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The Minimal Complexity of Adapting Agents Increases with Fitness

Overview of attention for article published in PLoS Computational Biology, July 2013
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Title
The Minimal Complexity of Adapting Agents Increases with Fitness
Published in
PLoS Computational Biology, July 2013
DOI 10.1371/journal.pcbi.1003111
Pubmed ID
Authors

Nikhil J. Joshi, Giulio Tononi, Christof Koch

Abstract

What is the relationship between the complexity and the fitness of evolved organisms, whether natural or artificial? It has been asserted, primarily based on empirical data, that the complexity of plants and animals increases as their fitness within a particular environment increases via evolution by natural selection. We simulate the evolution of the brains of simple organisms living in a planar maze that they have to traverse as rapidly as possible. Their connectome evolves over 10,000s of generations. We evaluate their circuit complexity, using four information-theoretical measures, including one that emphasizes the extent to which any network is an irreducible entity. We find that their minimal complexity increases with their fitness.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 7%
Canada 2 2%
Italy 1 <1%
Turkey 1 <1%
Brazil 1 <1%
Unknown 96 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 26%
Student > Ph. D. Student 24 22%
Professor 14 13%
Student > Master 11 10%
Professor > Associate Professor 9 8%
Other 17 16%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 28%
Computer Science 18 17%
Physics and Astronomy 12 11%
Neuroscience 10 9%
Engineering 7 6%
Other 21 19%
Unknown 10 9%