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Multi-agent and Complex Systems

Overview of attention for book
Cover of 'Multi-agent and Complex Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-agent and Complex Systems
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    Chapter 2 A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management
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    Chapter 3 Multi-agent and Complex Systems
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    Chapter 4 Trust Transference on Social Exchanges Among Triads of Agents Based on Dependence Relations and Reputation
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    Chapter 5 Exploiting Vagueness for Multi-agent Consensus
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    Chapter 6 Selecting Robust Strategies Based on Abstracted Game Models
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    Chapter 7 Adaptive Forwarder Selection for Distributed Wireless Sensor Networks
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    Chapter 8 Technical Challenges and Implementation of Mobile Ad-hoc Water Level Measuring System
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    Chapter 9 Membership Function Based Matching Approach of Buyers and Sellers Through a Broker in Open E-Marketplace
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    Chapter 10 Multi-objective Nurse Rerostering Problem
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    Chapter 11 Preference Aware Influence Maximization
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    Chapter 12 Multi-agent and Complex Systems
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    Chapter 13 Preliminary Estimating Method of Opponent’s Preferences Using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations
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    Chapter 14 Collective Learning and Information Diffusion for Efficient Emergence of Social Norms
Attention for Chapter 6: Selecting Robust Strategies Based on Abstracted Game Models
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Citations

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6 Dimensions

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9 Mendeley
Summary Dimensions citations
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Chapter title
Selecting Robust Strategies Based on Abstracted Game Models
Chapter number 6
Book title
Multi-agent and Complex Systems
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-2564-8_6
Book ISBNs
978-9-81-102563-1, 978-9-81-102564-8
Authors

Oscar Veliz, Christopher Kiekintveld, Veliz, Oscar, Kiekintveld, Christopher

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 2 22%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 5 56%
Mathematics 1 11%
Neuroscience 1 11%
Unknown 2 22%

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