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» Learning Character Behaviors Using Agent Modeling in Games
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135
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CIIA
2009
15 years 4 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
111
Voted
AAAI
2000
15 years 5 months ago
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
Joseph Beck, Beverly Park Woolf, Carole R. Beal
149
Voted
ATAL
2003
Springer
15 years 9 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
ATAL
2009
Springer
15 years 10 months ago
Effective tag mechanisms for evolving cooperation
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
Matthew Matlock, Sandip Sen
143
Voted
ATAL
2010
Springer
15 years 4 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings