Artificial Neural Networks and Genetic Algorithms

In Chapters 12 and 13, we have looked at mechanisms that might lead to an emulation of human reasoning capabilities. We approached this problem from a macroscopic point of view. In this chapter, we shall approach the same problem from a microscopic point of view, i.e., we shall try to emulate learning mechanisms as they are believed to take place at the level of neurons of the human brain and evolutionary adaptation mechanisms as they are hypothesized to have shaped our genetic code.

[1]  Philip D. Wasserman,et al.  Neural computing - theory and practice , 1989 .

[2]  S. Grossberg,et al.  The Adaptive Brain , 1990 .

[3]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[4]  Timo Sorsa,et al.  Neural networks in process fault diagnosis , 1991, IEEE Trans. Syst. Man Cybern..

[5]  H. S. Green,et al.  A zonal model of cortical functions. , 1989, Journal of theoretical biology.

[6]  S. Grossberg Studies of mind and brain : neural principles of learning, perception, development, cognition, and motor control , 1982 .

[7]  W. Pitts,et al.  A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.

[8]  Casimir C. Klimasauskas,et al.  The 1989 neuro-computing bibliography , 1989 .

[9]  Kumpati S. Narendra,et al.  Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.

[10]  F. J. Langdon,et al.  The Child's Conception of Space , 1967 .

[11]  John R. Rice,et al.  Solving elliptic problems using ELLPACK , 1985, Springer series in computational mathematics.

[12]  A. Bandura Social learning theory , 1977 .

[13]  Ronald David Laing,et al.  The Divided Self , 1994, British Journal of Psychiatry.

[14]  B.P. Yuhas,et al.  Integration of acoustic and visual speech signals using neural networks , 1989, IEEE Communications Magazine.

[15]  C. V. D. Malsburg,et al.  Frank Rosenblatt: Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms , 1986 .

[16]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Frank Rosenblatt,et al.  PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .

[18]  F. Attneave,et al.  The Organization of Behavior: A Neuropsychological Theory , 1949 .

[19]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[20]  Marvin Minsky,et al.  Perceptrons: An Introduction to Computational Geometry, Expanded Edition , 1987 .

[21]  E. Jones,et al.  An object-relations theory of the personality , 1954 .

[22]  S. Grossberg Neural Networks and Natural Intelligence , 1988 .

[23]  Idan Segev,et al.  Methods in neuronal modeling: From synapses to networks , 1989 .

[24]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[25]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[26]  M. Minsky The Society of Mind , 1986 .

[27]  Otto F. Kernberg,et al.  Borderline Conditions and Pathological Narcissism , 1975 .

[28]  Stephen Grossberg,et al.  Studies of mind and brain , 1982 .

[29]  Lawrence Davis,et al.  Training Feedforward Neural Networks Using Genetic Algorithms , 1989, IJCAI.

[30]  Philip D. Wasserman,et al.  Neuralsource: The Bibliographic Guide to Artificial Neural Networks , 1990 .

[31]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .