Charles Hedbring/Program STEPPE



Below is a set of references pertinent to AI, Chaos Theory, Neural Network Analysis, FuzzyLogic, Expert Systems, Knowledge Bases. (Included are some interesting and relevant Weblinks and software program possibilities as well.) Again, a All refs are taken from Biblio-Refs (click on "Download" above). Biblio-Refs contains dozens more references on subjects relevant to neural nets, AI, expert systems, chaos theory, and fuzzy logic. So do download Win95 Biblio-Refs and stay abreast of this largely novel field.

  Neural Networks & AI  

(P.S.: Review this and all STEPPE/Hedbring reference lists often; they are in constant flux as new literature is uncovered, recommended, or encountered. We are all in this together, so please be quick and eager to point out errors or additional literature you find compelling. Thank you.)

Addis, T.R. (1986). Designing knowledge-based systems. Englewood Cliffs, NJ: Prentice-Hall.

Alexander, D.M. (1996). Edge-of-chaos dynamics in recursively organized neural systems. In E.R. MacCormac & M.I. Slamenov (Eds.), Fractals of brain, fractals of mind: In search of a symmetry bond (Vol. 7, pp. 31-73). Philadelphia, PA: John Benjamin Publishing.

Arbib, M.A., Adelman, G., Arbib, P.H. et. al. (Eds.). (1995). The handbook of brain theory and neural networks. Cambridge, MA: MIT Press.

Awad, E.M. (1996). Building expert systems: Principles, procedures, and applications. New York: West/Wadsworth.

Bak, P., & Chen, K. (1991). Self-organized criticality. Scientific American, 264(1), 46-53.

Baldwin, J.F. (Ed.). (1996). Fuzzy logic. New York: Wiley.

Bandemer, H., & Gottwald, S. (1996). Fuzzy sets, fuzzy logic, fuzzy methods with applications. New York: Wiley.

Barabosa, V.C. (1993). Massively parallel models of computation: Distributed parallel processing in artificial intelligence and optimisation. New York: Ellis Horwood.

Barrow, H. (1996). Connectionism and neural networks. In M.A. Boden (Ed.), Artificial intelligence: Handbook of perception and cognition (2nd ed., pp. 135-155). San Diego, CA: Academic Press.

Barton, S. (1994). Chaos, self-organization, and psychology. American Psychologist, 49, 5-14.

Basar, F. (Ed.). (1990). Chaos in brain function. New York: Springer-Verlag.

Beale, R., & Jackson, T. (1990). Neural computing: An introduction. New York: IOP Publishing.

Beckerman, M. (1997). Adaptive and co-operative systems. New York: Wiley.

Bertalanffy, L. von. (1967). Robots, men and minds. New York: Braziller.

Bertalanffy, L. von. (1968). General systems theory. New York: Brazillar.

Bickhard, M.H. (1992). Myths of science: Misconceptions of science in contemporary psychology. Theory and Psychology, 2, 321-337.

Bishop, C.M. (1995). Neural networks for pattern recognition. Oxford, England: Oxford University Press.

Boden, M.A. (Ed.). (1996). Artificial intelligence. Handbook of perception and cognition (2nd ed.). San Diego, CA: Academic Press.

Bonczek, R.H., Holsapple, C.W., & Whinston, A.B. (1981). Foundations of decision support systems. New York: Academic Press.

Briggs, J., & Peat, F.D. (1989). Turbulent mirror: An illustrated guide to chaos theory and the science of wholeness. New York: Harper & Row.

Brooks, R.C. & Etheridge, H.L. (1994). Neural networks: A new technology. CPA Journal, 64(3), 36-39.

Buckley, J.J., Siler. W., & Tucker, D. (1986). A fuzzy expert system. Fuzzy Sets and Systems, 20(1), 1-16.

Cheng, B. & Titterington, D. M. (1994). Neural networks: A review from a statistical perspective. Statistical Sciences, 9(1), 2-54.

Cherkassky, V., Friedman, J.H., & Wescheler, H. (Eds.). (1994). From statistics to neural networks: Theory and pattern recognition applications. New York: Springer-Verlag.

Coveney, P. (1990, September 29). Chaos, entropy and the arrow of time. New Scientist, pp. 49-52.

Crevier, D. (1993). AI: The tumultuous history of the sarch for artificial intelligence. New York: HarperCollins.

Crutchfield, J.P., Farmer, J.D., Packard, N.H., & Shaw, R.S. (1986). Chaos. Scientific American, 255(6), 46-57.

Cziko, G.A. (1989). Unpredictability and indeterminism in human behavior: Arguments and implications for educational research. Educational Researcher, 18, 17-25.

Danowski, J.A. (1993). Network analysis of message content. In W.D. Richards, Jr. (Ed.), Progress in communication sciences (Vol. 12). Norwood, NJ: Ablex.

Dhar, V., & Stein, R. (1997). Intelligent decision support methods: The science of knowledge work. Upper Saddle River, NJ: Prentice-Hall.

Duong, D.V., & Reilly, K.D. (1995). A system of IAC neural networks as the basis for self-organization in a sociological dynamical system simulation. Behavioral Science, 40, 275-303.

Durkin, J. (1993). Expert systems: Design and development. New York: MacMillan.

Dworkin, S.I., & Branch, M.N. (1997). Some questions about unification of conditioning processes, stimulus-response psychology, neural network models. Journal of the Experimental Analysis of Behavior, 67, 214-216.

Eberhart, R., Simpson, P., & Dobbins, R. (1996). Computational intelligence: PC tools. Boston: AP Professional.

Fielding, N.G., & Lee, R.M. (1992). Using computers in qualitative research. Newbury Park, CA: Sage.

Franklin, S.P. (1995). Artificial minds. Cambridge, MA: MIT Press.

Fraser, M.D. (1991). Advances in control networks and large scale parallel distributed processing models. Norwood, NJ: Ablex.

Furness, P. (1992). Applying neural networks in database marketing: An overview. Journal of Targeting, Measurement and Analysis for Marketing, 1, 152 - 169.

Gallant, S.I. (1993). Neural network learning and expert systems. Cambridge, MA: MIT Press.

Ginsberg, A. (1988). Automatic refinement of expert system knowledge bases. London: Morgan Kaufman.

Gleick, J. (1987). Chaos: Making a new science. New York: Penguin.

Graham, I.J., & Jones, P.L. (1988). Expert systems: Knowledge, uncertainty and decision. New York: Chapman & Hall.

Grint, K. (1998). Fuzzy management: Contemporary ideas and practices at work. New York: Oxford University Press.

Guess, D., & Sailor, W. (1993). Chaos theory and the study of human behavior: Implications for special education and developmental disabilities. The Journal of Special Education, 27, 16-34.

Guida, G., & Tasso, C. (1994). Design and development of knowledge-based systems: From life cycle to methodology. New York: Wiley.

Gulick, D. (1992). Encounters with chaos. New York: McGraw-Hill.

Guyon, I., & Wang, P.S.P. (Eds.). (1993). Advances in pattern recognition systems using neural network technologies. River Edge, NJ: World Scientific.

Haack, K. (1996). Deviant logic, fuzzy logic: Beyond the formalism. Chicago: University of Chicago Press.

Hassoun, M.H. (1995). Fundamentals of artificial neural networks. Cambridge, MA: MIT Press.

Hawking, S. (1988). A brief history of time: From the big bang to black holes. New York: Bantam Books.

Hesse, M. (1974). The structure of scientific inference. London: Macmillan.

Hinton, G.E. (1992, September). How neural networks learn from experience. Scientific American, pp. 145 - 151.

Holden, A. (1985, April 25). Chaos is no longer a dirty word. New Scientist, pp. 12-15.

Holland, J. (1994). Hidden order: How adaptation builds complexity. Reading, MA: Addison-Wesley.

Hui, S.C., & Goh, A. (1996). Incorporating fuzzy logic with neural networks for document retrieval. Engineering Applications of Artificial Intelligence, 9, 551-660.

Ignizio, J.P. (1991). Introduction to expert systems: The development and implementation of rule-based expert systems. New York: McGraw-Hill.

Immarco, P. (July 1, 1993). Neural nets for the rest of us. PC AI, 7, 34-36.

Immarco, P. (November 1, 1993). Neural works professional II+. PC AI, 7(6), 40-42.

Immarco, P. (May 1, 1996). Neuro genetic optimizer. PC AI, 10(3), 42-43.

Ishii, S., Kenji, F., & Watanabe, S. (1996). A network of chaotic elements for information processing. Neural Networks, 9(1), 25-40.

Jantsch, E. (1980). The self-organizing universe. Oxford: Pergamon.

Jeapes, B. (1994). Neural desk. Expert Systems, 11, 256-258.

Jeffries, C. (1991). Code recognition and set selection with neural networks. Boston: Birkhauser.

Jurgens, H., Peitgen, H., & Saupe, D. (1990). The language of fractals. Scientific American, 263(2), 60-67.

Karayiannis, N.B., & Venetsonopoulos, A.N. (1993). Artificial neural networks: Learning algorithms, performance, evaluation, and applications. Boston: Kluwer Academics.

Kauffman, S. (1991). Antichaos and adaptation. Scientific American, 265, 78-84.

Kauffman, S. (1995). At home in the universe: The search for the laws of self-organization and complexity. New York: Oxford University Press.

Khanna, T. (1990). Foundations of neural networks. Reading, MA: Addison-Wesley.

Kiel, L.D., & Elliott, E. (Eds.). (1997). Chaos yheory in the social sciences: Foundations and applications. Ann Arbor, MI: University of Michigan Press.

Kidd, A.L. (1987). Knowledge acquisition for expert systems: A practical handbook. New York: Plenum.

Krippner, S. (1994). Humanistic psychology and chaos theory: The third revolution and the third force. Journal of Humanistic Psychology, 34, 48-61.

Kuhn, T.S. (1970). The structure of scientific revolutions (2nd ed.). Chicago, IL: University of Chicago Press.

Kurse, R., Gebhardt, J., & Klawonn, F. (1994). Foundations of fuzzy systems. New York: Wiley.

Langholz, G., & Kandel, A. (Eds.). (1996). Fuzzy expert system tools. New York: Wiley.

Levine, D.S. (May, 1995). Learning and encoding higher order rules in neural networks. Behavior Research Methods, Instruments, & Computers, 27, 178-182.

Levine, D.S., & Paricio, M. (Eds.). (1994). Neural networks for knowledge representation and inference. Hillsdale, NJ: Erlbaum.

Levy, S. (1993). Artificial life: A report from the frontiers where computers meet biology. New York: Vintage Books.

Lichtenberg, J., & Knox, P. (1991). Order out of chaos: A structural analysis of group therapy. Journal of Counseling Psychology, 38, 278-287.

Loye, D., & Eisler, R. (1987). Chaos and transformation: Implications of nonequilibrium theory for social science and society. Behavioral Science, 32, 53-65.

Mandelbrot, B. (1977). Fractals. San Francisco: W. H. Freeman.

Mandelbrot, B. (1990, September 15). Fractals--a geometry of nature. New Scientist, pp. 38-43.

Marshall, J. A. (1995). Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale. Neural Networks, 8, 335-362.

May, R. (1989, November 18). The chaotic rhythms of life. New Scientist, pp. 37-41.

McNeill, F.M., & Thro, E. (1994). Fuzzy logic: A practical approach. New York: Academic Press.

Medsker,L., & Liebowitz, J. (1994). Design and development of expert Systems and neural networks. New York: MacMillan.

Mehra, P, & Wah, B.W (Eds.). (1992). Artificial neural networks concepts and theory. Los Alamitos, CA: IEEE Computer Society Press.

Mikkulainen, R. (1996). Subsymbolic case-role analysis of sentences of embedded clauses. Cognitive Sciences, 20, 47-73.

Mockler, R., & Dologite, D. (1992). Knowledge-based systems: An introduction to expert systems. New York: MacMillan.

Murray, A.F. (1995). Applications of neural networks. Boston: Kluwer Academic Publications.

Murray, F.B. (1995). The teacher educator's handbook: Building a knowledge base for the preparation of teachers. San Francisco: Jossey-Bass.

Olson, D.L., & Courtney, J.F. (1992). Decision support models and expert systems. New York: MacMillan.

Olsen, L.F., & Schaffer, W.M. (1990). Chaos versus noisy periodicity for childhood epidemics. Science, 249, 499-504.

Page, G.F., Gomm, J.B., & Williams, D. (Eds.). (1993). Applications of neural networks to modelling and control. New York: Chapman & Hall.

Penrose, R. (1989). The emperor's new mind: Concerning computers, minds and the laws of physics. New York: Oxford University Press.

Percival, I. (1989, October 21). Chaos: A science for the real world, New Scientist, pp. 42-47.

Pool, R. (1989). Is it chaos, or is it just noise? Science, 243, 25-28.

Pool, R. (1989). Is it healthy to be chaotic? Science, 243, 604-607.

Popper, K.R. (1959). The logic of scientific discovery. London: Hutchinson.

Prigogine, I., & Stengers, I. (1984). Order out of chaos: Man's new dialogue with nature. New York: Bantam.

Rapaport, J., & Rapaport, S. (May 1, 1996). Neuro solutions. PC AI, 10(3), 40-41.

Reilly, D.L., & Cooper, L.N. (1995). An overview of neural networks: Early models to real world systems. In S.F. Zornester, J.L., Davis, C. Lau., & T. McKenna, (Eds.), An introduction to neural and electronic networks: Foundations to applications (pp. 229-250). San Diego, CA: Academic Press.

Reynolds, M.C. (Ed.). (1989). Knowledge base for the beginning teacher. New York: Pergamon.

Richards, R. (1996). Does the lone genius ride again? Chaos, creativity, and community. Journal of Humanistic Psychology, 36, 44-60.

Ridley, M. (1994). A neural network is watching you: The world in 1995. London: The Economist Group.

Ripley, B.D. (1996). Pattern recognition and neural networks. Cambridge, England: Cambridge University Press.

Robertson, R., & Combs, A. (Eds). (1995). Chaos theory in psychology and the life sciences. Hillsdale, NJ: Erlbaum.

Ruelle, D. (1989). Chaotic evolution and strange attractors. Cambridge: Cambridge University Press.

Ruelle, D. (1991). Chance and chaos. Princeton, NJ: Princeton University Press.

Samuels, J. (1997). Commentary on high-performance computing and neural and physiological processes: Focusing on the problem-solving process. Behavior Research Methods, Instruments, & Computing, 29, 84-85.

Sanchez-Sinencio, E.,& Lau, C.(Eds.). (1992). Artificial neural networks: Paradigms, applications, and hardware implementations. Piscataway, NJ: IEEE Press.

Schalkoff, R.J. (1997). Artificial neural networks. New York: McGraw-Hill.

Schmid, G.B. (1991). Chaos theory and schizophrenia: Elementary aspects. Psychopathology, 24, 185-198.

Schroeder, M. (1991). Fractals, chaos, power laws: Minutes from an infinite paradise. New York: W.H. Freeman.

Sethi, I., & Jain, A.K. (Eds.). (1991). Artificial neural networks and statistical pattern recognition: Old and new connections. New York: Elseiver Science Publishing Co.

Sharkey, N.E., & Sharkey, A.J.C. (1995). An analysis of catastrophic interference. Journal of Neural Computing, Artificial Intelligence, and Cognitive Research, 7, 301-329.

Skarda, C., & Freeman, W.J. (1987). How brains make chaos in order to make sense of the world. Behavioral and Brain Sciences, 10, 161-173.

Sprague, R.H., & Watson, H.J. (Eds.). (1993). Decision support systems: Putting theory into Practice (3rd ed). Englewood Cliffs, NJ: Prentice-Hall.

Steinbruner, J.D. (1974). The cybernetic paradigm. In J.D. Steinbruner (Ed.), The cybernetic theory of decision (pp. 47-87). Princeton, NJ: Princeton University Press.

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Thelen, E. (1990). Dynamical systems and the generation of individual differences. In J. Colombo & J. Fagen (Eds.), Individual differences in infancy (pp. 19-43). Hillsdale, NJ: Erlbaum.

Tirri, H. (1991). Implementing expert system rule conditions by neural networks. New Generation Computing, 10(1), 55-71.

Torres-Rivera, E., Smaby, M.H., & Maddux, C.D. (1996). Chaos theory and computers. Computers in the Schools, 12(4), 55-61.

Tsonis, A.A. (1992). Chaos: From theory to applications. New York: Plenum.

Turban, E. (1994). Decision support and expert systems: Management support systems (4th ed.). Upper Saddle River, NJ: Prentice-Hall.

Veelenturf, L.P.J. (1995). Analysis and applications of neural networks. Englewood Cliffs: Prentice-Hall.

Vemuri, V.R. (1992). Artificial neural networks: Concepts and controls. Los Alamitos, CA: IEEE Computer Society Press.

Walberg, H.J., Lu, D., Niemiec, R.P., & Walberg, H.J. III. (1996). A technique for objective analysis of qualitative evaluation data. Evaluation Practice, 18, 55-64.

Waldrop, M. (1992). Complexity: The emerging science at the edge of order and chaos. New York: Simon & Schuster.

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Wang, L., & Alkon, D.L. (Eds.). (1993). Artificial neural networks: Oscillations, chaos, and sequence processing. Los Alamitos, CA: IEEE Computer Society Press.

Wasserman, P.D. (1993). Advanced methods in neural computing. New York: Van Nostrand Reinhold.

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Wong, B.K., Bodnovich, T.A., & Selvi, Y. (August 1, 1995). A bibliography of neural network business applications research: 1988-1994. Expert Systems, 12, 253-262.

Yager, R.R., & Zadeh, L.A. (1992). An introduction to fuzzy logic: Applications in intelligent systems. Boston: Kluwer.

Yates, F.E. (1987). Self-organizing systems: The emergence of order. New York: Plenum Press.

Zadeh, L.A., & Kacprzyk, J. (1992). Fuzzy logic for the management of uncertainty. New York: Wiley.


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