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[cancelled due to the speaker's illness]

Artificial Immune Systems - A New Emerging Technology of Computational Intelligence
Implications on Development of the Autonomous Intelligent Systems, Data Mining and other Hybrid Intelligent Systems

Prof. Mircea G.H. Negoita
Wellington Institute of Technology, School of Information Technology, Wellington, New Zealand

ABSTRACT

Artificial Immune Systems (AIS) are still considered with an attitude of reserve by most practitioners in Computational Intelligence (CI), much more, some of them even considering this emergent computing paradigm in an infancy stage. But a lot of basic models and algorithms based on components of the artificial immune-based systems were developed and are used in a variety of applications.

Much more, the focusing of Computational Intelligence on the emerging field of the AIS led to very effective hybrid intelligent systems of AIS with other CI paradigms. My lecture try to prove why AIS are of interest, starting from the real-world of applications asking for a radical change of the information systems framework, namely the component-based framework must be replaced with an agent-based one, where the system complexity requires that any agent to be clearly featured by its autonomy. The AIS methods build adaptive large-scale multi-agent systems that are open to the environment, systems that are not at all fixed just after the design phase, but are real-time adaptive to unpredictable situations and malicious defects. The AIS perform the defence of a complex system against malicious defects achieving its survival strategy by extension of the concept of organization of multicellular organisms to the information systems. The main behavioural features of the AIS - as self-maintenance, distributed and adaptive computational systems - are defined and described in relation to the Immune System as an information system. A comparison of the AIS methodology with other Intelligent Technologies is another point of the lecture. The overview of some actual AIS applications is made using a practical engineering design strategy that views AIS as very effective software with agent-based architecture.

TUTORIAL OUTLINE

1. Introduction
2. Why ais are of interes Defining immunity based systems
3. Artficial immunity- based systems compared with other intelligent technologies; ais-based hybrid intelligent systems
4. A multi-agent framework of engineering design inspired by the artficial immunity- based systems
5. An overview on ais main application fields
6. Possible future trends in the area of artficial immunity- based systems

INTENDED AUDIENCE: General

SPEAKER'S BIOGRAPHY

Mircea Gh. Negoita received the M. Sc. degree from the Technical University of Bucharest (TUB), Romania and the Ph.D. degree from TUB in 1985.

He is currently a Professor in The School of Information Technology, Wellington Institute of Technology (WelTec), New Zealand and the Director of Centre for Computational Intelligence at WelTec. He was a visiting professor at York University, Toronto, Canada , at University of Dortmund, Department of Computer Science, Germany, at RWTH- Aachen, Germany and to other 7 Universities in NZ, Germany, Canada, Japan, Serbia& Montenegro. He was a professor at Department of Applied Informatics, University of Galatzi, Romania and an associate professor at Department of Electronics and Information Engineering, TUB, Romania. He was HoD and co-founder of Department for Computational Intelligence at National Research Institute for Microtechnology, Romania and a senior scientific researcher at National Institute for Thermal Engines, Romania.

Prof. Negoita has over 30 years of R&D and technology development in electronic equipments, electronic integrated circuits and intelligent hybrid systems. He has reference pioneering works in the following areas: intelligent hybrid systems (Fuzzy – Genetic Algorithms and applications); evolvable hardware (EHW); applied fuzzy logic for intelligent cars. His actual areas of research: theoretical developments and applications of Hybrid Intelligent Systems in different area of social-economic life; evolvable hardware; intelligent tutoring systems; artificial immune systems. Prof. Negoita has led bilateral international research projects in Canada and Germany , and different national research projects for MICMUE ( Ministry of Machine Industry, Electrotechnique Industry and Electronics Industry of Romania) and MCT (Romanian Ministry of Research and Technology)

Prof. Negoita has internationally published 7 books in the area of Computational Intelligence, has authored more than 90 papers, was keynote speaker at several conferences, is a member of editorial board of 3 international journals, taught conference tutorials and short courses, and has chaired invited sessions to different international conferences in USA, Europe, Japan , Australia, NZ. His most recent published books: Negoita et al., “Computational Intelligence. Engineering of Hybrid Systems” Springer Verlag, 2005 ISBN3-540-23219-2 ; Negoita and Reusch (eds) “Real World Applications of Computational Intelligence” Springer Veralg, 2005 ISBN 3-540-25006-9.

He is a member of KES International Advisory Committee and was the General Chair of KES’2004 conference.

His actual areas of research: theoretical developments and applications of Hybrid Intelligent Systems in different area of social-economic life; evolvable hardware; intelligent tutoring systems; artificial immune systems. Prof. Negoita has led bilateral international research projects in Canada and Germany , and different national research projects for MICMUE ( Ministry of Machine Industry, Electrotechnique Industry and Electronics Industry of Romania) and MCT (Romanian Ministry of Research and Technology)

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