Distributed problem solving approach to knowledge based sonar image interpretation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A modular knowledge-based system (KBS) architecture providing a suitable framework for the design and implementation of complex information processing systems is presented, and applied to the task of detecting objects and shadows in sector scan sonar imagery. The architecture has been derived from the conception of a blackboard system, where processing activity is organized to resemble a group of experts reading and writing on a globally accessible blackboard. The realization described here is cellular, such that increasing amounts of feedback within each module establishes a hierarchy of information processing units. Each module, or rational cell, contains a blackboard, an inference mechanism and a knowledge base, and can manipulate uncertain information and goals (or hypotheses) represented as symbols, propositions, numerical parameters, and two-dimensional images. Each of these types may be operated on by processes using rule-based or algorithmic expertise to provide competitive or cooperative support for the presence of a hypothesis. For initial experiments, three cells have been interconnected using a pipeline approach and three networked workstations.

Original languageEnglish
Title of host publicationProc 1988 IEEE Int Conf Syst Man Cybern
Pages654-657
Number of pages4
Publication statusPublished - 1988
EventProceedings of the 1988 International Conference on Systems, Man, and Cybernetics - Beijing/Shenyang, China
Duration: 8 Aug 198812 Aug 1988

Conference

ConferenceProceedings of the 1988 International Conference on Systems, Man, and Cybernetics
CityBeijing/Shenyang, China
Period8/08/8812/08/88

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information processing
sonar
sonar imagery
knowledge based system
experiment
parameter

Cite this

Lane, D. M. (1988). Distributed problem solving approach to knowledge based sonar image interpretation. In Proc 1988 IEEE Int Conf Syst Man Cybern (pp. 654-657)
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Lane, DM 1988, Distributed problem solving approach to knowledge based sonar image interpretation. in Proc 1988 IEEE Int Conf Syst Man Cybern. pp. 654-657, Proceedings of the 1988 International Conference on Systems, Man, and Cybernetics, Beijing/Shenyang, China, 8/08/88.

Distributed problem solving approach to knowledge based sonar image interpretation. / Lane, David M.

Proc 1988 IEEE Int Conf Syst Man Cybern. 1988. p. 654-657.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Distributed problem solving approach to knowledge based sonar image interpretation

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PY - 1988

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N2 - A modular knowledge-based system (KBS) architecture providing a suitable framework for the design and implementation of complex information processing systems is presented, and applied to the task of detecting objects and shadows in sector scan sonar imagery. The architecture has been derived from the conception of a blackboard system, where processing activity is organized to resemble a group of experts reading and writing on a globally accessible blackboard. The realization described here is cellular, such that increasing amounts of feedback within each module establishes a hierarchy of information processing units. Each module, or rational cell, contains a blackboard, an inference mechanism and a knowledge base, and can manipulate uncertain information and goals (or hypotheses) represented as symbols, propositions, numerical parameters, and two-dimensional images. Each of these types may be operated on by processes using rule-based or algorithmic expertise to provide competitive or cooperative support for the presence of a hypothesis. For initial experiments, three cells have been interconnected using a pipeline approach and three networked workstations.

AB - A modular knowledge-based system (KBS) architecture providing a suitable framework for the design and implementation of complex information processing systems is presented, and applied to the task of detecting objects and shadows in sector scan sonar imagery. The architecture has been derived from the conception of a blackboard system, where processing activity is organized to resemble a group of experts reading and writing on a globally accessible blackboard. The realization described here is cellular, such that increasing amounts of feedback within each module establishes a hierarchy of information processing units. Each module, or rational cell, contains a blackboard, an inference mechanism and a knowledge base, and can manipulate uncertain information and goals (or hypotheses) represented as symbols, propositions, numerical parameters, and two-dimensional images. Each of these types may be operated on by processes using rule-based or algorithmic expertise to provide competitive or cooperative support for the presence of a hypothesis. For initial experiments, three cells have been interconnected using a pipeline approach and three networked workstations.

M3 - Conference contribution

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Lane DM. Distributed problem solving approach to knowledge based sonar image interpretation. In Proc 1988 IEEE Int Conf Syst Man Cybern. 1988. p. 654-657