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Interaction, uncertainty, and the evolution of complexity
The evolution of complexity is investigated in the context of an `iterated prisoner's dilemma' (IPD) co-evolutionary/game-theoretic ecology, populated by strategies determined by variable length genotypes. New evidence is found to support the dual hypotheses that both uncertainty, and interaction (by way of population stability), foster the evolution of progressively more complex entities. It is also argued that during periods of major evolutionary upheaval, complex entities suffer disproportionately and become less abundant in the population. The research is presented as an elaboration of the general principle that there is complexity in an organism by virtue of complexity in the environment, and has implications both for deepening understanding of the nature of biological evolution and for guiding the progress of artificial evolution.
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Publication status
- Published
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MIT PressBook title
Proceedings of the 4th European conference on artificial lifeISBN
9780262581578Department affiliated with
- Informatics Publications
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- No
Peer reviewed?
- Yes
Editors
Inman Harvey, Phil HusbandsLegacy Posted Date
2012-02-06Usage metrics
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