Can artificial life emerge in a network of interacting agents?

V. K. Murthy*, E. V. Krishnamurthy

*Corresponding author for this work

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

    1 Citation (Scopus)

    Abstract

    An interacting multi- agent system in a network can behave like a nature - inspired Smart System (SS) exhibiting the four salient properties of an Artificial Life System (ALS): (i) Collective, coordinated and efficient (ii) Self -organization and emergence (iii) Power law scaling or scale invariance under emergence (iv) Adaptive, fault tolerant and resilient against damage. We explain how these basic properties can arise among agents through random enabling, inhibiting, preferential attachment and growth of a multiagent system. However,the quantitative understanding of a Smart system with an arbitrary interactive topology is extremely difficult. Hence we cannot design a general purpose programmable Smart system. However, for specific applications and a pre-defined static interactive topology among the agents, the quantitative parameters can be obtatined through simulation to build a specific SS.

    Original languageEnglish
    Title of host publication2006 IEEE International Conference on Fuzzy Systems
    Pages106-113
    Number of pages8
    DOIs
    Publication statusPublished - 2006
    Event2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
    Duration: 16 Jul 200621 Jul 2006

    Publication series

    NameIEEE International Conference on Fuzzy Systems
    ISSN (Print)1098-7584

    Conference

    Conference2006 IEEE International Conference on Fuzzy Systems
    Country/TerritoryCanada
    CityVancouver, BC
    Period16/07/0621/07/06

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