東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Modeling complex processes through nature-analogous methods = artificial intelligence and artificial life /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling complex processes through nature-analogous methods/ by Christina Klüver, Jürgen Klüver, Jörn Schmidt.
其他題名:	artificial intelligence and artificial life /
作者:	Klüver, Christina.
其他作者:	Klüver, Jürgen.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2025.,
面頁冊數:	xii, 366 p. :ill. (some col.), digital ;24 cm.
內容註:	Bottom-up models, complex systems, and nature-analogous methods of AI and AL -- Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms -- The modeling of adaptive processes through evolutionary algorithms -- Modeling learning systems through neural networks -- Modeling the imprecise: fuzzy set theory and fuzzy logic -- Hybridizations of the basic models -- Summary and perspectives.
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-658-46510-0
ISBN:	9783658465100

Modeling complex processes through nature-analogous methods = artificial intelligence and artificial life /
Klüver, Christina.

Modeling complex processes through nature-analogous methodsartificial intelligence and artificial life /[electronic resource] :by Christina Klüver, Jürgen Klüver, Jörn Schmidt. - Wiesbaden :Springer Fachmedien Wiesbaden :2025. - xii, 366 p. :ill. (some col.), digital ;24 cm.

Bottom-up models, complex systems, and nature-analogous methods of AI and AL -- Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms -- The modeling of adaptive processes through evolutionary algorithms -- Modeling learning systems through neural networks -- Modeling the imprecise: fuzzy set theory and fuzzy logic -- Hybridizations of the basic models -- Summary and perspectives.

This book is an introduction to nature-analogous techniques and related formal methods. For each technique, application examples are provided. It covers cellular automata and Boolean networks, evolutionary algorithms, as well as simulated annealing, fuzzy methods, neural networks, and finally hybrid systems, i.e., combinations of various techniques. Based on the theory of complex dynamic systems, theoretical foundations are also presented, and the similarities of these seemingly very heterogeneous techniques are pointed out. The edition has been revised and expanded with current trends such as ChatGPT. Content Bottom-up models, complex systems, and nature-analogous methods of AI and AL Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms The modeling of adaptive processes through evolutionary algorithms Modeling learning systems through neural networks Modeling the imprecise: fuzzy set theory and fuzzy logic Hybridizations of the basic models Summary and perspectives Target Audience Students, educators, and practitioners interested in new modeling with methods of Artificial Intelligence and Artificial Life for their professional activities. Authors PD Dr. Christina Klüver, Prof. Dr. Jürgen Klüver, and Dr. Jörn Schmidt form the research group COBASC (Computer Based Analysis of Social Complexity). They developed numerous computer programs for the simulation and analysis of complex processes. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

ISBN: 9783658465100

Standard No.: 10.1007/978-3-658-46510-0doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Modeling complex processes through nature-analogous methods = artificial intelligence and artificial life /
LDR:03534nmm a2200337 a 4500 001 2410281
003 DE-He213
005 20250429130226.0
006 m d
007 cr nn 008maaau
008 260204s2025 gw s 0 eng d
020 $a 9783658465100 $q (electronic bk.)
020 $a 9783658465094 $q (paper)
024 7 $a 10.1007/978-3-658-46510-0 $2 doi
035 $a 978-3-658-46510-0
040 $a GP $c GP
041 1 $a eng $h ger
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .K66 2025
100 1 $a Klüver, Christina. $3 3784082
240 1 0 $a Modellierung komplexer Prozesse durch naturanaloge Verfahren. $l English
245 1 0 $a Modeling complex processes through nature-analogous methods $h [electronic resource] : $b artificial intelligence and artificial life / $c by Christina Klüver, Jürgen Klüver, Jörn Schmidt.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer, $c 2025.
300 $a xii, 366 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Bottom-up models, complex systems, and nature-analogous methods of AI and AL -- Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms -- The modeling of adaptive processes through evolutionary algorithms -- Modeling learning systems through neural networks -- Modeling the imprecise: fuzzy set theory and fuzzy logic -- Hybridizations of the basic models -- Summary and perspectives.
520 $a This book is an introduction to nature-analogous techniques and related formal methods. For each technique, application examples are provided. It covers cellular automata and Boolean networks, evolutionary algorithms, as well as simulated annealing, fuzzy methods, neural networks, and finally hybrid systems, i.e., combinations of various techniques. Based on the theory of complex dynamic systems, theoretical foundations are also presented, and the similarities of these seemingly very heterogeneous techniques are pointed out. The edition has been revised and expanded with current trends such as ChatGPT. Content Bottom-up models, complex systems, and nature-analogous methods of AI and AL Self-organizing systems: cellular automata, Boolean networks, and neighborhood generating algorithms The modeling of adaptive processes through evolutionary algorithms Modeling learning systems through neural networks Modeling the imprecise: fuzzy set theory and fuzzy logic Hybridizations of the basic models Summary and perspectives Target Audience Students, educators, and practitioners interested in new modeling with methods of Artificial Intelligence and Artificial Life for their professional activities. Authors PD Dr. Christina Klüver, Prof. Dr. Jürgen Klüver, and Dr. Jörn Schmidt form the research group COBASC (Computer Based Analysis of Social Complexity). They developed numerous computer programs for the simulation and analysis of complex processes. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
650 0 $a Computational intelligence. $3 595739
650 0 $a Automatic control. $3 535879
650 0 $a Robotics. $3 519753
650 0 $a Automation. $3 633305
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Klüver, Jürgen. $3 3784083
700 1 $a Schmidt, Jörn. $3 3784084
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-658-46510-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)