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» Learning Social Preferences in Games
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AGENTS
2001
Springer
15 years 2 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...
ATAL
2009
Springer
15 years 4 months ago
Producing timely recommendations from social networks through targeted search
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Anil Gürsel, Sandip Sen
DIGRA
2005
Springer
15 years 3 months ago
Beyond P-1: Who Plays Online?
Academics and industry professionals alike have long been interested in developing a nuanced and empirically sound typography of online gamers. Designers and engineers are aware o...
Avery Alix
FUNGAMES
2008
14 years 10 months ago
Developing an Adaptive Memory Game for Seniors
This paper describes the development of a game application for seniors to train their memory and learning abilities. From an initial co-discovery evaluation participants were found...
Elly Zwartkruis-Pelgrim, Boris E. R. de Ruyter
AIIDE
2008
15 years 3 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