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Innovations in Multi-Agent Systems and Application – 1

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Cover of 'Innovations in Multi-Agent Systems and Application – 1'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Multi-Agent Systems
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    Chapter 2 Hybrid Multi-Agent Systems
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    Chapter 3 A Framework for Coordinated Control of Multi-Agent Systems
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    Chapter 4 A Use of Multi-Agent Intelligent Simulator to Measure the Dynamics of US Wholesale Power Trade: A Case Study of the California Electricity Crisis
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    Chapter 5 Argument Mining from RADB and Its Usage in Arguing Agents and Intelligent Tutoring System
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    Chapter 6 Grouping and Anti-predator Behaviors for Multi-agent Systems Based on Reinforcement Learning Scheme
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    Chapter 7 Multi-agent Reinforcement Learning: An Overview
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    Chapter 8 Multi-Agent Technology for Fault Tolerant and Flexible Control
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    Chapter 9 Timing Agent Interactions for Efficient Agent-Based Simulation of Socio-Technical Systems
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    Chapter 10 Group-Oriented Service Provisioning in Next-Generation Network
Attention for Chapter 7: Multi-agent Reinforcement Learning: An Overview
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