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EUMAS
2006
13 years 11 months ago
DimaX: A Fault-Tolerant Multi-Agent Platform
Fault tolerance is an important property of large-scale multiagent systems as the failure rate grows with both the number of the hosts and deployed agents, and the duration of com...
Nora Faci, Zahia Guessoum, Olivier Marin
CATE
2004
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13 years 11 months ago
Decision Training using Agent-based Business Strategy Games
Emerging technologies, such as intelligent agents, avatars, and distributed environments offer new opportunities for the improvement of business games used for training decision m...
Mike Dobson, Vadim Kyrylov, Tetyana Kyrylova
AOIS
2006
13 years 11 months ago
Providing Contextual Norm Information in Open Multi-Agent Systems
Agents can freely migrate among open MASs in order to obtain resources or services not found locally. In this scenario, agent actions should be guided for avoiding unexpected behav...
Carolina Howard Felicíssimo, Ricardo Choren...
AOIS
2006
13 years 11 months ago
ToothAgent: A Multi-agent System for Virtual Communities Support
People tend to form social networks within geographical areas. This can be explained by the fact that generally geographical localities correspond to common interests (e.g. studen...
Volha Bryl, Paolo Giorgini, Stefano Fante
AOIS
2004
13 years 11 months ago
Mobeet: A Multi-agent Framework for Ubiquitous Information Systems
Abstract. In recent years, the rapid development of network infrastructure and the spread of terminals capable of network access have made it possible to access networks at any pla...
Nobukazu Yoshioka, Akihiko Ohsuga, Shinichi Honide...
AOIS
2004
13 years 11 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
AOIS
2004
13 years 11 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
AOIS
2004
13 years 11 months ago
Agents as Catalysts for Mobile Computing
Agent-Oriented Programming (AOP) offers an alternative and radical approach to the development of information systems in various domains. However, one domain that AOP has only mini...
Gregory M. P. O'Hare, Michael J. O'Grady, Rem W. C...
AOIS
2004
13 years 11 months ago
SNet Reloaded: Roles, Monitoring and Agent Evolution
Günter Gans, Dominik Schmitz, Thomas Arzdorf,...