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Relevant bibliographies by topics / Agent-based information systems

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Academic literature on the topic 'Agent-based information systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Agent-based information systems"

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Das, Subrata. "Agent-based information fusion." Information Fusion 11, no. 3 (July 2010): 216–19. http://dx.doi.org/10.1016/j.inffus.2010.01.008.

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Ehrler, Lars, Martin Fleurke, Maryam Purvis, and Bastin Tony Roy Savarimuthu. "Agent-based workflow management systems (WfMSs)." Information Systems and e-Business Management 4, no. 1 (November 8, 2005): 5–23. http://dx.doi.org/10.1007/s10257-005-0010-9.

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Abdalla, Reem, and Alok Mishra. "Using Agent-Based Methodologies in Healthcare Information Systems." Cybernetics and Information Technologies 18, no. 2 (June 1, 2018): 123–32. http://dx.doi.org/10.2478/cait-2018-0033.

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Abstract This paper carries out a comparative analysis to determine the advantages and the stages of two agent-based methodologies: Multi-agent Systems Engineering (MaSE) methodology, which is designed specifically for an agent-based and complete lifecycle approach, while also being appropriate for understanding and developing complex open systems; Agent Systems Methodology (ASEME) suggests a modular Multi-Agent System (MAS) development approach and uses the concept of intra-agent control. We also examine the strengths and weaknesses of these methodologies and the dependencies between their models and their processes. Both methodologies are applied to develop The Guardian Angle: Patient-Centered Health Information System (GA: PCHIS), which is an example of agent-based applications used to improve health care information systems.

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Zarour, Nacer eddine, and Sabrina Bouzidi. "Coalition Formation for Cooperative Information Agent-Based Systems." International Journal of Computers Communications & Control 1, no. 3 (July 1, 2006): 85. http://dx.doi.org/10.15837/ijccc.2006.3.2297.

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The communication technology evolution led to an increase of the carried out services’ and tasks’ number. The aim of actual research in the cooperation and particularly the negotiation between agents is to reach a coherent global state of the multiagent system by favoring agents’ synergy. In this paper, we propose a coalition formation-based negotiation model for the task allocation in the cooperative information agent-based systems. In this model, the agent that activates a negotiation seeks partners for achieving a complex task. The way that the partners take part in a coalition is done one by one according to the choice of all the coalition members. This choice is based on a multicriterion analysis. Some obtained experimental results show the suggested model performances.

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Tomás, V. R., I. Martí, J. J. Martínez, and A. Sáez. "Agent-based test-bed for road information systems." IET Intelligent Transport Systems 6, no. 4 (December 1, 2012): 404–12. http://dx.doi.org/10.1049/iet-its.2011.0128.

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Tang, Chao, Li Da Xu, and Shan Feng. "An agent-based geographical information system." Knowledge-Based Systems 14, no. 5-6 (August 2001): 233–42. http://dx.doi.org/10.1016/s0950-7051(01)00101-0.

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Hou, Jian, Mengfan Xiang, and Zuohua Ding. "Group Information Based Nonlinear Consensus for Multi-Agent Systems." IEEE Access 7 (2019): 26551–57. http://dx.doi.org/10.1109/access.2019.2897600.

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Rey, E. Mosqueira, A. Alonso Betanzos, B. Guijarro Berdinas, D. Alonso Rios, and J. Lago Pineiro. "A Snort-based agent for a JADE multi-agent intrusion detection system." International Journal of Intelligent Information and Database Systems 3, no. 1 (2009): 107. http://dx.doi.org/10.1504/ijiids.2009.023041.

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Allen, Peter M., and Liz Varga. "A co–Evolutionary Complex Systems Perspective on Information Systems." Journal of Information Technology 21, no. 4 (December 2006): 229–38. http://dx.doi.org/10.1057/palgrave.jit.2000075.

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The co-evolution of information systems (IS) and the processes that underpin the construction and development of IT systems are explained from a complex systems perspective. Evolution operates at the microscopic level; in organizations, this is the individual or agent. Each agent has an idiosyncratic view of the organization, using to some extent personal constructs in dealing with the reality of organizational life. These objects or constructs can be described and measured by most agents; they are well defined. Many of these objects are represented in electronic, IT systems. Each agent also has their own view as to how they know what they know, that is, their epistemology, which we argue is their IS, and is wider than the IT systems they use. The IS of each agent co-evolves, by interaction with other agents, based on the agent's view of reality. The interaction of all agents constitutes the organization. Even more importantly, different values and interests motivate each agent. This is their axiology and it is what motivates them to learn and to develop their IS. An agent-based axiological framework is essential to understanding the evolution of organizations. It is the interaction of agents that builds consensus as to the shared reality of the organization, and this affects each agent's ability and motivation to evolve IS further. In addition, we propose that it is time that IT systems included modelling capabilities, based on multi-agent representations of the organization and its context, to explore and support strategic thinking and decision making.

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Niazi, Muaz, and Amir Hussain. "Agent-based computing from multi-agent systems to agent-based models: a visual survey." Scientometrics 89, no. 2 (August 5, 2011): 479–99. http://dx.doi.org/10.1007/s11192-011-0468-9.

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Dissertations / Theses on the topic "Agent-based information systems"

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Yu, Hui. "Keyphrase-based information sharing in multi-agent systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0025/MQ62166.pdf.

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Maleki-Dizaji, Saeedeh. "Evolutionary learning multi-agent based information retrieval systems." Thesis, Sheffield Hallam University, 2003. http://shura.shu.ac.uk/6856/.

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The volume and variety of information available on the Internet has experienced exponential growth, presenting a difficulty to users wishing to obtain information that accurately matches their interests. A number of factors affect the accuracy of matching user interests and the retrieved documents. First, is the fact that users often do not present queries to information retrieval systems in the form that optimally represents the information they want. Secondly, the measure of a document's relevance is highly subjective and variable between different users. This thesis addresses this problem with an adaptive approach that relies on evolutionary user-modelling. The proposed information retrieval system learns user needs from user-provided relevance feedback. The method combines a qualitative feedback measure obtained using fuzzy inference, and quantitative feedback based on evolutionary algorithms (Genetic Algorithms) fitness measures. Furthermore, the retrieval system's design approach is based on a multi-agent design approach, in order to handle the complexities of the information retrieval system including: document indexing, relevance feedback, user modelling, filtering and ranking the retrieve documents. The major contribution of this research are the combination of genetic algorithms and fuzzy relevance feedback for modelling adaptive behaviour, which is compared against conventional relevance feedback. Novel Genetic Algorithms operators are proposed within the context of textual; the encoding and vector space model for document representation is generalised within the same context.

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Chen, Hong. "Modeling information quality in agent-based e-commerce systems." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28167.

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In agent-based e-commerce systems, most buying agents rely primarily on ranking algorithms to make purchase decisions. These algorithms are based on one or a combination of several features of goods information, such as price, seller's reputation, etc.; however, information quality is usually ignored. This leads to the problem that product information is retrieved without proper regard to their quality. Realizing the importance and necessity of information quality for buying agents, this thesis introduces an Information Quality (IQ)-based ranking approach. A model which combines information quality assessment with user expectation is proposed. An approach on representation and interpretation of information quality is also developed. Two sets of experiments are conducted to verify the applicability of the proposed model and explore the effectiveness of individual information quality dimensions. The experimental results show that information quality based ranking does lead to better user satisfaction. Keywords: Information quality, agent system, e-commerce

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Al-Qasem, Mohammad. "An agent-based approach to handle interoperability in legacy information systems." Thesis, Keele University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287966.

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Li, Yuefeng, and mikewood@deakin edu au. "Modelling intelligent agents for web-based information gathering." Deakin University. School of Computing and Mathematics, 2000. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051201.151125.

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The recent emergence of intelligent agent technology and advances in information gathering have been the important steps forward in efficiently managing and using the vast amount of information now available on the Web to make informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by end users. Good decisions cannot be made without sufficient, timely, and correct information. Traditionally it is said that knowledge is power, however, nowadays sufficient, timely, and correct information is power. So gathering relevant information to meet user information needs is the crucial step for making good decisions. The ideal goal of information gathering is to obtain only the information that users need (no more and no less). However, the volume of information available, diversity formats of information, uncertainties of information, and distributed locations of information (e.g. World Wide Web) hinder the process of gathering the right information to meet the user needs. Specifically, two fundamental issues in regard to efficiency of information gathering are mismatch and overload. The mismatch means some information that meets user needs has not been gathered (or missed out), whereas, the overload means some gathered information is not what users need. Traditional information retrieval has been developed well in the past twenty years. The introduction of the Web has changed people's perceptions of information retrieval. Usually, the task of information retrieval is considered to have the function of leading the user to those documents that are relevant to his/her information needs. The similar function in information retrieval is to filter out the irrelevant documents (or called information filtering). Research into traditional information retrieval has provided many retrieval models and techniques to represent documents and queries. Nowadays, information is becoming highly distributed, and increasingly difficult to gather. On the other hand, people have found a lot of uncertainties that are contained in the user information needs. These motivate the need for research in agent-based information gathering. Agent-based information systems arise at this moment. In these kinds of systems, intelligent agents will get commitments from their users and act on the users behalf to gather the required information. They can easily retrieve the relevant information from highly distributed uncertain environments because of their merits of intelligent, autonomy and distribution. The current research for agent-based information gathering systems is divided into single agent gathering systems, and multi-agent gathering systems. In both research areas, there are still open problems to be solved so that agent-based information gathering systems can retrieve the uncertain information more effectively from the highly distributed environments. The aim of this thesis is to research the theoretical framework for intelligent agents to gather information from the Web. This research integrates the areas of information retrieval and intelligent agents. The specific research areas in this thesis are the development of an information filtering model for single agent systems, and the development of a dynamic belief model for information fusion for multi-agent systems. The research results are also supported by the construction of real information gathering agents (e.g., Job Agent) for the Internet to help users to gather useful information stored in Web sites. In such a framework, information gathering agents have abilities to describe (or learn) the user information needs, and act like users to retrieve, filter, and/or fuse the information. A rough set based information filtering model is developed to address the problem of overload. The new approach allows users to describe their information needs on user concept spaces rather than on document spaces, and it views a user information need as a rough set over the document space. The rough set decision theory is used to classify new documents into three regions: positive region, boundary region, and negative region. Two experiments are presented to verify this model, and it shows that the rough set based model provides an efficient approach to the overload problem. In this research, a dynamic belief model for information fusion in multi-agent environments is also developed. This model has a polynomial time complexity, and it has been proven that the fusion results are belief (mass) functions. By using this model, a collection fusion algorithm for information gathering agents is presented. The difficult problem for this research is the case where collections may be used by more than one agent. This algorithm, however, uses the technique of cooperation between agents, and provides a solution for this difficult problem in distributed information retrieval systems. This thesis presents the solutions to the theoretical problems in agent-based information gathering systems, including information filtering models, agent belief modeling, and collection fusions. It also presents solutions to some of the technical problems in agent-based information systems, such as document classification, the architecture for agent-based information gathering systems, and the decision in multiple agent environments. Such kinds of information gathering agents will gather relevant information from highly distributed uncertain environments.

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Li, Xin. "An Agent-based Coordination Strategy for Information Propagation in Connected Vehicle Systems." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4467.

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Context. Connected vehicles use sensors such as cameras or radars to collect data about surrounding environments automatically and share these data with each other or with road side infrastructure using short-range wireless communication. Due to the large amount of information generated, strategies are required to minimize information redundancy when important information is propagated among connected vehicles. Objectives. This research aims to develop an information propagation strategy in connected vehicle systems using software agent-based coordination strategies to reduce unnecessary message broadcast and message propagation delay. Methods. A review of related work is used to acquire a deep insight as well as knowledge of the state-of-the-art and the state-of-practice from relevant studies in the subject area. Based on the review of related work, we propose an agent-based coordination strategy for information propagation in connected vehicle systems, in which connected vehicles coordinate their message broadcast activities using auctions. After that, a simulation experiment is conducted to evaluate the proposed strategy by comparing it with existing representative strategies. Results. Results of simulation experiments and statistical tests show that the proposed agent-based coordination strategy manifest some improvements in reducing unnecessary message broadcast and message propagation delay compared to other strategies involved in the simulation experiments. Conclusions. In this research, we suggest a new strategy to manage the propagation of information in connected vehicle systems. According to the small scale simulation analysis, the use of auctions to select message transmitters enables our proposed strategy to achieve some improvements in reducing unnecessary message broadcast and propagation delay than existing strategies. Thus, with the help of our proposed strategy, unnecessary message broadcast can be minimized and the communication resources of connected vehicle systems can be utilized effectively. Also, important safety messages can be propagated to drivers faster, negative traffic events could be averted.
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Zhu, Xiaozhou. "Agent Based Modeling for Supply Chain Management: Examining the Impact of Information Sharing." [Kent, Ohio] : Kent State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1226538465.

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Thesis (Ph.D.)--Kent State University, 2008.
Title from PDF t.p. (viewed April 16, 2010). Advisor: Marvin Troutt. Keywords: ABM; agent; repast; information sharing. Includes bibliographical references (p. 161-179).

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Prawesh, Shankar. "Applications of Agent Based Approaches in Business: A Three Essay Dissertation." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4748.

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The goal of this dissertation is to investigate the enabling role that agent based simulation plays in business and policy. The aforementioned issue has been addressed in this dissertation through three distinct, but related essays. The first essay is a literature review of different research applications of agent based simulation in various business disciplines, such as finance, economics, information systems, management, marketing and accounting. Various agent based simulation tools to develop computational models are discussed. The second essay uses an agent-based simulation approach to study important properties of the widely used most popular news recommender systems (NRS). This essay highlights the major limitations of most popular NRS in terms of: (i) susceptibility towards manipulation and (ii) unduly penalizing the article which may have "just" missed making the cutoff in most popular list. A probabilistic variant of recommendation has been introduced as an alternative to most popular list. Classical results from urn models are used to derive theoretical results for special cases, and to study specific properties of the probabilistic recommender. In addition to simulations, various statistical methodologies are used, such as regression based methodologies as part of a broader decision analysis tool. The third essay views firms as agents in building regression based empirical models to investigate the impact of outsourcing on firms. Using an economy wide panel data of outsourcing expenses of firms, the third essay first investigates the value addition by the IT backgrounds of project owners in managing IT related projects. Then it investigates the impact of peer-pressure on a firm's outsourcing behavior.

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Eugénio, António Luís Beja. "The information systems and technology innovation process: a study using an agent-based approach." Master's thesis, Instituto Superior de Economia e Gestão, 2007. http://hdl.handle.net/10400.5/636.

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Mestrado em Gestão de Sistemas de Informação
Um modelo abstracto baseado em agentes é utilizado para estudar a inovação em Sistemas de Informação e em Tecnologia de Informação, no plano organizacional, utilizando uma aproximação sócio-cognitiva. A conclusão do estudo indica que o poder dos profissionais conhecedores de tecnologias de informação na decisão de adopção de uma determinada inovação varia com o nível de concordância de ideias entre eles e os decisores, ao mesmo tempo que depende da taxa de depreciação das transacções, conduzindo a uma forte flutuação de poder quando o ambiente é instável.
An abstract Agent Based Model is used to study Information Systems and Information Technology innovation on an organizational realm, using a socio-cognitive approach. Conclusion is drawn that the power of the knowledge workers in the decision to adopt an IS/IT innovation within an organization varies with the matching level of ideas between them and the top management, while being dependant of the transactions’ depreciation rate, leading to a strong fluctuation of power when the environment is unstable.

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Bijani, Shahriar. "Securing open multi-agent systems governed by electronic institutions." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8268.

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One way to build large-scale autonomous systems is to develop an open multi-agent system using peer-to-peer architectures in which agents are not pre-engineered to work together and in which agents themselves determine the social norms that govern collective behaviour. The social norms and the agent interaction models can be described by Electronic Institutions such as those expressed in the Lightweight Coordination Calculus (LCC), a compact executable specification language based on logic programming and pi-calculus. Open multi-agent systems have experienced growing popularity in the multi-agent community and are expected to have many applications in the near future as large scale distributed systems become more widespread, e.g. in emergency response, electronic commerce and cloud computing. A major practical limitation to such systems is security, because the very openness of such systems opens the doors to adversaries for exploit existing vulnerabilities. This thesis addresses the security of open multi-agent systems governed by electronic institutions. First, the main forms of attack on open multi-agent systems are introduced and classified in the proposed attack taxonomy. Then, various security techniques from the literature are surveyed and analysed. These techniques are categorised as either prevention or detection approaches. Appropriate countermeasures to each class of attack are also suggested. A fundamental limitation of conventional security mechanisms (e.g. access control and encryption) is the inability to prevent information from being propagated. Focusing on information leakage in choreography systems using LCC, we then suggest two frameworks to detect insecure information flows: conceptual modeling of interaction models and language-based information flow analysis. A novel security-typed LCC language is proposed to address the latter approach. Both static (design-time) and dynamic (run-time) security type checking are employed to guarantee no information leakage can occur in annotated LCC interaction models. The proposed security type system is then formally evaluated by proving its properties. A limitation of both conceptual modeling and language-based frameworks is difficulty of formalising realistic policies using annotations. Finally, the proposed security-typed LCC is applied to a cloud computing configuration case study, in which virtual machine migration is managed. The secrecy of LCC interaction models for virtual machine management is analysed and information leaks are discussed.

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Books on the topic "Agent-based information systems"

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Klusch, Matthias. Intelligent Information Agents: Agent-Based Information Discovery and Management on the Internet. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.

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North, Michael J. Managing business complexity: Discovering strategic solutions with agent-based modeling and simulation. New York: Oxford University Press, 2006.

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Luis, Antunes, Norling Emma, Paolucci Mario, Siekmann Jörg H, and SpringerLink (Online service), eds. Multi-Agent-Based Simulation VIII: International Workshop, MABS 2007, Honolulu, HI, USA, May 15, 2007, Revised and Invited Papers. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Müller, J. P. (Jörg P.), 1965-, Levy Renato, and SpringerLink (Online service), eds. Agent-Based Technologies and Applications for Enterprise Interoperability: International Workshops ATOP 2009, Budapest, Hungary, May 12, 2009, and ATOP 2010, Toronto, ON, Canada, May 10, 2010, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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MABS 2009 (2009 Bucharest, Hungary). Multi-agent-based simulation X: International workshop, MABS 2009, Budapest, Hungary, May 11-12, 2009 : revised selected papers. Berlin: Springer, 2010.

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S, Sichman Jaime, Bousquet François 1963-, and Davidsson Paul 1964-, eds. Multi-agent-based simulation II: Third international workshop, MABS 2002, Bologna, Italy, July 2002 : revised papers. Berlin: Springer, 2003.

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David, Hutchison. Multi-Agent-Based Simulation IX: International Workshop, MAPS 2008, Estoril, Portugal, May 12-13, 2008, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Agent-Based Modelling and Geographical Information Systems: A Practical Primer. SAGE Publications, Limited, 2019.

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Agent-Based Modelling and Geographical Information Systems: A Practical Primer. SAGE Publications Ltd, 2019.

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North, Michael J., and Charles M. Macal. Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press, USA, 2007.

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Book chapters on the topic "Agent-based information systems"

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Hisakado, Masato, and Shintaro Mori. "Information Cascade and Networks." In Agent-Based Social Systems, 99–118. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_7.

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Nourani, Cyrus F. "Agent-Based Software Engineering and Agent Mediations." In Hybrid Information Systems, 469–84. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1782-9_34.

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Mori, Shintaro, and Masato Hisakado. "Information Cascade Experiment: Urn Quiz." In Agent-Based Social Systems, 181–91. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_11.

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Hisakado, Masato, and Shintaro Mori. "Information Cascade and Bayes Formula." In Agent-Based Social Systems, 193–202. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_12.

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Hisakado, Masato, and Shintaro Mori. "Information Cascade and Phase Transition." In Agent-Based Social Systems, 65–79. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_5.

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Mori, Shintaro, and Masato Hisakado. "Domino Effect in Information Cascade." In Agent-Based Social Systems, 141–65. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_9.

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Mori, Shintaro, and Masato Hisakado. "Information Cascade Experiment: General Knowledge Quiz." In Agent-Based Social Systems, 167–79. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_10.

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Meddes, Jonathan, and Eric McKenzie. "An Agent-Based Visualisation Architecture." In Visual Information and Information Systems, 43–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48762-x_6.

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Debenham, John. "An Information-Based Agent." In Holonic and Multi-Agent Systems for Manufacturing, 64–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11537847_6.

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Wong, Wing-Shing, and John Baillieul. "Information-Based Multi-Agent Systems." In Encyclopedia of Systems and Control, 571–75. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_153.

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Conference papers on the topic "Agent-based information systems"

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Dong, Wenli, Yi Zhao, and Ting Bai. "Multi-agent Based Information Collaboration Computation." In 2014 Enterprise Systems Conference (ES). IEEE, 2014. http://dx.doi.org/10.1109/es.2014.28.

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Sembiring, Nurhayati, and Ryan I. P. Sipayung. "Developing Multi-Agent Systems Using Agent-Based and Geographic Information System Simulation." In 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT). IEEE, 2020. http://dx.doi.org/10.1109/mecnit48290.2020.9166670.

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Miranda, Miguel, Gabriel Pontes, Antonio Abelha, Jose Neves, and Jose Machado. "Agent based interoperability in hospital information systems." In 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2012. http://dx.doi.org/10.1109/bmei.2012.6513042.

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Bodendorf, Freimut, Stefan Winkler, Roland Zimmermann, and Bernd Vogele. "Agent-Based Information Logistics in Planning Processes." In Second International Conference on Systems (ICONS'07). IEEE, 2007. http://dx.doi.org/10.1109/icons.2007.11.

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Wang, I. N., N. J. Fiddian, and W. A. Gray. "Market-based agent allocation in global information systems." In the fifth international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375735.375877.

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"AN AGENT BASED INFORMATION SYSTEM FOR COMMUNITIES MEDIATION." In 9th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002388302950298.

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"AGENT-BASED APPROACH FOR ELECTRICITY DISTRIBUTION SYSTEMS." In 9th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002350003820389.

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"MULTI-AGENT SYSTEMS AND THE SEMANTIC WEB - The SemanticCore Agent-based Abstraction Layer." In 6th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0002635102630270.

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Gatial, E., Z. Balogh, and L. Hluchy. "Agent-based information integration using generated user forms." In 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES). IEEE, 2013. http://dx.doi.org/10.1109/ines.2013.6632797.

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"AN AGENT BASED INFRASTRUCURE FOR FACILITATING EVIDENCE BASED MEDICINE." In 6th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0002657804930496.

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Reports on the topic "Agent-based information systems"

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PHILLIPS, LAURENCE R., HAMILTON E. LINK, and STEVEN Y. GOLDSMITH. Agent-Based Mediation and Cooperative Information Systems. Office of Scientific and Technical Information (OSTI), June 2002. http://dx.doi.org/10.2172/800991.

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2

Chrest, David, and William Wheaton. Using Geographic Information Systems to Define and Map Commuting Patterns as Inputs to Agent-Based Models. Research Triangle Park, NC: RTI Press, June 2009. http://dx.doi.org/10.3768/rtipress.2009.rr.0012.0906.

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