A study of emergent computation of life-like behavior by indefinite observation

Michita Imai, Tsutomu Miyasato

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

Abstract

This paper describes the action generation of an autonomous animated agent. The agent behaves as if it has subjective motivation that is affected by its experiences. A typical study of this generation uses an ad-hoc method for the subjective action because it focuses on the action selection to solve some task. This paper proposes an indefinite communication architecture (ICA) to generate a subjective action. ICA keeps the experiences of an agent using indefinite observation. In particular, since the indefinite observation gives some chaotic feature to the experience, ICA generates various actions in response to an environment. This paper simulates and discusses the behavior of ICA in our interactive system.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages370-385
Number of pages16
Volume1554
ISBN (Print)3540657622, 9783540657620
DOIs
Publication statusPublished - 1999
Externally publishedYes
Event1st International Conference on Advanced Multimedia Content Processing, AMCP 1998 - Osaka, Japan
Duration: 1998 Nov 91998 Nov 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1554
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Conference on Advanced Multimedia Content Processing, AMCP 1998
CountryJapan
CityOsaka
Period98/11/998/11/11

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Keywords

  • Autonomous agent
  • Emergent computation
  • Indefinite observation
  • Life-like behavior
  • Subjective experience

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Imai, M., & Miyasato, T. (1999). A study of emergent computation of life-like behavior by indefinite observation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1554, pp. 370-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1554). Springer Verlag. https://doi.org/10.1007/3-540-48962-2_25