Evolutionary computation has started to receive significant attention during the last decade,
although the origins can be traced back to the late 1950's. This article surveys the history as …

Stem cells may be considered complex reactive systems because of their vast number in a
living system, their reactive nature, and the influence of local environmental factors (such as …

A comprehensive and hands-on introduction to the core concepts, methods, and
applications of agent-based modeling, including detailed NetLogo examples. The advent of …

In this groundbreaking book, Manuel DeLanda analyzes different genres of simulation, from
cellular automata and generic algorithms to neural nets and multi-agent systems, as a …

The second edition of" Thinking in Complexity", like the first edition, was also sold out in less
than one year. Meanwhile, Japanese and Chinese translations of the sec ond editon have …

After demonstrating adequately the usefulness of evolutionary multiobjective optimization
(EMO) algorithms in finding multiple Pareto-optimal solutions for static multiobjective …

An accessible and multidisciplinaryintroduction to cellular automata As the applicability of
cellular automata broadens and technology advances, there is a need for a concise, yet …

We consider “competitive coevolution,” in which fitness is based on direct competition
among individuals selected from two independently evolving populations of “hosts” and …

We organisms are sensorimotor systems. Things in the world come into contact with our
sensory surfaces, and we interact with them based on what that sensorimotor contact …

Multiple traveling salesman problem (MTSP) is a generalization of the classic traveling
salesman problem (TSP). Compared to TSP, MTSP is more common in real-life applications …