The ultimate goal of work in cognitive architecture is to provide the foundation for a system capable of general intelligent behavior. That is, the goal is to provide the underlying …
Most artificial intelligence research investigates intelligent behavior for a single agent-- solving problems heuristically, understanding natural language, and so on. Distributed …
ML Ginsberg - Computational intelligence, 1988 - Wiley Online Library
This paper describes a uniform formalization of much of the current work in artificial intelligence on inference systems. We show that many of these systems, including first‐order …
A broad range of well-structured problems—embracing forms of diagnosis, catalog selection, and skeletal planning—are solved in 'expert systems' by the methods of heuristic …
ML Ginsberg - Artificial intelligence, 1986 - Elsevier
Counterfactuals are a form of common-sense nonmonotonic inference that has been of long- term interest to philosophers. In this paper, we begin by describing some of the impact …
A fundamental computational limit on automated reasoning and its effect on knowledge representation is examined. Basically, the problem is that it can be more difficult to reason …
This survey of intelligent tutoring systems describes the components of these systems, different teaching scenarios, and the relation of these systems to a theory of instruction. It …
Research in discourse analysis, story understanding, and user modeling for expert systems has shown great interest in plan recognition problems. In a plan recognition problem, one is …
D McDermott - Computational intelligence, 1987 - 176.9.41.242
In 1978, Patrick Hayes promulgated the Naive Physics Man-ifesto.(It finally appeared as an “official” publication in Hobbs and Moore 1985.) In this paper, he proposed that an allout …