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ICML
2003
IEEE
16 years 7 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
CHI
2008
ACM
16 years 7 months ago
It's Mine, Don't Touch!: interactions at a large multi-touch display in a city centre
We present data from detailed observations of CityWall, a large multi-touch display installed in a central location in Helsinki, Finland. During eight days of installation, 1199 p...
Peter Peltonen, Esko Kurvinen, Antti Salovaara, Gi...
ECAI
2006
Springer
15 years 10 months ago
Strategic Foresighted Learning in Competitive Multi-Agent Games
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
EDM
2010
150views Data Mining» more  EDM 2010»
15 years 8 months ago
Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for
Epistemic games are designed to help players develop domain-specific expertise that characterizes how professionals in a particular domain reason, communicate, and act [1, 11]. To ...
Andre A. Rupp, Shauna J. Sweet, Younyoung Choi
IJLT
2008
96views more  IJLT 2008»
15 years 6 months ago
Enhancing social interaction in competence development networks: a conceptual framework
: This paper addresses the challenge of enhancing social interaction through value-added connections among online community members engaged in knowledge exchange. We report on our ...
Albert A. Angehrn, Katrina Maxwell, Bertrand Seren...