| TopDescriptionThe Advances in Cognitive Informatics and Natural Intelligence (ACINI) Book Series seeks to fill the gap of literature that transcends disciplinary boundaries, and is devoted to the rapid publication of high quality books. In providing a scholarly channel for new research principles, theories and concepts, the book series will enhance the fields of Natural Intelligence, Autonomic Computing, and Neuroinformatics. The development and the cross fertilization between the aforementioned science and engineering disciplines have led to a whole range of extremely interesting new research areas known as Cognitive Informatics and Natural Intelligence. Advances in Cognitive Informatics and Natural Intelligence (ACINI) Book Series seeks to propel the availability of literature for international researchers, practitioners, and graduate students to investigate cognitive mechanisms and processes of human information processing, and to stimulate the transdisciplinary effort on cognitive informatics and natural intelligent research and engineering applications. TopMissionThe Advances in Cognitive Informatics and Natural Intelligence (ACINI) Book Series encourages submissions that transcend disciplinary boundaries, and is devoted to rapid publication of high quality books. ACINI endeavors to provide a prolific forum for international contributors furthering the fields of cognitive informatics and natural intelligence research and engineering applications. TopTopics CoveredThe Advances in Cognitive Informatics and Natural Intelligence (ACINI) Book Series encourages submissions that transcend disciplinary boundaries. The series invites proposal submissions on multidisciplinary principle and perspectives surrounding breakthrough areas of Natural Intelligence, Autonomic Computing, and Neuroinformatics. Topics of interest to the series include, but are not limited to, the following areas: Informatics models of the brain
Cognitive processes of the brain
Internal information processing mechanisms
Theories of natural intelligence
Intelligent foundations of computing
Descriptive mathematics for NI
Abstraction and means
Ergonomics
Informatics laws of Software
Knowledge representation
Models of knowledge and Skills
Language acquisition
Cognitive complexity of software
Distributed intelligence
Computational intelligence: emotions/motivations/attitudes
Perception and consciousness
Hybrid (AI/NI) intelligence
Imperative vs. autonomous Computing
Reasoning and inferences
Cognitive informatics foundations of AC
Memory models
Informatics foundations of software engineering
Fuzzy logic
Knowledge engineering
Pattern recognition
Agent technologies
Artificial intelligence
Software agent systems
Decision theories
Problem solving
Machine learning
Intelligent internet
Web contents cognition
Nature of software
Quantum computing
Neuroscience foundations of information processing
Cognitive models of the brain
Functional modes of the brain
Neural models of memory
Neural networks
Neural computation
Cognitive linguistics
Neuropsychology
Bioinformatics
Biosignal processing
Cognitive signal processing
Gene analysis
Gene expression
Neural signal interpretation
Visual information representation
Visual information interpretation
Sensational cognitive processes
Human factors in systems TopEditorial Advisory BoardAssociate Editors:
Franck Barbier, University of Pau, France
John Bickle, University of Cincinnati, USA
Roger K. Moore, University of Sheffield, UK
Gunther Ruhe, University of Calgary, Canada
MengChu Zhou, New Jersey Institute of Technology, USAInternational Editorial Advisory Board:
James Anderson, Brown University, USA
Brian H. Bland, University of Calgary, Canada
Lee Flax, Macquarie University, Australia
Frank L. Greitzer, Pacific Northwest National Lab, USA
Yaochu Jin, Honda Research Institute - Europe, Germany
Witold Pedrycz, University of Alberta, Canada
Fernando Rubio Diez, University of Complutense de Madrid, Spain
Athanasios Vasilakos, University of Thessaly, Greece
Yiyu Yao, University of Regina, Canada
Xiaolin Zhou, Peking University, China
Vaclav Rajlich, Wayne State University, USA TopReleases|
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TopAuthor(s)/Editor(s) BiographyYingxu Wang Yingxu Wang is professor of cognitive informatics and software science, President of International Institute of Cognitive Informatics and Cognitive Computing (ICIC), Director of Laboratory for Cognitive Informatics and Cognitive Computing and Director of Laboratory for Denotational Mathematics and Software Science at the University of Calgary. He is a Fellow of WIF (UK), Fellow of ICIC, a P.Eng of Canada, a Senior Member of IEEE and ACM. He received a PhD in Software Engineering from the Nottingham Trent University, UK and a BSc in Electrical Engineering from Shanghai Tiedao University. He has industrial experience since 1972 and has been a full professor since 1994. He was a visiting professor on sabbatical leaves in the Computing Laboratory at Oxford University in 1995, Dept. of Computer Science at Stanford University in 2008, the Berkeley Initiative in Soft Computing (BISC) Lab at University of California, Berkeley in 2008 and MIT (2012), respectively. He is the founder and steering committee chair of the annual IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC). He is founding Editor-in-Chief of International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), founding Editor-in-Chief of International Journal of Software Science and Computational Intelligence (IJSSCI), Associate Editor of IEEE Trans on System, Man and Cybernetics (Part A) and associate Editor-in-Chief of Journal of Advanced Mathematics and Applications.
Dr. Wang is the initiator of a few cutting-edge research fields or subject areas such as Cognitive Informatics (CI, the theoretical framework of CI, neuroinformatics, the logical model of the brain (LMB), the layered reference model of the brain (LRMB), the cognitive model of brain informatics (CMBI), the mathematical model of consciousness and the cognitive learning engine); Abstract Intelligence ( I); Cognitive Computing (such as cognitive computers, cognitive robots, cognitive agents and cognitive Internet); Denotational Mathematics (i.e., concept algebra, inference algebra, semantic algebra, real-time process algebra, system algebra, granular algebra and visual semantic algebra); Software Science (on unified mathematical models and laws of software, cognitive complexity of software and automatic code generators, the coordinative work organization theory and built-in tests (BITs)); basic studies in Cognitive Linguistics (such as the cognitive linguistic framework, the deductive semantics of languages, deductive grammar of English and the cognitive complexity of online text comprehension). He has published over 130 peer reviewed journal papers, 220+ peer reviewed conference papers and 25 books in cognitive informatics, cognitive computing, software science, denotational mathematics and computational intelligence. He is the recipient of dozens international awards on academic leadership, outstanding contributions, research achievement, best papers and teaching in the last three decades. |