Multigrammatical Framework for Knowledge-Based Digital Economy

This monograph introduces a new multiset-based conceptual, mathematical, and knowledge engineering framework for planning and scheduling in resourceconsuming, resource-producing (industrial), and resource-distributing (economical) sociotechnological systems (STSs) in order to enable their smart operation not only in a “business-as-usual” mode, but also in highly volatile and hazardous environments. This framework, named multigrammatical framework (MGF), is the result of convergence and deep integration into a unified, flexible, easily applied, and effectively implemented formalism, operating on multisets, of several well-known paradigms from classical operations research and modern knowledge engineering: mathematical programming, optimal scheduling, and constraint programming. The mathematical background of the MGF, its algorithmics and applications, implementation issues, as well as its nexus with known models from operations research and theoretical computer science areas are considered. STSs’ resilience and recovery issues are studied by applying the MGF toolkit, and special attention is paid to multigrammatical assessment of resilience of energy infrastructures. MGFrepresented resource-based games, allowing modeling and simulation of various conflicts in which participants try to eliminate and/or capture one another’s resources while their actions consume their own resources, are introduced. Directions of further development of the MGF are discussed. 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.