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AAAI
1996
14 years 29 days ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
AAAI
1994
14 years 29 days ago
Exploiting Meta-Level information in a Distributed Scheduling System
In this paper, we study the problem of achieving efficient interaction in a distributed scheduling system whose scheduling agents may borrow resources from one another. Specifical...
Daniel E. Neiman, David W. Hildum, Victor R. Lesse...
AAAI
1994
14 years 29 days ago
Representing Multiple Theories
Most Artificial Intelligence programs lack generality because they reason with a single domain theory that is tailored for a specific task and embodies a host of implicit assumpti...
P. Pandurang Nayak
AAAI
1994
14 years 29 days ago
A Prototype Reading Coach that Listens
ing with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. The following notice...
Jack Mostow, Steven F. Roth, Alexander G. Hauptman...
AAAI
1996
14 years 29 days ago
What Is Planning in the Presence of Sensing?
The Airport Example The Omelette Example Copyright c 1996 American Association for Artificial Intelligence. All rights reserved. Despite the existence of programs that are able to ...
Hector J. Levesque
AAAI
1994
14 years 29 days ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
AAAI
1996
14 years 29 days 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
AAAI
1994
14 years 29 days ago
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
Steven Minton, Ian Underwood
AAAI
1996
14 years 29 days 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