Recent Advances in Agent-based Complex Automated Negotiation

✍ Scribed by Naoki Fukuta, Takayuki Ito, Minjie Zhang, Katsuhide Fujita, Valentin Robu (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 297
• Series: Studies in Computational Intelligence 638
• Edition: 1
• Category: Library

✦ Synopsis

This book covers recent advances in Complex Automated Negotiations as a widely studied emerging area in the field of Autonomous Agents and Multi-Agent Systems. The book includes selected revised and extended papers from the 7th International Workshop on Agent-Based Complex Automated Negotiation (ACAN2014), which was held in Paris, France, in May 2014. The book also includes brief introductions about Agent-based Complex Automated Negotiation which are based on tutorials provided in the workshop, and brief summaries and descriptions about the ANAC'14 (Automated Negotiating Agents Competition) competition, where authors of selected finalist agents explain the strategies and the ideas used by them. The book is targeted to academic and industrial researchers in various communities of autonomous agents and multi-agent systems, such as agreement technology, mechanism design, electronic commerce, related areas, as well as graduate, undergraduate, and PhD students working in those areas or having interest in them.

✦ Table of Contents

Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Prediction of the Opponent’s Preference in Bilateral Multi-issue Negotiation Through Bayesian Learning....Pages 3-20
Automated Negotiating Agent with Strategy Adaptation for Multi-times Negotiations....Pages 21-37
Optimal Non-adaptive Concession Strategies with Incomplete Information....Pages 39-54
Handling Agents’ Incomplete Information in a Coalition Formation Model....Pages 55-70
A Multiagent Multilateral Negotiation Protocol for Joint Decision-Making....Pages 71-88
On the Complexity of Utility Hypergraphs....Pages 89-105
Negotiations in Holonic Multi-agent Systems....Pages 107-118
Front Matter....Pages 119-119
A Group Task Allocation Strategy in Open and Dynamic Grid Environments....Pages 121-139
A Performance Optimization Support Framework for GPU-Based Traffic Simulations with Negotiating Agents....Pages 141-156
RECON: A Robust Multi-agent Environment for Simulating COncurrent Negotiations....Pages 157-174
Using Transfer Learning to Model Unknown Opponents in Automated Negotiations....Pages 175-192
Gaussian-Based Bidding Strategies for Service Composition Simulations....Pages 193-208
Front Matter....Pages 209-209
The Fifth Automated Negotiating Agents Competition (ANAC 2014)....Pages 211-224
GANGSTER: An Automated Negotiator Applying Genetic Algorithms....Pages 225-234
AgentM....Pages 235-240
k-GAgent: Negotiating Agents Considering Interdependencies Between Issues....Pages 241-247
A Greedy Coordinate Descent Algorithm for High-Dimensional Nonlinear Negotiation....Pages 249-260
DoNA—A Domain-Based Negotiation Agent....Pages 261-271
WhaleAgent: Hardheaded Strategy and Conceder Strategy Based on the Heuristics....Pages 273-278
Agent YK: An Efficient Estimation of Opponent’s Intention with Stepped Limited Concessions....Pages 279-283
Front Matter....Pages 209-209
BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains....Pages 285-293

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics); Game Theory, Economics, Social and Behav. Sciences