Generating diverse behaviors of evolutionary robots with speciation for theory of mind

Si Hyuk Yi, Sung Bae Cho

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

Abstract

Theory of Mind (ToM) is the ability to read another person's mind. To apply ToM in robots, robot should read the intention from target. However, it is difficult to read target's intention directly. Robot uses the sensors to measure distance from target because distance is the feature to read target's intention. Neural network has been widely used to control the robot for generating a diverse speciation. It has been less explored in behavior-based robotics. Speciation usually relies on a distance measure that allows different from the robot to target to be compared. In this paper, we proposed novel measure to generate diverse behaviors of a robot with speciation for ToM. It includes some distance measure such as Euclidean distance, cosine distance, arctangent distance, and edit distance. It generates diverse behaviors of the robot by neural network for ToM. The proposed method has been experimented on a real e-puck robot platform.

Original languageEnglish
Title of host publicationSimulated Evolution and Learning - 9th International Conference, SEAL 2012, Proceedings
Pages491-500
Number of pages10
DOIs
Publication statusPublished - 2012 Dec 26
Event9th International Conference on Simulated Evolution and Learning, SEAL 2012 - Hanoi, Viet Nam
Duration: 2012 Dec 162012 Dec 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7673 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Simulated Evolution and Learning, SEAL 2012
CountryViet Nam
CityHanoi
Period12/12/1612/12/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Yi, S. H., & Cho, S. B. (2012). Generating diverse behaviors of evolutionary robots with speciation for theory of mind. In Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Proceedings (pp. 491-500). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7673 LNCS). https://doi.org/10.1007/978-3-642-34859-4_49