The inherently decentralized nature of artificial chemical computing models makes them
particularly attractive for building bio-inspired software with self-organizing and emergent …

Nature is a source of inspiration for computational techniques which have been successfully
applied to a wide variety of complex application domains. In kee** with this we examine …

This work investigates closure in Cell Signaling Networks, which is one research area within
the ESIGNET project. We employ a string-based Artificial Chemistry based on Holland's …

Software systems nowadays are becoming increasingly complex and vulnerable to all sorts
of failures and attacks. There is a rising need for robust self-repairing systems able to restore …

All processes of life are controlled by networks of interacting biochemical components. The
purpose of modelling these networks is manifold. From a theoretical point of view it allows …

We examine a potential role of signalling crosstalk in Artificial Cell Signalling Networks
(ACSNs). In this research, we regard these ACSNs as subsets of collectively autocatalytic …

Abstract Information technology (IT) system development faces increasing challenges as a
result of the complexity involved in the large number of interacting, distributed and …

The article presents the use of signal regulatory networks (SRNs), a biologically inspired
model based on gene regulatory networks. SRNs are a way of understanding a class of self …

Cell Signalling Networks (CSNs) are complex biochemical networks responsible for the
coordination of cellular activities in response to internal and external stimuli. We hypothesize …

Complex Adaptive Systems (CAS) are dynamical networks of interacting agents which as a
whole determine the behavior, adaptivity and cognitive ability of the system. CAS are …