The Organic Future of Information Technology

Classically, programs are written with specific applications in mind. Organic computing will be based on a general architecture, which apart from libraries of standard algorithms will consist of generic mechanisms of organization. Users can then create specific applications by defining goal hierarchies, by instruction and the pointing out of examples. Systems will respond to these influences by adapting control parameters so as to direct the ontogenetic process of self-organization and by organizing sample material.

[1]  H. Haken Synergetics: an Introduction, Nonequilibrium Phase Transitions and Self-organization in Physics, Chemistry, and Biology , 1977 .

[2]  G A Petsko,et al.  Chemistry and biology. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[3]  I. Prigogine,et al.  Order out of chaos , 1984 .

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

[5]  Donald A. Waterman,et al.  Pattern-Directed Inference Systems , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  P. H. de Vries,et al.  Self-organization in the brain , 1998 .

[7]  Christoph von der Malsburg,et al.  Dynamic link architecture , 1998 .

[8]  B. Goodwin How the Leopard Changed Its Spots: The Evolution of Complexity , 1995 .

[9]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[10]  Frederick Hayes-Roth,et al.  AN OVERVIEW OF PATTERN-DIRECTED INFERENCE SYSTEMS , 1978 .

[11]  C. C. Goren,et al.  Visual following and pattern discrimination of face-like stimuli by newborn infants. , 1975, Pediatrics.

[12]  A. M. Turing,et al.  The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.

[13]  Elie Bienenstock,et al.  Neural Networks and the Bias/Variance Dilemma , 1992, Neural Computation.

[14]  C. Gallistel The Replacement of General-Purpose Learning Models with Adaptively Specialized Learning Modules , 2000 .

[15]  L B Cohen,et al.  Concept acquisition in the human infant. , 1979, Child development.

[16]  K. Kaplan H. Haken, Synergetics. An Introduction. Nonequilibrium Phase Transitions and Self-Organization in Physics, Chemistry, and Biology (2nd Edition). XI + 355 S., 152 Abb. Berlin—Heidelberg—New York 1978. Springer-Verlag. DM 66,00 , 1980 .

[17]  Ilya Prigogine,et al.  Order out of chaos , 1984 .