Abstract
This paper considers the abstract features of human/machine interaction systems that are required for the production of intelligent behaviour. A conceptual architecture is then proposed for a subset of intelligent systems called human-centred intelligent systems (HCISs) and it is argued that such systems must be autonomous, robust and adaptive in order to be intelligent. Soft computing is proposed as a promising new technique that can be used to build HCISs, and examples are presented where this is already being done. Finally, flexibility is defined to be a combination of the often-conflicting requirements of robustness and adaptability, and it is argued that the right balance between these two features is necessary to achieve intelligent behaviour.
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References
McCarthy J: 'What is artificial intelligence?' http://www-formal. stanford.edu/jmc/whatisai/whatisai.html (1998).
Krogman U: 'Techniques for computational and machine intelligence: soft computing', in: 'Advances in soft computing technologies and applications in mission systems', AGARD-LS-210 (Sept 1997).
Azvine B, Azarmi N and Tsui K C: 'Soft computing — a tool for building intelligent systems', BT Technol J, 14, No4, pp 37—45 (October 1996).
Kosko B: 'Neural networks and fuzzy systems — a dynamical systems approach to machine intelligence', Prentice Hall (1992).
Bannon L J: 'Problems in human/machine interaction and communication', Proceedings HCI International 97, pp 24—29 (August 1997).
Ehn P: 'Work-oriented design of computer artifacts', Proceedings of 7th Scandinavian Research Seminar on Systemeering, Helsinki (1988).
Russell S J and Norvig P: 'Artificial intelligence: a modern approach', Prentice-Hall (1995).
Jacobsen H A: 'A generic architecture for hybrid intelligent systems', Proceedings FUZZ-IEEE' 98, IEEE World Congress on Computational Intelligence, Alaska (1998).
Zadeh L A: Foreword to 'Hybrid Intelligent Systems', Medsker L R (Ed), Kluwer Academic Publishers (1995).
Zadeh L A: 'Fuzzy sets', Information and Control, 8, pp 338—353 (1965).
Zadeh L A: 'Fuzzy logic, neural networks and soft computing', 'Communications of the ACM, 37, No3, pp 77—84 (March 1994).
Zadeh L A: 'Soft computing and fuzzy logic', IEEE Software, 11, No6, pp 48—58 (1994).
Mamdani E H: 'Towards soft computing', Proceedings BCS Expert Systems Conference, Cambridge (December 1995).
Bonissone P P: 'Soft computing: the convergence of emerging reasoning technologies', Journal of Research in Soft Computing, 1, No.1 (1997).
Fukura T: 'Fuzzy-neuro-GA based intelligent robotics', in: 'Computational intelligence imitating life', IEEE Press, pp 352—363 (1994).
Fox J: 'Towards a reconciliation of fuzzy logic and standard logic', International Journal of Man Machine Studies, 15, pp 213—220 (1981).
Bezdek J C: 'What is computational intelligence?', in: 'Computational intelligence imitating life', IEEE Press, pp 1—12 (1994).
Nauck D and Kruse R: 'Neuro-fuzzy systems', in Ruspini E, Bonissone P and Pedrycz W (Eds): 'Handbook on fuzzy computation', Chapter D2, Oxford University Press/Institute of Physics Publishing (1998).
Farreny H and Prade H: 'Dealing with the vagueness of natural languages in man/machine communication', in Karwowski W and Mital A (Eds): 'Applications of fuzzy set theory in human factors', Elsevier (1986).
Kayser D: 'An experiment in knowledge representation', Proceedings of the European Conference on Artificial Intelligence (1982).
Wahlster W: 'Implementing fuzziness in dialogue systems', in: 'Empirical Semantics Vol 1', Brockmeyer Bochum (1981).
Bertelli F, Borrometi L and Cuce A: 'Phonemes fuzzy characterization in speech recognition systems', in: 'Applications of soft computing', Proceedings of SPIE, 3165, pp 305—310 (July 1997).
Lee M and Smith M H: 'Handling uncertainty in finance applications using soft computing', Proceedings of the ISUMA-NAFIPS'95, IEEE Press (1995).
Mitaim S and Kosko B: 'Fuzzy function approximation and intelligent agents', in: 'Applications of soft computing', Proceedings of SPIE, 3165, pp 2—13 (July 1997).
Kraft D H, Bordogna G and Pasi G: 'An extended fuzzy linguistic approach to generalize Boolean information retrieval', Journal of Information Sciences, 2, No3, pp 119—134 (1994).
Bordogna G and Pasi G: 'Multicriteria decision making in information retrieval', Proceedings of the 3rd International Conference on Current Issues in Fuzzy Technologies' 93, Roncegno, Trento, Italy (June 1993).
Bose P and Prade H: 'An introduction to the FUZZY set and Possibility theory-based treatment of flexible queries and uncertain or imprecise databases', in Motro A and Smet P (Eds): 'Uncertainty management in information systems', Kluwer Academic Publishers (1997).
Kitazaki S and Onisawa T: 'Communication model considering facial expressions and situations', Proceedings FUZZ-IEEE' 98, IEEE World Congress on Computational Intelligence, Alaska (1998).
Reddy R: 'To dream the possible dream', Communications of the ACM, 39, No5 (May 1996).
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Azvine, B., Wobcke, W. Human-centred Intelligent Systems and Soft Computing. BT Technology Journal 16, 125–133 (1998). https://doi.org/10.1023/A:1009694302662
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DOI: https://doi.org/10.1023/A:1009694302662