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FLAIRS
2011
14 years 7 months ago
Learning Opponent Strategies through First Order Induction
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this p...
Katie Long Genter, Santiago Ontañón,...
SBP
2011
Springer
14 years 6 months ago
Consumer Search, Rationing Rules, and the Consequence for Competition
Abstract. Firms’ conjectures about demand are consequential in oligopoly games. Through agent-based modeling of consumers’ search for products, we can study the rationing of de...
Christopher S. Ruebeck
CIKM
1997
Springer
15 years 8 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
AIML
2004
15 years 5 months ago
On the Modularity of Theories
In this paper we give the notion of modularity of a theory and analyze some of its properties, especially for the case of action theories in reasoning about actions. We propose alg...
Andreas Herzig, Ivan José Varzinczak
ATAL
2010
Springer
15 years 5 months ago
On the limits of dictatorial classification
In the strategyproof classification setting, a set of labeled examples is partitioned among multiple agents. Given the reported labels, an optimal classification mechanism returns...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...