Computational Matter
Mentés helye:
| Testületi szerző: | |
|---|---|
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Cham : Springer International Publishing,
2018
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| Sorozat: | Natural Computing Series, ISSN 1619-7127 |
| Tárgyszavak: | |
| Online elérés: | http://doi.org/10.1007/978-3-319-65826-1 |
| Címkék: |
Új címke
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| id |
opac-EUL01-000977430 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Computational Matter edited by Susan Stepney, Steen Rasmussen, Martyn Amos. Cham Springer International Publishing 2018 IX, 337 p. online forrás szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Natural Computing Series 1619-7127 Encoding and Representation -- Formalisms -- Mathematical Aspects of Evolvability -- Autonomy, Programming and Programmability -- Non-Boolean Algebras -- Complexity Issues -- Amorphous Substrates -- Material Simulation/Systems-Scale Simulation/Multiscale Modelling -- Nanoscale Automata -- Electronic Chemical Interaction and Digital Computation -- Molecular and Device Self-assembly and Self-organization -- Interfacing and Architectures: Board and Chip Builders -- Evolution, Coevolution, Evolvable Hardware and Embedded in Materio Evolution -- Reservoir Computing -- Swarm Chemistry -- Molecular/DNA Computing -- Dynamical Stability and Intelligence -- Unconventional Computation and Life -- Unconventional Computing in Society -- Philosophy of Computation. This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics. Nyomtatott kiadás: ISBN 9783319658247 Nyomtatott kiadás: ISBN 9783319658254 Nyomtatott kiadás: ISBN 9783030097509 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book Információelmélet számításelmélet EUL10000222613 Y mesterséges intelligencia EUL10000021058 Y Information theory EUL10000071489 Y Artificial intelligence. EUL10000183324 Y elektronikus könyv Stepney, Susan szerk. EUL10001047205 Y Rasmussen, Steen szerk. EUL10000854304 Y Amos, Martyn szerk. SpringerLink (Online service) közreadó testület Natural computing series EUL10000471051 Y Online változat http://doi.org/10.1007/978-3-319-65826-1 Cham Springer International Publishing Imprint: Springer 2018 EUL01 |
| language |
English |
| format |
Book |
| author2 |
Stepney, Susan, szerk. Rasmussen, Steen, szerk. Amos, Martyn, szerk. |
| author_facet |
Stepney, Susan, szerk. Rasmussen, Steen, szerk. Amos, Martyn, szerk. SpringerLink (Online service), közreadó testület |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Stepney, Susan |
| title |
Computational Matter |
| spellingShingle |
Computational Matter Natural Computing Series, ISSN 1619-7127 Információelmélet számításelmélet mesterséges intelligencia Information theory Artificial intelligence. elektronikus könyv |
| title_short |
Computational Matter |
| title_full |
Computational Matter edited by Susan Stepney, Steen Rasmussen, Martyn Amos. |
| title_fullStr |
Computational Matter edited by Susan Stepney, Steen Rasmussen, Martyn Amos. |
| title_full_unstemmed |
Computational Matter edited by Susan Stepney, Steen Rasmussen, Martyn Amos. |
| title_auth |
Computational Matter |
| title_sort |
computational matter |
| series |
Natural Computing Series, ISSN 1619-7127 |
| series2 |
Natural computing series |
| publishDate |
2018 |
| publishDateSort |
2018 |
| physical |
IX, 337 p. : online forrás |
| isbn |
978-3-319-65826-1 |
| issn |
1619-7127 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA75 |
| callnumber-raw |
14854 |
| callnumber-search |
14854 |
| topic |
Információelmélet számításelmélet mesterséges intelligencia Information theory Artificial intelligence. elektronikus könyv |
| topic_facet |
Információelmélet számításelmélet mesterséges intelligencia Information theory Artificial intelligence. elektronikus könyv Információelmélet számításelmélet mesterséges intelligencia Information theory Artificial intelligence. |
| url |
http://doi.org/10.1007/978-3-319-65826-1 |
| illustrated |
Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
004 - Data processing & computer science |
| dewey-full |
004.0151 |
| dewey-sort |
14.0151 |
| dewey-raw |
004.0151 |
| dewey-search |
004.0151 |
| first_indexed |
2023-12-27T22:28:42Z |
| last_indexed |
2023-12-30T21:24:21Z |
| recordtype |
opac |
| publisher |
Cham : Springer International Publishing |
| _version_ |
1786739805165453312 |
| score |
13,368427 |
| generalnotes |
This book is concerned with computing in materio: that is, unconventional computing performed by directly harnessing the physical properties of materials. It offers an overview of the field, covering four main areas of interest: theory, practice, applications and implications. Each chapter synthesizes current understanding by deliberately bringing together researchers across a collection of related research projects. The book is useful for graduate students, researchers in the field, and the general scientific reader who is interested in inherently interdisciplinary research at the intersections of computer science, biology, chemistry, physics, engineering and mathematics. |