Multigrammatical Framework for Knowledge-Based Digital Economy

The multigrammatical framework (MGF) is a novel conceptual, mathematical, and knowledge engineering paradigm for planning and scheduling in resource-consuming, resource-producing, and resource-distributing sociotechnological systems (STS). It combines classical operations research and modern knowledge engineering paradigms, such as mathematical programming, game theory, optimal scheduling, logic programming, and constraint programming, into a unified, flexible, and effectively implemented formalism operating on multisets of these paradigms. The book covers the mathematical background, algorithmics, applications, implementation issues, and nexus with known models from operations research and theoretical computer science areas. It also studies the resilience and recovery issues of STS using the MGF toolkit, with a special focus on the multigrammatical assessment of resilience of energy infrastructures. The book includes multiple applications to business intelligence, critical infrastructure, ecology, economy, and industry, and 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, as well as 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 the book.

Format: Hardback
Length: 461 pages
Publication date: 30 October 2022
Publisher: Springer International Publishing AG

This monograph presents a novel multiset-based conceptual, mathematical, and knowledge engineering paradigm called the multigrammatical framework (MGF) for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS). The MGF aims 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 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, as well as engineers developing software-intensive solutions for implementation of the knowledge-based digital economy.

Weight: 875g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031138577
Edition number: 1st ed. 2022