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Computing in Cause-Effect Structures

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computing in Cause-Effect Structures/ by Ludwik Czaja.
作者:	Czaja, Ludwik.
面頁冊數:	XV, 172 p. 147 illus., 68 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-88813-8
ISBN:	9783030888138

Computing in Cause-Effect Structures
Czaja, Ludwik.

Computing in Cause-Effect Structures[electronic resource] /by Ludwik Czaja. - 1st ed. 2022. - XV, 172 p. 147 illus., 68 illus. in color.online resource. - Lecture Notes in Networks and Systems,3312367-3389 ;. - Lecture Notes in Networks and Systems,1.

Basic Concepts of Cause-Effect Structures -- Computing with Natural Numbers -- Computing logical (Boolean) functions -- Modelling data structures -- Relationship of Reaction Systems and Cause-Effect Structures -- Rough Cause-Effect Structures -- Relationship of c-e structures to Petri Nets -- Time in Cause-Effect Structures -- Examples from several fields.

This book focuses on numerous examples of tasks represented by c-e structure. Cause–eﬀect (c-e) structures are dynamic objects devised for algebraic and graphic description of realistic tasks. They constitute a formal system providing means to specify or implement (depending on degree of description generality) the tasks. They can be transformed, thus come under simpliﬁcation, in accordance with rules-axioms of their algebra. Also, their properties can be inferred from the axioms. One objective of this book is presentation, by many realistic examples, of computing capability of c-e structures, without entering into mathematical details of their algebra. In particular, how computing with natural numbers and in propositional calculus can be performed by c-e structures and how to specify bahaviour of data structures. But also demonstration of many other tasks taken from the area of parallel processing, speciﬁed as c-e structures. Another objective is modelling or simulation by means of c-e structures, of other descriptive systems, devised for tasks from various ﬁelds. Also without formalizing by usage of functions between the systems. This concerns formalisms such as reaction systems, rough sets, Petri nets and CSP-like languages. Also on such, where temporal interdependence between actions matters. The presentation of examples is prevalently graphic, in the form of peculiar nets, but accompanied by their algebraic and set-theoretic expressions. A fairly complete exposition of concepts and properties of the algebra of cause-eﬀect structures is in the previous book appeared in the Lecture Notes in Networks and Systems series. But basic notions of c-e structures are here provided for understanding the examples.

ISBN: 9783030888138

Standard No.: 10.1007/978-3-030-88813-8doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computing in Cause-Effect Structures
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