The recent striking success of deep neural networks in machine learning raises profound
questions about the theoretical principles underlying their success. For example, what can …

Genetic algorithms have been used in science and engineering as adaptive algorithms for
solving practical problems and as computational models of natural evolutionary systems …

Gene expression programming, a genotype/phenotype genetic algorithm (linear and
ramified), is presented here for the first time as a new technique for the creation of computer …

This article argues that the agent‐based computational model permits a distinctive approach
to social science for which the term “generative” is suitable. In defending this terminology …

Concepts, methods and techniques of statistical physics in the study of correlated, as well as
uncorrelated, phenomena are being applied ever increasingly in the natural sciences …

The scientific study of complex systems has transformed a wide range of disciplines in
recent years, enabling researchers in both the natural and social sciences to model and …

What is a pattern? How do we come to recognize patterns never seen before? Quantifying
the notion of pattern and formalizing the process of pattern discovery go right to the heart of …

The last ten years have seen an increasing interest, within cognitive science, in issues
concerning the physical body, the local environment, and the complex interplay between …

If you had to build an intelligent agent, where would you begin? What strikes you as the
special something that separates the unthinking world of rocks, waterfalls, and volcanos …