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ROBOCUP
2005
Springer
134views Robotics» more  ROBOCUP 2005»
14 years 3 months ago
Simultaneous Learning to Acquire Competitive Behaviors in Multi-agent System Based on Modular Learning System
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
Yasutake Takahashi, Kazuhiro Edazawa, Kentarou Nom...
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 11 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
DATESO
2009
109views Database» more  DATESO 2009»
13 years 7 months ago
Various aspects of user preference learning and recommender systems
In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will comp...
Alan Eckhardt
ATAL
2007
Springer
14 years 4 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak
IUI
2003
ACM
14 years 3 months ago
MovieLens unplugged: experiences with an occasionally connected recommender system
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same impact on the way people shop in stores. We present o...
Bradley N. Miller, Istvan Albert, Shyong K. Lam, J...