Advanced Paradigms in Artificial Intelligence From  Neural Oscillators Chaos Theory, to Chaotic Neural Networks

 Author: Raymond S. T. Lee, Hong Kong

ISBN:  0-9752150-3-5

Publication date: Jan 2006

No. of Pages: 412

 

 


 

Book Contents  

This book is divided into THREE Parts. Part 1 is an introduction on both the concepts and applications of the advanced paradigms in AI including: Artificial Neural Networks, Fuzzy Theory, Oscillatory Theory (and Neural Oscillators), Chaos Theory and Fractals. Part 2 focuses on the concepts and theories of the Chaotic Neural Networks. The author presents his latest works on Lee-oscillator and its chaotic neuro-dynamics for the interpretation of the remarkable psycology behaviours – the Gestalt Theory. Part 3 is an advance section focuses on the latest works and research done by the author on Chaotic Neural Networks – the Cognitron Theory and its interpretation in Modern Ontology and Epistemology.

In addition to the discussions of the underlying principles of the advanced paradigms in AI, this book also covers a wide range of application areas including: Stock prediction; Agent-based e-shopping system; Scene segmentation and analysis; Severe weather prediction; Invariant human face recognition; Gestalt phenomena; Cognitive agents and Ontological agent-based system.

 

About the author

Dr. Raymond Lee received his B.Sc. from Hong Kong University in 1989, he received his M.Sc. and PhD from Hong Kong Polytechnic University in 1997 and 2000 respectively. After graduation from Hong Kong University, he joined the Hong Kong Government in the Royal Observatory Hong Kong as a meteorological scientist for weather forecasting and the development of telecommunication systems for the provision of meteorological services from 1989 to 1993. Prior to joining the Hong Kong Polytechnic University in Sept. 1998, Raymond also worked as MIS Manager and System Consultant in various business organizations in Hong Kong.

He is currently assistant professor in the Department of Computing of the Hong Kong Polytechnic University. He has working in the area of AI and Intelligent Agents for over 10 years with the publication of over 50 publications (including books, journals, book chapters and conference papers) in the areas of AI and Intelligent Agents. He is also the Founder of the iJADE Project (http://www.iJADK.org) which focuses on the research and development of a fully integrated Intelligent Agent platform with the corresponding iJADE agents. His major research areas include: Artificial Intelligence, Ontology, Epistemology, Intelligent E-Commerce Systems, Intelligent Agents, Pattern Recognition, Weather Simulation and Forecasting and Chaotic Neural Networks.

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