We present a state-of-the-art survey of parallel meta-heuristic strategies, developments, and
results. We discuss general design and implementation principles that apply to most meta …

Agent-Based Models are useful to describe and understand social, economic and spatial
systems' dynamics. But, beside the facilities which this methodology offers, evaluation and …

The last few decades of physics, chemistry, biology, computer science, engineering, and
social sciences have been marked by major developments of views on cognitive systems …

This paper deals with the application of the emergence paradigm to communication
management in wireless instrumentation systems. We exploit the emergence resulting from …

An open issue in self-organisation is how to engineer emergent behaviours. This issue is
also of interest for engineering holonic multi-agent systems as any level of a holarchy is …

We investigate the search properties of pre-evolutionary random catalytic reaction networks,
where reactions might be reversible, and replication is not taken for granted. Since it counts …

Evolution is becoming a comprehensive tool for automated problem solving that enables the
systems to attain their optimal form. Evolution includes the three basic methodologies of …

In this article we consider the problem of partitioning a signal sequence into a set of signal
sub-sequences, in such a way that each sub-sequence can be adequately modeled by a …

Research initiatives on both sides of the Atlantic try to utilize the operational principles of
organisms and brains to develop biologically inspired, artificial cognitive systems. This …

Morphogenesis is the process that gives shapes to organisms from an embryonic stage
through a sequence of cell divisions. Starting from a simple embryonic cell, the controlled …