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Recent Advances in Agent-based Complex Automated Negotiation

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Table of Contents

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    Book Overview
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    Chapter 1 Prediction of the Opponent’s Preference in Bilateral Multi-issue Negotiation Through Bayesian Learning
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    Chapter 2 Automated Negotiating Agent with Strategy Adaptation for Multi-times Negotiations
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    Chapter 3 Optimal Non-adaptive Concession Strategies with Incomplete Information
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    Chapter 4 Handling Agents’ Incomplete Information in a Coalition Formation Model
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    Chapter 5 A Multiagent Multilateral Negotiation Protocol for Joint Decision-Making
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    Chapter 6 On the Complexity of Utility Hypergraphs
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    Chapter 7 Negotiations in Holonic Multi-agent Systems
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    Chapter 8 Recent Advances in Agent-based Complex Automated Negotiation
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    Chapter 9 A Performance Optimization Support Framework for GPU-Based Traffic Simulations with Negotiating Agents
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    Chapter 10 RECON: A Robust Multi-agent Environment for Simulating COncurrent Negotiations
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    Chapter 11 Using Transfer Learning to Model Unknown Opponents in Automated Negotiations
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    Chapter 12 Gaussian-Based Bidding Strategies for Service Composition Simulations
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    Chapter 13 The Fifth Automated Negotiating Agents Competition (ANAC 2014)
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    Chapter 14 GANGSTER: An Automated Negotiator Applying Genetic Algorithms
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    Chapter 15 AgentM
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    Chapter 16 k-GAgent: Negotiating Agents Considering Interdependencies Between Issues
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    Chapter 17 A Greedy Coordinate Descent Algorithm for High-Dimensional Nonlinear Negotiation
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    Chapter 18 DoNA—A Domain-Based Negotiation Agent
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    Chapter 19 WhaleAgent: Hardheaded Strategy and Conceder Strategy Based on the Heuristics
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    Chapter 20 Agent YK: An Efficient Estimation of Opponent’s Intention with Stepped Limited Concessions
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    Chapter 21 BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains
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