Architecture and applications of language-centered intelligence for unmanned underwater vehicles

Nicodemus Hallin, Hossein Taheri, Justin Horn, Michael O'Rourke, Dean Edwards

Research output: Contribution to book or proceedingConference articlepeer-review

4 Scopus citations

Abstract

Language-Centered Intelligence (LCI) is an approach to artificial intelligence currently under development at the University of Idaho. In this approach, the existing intervehicle communication language and associated logics are harnessed for parallel use to enable more advanced cognitive abilities, such as anticipation and hypothetical reasoning, and expand the behavioral repertoire of unmanned underwater vehicles (UUVs). We begin with a brief background of relevant UUV research and continue by defining LCI. Next, we propose an architecture for LCI and describe a few applications of LCI to collaborative UUV behaviors. Here, we detail the three primary sub-modules of LCI, namely, the Look-Ahead Inspections Module, the Imagination Replacement Approach, and the newly-proposed Message Anticipation Module (MAM). We conclude that the LCI approach represents a sophisticated extension of cognition in artificial agents and systems that use language to communicate.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest
Pages3130-3136
Number of pages7
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Anchorage, AK, United States
Duration: Oct 9 2011Oct 12 2011

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011
Country/TerritoryUnited States
CityAnchorage, AK
Period10/9/1110/12/11

Keywords

  • artificial intelligence
  • cognition
  • linguistic communication
  • multiagent systems

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