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Multigrammatical framework for knowledge-based digital economy

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multigrammatical framework for knowledge-based digital economyby Igor A. Sheremet.
Author:	Sheremet, I. A.
Published:	Cham :Springer International Publishing :2022.
Description:	xiv, 461 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Expert systems (Computer science)
Online resource:	https://doi.org/10.1007/978-3-031-13858-4
ISBN:	9783031138584$q(electronic bk.)

Multigrammatical framework for knowledge-based digital economy
Sheremet, I. A.

Multigrammatical framework for knowledge-based digital economy[electronic resource] /by Igor A. Sheremet. - Cham :Springer International Publishing :2022. - xiv, 461 p. :ill., digital ;24 cm.

Preface -- Introduction -- Sociotechnological systems and associated problems -- Syntax, semantics and mathematical properties of multiset grammars -- Basic algorithmics of multiset grammars and metagrammars -- Resource-consuming sociotechnological systems -- Industrial sociotechnological systems -- Economical sociotechnological systems and economical combinatorics -- Resilience and recovery of sociotechnological systems -- Resource-based games -- Multigrammatical representation of classic problems of operations research -- Interconnections between multiset grammars and models of computation -- Implementation issues and future developments -- Conclusion -- References -- Index -- List of Acronyms.

This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS) This framework is meant to enable smart operation not only in a "business-as-usual" mode, but also in extraordinary, highly volatile or hazardous environments. It is the result of convergence and deep integration into a unified, flexible and effectively implemented formalism operating on multisets of several well-known paradigms from classical operations research and modern knowledge engineering, such as: mathematical programming, game theory, optimal scheduling, logic programming and constraint programming. The mathematical background needed for MGF, its algorithmics, applications, implementation issues, as well as its nexus with known models from operations research and theoretical computer science areas are considered. The resilience and recovery issues of an STS are studied by applying the MGF toolkit and on paying special attention to the multigrammatical assessment of resilience of energy infrastructures. MGF-represented resource-based games are introduced, and directions for further development are discussed. The author presents multiple applications to business intelligence, critical infrastructure, ecology, economy and industry. This book is addressed to scholars working in the areas of theoretical and applied computer science, artificial intelligence, systems analysis, operations research, mathematical economy and critical infrastructure protection, to engineers developing software-intensive solutions for implementation of the knowledge-based digital economy and Industry 4.0, as well as to students, aspirants and university staff. Foundational knowledge of set theory, mathematical logic and routine operations on data bases is needed to read this book. The content of the monograph is gradually presented, from simple to complex, in a well-understandable step-by-step manner. Multiple examples and accompanying figures are included in order to support the explanation of the various notions, expressions and algorithms.

ISBN: 9783031138584$q(electronic bk.)

Standard No.: 10.1007/978-3-031-13858-4doiSubjects--Topical Terms:

182450
Expert systems (Computer science)

LC Class. No.: QA76.76.E95 / S44 2022

Dewey Class. No.: 006.33

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505 0 $a Preface -- Introduction -- Sociotechnological systems and associated problems -- Syntax, semantics and mathematical properties of multiset grammars -- Basic algorithmics of multiset grammars and metagrammars -- Resource-consuming sociotechnological systems -- Industrial sociotechnological systems -- Economical sociotechnological systems and economical combinatorics -- Resilience and recovery of sociotechnological systems -- Resource-based games -- Multigrammatical representation of classic problems of operations research -- Interconnections between multiset grammars and models of computation -- Implementation issues and future developments -- Conclusion -- References -- Index -- List of Acronyms.
520 $a This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS) This framework is meant to enable smart operation not only in a "business-as-usual" mode, but also in extraordinary, highly volatile or hazardous environments. It is the result of convergence and deep integration into a unified, flexible and effectively implemented formalism operating on multisets of several well-known paradigms from classical operations research and modern knowledge engineering, such as: mathematical programming, game theory, optimal scheduling, logic programming and constraint programming. The mathematical background needed for MGF, its algorithmics, applications, implementation issues, as well as its nexus with known models from operations research and theoretical computer science areas are considered. The resilience and recovery issues of an STS are studied by applying the MGF toolkit and on paying special attention to the multigrammatical assessment of resilience of energy infrastructures. MGF-represented resource-based games are introduced, and directions for further development are discussed. The author presents multiple applications to business intelligence, critical infrastructure, ecology, economy and industry. This book is addressed to scholars working in the areas of theoretical and applied computer science, artificial intelligence, systems analysis, operations research, mathematical economy and critical infrastructure protection, to engineers developing software-intensive solutions for implementation of the knowledge-based digital economy and Industry 4.0, as well as to students, aspirants and university staff. Foundational knowledge of set theory, mathematical logic and routine operations on data bases is needed to read this book. The content of the monograph is gradually presented, from simple to complex, in a well-understandable step-by-step manner. Multiple examples and accompanying figures are included in order to support the explanation of the various notions, expressions and algorithms.
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