Principles of Practice in Multi-Agent Systems

Principles of Practice in Multi-Agent Systems

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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 a€œInternational Conference on Principles of Practice in Multi-Agent Systemsa€ 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.3. The. Statechart. Definition. and. Metamodel. Statecharts [5] are used for modeling systems. They are based on an activity-chart that is a hierarchical data- flow diagram, where the functional capabilities of the system are captured by activitiesanbsp;...


Title:Principles of Practice in Multi-Agent Systems
Author: Jung-Jin Yang, Makoto Yokoo, Takayuki Ito, Zhi Jin, Paul Scerri
Publisher:Springer - 2009-12-15
ISBN-13:

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