This paper addresses two problems concerning the issue of redundant information in resolution based reasoning systems. The first one deals with the question, how the derivation of...
We consider the role played by the concept of action in AI. We first briefly summarize the advantages and limitations of past approaches to taking the concept as primitive, as emb...
Inducing disjunctive and iterative macro-operators from empirical problem-solving traces provides a more powerful knowledge compilation method than simple linear macro-operators. ...
Explanation-based generalization algorithms need to generalize the structure of their explanations. This is necessary in order to acquire concepts where a recursive or iterative p...
This paper presents an approach to temporal reasoning in which prediction is deduction but explanation is abduction. It is argued that all causal laws should be expressed in the n...
This paper describes DIDO, a system we have developed to carry out exploratory learning of unfamiliar domains without assistance from an external teacher. The program incorporates...
based on an abstract concept of quiescence. In the following we sketch this and a related model, describe the design of our experiments, and present the results of our simulation s...