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AAAI
1996
15 years 7 months ago
Learning Efficient Rules by Maintaining the Explanation Structure
Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge wil...
Jihie Kim, Paul S. Rosenbloom
AAAI
1996
15 years 7 months ago
Easy and Hard Testbeds for Real-Time Search Algorithms
Although researchers have studied which factors influence the behavior of traditional search algorithms, currently not much is known about how domain properties influence the perf...
Sven Koenig, Reid G. Simmons
AAAI
1993
15 years 7 months ago
Scientific Model-Building as Search in Matrix Spaces
Many reported discovery systems build discrete models of hidden structure, properties, or processes in the diverse fields of biology, chemistry, and physics. We show that the sear...
Raúl E. Valdés-Pérez, Jan M. ...
140
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AAAI
1996
15 years 7 months ago
Planning to Gather Information
We describe Occam, a query planning algorithm that determines the best way to integrate data from dierent sources. As input, Occam takes a library of site descriptions and a user ...
Chung T. Kwok, Daniel S. Weld
174
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AAAI
1996
15 years 7 months ago
Scaling Up Explanation Generation: Large-Scale Knowledge Bases and Empirical Studies
To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
James C. Lester, Bruce W. Porter
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