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» Learning Models of Intelligent Agents
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AGENTS
1999
Springer
14 years 3 months ago
The UMASS Intelligent Home Project
Intelligent environmentsareaninterestingdevelopmentandresearchapplication problem for multi-agent systems.The functionalandspatialdistribution of tasksnaturally lendsitself to a m...
Victor R. Lesser, Michael Atighetchi, Brett Benyo,...
WEBI
2009
Springer
14 years 5 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—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...
Özgür Kafali, Pinar Yolum
AIIDE
2006
14 years 5 days ago
The Self Organization of Context for Learning in MultiAgent Games
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...
Christopher D. White, Dave Brogan
ESAW
2006
Springer
14 years 2 months ago
"It's Not Just Goals All the Way Down" - "It's Activities All the Way Down"
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...
Maarten Sierhuis
ICMLA
2007
14 years 6 days ago
Learning complex problem solving expertise from failures
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...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu