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010   $a3-540-49947-4
024 7 $a10.1007/3-540-61093-6
035   $a(CKB)1000000000234438
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035   $a(PQKBTitleCode)TC0000327346
035   $a(PQKBWorkID)10301435
035   $a(PQKB)11010586
035   $a(DE-He213)978-3-540-49947-3
035   $a(PPN)155196596
035   $a(EXLCZ)991000000000234438
100   $a20121227d1996      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aTowards Evolvable Hardware$b[electronic resource] $eThe Evolutionary Engineering Approach /$fedited by Eduardo Sanchez, Marco Tomassini
205   $a1st ed. 1996.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1996.
215   $a1 online resource (X, 274 p.) 
225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1062
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-61093-6 
327   $aField programmable gate array (FPGA) circuits -- Evolutionary algorithms -- Artificial cellular development in optimization and compilation -- CAM-Brain the evolutionary engineering of a billion neuron artificial brain by 2001 which grows/evolves at electronic speeds inside a cellular automata machine (CAM) -- Morphogenesis for evolvable systems -- Evolvable Hardware and its application to pattern recognition and fault-tolerant systems -- Unconstrained evolution and hard consequences -- Embryonics: The birth of synthetic life -- Embryonics: A new family of coarse-grained field-programmable gate array with self-repair and self-reproducing properties -- Evolution and mobile autonomous robotics -- Development and evolution of hardware behaviors.
330   $aEvolutionary computing, inspired by the biological world, is one of the emergent technologies of our time. Being essentially a software activity, it has been successfully applied, e.g. for optimization and machine learning in various areas. The tremendous increase in computational power and, more recently, the appearance of a new generation of programmable logic devices allow for a new approach to designing computing machines inspired by biological models: it is now possible to make the hardware itself evolve. This book is based on a workshop on evolvable hardware, held in Lausanne, Switzerland, in October 1995. It reports the state of the art of research in this field and presents two introductory chapters, written with the novice reader in mind.
410  0$aLecture Notes in Computer Science,$x0302-9743 ;$v1062
606   $aComputers
606   $aComputer hardware
606   $aLogic design
606   $aMicroprocessors
606   $aComputer simulation
606   $aArtificial intelligence
606   $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005
606   $aComputer Hardware$3https://scigraph.springernature.com/ontologies/product-market-codes/I1200X
606   $aLogic Design$3https://scigraph.springernature.com/ontologies/product-market-codes/I12050
606   $aRegister-Transfer-Level Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I12069
606   $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputers.
615  0$aComputer hardware.
615  0$aLogic design.
615  0$aMicroprocessors.
615  0$aComputer simulation.
615  0$aArtificial intelligence.
615 14$aTheory of Computation.
615 24$aComputer Hardware.
615 24$aLogic Design.
615 24$aRegister-Transfer-Level Implementation.
615 24$aSimulation and Modeling.
615 24$aArtificial Intelligence.
676   $a004.2/2
702   $aSanchez$b Eduardo$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTomassini$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a996465585603316
996   $aTowards evolvable hardware$91501964
997   $aUNISA