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Closure in artificial cell signalling networks - investigating the emergence of cognition in collectively autocatalytic reaction networks

Decraene, James (2009) Closure in artificial cell signalling networks - investigating the emergence of cognition in collectively autocatalytic reaction networks. In: BIOSIGNALS 2009: The International Conference on Bio-inspired Systems and Signal Processing, 14-17 Jan. 2009, Porto, Portugal. ISBN 978-989-8111-65-4

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Abstract

Cell Signalling Networks (CSNs) are complex biochemical networks responsible for the coordination of cellular activities in response to internal and external stimuli. We hypothesize that CSNs are subsets of collectively autocatalytic reaction networks. The signal processing or cognitive abilities 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 assist this research, we employ a multi-level concurrent Artificial Chemistry based on the Molecular Classifier Systems and the Holland broadcast language. A critical issue for the evolvability of such undirected and autonomous 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 evolved systems closure properties.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:Pages 107-114
Subjects:Computer Science > Artificial intelligence
Engineering > Artificial life
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Published in:BIOSIGNALS 2009: Proceedings of the International Conference on Bio-inspired Systems and Signal Processing. . INSTICC Press. ISBN 978-989-8111-65-4
Publisher:INSTICC Press
Official URL:http://www.biosignals.org/
Copyright Information:Copyright 2009 INSTICC
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4592
Deposited On:18 Jun 2009 09:27 by James Decraene. Last Modified 18 Jun 2009 09:28

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