The AAMAS conference series was initiated in 2002, with the goal of providing a single, high profile, internationally respected and recognised forum for research in the theory and practice of autonomous agents and multiagent systems. The first AAMAS conference (AAMAS-2002, Bologna, Italy) attracted a remarkable number of submissions and nearly 700 delegates, firmly establishing it as the major event in the academic history of agent systems to date. We expect that the 2003 conference, in the attractive and cosmopolitan setting of Melbourne, Australia, will build on the successes and strengths of the 2002 conference, and will confirm AAMAS as a key event on the international computing research calendar.AAMAS-03 received 466 submissions, from 30 countries across the globe. The 33 members of the senior program committee recruited 178 program committee members to handle the reviewing process. Each paper was reviewed by at least three program committee members, with some submissions selected for publication as full papers, and some selected for presentation as posters. The acceptance rate for full papers was 24.7%: low enough to ensure high quality, yet high enough to include a variety of topics and perspectives. The acceptance rate for full papers and posters together was 56.9%. Full papers were accepted from 19 countries, and posters from 21 countries. This proceedings volume includes full papers, and poster summaries.
The AAMAS conference is a merger of three highly successful related events:
The International Conference on Autonomous Agents (AGENTS);
The International Conference on Multi-Agent Systems (ICMAS); and
The International Workshop on Agent Theories, Architectures, and Languages (ATAL).
Social navigation: modeling, simulation, and experimentation
The term social navigation refers to the process of seeking social interaction as a source of navigational support. In this paper we present a computational model of social navigation as an extension to an existing conceptual, non-computational model of ...
Scenario description for multi-agent simulation
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-scale social simulations, we have developed the scenario description ...
Selection of information types based on personal utility: a testbed for traffic information markets
Traffic is an interesting research area for multi-agent systems, as the inter-dependence of actions leads to a high frequency of implicit coordination decisions among agents. The present work investigates the simulation of a market for traffic ...
A multi-agent system for the quantitative simulation of biological networks
We apply the multi-agent system (MAS) platform to the task of biological network simulation. In this paper, we describe the simulation of signal transduction (ST) networks using the DECAF [9] MAS architecture. Unlike previous approaches that relied on ...