SKETCH FOR A DYNAMIC THEORY OF LANGUAGE

One important issue that modern communication theory does not deal with is the physical substratum of information. We advance here the thesis that information is generated by the ever increasing complexity of a “self”‐organizing hierarchical system—which evolves via cascading bifurcations giving rise to broken symmetry. We call “Language” the process which reveals that information, namely the cognitive gadget which “compresses” the complexity generated by broken symmetry‐thereby providing “minimal length” algorithms for triggering an “internal representation” or the replication of the physical system involved. This compressibility has an obvious “survival value” since it allows the possessor of language to reduce and predict a rapidly changing environment. In characterizing language, like any open system far from equilibrium, the usual concept of free energy mediating a conflict between internal energy and entropy—is not only irrelevant but also wrong. The concepts of “complexity” and organization seem here more pertinent.

[1]  R. Pérez,et al.  Perception of Random Dot Interference Patterns , 1973, Nature.

[2]  A. Scott,et al.  Distributed multimode oscillators of one and two spatial dimensions , 1970 .

[3]  Alwyn C. Scott,et al.  Tunnel Diode Arrays for Information Processing and Storage , 1971, IEEE Trans. Syst. Man Cybern..

[4]  J S Nicolis,et al.  Bifurcation in non-negotiable games: a paradigm for self-organisation in cognitive systems. , 1979, International journal of bio-medical computing.

[5]  G. Chaitin Randomness and Mathematical Proof , 1975 .

[6]  Tetsuro Endo,et al.  Mode analysis of a two-dimensional low-pass multimode oscillator , 1976 .

[7]  T. Sejnowski,et al.  Storing covariance with nonlinearly interacting neurons , 1977, Journal of mathematical biology.

[8]  Tetsuro Endo,et al.  Multimode oscillations in a coupled oscillator system with fifth-power nonlinear characteristics , 1980 .

[9]  J S Nicolis,et al.  A model on the role of noise at the neuronal and the cognitive levels. , 1976, Journal of theoretical biology.

[10]  Tetsuro Endo,et al.  Mode analysis of a multimode ladder oscillator , 1976 .

[11]  P. Anderson More is different. , 1972, Science.

[12]  R. Parmentier Lumped Multimode Oscillators in the Continuum Approximation , 1972 .

[13]  John S. Nicolis,et al.  A frequency entrainment model with relevance to systems displaying adaptive behaviour , 1973 .

[14]  Hans J. Bremermann,et al.  Quantitative Aspects of Goal-Seeking Self-Organizing Systems* , 1967 .

[15]  J. Guckenheimer,et al.  The dynamics of density dependent population models , 1977, Journal of mathematical biology.