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Books on the topic 'Agent-based information systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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1

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

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2

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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3

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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4

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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5

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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6

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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7

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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8

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

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9

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

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10

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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11

(Editor), Frank Dignum, and Ulises Cortes (Editor), eds. Agent-Mediated Electronic Commerce III: Current Issues in Agent-Based Electronic Commerce Systems (Lecture Notes in Computer Science). Springer, 2001.

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12

(Editor), Paul Davidsson, Brian Logan (Editor), and Keiki Takadama (Editor), eds. Multi-Agent and Multi-Agent-Based Simulation: Joint Workshop MABS 2004 (Lecture Notes in Computer Science). Springer, 2005.

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13

IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems. Springer, 2006.

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14

Buse, David P., and Q. H. Wu. IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems. Springer, 2010.

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15

Randy, Gimblett H., ed. Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes. Oxford: Oxford University Press, 2002.

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16

Gimblett, H. Randy. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195143362.001.0001.

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This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors, and successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.
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17

Kanakia, Anshul. Response Threshold Based Task Allocation in Multi-Agent Systems: Performing Concurrent Benefit Tasks with Limited Information. Nikolaus Correll dba Magellan Scientific, 2016.

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18

Madey, Gregory R., S. M. Niaz Arifin, and Frank H. Collins. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology. Wiley & Sons, Limited, John, 2016.

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19

Madey, Gregory R., S. M. Niaz Arifin, and Frank H. Collins. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology. Wiley & Sons, Incorporated, John, 2016.

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20

Madey, Gregory R., S. M. Niaz Arifin, and Frank H. Collins. Spatial Agent-Based Simulation Modeling in Public Health: Design, Implementation, and Applications for Malaria Epidemiology. Wiley & Sons, Incorporated, John, 2016.

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21

Müller, Jörg, Klaus Fischer, and Renato Levy. Agent-Based Technologies and Applications for Enterprise Interoperability: International Workshops ATOP 2009, Budapest, Hungary, May 12, 2009, and ... Canada, May 10, 2010, Revised Selected Papers. Springer, 2012.

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22

Gimblett, H. Randy. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes (Santa Fe Institute Studies in the Sciences of Complexity). Oxford University Press, USA, 2001.

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23

Gimblett, H. Randy. Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes (Santa Fe Institute Studies in the Sciences of Complexity). Oxford University Press, USA, 2001.

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24

(Editor), Jaime S. Sichman, and Luis Antunes (Editor), eds. Multi-Agent-Based Simulation VI: International Workshop, MABS 2005, Utrecht, The Netherlands, July 25, 2005, Revised and Invited Papers (Lecture Notes in Computer Science). Springer, 2006.

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25

Schultze-Berndt, Eva. Interaction of Ergativity and Information Structure in Jaminjung (Australia). Edited by Jessica Coon, Diane Massam, and Lisa Demena Travis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198739371.013.44.

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This chapter presents a survey of ergativity in Jaminjung, a Mindi language of northern Australia. Jaminjung is morphologically ergative but displays nominative-accusative traits in several syntactic constructions. It also exhibits differential (“optional”) agent marking since in most environments, ergative case may be present or absent, depending on multiple factors. These include factors which are known to trigger splits in split ergative systems – animacy, degree of impingement on the patient, and aspect – but also information structure: the presence of ergative marking strongly correlates with focus. A further interesting phenomenon is the occasional use of the ablative case as an alternative to the ergative case in marking agents, also related to information structure, verb class and animacy. Taking a construction-based perspective, it is argued that agent marking in Jaminjung is neither purely lexically nor purely structurally determined, but can be accounted for by a number of violable constraints, without strict ranking.
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26

Walton, Christopher. Agency and the Semantic Web. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780199292486.001.0001.

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This highly topical text considers the construction of the next generation of the Web, called the Semantic Web. This will enable computers to automatically consume Web-based information, overcoming the human-centric focus of the Web as it stands at present, and expediting the construction of a whole new class of knowledge-based applications that will intelligently utilize Web content. The text is structured into three main sections on knowledge representation techniques, reasoning with multi-agent systems, and knowledge services. For each of these topics, the text provides an overview of the state-of-the-art techniques and the popular standards that have been defined. Numerous small programming examples are given, which demonstrate how the benefits of the Semantic Web technologies can be realized at the present time. The main theoretical results underlying each of the technologies are presented, and the main problems and research issues which remain are summarized. Based on a course on 'Multi-Agent Systems and the Semantic Web' taught at the University of Edinburgh, this text is ideal for final-year undergraduate and graduate students in Mathematics, Computer Science, Artificial Intelligence, and Logic and researchers interested in Multi-Agent Systems and the Semantic Web.
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27

Laver, Michael, and Ernest Sergenti. Party Competition. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.001.0001.

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Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes that are continuously evolving, yet classical theoretical approaches to the subject leave many important questions unanswered. This book offers the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This exciting new technology enables researchers to model competition between several different political parties for the support of voters with widely varying preferences on many different issues. The book models party competition as a true dynamic process in which political parties rise and fall, a process where different politicians attack the same political problem in very different ways, and where today's political actors, lacking perfect information about the potential consequences of their choices, must constantly adapt their behavior to yesterday's political outcomes. This book shows how agent-based modeling can be used to accurately reflect how political systems really work. It demonstrates that politicians who are satisfied with relatively modest vote shares often do better at winning votes than rivals who search ceaselessly for higher shares of the vote. It reveals that politicians who pay close attention to their personal preferences when setting party policy often have more success than opponents who focus solely on the preferences of voters, that some politicians have idiosyncratic “valence” advantages that enhance their electability—and much more.
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28

Di Paolo, Ezequiel, Thomas Buhrmann, and Xabier Barandiaran. Sensorimotor Life. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198786849.001.0001.

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This book elaborates a series of contributions to a non–representational theory of action and perception. It is based on current theoretical developments in the enactive approach to life and mind. These enactive ideas are applied and extended to provide a theoretically rich, naturalistic account of sensorimotor meaning and agency. This account supplies non–representational extensions to the sensorimotor approach to perceptual experience based on the notion of the living body as a self–organizing dynamic system in coupling with the environment. The enactive perspective entails the use of world–involving explanations, in which processes external to an agent co–constitute mental phenomena in ways that cannot be reduced to the supply of information for internal processing. These contributions to sensorimotor theories are a dynamical–systems description of different types of sensorimotor regularities or sensorimotor contingencies, a dynamical interpretation of Piaget's theory of equilibration to ground the concept of sensorimotor mastery, and a theory of agency as organized networks of sensorimotor schemes, with its implications for sensorimotor subjectivity. New tools are provided for examining the organization, development, and operation of networks of sensorimotor schemes that compose regional activities and genres of action with their own situated norms. This permits the exploration of new explanations for the phenomenology of agency experience that are favorably contrasted with traditional computational approaches and lead to new empirical predictions. From these proposals, capabilities once beyond the reach of enactive explanations, such as the possibility of virtual actions and the adoption of socially mediated abstract perceptual attitudes, can be addressed.
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