Bio-inspired Computing

We investigate reaction systems, a novel computational model gleaned from the biochemical reactions taking place in living cells and information processing in nature.

Other formal models inspired by molecular reactions within cells are membrane and tissue systems. For these we develop a causality semantics following a Petri net based approach. Another non-traditional approach to computing is DNA computing. This is based on molecular biology hardware. We use algebraic and combinatorial techniques to model and analyze these computational processes, like the rearrangement of genes.