Human-Assisted Intelligent Computing (ePub)
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Human-assisted computation also called humanized or human-based computing harnesses human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence algorithms by outsourcing certain steps to humans. This approach exploits differences in abilities between humans and computer agents creating a symbiotic human-computer interaction and can be helpful in solving many AI-complete problems. This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today. Excitingly techniques originally developed for solutions in engineering, science and technology are being applied to areas of economics, finance and, especially the social sciences. The book reviews present and developing deep model-based methods of mathematics and the less model-based, also so-called smart or intelligent algorithms, with their roots in engineering, computer science or informatics and how combing the strengths of humans and computers can create powerful solutions. Bridging several scientific disciplines, this book will be essential reading for scientists, engineers and applied mathematicians alike.
Key Features
- Reviews the present state of play and future challenges in human-assisted computing
- Interdisciplinary coverage
- Focus on applications
- Includes case studies and real-life implemented solutions
Prof Igor Litvinchev received his M.Sc. degree in Applied Mathematics from Moscow Institute of Physics and Technology (Fizteh), Russia; PhD in Systems Theory and Operations Research and Dr Sci(Habilitation) in Systems Modeling and Optimization from Computing Center, Russian Academy of Sciences (CCAS), Moscow. He is currently a Professor at Nuevo Leon State University, Mexico and a Leading Mathematician at CCAS. His research is focused on large-scale systems modeling, optimization and control as well as on their applications in interdisciplinary research. Professor Litvinchev is an author of 4 books and an editor of 5 more. He published more than 90 research papers in leading international journals and served in Program and Organizing Committees for more than 40 international conferences. His research was supported by more than 30 grants from NATO Scienti¿c Affairs Division and European Community; ISF (USA) and RFBR (Russia); CNPq and FAPESP (Brasil); BRFBR (Belarus); CONACYT, PROMEP and PAICYT (Mexico). Professor Litvinchev is a member of the Russian Academy of Natural Sciences and the Mexican Academy of Sciences. He is the co-founder of the Mexican Society of Operations Research and the Mexican Logistics and Supply Chain Association.
Prof Elias Munapo holds a BSc. (Hons) in Applied Mathematics (1997), MSc. in Operations Research (2002) and a PhD in Operations Research
Gerhard-Wilhelm ("Willi") Weber, PhD, is a Professor at the Institute of Applied Mathematics (IAM) of METU, Ankara. His research is on OR, financial mathematics, economics, optimization and data mining, but also on life sciences, education and development. He received his Diploma and Doctorate in mathematics, and economics/business administration, at RWTH Aachen, and his Habilitation in mathematics at TU Darmstadt. He held Professorships by proxy at the University of Cologne, and TU Chemnitz, Germany. He is also a member of five further graduate schools, institutes and departments of METU. He has affiliations at the universities of Siegen, Ballarat, Aveiro and North Sumatra, and he is an "Advisor to EURO Conferences". At IFORS, he is chair of the "OR for Developing Countries" online resources and regional correspondent for EURO of IFORS Newsletter. He serves EURO Working Group on OR for Development (EWG ORD), EURO Working Groups on Continuous Optimization (EUROPT) and EURO Working Group Methodology of Societal Complexity as "honorary chair".
Dr J Joshua Thomas, is an associate professor at UOW Malaysia KDU Penang University College, Malaysia. He obtained his PhD (Intelligent Systems Techniques) in 2015 from University Sains Malaysia, Penang, and his Master's degree in 1999 from Madurai Kamaraj University, India. From July to September 2005, he worked as a research assistant at the Artificial Intelligence Lab at University Sains Malaysia. From March 2008 to March 2010, he worked as a research associate at the same University. Currently, he is working with Machine Learning, Big Data, Data Analytics, and Deep Learning, especially targeting on Convolutional Neural Networks (CNN) and Bi-directional Recurrent Neural Networks (RNN) for image tagging with embedded natural language processing, End to end steering learning systems and GAN. His work involves experimental research with software prototypes and mathematical modelling and design He is an editorial board member for the Journal of Energy Optimization and Engineering, and invited guest editor for the Journal of Visual Languages Communication. Recently with Computer Methods and Programs in Biomedicine. He has published more than 40 papers in leading international conference proceedings and peer-reviewed journals.
Dr Pandian Vasant holds B.Sc (Hons, II Class UPPER) in Mathematics, an MSc (Engineering Mathematics), and PhD (UNEM, Costa Rica) in Computational Intelligence (By Research). Universidad Empresarial de Costa Rica (UNEM) is accredited by: IAU (International Association of Universities), UNESCO (United Nations Educational, Scientific and Cultural Organization), THE UNITED NATIONS and BQS (Board of Quality Standards)/BPS/IQIHE (International Quality Institute for Higher Education). Dr Pandian Vasant **is an Editor-in-Chief of IJEOE (ESCI/WoS). He holds PhD in Computational Intelligence (UNEM, Costa Rica), MSc (UMS, Malaysia, Engineering Mathematics) and BSc (Hons) in Mathematics (MU, Malaysia). His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored numerous research articles in journals, conference proceedings and book chapters. Currently, he is Editor-in-Chief of the International Journal of Energy Optimization & Engineering, and a Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Research Group (TDTU, Vietnam).
- 2023, 500 Seiten, Englisch
- Herausgegeben: Mukhdeep Singh Manshahia, Igor S. Litvinchev, Gerhard-Wilhelm Weber, J. Joshua Thomas, Pandian Vasant
- Verlag: Institute of Physics Publishing
- ISBN-10: 0750348011
- ISBN-13: 9780750348010
- Erscheinungsdatum: 27.04.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 35 MB
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