Subject: Inductive Logic Programming, Reasoning by Analogy, Learning in Embodied Systems
Year: 2010
Type: Article
Title: Inductive logic programming (ilp) and reasoning by analogy in context of embodied robot learning
Author: Poprcova, Vesna
Author: Stojanov, Georgi
Author: Kulakov, Andrea
Abstract: The ability of reasoning by analogy seems to be essential for many cognitive processes from low and high level perception to categorization. Intuitively, the idea is to use old knowledge in order to explain new observations similar in some ways to what is already known. In some sense it is opposite of induction where in order to explain the observations one comes up with new hypotheses/theories. Therefore, a system capable of both ways of reasoning would be superior to either. In this paper we first present an overview of Inductive Logic Programming (ILP) systems that use reasoning by analogy. Then we present the results of applying Analogical Prediction to problem that arise in the context of physically embodied robot which tries to learn regularities in its environment.
Publisher: IGI Global
Relation: International Journal of Agent Technologies and Systems (IJATS)
Identifier: oai:repository.ukim.mk:20.500.12188/24045
Identifier: http://hdl.handle.net/20.500.12188/24045
