A novel way of extracting cellular automaton rules from a single automaton state is presented. The method, with minimal computation and storage, can be used to estimate rules to within approximately 5% on the class of density well cellular automata. Application of this method to image processing in the context of the search for life is then discussed. In particular the use of cellular automata as a potential universal bio-detector is then possible, permitting the method to be used as a pre-screening step to optimize testing sites for chemical tests, as well as identifying targets of opportunity from robotic exploration module's cameras.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using Extremophile Behavior to Identify Biological Targets of Opportunity


    Contributors:


    Publication date :

    2017-09-01


    Size :

    872027 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Extremophile models in nature for exobiological exploration

    Naganuma, T. / Space Utilization Research Society | British Library Conference Proceedings | 2003


    Can Adaptive Response and Evolution Make Survival of Extremophile Bacteria Possible on Mars?

    Mortazavi, SMJ / Mortazavi, Seyed Alireza / Sihver, Lembit | IEEE | 2020


    SOFIA Cycle 2 Science Status and Targets of Opportunity

    Hall, Helen | British Library Conference Proceedings | 2014



    Use of targets of opportunity for system performance verification

    Ehrsam, Eldon / Lajiness, Gregory / Matthews, Howard | AIAA | 1995