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Issue 5 • Oct. 1993

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Displaying Results 1 - 7 of 7
  • Test and evaluation by genetic algorithms

    Publication Year: 1993, Page(s):9 - 14
    Cited by:  Papers (15)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (635 KB)

    A machine learning technique for automating the traditional controller tests process that evaluates autonomous-vehicle software controllers is discussed. In the proposed technique, a controller is subjected to an adaptively chosen set of fault scenarios in a vehicle simulator, and then a genetic algorithm is used to search for fault combinations that produce noteworthy actions in the controller. T... View full abstract»

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  • Managing genetic search in job shop scheduling

    Publication Year: 1993, Page(s):15 - 24
    Cited by:  Papers (35)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1376 KB)

    The Vanderbilt Schedule Optimizer Prototype (VSOP), which uses genetic algorithms as search methods for job shop scheduling problems, is discussed. A job shop is a facility that produces goods according to prespecified process plans, under several domain-dependent and common sense constraints. The scheduling of orders in a job shop is a multifaceted problem. VSOP uses domain-specific chromosome re... View full abstract»

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  • Training product unit neural networks with genetic algorithms

    Publication Year: 1993, Page(s):26 - 33
    Cited by:  Papers (55)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1316 KB)

    Product unit neural networks are useful because they can handle higher order combinations of inputs. When trained using traditional backpropagation, however, they are often susceptible to local minima. The use of genetic algorithm exploratory procedures that can often locate near-optimal solutions to complex problems to overcome this, is discussed. The genetic algorithm maintains a set of trial so... View full abstract»

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  • Knowledge-based document filing

    Publication Year: 1993, Page(s):34 - 45
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2011 KB)

    The Kabiria document management system, which represents the knowledge needed by document producers and users as a component of document semantics, is discussed. Kabiria supports the classification, filing, and retrieval of office documents through three levels of knowledge representation: a static level, bound to the structure and textual content of documents; a procedural level, related to the o... View full abstract»

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  • A unified approach to automatic indexing and information retrieval

    Publication Year: 1993, Page(s):46 - 56
    Cited by:  Papers (7)  |  Patents (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1597 KB)

    WorldViews, an experimental system that unites as many aspects of information organization as possible around a simple, familiar, yet versatile knowledge representation framework, is discussed. This framework is a lattice-structured version of the traditional thesaurus. WorldViews focuses on the unified use of the thesaurus to automatically index and retrieve information. The performance of the Wo... View full abstract»

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  • A supervision support system for industrial processes

    Publication Year: 1993, Page(s):57 - 65
    Cited by:  Papers (4)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1575 KB)

    The Diapason system, which is designed to aid the supervision of continuous processes that evolve with slow dynamics, such as those used for reprocessing nuclear fuels, is discussed. The system presents operators with a synthetic image of the process, which is modeled using qualitative physics and process control theory. Diapason has modules for prediction, defect diagnosis, and fault diagnosis. B... View full abstract»

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  • Formal minds and biological brains: AI and Edelman's extended theory of neuronal group selection

    Publication Year: 1993, Page(s):66 - 75
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1187 KB)

    The author explores Gerald Edelman's work (G.M. Edelman, 1987; 1988; 1989; 1992) against the background of pertinent problems in artificial intelligence (AI): the traditional symbol manipulation paradigm, and other well-known developments such as Soar, the so-called new AI, connectionism, and genetic algorithms. Intelligence and symbol manipulation, Edelman's neural group selection theory, its ext... View full abstract»

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Aims & Scope

This Periodical ceased production in 1997. The current retitled publication is IEEE Intelligent Systems.

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