國立高雄大學圖資館 |

登入

回首頁

Solvable cellular automatamethods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Solvable cellular automataby Henryk Fuks.
其他題名:	methods and applications /
作者:	Fuks, Henryk.
出版者:	Cham :Springer Nature Switzerland :2023.
面頁冊數:	xix, 296 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Cellular automata.
電子資源:	https://doi.org/10.1007/978-3-031-38700-5
ISBN:	9783031387005$q(electronic bk.)

Solvable cellular automatamethods and applications /
Fuks, Henryk.

Solvable cellular automatamethods and applications /[electronic resource] :by Henryk Fuks. - Cham :Springer Nature Switzerland :2023. - xix, 296 p. :ill. (some col.), digital ;24 cm. - Understanding complex systems,1860-0840. - Understanding complex systems..

Deterministic cellular automata -- Deterministic initial value problem -- Multiplicative and additive rules -- More complex rules -- Exploiting rule identities -- Rules with additive invariants -- Construction of probability measures -- Probabilistic solutions -- Probabilistic cellular automata -- Applications -- Local structure approximation -- Non-solvable rules -- Appendices.

The main focus of the book is solvability of cellular automata, that is, expressing the state of a given cell after a given number of steps by an explicit formula. The author considers solutions of two types of initial value problems for cellular automata, the deterministic one and the probabilistic one. In the first chapter the basic concepts of cellular automata theory are introduced. Deterministic initial value problem is introduced next and solutions for selected simple rules are also presented. In the following chapters various techniques for solving the deterministic problem are introduced, using elementary CA rules of increasing complexity as examples. The second part of the book introduces the concept of probability measure in the context of cellular automata and the probabilistic initial value problem for both deterministic and probabilistic rules. The book is amply illustrated with examples and applications such as the density classification problem, phase transitions in traffic models or the diffusion of innovations model. In the appendix, solution formulae (both deterministic and probabilistic) for over 60 elementary cellular automata rules are listed. Ruelle-Frobenius-Perron equations for all 88 minimal elementary cellular automata are also provided.

ISBN: 9783031387005$q(electronic bk.)

Standard No.: 10.1007/978-3-031-38700-5doiSubjects--Topical Terms:

211503
Cellular automata.

LC Class. No.: QA267.5.C45 / F84 2023

Dewey Class. No.: 006.3822

Solvable cellular automatamethods and applications /
LDR:02719nmm a2200337 a 4500 001 652370
003 DE-He213
005 20231009134932.0
006 m d
007 cr nn 008maaau
008 240327s2023 sz s 0 eng d
020 $a 9783031387005$q(electronic bk.)
020 $a 9783031386992$q(paper)
024 7 $a 10.1007/978-3-031-38700-5 $2 doi
035 $a 978-3-031-38700-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA267.5.C45 $b F84 2023
072 7 $a GPFC $2 bicssc
072 7 $a SCI055000 $2 bisacsh
072 7 $a GPFC $2 thema
082 0 4 $a 006.3822 $2 23
090 $a QA267.5.C45 $b F961 2023
100 1 $a Fuks, Henryk. $3 962868
245 1 0 $a Solvable cellular automata $h [electronic resource] : $b methods and applications / $c by Henryk Fuks.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xix, 296 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Understanding complex systems, $x 1860-0840
505 0 $a Deterministic cellular automata -- Deterministic initial value problem -- Multiplicative and additive rules -- More complex rules -- Exploiting rule identities -- Rules with additive invariants -- Construction of probability measures -- Probabilistic solutions -- Probabilistic cellular automata -- Applications -- Local structure approximation -- Non-solvable rules -- Appendices.
520 $a The main focus of the book is solvability of cellular automata, that is, expressing the state of a given cell after a given number of steps by an explicit formula. The author considers solutions of two types of initial value problems for cellular automata, the deterministic one and the probabilistic one. In the first chapter the basic concepts of cellular automata theory are introduced. Deterministic initial value problem is introduced next and solutions for selected simple rules are also presented. In the following chapters various techniques for solving the deterministic problem are introduced, using elementary CA rules of increasing complexity as examples. The second part of the book introduces the concept of probability measure in the context of cellular automata and the probabilistic initial value problem for both deterministic and probabilistic rules. The book is amply illustrated with examples and applications such as the density classification problem, phase transitions in traffic models or the diffusion of innovations model. In the appendix, solution formulae (both deterministic and probabilistic) for over 60 elementary cellular automata rules are listed. Ruelle-Frobenius-Perron equations for all 88 minimal elementary cellular automata are also provided.
650 0 $a Cellular automata. $3 211503
650 1 4 $a Complex Systems. $3 558544
650 2 4 $a Theory of Computation. $3 274475
650 2 4 $a Applied Dynamical Systems. $3 913436
650 2 4 $a Mathematical Physics. $3 522725
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Understanding complex systems. $3 560200
856 4 0 $u https://doi.org/10.1007/978-3-031-38700-5
950 $a Physics and Astronomy (SpringerNature-11651)