Functional and structural topologies in evolved neural networks

Joseph T. Lizier, Mahendra Piraveenan, Dany Pradhana, Mikhail Prokopenko, Larry S. Yaeger

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

11 Citations (Scopus)


The topic of evolutionary trends in complexity has drawn much controversy in the artificial life community. Rather than investigate the evolution of overall complexity, here we investigate the evolution of topology of networks in the Polyworld artificial life system. Our investigation encompasses both the actual structure of neural networks of agents in this system, and logical or functional networks inferred from statistical dependencies between nodes in the networks. We find interesting trends across several topological measures, which together imply a trend of more integrated activity across the networks (with the networks taking on a more "small-world" character) with evolutionary time.

Original languageEnglish
Title of host publicationAdvances in artificial life: Darwin meets von Neumann
Subtitle of host publication10th European conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009: revised selected papers
EditorsGeorge Kampis, István Karsai, Eörs Szathmáry
Place of PublicationHeidelberg
PublisherSpringer, Springer Nature
Number of pages8
VolumePart 1
ISBN (Electronic)9783642212833
ISBN (Print)9783642212826
Publication statusPublished - 2011
Externally publishedYes
Event10th European Conference of Artificial Life, ECAL 2009 - Budapest, Hungary
Duration: 13 Sept 200916 Sept 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th European Conference of Artificial Life, ECAL 2009


Dive into the research topics of 'Functional and structural topologies in evolved neural networks'. Together they form a unique fingerprint.

Cite this