Intelligent environmentsareaninterestingdevelopmentandresearchapplication problem for multi-agent systems.The functionalandspatialdistribution of tasksnaturally lendsitself to a m...
Victor R. Lesser, Michael Atighetchi, Brett Benyo,...
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
The rational agent community uses Michael Bratman's planning theory of intention as its theoretical foundation for the development of its agentoriented BDI languages. We prese...
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...