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129
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ATAL
2010
Springer
15 years 4 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
135
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RAS
1998
81views more  RAS 1998»
15 years 3 months ago
Towards a theory of delegation for agent-based systems
In this paper a theory of delegation is presented. There are at least three reasons for developing such a theory. First, one of the most relevant notions of "agent" is b...
Cristiano Castelfranchi, Rino Falcone
176
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NMR
2004
Springer
15 years 9 months ago
A first approach to argument-based recommender systems based on defeasible logic programming
Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender ...
Carlos Iván Chesñevar, Ana Gabriela ...
127
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KDD
1997
ACM
122views Data Mining» more  KDD 1997»
15 years 7 months ago
KDD Process Planning
KDD (Knowledge Discovery in Databases) processhas become a new and important research area. Within the framework of KDD process and the GLS (Global Learning Scheme) system recentl...
Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Set...
132
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AAAI
2010
15 years 5 months ago
A Restriction of Extended Resolution for Clause Learning SAT Solvers
Modern complete SAT solvers almost uniformly implement variations of the clause learning framework introduced by Grasp and Chaff. The success of these solvers has been theoretical...
Gilles Audemard, George Katsirelos, Laurent Simon