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» A Model for Interaction of Agents and Environments
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ATAL
2003
Springer
15 years 11 months ago
Behaviors that emerge from emotion and cognition: implementation and evaluation of a symbolic-connectionist architecture
This paper describes the implementation and evaluation of a framework for modeling emotions in complex, decision-making agents. Sponsored by U.S. Army Research Institute (ARI), th...
Amy E. Henninger, Randolph M. Jones, Eric Chown
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
15 years 4 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
ICML
2006
IEEE
16 years 7 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
BIOWIRE
2007
Springer
16 years 22 days ago
Field-Based Coordination for Pervasive Computing Applications
Emerging pervasive computing technologies such as sensor networks and RFID tags can be embedded in our everyday environment to digitally store and elaborate a variety of informatio...
Marco Mamei, Franco Zambonelli
ICFP
1999
ACM
15 years 11 months ago
Principals in Programming Languages: A Syntactic Proof Technique
Programs are often structured around the idea that different pieces of code comprise distinct principals, each with a view of its environment. Typical examples include the module...
Steve Zdancewic, Dan Grossman, J. Gregory Morriset...