Natural human role in supervising complex control systems

Authors: Hexmoor, Henry; McLaughlan, Brian; Tuli, Gaurav

Source: Journal of Experimental & Theoretical Artificial Intelligence, Volume 21, Number 1, March 2009 , pp. 59-77(19)

Publisher: Taylor and Francis Ltd

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Abstract:

Large collections of communities such as those found in complex control systems necessitate sophisticated techniques for high-level human supervision due to their requirements of influence spanning over individuals, communities, and global system behaviours. We have developed psycho-socio-cultural models for mediation of system-level behaviours and interactions. The ensuing lowered human cognitive load will enable supervisors to effectively guide large systems with competing objectives. This model paves the way for developing the 'Man On The Loop' (MOTL) paradigm, a phrase we are proposing for a novel human supervision role that contrasts with typical micromanagement. We have highlighted and validated MOTL parameters through the implementation of a domain-neutral simulation and compared our results with those found in natural systems.

Keywords: multi-agent system; supervisory control; social-psycho-cultural model; human agent interaction

Document Type: Research article

DOI: http://dx.doi.org/10.1080/09528130802386093

Affiliations: 1: Computer Science Department, Southern Illinois University, Carbondale, IL, USA

Publication date: 2009-03-01

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