creators_name: Prince, Christopher G. creators_name: Mislivec, Eric J. type: confposter datestamp: 2001-11-27 lastmod: 2011-03-11 08:54:50 metadata_visibility: show title: Humanoid Theory Grounding ispublished: pub subjects: comp-sci-art-intel subjects: comp-sci-mach-vis subjects: dev-psy subjects: ling-comput subjects: phil-lang subjects: phil-mind full_text_status: public keywords: grounding, models of development, language acqisition, humanoid robotics abstract: In this paper we consider the importance of using a humanoid physical form for a certain proposed kind of robotics, that of theory grounding. Theory grounding involves grounding the theory skills and knowledge of an embodied artificially intelligent (AI) system by developing theory skills and knowledge from the bottom up. Theory grounding can potentially occur in a variety of domains, and the particular domain considered here is that of language. Language is taken to be another “problem space” in which a system can explore and discover solutions. We argue that because theory grounding necessitates robots experiencing domain information, certain behavioral-form aspects, such as abilities to socially smile, point, follow gaze, and generate manual gestures, are necessary for robots grounding a humanoid theory of language. date: 2001 date_type: published pagerange: 377-383 refereed: TRUE referencetext: [1]Mooney, R. J. (1993). Integrating theory and data in category learning. In: G. Nakamura, R. Taraban, & D. L. Medin (Eds.), Categorization by Humans and Machines: The Psycholology of Learning and Motivation, Vol. 29 (pp. 189-218). Orlando, FL: Academic Press. [2]Mitchell, T. M., Keller, R., & Kedar-Cabelli, S. (1986). Explanation-based generalization: A unifying view. Machine Learning, 1, 47-80. [3]McIlraith, S. & Amir, E. (2001). Theorem proving with structured theories. 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[Conference Poster] document_url: http://cogprints.org/1926/1/Humanoids%202001.doc document_url: http://cogprints.org/1926/5/Humanoids%202001.pdf