Discusses computational studies of learning in artificial neural networks and findings that may provide insights into the learning abilities of the human brain. Describes efforts to test theories about brain information processing, using artificial neural networks. Vignettes include information concerning how a neural network represents…

This paper discusses the theoretical problem of matching and abstraction of concepts as the processes occur in human minds, and the structures used to represent these processes for use in automated, knowledge based systems. A basic premise of the paper is that hierarchies play a crucial role in structuring knowledge and in solving problems. Data…

Summarizes the key research issues and developments in cognitive science, especially with respect to the similarities, differences, and interrelationships between human and machine information processing. Nine references are listed. (JL)

Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…

Reviews developments in research on information storage and retrieval, question-answering and natural language interface online systems, and the processes of synthesis and interpretation in intelligent behavior. Problem formulation, information requests, and knowledge representation are discussed in relation to the design and use of retrieval…

This paper reviews current models of problem solving to identify results relevant to teachers or instructional developers. Four areas are covered: information processing models, approaches stressing human abilities and factors, creative problem solving models, and other aspects of problem solving. Part of a theme issue on intelligence. (Author/SJL)

Described are the historical uses and research involving the discipline of artifical intelligence. Topics discussed include: symbol manipulation; knowledge engineering; cognitive modeling; and language, vision and robotics. (Author/DS)

The cognitive revolution began in the 1950s as researchers began to move away from the study of knowledge acquisition and behaviorism to the study of information and the way it is processed. Four factors are discussed in chapter 1 as contributing to the increase in popularity of the "cognitive revolution" (increasing enthusiasm for the…

Reviews the literature on legal information systems/CALR (computer-assisted legal research) and law office automation, including legal expert systems and information technology applications relevant to legal education and courts. The new phenomenon of Internet use in the field of law is also discussed. Contains 128 references. (AEF)