This approach to task analysis includes descriptions of (1) inputs, outputs, and jobs; (2) flow of materials and decisions between jobs; (3) inputs, major tasks, and outputs of each job; (4) sequence of steps for major tasks; (5) heuristics/algorithms for each sequence step; and (6) information needed to use heuristics algorithms. (EAO)

A previously developed program for the HP-41C programmable calculator is extended to handle models of differential and difference equations with multiple eigenvalues. How to obtain difference equation solutions via the Z transform is described. (MNS)

Discussion of automated information services focuses on information classification and collaborative agents, i.e. intelligent computer programs. Highlights include multi-agent systems; distributed artificial intelligence; thesauri; document representation and classification; agent modeling; acquaintances, or remote agents discovered through…

Proposes local similarity pattern (LSP) as a new method for computing digital image similarity. Topics include optimizing similarity computation based on genetic algorithm; relevance feedback; and an evaluation of LSP on five databases that showed an increase in retrieval precision over other methods for computing image similarity. (Author/LRW)

Proposes an approach to incorporate term similarity and inverse document frequency into a logical model of information retrieval. Highlights include document representation and matching; incorporating term similarity into the measure of distance; new algorithms for implementation; inverse document frequency; and logical versus classical models of…

Discussion of knowledge management for electronic data focuses on creating a high quality similarity ranking algorithm. Topics include similarity ranking and unstructured data management; searching, categorization, and summarization of documents; query evaluation; considering sentences in addition to keywords; and vector models. (LRW)

Discusses the role of algorithms in the design of computer-assisted instruction (CAI). Structural and processing characteristics of algorithms are analyzed, instructional algorithms are explained, empirically based design rules are presented, and the use of instructional algorithms in artificial intelligence is described. (44 references) (LRW)

Describes a system that provides online access to holdings information for more than 4,500 journals on a single self-executing diskette. A brief discussion of data compression is offered, along with program listings in both BASIC and C. (MES)

Examines parallel computer architecture and the use of parallel processors for text. Topics discussed include parallel algorithms; performance evaluation; parallel information processing; parallel access methods for text; parallel and distributed information retrieval systems; parallel hardware for text; and network models for information…

Discussion of the failure of individual keywords to identify conceptual content of documents in retrieval systems highlights Metric Similarity Modeling, a method for creating vector space representation of documents based on modeling target interdocument similarity values. Semantic relatedness, latent semantic indexing, an indexing and retrieval…

Describes a new data compression technique that utilizes the common morphological structure of languages. Topics include classification of languages and their morphological structure; structured text compression; the algorithm and an example using Turkish; theoretical implications; and implementation. (LRW)

Discusses issues relevant to end users when choosing digital video technology. Topics addressed include Indeo video, an algorithm for the capture and compression of digital video; cross-platform capability; products from Intel, including possible future developments; and international standards for video. (LRW)

Presents a domain-specific thesaurus for linguistic support of an information broker that employs an adaptive semantic-distance function based on pathfinder networks and algorithms for automated population by nominal compound interpretation and relational inheritance. Mathematical structure of thesauri and issues for further research are also…

Considers the need for keyphrase-extraction techniques in intelligent Chinese information retrieval and presents a PAT-tree-based adaptive approach, developed from the PATRICIA Algorithm (Practical Algorithm to Retrieve Information Coded in Alphanumeric). Discusses Internet utilization, automatic term suggestion, domain-specific lexicon…

Presents a document-clustering algorithm that uses a term frequency vector for each document in a Japanese collection to produce a hierarchy in the form of a document classification tree. Introduces an application of this algorithm to a Japanese-to-English translation-aid system. (Author/LRW)