Autonomous search for information in an unknown environment

    Authors

    E. Gelenbe

    Comments

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    Keywords

    Computer Science, Artificial Intelligence; Computer Science, Information; Systems

    Abstract

    The search for information in a complex information space such as the Web or large digital libraries, or in an unkown robotics environment - requires the design of efficient and intelligent strategies for (1) determining regions of interest, (2) detecting and classifying information of interest, and (3) searching the space by autonomous agents. This paper discusses strategies for directing autonomous search based on spatiotemporal distributions. We discuss a model for search assuming that the environment is static, and where the information that agents have is updated as they pursue their discovery of the environment. Autonomous search algorithms are designed and compared using simulations.

    Journal Title

    Cooperative Information Agents Iii, Proceedings

    Volume

    1652

    Publication Date

    1-1-1999

    Document Type

    Article

    Language

    English

    First Page

    47

    Last Page

    60

    WOS Identifier

    WOS:000088970300003

    ISSN

    0302-9743; 3-540-66325-8

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