Title

Autonomous Search For Information In An Unknown Environment

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 spatio-temporal 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.

Publication Date

1-1-1999

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

1652

Number of Pages

47-60

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/3-540-48414-0_3

Socpus ID

84860059055 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84860059055

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