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The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals.
Introduction.- PART I: ICAI’20.- Brain models, Brain mapping, Cognitive science.- Natural language processing.- Fuzzy logic and soft computing.- Social impact of AI.- Emerging technologies.- Statistical learning theory.- Unsupervised and Supervised Learning.- Multivariate analysis.- Hierarchical learning models.- Relational learning models.- Bayesian methods.- Meta learning.- Stochastic optimization.- Heuristic optimization techniques.- Neural networks and variations.- Reinforcement learning.- PART II: ACC 2020.- Novel Computationally Intelligent algorithms.- Bio Inspired Cognitive Algorithms.- Improving Cognition in machine learning systems.- Modeling Human Brain processing systems.- Multimodal learning systems.- Autonomous learning systems.- Reinforced learning.- Conclusion.
Ken Ferens is an Assistant Professor at the Department of Electrical and Computer Engineering (ECE), University of Manitoba, Canada. He is the Computer Engineering Champion in the Centre for Engineering Professional Practice and Engineering Education. He is the director of the Applied Cognitive Intelligence (ACI) Research Group in the Department of ECE. He obtained his Ph.D. in 1996 from the University of Manitoba, and is a member of The Association of Professional Engineers and Geoscientists of the Province of Manitoba. He has authored over 100 publications in his research areas. Dr. Ferens is a senior member of the Institute of Electrical & Electronics Engineers (IEEE); a member of the Canadian Engineering Education Association; the Chair of the EduManCom Chapter of the IEEE; the Vice-Chair of the Computer and Computational Intelligence Chapter of the IEEE; and the Chair of the Industry, Teaching Assistants, and Student Forums, for Engineering Curriculum Review and Improvement.
David de la Fuente is a Full Professor of Oviedo University, from 2010. He has published 144 papers (h-index of 22). His area of research includes: Artificial Intelligence, Forecasting, Simulation, and Fuzzy set theory. He has organized a number of international workshops and sessions. Dr. Fuente's research results in the area of decision support systems have been show-cased in a number of publications. He is also known for his research contributions in the area of operational research. He has presented invited talks in the area of Artificial Intelligence and applications in industry. He has refereed for numerous journals and book publishers. He is an active member of the AI research community.
Elena B. Kozerenko is the Head of Computational Linguistics and Cognitive Text Processing Research Group and Leading Researcher of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, Institute of Informatics Problems (1984-Present); Ph.D. - Theoretical Foundations of Informatics (Computa
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