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Books on the topic 'Design Agent'

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Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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1

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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2

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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3

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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4

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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5

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

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6

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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7

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

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8

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

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9

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

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10

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

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11

Agency, United States Central Intelligence. Iraqi mobile biological warfare agent production plants. [Washington, D.C.?]: Central Intelligence Agency, 2003.

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12

1945-, Pettit Philip, ed. Group agency: The possibility, design, and status of corporate agents. Oxford: Oxford University Press, 2011.

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13

National Research Council (U.S.). Committee to Assess Designs for Pueblo and Blue Grass Chemical Agent Destruction Pilot Plants. Interim design assessment for the Pueblo Chemical Agent Destruction Pilot Plant. Washington, D.C: National Academies Press, 2005.

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14

1977-, Ichalkaranje Nikhil, and Jain L. C, eds. Design of intelligent multi-agent systems: Human-centredness, architectures, learning, and adaptation. Berlin: Springer, 2004.

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15

Fasli, Maria, and Onn Shehory, eds. Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72502-2.

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16

Botti, Vicente. ANEMONA: A multi-agent methodology for holonic manufacturing systems. London: Springer, 2008.

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17

International Workshop on Agents, Norms and Institutions for Regulated Multi-Agent Systems (2005 Utrecht, Netherlands). Coordination, organizations, institutions, and norms in multi-agent systems: AAMAS 2005 International Workshops on Agents, Norms and Institutions for Regulated Multi-Agent Systems, ANIREM 2005, and From Organizations to Organization-Oriented Programming in Multi-Agent Systems, OOOP 2005, Utrecht, The Netherlands, July 25-26, 2005 : revised selected papers. Berlin: Springer, 2006.

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18

Roddy, Kimberly A. Modeling human and organizational behavior using a relation-centric multi-agent system design paradigm. Monterey, Calif: Naval Postgraduate School, 2000.

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19

Lobo, Sylvia Grace Marianne Jean. The design, synthesis and evaluation of a novel DNA cross-linking agent based onthe pyrrolobenzodiazepines. Portsmouth: University of Portsmouth, Division of Medicinal Chemistry and Organic Chemistry, 1996.

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20

Hollingshead, Molly. The Agent: Murder by Design. Writers Club Press, 2001.

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21

Salamon, Tomas. Design of Agent-Based Models. Tomas Bruckner, 2011.

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22

Hilaire, Vincent, Massimo Cossentino, and Ambra Molesini. Handbook on Agent-Oriented Design Processes. Springer, 2014.

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23

Hilaire, Vincent, Massimo Cossentino, Ambra Molesini, and Valeria Seidita. Handbook on Agent-Oriented Design Processes. Springer, 2014.

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24

Hilaire, Vincent, Massimo Cossentino, Ambra Molesini, and Valeria Seidita. Handbook on Agent-Oriented Design Processes. Springer, 2014.

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25

Hilaire, Vincent, Massimo Cossentino, Ambra Molesini, and Valeria Seidita. Handbook on Agent-Oriented Design Processes. Springer, 2016.

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26

Bordini, Rafael H., Mehdi Dastani, and Amal El Fallah Seghrouchni. Multi-Agent Programming. Springer, 2008.

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27

(Editor), Daniel Kudenko, Dimitar Kazakov (Editor), and Eduardo Alonso (Editor), eds. Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning (Lecture Notes in Computer Science). Springer, 2005.

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28

Botti, Vicente, Adriana Giret, and Emilia Garcia. Regulated Open Multi-Agent Systems: A Multi-Agent Approach for Designing Normative Open Systems. Springer, 2015.

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29

Botti, Vicente, Adriana Giret, and Emilia Garcia. Regulated Open Multi-Agent Systems: A Multi-Agent Approach for Designing Normative Open Systems. Springer, 2014.

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30

Botti, Vicente, Adriana Giret, and Emilia Garcia. Regulated Open Multi-Agent Systems: A Multi-Agent Approach for Designing Normative Open Systems. Springer, 2016.

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31

Westerhoff, Frank, and Reiner Franke. Agent-Based Models for Economic Policy Design. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.40.

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With the help of two examples, this chapter illustrates the usefulness of agent-based models as tools for economic policy design. The first example applies a financial market model in which the order flow of speculators, relying on technical and fundamental analysis, generates intricate price dynamics. The second example applies a Keynesian-type goods market model in which the investment behavior of firms, relying on extrapolative and regressive predictors, generates complex business cycles. It adds a central authority to these two setups and explores the impact of simple intervention strategies on the model dynamics. On the basis of these experiments, the chapter concludes that agent-based models may help us understand how markets function and evaluate the effectiveness of various stabilization policies.
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32

Weyns, Danny. Architecture-Based Design of Multi-Agent Systems. Springer, 2014.

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33

Modeling Tactical Level Combat Using a Multi-Agent System Design Paradigm (GI Agent). Storming Media, 2001.

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34

Understanding Agent Systems. Springer, 2010.

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35

Truszkowski, Walt, Christopher Rouff, Michael Hinchey, James Rash, and Diana F. Gordon-Spears. Agent Technology from a Formal Perspective. Springer, 2006.

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36

Truszkowski, Walt, Christopher Rouff, Michael Hinchey, James Rash, and Diana F. Gordon-Spears. Agent Technology from a Formal Perspective. Springer, 2010.

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37

Shen, Weiming. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis Group, 2019.

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38

Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. CRC, 2000.

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39

Shen, Weiming. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis Group, 2019.

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40

Shen, Weiming. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis Group, 2019.

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41

Shen, Weiming, Douglas H. Norrie, and Jean-Paul A. Barthes. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis Group, 2000.

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42

Shen, Weiming. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. Taylor & Francis Group, 2019.

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43

Pettit, Philip. Group Agency: The Possibility, Design, and Status of Corporate Agents. Oxford University Press, 2011.

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44

Pettit, Philip. Group Agency: The Possibility, Design, and Status of Corporate Agents. Oxford University Press, 2013.

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45

Pettit, Philip. Group Agency: The Possibility, Design, and Status of Corporate Agents. Oxford University Press, 2011.

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46

Liang, Chien-Tsun. An object oriented intelligent agent simulation environment. 1996.

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47

Lynch, S. C. Boris: A framework for multi-agent systems design and deployment. May 2004, 2004.

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48

Ketter, Wolfgang. Trading Agent Design and Analysis: Papers from the AAAI Workshop. AAAI Press, 2008.

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49

Schumacher, Michael. Objective Coordination in Multi-Agent System Engineering: Design and Implementation. Springer, 2003.

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50

Sugden, Robert. The Inner Rational Agent. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825142.003.0004.

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Chapter 4 reviews ‘behavioural welfare economics’—the approach to normative analysis that is favoured by most behavioural economists. This approach assumes that people have context-independent ‘true’ or ‘latent’ preferences which, because of psychologically-induced errors, are not always revealed in actual choices. Behavioural welfare economics aims to reconstruct latent preferences by identifying and removing the effects of error on decisions, and to design policies to satisfy those preferences. Its implicit model of human agency is of an ‘inner rational agent’ that interacts with the world through an imperfect psychological ‘shell’. I argue that there is no satisfactory evidence to support this model, and no credible psychological foundation for it. Since the concept of true preference has no empirical content, the idea that such preferences can be reconstructed is a mirage. Normative economics needs to be more radical in giving up rationality assumptions.
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