In this article, the author challenges the validity and usefulness of the concept of "paradigm," as this term has been used in the social sciences generally, and specifically in the debates over research methods. He emphasizes that in criticizing what he sees as the misuse of the paradigm concept, he is not arguing for dismissing or ignoring…

Reviews the problems of classifying gaming techniques and suggests a heuristic approach as one solution. Definitions of simulation, models, role, and game and play are discussed to help develop a classification based on a technique called gaming simulation. (Author/LRW)

The purpose of this evaluation of DEMOS, a system for decision modeling and uncertainty analysis, was to identify some generic issues of interest in the design of such information systems, obtain insights about the causes of problems in their use, and to suggest hypotheses about how to deal with them. (EM)

This article discusses problem solving and how science educators can integrate problem solving into their instruction. The Search, Solve, Create, and Share (SSCS) model was developed based on the findings of problem solving research. (YP)

This report describes the application of a shell expert system from the medical diagnostic system, Neomycin, to Caster, a diagnostic system for malfunctions in industrial sandcasting. This system was developed to test the hypothesis that starting with a well-developed classification procedure and a relational language for stating the…

Discusses possibility of using expert systems to develop new model in cataloging theory made necessary by technological progress, rising user expectations, and economic pressures. A data structure for bibliographic information required by Anglo American Cataloging Rules, 2nd edition, (AACR2) is suggested, and possible heuristics for interpreting…

This paper discusses the incorporation of heuristics in computerized decision aids that are used for structuring decision problems. Decision theory is described in terms of linked subsystems, and sites where it is necessary to employ heuristic rather than normative, algorithmic procedures are identified. Production systems are then used to…

Cognitive science is briefly reviewed, and its implications for instructional design are discussed. The application of cognitive science to instruction requires knowledge of cognitive science, the subject content taught, and the system in which the instruction is imbedded. The central concept of cognitive science is mental representation--the…

MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns and user interests and preferences during system usage, it customizes document retrievals for…

Reviews approaches to machine learning (development of techniques to automate acquisition of new information, skills, and ways of organizing existing information) in symbolic domains. Four categorical tasks addressed in machine learning literature are examined: learning from examples, learning search heuristics, learning by observation, and…

The purposes of this study were to describe and define nonschool education according to curricular elements, suggest relationships between school and museum curricular elements and perspectives, and construct a heuristic device for curriculum elements and perspectives that will guide further study. Using a curricular model from "A Study of…

Introduces some general concepts and techniques of artificial intelligence (natural language interfaces, expert systems, knowledge bases and knowledge representation, heuristics, user-interface metaphors, and object-based environments) and investigates ways these techniques might be applied to analysis, design, development, implementation, and…

A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic…

Reacts to Ohlsson, Ernst, and Rees' paper by initially discussing the costs of methodology that utilizes artificial intelligence (AI) to model cognitive processes. Raises three concerns with the paper: insufficient clarification of the meaning of conceptual versus procedural understanding of base-10 subtraction; realism of the learning model; and…

Describes a deterministic computer model that incorporates: (1) initial framework composition; (2) abrasion factors for quartz, feldspar, and rock fragments; and (3) a fragmentation ratio for rock fragments to simulate the recycling of coastal sands by rivers and beaches. (TW)