REDES NEURAIS, PERCEPTRONS, GENÉTICA, FUZZY LOGIC, CAOS, FRACTAIS E CATÁSTROFE

UMA BIBLIOGRAFIA SELECIONADA

ARTIGOS

Decision Making in a Fuzzy Environment
Bellman, R. & Zadeh, L.
Management Science, 17, pp. B141-64
1970

Bibliography on Chaos
Zhang Shu-yu
World Scientific, Singapore
1991

The 1989 Neuro-Computing Bibliography
Klimasauskas, Casimir C.
A Bradford Book & The MIT Press (624 pp.)
1989

Chaotic Time-Series Prediction using Artificial Neural Networks
Barlett, E.B.
Abstracts from 2nd Government Neural Network applications Workshop, Session III
September 1991

Proof that Properly Discounted Present Values of Assets Vibrate Randomly
Samuelson,P.A.,
Bell Journal of Economics and Management Science, vol.4, 41-49
1973

A Knowledge-Based Technical Analysis System for Financial Decision-Making
Yasunobo, Chizuko, Tetsuya Maruoka, Kazuhide Shigemi and Makoto Shimazaki
(in) The Proceedings of the Pacific Rim International Conference on Artificial Intelligence '90, pp. 89-94
November, 14-16, 1990

A Neural Network for Bankruptcy Prediction
Odom, M.D. & Sharda, R.
International Joint Conference on Neural Networks, vol.II, pp.163-168, San Diego, Calif.
June 17-21, 1990

The Accuracy of Extrapolation (Time Series) Methods: Results of a Forecasting Competition
Makridakis, S. et al.
Journal of Forecasting, vol.1, pp. 111-153
1982

Why Expert Systems Fail
Coats, P.K.
Financial Management, p.81
August 1988

Another Look at the President's Letter to Stockholders
Swales, G.S.,Jr
Financial Analysis Jounal, pp. 71-73
March-April 1988

Applications of Neural Net Algorithms to Nonlinear Time Series
Pethel, S.D, Bowden,C.M, & Sung,C.C.
Abstracts from 2nd government neural networks apllications workshop, Session III
September 1991

Predicting Bank Failures: a Neural Network Approach
Tam, K.Y & Kiang, M.
Applied Artificial Intelligence, 4,4, pp. 265-282
1990

Predicting Failure of Savings and Loan Associations
Pantalone, C. & Platt, M.
AREUEA Journal, 15(2), pp. 46-64
1987

Prediction of Mortgage Loan Performance with a Multiple Neural Network Learning Systems
Ghosh, S., Collins, E. & Scofield, C.
Proceedings of the First Annual Meeting of the International Neural Network Society
September, 1988

Fuzzy Mathematical Models in Economics
Ponsard, C.
Fuzzy Sets and Systems, 28, pp.273-83
1989

A Short Hystory of Financial Ratios Analysis
Horrigan, J.O.
The Accounting Review, vol.43, pp. 284-294
April 1968

Learning Logic
Parker, D.B.
Office of Technology Licensing, Stanford University, Invention Report, S81-64, File 1
1982

Intellectual Property Protection for Neural Networks
Wenskay, Donald
Neural Networks, 3:2, 229-236
1990

Entropy and the Recognition of Fuzzy Letters
Meisels, Amnon, Abraham Kandel & Gay Gecht
Fuzzy Sets and Systems, 31, pp. 297-309
1989

Automotive Control System Diagnostics Using Neural Nets for Rapid Pattern Classific. of Large Data Sets
Marko,K., James,J. Dosdall,J & Murphy, J.
Proceedings IJCNN, vol.II, pp.13-16
June 1989

A Desktop Neural Network for Dermatology Diagnosis
Yoon,Y., Brobst, R.W., Bergstresser, P.R. & Peterson, L.L.
Journal of Neural Network Computing, vol.1, pp. 43-52
Summer 1989

Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets
Gorman, R,P. & Sejnowski, T.J.
Neural Networks, vol.1,no.1, pp.75-90
1988

An Equation for Continuous Chaos
Rössler,O.E.
Phys.Lett. 57A, pp.397-398
1976

Caos, Fractal e Psiquiatria
Bassitt, W., Estevão, G. e Bassitt, D.P.
TEMAS, S.Paulo, 44:161-170
1992

Chaos: a Tutorial for Engineers
Parker,T.S. & Chua,L.O.,
Proceedings of the IEEE, vol.75, no.8, 982-1008
August 1987

Crisis, Sudden Changes in Chaotic Attractors, and Transient Chaos
Grebogi, C., Ott, E., Yorke, J.A.
Physica 7D, pp.181-200
1983

Measurement of the Lyapunov Spectrum From a Chaotic Time Series
Sano, M. & Sawada, Y.
Phys.Rev.Lett. 55, pp.1082
1985

Period Three Implies Chaos
Li, T.Y. & Yorke, J.A.
American Mathematical Monthly 82, pp.985-992
1975

Science and Complexity
Weaver, W.
American Scientist, 36, pp.536-44
1948

Simple Mathematical Models With Very Complicated Dynamics
May, R.M.
Nature 261, pp.459-467
1976

A System-Theoretic View of Behavior Modification
Zadeh, Lofty
(in) Beyond the Punitive Society, by Harvey Wheeler, ed., pp. 160--70
W. H. Freeman, San Francisco
1973

Backpropagation with Expected Source Values
Samad, Tariq
Neural Networks, 4:5, 615-618
1991

Making Computers Think like People
Zadeh, LoftyIEEE Spectrum, pp. 26-32
August, 1984

Data Transformation Explains the Basics of Neural Networks
Connor, D.
EDN, pp. 138-144
May 12, 1988

Learning Systems Architectures Composed of Multiple Learning Modules
Reilly, D.L., Scofield, D., Elbaum, C., and Cooper, L.N.,
Proceedings of the First IEEE International Conference on Neural Networks
ICNN-87 volII 495-503
June 1987

Generalization Accuracy of Probabilistic Neural Networks Compared with Backpropagation Networks
Specht, Donald F., & Shapiro, Philip D.
Lockheed Missiles & Space Co.,Inc.
Independent Research Project RDD 360, I-887-I-892
1991

Sensitivity Analysis for Feedforward Neural Networks with Differentiable activation functions
Hashem,M.
International Joint Conference on Neural Networks, Baltimore, MD
1992

Neural Nets: They Learn from Examples
Samdani, G.
Chemical Engineering, vol. 97(8), pp. 37-45
August 1990

Neural Network Learning and Statistics
White, Halbert
AI Expert, December, 48-52
1989

Neural Networks: The Buck Stops Here (buck = 1 dólar)
Bower, B.
Science
August 6, 1988

What Size Net Gives Valid Generalization?
Baum, E.B. & Haussler, D.
Neural Comput., 1, pp. 151-160
1989

Theory of Backpropagation Neural Network
Hecht-Nielsen R.
Proceedings of the International Conference on Neural Networks, vol.1, pp.593-605
1989

Why Didn't Box-Jenkins Win (Again)?
Pack, D.J. & Downing, D.J.
Proceedings, Third International Symposium on Forecasting, Philadelphia
1983

Why Tanh? Choosing a Sigmoidal Function
Kalman, B.L. & Kwasny,S.C.
International Joint Conference on Neural Networks, Baltimore, MD
1992

An Empirical Study of Learning Speed in Backpropagation Networks
Fahlmann, Scott E.
CMU Technical Report CMU-CS-88-162
June, 1988

An Empirical Test of Automatic Forecasting Systems
Sharda,R. & Ireland, T.
ORSA/TIMS Meeting, New Orleans
May 1987

An Introduction to Computing with Neural Nets
Lippman,R.P.
IEEE ASSP Magazine, pp. 4-22
April 1987

On the Relations Between Discriminat Analysis and Multilayer Perceptrons
Gallinari, P., Thiria, S., Badran, F., & Fogelman-Soulie,F.
Neural Networks, 4:349-360
1991

Uniqueness of the Weights for Minimal Feedforward Nets with a Given Input-Output Map
Sussmann, Hector J.
Neural Networks, 5:4, 589-593
1992

Inside a Neural Network
Howell, Jim
AI Expert, November, 29-33
1990

Interpreting Neural-Network Connection Weights
Garson, David G
AI Expert, April, 47-51
1991

Cognitive and Psychological Computations with Neural Models
Anderson, J.A.
IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-13, 799-815
September-October 1983

Extensional versus Intuitive Reasoning: The Conjunction Fallacy in Probability Judgement
Tversky, A & Kahneman, D.
Psychological Review, 90, pp. 293-315
1983

ARTMAP: Supervised Real-Time Learning and Classification of Nonstationary Data by a Self-Organizing Neural Network
Carpenten, G.A., & Grossberg, S.
Neural Networks, 4:565-588
1991

Multilayer Feedforward Networks are Universal Approximators
Hornik, K., Stinchcombe M. & White, H.
Neural Networks, 2, pp. 359-366
1989

Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
Zadeh, Lofti
IEEE Transaction on Systems, Man and Cybernetics SMC-3(1), pp. 28-44
January 1973

Characterizing Irregularity
Dyson, F.
Science 200, pp.677-678
1978

Divisibility - with Visibility
Sved, M.
Mathematical Intelligencer 10, 1 pp.56-64
1988

Generation and Display of Geometric Fractals in 3D
Norton, V.A.
Computer Graphics 16,3, pp.61-67
1982

Negative Fractal Dimensions and Multifractals
Mandelbrot, B.B.
Physica A 163, pp. 306-315
1990

Optimizing Multilayer Neural Networks Using Fractal Dimensions of Time-Series Data
Matsuba, Masui & Hebishima
Internation Joint Conference on Neural Networks, Baltimore, MD
1992

Sur une Curbe Qui Remplit Toute Une Aire Plane
Peano, G.
Mathematische Annalen 36, pp.157-160
1890

A Computational Approach to Fuzzy Quantifiers in Natural Languages
Zadeh, L.A.
Computers and Mathematics, vol.9, no.1, 149-184
1983

A Fuzzy Model of Concept Representation in Memory
Wagner, W.
Fuzzy Sets and Systems, 6, pp.11-26
1981

Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
Mamdani, E.H.
IEEE Transactions on Computers, vol. C-26, no. 12, 1182-1191
December 1977

Concerning the Laws of Contradiction and Excluded Middle
McGill, V.J.
Philosophy of Science, 6, pp. 196-211
1939

Do We Need Fuzzy Logic?
Haack, S.
International Journal of Man-Machine Studies, 11, pp. 437-45
1979

Fuzziness vs. Probability
Kosko, B.,
International Journal of General Systems, vol.17, no.2, 211-240
1990

Fuzzy Logic and Approximate Reasoning
Zadeh, Lofty
Synthese, 30, pp. 407-28
1975

Fuzzy Sets as a Basis for a Theory of Possibility
Zadeh, Lofty
Fuzzy Sets and Systems, 1, pp. 3-28
1978

Fuzzy Sets versus Probability
Zadeh, Lofty
Proceeding of the IEEE, 68(3), pp. 421
1980

Fuzzy Theory: The Science of Human Intuition
Nishikawa, T.
Japan Computer Quaterly, 79, pp. 25-37
1989

Fuzzy Tools for Expert Systems
Schwartz, Tom J.
AI Expert, February, 34-41
1991

In Defense of Probability
Cheeseman, P.
Proceedings of the IJCAI-85, 1002-1009
August 1985

Integrating Fuzzy Logic into Neural Nets
Cox, Earl
AI Expert, June, 43-47
1992

Knowledge Processing with Fuzzy Cognitive Maps
Taber, W. R.
Expert Systems with Applications, vol.2, no.1, 82-87
February 1991

Making Fuzzy Logic "Clear"
Klimasauskas, Casimir C.
Advanced Technology for Developers, 1, May, 8-12
1992

Paradoxes and Many-Valued Set Theory
Maydole, R.
Journal of Philosophical Logic, 4, pp. 269-91
1975

Precise Past, Fuzzy Future
Gaines, Brian R.
International Journal of Man-Machine Studies, 19, pp. 117-34
1983

Probability, Frequency and Reasonable Expectation
Cox, R.T.
American Journal of Physics, 17, pp. 1-13
1946

Probabilty Measures of Fuzzy Events
Zadeh, Lofty
Journal of Mathematical Analysis and Applications, 23(2), pp. 421--27
August 1968

Science and Vagueness
Benjamin, A.C.
Philosophy of Science, 6, pp. 422-31
1939

Solving Problems with Fuzzy Logic
Cox, Earl
AI Expert, March, 28-37
1992

The Calculus of Fuzzy If/Then Rules
Zadeh, Lotfi A.
AI Expert, March, 23-27
1992

The Present Position in Bayesian Statistics
Lindley, D.V.
Statistical Science, 5(1), pp. 44-89
1990

Toward a Theory of Fuzzy Systems
Zadeh, Lofty
(in) Aspects of Network and Systems Theory, by R.E.Kalman & N. DeClaris, eds, pp. 469-90
Holt, Rinehart & Winston, NY
1971

Vagueness and Logic
Hempel, C.
Philosophy of Science, 6, pp.163-80
1939

Vagueness
Russell, Bertrand
Australasian Journal of Psychology and Philosophy, 1, pp. 84-92
1923

Why Fuzzy Logic Beats Black-or-White Thinking
Armstrong, R.
Business Week, pp. 92-93
May 21, 1990

Why Isn't Everyone a Bayesian?
Efron, B.
(in) Readings in Uncertain Reasoning, by Glenn Shafer & Judea Pearl, eds., pp. 21-25
Morgan Kaufmann Publishers, San Mateo, CA
1990

Applying Genetics to Fuzzy Logic
Karr, Chuck
AI Expert, March, 39-43
1991

Genetic Algorithms for Fuzzy Controllers
Karr, Chuck
AI Expert, February, 26-33
1991

Genetic Algorithms
Wayner, Peter
BYTE, January, 361-368
1991

A Fast and Robust Learning Algorithm for Feedfoward Neural Networks
Weymaere, Nico & Martens, Jean-Pierre
Neural Networks, 4:3, 361-369
1991

Are OR (Operations Research) Techniques Being Used?
Ledbetter, W. & Cox, J.
Industrial Engineering, vol.9, no.2, pp. 19-21
1977

A New Approach to Linear Filtering and Prediction Problems
Kalman, R.E.
Transaction of the ASME, Journal of Basic Engineering, vol.82, 35-46
1960

Nearest Matched Filter Classification of Spatiotemporal Patterns
Hecht-Nielsen, Robert
Applied Optics, May 15, 26:10
1987

New Results in Linear Filtering and Prediction Problems
Kalman, R.E., & Bucy, R.,
Transactions ASME, J.Basic Eng. Series D, vol.83, 95-108
1961

Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models
White, Halbert
Journal of the American Statistical Association, vol. 84, No. 408, pp. 1003-1013, December
1989

Economic Prediction Using Neural Networks: The Case of IBM Daily Stock Returns
White, Halbert from Dept. of Economics, UCLA, San Diego, CA
1989 ?

Neurove$t Journal
Randall B. Caldwell, Publ.
Haymarket, VA 22069-0764 USA

LIVROS

Encyclopedia of Artificial Intelligence
Shapiro, Stuart C., ed.
John Wiley, NY
1990

The VNR Concise Encyclopedia of Mathematics
W. Gellert, H. Hustner, M. Hellwich, and H. Kastner
Published by Van Nostrand Reinhold Comp
1975

Chaos and Order in the Capital Market
Peters, E.
John Wiley & Sons, NY
1991

Chaotic Dynamics in Economic Models
Hommes, C.H.
Wolters-Noordhoff, Groningen
1991

A History of Mathematics
Cajori, Florian
Macmillan Co., NY
1961

An Introduction to Chaotic Dynamical Systems
Devaney, R.L.
Addison-Wesley, Redwood City
1989 (2nd. ed.)

Catastrophe Theory for Scientists and Engineers
Gilmore,R.,
Wiley, NY
1981

Deterministic Chaos
Schuster, H.G.
VCH Publishers, Weinheim, NY
1988

Étude Dynamique des Pôlynomes Complexes (ESGOTADO)
Douady, A. & Hubbard, J.H.
Publications Mathematiques d'Orsay 84-02, Université de Paris-Sud
1894

Nonlinear Dynamics and Chaos
Thompson, J.M.T. & Stewart, H..B.
Wiley, Chichester
1986

Practical Numerical Algorithms for Chaotic Systems
Parker, T.S. & Chua, L.O.
Springer-Verlag, NY
1989

Universality in Chaos
Cvitanovic, P., ed.
Adam Hilger, NY
1989 (2nd. ed)

Handbook of Neural Computing Applications
Maren, Alianna, Harston, Craig and Pap, Robert
Academic Press, NY
1990

Adaptative Pattern Recognition and Neural Networks
Pao, Y.H.
Addison-Wesley
1989

Neural Network PC Tools: A Practical Guide
Eberhart, Russel, C, & Dobbins, Roy W., eds
Academic Press, San Diego, CA
1990

Neural Networks: Algorithms, Applications and Programming Techniques
Freeman, James A. & Skapura, David M.
Addison-Wesley Publishing Co, Reading, MA
1992

Neural Networks: A Comprehensive Foundation
Haykin, Simon
Macmillan College Publishing Company
1994

Advanced Algorithms for Neural Networks: A C++ Sourcebook
Masters, Timothy
John Wiley & Sons, Inc.
1995

Signal and Image Processing with Neural Networks: a C++ Sourcebook
Masters, Timothy
John Wiley & Sons, Inc.
1994

Neural Networks for Signal Processing
Kosko, B.
Prentice Hall, Englewood Cliffs, Nj
1991

Neural Works: An Introduction to Neural Computing
Klimasauskas, C.C.
NeuralWare, Inc., Sewickley, PA
1988

Heuristics: Intelligent Search Strategies for Computer Problem Solving
Pearl, J.
Addison-Wesley, Reading, MA
1984

Neural Computing: Theory and Practice
Wasserman, Philip D.
Van Nostrand Reinhold
1990

Neurocomputing
Hecht-Nielsen, Robert
Addison-Wesley Publ. Co. Reading, MA
1991

Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences
Werbos, P.J.
PhD Dissertation in Statistics, Harvard University
August 1974

An Introduction to Neural and Electronic Networks
Zornetzer, Steven, Davis, Joel and Lau, Clifford, eds.
Academic Press, NY
1990

Foundations of the Theory of Learning Systems
Tsypkin, Y. Z.
Academic Press, Orlando, FL
1973

Organization of Behavior (ESGOTADO)
Hebb, Donald
John Wiley & Sons, NY
1949

Artificial Neural Systems
Sympson, Patrick K.
Elmsford, NY Pergamon Press
1990

Concise History of Logic (ESGOTADO)
Scholz, H.
Philosophical Library, NY
1961

Fuzzy Logic
Daniel McNeill & Paul Freiberger,
Published by Simon & Schuster Ed., ISBN 0-671-73843-7
Rockefeller Center, 1230 Avenue of the Americas, New York, NY, 10020
1993

Fuzzy Reasoning and Its Applications (ESGOTADO)
Mamdani, E. & Gaines, B., eds.
Academic Press, NY
1981

Fuzzy Set Theory and Its Applications
Zimmermann, H.J.
Kluwer Academic Publishers, Boston, 2nd. edition
1991

Fuzzy Sets, Uncertainty and Information
Klir, George J. & Folger, Tina A.
Prentice-Hall, Englewood Cliffs, NJ
1988

Many-Valued Logic
Rescher, N.
McGraw-Hill, NY
1969

Mathematics: The Loss of Certainty
Kline, M
Oxford University Press, NY
1980

Simulation, Knowledge-Based Computing and Fuzzy Statistics
Negoita, Constantin V. & Ralescu, Dan
Van Nostrand Reinhold, NY
1987

Genetic Algorithms in Search, Optimization and Machine Learning
Goldberg, David E.
Addison-Wesley, Reading, MA
1989

Handbook of Genetic Algorithms (ESGOTADO)
Davis, Lawrence
Van Nostrand Reinhold, NY
1991

Algorithms for Minimization without Derivatives
Brent, Richard
Prentice-Hall, Englewood Cliffs, NJ
1973

Algorithms
Sedgewick, Robert
Addinson-Wesley Publishing Co., Reading, MA
1988

Cluster Analysis for Researchers
Romesburg, H.C.
Lifetime Learning Publications, Belmont, Calif.
1984

Computational Methods in Optimization
Polak,E.
Academic Press, NY
1971

Computer Methods for Mathematical Computations (ESGOTADO)
Forsythe, George E., Malcolm, Michael A. & Moler, Cleve B.
Prentice-Hall, Englewood Cliffs, NJ
1977

Differential Equations, Dynamical Systems and Linear Algebra
Hirsch, M.W & Smale, S.
Academic Press, NY
1974

Matrix Computations
Golub, G.H. & Loan, C.F.
Johns Hopkings, Baltimore
1989

Numerical Methods for Unconstrained Optimization and Nonlinear Equations
Dennis, J.E.
Prentice-Hall, Englewook Cliffs, N.J.
1983

Numerical Methods that Work
Acton, Forman S.
Harper & Row, New York
1970

Numerical Recipes in C
Press, William H., Flannery, B., Teukolsky,S., & Vetterling,W.
Cambridge University Press, NY
1988

Optimal Filtering
Anderson, B.D.O. & Moore, J.B.
Prentice-Hall, Englewood Cliffs, NJ
1979

Order in Chaos
Campbell, E. & Rose,H. edsNorth-Holland, Amsterdan
1983

Order out of Chaos (ESGOTADO)
Prigogine, I. & Stenger, I.
Bantan Books, NY
1984

Practical Optimization
Gill, Philip E, Murray, Walter, & Wright, Margaret H.
Academic Press, San Diego, CA
1981

Does God Play Dice?
Stewart, J.
Ingram Books
1989

Robust Statistics
Huber, P.J.
Wiley, NY
1981

The Advanced Theory of Statistics (3 vols)
Kendall,M. & Stuart A.
Hafner Publishing Co, NY
Vol.1:1969, Vol.2:1973, Vol.3:1976

The Beauty of Fractals - Images of Complex Dynamical Systems
Peitgen, H.O. & Richter, P.H.
Springer-Verlag, Berlin
1986

The Science of Fractal Images
Barnsley, M.F et al.
Springer-Verlag, New York
1988

Enter The Complexity Lab: Where Chaos Meets Complexity
Roetzheim, W. H.
SAMS Publishing, Prentice-Hall Computer Publishing, Indianapolis, Indiana, 5th Edition
1997

Fractals, Chaos, Power Laws: Minutes from an Infinite Paradise
Schroeder, M.
W. H. Freeman Co., New York
1991

Caos: A Criação De Uma Nova Ciência
Gleick, James
Editora Campus, RJ, Trad. da edição americana de 1987
1990

Acaso e Caos
Ruelle, David
Editora UNESP, trad. da ed. francesa de 1991
1993

Strange Atractors: Creating Patterns in Chaos
Sprott, Julien C.
M & T Books, 115 West 18th Street, NY 10011
1991

Chaos And Fractals: New Frontiers of Science
Peitgen & Jurgens & Saupe
Springer-Verlag, NY
1992

Sutil É O Senhor: A Vida e a Obra de Albert Einstein
Pais, Abraham
Ed. Nova Fronteira, RJ, trad. da edição inglesa de 1992
1995

Computational Recreations in Mathematica
Vardi, Ilan
Addison-Wesley Publ. Co.
1991

Neural Networks in C++: An Object Oriented Framework for Building Connectionist Systems
Blum, Adam
John Wiley & Sons, Inc
1992

Neural Network Design and The Complexity of Learning
Judd, J. S.
The MIT Press
1991

Foundations of Neural Networks
Khanna, Tarun
Addison-Wesley Publ. Co.
1990

Parallel Distributed Processing: Foundations (vol.1) and Psychological and Biological Models (vol.2)
McClelland, J. & Rumelhart, D.
The MIT Press, Cambridge, Mass.
1986

Practical Neural Networks Recipes in C++
Masters, Timothy
Academic Press, Inc., NY
1993

Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance
Trippi, R.R. & Turban, E.
Probus Publ. Co., Chicago, Illinois
1993

Simulating Neural Networks with Mathematica
Freeman, J. A.
Addison-Wesley Publ. Co.
1994

Perceptrons: An Introduction to Computational Geometry
Minsky, Marvin & Papert, Seymour
The MIT Press
1969

Design for a Brain: The Origin of Adaptative Behaviour
Ashby, W. R.
Chapman & Hall Ltd. and Science Paperbacks
1960

Cibernética, ou o Controle e a Comunicação no Animal e na Máquina
Wiener, Norbert
Editora da USP e Editora Polígono, SP (edição americana de 1948)
1970

Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
Rosenblatt, F.
Spartan Books, Washington
1962

Neural Networks and Fuzzy Systems: a Dynamical Systems Approach to Machine Intelligence
Kosko, Bart
Prentice-Hall International, Inc.
1992