Learning Like Baby: A Survey of AI approaches

Frank Guerin

Research output: Contribution to journalArticle

Abstract

One of the major stumbling blocks for Arti¿cial Intelligence remains the commonsense knowledge problem. It is not clear how we could go about building a program which has all the commonsense knowledge of the average human adult. This has led to growing interest in the “developmental” approach, which takes its inspiration from nature (especially the human infant) and attempts to
build a program which could develop its own knowledge and abilities through interaction with the world. The challenge here is to ¿nd a learning program which can continuously build on what it knows, to reach increasingly sophisticated levels of knowledge. This survey reviews work in this area, with the emphasis on those that focus on early learning, for example sensorimotor learning. The concluding discussion assesses the progress thus far and outlines some key problems which
have yet to be addressed, and whose solution is essential to achieve the goals of the developmental approach.
Original languageEnglish
Pages (from-to)209-236
Number of pages27
JournalKnowledge Engineering Review
Volume26
Issue number2
Publication statusPublished - 2011

Cite this

Learning Like Baby : A Survey of AI approaches. / Guerin, Frank.

In: Knowledge Engineering Review, Vol. 26, No. 2, 2011, p. 209-236.

Research output: Contribution to journalArticle

Guerin, F 2011, 'Learning Like Baby: A Survey of AI approaches', Knowledge Engineering Review, vol. 26, no. 2, pp. 209-236.
Guerin, Frank. / Learning Like Baby : A Survey of AI approaches. In: Knowledge Engineering Review. 2011 ; Vol. 26, No. 2. pp. 209-236.
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