Discrete Dynamics in Nature and Society

Book review: John Horgan, The end of science: Facing the limits of knowledge in the twilight of the scientific age

Absorbers: Definitions, properties and applications

Nonlinear feedback control of spatiotemporal chaos in coupled map lattices

Discrete dynamics in transitional economies

Necessary and sufficient conditions for oscillations of linear delay partial difference equations

Predictability problems of global change as seen through natural systems complexity description. 2. Approach

Numerical simulations through first order nonlinear difference equation to study highly ductile symmetric fold (HDSF) dynamics: A conceptual study

Predictability problems of global change as seen through natural systems complexity description. 1. General Statements

Simulation of earthquakes with cellular automata

Oscillation of certain partial difference equations

Chaotic attractors of two-dimensional invertible maps

Pattern recognition using chaotic neural networks

How and why do neurons generate complex rhythms with various frequencies?

Morphogenesis of an institution on a lattice game

Statistical polymer method: Modeling of macromolecules and aggregates with branching and crosslinking, formed in random processes

Discrete Dynamics in Nature and Society

Table of Contents

Table of Contents: 1998

Book review: John Horgan, The end of science: Facing the limits of knowledge in the twilight of the scientific age

Absorbers: Definitions, properties and applications

Nonlinear feedback control of spatiotemporal chaos in coupled map lattices

Discrete dynamics in transitional economies

Necessary and sufficient conditions for oscillations of linear delay partial difference equations

Predictability problems of global change as seen through natural systems complexity description. 2. Approach

Numerical simulations through first order nonlinear difference equation to study highly ductile symmetric fold (HDSF) dynamics: A conceptual study

Predictability problems of global change as seen through natural systems complexity description. 1. General Statements

Simulation of earthquakes with cellular automata

Oscillation of certain partial difference equations

Chaotic attractors of two-dimensional invertible maps

Pattern recognition using chaotic neural networks

How and why do neurons generate complex rhythms with various frequencies?

Morphogenesis of an institution on a lattice game

Statistical polymer method: Modeling of macromolecules and aggregates with branching and crosslinking, formed in random processes