Relevant bibliographies by topics / Design Agent

Academic literature on the topic 'Design Agent'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Design Agent"

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Flathmann, Christopher, Nathan McNeese, and Lorenzo Barberis Canonico. "Using Human-Agent Teams to Purposefully Design Multi-Agent Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 1425–29. http://dx.doi.org/10.1177/1071181319631238.

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With multi-agent teams becoming more of a reality every day, it is important to create a common design model for multi-agent teams. These teams need to be able to function in dynamic environments and still communicate with any humans that may need a problem solved. Existing human-agent research can be used to purposefully create multi-agent teams that are interdependent but can still interact with humans. Rather than creating dynamic agents, the most effective way to overcome the dynamic nature of modern workloads is to create a dynamic team configuration, rather than individual member-agents that can change their roles. Multi-agent teams will require a variety of agents to be designed to cover a diverse subset of problems that need to be solved in the modern workforce. A model based on existing multi-agent teams that satisfies the needs of human-agent teams has been created to serve as a baseline for human-interactive multi-agent teams.
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Lavendelis, Egons, and Janis Grundspenkis. "Design of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 48–59. http://dx.doi.org/10.2478/v10143-009-0004-z.

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Design of Multi-Agent Based Intelligent Tutoring SystemsResearch of two fields, namely agent oriented software engineering and intelligent tutoring systems, have to be taken into consideration, during the design of multi-agent based intelligent tutoring systems (ITS). Thus there is a need for specific approaches for agent based ITS design, which take into consideration main ideas from both fields. In this paper we propose a top down design approach for multi-agent based ITSs. The proposed design approach consists of the two main stages: external design and internal design of agents. During the external design phase the behaviour of agents and interactions among them are designed. The following steps are done: task modelling and task allocation to agents, use case map creation, agent interaction design, ontology creation and holon design. During the external design phase agents and holons are defined according to the holonic multi-agent architecture for ITS development. During the internal design stage the internal structure of agents is specified. The internal structure of each agent is represented in the specific diagram, called internal view of the agent, consisting of agent's actions and interactions among them, rules for incoming message and perception processing, incoming and outgoing messages, and beliefs of the agent. The proposed approach is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The approach is developed using the same concepts as JADE agent platform and is suitable for agent code generation from the design diagrams.
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SAUNDERS, ROB, and JOHN S. GERO. "Curious agents and situated design evaluations." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18, no. 2 (May 2004): 153–61. http://dx.doi.org/10.1017/s0890060404040119.

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This paper presents a possible future direction for agent-based simulation using complex agents that can learn from experience and report their individual evaluations. Adding learning to the agent model permits the simulation of potentially important agent behavior such as curiosity. The agents can then report evaluations of a design that are situated in their individual experience. The paper describes the architecture of curious agents used in the situated evaluation of designs. It then describes an example of the application of such curious agents in the evaluation of the curating of an exhibition in an art gallery.
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Alexander, Perry. "Task Analysis and Design Plans in Formal Specification Design." International Journal of Software Engineering and Knowledge Engineering 08, no. 02 (June 1998): 223–52. http://dx.doi.org/10.1142/s0218194098000133.

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This paper presents BENTON, a prototype system demonstrating task analysis and multi-agent reasoning applied to formal specification synthesis. BENTON transforms specifications written as attribute-value pairs into Larch Modula-3 interface language and Larch Shared Language specifications. BENTON decomposes the software specification design task into synthesis, analysis and evaluation subtasks. Each subtask is assigned a specific design method based on problem and domain characteristics. This task analysis is achieved using blackboard knowledge sources and multi-agent reasoning employing design plans to implement different problem solving methods. Knowledge sources representing different problem solving methodologies monitor blackboard spaces and activate when they are applicable. When executed, Design plans send subtasks to agents that select from available problem solving methodologies. BENTON agents and knowledge sources use case-based reasoning, schemata-based reasoning and procedure execution as their fundamental reasoning methods. This paper presents an overview of the BENTON design model, its agent architecture and plan execution capabilities, and two annotated examples of BENTON problem solving activities.
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GERO, JOHN S., and FRANCES M. T. BRAZIER. "Special Issue: Intelligent agents in design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18, no. 2 (May 2004): 113. http://dx.doi.org/10.1017/s0890060404040089.

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This Special Issue had its genesis in an international Workshop on Agents in Design held in June 2002, at MIT by the Guest Editors. Computational agents have been developed within the artificial intelligence community over an extended period. The concept of an agent can be traced to Carl Hewitt's 1977 work on “actors.” Hewitt defined actors as self-contained, interactive, and concurrently executing objects. Since then, considerable research has gone into developing the concept of an agent and into formalizing agents, developing multiagent systems, and exploring their use. The use of agents in design is more recent, and the first PhDs in the area appeared in the early 1990s. Although a precise and unique definition of an agent has yet to be agreed upon, one distinguishing characteristic of an agent is that it exhibits autonomous behavior. Research on agents in design focuses on two primary areas: how to make agents useful in design, and how to apply them to design tasks. This Special Issue has papers from both areas.
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Zhang, Haolan, Wenhua Zeng, and der van. "A reusable agent design pattern with flexibility and extensibility." Computer Science and Information Systems 8, no. 4 (2011): 1229–50. http://dx.doi.org/10.2298/csis110304048z.

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Intelligent agent-based systems are regarded as the promising technology in bridging the gap between the physical world and cyber-applications. In spite of the rising demands for reusable information systems; current designs are still insufficient in providing efficient reusable mechanisms for system design. One of the major problems hinders the development of information reuse in most traditional systems is the lack of the autonomous character among system modules or subsystems. The emergence of agent technology is able to solve the problem plaguing many traditional systems. Existing agent design models create an agent as a sole system with built-in domain-specific capabilities. However, this design pattern causes several problems while matching and updating agents? capabilities due to the built-in design pattern in these models decreases agents? extensibility, flexibility and reusability. In this paper we introduce a novel design for agent-based systems, which is able to provide an efficient design pattern for improving the reusability, extensibility and flexibility of agent design. The novel agent capability design offers an open and flexible structure; and implements several practical algorithms that can improve the system performance. An experimental program based on several practical cases has been developed to evaluate the performance of the proposed design. The empirical results reveal the efficiency of the new agent design pattern.
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Wayllace, Christabel. "Stochastic Goal Recognition Design." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9904–5. http://dx.doi.org/10.1609/aaai.v33i01.33019904.

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Given an environment and a set of allowed modifications, the task of goal recognition design (GRD) is to select a valid set of modifications that minimizes the maximal number of steps an agent can take before its goal is revealed to an observer. This document presents an extension of GRD to the stochastic domain: the Stochastic Goal Recognition Design (S-GRD). The GRD framework aims to consider: (1) Stochastic agent action outcomes; (2) Partial observability of agent states and actions; and (3) Suboptimal agents. In this abstract we present the progress made towards the final objective as well as a timeline of projected conclusion.
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Oja, M., B. Tamm, and K. Taveter. "AGENT-BASED SOFTWARE DESIGN." Proceedings of the Estonian Academy of Sciences. Engineering 7, no. 1 (2001): 5. http://dx.doi.org/10.3176/eng.2001.1.02.

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CVETKOVIĆ, DRAGAN, and IAN PARMEE. "Agent-based support within an interactive evolutionary design system." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 16, no. 5 (November 2002): 331–42. http://dx.doi.org/10.1017/s0890060402165012.

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This paper describes the use of software agents within an interactive evolutionary conceptual design system. Several different agent classes are introduced (search agents, interface agents, and information agents) and their function within the system is explained. A preference modification agent is developed and an example is given illustrating the use of agents in preference modeling.
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E. Ehimwenma, Kennedy, and Sujatha Krishnamoorthy. "Design and analysis of a multi-agent e-learning system using prometheus design tool." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 1 (March 1, 2021): 9. http://dx.doi.org/10.11591/ijai.v10.i1.pp9-23.

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Agent unified modeling languages (AUML) are agent-oriented approaches that supports the specification, design, visualization and documentation of an agent-based system. This paper presents the use of prometheus AUML approach for the modeling of a Pre-assessment System of five interactive agents. The Pre-assessment System, as previously reported, is a multi-agent-based e-learning system that is developed to support the assessment of prior learning skills in students so as to classify their skills and make recommendation for their learning. This paper discusses the detailed design approach of the system in a step-by-step manner; and domain knowledge abstraction and organization in the system. In addition, the analysis of the data collated and models of prediction for future pre-assessment results are also presented.
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Dissertations / Theses on the topic "Design Agent"

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Juziuk, Joanna. "Design Patterns for Multi-Agent Systems." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-20481.

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Design patterns document a field's systematic knowledge derived from experiences. Despite the vast body of work in the field of multi-agent systems (MAS), design patterns for MAS are not popular among software practitioners. As MAS have features that are widely considered as key to engineering complex distributed applications, for example in manufacturing, robotics, ecommerce, traffic control and coordination, science simulations, it is important to provide a clear overview of existing patterns to make this knowledge accessible. To that end, a systematic literature review was performed covering the main publication venues of the field since 1998, resulting in 206 patterns. The study shows that (1) there is a lack of a standard template for documenting design patterns for MAS, which hampers the use of patterns by practitioners, (2) associations between patterns are poorly described, which results in a lack of overview of the pattern space, (3) patterns for MAS have been used for a variety of application domains, which underpins their high potential for practitioners, and (4) classifications of design patterns for MAS are bounded to specific pattern catalogs, a more holistic view on the pattern space is missing. From the study, a number of guidelines is outlined that are important for future work on design patterns for MAS and their adoption in practice.
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Miles, Simon. "Open systems design using agent interactions." Thesis, University of Warwick, 2004. https://eprints.soton.ac.uk/259457/.

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As software requirements grow increasingly complex, the need to connect to and re-use existing, tested software, grows with it. Open systems, such as the Internet, aid this process by connecting together software services provided by a range of organisations, and the distributed nature of the system allows the services to be regularly updated and improved. Applications can be deployed within the open systems that opportunistically attempt to make use of the best functionality available at any one time. Agent-based systems have been proposed as an ideal way to implement such applications, due to their flexibility and distributed control. However, a balance must be kept between acting opportunistically and ensuring that each application operates to the standards demanded by the application requirements. Determining whether an application will perform to its requirements necessitates justifying the design decisions made in creating it. Our goal is to provide application developers with the means to create justified designs for opportunistic applications. The main contribution of this thesis is a software engineering methodology, agent interaction analysis, based on a set of independently valuable techniques we have developed. The first of these is a novel approach to modelling applications as being instantiated by a set of agent interactions, allowing such applications to be described with minimal restrictions on their implemented structure. Second, we provide a technique, based on design patterns, for comparing mechanisms for instantiating parts of multi-agent system. Finally, we provide an approach to more detailed analysis and comparison of coordination mechanisms.
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Alexiou, Aikaterini. "Understanding multi-agent design as coordination." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1446329/.

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Design decision making increasingly involves the participation of multiple agents which bring into the design process multiple, and often conflicting, needs, knowledge, and goals. To the human agents (experts from the same or different domains, clients, users, stakeholders) one should add artificial agents (computational models and tools more generally) that play an important part in the process. Design research has considered the issue of distributed decision making mainly through the concepts of cooperation and collaboration. The present thesis argues that coordination is a more apposite concept for capturing the social distributed character of design. The concept of coordination places emphasis on issues of interdependency, complexity and distribution and enables us to understand design at a systemic/organisational level, without making assumptions about agents' commitment to a common goal, or their disposition towards cooperation or conflict. Additionally, coordination is used to capture the generative, creative aspects of distributed design decision making. The study explores and establishes the meaning of coordination through experimentation with computational models and simulations. The very process of building these models is a vehicle for exploring key hypotheses and assumptions, and developing a coherent theoretical construction. Overall, the thesis identifies the key dimensions of coordination that are typical to the domain of design, and employs them to develop a framework (a theory) for understanding multi-agent design as a generative social process. The dimensions identified are learning, decentralised control and co-evolution. A model of coordination developed using the paradigm of distributed learning control is used as a way to establish the precise meaning of these dimensions. Based on insights from the experimentation, the concept of coordination is further refined in order to propose an organisational (complexity-informed) perspective of multi-agent design. According to this perspective, the relationship between agents, their goals, and the design variables they manipulate, is at the same time a product of the design process, but also a constraint over individual agents. Coordination is then defined as a dynamic process towards a scheme of organisation that entails the emergence of collective design solutions.
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Hardman, Richard H. III. "Systemic Formation: Multi-Agent Simulations for Architecture." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin155351382588639.

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Poutakidis, David Alexander, and davpout@cs rmit edu au. "Debugging Multi-Agent Systems With Design Documents." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20081205.114106.

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Debugging multi-agent systems, which are concurrent, distributed, and consist of complex components is difficult, yet crucial. The development of these complex systems is supported by agent-oriented software engineering methodologies which utilise agents as the central design metaphor. The systems that are developed are inherently complex since the components of these systems may interact in flexible and sophisticated ways and traditional debugging techniques are not appropriate. Despite this, very little effort has been applied to developing appropriate debugging tools and techniques. Debugging multi-agent systems without good debugging tools is highly impractical and without suitable debugging support developing and maintaining multi-agent systems will be more difficult than it need be. In this thesis we propose that the debugging process can be supported by following an agent-oriented design methodology, and then using the developed design artifacts in the debugging phase. We propose a domain independent debugging framework which comprises the developed processes and components that are necessary in using design artifacts as debugging artifacts. Our approach is to take a non-formal design artifact, such as an AUML protocol design, and encode it in a machine interpretable manner such that the design can be used as a model of correct system behaviour. These models are used by a run-time debugging system to compare observed behaviour against specified behaviour. We provide details for transforming two design artifact types into equivalent debugging artifacts and show how these can be used to detect bugs. During a debugging episode in which a bug has been identified our debugging approach can provide detailed information about the possible reason for the bug occurring. To determine if this information was useful in helping to debug programs we undertook a thorough empirical study and identified that use of the debugging tool translated to an improvement in debugging performance. We conclude that the debugging techniques developed in this thesis provide effective debugging support for multi-agent systems and by having an extensible framework new design artifacts can be explored and as translations are developed they can be added to the debugging system.
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Pawloski, Joel S. "Modeling tactical level combat using a Multi-agent System Design Paradigm (GI Agent)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA391678.

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Thesis (M.S. in Modeling, Virtual Environments and Simulation (MOVES))--Naval Postgraduate School, March 2001.
Thesis advisors, Michael Zyda, John E. Hiles. Includes bibliographical references (p. 81-82). Also available online.
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Stride, Eleanor Phoebe Jane. "Characterisation and design of ultrasound agent particles." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1446818/.

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Ultrasound contrast agents, consisting of gas bubbles coated with a surfactant or polymer shell, offer benefits in a range of diagnostic and therapeutic applications. However, their behaviour both in vitro and in vivo is by no means fully understood and there remains considerable scope for increasing their effectiveness. The aim of the work described in this thesis is to improve the characterisation of existing contrast agents and to determine how future agents might be designed in order to optimise their performance. Previous theoretical and experimental work relating to both contrast agents and free gas bubbles will be reviewed. This will be followed by an assessment of the validity of the assumptions underlying existing models for contrast agents. In particular, examination will be made of: the modelling of the material coating the contrast agent particles (CAPs), the influence of blood cells upon CAP dynamics and multiple scattering of ultrasound in CAP suspensions. The results from a combination of computer simulations and experimental testing will be used to derive a new, generalised model for CAP behaviour. The model will be used to carry out a sensitivity analysis in order to identify the most significant factors controlling CAP behaviour. Based on these findings, a number of new designs will be developed, with the aim of enhancing CAP detectability at low insonation pressures. The designs will be evaluated in terms of their performance, based on the results of experiments using scale models. Finally, an assessment of the areas for future work will be made.
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Li, Xinyang. "Evolutionary mechanism design using agent-based models." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558876.

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This research complements and combines market microstructure theory and mechanism design to optimize the market structure of financial markets systematically. We develop an agent-based model featuring near-zero-intelligence traders operating in a call market with a wide range of trading rules governing the determination of prices, which orders are executed as well as a range of parameters regarding market intervention by market makers and the presence of informed traders. The market structure which generates the best market performance is determined by applying the search technique Population-based Incremental Learning, guided by a number of performance measures, including maximizing trading volume or price, minimizing bid-ask spread or return volatility. We investigate the credibility of our model by observing the trading behavior of near-zero-intelligence traders with stylized facts in real markets. Based on computer simulations, we conform that the model is capable to reproduce some of the most important stylized facts found in financial markets. Thereafter, we investigate the best found market structure using both single-objective optimization and multi-objective optimization techniques. Our results suggest that the best-found combination of trading rules used to enhance trading volume may not be applied to achieve other objectives, such as reducing bid-ask spread. The results of single-objective optimization experiments show that significantly large tick sizes appear in the best market structures in most cases, except for the case of maximizing trading volume. The tick size is always correlated with the selection of multi-price rules. Though there is no particular combination of priority rule and multiprice rule achieving the best market performance, the time priority rule and the closest multi-price rule are the most frequently obtained rules. The level of market transparency and the extend of market maker intervention show ambiguous results as their representative parameter values change in a wide range. We also nd that the results of multi-objective optimization experiments are much similar to those obtained in the single-objective optimization experiments, except for the market transparency represented by the fraction of informed trader, which shows a clear trend in the multi-objective optimization. Using the results obtained from this research we can derive recommendations for exchanges and regulators on establishing the optimal market structure; for securities issuers on choosing the best exchange for their listing; and for investors on choosing the most suitable exchange for trading.
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Chang, Meng. "Agent-orientated auction mechanism and strategy design." Thesis, Aston University, 2013. http://publications.aston.ac.uk/19146/.

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Agent-based technology is playing an increasingly important role in today’s economy. Usually a multi-agent system is needed to model an economic system such as a market system, in which heterogeneous trading agents interact with each other autonomously. Two questions often need to be answered regarding such systems: 1) How to design an interacting mechanism that facilitates efficient resource allocation among usually self-interested trading agents? 2) How to design an effective strategy in some specific market mechanisms for an agent to maximise its economic returns? For automated market systems, auction is the most popular mechanism to solve resource allocation problems among their participants. However, auction comes in hundreds of different formats, in which some are better than others in terms of not only the allocative efficiency but also other properties e.g., whether it generates high revenue for the auctioneer, whether it induces stable behaviour of the bidders. In addition, different strategies result in very different performance under the same auction rules. With this background, we are inevitably intrigued to investigate auction mechanism and strategy designs for agent-based economics. The international Trading Agent Competition (TAC) Ad Auction (AA) competition provides a very useful platform to develop and test agent strategies in Generalised Second Price auction (GSP). AstonTAC, the runner-up of TAC AA 2009, is a successful advertiser agent designed for GSP-based keyword auction. In particular, AstonTAC generates adaptive bid prices according to the Market-based Value Per Click and selects a set of keyword queries with highest expected profit to bid on to maximise its expected profit under the limit of conversion capacity. Through evaluation experiments, we show that AstonTAC performs well and stably not only in the competition but also across a broad range of environments. The TAC CAT tournament provides an environment for investigating the optimal design of mechanisms for double auction markets. AstonCAT-Plus is the post-tournament version of the specialist developed for CAT 2010. In our experiments, AstonCAT-Plus not only outperforms most specialist agents designed by other institutions but also achieves high allocative efficiencies, transaction success rates and average trader profits. Moreover, we reveal some insights of the CAT: 1) successful markets should maintain a stable and high market share of intra-marginal traders; 2) a specialist’s performance is dependent on the distribution of trading strategies. However, typical double auction models assume trading agents have a fixed trading direction of either buy or sell. With this limitation they cannot directly reflect the fact that traders in financial markets (the most popular application of double auction) decide their trading directions dynamically. To address this issue, we introduce the Bi-directional Double Auction (BDA) market which is populated by two-way traders. Experiments are conducted under both dynamic and static settings of the continuous BDA market. We find that the allocative efficiency of a continuous BDA market mainly comes from rational selection of trading directions. Furthermore, we introduce a high-performance Kernel trading strategy in the BDA market which uses kernel probability density estimator built on historical transaction data to decide optimal order prices. Kernel trading strategy outperforms some popular intelligent double auction trading strategies including ZIP, GD and RE in the continuous BDA market by making the highest profit in static games and obtaining the best wealth in dynamic games.
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Waslander, Steven L. "Multi-agent systems design for aerospace applications /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Books on the topic "Design Agent"

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Collins, John, Peyman Faratin, Simon Parsons, Juan A. Rodriguez-Aguilar, Norman M. Sadeh, Onn Shehory, and Elizabeth Sklar, eds. Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88713-3.

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Ketter, Wolfgang, Han La Poutré, Norman Sadeh, Onn Shehory, and William Walsh, eds. Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15237-5.

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Ichalkaranje, Nikhil, Lakhmi C. Jain, and Rajiv Khosla. Design of Intelligent Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-44516-6.

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Cossentino, Massimo, Vincent Hilaire, Ambra Molesini, and Valeria Seidita, eds. Handbook on Agent-Oriented Design Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39975-6.

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Hall, L. E. User interface design for multi-agent systems. Manchester: UMIST, 1993.

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Weyns, Danny. Architecture-Based Design of Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-01064-4.

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Len, Bass, ed. Architecture-based design of multi-agent systems. Heidelberg: Springer, 2010.

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Taratoukhine, Victor. A multi-agent approach for design consistency checking. Leicester: De Montfort University, 2002.

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Shing, Edmund. MEDEA: Exploring the design of a situated adaptive agent. Birmingham: University of Birmingham, 1996.

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1965-, Lin Hong, ed. Architectural design of multi-agent systems: Technologies and techniques. Hershey PA: Idea Group Reference, 2007.

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Book chapters on the topic "Design Agent"

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Barber, K. S., T. H. Liu, and D. C. Han. "Agent-Oriented Design." In Multi-Agent System Engineering, 28–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48437-x_3.

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Janca, P. C., and D. Gilbert. "Practical Design of Intelligent Agent Systems." In Agent Technology, 73–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03678-5_4.

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Bryson, Joanna, and Brendan McGonigle. "Agent architecture as object oriented design." In Intelligent Agents IV Agent Theories, Architectures, and Languages, 15–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0026747.

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Wagner, Thomas, and Victor Lesser. "Design-to-Criteria Scheduling: Real-Time Agent Control." In Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems, 128–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47772-1_12.

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Wang, Jian Xun, and Ming Xi Tang. "A Multi-agent Framework for Collaborative Product Design." In Agent Computing and Multi-Agent Systems, 514–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_52.

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Kim, Jong-Hun, Chang-Woo Song, Kee-Wook Lim, and Jung-Hyun Lee. "Design of Music Recommendation System Using Context Information." In Agent Computing and Multi-Agent Systems, 708–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_83.

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Park, Gi-Duck, Robert McCartney, and Jung-Jin Yang. "The Design of a Self-locating Automatic-Driving Robot." In Intelligent Agents and Multi-Agent Systems, 323–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6_36.

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Lee, Jimmy H. M., and Lei Zhao. "A Real-Time Agent Architecture: Design, Implementation and Evaluation." In Intelligent Agents and Multi-Agent Systems, 18–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45680-5_2.

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Yolum, Pýnar. "Towards Design Tools for Protocol Development." In Agent Communication II, 196–210. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-68143-4_14.

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Kim, Il Kwang, Jae Young Lee, and Il Kon Kim. "Design of Agent Registry/Repository System Based on ebXML." In Agent Computing and Multi-Agent Systems, 362–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802372_35.

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Conference papers on the topic "Design Agent"

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Jha, Krishna N., Andrea Morris, Ed Mytych, and Judith Spering. "Agent Support for Collaborative Design." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/cie-5551.

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Abstract Extensive collaboration among multiple distributed design groups is required to design aircraft parts. Achieving such a collaboration manually is time-consuming, expensive, and inefficient; but the cost of ignoring or minimizing it is much higher in terms of delayed and/or inferior quality products. We describe a multi-agent-based approach to support the desired collaboration among the design groups during the preliminary design (PD) process. A variety of agents including interface agents and control agents are used to model the various collaboration functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to produce optimized and feasible designs.
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Jha, Krishna N., Gary Coen, Andrea Morris, Ed Mytych, and Judith Spering. "Agent Support for Design Manufacturability." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dfm-5723.

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Abstract Designing manufacturable aircraft parts requires satisfying extensive manufacturability constraints early in the design phase, and to quickly propagate the design decisions to the multiple distributed design groups. We have built a multi-agent-based system to provide the desired manufacturability-constraints checking early in the design-process, coordination among the design and analysis groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and analysis functionalities. The agent-representation includes a formal representation of the task-structures. One of the agents generates a prototype process plan for the design, and checks the process plan against a repository of processing standards for the manufacturability of the design. A web-based user-interface provides high-level interface to the users. The agents collaborate to produce manufacturable designs.
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Wang, Shilong, Jian Yi, Xia Hong, and Z. Zhang. "Heterogeneous Autonomous Agent Architecture for Agile Manufacturing." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/cie-34397.

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Considering the agent-based modeling and mapping in manufacturing system, some system models are described in this paper, which are included: Domain Based Hierarchical Structure (DBHS), Cascading Agent Structure (CAS), Proximity Relation structure (PRS), and Bus-based network structure (BNS). In DBHS, one sort of agents, called static agents, individually acts as Domain Agents, Resources Agents, UserInterface Agents and Gateway Agents. And the others, named mobile agents, are the brokers of task and process flow. Static agents representing a subsystem may itself be an agent-based network and should learn as the mobile agents to deal with new situation. Mobile agents move around the network domains taking advantage of the resources to fulfill their goals. In CAS, We use Unified Modeling Language (UML) to build up the agent-based manufacturing system It is said Enterprise agent (main agent) has factory agents together with some directly jurisdictional workshop agents, cell agents, and individual resource agents. Likewise, factory agent has workshop agents together with some directly jurisdictional cell agents and individual resource agents, and so on. In PRS, the resources agents are located together by its function and abilities. There is only one agent behaves as the task-announcer. The communication just occurs among the Proximity Relational agents. In BNS, It is very similar with the society of human being connected with a network, some agents, such as ‘cost calculating’, are just cope with the matter-of-fact job. And some agents run as the individual resources that can negotiate with each other and advertise a necessary message within the whole domain or a given group of agents. The administration just relies on the individual address of agents and the group ID code of agents.
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Obrst, Leo, Michael Woytowitz, Denny Rock, Susan Lander, Kevin Gallagher, and Keith Decker. "Agent-Based Integrated Product Teams." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/eim-4500.

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Abstract We propose an agent-based architecture for providing partially automated support to large, concurrent engineering environments that have adopted Integrated Product Team (IPT) practices. We describe classes of agents, show various views from the individual users to the network with a hierarchy for control and coordination, and sketch our strategies for incremental implementation. We have built a Task Structure Specification Tool to delineate and manage the IPT tasks, using blackboard data structures and World-Wide Web compatibility. We review related agent-based engineering efforts, which generally are not sufficient for IPT integration. We suggest that implementing computational IPTs remains a large challenge awaiting agent technologies.
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Jha, Krishna N., Andrea Morris, Ed Mytych, and Judith Spering. "Agent Support for Design of Aircraft Parts." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dac-5607.

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Abstract Designing aircraft parts requires extensive coordination among multiple distributed design groups. Achieving such a coordination is time-consuming and expensive, but the cost of ignoring or minimizing it is much higher in terms of delayed and inferior quality products. We have built a multi-agent-based system to provide the desired coordination among the design groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and control functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to achieve the design goals.
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Sreeram, R. T., and P. K. Chawdhry. "A Single Function Agent Framework for Task Decomposition and Conflict Negotiation." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dfm-5748.

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Abstract Researchers in agent-based concurrent engineering have identified a variety of techniques for product development with the use of multi-agents. Significant but less common are the techniques based on more task-specific single function agents. This paper proposes a single function agent framework for task-solving in a product development environment. This framework is based on Habermas’s theory of communicative action which is particularly suited for collaborative work. The inter-agent communication is based on Knowledge Query Manipulation Language (KQML). The task decomposition of the design process is based on the cluster identification algorithm. The conflicts which arise during the design process are resolved by using very specialized single function agents that detect conflicts based on violation of the design constraints. The case study on the design of a mechanical shaft demonstrates the appropriateness of the proposed framework.
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"Agents and multi-agent systems." In 8th International Conference on Computer Supported Cooperative Work in Design. IEEE, 2004. http://dx.doi.org/10.1109/cacwd.2004.1349032.

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Welch, Lawrence, and Stephen Ekwaro-Osire. "Fairness in Agent Based Simulation Frameworks." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49326.

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An agent based simulation engine should provide a fair playing field for all of its agents. A fundamental design axiom of agent based simulation frameworks is that the simulation engine should not arbitrarily bias its execution towards one agent or another. This fairness is basic to giving the agent modeler confidence that differences in behavior and performance between agents derive legitimately from the simulation modeling, initial conditions or specific agent characteristics, rather than the capriciousness of the underlying framework. One aspect of fairness in a simulation is the relative order of execution of agents over time. This order of execution is affected by techniques employed by frameworks to simulate the concurrent activities of multiple agents. One such technique is multi-threading. Multi-threaded operating systems, or programming languages and environments, such as Java, allow multiple agents, represented by software threads, to share the computer’s execution time by taking turns, thus appearing to act simultaneously. The precise order of execution of peer threads in multi-threaded applications is often out of the hands of the programmer, and may be determined exclusively by the operating system or program execution environment. However, if overlooked by the framework developer, the idiosyncrasies of a particular thread ordering mechanism can pass on to the modeler inherent random behavior that is neither intuitive, nor in line with the modeler’s expectations. To be considered fair, the engine should aim to provide all agents with equal probability of executing first within a time step, or last, or in any position in between. This paper analyzes the sequencing of agent thread execution within a Java framework that implements a multi-threaded, time-stepping, agent based simulation engine. The natural ordering of Java thread execution is demonstrated to be unfair (that is, not uniform) in its treatment of agents. This research shows that the standard mechanism of Java thread scheduling, while appropriate for most applications, is inappropriate on its own for the agent based framework. It is demonstrated that with Java’s standard thread scheduling algorithm, over time certain agents tend to execute ahead of others within each time step, while others tend to execute in the middle or at the back of the pack. This paper then introduces and demonstrates the “Uniform Specific Notification” pattern, a technique that produces a fairer, uniformly distributed random order for the initial execution of Java agent threads at each simulation time step.
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Wu, Yuechen, Wei Zhang, and Ke Song. "Master-Slave Curriculum Design for Reinforcement Learning." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/211.

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Curriculum learning is often introduced as a leverage to improve the agent training for complex tasks, where the goal is to generate a sequence of easier subasks for an agent to train on, such that final performance or learning speed is improved. However, conventional curriculum is mainly designed for one agent with fixed action space and sequential simple-to-hard training manner. Instead, we present a novel curriculum learning strategy by introducing the concept of master-slave agents and enabling flexible action setting for agent training. Multiple agents, referred as master agent for the target task and slave agents for the subtasks, are trained concurrently within different action spaces by sharing a perception network with an asynchronous strategy. Extensive evaluation on the VizDoom platform demonstrates the joint learning of master agent and slave agents mutually benefit each other. Significant improvement is obtained over A3C in terms of learning speed and performance.
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Liu, Xinhua, Weida Wang, Wenjian Liu, and Yue Xing. "Development of a Technique Preparation Integration System With Agent Technology." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34142.

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This study intends to propose an intelligent system with agent technology in order to realize integration and cooperation of technique preparation process. The agent-based system framework, in which various intelligent agents worked together to perform technique preparation tasks in an autonomous and collaborative way, is put forward. The system consists of three categories of agents and functional definition of each intelligent agent is presented. Moreover, agents communication mechanism and cooperation sequence diagram are proposed. Finally, an intelligent algorithm based on fuzzy comprehensive evaluation is designed to resolve competition conflicts among the agents.
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Reports on the topic "Design Agent"

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Hartrum, Thomas C., and Scott A. DeLoach. Design Issues for Mixed-Initiative Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada448192.

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Amduka, Mohammed, Jon Russo, Krishna Jha, Andre DeHon, Richard Lethin, Jonathan Springer, Rajit Manohar, Rami Melhem, Bob Wray, and Christian Lebiere. The Design of a Polymorphous Cognitive Agent Architecture (PCAA). Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada481982.

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Raphael, Marc J. Knowledge Base Support for Design and Synthesis of Multi-Agent Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2000. http://dx.doi.org/10.21236/ada380744.

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Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, August 2013. http://dx.doi.org/10.32747/2013.7593398.bard.

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The general objective of this study was to develop rationally designed mimetic antagonists (and agonists) of the PK/PBAN Np class with enhanced bio-stability and bioavailability as prototypes for effective and environmentally friendly pest insect management agents. The PK/PBAN family is a multifunctional group of Nps that mediates key functions in insects (sex pheromone biosynthesis, cuticular melanization, myotropic activity, diapause and pupal development) and is, therefore, of high scientific and applied interest. The objectives of the current study were: (i) to identify an antagonist biophores (ii) to develop an arsenal of amphiphilic topically active PK/PBAN antagonists with an array of different time-release profiles based on the previously developed prototype analog; (iii) to develop rationally designed non-peptide SMLs based on the antagonist biophore determined in (i) and evaluate them in cloned receptor microplate binding assays and by pheromonotropic, melanotropic and pupariation in vivo assays. (iv) to clone PK/PBAN receptors (PK/PBAN-Rs) for further understanding of receptor-ligand interactions; (v) to develop microplate binding assays for screening the above SMLs. In the course of the granting period A series of amphiphilic PK/PBAN analogs based on a linear lead antagonist from the previous BARD grant was synthesized that incorporated a diverse array of hydrophobic groups (HR-Suc-A[dF]PRLa). Others were synthesized via the attachment of polyethylene glycol (PEG) polymers. A hydrophobic, biostablePK/PBAN/DH analog DH-2Abf-K prevented the onset of the protective state of diapause in H. zea pupae [EC50=7 pmol/larva] following injection into the preceding larval stage. It effectively induces the crop pest to commit a form of ‘ecological suicide’. Evaluation of a set of amphiphilic PK analogs with a diverse array of hydrophobic groups of the formula HR-Suc-FTPRLa led to the identification of analog T-63 (HR=Decyl) that increased the extent of diapause termination by a factor of 70% when applied topically to newly emerged pupae. Another biostablePK analog PK-Oic-1 featured anti-feedant and aphicidal properties that matched the potency of some commercial aphicides. Native PK showed no significant activity. The aphicidal effects were blocked by a new PEGylated PK antagonist analog PK-dF-PEG4, suggesting that the activity is mediated by a PK/PBAN receptor and therefore indicative of a novel and selective mode-of-action. Using a novel transPro mimetic motif (dihydroimidazole; ‘Jones’) developed in previous BARD-sponsored work, the first antagonist for the diapause hormone (DH), DH-Jo, was developed and shown to block over 50% of H. zea pupal diapause termination activity of native DH. This novel antagonist development strategy may be applicable to other invertebrate and vertebrate hormones that feature a transPro in the active core. The research identifies a critical component of the antagonist biophore for this PK/PBAN receptor subtype, i.e. a trans-oriented Pro. Additional work led to the molecular cloning and functional characterization of the DH receptor from H. zea, allowing for the discovery of three other DH antagonist analogs: Drosophila ETH, a β-AA analog, and a dF analog. The receptor experiments identified an agonist (DH-2Abf-dA) with a maximal response greater than native DH. ‘Deconvolution’ of a rationally-designed nonpeptide heterocyclic combinatorial library with a cyclic bis-guanidino (BG) scaffold led to discovery of several members that elicited activity in a pupariation acceleration assay, and one that also showed activity in an H. zea diapause termination assay, eliciting a maximal response of 90%. Molecular cloning and functional characterization of a CAP2b antidiuretic receptor from the kissing bug (R. prolixus) as well as the first CAP2b and PK receptors from a tick was also achieved. Notably, the PK/PBAN-like receptor from the cattle fever tick is unique among known PK/PBAN and CAP2b receptors in that it can interact with both ligand types, providing further evidence for an evolutionary relationship between these two NP families. In the course of the granting period we also managed to clone the PK/PBAN-R of H. peltigera, to express it and the S. littoralis-R Sf-9 cells and to evaluate their interaction with a variety of PK/PBAN ligands. In addition, three functional microplate assays in a HTS format have been developed: a cell-membrane competitive ligand binding assay; a Ca flux assay and a whole cell cAMP ELISA. The Ca flux assay has been used for receptor characterization due to its extremely high sensitivity. Computer homology studies were carried out to predict both receptor’s SAR and based on this analysis 8 mutants have been generated. The bioavailability of small linear antagonistic peptides has been evaluated and was found to be highly effective as sex pheromone biosynthesis inhibitors. The activity of 11 new amphiphilic analogs has also been evaluated. Unfortunately, due to a problem with the Heliothis moth colony we were unable to select those with pheromonotropic antagonistic activity and further check their bioavailability. Six peptides exhibited some melanotropic antagonistic activity but due to the low inhibitory effect the peptides were not further tested for bioavailability in S. littoralis larvae. Despite the fact that no new antagonistic peptides were discovered in the course of this granting period the results contribute to a better understanding of the interaction of the PK/PBAN family of Nps with their receptors, provided several HT assays for screening of libraries of various origin for presence of PK/PBAN-Ragonists and antagonists and provided important practical information for the further design of new, peptide-based insecticide prototypes aimed at the disruption of key neuroendocrine physiological functions in pest insects.
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Garagic, Denis. Fast Interactive Integrated Modeling and Strategy Design (FASTIMS) - The Dynamic Pathways Agent-Based Model. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada485336.

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NEWPORT NEWS SHIPBUILDING VA. The Definition of a Shipyard's Engineering Requirements to be Met by a Design Agent. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada456114.

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Cagan, Jonathan. An Agent-Based Approach to Optimal Configuration Design with Application to Manufacturing Process Planning. Fort Belvoir, VA: Defense Technical Information Center, December 2003. http://dx.doi.org/10.21236/ada419532.

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Pollack, Martha E. Development of a Formal Theory of Agent-Based Computing for System Evaluation and System-Design Guidance. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada424483.

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Barber, K. S. Multi-Scale Behavioral Modeling and Analysis Promoting a Fundamental Understanding of Agent-Based System Design and Operation. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada465613.

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James, Natasha A. Using agent-based models to examine implications of introducing conservation auctions in Costa Rica: overview, design concepts, and details (ODD) protocol for a conservation auction agent-based model (CA-ABM). Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2019. http://dx.doi.org/10.2737/srs-gtr-245.

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