Ivan Marsa-Maestre

Quan Bai

Takahiro Uchiya

This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in Nagoya, Japan, in November 2020. The 19 full papers presented and 13 short papers were carefully reviewed and selected from 50 submissions. Due to COVID-19, the conference was held online. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.

23rd International Conference, Nagoya, Japan, November 18-20, 2020, Proceedings. Lecture Notes in Artificial Intelligence

PRIMA 2020: Principles and Practice of Multi-Agent Systems

Takayuki Ito

Miguel A. Lopez-Carmona

Minjie Zhang

Katsuhide Fujita

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.

Novel Insights in Agent-based Complex Automated Negotiation

Ivan Marsa-Maestre

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