國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Inspired by natureessays presented t...

Adamatzky, Andrew.

Inspired by natureessays presented to Julian F. Miller on the occasion of his 60th birthday /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Inspired by natureedited by Susan Stepney, Andrew Adamatzky.
其他題名:	essays presented to Julian F. Miller on the occasion of his 60th birthday /
其他作者:	Stepney, Susan.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	x, 387 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Genetic programming (Computer science)
電子資源:	http://dx.doi.org/10.1007/978-3-319-67997-6
ISBN:	9783319679976$q(electronic bk.)

Inspired by natureessays presented to Julian F. Miller on the occasion of his 60th birthday /
Inspired by natureessays presented to Julian F. Miller on the occasion of his 60th birthday /[electronic resource] :edited by Susan Stepney, Andrew Adamatzky. - Cham :Springer International Publishing :2018. - x, 387 p. :ill., digital ;24 cm. - Emergence, complexity and computation,v.282194-7287 ;. - Emergence, complexity and computation ;v.5..

This 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.

ISBN: 9783319679976$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67997-6doiSubjects--Topical Terms:

206263
Genetic programming (Computer science)

LC Class. No.: QA76.623

Dewey Class. No.: 006.31

Inspired by natureessays presented to Julian F. Miller on the occasion of his 60th birthday /
LDR:02637nmm a2200313 a 4500 001 528748
003 DE-He213
005 20180620094556.0
006 m d
007 cr nn 008maaau
008 181030s2018 gw s 0 eng d
020 $a 9783319679976$q(electronic bk.)
020 $a 9783319679969$q(paper)
024 7 $a 10.1007/978-3-319-67997-6 $2 doi
035 $a 978-3-319-67997-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.623
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.31 $2 23
090 $a QA76.623 $b .I59 2018
245 0 0 $a Inspired by nature $h [electronic resource] : $b essays presented to Julian F. Miller on the occasion of his 60th birthday / $c edited by Susan Stepney, Andrew Adamatzky.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 387 p. : $b ill., digital ; $c 24 cm.
490 1 $a Emergence, complexity and computation, $x 2194-7287 ; $v v.28
520 $a This 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.
650 0 $a Genetic programming (Computer science) $3 206263
650 0 $a Natural computation. $3 339160
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Algorithms. $3 184661
650 2 4 $a Complexity. $3 274400
700 1 $a Stepney, Susan. $3 801352
700 1 $a Adamatzky, Andrew. $3 239133
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Emergence, complexity and computation ; $v v.5. $3 674564
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67997-6
950 $a Engineering (Springer-11647)