Novel Insights in Agent-based Complex Automated Negotiation [Hardcover]

This book focuses on all aspects of complex automated negotiations, which are studied in the field of autonomous agents and multi-agent systems. This book consists of two parts. I: Agent-Based Complex Automated Negotiations and II: Automated Negotiation Agents Competition. The chapters in Part I are extended versions of papers presented at the 2012 international workshop on Agent-Based Complex Automated Negotiation (ACAN), after peer reviews by three Program Committee members. Part II examines in detail ANAC 2012 (The Third Automated Negotiating Agents Competition), in which automated agents that have different negotiation strategies and are implemented by different developers are automatically negotiated in the several negotiation domains. ANAC is an international competition in which automated negotiation strategies, submitted by a number of universities and research institutes across the world, are evaluated in tournament style. The purpose of the competition is to steer the research in the area of bilateral multi-issue, closed negotiation. This book also includes the rules, results, agents and domain descriptions for ANAC 2011 as submitted by the organizers and finalists.

This book presents papers and results from the 3rd Automated Negotiating Agents Competition (ANAC 2012), in which automated agents having different negotiation strategies, implemented by developers from around the world, are evaluated in a competitive tournament.Intra-Team Strategies for Teams Negotiating Against Competitor, Matchers and Conceders.- Alternative Social Welfare Definitions for Multiparty Negotiation Protocols.- Multilateral Mediated Negotiation Protocols with Feedback.- Decoupling Negotiating Agents to Explore the Space of Negotiation Strategies.- A Dynamic, Optimal Approach for Multi-Issue Negotiation under Time Constraints.- On Dynamic Negotiation Strategy for Concurrent Negotiation over Distinct Objects.- Reducing The Complexity of Negotiations Over InterdepelC=