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Constraints on the Design Process for Systems with Human Level Intelligence L. Andrew Coward Abstract—Any system which must learn to perform a large number of behavioral features with limited information
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Document Date: 2009-05-12 02:38:56


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City

Espoo / L. A. / New York / /

Company

IEEE Software / Neural Systems / Brain Inspired Cognitive Systems / MIT Press / Self-Organizing Systems / DESIGN PROCESS SYSTEMS / /

Country

Finland / /

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Facility

University of Stirling / Australian National University / /

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IndustryTerm

energy levels / condition recording devices / device learning algorithms / web access etc / synchronicity management / device algorithms / information processing / implementation technology / word processing / software applications / sequential processing / condition detection devices / physical implementation technology / information processing capacity / prototype learning systems / software instruction / graphics processing / physical information handling technologies / biological systems / regular computing system / physical / condition defining devices / large scale electronic systems / information processing systems / electronic systems / /

Organization

Department of Computer Science / MIT / MPACT OF MODIFIABILITY Organization / Carnegie Mellon University / Australian National University / IEEE Computer Society / University of Stirling / /

Person

C. Van Essen / Nat / L. Andrew Coward / /

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Position

Proposed Binding Model “ / outside observer / Recommendation Architecture Model for Human Cognition” / T. D. / /

Product

Ventura / Franklin / /

PublishedMedium

American Journal of Mathematics / Lecture Notes in Computer Science / IEEE Software / /

Technology

Neuroscience / device learning algorithms / physical implementation technology / neural network / network algorithms / implementation technology / frequency modulation / Simulation / device algorithms / Recombination / same physical information handling technologies / /

URL

http /

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