Relevant bibliographies by topics / Decision-making Logics and Capabilities

Academic literature on the topic 'Decision-making Logics and Capabilities'

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Published: 23 August 2023

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Journal articles on the topic "Decision-making Logics and Capabilities"

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Johansson, Anette, Hanna-Kaisa Ellonen, and Ari Jantunen. "Magazine Publishers Embracing New Media: Exploring their Capabilities and Decision Making Logic." Journal of Media Business Studies 9, no. 2 (June 2012): 97–114. http://dx.doi.org/10.1080/16522354.2012.11073546.

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Namagembe, Sheila, Joseph Ntayi Mpeera, and Awad Kalid. "An examination of SME involvement in public procurement under bid lot sizing." Journal of Public Procurement 21, no. 4 (October 11, 2021): 370–98. http://dx.doi.org/10.1108/jopp-04-2020-0031.

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Purpose This study aims to examine the influence of market logics on tendering capabilities and small and medium enterprise (SME) involvement in public procurement, the influence of SME governance mechanisms on tendering capabilities and SME involvement in public procurement and the influence of tendering capabilities on SME involvement in public procurement. Design/methodology/approach Data was collected from owners/managers of SMEs registered by the Public Procurement and Disposal of Public Assets Authority. The SPSS software and CB-SEM software were used to obtain results on the influence of market logics on tendering capabilities and SME involvement in public procurement, the influence of SME governance mechanisms on tendering capabilities and SME involvement in public procurement and the influence of tendering capabilities on SME involvement in public procurement. Findings Findings indicated that SME involvement in public procurement is mainly influenced by their governance mechanisms whilst both market logics and governance mechanisms had a positive influence on tendering capabilities of SME firms. Market logics and tendering capabilities had no effect on SME involvement. Research limitations/implications The study mainly focussed on SMEs’ involvement in public procurement. The research has implications for decision makers in government and SME firms concerned with enhancing levels of SME involvement in public procurement activities. Originality/value Many governments are now focussing on procurement lot sizing so as to increase SME involvement in public procurement. Despite the use of lot sizing, SME involvement in public procurement is still low in many developing countries and also declining in others. Aspects such as market logics and governance mechanisms that may help understand the variations in involvement have not been given significant attention.
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Sadykov, Rafael Faritovich, and Mikhail Usamovich Mandrykin. "Complete decision procedure for the theory of bounded pointer arithmetic based on quantifier instantiation and SMT." Proceedings of the Institute for System Programming of the RAS 33, no. 4 (2021): 177–94. http://dx.doi.org/10.15514/ispras-2021-33(4)-13.

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The process of developing C programs is quite often prone to errors related to the uses of pointer arithmetic and operations on memory addresses. This promotes a need in developing various tools for automated program verification. One of the techniques frequently employed by those tools is invocation of appropriate decision procedures implemented within existing SMT-solvers. But at the same time both the SMT standard and most existing SMT-solvers lack the relevant logics (combinations of logical theories) for directly and precisely modelling the semantics of pointer operations in C. One of the possible ways to support these logics is to implement them in an SMT solver, but this approach can be time-consuming (as requires modifying the solver’s source code), inflexible (introducing any changes to the theory’s signature or semantics can be unreasonably hard) and limited (every solver has to be supported separately). Another way is to design and implement custom quantifier instantiation strategies. These strategies can be then used to translate formulas in the desired theory combinations to formulas in well-supported decidable logics such as QF_UFLIA. In this paper, we present an instantiation procedure for translating formulas in the theory of bounded pointer arithmetic into the QF_UFLIA logic. We formally proved soundness and completeness of our instantiation procedure in Isabelle/HOL. The paper presents an informal description of this proof of the proposed procedure. The theory of bounded pointer arithmetic itself was formulated based on known errors regarding the correct use of pointer arithmetic operations in industrial code as well as the semantics of these operations specified in the C standard. Similar procedure can also be defined for a practically relevant fragment of the theory of bit vectors (monotone propositional combinations of equalities between bitwise expressions). Our approach is sufficient to obtain efficient decision procedures implemented as Isabelle/HOL proof methods for several decidable logical theories used in C program verification by relying on the existing capabilities of well-known SMT solvers, such as Z3 and proof reconstruction capabilities of the Isabelle/HOL proof assistant.
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Haryanto, Joko, and Seng Hansun. "Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)." Jurnal ULTIMA Computing 7, no. 1 (August 22, 2016): 12–18. http://dx.doi.org/10.31937/sk.v7i1.448.

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This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major
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Glaser, Vern L., Neil Pollock, and Luciana D’Adderio. "The Biography of an Algorithm: Performing algorithmic technologies in organizations." Organization Theory 2, no. 2 (April 2021): 263178772110046. http://dx.doi.org/10.1177/26317877211004609.

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Algorithms are ubiquitous in modern organizations. Typically, researchers have viewed algorithms as self-contained computational tools that either magnify organizational capabilities or generate unintended negative consequences. To overcome this limited understanding of algorithms as stable entities, we propose two moves. The first entails building on a performative perspective to theorize algorithms as entangled, relational, emergent, and nested assemblages that use theories—and the sociomaterial networks they invoke—to automate decisions, enact roles and expertise, and perform calculations. The second move entails building on our dynamic perspective on algorithms to theorize how algorithms evolve as they move across contexts and over time. To this end, we introduce a biographical perspective on algorithms which traces their evolution by focusing on key “biographical moments.” We conclude by discussing how our performativity-inspired biographical perspective on algorithms can help management and organization scholars better understand organizational decision-making, the spread of technologies and their logics, and the dynamics of practices and routines.
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Paulauskaite-Taraseviciene, Agne, Vaidas Jukavicius, Nerijus Morkevicius, Raimundas Jasinevicius, Vytautas Petrauskas, and Vygintas Kazanavicius. "Statistical Evaluation of Four Technologies used for Intelectualization of Smart Home Environment." Information Technology And Control 44, no. 3 (September 24, 2015): 334–44. http://dx.doi.org/10.5755/j01.itc.44.3.11965.

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This paper addresses the issues of decision-making methods and their usage capabilities for intelligent control based on resident’s habits. Learning from the behaviour of the resident is essential for the system to adapt and provide intelligent control based on behaviour patterns. Different homes have different conditions and habits which have to be taken into account for the intelligent system to be useful. However, even deeply ingrained habits are subject to change over time. Therefore, an intelligent system has to respond to changing and diverse environment. Various decision-making methods have the potential of a number of benefits in providing intelligent control for the Smart home systems. In this paper, concurrent decision-making methods, including Artificial Neural Networks, Fuzzy Logic, Linear Programing and Bayesian, are employed with particular algorithms in order to provide control based on resident’s habits. These approaches are tested and compared within experimental scenarios for intelligent lightning control.DOI: http://dx.doi.org/10.5755/j01.itc.44.3.11965
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Florez Zuluaga, Jimmy Anderson, Esteban Patiño Carrasco, Jose David Ortega Pabon, Kelly Gallego Leon, and O. Lucia Quintero Montoya. "A Data Fusion System for Simulation of Critical Scenarios and Decision-Making." Ciencia e Ingeniería Neogranadina 30, no. 1 (November 12, 2019): 89–106. http://dx.doi.org/10.18359/rcin.4131.

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The decision-making (DM) process in critical environments is a complex process that can be simulated due to current telematic capabilities, which allow the real time interaction of large amounts of data. This document describes the proposed architecture from a research process, developed by the FAC Aerospace Technology Development Center (CETAD), where using computational and expert system tools, allowed to create a computational environment for decision maker evaluated his options to prepares for real events, simulating characteristics, resources and strategies in a real time environment. This document describes an investigation product resulted in a simulation system, based on a combination of fuzzy logic, genetic algorithms and decision trees which let modelled and simulated various entities and their automatic response according to simulated patterns and situations, in which, through operators, decision maker can modify entities behaviour, according to parameterized restrictions and physical conditions. Also based on business intelligence tools, reports are generated to evaluate the decisions made. This type of technologies improves planning capacity and facilitate the decision-making process. System allows simulating any media deployment in national security and critical events context. Thus, a case study was developed for implementation of a support in natural disaster scenario simulation
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Liu, Mai-di, Ke-wei Yang, Qing-qing Yang, and Zhi-wei Yang. "C3I cooperative decision system simulation and optimization based on genetic algorithm for surface warship formation." MATEC Web of Conferences 277 (2019): 03004. http://dx.doi.org/10.1051/matecconf/201927703004.

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The C3I cooperative decision system is the guarantee for combat capabilities of surface warship formations. At present, research on the C3I system simulation lays more emphasis on finding structural logic defects by executing the simulation model, lacking the application of intelligent optimization algorithms to optimize parameters in the system. In this paper, the cooperative decision-making process of surface warship formation defense system is studied. Meanwhile, modelling and optimization methods for cooperative decision system are proposed. Based on simulation models built on the ExtendSim platform, this paper optimizes the staffing strategy of decision makers based on the genetic algorithm, to improve the per capita decision efficiency. The optimized staffing strategy meets objectives and requirements. The research in this paper can provide a scientific and objective reference for relevant decision-makers and researchers.
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Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "SOFT COMPUTING: AN INTRODUCTION." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (June 30, 2018): 63. http://dx.doi.org/10.23956/ijarcsse.v8i6.615.

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Soft computing (SC) is a newly emerging multidisciplinary field. It is a collection of computational techniques, such as expert systems, fuzzy logic, neural networks, and evolutionary algorithms, which provide information processing capabilities to solve complex practical problems. The major benefit of SC lies in its ability to tolerate imprecision, uncertainty, partial truth, and approximation in processing imprecise and inaccurate information and simulating human decision making at low cost. This paper provides a brief introduction on soft computing.
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Princes, Elfindah, Harjanto Prabowo, Mohammad Hamsal, and Andi William. "Strategic Impulses Urgency in the era of Industry 4.0." Asia Proceedings of Social Sciences 4, no. 2 (April 22, 2019): 146–48. http://dx.doi.org/10.31580/apss.v4i2.769.

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The speed of changes in the era of Industry 4.0 has left us no choice but to be agile, adaptive and have dynamic capabilities to keep the firm performance on the track(Gilchrist, 2016). Being adaptive and agile means innovation, the firms must innovate and managing innovation. Studies confirm that only 12% of organizations succesfully manage innovation and only half of these do so consistently across time(Kleinknecht et al., 2009). Without any doubts, there are many times when the top managements are having hard time adapting to the situation, especially when inevitable events happen and they must respond at once. This is the part where the strategic impulses are very important, though it is long debated, as Impulse-driven logics are notoriously difficult to identify, isolate and describe (Hunt and Lerner, 2017) and rational decision-making often result in an optimal response of inaction. But it is also undeniable that strategic impulses have given lots of benefits and have lots of business opportunities (Daniel Lerner and Dimo Dimov, 2016). Strategic impulses in the era of industry 4.0 are without any doubt a must to firm performance if the firm wants to survive and increase its performance.
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Dissertations / Theses on the topic "Decision-making Logics and Capabilities"

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Macoubrie, Jane. "Decision logics in juries /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/8265.

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Jiang, Guifei. "Logics for strategic reasoning and collective decision-making." Thesis, Toulouse 1, 2016. http://hdl.handle.net/1959.7/uws:37709.

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Strategic decision-making is ubiquitous in everyday life. The analysis of game strategies has been a research theme in game theory for several decades since von Neumann and Morgenstern. Sophisticated models and analysis tools have been developed with wide applications in Economics, Management Science, Social Science and Computer Science, especially in the field of Artificial Intelligence. However, \much of game theory is about the question whether strategic equilibria exist", as Johan van Benthem, a world-leading logician and game-theorist, points out, \but there are hardly any explicit languages for defining, comparing, or combining strategies". Without such a facility it is challenging for computer scientists to build intelligent agents that are capable of strategic decision-making. In the last twenty years, logical approaches have been proposed to tackle this problem. Pioneering work includes Game Logics, Coalition Logic and Alternating-time Temporal Logic (ATL). These logics either provide facilities for expressing and combining games or offer mechanisms for reasoning about strategic abilities of players. But none of them can solve the problem. The intrinsic difficulty in establishing such a logic is that reasoning about strategies requires combinations of temporal reasoning, counterfactual reasoning, reasoning about actions, preferences and knowledge, as well as reasoning about multi-agent interactions and coalitional abilities. More recently, a few new logical formalisms have been proposed by extending ATL with strategy variables in order to express strategies explicitly. However, most of these logics tend to have high computational complexity, because ATL introduces quantifications over strategies (functions), which leaves little hope of building any tractable inference system based on such a logic. This thesis takes up the challenge by using a bottom-up approach in order to create a balance between expressive power and computational efficiency. Instead of starting with a highly complicated logic, we propose a set of logical frameworks based on a simple and practical logical language, called Game Description Language (GDL), which has been used as an official language for General Game Playing (GGP) since 2005. To represent game strategies, we extend GDL with two binary prioritized connectives for combining actions in terms of their priorities specified by these connectives, and provide it with a semantics based on the standard state transition model. To reason about the strategic abilities of players, we further extend the framework with coalition operators from ATL for specifying the strategic abilities of players. More importantly, a unified semantics is provided for both GDL- and ATL- formulas, which allows us to verify and reason about game strategies. Interestingly, the framework can be used to formalize the fundamental game-playing principles and formally derive two well-known results on two-player games: Weak Determinacy and Zermelo's Theorem. We also show that the model-checking problem of the logic is not worse than that of ATL*, an extension of ATL. To deal with imperfect information games, we extend GDL with the standard epistemic operators and provide it with a semantics based on the epistemic state transition model. The language allows us to specify an imperfect information game and formalize its epistemic properties. Meanwhile, the framework allows us to reason about players' own as well as other players' knowledge during game playing. Most importantly, the logic has a moderate computational complexity, which makes it significantly different from similar existing frameworks. To investigate the interplay between knowledge shared by a group of players and its coalitional abilities, we provide a variant of semantics for ATL with imperfect information. The relation between knowledge sharing and coalitional abilities is investigated through the interplay of epistemic and coalition modalities. Moreover, this semantics is able to preserve the desirable properties of coalitional abilities. To deal with collective decision-making, we apply the approach of combining actions via their priorities for collective choice. We extend propositional logic with the prioritized connective for modelling reason-based individual and collective choices. Not only individual preferences but also aggregation rules can be expressed within this logic. A model-checking algorithm for this logic is thus developed to automatically generate individual and collective choices. In many real-world situations, a group making collective judgments may assign individual members or subgroups different priorities to determine the collective judgment. We design an aggregation rule based on the priorities of individuals so as to investigate how the judgment from each individual affects group judgment in a hierarchical environment. We also show that this rule satisfies a set of plausible conditions and has a tractable computational complexity.
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Jiang, Guifei. "Logics for strategic reasoning and collective decision-making." Thesis, Toulouse 1, 2016. http://www.theses.fr/2016TOU10019/document.

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Cette thèse aborde le problème du raisonnement stratégique. Le raisonnement stratégique est un thème de recherches existant depuis e nombreuses années en théorie des jeux. Toutefois, celui-ci a le plus souvent pour objet de déterminer si des équilibres stratégiques existent sans détailler la définition en elle-même de ces stratégies. La construction d'agents artificiels capable de raisonner stratégiquement implique de se poser la question de la représentation de ces stratégies afin que les agents puissent les construire, combiner, comparer et enfin et surtout exécuter. Cette thèse propose un ensemble de logiques pour le raisonnement stratégique et la prise de décision collective. Elle établit dans un premier temps un cadre unifiée pour la définition de jeux, la représentation de stratégies et le raisonnement sur celles-ci dans le contexte des jeux à information parfaite. Ce cadre est ensuite étendu pour prendre en compte les jeux à information imparfaite. Les relations entre les connaissances de groupe, le pouvoir des coalitions ainsi que le partage d'informations dans une coalition sont ensuite étudiés. Dans un dernier temps, est introduit une logique modale permettant de de raisonner sur les choix collectifs, cette logique permet de généraliser les approches logiques existantes pour l'agrégation de jugements. La complexité de ces différents cadres logiques est aussi étudiée et nous montrons que ces différents cadres offre un équilibre pertinent entre efficacité computationnelle et pouvoir d'expression
This thesis proposes a set of logics for modelling strategic reasoning and collective decision-making. It first establishes a unified logical framework for game specifications, strategy representation and strategic reasoning in perfect information games. Based on that, it proposes an epistemic extension to address imperfect information games. To investigate the interplay of group knowledge and coalitional abilities, it further models knowledge sharing within coalitions. Finally it introduces a modal logic for collective choice and generalizes the logic-based approach to judgment aggregation. The complexity analysis of these logics indicates that these frameworks make a good balance between expressive power and computational efficiency
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Bouma, Matthew F. "Medical evacuation and treatment capabilities optimization model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FBouma.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 2005.
Thesis Advisor(s): Moshe Kress, Matt Boensel. Includes bibliographical references (p. 95-99). Also available online.
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Boyce, John S. "Linking PPBES and the POM with capabilities." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FBoyce.pdf.

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Lubbe, Hendrik Gideon. "Intelligent automated guided vehicle (AGV) with genetic algorithm decision making capabilities." Thesis, [Bloemfontein?] : Central University of Technology, Free State, 2007. http://hdl.handle.net/11462/85.

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Thesis (M.Tech.) - Central University of Technology, Free State, 2006
The ultimate goal regarding this research was to make an intelligent learning machine, thus a new method had to be developed. This was to be made possible by creating a programme that generates another programme. By constantly changing the generated programme to improve itself, the machines are given the ability to adapt to there surroundings and, thus, learn from experience. This generated programme had to perform a specific task. For this experiment the programme was generated for a simulated PIC microcontroller aboard a simulated robot. The goal was to get the robot as close to a specific position inside a simulated maze as possible. The robot therefore had to show the ability to avoid obstacles, although only the distance to the destination was given as an indication of how well the generated programme was performing. The programme performed experiments by randomly changing a number of instructions in the current generated programme. The generated programme was evaluated by simulating the reactions of the robot. If the change to the generated programme resulted in getting the robot closer to the destination, then the changed generated programme was kept for future use. If the change resulted in a less desired reaction, then the newly generated programme was removed and the unchanged programme was kept for future use. This process was repeated for a total of one hundred thousand times before the generated program was considered valid. Because there was a very slim chance that the instruction chosen will be advantageous to the programme, it will take many changes to get the desired instruction and, thus, the desired result. After each change an evaluation was made through simulation. The amount of necessary changes to the programme is greatly reduced by giving seemingly desirable instructions a higher chance of being chosen than the other seemingly unsatisfactory instructions. Due to the extensive use of the random function in this experiment, the results differ from one another. To overcome this barrier, many individual programmes had to be generated by simulating and changing an instruction in the generated programme a hundred thousand times. This method was compared against Genetic Algorithms, which were used to generate a programme for the same simulated robot. The new method made the robot adapt much faster to its surroundings than the Genetic Algorithms. A physical robot, similar to the virtual one, was build to prove that the programmes generated could be used on a physical robot. There were quite a number of differences between the generated programmes and the way in which a human would generally construct the programme. Therefore, this method not only gives programmers a new perspective, but could also possibly do what human programmers have not been able to achieve in the past.
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Kullenda, Kuben. "Enabling firm performance through data driven decision making in maintenance management : a dynamic capabilities view." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/79594.

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Maintenance management is seen as a “necessary evil”, rather than a profit contributing resource that could intensify competitive advantage for the organisation. With the world facing the fourth industrial revolution, a radical increase in the reshaping of companies and competition within asset intensive industries is being observed. Organisations in these industries are being forced to rethink traditional ways of working and gearing the workforce with higher and more diversified competency profiles. This suggests that the traditional way of executing maintenance management, being predominantly reactive with the lack of data driven decision making, is certainly inadequate for a sustainable competitive advantage. An improved way of managing maintenance should be through developing and applying dynamic capabilities within the maintenance domain of the organisation. This research draws on theories of dynamic capabilities (DC), decision making performance (DMP), business process performance (BPP) and firm performance (Fper), in the context of data driven decision making in organisations heavily reliant on good maintenance management practices. The aim of this study was to explore and understand the relationships between these constructs, for insight into further improvement and development of a competitive advantage. The findings presented a statistically significant relationship between DC and Fper, DC and BPP, DC and DMP, but most importantly, a multiple full indirect mediation role was observed, which provides insights for both business and for further studies in academia.
Mini Dissertation (MBA)--University of Pretoria, 2020.
pt2021
Gordon Institute of Business Science (GIBS)
MBA
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Sanssoucie, Kim Clare. "Critical resources and capabilities of sustainable entrepreneurial orientation and its linkage to strategic decision-making." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/75273.

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Multiple strategic orientations are management philosophies and practices that assist organisations with internal preparation for quicker responses to external environmental changes. An organisations ability to integrate and foster a Sustainable Entrepreneurial Orientation (SEO) into their business strategies, organisational routines, culture and leadership values is yet to be studied. In view of this, this study responds to this unique research gap through exploring the critical resources and capabilities which enable organisations to intentionally foster SEO and identifying its linkage to strategic decision-making. Establishing which organisational components have considerable influence on SEO will enable organisations to recognise opportunities and constraints of their internal contexts and better equip themselves to enact sustainability and innovation focused activities in response to the grand economic, social and ecological challenges facing society and business. The choice of methodology is qualitative research which used one-on-one in-depth interviews with interview respondents in an emerging market context (South Africa) and a developed market context (Italy) which triangulated the data of this phenomenon. The results indicated that intangible, human-centred resources such as leadership, culture and human capital are the most critical resources for SEO to be fostered which must work systemically in combination with each other and through strategic decision-making organisations can gain competitive advantage, firm performance, new resources and capabilities and a continued licence to operate in society. Market context affects this relationship. The study generated the Integrated Sustainable Entrepreneurial Strategy (ISES) Model which can be used by strategic managers and executives to foster SEO within their organisations.
Mini Dissertation (MBA)--University of Pretoria, 2020.
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
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Rowe, Elizabeth A. "Life-saving and life-changing: The decision-making processes of people seeking asylum." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116152/2/Elizabeth_Rowe_Thesis.pdf.

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This thesis examines the decision-making processes of people seeking asylum in Australia, using semi-structured interviews with two participant groups: asylum seekers and service providers. This research demonstrates that asylum seekers have multiple and interconnected reasons and aspirations underpinning their migration decisions. Asylum seekers' experiences, and the decisions they make, are more complex than individuals responding to only undesirable factors in their home country and desirable factors in destination countries. The asylum seekers were making decisions to fulfil their migration aspirations. Seeking a safe place in which it would be possible to build a better life is the priority.
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Işik, Öykü. "Business Intelligence Success: An Empirical Evaluation of the Role of BI Capabilities and the Decision Environment." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc30472/.

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Since the concept of business intelligence (BI) was introduced in the late 1980s, many organizations have implemented BI to improve performance but not all BI initiatives have been successful. Practitioners and academicians have discussed the reasons for success and failure, yet, a consistent picture about how to achieve BI success has not yet emerged. The purpose of this dissertation is to help fill the gap in research and provide a better understanding of BI success by examining the impact of BI capabilities on BI success, in the presence of different decision environments. The decision environment is a composition of the decision types and the way the required information is processed to aid in decision making. BI capabilities are defined as critical functionalities that help an organization improve its performance, and they are examined in terms of organizational and technological capabilities. An online survey is used to obtain the data and partial least squares path modeling (PLS) is used for analysis. The results of this dissertation suggest that all technological capabilities as well as one of the organizational capabilities, flexibility, significantly impact BI success. Results also indicate that the moderating effect of decision environment is significant for quantitative data quality. These findings provide richer insight in the role of the decision environment in BI success and a framework with which future research on the relationship between BI capabilities and BI success can be conducted. Findings may also contribute to practice by presenting information for managers and users of BI to consider about their decision environment in assessing BI success.
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Books on the topic "Decision-making Logics and Capabilities"

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Exploring demographic decision-making: Raw materials towards understanding the affective logics. Milano, Italy: FrancoAngeli, 2006.

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W, Morecroft John D., Sanchez Ron, and Heene Aimé, eds. Systems perspectives on resources, capabilities, and management processes. Amsterdam: Pergamon, 2002.

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Netherlands. Ministerie van Verkeer en Waterstaat. and European-American Center for Policy Analysis., eds. Characteristics and capabilities of Dutch freight transportation system models. Santa Monica, CA: Rand, 1994.

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Giuseppe, Zollo, and International Association for Fuzzy-set Management and Economy., eds. New logics for the new economy: VIII SIGEF Congress proceedings. Napoli: Edizioni Scientifiche Italiane, 2001.

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Accidental logics: The dynamics of change in the health care arena in the United States, Britain, and Canada. New York: Oxford University Press, 1999.

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Markets from culture: Institutional logics and organizational decisions in higher education publishing. Stanford, Calif: Stanford Business Books, 2004.

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Leed, Maren. Tough choices: Sustaining amphibious capabilities' contributions to strategic shaping. Washington, DC: Center for Strategic and International Studies, 2011.

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Lepora, Nathan F. Decision making. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0028.

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Decision making is the process by which alternatives are deliberated and chosen based on the values and goals of the decision maker. In this chapter, we describe recent progress in understanding how living organisms make decisions and the implications for engineering artificial systems with decision-making capabilities. Nature appears to re-use design principles for decision making across a hierarchy of organizational levels, from cells to organisms to entire populations. One common principle is that decision formation is realized by accumulating sensory evidence up to a threshold, approximating the optimal statistical technique of sequential analysis. Sequential analysis has applications spanning from cryptography to clinical drug testing. Artificial perception based on sequential analysis has advanced robot capabilities, enabling robust sensing under uncertainty. Future applications could lead to individual robots, or artificial swarms, that perceive and interact with complex environments with an ease and robustness now achievable only by living organisms.
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JACOBS, Harley. Be the Boss of Success: Decision Making and Problem Solving Capabilities. Independently Published, 2022.

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Systems Perspectives on Resources, Capabilities, and Management Processes (Advanced Series in Management). Pergamon, 2002.

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Book chapters on the topic "Decision-making Logics and Capabilities"

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Li, Yangge, Haoqing Zhu, Katherine Braught, Keyi Shen, and Sayan Mitra. "Verse: A Python Library for Reasoning About Multi-agent Hybrid System Scenarios." In Computer Aided Verification, 351–64. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37706-8_18.

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Abstract We present the Verse library with the aim of making hybrid system verification more usable for multi-agent scenarios. In Verse, decision making agents move in a map and interact with each other through sensors. The decision logic for each agent is written in a subset of Python and the continuous dynamics is given by a black-box simulator. Multiple agents can be instantiated, and they can be ported to different maps for creating scenarios. Verse provides functions for simulating and verifying such scenarios using existing reachability analysis algorithms. We illustrate capabilities and use cases of the library with heterogeneous agents, incremental verification, different sensor models, and plug-n-play subroutines for post computations.
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Bessmertny, Igor, Nikolai Sukhikh, Jury Vedernikov, and Julia Koroleva. "Ternary Logics in Decision Making." In Lecture Notes in Networks and Systems, 411–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68476-1_38.

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Pischedda, Costantino. "The Appeasement Puzzle and Competition Neglect." In Studi e saggi, 123–40. Florence: Firenze University Press, 2022. http://dx.doi.org/10.36253/978-88-5518-595-0.11.

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Recent studies indicate that British appeasement towards Hitler followed a buying-time logic, i.e., it tried to postpone confrontation until Great Britain improved its military position through rearmament. However, this chapter shows that Germany actually extended its military edge over the appeasement years. Drawing on the literature on judgment and decision-making, the chapter theorizes that competition neglect – the tendency to focus myopically on one’s own capabilities and pay insufficient attention to those of the competition – may explain the puzzling gap between British policymakers’ plans and actual trends in the balance of power. The competition neglect thesis and an alternative explanation, positing the occurrence of miscalculation, are tested with a case study of British foreign policy towards Germany in 1937-38.
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Heymans, Stijn, Davy Van Nieuwenborgh, and Dirk Vermeir. "Hierarchical Decision Making by Autonomous Agents." In Logics in Artificial Intelligence, 44–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30227-8_7.

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Bubnicki, Zdzislaw. "Uncertain Logics and Variables." In Analysis and Decision Making in Uncertain Systems, 63–84. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3760-3_4.

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Vos, Marina De, and Dirk Vermeir. "A Logic for Modeling Decision Making with Dynamic Preferences." In Logics in Artificial Intelligence, 391–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40006-0_27.

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Schulkin, Jay. "Cephalic Capabilities and Medical Decision Making: Endlessly Imperfect." In Naturalism and Pragmatism, 83–121. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1007/978-1-137-02649-1_4.

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Brommesson, Douglas, and Ann-Marie Ekengren. "Mixed Logics at Play in Libya." In The Mediatization of Foreign Policy, Political Decision-Making, and Humanitarian Intervention, 117–71. New York: Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-54461-2_6.

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Zohuri, Bahman, and Masoud Moghaddam. "Defining Threats and Critical Points for Decision-Making." In Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation, 299–345. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53417-6_12.

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Geyda, Alexander. "Dynamic Capabilities Indicators Estimation of Information Technology Usage in Technological Systems." In Recent Research in Control Engineering and Decision Making, 379–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12072-6_31.

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Conference papers on the topic "Decision-making Logics and Capabilities"

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D'Asaro, Fabio Aurelio, Paolo Baldi, and Giuseppe Primiero. "Introducing k-lingo: a k-depth Bounded Version of ASP System Clingo." In 18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/kr.2021/65.

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Depth-Bounded Boolean Logics (DBBL for short) are well-understood frameworks to model rational agents equipped with limited deductive capabilities. These Logics use a parameter k>=0 to limit the amount of virtual information, i.e., the information that the agent may temporarily assume throughout the deductive process. This restriction brings several advantageous properties over classical Propositional Logic, including polynomial decision procedures for deducibility and refutability. Inspired by DBBL, we propose a limited-depth version of the popular ASP system \clingo, tentatively dubbed k-lingo after the bound k on virtual information. We illustrate the connection between DBBL and ASP through examples involving both proof-theoretical and implementative aspects. The paper concludes with some comments on future work, which include a computational complexity characterization of the system, applications to multi-agent systems and feasible approximations of probability functions.
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Chitikeshi, Sanjeevi, Ajay Mahajan, Tsuchin Chu, and Jarlen Don. "A Fuzzy Logic Based Decision Making System for Fusing Measurements From an E-Puffer and E-Sniffer Sensing Systems for Detecting Explosives." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42922.

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This is primarily a concept paper and describes a decision making system that fuses the output from cold plasma based E-Puffer and E-Sniffer sensing systems to reliably detect explosive traces. This paper describes research and development of a novel non-contact method to detect explosive bearing personnel, baggage and vehicles that is based on the integration of a multitude of key technologies, primarily cold/atmospheric plasma and pattern recognition/decision making capabilities. This work will ultimately lead to a viable system that can be installed in doorways of buildings, garages, baggage carousals, etc. that will trigger a positive response when detecting explosive traces on personnel, bags or vehicles going thru a doorway. This paper describes the basic product concept and provides preliminary results of the fusion process from a simulated data set of output measurements from the two orthogonal measurement systems.
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Eddy, Douglas, Justin Calderara, Mark Price, Sundar Krishnamurty, and Ian Grosse. "Approach Towards a Decision Support System for Additive Manufacturing." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60507.

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Advancements in the capabilities of additive manufacturing (AM) have increased its usage as an appropriate manufacturing process, particularly when the number of parts in an assembly can be significantly reduced, production volumes are low, or geometric complexity is difficult, if not impossible, to obtain through conventional subtractive processes. However, there are many reasons why it is best to not design a given part based on AM technology. The choice of conventional versus AM manufacturing must occur as early as possible in the design process as this choice can substantially affect how the product is designed. Making the wrong decision will lead to wasted design time, increased time to market the product, a functionally inferior design, and/or a costlier product. To address this critical manufacturing decision, we introduce a usable template and a decision making method for manufacturing process selection which is integrated early into the design process (DS-SAM). This work can serve as the logical foundation for a potential holistic and more mathematically rigorous formulation toward a decision making method that could infer design evaluations based on designer inputs. This approach improves early design efficiency and effectiveness by methodically focusing on the key design process elements to optimally compare alternatives earlier in a design process. The benefits and potential cost savings of using the DS-SAM approach are demonstrated by a pair of case studies, and the results are discussed.
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Amer, Saed, Dana Alhashmi, Ravindra Goonetilleke, and Ahmad Mayyas. "Instrumenting the Human into Safety 4.0." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002148.

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Managing the workers’ health and safety faces many challenges due to the dependency on human interactions especially when it comes to human monitoring and detecting nonconformance. Conventionally, the input to HSE making decisions is collected from the worker himself or by an HSE officer making it mostly biased and hard to communicate. The team proposes a constant and continuous approach to objectively monitor the workers using machine vision capabilities along with smart decision-making tools to detect, recognize and classify human behaviors. The input of the system is coherent and effective while the output is unbiased, quantifiable, and communicable, the needed ingredients to integrate the human worker into Industry 4.0. The scope of this work focuses on the worker’s health and safety setting another building block in the Safety 4.0 vision. The proposed system consists of multiple integrated components including continuous video streaming devices, Machine vision components, computer logic for decision making, communication schemes, and locally implemented effectors. The system was tested on a simulated environment using a human factors simulation platform then was validated with actual environments with workers acting with HSE nonconformance while performing different tasks. The results show the system’s ability to recognize the human posture, speed, and throughput then compare it to the HSE guidelines. The results also show that the system was able to provide fast responses by giving warnings, reporting an incident to the management, or shutting the process down if an injury is recognized. Finally, the system generates data and reports that are ready to be transmitted onto the Internet of Things.
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Mahani, Maziar Fooladi, and Yue Wang. "Trust-Based Runtime Verification for Multi-Quad-Rotor Motion Planning With a Human-in-the-Loop." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9174.

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In this paper, we propose a trust-based runtime verification (RV) framework for deploying multiple quad-rotors with a human-in-the-loop (HIL). By bringing together approaches from runtime verification, trust-based decision-making, human-robot interaction (HRI), and hybrid systems, we develop a unified framework that is capable of integrating human cognitive skills with autonomous capabilities of multi-robot systems to improve system performance and maximize the intuitiveness of the human-robot-interaction. On top of the RV framework, we utilize a probabilistic trust inference model as the key component in forming the HRI, designed to maintain the system performance. A violation avoidance controller is designed to account for the unexpected/unmodeled environment behaviors e.g. collision with static/moving obstacles. We also use the automata theoretic approaches to generate motion plans for the quad-rotors working in a partially-known environment by automatic synthesis of controllers enforcing specifications given in temporal logic languages. Finally, we illustrated the effectiveness of this framework as well as its feasibility through a simulated case study.
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Chalgham, Wadie, Mihai Diaconeasa, Keo-Yuan Wu, and Ali Mosleh. "A Dynamic Pipeline Network Health Assessment Software Platform for Optimal Risk-Based Prioritization of Inspection, Structural Health Monitoring, and Proactive Management." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11806.

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Abstract The Pipeline Health Monitoring and Management web application is a risk-based pipeline integrity management support tool to support pipeline operators in decision-making and planning activities. The platform design is supported by a multi-disciplinary science and engineering approach for a comprehensive, state-of-the-art solution. The goal of the software platform is to integrate the data, methods, and technologies into a dynamic pipeline heath monitoring system supported by multiple probabilistic predictive models such as dynamic hybrid causal logic, corrosion prognosis, and sensor placement optimization models. This total system health management support tool provides online or offline updates on the reliability state of various segments of the pipeline system, and dynamically updates the recommendations on when and where to take mitigating actions, e.g., increase or decrease inspection frequency. The pipeline health monitoring system software platform under development provides the ability for (a) Integrity assessment based on comprehensive range of evidence from sensing, inspection, and real-time monitoring in addition to probabilistic integration of mechanistic models and data on failure mechanisms relating to various causal factors (e.g., uniform corrosion, pitting corrosion, etc.) for assessment of the pipe segment health (remaining life); (b) Dynamic pipeline network probabilistic health assessment model software for optimal risk-based prioritization of inspection and proactive management, and (c) Geographical mapping capabilities that will augment the interaction of the pipeline operators with the pipeline system such as viewing pipeline/sensor locations, and adding new pipelines if desired. The selected computational foundation for the assessment is the hybrid causal logic engine with a wide range of capabilities in terms of system model building and probabilistic analysis of various types of evidence for assessment of model parameters. On this foundation we are adding capabilities to integrate predictive corrosion models, sensor placement optimization, and computational modules to perform pipeline health assessment, and develop inspection and maintenance strategies. The resulting software will be deployed as a control room health dashboard and hand-held web-based field inspection support tool.
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CHENG, JINGDE. "ADAPTIVE DECISION MAKING BY REASONING BASED ON RELEVANT LOGICS." In Proceedings of the 9th International FLINS Conference. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814324700_0081.

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van der Vegte, Wilhelm “Wilfred” F., and Imre Horva´th. "Closing the Loops Without Human Subjects: A Survey of Control Approaches in Simulation of Human-Artifact Interaction." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28129.

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To include interactions with human users in simulations of the use of products, the most common approach is to couple human subjects to the behavioral product model in the simulation loop using interfaces based on VR and haptics. Replacing human subjects by human models with simulation capabilities could offer a cost-saving alternative. Currently available human models have not yet been deployed this way. This paper explores the possibilities to achieve mutual closed-loop coupling between human models and artifact models for enabling fully software-based interaction simulations. We have not only investigated human control in simulations, but also solutions to include embedded control in artifacts. The paper critically reviews existing (partial) solutions to simulate or execute control behaviors, and to close the control loops we identified in human-artifact interaction simulation. We concluded that closed-loop control of interaction simulations can be achieved by selectively combining existing partial solutions. Inclusion of decision-making appears to be the biggest challenge. Promising solutions are (i) cognitive simulation and (ii) execution of conjectured interactions specified as logical instructions, typically in the form of scenarios. Based on scenarios, which we expect to be more intuitive for designers, a new approach is now being developed.
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Andreeva, P., M. Karev, and Ts Kovacheva. "Decision making in prioritization of required operational capabilities." In RECENT DEVELOPMENTS IN NONLINEAR ACOUSTICS: 20th International Symposium on Nonlinear Acoustics including the 2nd International Sonic Boom Forum. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4934344.

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Maiorano, Massimo, and Enrico Sciubba. "Heat Exchangers Networks Synthesis and Optimisation Performed by an Exergy-Based Expert Assistant." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0851.

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Abstract This paper presents a novel method for the design of “optimal” (or quasi-optimal) HEN. The method consists of an Expert System (“ES”) based on a small number of powerful and strongly selective heuristic rules. The important contribution of this study does not lie in the formulation of the rules, that have been adapted from the existing literature, but in their expression as logical propositions, and in their subsequent implementation in a prototype ES that performs interactively with the user. It is not unusual to find chemical processes with as many as 100 interacting streams, and even simple thermal processes, excluding refineries and chemical plants, contain at least a 10-streams-HEN: hence the high demand for an “automatic” (in some sense) Design Procedure that may conveniently be adapted to design-and-optimisation problems. Pinch Technology (“PT”), at present the almost universally adopted design procedure, is very successful in most types of applications (except in cases where mechanical and thermal power must be optimised concurrently), but it constitutes an operative tool, and does not improve its user’s comprehension of the problem: it assumes, rather, that the user is already familiar with the design of HEN. The approach we present in this paper is entirely different: we do not “mask” the thermodynamic and thermo-economic principles that guide the engineer in the path towards the “optimal” HEN configuration, and do not allow concerns about “user friendliness” to impair the necessary participation of the user to the HEN synthesis procedure. In fact, though our ES (which we prefer to call “Expert Assistant”, to underline its peculiarity of constantly interacting with the user) is still lacking many of the capabilities that a good designer possesses, the underlying procedure is, unlike any of the other existing Design-and-Optimisation Procedures, entirely inspectable by the user for what its decision-making rules are concerned. It can be interrogated about its decision making, so that the logical path followed from the design data to the final solution can be inspected at will, and it can be used to directly compare different alternatives in a logically systematic fashion. The paper begins with a brief review of the HEN design problem, followed by a critical discussion of the heuristic rules that form the basis for the Inference Engine of the Expert System. The formalisation of these rules into logical propositions suitable for Knowledge Based Methods is then presented, and the resulting macrocode developed. As a preliminary validation, two examples of application of the code (named Heat Exchanger Network Expert Assistant, HENEA for short) are presented and discussed: since both cases have published, and their “optimal” solutions are known, the performance of HENEA can be assessed by comparison.
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Reports on the topic "Decision-making Logics and Capabilities"

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Ruvinsky, Alicia, Timothy Garton, Daniel Chausse, Rajeev Agrawal, Harland Yu, and Ernest Miller. Accelerating the tactical decision process with High-Performance Computing (HPC) on the edge : motivation, framework, and use cases. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42169.

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Managing the ever-growing volume and velocity of data across the battlefield is a critical problem for warfighters. Solving this problem will require a fundamental change in how battlefield analyses are performed. A new approach to making decisions on the battlefield will eliminate data transport delays by moving the analytical capabilities closer to data sources. Decision cycles depend on the speed at which data can be captured and converted to actionable information for decision making. Real-time situational awareness is achieved by locating computational assets at the tactical edge. Accelerating the tactical decision process leverages capabilities in three technology areas: (1) High-Performance Computing (HPC), (2) Machine Learning (ML), and (3) Internet of Things (IoT). Exploiting these areas can reduce network traffic and shorten the time required to transform data into actionable information. Faster decision cycles may revolutionize battlefield operations. Presented is an overview of an artificial intelligence (AI) system design for near-real-time analytics in a tactical operational environment executing on co-located, mobile HPC hardware. The report contains the following sections, (1) an introduction describing motivation, background, and state of technology, (2) descriptions of tactical decision process leveraging HPC problem definition and use case, and (3) HPC tactical data analytics framework design enabling data to decisions.
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Lasko, Kristofer, and Sean Griffin. Monitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classification. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40262.

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Monitoring the impacts of ecosystem restoration strategies requires both short-term and long-term land surface monitoring. The combined use of unmanned aerial systems (UAS) and satellite imagery enable effective landscape and natural resource management. However, processing, analyzing, and creating derivative imagery products can be time consuming, manually intensive, and cost prohibitive. In order to provide fast, accurate, and standardized UAS and satellite imagery processing, we have developed a suite of easy-to-use tools integrated into the graphical user interface (GUI) of ArcMap and ArcGIS Pro as well as open-source solutions using NodeOpenDroneMap. We built the Monitoring Ecological Restoration with Imagery Tools (MERIT) using Python and leveraging third-party libraries and open-source software capabilities typically unavailable within ArcGIS. MERIT will save US Army Corps of Engineers (USACE) districts significant time in data acquisition, processing, and analysis by allowing a user to move from image acquisition and preprocessing to a final output for decision-making with one application. Although we designed MERIT for use in wetlands research, many tools have regional or global relevancy for a variety of environmental monitoring initiatives.
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Dopfer, Jaqui. Öffentlichkeitsbeteiligung bei diskursiven Konfliktlösungsverfahren auf regionaler Ebene. Potentielle Ansätze zur Nutzung von Risikokommunikation im Rahmen von e-Government. Sonderforschungsgruppe Institutionenanalyse, 2003. http://dx.doi.org/10.46850/sofia.3933795605.

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Whereas at the end of the 20th century there were still high expectations associated with the use of new media in terms of a democratisation of social discourse and new potential for citizens to participate in political decision-making, disillusionment is now spreading. Even today, the internet is often seen only as a technical tool for the transmission of information and communication, which serves as a structural supplement to "real" discourse and decision-making processes. In fact, however, the use of new media can open up additional, previously non-existent possibilities for well-founded and substantial citizen participation, especially at regional and supra-regional level. According to the results of this study, the informal, mediative procedures for conflict resolution in the context of high-risk planning decisions, which are now also increasingly used at the regional level, have two main problem areas. Firstly, in the conception and design chosen so far, they do not offer citizens direct access to the procedure. Citizens are given almost no opportunities to exert substantial influence on the content and procedure of the process, or on the solutions found in the process. So far, this has not been remedied by the use of new media. On the other hand, it is becoming apparent that the results negotiated in the procedure are not, or only inadequately, reflected in the subsequent sovereign decision. This means that not only valuable resources for identifying the problem situation and for integrative problem-solving remain unused, but it is also not possible to realise the effects anticipated with the participation procedures within the framework of context or reflexive self-management. With the aim of advancing the development of institutionally oriented approaches at the practice level, this study discusses potential solutions at the procedural level. This takes into account legal implications as well as the action logics, motives and intentions of the actors involved and aims to improve e-government structures. It becomes evident that opening up informal participation procedures for citizen participation at the regional level can only be realised through the (targeted) use of new media. However, this requires a fundamentally new approach not only in the participation procedures carried out but also, for example, in the conception of information or communication offerings. Opportunities for improving the use of the results obtained from the informal procedures in the (sovereign) decision-making process as well as the development of potentials in the sense of stronger self-control of social subsystems are identified in a stronger interlinking of informal and sovereign procedures. The prerequisite for this is not only the establishment of suitable structures, but above all the willingness of decision-makers to allow citizens to participate in decision-making, as well as the granting of participation opportunities and rights that go beyond those previously granted in sovereign procedures.
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Razdan, Rahul. Unsettled Issues Regarding Autonomous Vehicles and Open-source Software. SAE International, April 2021. http://dx.doi.org/10.4271/epr2021009.

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As automobiles morph from stand-alone mechanical objects to highly connected, autonomous systems with increasing amounts of electronic components. To manage these complex systems, some semblance of in-car decision-making is also being built and networked to a cloud architecture. This cloud can also enable even deeper capabilities within the broader automotive ecosystem. Unsettled Issues Regarding Autonomous Vehicles and Open-source Software introduces the impact of software in advanced automotive applications, the role of open-source communities in accelerating innovation, and the important topic of safety and cybersecurity. As electronic functionality is captured in software and a bigger percentage of that software is open-source code, some critical challenges arise concerning security and validation.
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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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Hubbard, Sarah M., and Bryan Hubbard. Investigation of Strategic Deployment Opportunities for Unmanned Aerial Systems (UAS) at INDOT. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317126.

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Unmanned aerial systems (UAS) are increasingly used for a variety of applications related to INDOT’s mission including bridge inspection, traffic management, incident response, construction and roadway mapping. UAS have the potential to reduce costs and increase capabilities. Other state DOTs and transportation agencies have deployed UAS for an increasing number of applications due to technology advances that provide increased capabilities and lower costs, resulting from regulatory changes that simplified operations for small UAS under 55 pounds (aka, sUAS). This document provides an overview of UAS applications that may be appropriate for INDOT, as well as a description of the regulations that affect UAS operation as described in 14 CFR Part 107. The potential applications were prioritized using Quality Function Deployment (QFD), a methodology used in the aerospace industry that clearly communicates qualitative and ambiguous information with a transparent framework for decision making. The factors considered included technical feasibility, ease of adoption and stakeholder acceptance, activities underway at INDOT, and contribution to INDOT mission and goals. Dozens of interviews with INDOT personnel and stakeholders were held to get an accurate and varied perspective of potential for UAVs at INDOT. The initial prioritization was completed in early 2019 and identified three key areas: UAS for bridge inspection safety as a part of regular operations, UAS for construction with deliverables provided via construction contracts, and UAS for emergency management. Descriptions of current practices and opportunities for INDOT are provided for each of these applications. An estimate of the benefits and costs is identified, based on findings from other agencies as well as projections for INDOT. A benefit cost analysis for the application of UAS for bridge inspection safety suggests a benefit cost over one for the analysis period.
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