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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 6: Argumentation Strategies for Task Delegation
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Citations

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Summary Dimensions citations
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Chapter title
Argumentation Strategies for Task Delegation
Chapter number 6
Book title
Multi-Agent Systems
Published by
Springer, Berlin, Heidelberg, November 2011
DOI 10.1007/978-3-642-34799-3_6
Book ISBNs
978-3-64-234798-6, 978-3-64-234799-3
Authors

Chukwuemeka David Emele, Timothy J. Norman, Simon Parsons

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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