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Learning to Understand by Evolving Theories

  • In this paper, we describe an approach that enables an autonomous system to infer the semantics of a command (i.e. a symbol sequence representing an action) in terms of the relations between changes in the observations and the action instances. We present a method of how to induce a theory (i.e. a semantic description) of the meaning of a command in terms of a minimal set of background knowledge. The only thing we have is a sequence of observations from which we extract what kinds of effects were caused by performing the command. This way, we yield a description of the semantics of the action and, hence, a definition.

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Metadaten
Document Type:Preprint
Language:English
Author:Martin E. Müller, Madhura D. Thosar
ArXiv Id:http://arxiv.org/abs/1307.7303
Publisher:arXiv
Date of first publication:2013/07/27
Note:
KRR Workshop at ICLP 2013
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02