Abstract
The integration of intelligent technologies has become an interesting research topic and a powerful way to develop useful applications. Most of the work has been done on conventional hardware, but future work will include implementation with massively parallel systems, optical computing, and other hardware as they are improved and become economical. Hybrid intelligent systems (see Figure 14.1) also rely on and interface with conventional software technologies such as database systems and object-oriented programming languages.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References for Further Reading
Bezdek, J. C. (1994), “What is computational intelligence?” in [Zurada, Marks, and Robinson, 1994] at pp. 1–12.
Frisch, A. M. and Cohn, A. (1991), “Thoughts and afterthoughts on the 1988 workshop on principles of hybrid reasoning,” AI Magazine, vol 11, no. 5, pp. 77–83.
Fukuda, T., and Shibata, T. (1994), “Fuzzy-neural-GA based intelligent robotics,” in [Zurada, Marks, and Robinson, 1994] at pp. 352–363.
Kandel, A., and Langholz, G. (eds) (1992), Hybrid Architectures for Intelligent Systems, CRC Press, Boca Raton.
Medsker, L. R., and Bailey, D. L. (1992), “Models and Guidelines for Integrating Expert Systems and Neural Networks,” in [Kandel and Langholz, 1992] at pp. 154–171.
Santiago, R. A., and Werbos, P. (1994), “New progress towards truly brain-like intelligent control,” Proceedings of the World Congress on Neural Networks, vol I, San Diego, CA, June 5-9, pp. 27–33.
Soucek, B., and the IRIS Group (eds) (1991), Neural and Intelligent Systems Integration, John Wiley and Sons, New York.
Sun, R., Bookman, L. A., and Shekhar, S. (eds.) (1992), Integrating Neural and Symbolic Processes: The Cognitive Dimension, Working Notes from the AAA I-92 Workshop Program, San Jose, C
Werbos, P. (1993a), “Brain-like intelligence in artificial models: how can we really get there?” INNS Above Threshold, vol 2, no. 2, pp. 8–12.
Zadeh, L. A. (1994), “Fuzzy logic, neural networks and soft computing,” Communications of the ACM, vol 37, no. 3, pp. 77–84.
Zurada, J. M., Marks II, R. J., and Robinson, C. J. (eds) (1994), Computational Intelligence: Imitating Life, IEEE Press, New York.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer Science+Business Media New York
About this chapter
Cite this chapter
Medsker, L.R. (1995). Summary and the Future of Hybrid Intelligent Systems. In: Hybrid Intelligent Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2353-6_14
Download citation
DOI: https://doi.org/10.1007/978-1-4615-2353-6_14
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5998-2
Online ISBN: 978-1-4615-2353-6
eBook Packages: Springer Book Archive