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» Adapting SME Learning Environments for Adaptivity
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ML
2007
ACM
104views Machine Learning» more  ML 2007»
14 years 11 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
AIHC
2007
Springer
15 years 6 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
AGENTS
2001
Springer
15 years 4 months ago
A social reinforcement learning agent
We report on the use of reinforcement learning with Cobot, a software agent residing in the wellknown online community LambdaMOO. Our initial work on Cobot (Isbell et al.2000) pro...
Charles Lee Isbell Jr., Christian R. Shelton, Mich...
MATA
2004
Springer
101views Communications» more  MATA 2004»
15 years 5 months ago
Mobile Tourist Guide Services with Software Agents
Applications for mobile devices have some restrictions because of the limited capabilities and heterogeneity of these devices. However, their communication capabilities allow the d...
Juan Pavón, Juan M. Corchado, Jorge J. G&oa...
148
Voted
DAMAS
2005
Springer
15 years 5 months ago
Cognitive Agents for Sense and Respond Logistics
We present a novel cognitive agent architecture and demonstrate its effectiveness in the Sense and Respond Logistics (SRL) domain. Effective applications to support SRL must antic...
Kshanti A. Greene, David G. Cooper, Anna L. Buczak...