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Multi-Agent and Multi-Agent-Based Simulation

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Cover of 'Multi-Agent and Multi-Agent-Based Simulation'

Table of Contents

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    Book Overview
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    Chapter 1 Smooth Scaling Ahead: Progressive MAS Simulation from Single PCs to Grids
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    Chapter 2 Agent Communication in Distributed Simulations
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    Chapter 3 Distributed Simulation of MAS
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    Chapter 4 Extending Time Management Support for Multi-agent Systems
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    Chapter 5 Designing and Implementing MABS in AKIRA
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    Chapter 6 Work-Environment Analysis: Environment Centric Multi-agent Simulation for Design of Socio-technical Systems
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    Chapter 7 Layering Social Interaction Scenarios on Environmental Simulation
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    Chapter 8 Change Your Tags Fast! – A Necessary Condition for Cooperation?
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    Chapter 9 Users Matter: A Multi-agent Systems Model of High Performance Computing Cluster Users
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    Chapter 10 Formal Analysis of Meeting Protocols
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    Chapter 11 Multi-Agent and Multi-Agent-Based Simulation
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    Chapter 12 Analysis of Learning Types in an Artificial Market
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    Chapter 13 Toward Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-Learning and Sarsa Agents
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    Chapter 14 Agent-Based Modelling of Forces in Crowds
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    Chapter 15 An Investigation into the Use of Group Dynamics for Solving Social Dilemmas
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    Chapter 16 ASAP: Agent-Based Simulator for Amusement Park
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    Chapter 17 Patchiness and Prosociality: An Agent-Based Model of Plio/Pleistocene Hominid Food Sharing
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    Chapter 18 Plant Disease Incursion Management
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    Chapter 19 A Hybrid Micro-Simulator for Determining the Effects of Governmental Control Policies on Transport Chains
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    Chapter 20 Simulation and Analysis of Shared Extended Mind
Overall attention for this book and its chapters
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Mentioned by

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1 tweeter
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Citations

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10 Dimensions

Readers on

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32 Mendeley
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Title
Multi-Agent and Multi-Agent-Based Simulation
Published by
Springer Science & Business Media, March 2005
DOI 10.1007/b106991
ISBNs
978-3-54-025262-7, 978-3-54-032243-6
Editors

Davidsson, Paul, Logan, Brian, Takadama, Keiki

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
Netherlands 1 3%
Portugal 1 3%
Unknown 28 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 5 16%
Researcher 5 16%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 7 22%
Readers by discipline Count As %
Computer Science 9 28%
Social Sciences 6 19%
Engineering 4 13%
Business, Management and Accounting 4 13%
Economics, Econometrics and Finance 3 9%
Other 5 16%
Unknown 1 3%