Strong CogSci: Guidance from Cognitive Science On the Design of a Test of Artificial Intelligence

dc.contributor.authorLebiere, Christian
dc.contributor.authorBothell, Dan
dc.contributor.authorMorrison, Don
dc.contributor.authorOltramari, Alessandro
dc.contributor.authorMartin, Michael
dc.contributor.authorRomera, Oscar
dc.contributor.authorThomson, Robert
dc.contributor.authorVinokurov, Jerry
dc.date.accessioned2024-10-10T15:01:29Z
dc.date.available2024-10-10T15:01:29Z
dc.date.issued2015
dc.description.abstractWe propose a test of human-like intelligence inspired by constraints from cognitive science on unified theories of cognition. The most salient characteristics of this test include the capacity for open-ended, generative behavior, the ability to learn and adapt in real time in complex environments, and the ability to interact productively with other human and artificial agents. The proposed test environment is Minecraft, a virtual world reflecting many of the key characteristics of real world embodiments. The core task is to build assemblies of varying complexity and purposes in cooperation with human or artificial entities.
dc.description.sponsorshipCarnegie Mellon University BS&L EECS Army Cyber Institute
dc.identifier.citationLebiere, Christian, Dan Bothell, Don Morrison, Alessandro Oltramari, Michael Martin, Oscar Romero, Robert Thomson, and Jerry Vinokurov. "Strong Cogsci: Guidance from cognitive science on the design of a test of Artificial Intelligence." In Proceedings of the Beyond the Turing Test Workshop, AAAI-2015. 2015.
dc.identifier.urihttps://hdl.handle.net/20.500.14216/1587
dc.publisherAAAI
dc.subjectturing test
dc.subjectcognitive science
dc.subjectartificial intelligence
dc.titleStrong CogSci: Guidance from Cognitive Science On the Design of a Test of Artificial Intelligence
dc.typeConference presentations, papers, posters
local.USMAemailrobert.thomson@westpoint.edu
local.peerReviewedYes

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