The toy box problem (and a preliminary solution)

Johnston, B

The toy box problem (and a preliminary solution)

Johnston, B

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Publication Type:: Conference Proceeding
Citation:: Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, 2010, pp. 43 - 48
Issue Date:: 2010-07-05

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Field	Value	Language
dc.contributor.author	Johnston, B	en_US
dc.date.issued	2010-07-05	en_US
dc.identifier.citation	Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, 2010, pp. 43 - 48	en_US
dc.identifier.isbn	9789078677369	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16216
dc.description.abstract	The evaluation of incremental progress towards 'Strong AI' or 'AGI' remains a challenging open problem. In this paper, we draw inspiration from benchmarks used in artificial commonsense reasoning to propose a new benchmark problem- the Toy Box Problem-that tests the practical real-world intelligence and learning capabilities of an agent. An important aspect of a benchmark is that it is realistic and plausibly achievable; as such, we outline a preliminary solution based on the Comirit Framework.	en_US
dc.relation.ispartof	Artificial General Intelligence - Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010	en_US
dc.title	The toy box problem (and a preliminary solution)	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Lugano, Switzerland	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

The evaluation of incremental progress towards 'Strong AI' or 'AGI' remains a challenging open problem. In this paper, we draw inspiration from benchmarks used in artificial commonsense reasoning to propose a new benchmark problem- the Toy Box Problem-that tests the practical real-world intelligence and learning capabilities of an agent. An important aspect of a benchmark is that it is realistic and plausibly achievable; as such, we outline a preliminary solution based on the Comirit Framework.

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http://hdl.handle.net/10453/16216