Towards quantitative perspective in networks of evolutionary processors

Abstract

Network of Evolutionary Processors -NEP is a computational model inspired by the evolution of cell populations, which might model some properties of evolving cell communities at the syntactical level. Formally, NEP is based on an architecture for parallel and distributed processing. NEP is efficient, universal, and computationally complete. Nevertheless, although the NEP model is biologically inspired, this model is mainly motivated by mathematical and computer science goals. In this context, the biological aspects are only considered from a qualitative and syntactical perspective. In view of this lack, it is important to try to keep the NEP theory as close as possible to the biological reality, extending their perspective incorporating the interplay of qualitative and quantitative aspects. A new era of the NEP model appears. Then, the quantitative character of the NBP model is mandatory and it can address completely new different types of problems with respect to the classical computational domain. In this talk, novelty aspects defining the step from the NEP to the Quantitative NEP (QNEP) are introduced