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Closure in Artificial Cell Signalling Networks - Investigating the Emergence of Cognition in Collectively Autocatalytic Reaction Networks

Closure in Artificial Cell Signalling Networks - Investigating the Emergence of Cognition in Collectively Autocatalytic Reaction Networks,James Decrae

Closure in Artificial Cell Signalling Networks - Investigating the Emergence of Cognition in Collectively Autocatalytic Reaction Networks   (Citations: 1)
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Cell Signalling Networks (CSNs) are complex biochemical networks responsible for the coordination of cellu- lar activities in response to internal and external stimuli. We hypothesize tha t CSNs are subsets of collectively autocatalytic reaction networks. The signal processing or cognitive abilitie s of CSNs would originate from the closure properties of these systems. We investigate how Artificial CSNs , regarded as minimal cognitive systems, could emerge and evolve under this condition where closure may interact with evolution. To as- sist this research, we employ a multi-level concurrent Artificial Chemistr y based on the Molecular Classifier Systems and the Holland broadcast language. A critical issue for the evolvability of such undirected and au- tonomous evolutionary systems is to identify the conditions that would ensure evolutionary stability. In this paper we present some key features of our system which permitted stable cooperation to occur between the different molecular species through evolution. Following this, we present an experiment in which we evolved a simple closed reaction network to accomplish a pre-specified task. In this experiment we show that the signal-processing ability (signal amplification) directly resulted from the ev olved systems closure properties.
Published in 2009.
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