Investigating the emergence of multicellularity using a population of neural network agents

Authors:
Ehud Schlessinger;Peter J. Bentley;R. Beau Lotto
Affiliations:
Institute of Ophthalmology, University College London, London;Department of Computer Science, University College London, London;Institute of Ophthalmology, University College London, London
Venue:
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Year:
2006

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Abstract

This paper expands Mosaic World, an artificial life model, in order to directly test theories on the emergence of multicellular life. Five experiments are conducted and demonstrate that both the presence of predation and accidental aggregation are sufficient conditions for the transition to multicellularity. In addition, it is shown that division of labour is a major benefit for aggregation, and evolves even if aggregates ‘pay' for abilities they do not use. Analysis of evolved results shows multiple parallels to natural systems, such as differentiation in constituent members of an aggregate, and life-like, complex ecosystems.