This manual is intended to be a guide to the philosophy and use of the programming language CONNIVER, which is "complete," and running at the AI Lab now. It assumes good knowledge of LISP, but no knowledge of Micro-Planner, in…

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The theory of motion in Ibn Bajjah's philosophy is studied in this dissertation from three aspects: physical, psychical and metaphysical. Aside from the introduction the dissertation is divided into three major chapters corresponding to these three aspects. Ibn Bajjah's theory…

The cellular control of calcium and phosphate is still confusing and controversial. The reviewer has tried to put useful hypotheses and existing knowledge into a more or less unified theory like all theories based on rational hypothesis this review may…

We have developed a method and prototype program for assisting two experts in their attempts to construct a single, consensus knowledge base. We show that consensus building can be effectively facilitated by a debugging approach that identifies, explains, and resolves…

This paper examines the issues and the solutions that have been studied in database (DB) integration research and tries to draw lessons from them for knowledge base (KB) integration.

This paper deals with the "Calculus of Knowledge", an extension of the propositional calculus in which one may reason about what other people know. Semantic and Syntactic systems are developed, certain theorems are proven, and a formal solution in the…

This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence is based on the ability to use large amounts…

Trying to capture intuitive knowledge is a little like trying to capture the moment between what just happened and what is about to happen. Or to quote a famous philosopher, "You can't put your foot in the same river once."…

This paper analyzes the suitability of reinforcement learning (RL) for both programming and adapting situated agents. We discuss two RL algorithms: Q-learning and the Bucket Brigade. We introduce a special case of the Bucket Brigade, and analyze and compare its…