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Harmon, Paul; Pipe, Peter – Performance and Instruction, 1986
Describes design and presents examples of industrial use of small expert systems and guidelines for choosing problems which lend themselves to small tool solutions. Use of microcomputer facilitated decision tables to diagnose and categorize people, things, and issues is suggested, and development of three decision table formats is described. (MBR)
Descriptors: Algorithms, Artificial Intelligence, Decision Making, Design
Peer reviewedSun, Wei; And Others – Journal of the American Society for Information Science, 1992
Identifies types and distributions of errors in text produced by optical character recognition (OCR) and proposes a process using machine learning techniques to recognize and correct errors in OCR texts. Results of experiments indicating that this strategy can reduce human interaction required for error correction are reported. (25 references)…
Descriptors: Artificial Intelligence, Automation, Character Recognition, Error Correction
Peer reviewedRestorick, F. Mark – Information Processing and Management, 1986
Examines novel computer filing systems which have particular application to office information storage and retrieval requirements. A variety of filing systems and their major characteristics are reviewed, ranging from network-based file servers to digital image storage and retrieval systems. Desirable characteristics of a modern electronic office…
Descriptors: Artificial Intelligence, Comparative Analysis, Database Management Systems, Databases
Peer reviewedKearsley, Greg – Machine-Mediated Learning, 1985
Describes three principal types of embedded training: help systems, simulations, and intelligent tutors. Implications of designing and implementing embedded training are discussed in terms of a set of propositions about the use of computers for learning. (Author/MBR)
Descriptors: Artificial Intelligence, Classification, Computer Assisted Instruction, Computer Simulation
Peer reviewedLangley, Pat – Cognitive Science, 1985
Examines processes by which general but weak search methods are transformed into powerful, domain-specific search strategies by classifying types of heuristics learning that can occur and components that contribute to such learning. A learning system--SAGE.2--and its structure, behavior in different domains, and future directions are explored. (36…
Descriptors: Artificial Intelligence, Computer Software, Design, Heuristics
Peer reviewedWitbrock, Michael J.; Hauptmann, Alexander G. – Journal of the American Society for Information Science, 1998
Production of the meta-data supporting the Informedia Digital Video Library interface is automated using techniques derived from artificial intelligence research. Speech recognition and natural-language processing, information retrieval, and image analysis are applied to produce an interface that helps users locate information and navigate more…
Descriptors: Artificial Intelligence, Audiotape Recordings, Computer Interfaces, Computer Software
Southern Univ. and Agricultural and Mechanical Coll., Baton Rouge, LA. – 1970
This is the final report of the Southern University Head Start Evaluation and Research Center. It is a statement of activities engaged in since September, 1969. Chapter I contains an introduction and a description of the centers. Chapter II presents evaluation guidelines, quality control information, evaluation design and description of evaluation…
Descriptors: Achievement Tests, Annual Reports, Behavior Change, Disadvantaged Youth


