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IJCAI
1993
13 years 5 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
IJCAI
1993
13 years 5 months ago
Orientation and Qualitative Angle for Spatial Reasoning
Though arrangement knowledge is well suited for qualitative representations of spatial situations, if we only use this kind of knowledge, we cannot do interesting inferences about...
Longin Jan Latecki, Ralf Röhrig
IJCAI
1993
13 years 5 months ago
Average-Case Analysis of a Nearest Neighbor Algorithm
In this paper we present an average-case analysis of the nearest neighbor algorithm, a simple induction method that has been studied by manyresearchers. Our analysis assumes a con...
Pat Langley, Wayne Iba
IJCAI
1993
13 years 5 months ago
A Representationalist Theory of Intention
Several formalizations of cognitive state that include intentions and beliefs based on normal modal logics (NMLs) have appeared in the recent literature. We argue that NMLs are no...
Kurt Konolige, Martha E. Pollack
IJCAI
1993
13 years 5 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
IJCAI
1993
13 years 5 months ago
Bottom-up Abduction by Model Generation
Katsumi Inoue, Yoshihiko Ohta, Ryuzo Hasegawa, Mak...
IJCAI
1993
13 years 5 months ago
Nonmonotonic Model Inference-A Formalization of Student Modeling
A student model description language and its synthesis method are presented. The language called SMDL is based on a logic programming language taking 4 truth values such as true, ...
Mitsuru Ikeda, Yasuyuki Kono, Riichiro Mizoguchi
IJCAI
1993
13 years 5 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...