This report outlines the accomplishments of the LOGO project of the Massachusetts Institute of Technology's Artificial Intelligence Laboratory during the period 1973-1975. Three major areas of work are listed: (1) building learning environments, (2) the theory behind the environments, and (3) experimenting with learning environments. Advances in…

Describes a program for understanding and generating natural language which handles paragraph-length imput. Its core, "preference semantics," a system of preferential choice between deep semantic patterns, is contrasted with: (1) syntax-oriented linguistic approaches, and (2) theorem-proving approaches to understanding. Available from…

Describes the philosophy of intelligent instructional systems and presents an example of such a system, BLOCKS. The notion of BLOCKS as a paradigmatic system is explicated from both the system development and educational points of view. (Author/VT)

Discusses the overlap of research in artificial intelligence and information retrieval, focusing on the papers included in this special issue of Information Processing and Management. Highlights include the emphasis on evaluation and testing in prior research and use of manual and automatic indexing, expert systems, knowledge representation, and…

Reviews different structures and techniques of knowledge representation: structure of database records and files, data structures in computer programming, syntatic and semantic structure of natural language, knowledge representation in artificial intelligence, and models of human memory. A prototype expert system that makes use of some of these…

Discusses the need for knowledge gateway systems to provide access to scattered information and the use of technologies in gateway building, including artificial intelligence and expert systems, networking, online retrieval systems, optical storage, and natural language processing. The status of four existing gateways is described. (20 references)…

Discusses the need for experimental studies with realistic test collections to determine the applicability of advanced information storage and retrieval techniques. The results of studies that compared user reactions to Boolean, extended Boolean, vector, and vector with probabilistic feedback approaches are described. (42 references) (CLB)

Briefly describes the current status of artificial intelligence and expert systems, and explores the possible applications in libraries and information centers. The implications for reference services, classification and cataloging processes, and assistance to patrons desiring in-depth reading of an area of knowledge are discussed. (4 references)…

Describes a parsing program called "Analyzing Language" (AL). The Augmented Transition Network was modified to incorporate case grammar analysis. Turbo PASCAL is the program's language. (Author/LMO)

Describes the development of an artificial intelligence system called GIDE that analyzes student errors in statistics problems by inferring the students' intentions. Learning strategies involved in problem solving are discussed and the inclusion of goal structures is explained. (LRW)

A pilot test study of an expert systems approach to university enrollment management, specifically admissions decisions, was conducted at Northeastern University. Other potential uses for expert systems in enrollment management are suggested. (Author/MLW)

Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…

Describes and outlines the general syllabus of a philosophy course entitled, "Minds and Robots." Lists the assigned readings and explains the issues addressed in the 14-week course. Essay questions that are used for the mid-term and final exams are also included. (ML)

Annotates reference material on artificial intelligence, mostly at an introductory level, with applications to education and learning. Topics include: (1) programing languages; (2) expert systems; (3) language instruction; (4) tutoring systems; and (5) problem solving and reasoning. (JM)

Describes a programming environment called Tinker, in which a beginning programmer presents examples to the machine, distinguishing accidental and essential aspects of the examples. Examples of programming in Tinker are presented in which programmers demonstrate how to handle specific examples and the machine formulates a procedure for handling…