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» Learning behavior styles with inverse reinforcement learning
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IUI
2009
ACM
15 years 6 months ago
Learning to generalize for complex selection tasks
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
Alan Ritter, Sumit Basu
AIIDE
2008
15 years 7 days ago
TAP: An Effective Personality Representation for Inter-Agent Adaptation in Games
Tactical Agent Personality (TAP) is a modeling concept to capture tactical patterns in game agents, based on a personality concept introduced by Tan and Cheng (2007), to allow beh...
Chek Tien Tan, Ho-Lun Cheng
IJCNN
2007
IEEE
15 years 4 months ago
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Abstract— Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
Simona Doboli, Ali A. Minai, Vincent R. Brown
ATAL
2006
Springer
15 years 1 months ago
Convergence analysis for collective vocabulary development
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
Jun Wang, Les Gasser, Jim Houk
IUI
2005
ACM
15 years 3 months ago
Animating an interactive conversational character for an educational game system
Within the framework of the project NICE (Natural Interactive Communication for Edutainment) [2], we have been developing an educational and entertaining computer game that allows...
Andrea Corradini, Manish Mehta, Niels Ole Bernsen,...