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AAAI
2010
13 years 5 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen
ATAL
2006
Springer
13 years 11 months ago
Agent-community based peer-to-peer information retrieval: an evaluation
The Agent-Community-based Peer-to-Peer Information Retrieval (ACP2P) method uses agent communities to manage and look up information of interest to users. An agent works as a dele...
Tsunenori Mine, Akihiro Kogo, Makoto Amamiya
ATAL
1999
Springer
13 years 12 months ago
Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS
We propose a methodology that can be used to compare and evaluate Artificial Intelligence architectures and is motivated by fundamental properties required by general intelligent ...
Scott A. Wallace, John E. Laird
CAEPIA
2011
Springer
12 years 7 months ago
Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Javier Insa-Cabrera, David L. Dowe, José He...
AP2PC
2005
Springer
14 years 1 months ago
ACP2P: Agent-Community-based Peer-to-Peer Information Retrieval - an Evaluation
Abstract. The Agent-Community-based Peer-to-Peer Information Retrieval (ACP2P) method[1],[2] uses agent communities to manage and look up information of interest tousers. An agent ...
Tsunenori Mine, Akihiro Kogo, Makoto Amamiya