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Multi-Agent Systems

Overview of attention for book
Cover of 'Multi-Agent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping
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    Chapter 2 Game Theory for Security: An Important Challenge for Multiagent Systems
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    Chapter 3 Local Coordination in Online Distributed Constraint Optimization Problems
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    Chapter 4 Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques
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    Chapter 5 Towards a Design Process for Modeling MAS Organizations
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    Chapter 6 Argumentation Strategies for Task Delegation
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    Chapter 7 Using OWL 2 DL for Expressing ACL Content and Semantics
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    Chapter 8 Self-adaptive Complex Systems
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    Chapter 9 Argumentation Semantics for Agents
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    Chapter 10 Multi-agent Learning and the Reinforcement Gradient
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    Chapter 11 A Methodology for the Generation of Multi-agent Argumentation Dialogue Scenarios
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    Chapter 12 What Are Models for?
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    Chapter 13 QueryPOMDP : POMDP-Based Communication in Multiagent Systems
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    Chapter 14 A Multi-agent Based Governance of Machine-to-Machine Systems
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    Chapter 15 A Proposal of Process Fragment Definition and Documentation
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    Chapter 16 Recognizing Internal States of Other Agents to Anticipate and Coordinate Interactions
Attention for Chapter 13: QueryPOMDP : POMDP-Based Communication in Multiagent Systems
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Citations

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28 Mendeley
Summary Dimensions citations
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Chapter title
QueryPOMDP : POMDP-Based Communication in Multiagent Systems
Chapter number 13
Book title
Multi-Agent Systems
Published by
Springer, Berlin, Heidelberg, November 2011
DOI 10.1007/978-3-642-34799-3_13
Book ISBNs
978-3-64-234798-6, 978-3-64-234799-3
Authors

Francisco S. Melo, Matthijs T. J. Spaan, Stefan J. Witwicki

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 46%
Student > Master 6 21%
Other 2 7%
Student > Bachelor 2 7%
Lecturer > Senior Lecturer 1 4%
Other 0 0%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 12 43%
Engineering 12 43%
Physics and Astronomy 1 4%
Unknown 3 11%

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