The past twenty years have witnessed an increasingly large emphasis in the computer science community on the study of bio-inspired computing. A wide spectrum of applications and services has been currently developed and designed which relies on various natural biological paradigms. The most known examples are swarm intelligence, evolutionary algorithms, and the artificial neural networks. Such ...

This article discusses the similarity between propagation of pathogens (viruses and worms) on computer networks with proliferation of pathogens in cellular organisms (organisms with genetic material contained within a membrane encased nucleus). It introduces several biological mechanisms that are used in these organisms to protect against such pathogens and presents security models for networke...

Understanding the dynamics of biological diversity requires new approaches and integration between different disciplines. The development of a unitary body of knowledge about biodiversity is made difficult by the fragmentation and lack of interoperability between the diverse and often informal and simplistic semantics adopted for data and models. Different representational paradigms require con...

We present stochastic process algebra models of a Circadian clock mechanism used in many biological organisms to regulate time-based behaviour. We compare modelling techniques from different modelling paradigms, PEPA and stochastic π-calculus.

Biological systems exhibit a wide range of contextual effects, and this often makes it difficult to construct valid mathematical models of their behaviour. In particular, mathematical paradigms built upon the successes of Newtonian physics make assumptions about the nature of biological systems that are unlikely to hold true. After discussing two of the key assumptions underlying the Newtonian ...