报告题目: Advances in Cognitive Informatics and Cognitive Computing
报 告 人： Yingxu Wang
Vice President，Chief Information Officer
Intel Corporation
报告时间: 10:00am-11:30am，29th June（星期一）, 2009
报告地点: FIT 楼 1-312
主办单位：大阳城国际娱乐官网
联 系 人：张钹教授
Abstract:
Cognitive Computing (CC) is an emerging paradigm of intelligent computing methodologies and systems that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain [Wang, 2003/09]. CC is emerged and developed based on transdisciplinary research in cognitive informatics and abstract intelligence. Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications [Wang, 2002/07/09]. The theoretical framework of cognitive informatics covers the Information-Matter-Energy-Intelligence (IME-I) model, the Layered Reference Model of the Brain (LRMB), the Object-Attribute-Relation (OAR) model of information representation in the brain, the cognitive informatics model of the brain, natural intelligence, and neuroinformatics. Recent studies on LRMB in cognitive informatics reveal an entire set of cognitive mechanisms of the brain and their cognitive process models, which explain the functional mechanisms and cognitive processes of the natural intelligence with 43 cognitive processes at seven layers known as the sensation, memory, perception, action, meta-cognitive, meta-inference, and higher cognitive layers from the bottom up.
Abstract Intelligence (I) [Wang, 2008] and Denotational Mathematics (DM) [Wang, 2000/09] play an important role in cognitive informatics and cognitive computing. ？I is a universal mathematical form of intelligence that transfers information into knowledge and behaviors. DM is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, complex relations, perceptual information, abstract concepts, knowledge, intelligent behaviors, behavioral processes, and systems.
The latest advances in CI and CC have led to a systematic solution for future generation intelligent computers known as cognitive computers that learn and think. A wide range of applications of CI, ？I, CC, and DM have been recognized toward the implementation of highly intelligent systems such as cognitive systems, knowledge search engines, autonomous learning systems, and autonomic agent systems.
Biography：
Yingxu Wang is professor of cognitive informatics and software engineering, Director of International Center for Cognitive Informatics (ICfCI), and Director of Theoretical and Empirical Software Engineering Research Center (TESERC) at the University of Calgary. He is a Fellow of WIF, a P.Eng of Canada, a Senior Member of IEEE and ACM, and a member of ISO/IEC JTC1 and the Canadian Advisory Committee (CAC) for ISO. He received a PhD in Software Engineering from the Nottingham Trent University, UK, in 1997, and a BSc in Electrical Engineering from Shanghai Tiedao University in 1983. He has industrial experience since 1972 and has been a full professor since 1994. He was a visiting professor in the Computing Laboratory at Oxford University in 1995, Dept. of Computer Science at Stanford University in 2008, and the Berkeley Initiative in Soft Computing (BISC) Lab at University of California, Berkeley in 2008, respectively. He is the founder and steering committee chair of the annual IEEE International Conference on Cognitive Informatics (ICCI). 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 (A), and Editor-in-Chief of CRC Book Series in Software Engineering.
Prof. Wang is the initiator of a number of cutting-edge research fields or subject areas such as cognitive informatics, abstract intelligence, cognitive computing, cognitive computers, denotational mathematics (i.e., concept algebra, system algebra, real-time process algebra, granular algebra, visual semantic algebra, fuzzy quantification/qualification, fuzzy inferences, and fuzzy causality analyses), software science (i.e., theoretical software engineering and mathematical laws of software engineering), coordinative work organization theory, deductive semantics, LRMB, the reference model of autonomous agent systems, cognitive complexity of software, and built-in tests (BITs). He has published over 115 peer reviewed journal papers, 193 peer reviewed full conference papers, and 12 books in cognitive informatics, software engineering, and computational intelligence. He is the recipient of dozens international awards on academic leadership, outstanding contributions, research achievement, best paper, and teaching in the last 30 years.
