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ATAL
2005
Springer
14 years 1 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
COST
2009
Springer
185views Multimedia» more  COST 2009»
13 years 5 months ago
How an Agent Can Detect and Use Synchrony Parameter of Its Own Interaction with a Human?
Synchrony is claimed by psychology as a crucial parameter of any social interaction: to give to human a feeling of natural interaction, a feeling of agency [17], an agent must be a...
Ken Prepin, Philippe Gaussier
SBIA
2000
Springer
13 years 11 months ago
Applying the ARTIS Agent Architecture to Mobile Robot Control
Abstract. The agent/multi-agent system paradigm is an important field of Artificial Intelligence. The use of this paradigm in real-world problems is one of the main lines of intere...
José Soler, Vicente Julián, Carlos C...
ICMLA
2007
13 years 9 months 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
CP
2000
Springer
14 years 6 days ago
Constraint-Based Agents: The ABC's of CBA's
The Constraint-Based Agent (CBA) framework is a set of tools for designing, simulating, building, verifying, optimizing, learning and debugging controllers for agents embedded in a...
Alan K. Mackworth