Journal Article10.1016/0166-3615(85)90003-X
A framework for artificial intelligence applications software development
B. Khoshnevis,Mark Chignell +1 more
3
TL;DR: A systematic program of knowledge compilation in artificial intelligence is proposed where extensible function libraries can be used by professionals in various fields and non-programming specialists in developing artificial intelligence applications.
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About: This article is published in Computers in Industry. The article was published on 01 Oct 1985. The article focuses on the topics: Marketing and artificial intelligence & Artificial intelligence, situated approach.
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Formalization and computer representation of organizing problems for purposes of computer-aided resolution
TL;DR: In this paper, the authors present principles of the formalization of the organization theory in the form of a mathematical theory of some class problems, and the axioms of the theory are given, describing the fundamental conditions which have to be satisfied by each plan of aimed activity.
3
Review: Development of soft computing and applications in agricultural and biological engineering
TL;DR: With the concepts and methods, applications of soft computing in the field of agricultural and biological engineering are presented, especially in the soil and water context for crop management and decision support in precision agriculture.
References
Some studies in machine learning using the game of checkers
TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
•Book
Problem-Solving Methods in Artificial Intelligence
Nils J. Nilsson
- 01 Jan 1971
TL;DR: This paper will concern you to try reading problem solving methods in artificial intelligence as one of the reading material to finish quickly.
1.7K
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
TL;DR: The characteristics of the speech problem in particular, the special kinds of problem-solving uncertainty in that domain, the structure of the Hearsay-II system developed to cope with that uncertainty, and the relationship between Hearsey-II's structure and those of other speech-understanding systems are discussed.