Complex Sciences. Second International Conference, COMPLEX 2012, Santa Fe, NM, USA, December 5-7, 2012, Revised Selected Papers

Research Article

Behaviors of Actors in a Resource-Exchange Model of Geopolitics

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  • @INPROCEEDINGS{10.1007/978-3-319-03473-7_7,
        author={Curtis Cooper and Walter Beyeler and Jacob Hobbs and Michael Mitchell and Z. Copley and Matthew Antognoli},
        title={Behaviors of Actors in a Resource-Exchange Model of Geopolitics},
        proceedings={Complex Sciences. Second International Conference, COMPLEX 2012, Santa Fe, NM, USA, December 5-7, 2012, Revised Selected Papers},
        proceedings_a={COMPLEX},
        year={2013},
        month={11},
        keywords={Complex systems software architecture agent-based simulations artificial intelligence robot planning emergent behaviors policy analysis},
        doi={10.1007/978-3-319-03473-7_7}
    }
    
  • Curtis Cooper
    Walter Beyeler
    Jacob Hobbs
    Michael Mitchell
    Z. Copley
    Matthew Antognoli
    Year: 2013
    Behaviors of Actors in a Resource-Exchange Model of Geopolitics
    COMPLEX
    Springer
    DOI: 10.1007/978-3-319-03473-7_7
Curtis Cooper1,*, Walter Beyeler1,*, Jacob Hobbs1,*, Michael Mitchell1,*, Z. Copley,*, Matthew Antognoli1,*
  • 1: Sandia National Laboratories
*Contact email: cscoope@sandia.gov, webeyel@sandia.gov, jahobbs@sandia.gov, micmitc@sandia.gov, zrcopley@smcm.edu, mantogn@sandia.gov

Abstract

We present initial findings of an ongoing effort to endow the key players in a nation-state model with intelligent behaviors. The model is based on resource exchange as the fundamental interaction between agents. In initial versions, model agents were severely limited in their ability to respond and adapt to changes in their environment. By modeling agents with a broader range of capabilities, we can potentially evaluate policies more robustly. To this end, we have developed a hierarchical behavioral module, based on an extension of the proven ATLANTIS architecture, in order to provide flexible decision-making algorithms to agents. A Three-Layer Architecture for Navigating Through Intricate Situations (ATLANTIS) was originally conceived for autonomous robot navigation at NASA’s JPL. It describes a multi-level approach to artificial intelligence. We demonstrate the suitability of our reification for guiding vastly different types of decisions in our simulations over a broad range of time scales.