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» Learning Influence Probabilities In Social Networks
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JAIR
2008
157views more  JAIR 2008»
13 years 7 months ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
ICSE
2012
IEEE-ACM
11 years 9 months ago
Continuous social screencasting to facilitate software tool discovery
—The wide variety of software development tools available today have a great potential to improve the way developers make software, but that potential goes unfulfilled when deve...
Emerson R. Murphy-Hill
AI
2010
Springer
13 years 5 months ago
Agent decision-making in open mixed networks
Computer systems increasingly carry out tasks in mixed networks, that is in group settings in which they interact both with other computer systems and with people. Participants in...
Ya'akov Gal, Barbara J. Grosz, Sarit Kraus, Avi Pf...
CASON
2009
IEEE
14 years 2 months ago
Social Network - An Autonomous System Designed for Radio Recommendation
This paper describes the functions of a system proposed for the music tube recommendation from social network data base. Such a system enables the automatic collection, evaluation...
Grzegorz Dziczkowski, Lamine Bougueroua, Katarzyna...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 8 months ago
How social structure and institutional order co-evolve beyond instrumental rationality
This study proposes an agent-based model where adaptively learning agents with local vision who are situated in the Prisoner’s Dilemma game change their strategy and location as...
Jae-Woo Kim