Open access peer-reviewed Edited Volume

Multi-Agent Systems - Theory, Implementation and Applications

Igor Sheremet

Russian Foundation for Basic Research


MAS Mathematical Backgrounds Verification and Validation Determinism and Non-Determinism Computational Complexity Programming Languages MAS Implementation Toolkits Hardware and Middleware Architectures Debugging and Maintenance Economical and Financial Scheduling Applications MAS in Manufacturing MAS in Transportation and Logistics Smart Cities Applications

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About the book

Multi-Agent Systems (MAS) are one of the most promising areas of modern artificial intelligence, covering a lot of practically important applications, such as economy, banking and finance, manufacturing, power industry, logistics and transportation, smart cities, as well as advanced research directions, such as artificial life, artificial brain, simulated reality, evolutionary computing etc. The current state-of-the-art in MAS research and development activities may be decomposed to three main closely interconnected directions: theoretical foundations of MAS, their implementation issues, and their applications to various problems. Theoretical models and approaches, developed in MAS area, have the objective to create the unambiguous and non-contradictory mathematical background of MAS, providing their verification, validation, and assessment. MAS implementation techniques and technologies are the most dynamic directions, covering the development of programming languages and toolkits, which provide fast prototyping, debugging and maintenance of MAS, as well as the creation of non-conventional hardware and middleware architectures, which are oriented to effective MAS operation in various environments. The application direction includes activities to which purpose is to implant software/hardware-implemented MAS to different components of large-scale socio-technological systems - from business personal assistants to power plants scheduling devices.

This book provides a concerned reader with an overview of the most interesting and useful results achieved in this attracting area.

Publishing process

Book initiated and editor appointed

Date completed: May 1st 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: June 4th 2020

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Approved chapters written in full and submitted

Deadline for full chapters: August 3rd 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: October 22nd 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

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Expected publication date: December 21st 2020

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About the editor

Igor Sheremet

Russian Foundation for Basic Research

Dr. Igor Sheremet was born 23/03/1956 in Minsk region, Belarus. He has finished his education at the Academy by Peter The Great, department of electronics and computer science (1977), and at the Russian Presidential Academy, department of state financial policy (2006). He is a corresponding member of the Russian Academy of Sciences (RAS), a professor, a deputy director for science of Russian foundation for basic research (RFBR), a deputy chair of RAS Systems analysis committee and of RAS Science board on robotics and mechatronics. Dr. Sheremet is also a Co-Chair of the Task Group “Advanced Mathematical Tools for Data-Driven Applied Systems Analysis” of Committee on Data (CODATA) of International Council for Science (ICSU) and an active member of the Science Advisory Committee of International Institute for Applied Systems Analysis (IIASA). During 1977-1993 he has developed a theory and an implementational background of the Augmented Post Systems (APS), providing creation and maintenance of distributed intelligent middleware with very large knowledge and databases. During 1994-2014 Dr. Sheremet has developed and implemented a family of APS-based non-conventional computer architectures, providing deep integration of Multi-Agent Systems, Internet of Things and Big Data paradigms and efficient operation in highly volatile environments. Since 2005 he is successfully developing the theory of recursive multi-sets being a result of the convergence of classical optimization theory and modern knowledge engineering. Main areas of application of this theory are the future digital economy, data-driven applied systems analysis, large socio-technological systems, resource-driven games, as well as the assessment of large economical systems sustainability and vulnerability to various destructive impacts (poor decision making, natural hazards, terror, etc.). Dr. Sheremet has also received several awards, including the L.Euler medal by European Academy of Natural Sciences (2011), Russian Federation Zhukov State Prize (2013), Gold medal and Diploma Di Merito for exceptional achievements by European Scientific-Industrial Chamber (2016), Russian Government Prize (2018).

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