Showing papers on "Knowledge acquisition published in 1977"

Knowledge acquisition from structural descriptions

Abstract: : The representation of concepts and antecedent-consequent productions is discussed and a method for inducing knowledge by abstracting such representations from a sequence of training examples is described. The proposed learning method, interference matching, induces abstractions by finding relational properties common to two or more exemplars. Three tasks solved by a program which performs an interference matching algorithm are presented. Several problems concerning the relational representation of examples and the induction of knowledge by interference matching are also discussed.

Knowledge acquisition in rule-based systems: knowledge about representation as a basis for system construction and maintenance

Abstract: Recent research efforts aimed at task-oriented systems have emphasized the importance of large stores of domainspecific knowledge as a basis for high performance. But assembling the required knowledge base is a difficult task that often extends over several years, and involves numerous modifications to the knowledge base. Given the difficulty of making even srnall changes to a program, this presents a challenging problem in system construction.

A review of knowledge based problem solving as a basis for a genetics experiment designing system

Abstract: It is generally accepted that problem solving systems require a wealth of domain specific knowledge for effective performance in complex domains. This report takes the view that all domain specific knowledge should be expressed in a knowledge base. With this in mind, the ideas and techniques from problem solving and knowledge base research are reviewed and outstandlng problems are identified. Finally, a task domain is characterized in terms of objects, actions, and control/strategy knowledge and suggestions are made for creating a uniform knowledge base management system to be used for knowledge acquisition, problem solving, and explanation.