| 000 | 03276nam a22003495i 4500 | ||
|---|---|---|---|
| 001 | 102411 | ||
| 003 | DE-He213 | ||
| 005 | 20240111050139.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171026s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319679976 | ||
| 024 | 7 |
_a10.1007/978-3-319-67997-6 _2doi |
|
| 050 |
_aQ342 _b.I577 2018 EB |
||
| 040 |
_aES-MaUEC _bspa |
||
| 245 | 1 | 0 |
_aInspired by Nature _bEssays Presented to Julian F. Miller on the Occasion of his 60th Birthday _cedited by Susan Stepney, Andrew Adamatzky. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (X, 387 páginas 168 ilustraciones, 78 ilustraciones a color.) | ||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aEmergence, Complexity and Computation _x2194-7287 _v28 |
|
| 520 | 3 | _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. | |
| 650 | 7 |
_aInteligencia artificial _2embne _9413115 |
|
| 650 | 7 |
_aAlgoritmos _2embne _9141162 |
|
| 700 | 1 |
_aStepney, Susan. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/213403135/ |
|
| 700 | 1 |
_aAdamatzky, Andrew _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n95020912 _1http://viaf.org/viaf/103118502/ _998020 |
|
| 776 | 0 | 8 |
_iEdición impresa: _z9783319679969 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319679983 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319885285 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67997-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aEngineering (Springer-11647) | |
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_b12/2018 _dz _ef _feng _ggw _h0 |
||
| 999 |
_c102411 _d102411 _x1 |
||