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IJCAI
1997
15 years 7 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
IJCAI
1993
15 years 7 months ago
Statistical Foundations for Default Reasoning
We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
IJCAI
1993
15 years 7 months ago
Diagnosing and Solving Over-Determined Constraint Satisfaction Problems
Constraint relaxation is a frequently used technique for managing over-determined constraint satisfaction problems. A problem in constraint relaxation is the selection of the appr...
R. R. Bakker, F. Dikker, F. Tempelman, P. M. Wognu...
IJCAI
1993
15 years 7 months ago
An Approach to Analyzing the Need for Meta-Level Communication
This paper presents an analysis of static and dynamic organizational structures for naturally distributed, homogeneous, cooperative problem solving environments, exemplified by di...
Keith Decker, Victor R. Lesser
IJCAI
1993
15 years 7 months ago
Using Local Information in a Non-Local Way for Mapping Graph-Like Worlds
This paper describes a technique whereby an autonomous agent such as a mobile robot can explore an unknown environment and make a topologicalmapofit. It is assumedthat the environ...
Gregory Dudek, Paul Freedman, Souad Hadjres