Advances in Integrations of Intelligent Methods | Post-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018)

Ioannis Hatzilygeroudis (u. a.)

ISBN 10: 981151917X ISBN 13: 9789811519178
Editorial: Springer, 2020
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Advances in Integrations of Intelligent Methods | Post-workshop volume of the 8th International Workshop CIMA 2018, Volos, Greece, November 2018 (in conjunction with IEEE ICTAI 2018) | Ioannis Hatzilygeroudis (u. a.) | Buch | xiv | Englisch | 2020 | Springer | EAN 9789811519178 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de ref. del artículo 117630919

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This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different  soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles.

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Dr. Ioannis Hatzilygeroudis received his Diploma in Mechanical & Electrical Engineering from the National Technical University of Athens (NTUA), Greece; his M.Sc. in Information Technology and his PhD in Artificial Intelligence from the University of Nottingham, UK. Currently he is a Professor at the Department of Computer Engineering and Informatics, University of Patras, Greece. He is an Associate Editor-in-Chief of the International Journal of Artificial Intelligence Tools (IJAIT). He has also been member of the PCs of over 100 AI related conferences. He has published over 120 papers in international journals, edited volumes and proceedings. His main research interests are: artificial intelligence, knowledge representation, expert systems, knowledge engineering, machine learning, intelligent educational systems, intelligent e-learning, sentiment analysis. He is member of IEEE, ACM, AIED Society and the Hellenic Artificial Intelligence society (EETN).

Dr. Isidoros Perikos received his Diploma of Computer Engineer in 2008 and his MSc and Ph.D. in Computer Science from the Department of Computer Engineering and Informatics, University of Patras, in 2010 and 2016 respectively. His main research interests include artificial intelligence, natural language processing, machine learning and affective computing. He has published over 60 papers in international journals, conferences and workshops proceedings. He has participated in several national and European R&D projects. He is a member of IEEE, ACM and the Hellenic Artificial Intelligence society.

Dr. Foteini Grivokostopoulou received her Degree in applied mathematics from the University of Crete in 2006, the MSc in Mathematics of Computation and Decision Making in 2010 from the University of Patras and Ph.D. in Computer Science from the Department of Computer Engineering and Informatics, University of Patras in 2016. She is currently a Post-Doctoral Researcher at the ArtificialIntelligence Group of the Department of Computer Engineering and Informatics. Her research interests are in the fields of Artificial Intelligence, Machine Learning, Intelligent Tutoring Systems, Integration of ICT & Semantic Web Technologies in e-Learning and Educational Data Mining. She has published more than 50 papers in international conferences and journals. She is a member of IEEE and the Artificial Intelligence in Education (AIED) Society.

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Título: Advances in Integrations of Intelligent ...
Editorial: Springer
Año de publicación: 2020
Encuadernación: Buch
Condición: Neu

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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Combines different approaches and techniques from artificial intelligenceIncludes case studies related to the application of hybrid methods Is useful for academicians, researchers and practitioners interested in solving real-world pr. Nº de ref. del artículo: 335896012

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Buch. Condición: Neu. Neuware -This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch. Nº de ref. del artículo: 9789811519178

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles. 176 pp. Englisch. Nº de ref. del artículo: 9789811519178

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles. Nº de ref. del artículo: 9789811519178

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Hatzilygeroudis, Ioannis (Editor)/ Perikos, Isidoros (Editor)/ Grivokostopoulou, Foteini (Editor)
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