This book focuses on numerous examples of tasks represented by c-e structure. Cause–e?ect (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 simpli?cation, 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 behavior of data structures. But also demonstration of many other tasks taken from the area of parallel processing, speci?ed as c-e structures. Another objective is modelling or simulation by means ofc-e structures, of other descriptive systems, devised for tasks from various ?elds. 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-e?ect 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: | 9783030888152 |
| Publication date: | 29th November 2022 |
| Author: | Ludwik Czaja |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 172 pages |
| Series: | Lecture Notes in Networks and Systems |
| Genres: |
Artificial intelligence |
This book focuses on numerous examples of tasks represented by c-e structure. Cause–e?ect (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 simpli?cation, 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 behavior of data structures. But also demonstration of many other tasks taken from the area of parallel processing, speci?ed as c-e structures. Another objective is modelling or simulation by means ofc-e structures, of other descriptive systems, devised for tasks from various ?elds. 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-e?ect 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.
Computing in Cause-Effect Structures features in the following genres: Artificial intelligence
Computing in Cause-Effect Structures is available in Paperback
Computing in Cause-Effect Structures was written by Ludwik Czaja and published by Springer Nature Switzerland AG
Computing in Cause-Effect Structures has 172 pages
Yes it is part of Lecture Notes in Networks and Systems series
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