AI is Dead: Long Live AI

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dc.contributor.author Qualtrough, P. en
dc.date.accessioned 2009-04-08T04:03:23Z en
dc.date.available 2009-04-08T04:03:23Z en
dc.date.issued 1999-03 en
dc.identifier.citation Computer Science Technical Reports 166 (1999) en
dc.identifier.issn 1173-3500 en
dc.identifier.uri http://hdl.handle.net/2292/3500 en
dc.description.abstract The time seems ripe to reflect on the state of AI and re-evaluate its goals and techniques. It is argued that a fundamental oversight has been made in adopting a focus on knowledge and reasoning without simultaneously emphasising understanding and meaning. Despite not being able to define the latter term precisely, we can exploit our limited knowledge of meaning that most AI efforts will simply never achieve artificial intelligence of the kind that many pioneers in the field envisaged, or that most members of the public imagine when they hear this term. The only route to this goal is argued to be via learning, and objections to this approach are argued to be weak or flawed. A number of implications of learning with the specific aim of acquiring meaning and understanding capabilities are discussed. en
dc.publisher Department of Computer Science, The University of Auckland, New Zealand en
dc.relation.ispartofseries Computer Science Technical Reports en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.source.uri http://www.cs.auckland.ac.nz/staff-cgi-bin/mjd/csTRcgi.pl?serial en
dc.title AI is Dead: Long Live AI en
dc.type Technical Report en
dc.subject.marsden Fields of Research::280000 Information, Computing and Communication Sciences en
dc.rights.holder The author(s) en


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