Full-text

URL: http://www.bdc.brain.riken.go.jp/publica...ita_tani_SAB2004.pdf

Cached: PDF-292K

SAVE AS an easy-to-recall long filename:

Filename format: author--year--title   PDF-292K

Filename format: author--year--title--journal|proceedings|...--pages   PDF-292K

Related links

Source: http://www.bdc.brain.riken.go.jp/publications/

Web search: Google Web Search   ::   Google Scholar

Within this site: Cited by (1)    References (23)

Abstract

We focus on the ``compositionality'' of semantics, a fundamental characteristic of human language, which is the ability to understand the meaning of a sentence as a combination of the meanings of words. We also pay much attention to the ``embodiment'' of a robot, which means that the robot should acquire semantics which matches its body, or sensory-motor system. The essential claim is that an embodied compositional semantic representation can be self-organized from generalized correspondences between sentences and behavioral patterns. This claim is examined and confirmed through simple experiments in which a robot generates corresponding behaviors from unlearned sentences by analogy with the correspondences between learned sentences and behaviors.

@inproceedings{sugita04SAB,
  author={Yuuya Sugita and Jun Tani},
  title={A Connectionist Approach to Learn Association between Sentences and Behavioral Patterns of a Robot},
  year={2004},
  pages={467-476},
  booktitle={SAB04},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/sugita04SAB.html}
}

HOME   ::  Conference List   ::   Conference Paper	Comments to: junwang4 you-know-at gmail.com	Last update: 2/2/08