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000824265 019__ $$a1013490148
000824265 020__ $$a9783319679976$$q(electronic book)
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000824265 0247_ $$a10.1007/978-3-319-67997-6$$2doi
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000824265 049__ $$aISEA
000824265 050_4 $$aQA76.623
000824265 08204 $$a006.31$$223
000824265 24500 $$aInspired by nature :$$bessays presented to Julian F. Miller on the occasion of his 60th birthday /$$cSusan Stepney, Andrew Adamatzky, editors.
000824265 264_1 $$aCham :$$bSpringer,$$c[2018]
000824265 264_4 $$c©2018
000824265 300__ $$a1 online resource.
000824265 336__ $$atext$$btxt$$2rdacontent
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000824265 4901_ $$aEmergence, complexity and computation,$$x2194-7287 ;$$vvolume 28
000824265 504__ $$aIncludes bibliographical references.
000824265 506__ $$aAccess limited to authorized users.
000824265 520__ $$aThis book is a tribute to Julian Francis Miller's ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry and theoretical biology. Leading international experts in computing inspired by nature offer their insights into the principles of information processing and optimisation in simulated and experimental living, physical and chemical substrates. Miller invented Cartesian Genetic Programming (CGP) in 1999, from a representation of electronic circuits he devised with Thomson a few years earlier. The book presents a number of CGP's wide applications, including multi-step ahead forecasting, solving artificial neural networks dogma, approximate computing, medical informatics, control engineering, evolvable hardware, and multi-objective evolutionary optimisations. The book addresses in depth the technique of 'Evolution in Materio', a term coined by Miller and Downing, using a range of examples of experimental prototypes of computing in disordered ensembles of graphene nanotubes, slime mould, plants, and reaction diffusion chemical systems. Advances in sub-symbolic artificial chemistries, artificial bio-inspired development, code evolution with genetic programming, and using Reed-Muller expansions in the synthesis of Boolean quantum circuits add a unique flavour to the content. The book is a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists and engineers to chemists and biologists.
000824265 588__ $$aOnline resource; title from PDF title page (viewed November 2, 2017).
000824265 650_0 $$aGenetic programming (Computer science)
000824265 650_0 $$aNatural computation.
000824265 7001_ $$aMiller, Julian$$q(Julian F.),$$ehonouree.
000824265 7001_ $$aStepney, Susan,$$eeditor.
000824265 7001_ $$aAdamatzky, Andrew,$$eeditor.
000824265 77608 $$iPrint version: $$z9783319679969
000824265 830_0 $$aEmergence, complexity and computation ;$$vv. 28.
000824265 852__ $$bebk
000824265 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-67997-6$$zOnline Access$$91397441.1
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