BN+BN: Behavior network with bayesian network for intelligent agent

Kyung Joong Kim, Sung Bae Cho

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

1 Citation (Scopus)

Abstract

In the philosophy of behavior-based robotics, design of complex behavior needs the interaction of basic behaviors that are easily implemented. Action selection mechanism selects the most appropriate behavior among them to achieve goals of robot. Usually, robot might have one or more goals that conflict each other and needs a mechanism to coordinate them. Bayesian network represents the dependencies among variables with directed acyclic graph and infers posterior probability using prior knowledge. This paper proposes a method to improve behavior network, action selection mechanism that uses the graph of behaviors, goals and sensors with activation spreading, using goal inference mechanism of Bayesian network learned automatically. Experimental results on Khepera mobile robot show that the proposed method can generate more appropriate behaviors.

Original languageEnglish
Title of host publicationAI 2003
Subtitle of host publicationAdvances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings
EditorsTamas D. Gedeon, Lance Chun Che Fung, Tamas D. Gedeon
PublisherSpringer Verlag
Pages979-991
Number of pages13
ISBN (Print)9783540206460
DOIs
Publication statusPublished - 2003 Jan 1
Event16th Australian Conference on Artificial Intelligence, AI 2003 - Perth, Australia
Duration: 2003 Dec 32003 Dec 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2903
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Australian Conference on Artificial Intelligence, AI 2003
CountryAustralia
CityPerth
Period03/12/303/12/5

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, K. J., & Cho, S. B. (2003). BN+BN: Behavior network with bayesian network for intelligent agent. In T. D. Gedeon, L. C. C. Fung, & T. D. Gedeon (Eds.), AI 2003: Advances in Artificial Intelligence - 16th Australian Conference on AI, Proceedings (pp. 979-991). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2903). Springer Verlag. https://doi.org/10.1007/978-3-540-24581-0_84