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Passing the ALife test: Activity statistics classify evolution in Geb as unbounded Alastair Channon Department of Electrical and Electronic Engineering Anglesea Road, University of Portsmouth, PO1 3DJ. UK alastair@channo
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Document Date: 2001-07-16 19:04:00

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File Size: 2,09 MB

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Zurich / San Francisco / Redwood City / Francisco / Cambridge / Los Angeles / City / /

Company

MIT Press / J. Daida A. E. / /

Country

United Kingdom / /

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Facility

University of Portsmouth / /

IndustryTerm

evolutionary emergent systems / neural network / axiom network / evolutionary search / artificial evolutionary systems / artificial systems / /

Movie

A. D. / /

Organization

Alastair Channon Department of Electrical and Electronic Engineering Anglesea Road / MIT / University of Portsmouth / /

Person

C. Taylor / Alastair Channon / R. Belew / H. Kitano / C. Adami / M. H. Garzon / V / Morgan Kaufmann / /

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Position

moving forward / J. D. Farmer / /

ProvinceOrState

California / Massachusetts / New Hampshire / /

PublishedMedium

Journal of Theoretical Biology / /

Technology

neural network / Simulation / genotype / /

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http /

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