Distributed cooperative systems with human operator-in-the-loop

Pavlo A. Krokhmal, David E. Jeffcoat

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We study the evolution of distributed multi-agent search systems where the autonomous agents may cooperate among each other, and/or with a human operator, in order to achieve the system's objective. The cooperation is facilitated by means of information sharing among the autonomous agents and/or human operator, which has the purpose of improving the effectiveness of the autonomous agents. The evolution of cooperative systems is modeled using discrete-state, continuous-time Markov chains, and a technique for measuring and quantification of cooperation within such systems is proposed.

Original languageEnglish (US)
Title of host publicationAdvances in Cooperative Control and Optimization
Subtitle of host publicationProceedings of the 7th International Conference on Cooperative Control and Optimization
EditorsMichael J. Hirsch, Panos M. Pardalos, Robert Murphey, Don Grundel
Pages293-310
Number of pages18
DOIs
StatePublished - 2007
Externally publishedYes

Publication series

NameLecture Notes in Control and Information Sciences
Volume369
ISSN (Print)0170-8643

Keywords

  • Cooperation
  • Markov chains
  • Target detection

ASJC Scopus subject areas

  • Library and Information Sciences

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