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» Using Learning in a Control Agent
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AOSE
2005
Springer
14 years 1 months ago
Using the Analytic Hierarchy Process for Evaluating Multi-Agent System Architecture Candidates
Abstract. Although much effort has been spent on suggesting and implementing new architectures of Multi-Agent Systems (MAS), the evaluation and comparison of these has often been d...
Paul Davidsson, Stefan J. Johansson, Mikael Svahnb...
COMPSAC
2005
IEEE
14 years 1 months ago
Considerations on a New Software Architecture for Distributed Environments Using Autonomous Semantic Agents
Distributed processing environments such as that of a traffic management network system (TMS) can be implemented easier, faster, and secure and perform better through use of auton...
Atilla Elçi, Behnam Rahnama
AAAI
2008
13 years 10 months ago
Efficient Learning of Action Schemas and Web-Service Descriptions
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
Thomas J. Walsh, Michael L. Littman
AOIS
2004
13 years 9 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. ...
AAAI
1990
13 years 9 months ago
Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction
This paper presents a projection algorithm for incremental control rule synthesis. The algorithm synthesizes an initial set of goal-achieving control rules using a combination of ...
Mark Drummond, John L. Bresina