Reconnaissance blind multi-chess: an experimentation platform for ISR sensor fusion and resource management

Andrew J. Newman; Casey L. Richardson; Sean M. Kain; Paul G. Stankiewicz; Paul R. Guseman; Blake A. Schreurs; Jeffrey A. Dunne

doi:10.1117/12.2228127

17 May 2016 Reconnaissance blind multi-chess: an experimentation platform for ISR sensor fusion and resource management

Andrew J. Newman, Casey L. Richardson, Sean M. Kain, Paul G. Stankiewicz, Paul R. Guseman, Blake A. Schreurs, Jeffrey A. Dunne

Author Affiliations +

Proceedings Volume 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV; 984209 (2016) https://doi.org/10.1117/12.2228127
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

This paper introduces the game of reconnaissance blind multi-chess (RBMC) as a paradigm and test bed for understanding and experimenting with autonomous decision making under uncertainty and in particular managing a network of heterogeneous Intelligence, Surveillance and Reconnaissance (ISR) sensors to maintain situational awareness informing tactical and strategic decision making. The intent is for RBMC to serve as a common reference or challenge problem in fusion and resource management of heterogeneous sensor ensembles across diverse mission areas. We have deﬁned a basic rule set and a framework for creating more complex versions, developed a web-based software realization to serve as an experimentation platform, and developed some initial machine intelligence approaches to playing it.

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Andrew J. Newman, Casey L. Richardson, Sean M. Kain, Paul G. Stankiewicz, Paul R. Guseman, Blake A. Schreurs, and Jeffrey A. Dunne "Reconnaissance blind multi-chess: an experimentation platform for ISR sensor fusion and resource management", Proc. SPIE 9842, Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, 984209 (17 May 2016); https://doi.org/10.1117/12.2228127

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