Flexible optimization and evolution of underwater autonomous agents

E. Eberbach, R. Brooks, S. Phoha

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

7 Scopus citations

Abstract

The “Ocean SAmpling MObile Network” (SAMON) Project is a simulation testbed for Web-based interaction among oceanographers and simulation based design of Ocean Sampling missions. In this paper, the current implementation of SAMON is presented, along with a formal model based on process algebra. Flexible optimization handles planning, mobility, evolution, and learning. A generic behavior message-passing language is developed for communication and knowledge representation among heterogeneous Autonomous Undersea Vehicles (AUV's). The process algebra subsumed in this language expresses a generalized optimization framework that contains genetic algorithms, and neural networks as limiting cases.

Original languageEnglish (US)
Title of host publicationNew Directions in Rough Sets, Data Mining, and Granular-Soft Computing - 7th International Workshop, RSFDGrC 1999, Proceedings
EditorsSetsuo Ohsuga, Ning Zhong, Andrzej Skowron
PublisherSpringer Verlag
Pages519-527
Number of pages9
ISBN (Print)3540666451, 9783540666455
DOIs
StatePublished - 1999
Event7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999 - Yamaguchi, Japan
Duration: Nov 9 1999Nov 11 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1711
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC 1999
CountryJapan
CityYamaguchi
Period11/9/9911/11/99

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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