Principles of Practice in Multi-Agent Systems

12th International Conference, PRIMA 2009, Nagoya, Japan, December 14-16, 2009, Proceedings

658 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Agents are software processes that perceive and act in an environment, processing their perceptions to make intelligent decisions about actions to achieve their goals. Multi-agent systems have multiple agents that work in the same environment to achieve either joint or conflicting goals. Agent computing and technology is an exciting, emerging paradigm expected to play a key role in many society-changing practices from disaster response to manufacturing to agriculture. Agent and mul- agent researchers are focused on building working systems that bring together a broad range of technical areas from market theory to software engineering to user interfaces. Agent systems are expected to operate in real-world environments, with all the challenges complex environments present. After 11 successful PRIMA workshops/conferences (Pacific-Rim International Conference/Workshop on Multi-Agents), PRIMA became a new conference titled “International Conference on Principles of Practice in Multi-Agent Systems” in 2009. With over 100 submissions, an acceptance rate for full papers of 25% and 50% for posters, a demonstration session, an industry track, a RoboCup competition and workshops and tutorials, PRIMA has become an important venue for multi-agent research. Papers submitted are from all parts of the world, though with a higher representation of Pacific Rim countries than other major multi-agent research forums. This volume presents 34 high-quality and exciting technical papers on multimedia research and an additional 18 poster papers that give brief views on exciting research.

• Reihe: Lecture Notes in Artificial Intelligence
• ISBN: 9783642111600
• Sprache: Englisch
• Erscheinungsdatum: 11.12.2009
• Genre: Informatik, EDV/Informatik
• Verlag: Springer Berlin
• Herausgegeben von: Jung-Jin Yang, Makoto Yokoo, Takayuki Ito, Zhi Jin, Paul Scerri