This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Methodological Guidelines for Modeling and Developing MAS-Based Simulations The
intersection of agents, modeling, simulation, and application domains has been the subject …

This chapter discusses the intersection between two research fields:(1) Multi-Agent Systems
(MAS) and (2) computer simulation. On the one hand, MAS refer to a computer research …

Cell pattern generation has a fundamental role in both artificial and natural development.
This paper presents results from a model in which a genetic algorithm (GA) was used to …

We present a model of multicellular development controlled by a gene network in which the
connectivity is determined by the proximity of sequences in N-dimensional space. Thus the …

We present a model of three-dimensional artificial embryogenesis in which a multicellular
embryo develops controlled by a continuous regulatory network encoded in a linear …

A model for co-evolving behavior control and morphological development is presented in
this paper. The development of the morphology starts with a single cell that is able to divide …

This article deals with the links between the enaction paradigm and artificial intelligence.
Enaction is considered a metaphor for artificial intelligence, as a number of the notions …

We presented swarm grammars as an extension of Lindenmayer systems. Instead of
applying a single ('turtle') agent to convert linear strings into 3D structures, we use a swarm …

We recently introduced swarm grammars as an extension of Lindenmayer systems to model
dynamic growth processes in 3D space through a large number of interacting (swarm) …