Abstract
Learning has always been related to the development of intelligence, but there are different views about the dynamics of this relation. A conservative view of learning, developed in the frame of cognitive psychology is that of “knowledge acquisition” In a traditional behaviorist approach, on the other hand, learning is related to “adaptation”, “homeostasis”, etc. Finally, the modern developments in neural science reveal the very complex behavioral, cognitive and neurophysiological structure of some basic mechanisms of learning which are active already at the level of conditioning and other “simple” cognitive activities.
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
Berg, B.A. and Stamatescu, I.-O. (1998): “Neural Networks and Confidence Limit Estimates” in Meyer-Ortmanns, H., and Klümper, A. Eds, (1998): Field Theoretical Tools for Polymer and Particle Physics (Springer, Heidelberg)
Boehm, G. and Rudolph, E. (eds) (1994), Individuum, (Klett-Cotta, Stuttgart)
Cassirer, E. (1987): Zur Modernen Physik, (Wissenschaftliche Buchgesellschaft, Darmstadt)
Churchland, P.M. (1989) A Neurocomputational Perspective, (MIT Press, Cambridge, MA)
Geraci, G. (1997), “A molecular mechanism for the evolution of eukariotes”, in Proceedings of the Conference Philosophy of Biology of the Académie Internationale de Philosophie des Sciences, Vigo, 1996
Helmholtz, H. v. (1987): Abhandlungen zur Philosophie und Geometrie (Junghans-Verlag, Cuxhaven)
Kandel, E.K., Schwartz, J.H., Jessel, T.M. (1995): Essentials of Neuroscience and Behavior (Appleton and Lange, Norwalk)
Kohonen, T. (1989): Selforganization and Associative Memory (Springer, Berlin)
McClelland, J.L., McNaughton, B.L., O’Reilly, R.C. (1995): “Why are there complementary learning systems in the hippocampus and neocortex: insights from the success and failures of connectionist models of learning and memory”, Psychological Review, 102, 419
McCulloch, W.S. and Pitts, W.A. (1943): “A Logical Calculus of the Ideas Immanent in the Nervous Activity”, Bull. Math. Biophys. 5, 115.
Mlodinow, L. and Stamatescu, I.-O. (1985):“An evolutionary procedure for machine learning”, Int. Journal of Computer and Inform. Sciences, 14, 201
Moltmann, J. (1992): “Die Entdeckung der anderen” (The discovery of the others), in Jürgen Audretsch (ed), Die andere Hälfte der Wahrheit (C.H. Beck, München).
Putnam, H. (1992): Representation and Reality (MIT Press, Cambridge, MA)
Riedmiller, M., Spott, M., Weisbrod, J. (1997): “First results on the application of the Fynesse control architecture” IEEE 1997 Int. Aerospace Conference, Aspen; “Fynesse: A hybrid architecture for self-learning control” Techn. report. University of Karlsruhe. Submitted for publication.
Rumelhart, D.E. and McClelland, J.L. (eds) (1986): Parallel Distributed Processing: Explorations in the Microstructure of Cognition (MIT Press, Cambridge, MA)
Stamatescu, I.-O. (1997): “The Neural Network Approach” in Proceedings of the Conference Philosophy of Biology of the Académie Internationale de Philosophie des Sciences, Vigo, 1996
Wasserman, Ph.D. (1993): Advanced Methods in Neural Computing (Van Nostrand Reinhold)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Stamatescu, IO. (1998). Questions Concerning Learning in Neural Networks. In: Ratsch, U., Richter, M.M., Stamatescu, IO. (eds) Intelligence and Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03667-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-662-03667-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08358-7
Online ISBN: 978-3-662-03667-9
eBook Packages: Springer Book Archive