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» Learning behavior styles with inverse reinforcement learning
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IUI
2009
ACM
14 years 4 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
13 years 10 months 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
14 years 2 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
13 years 11 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
14 years 1 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,...