Dr. Ross Gore

Dr. Ross Gore

I am Research Associate Professor at Old Dominion University My work focuses on data science and predictive analytics. I am is passionate about extracting useful information from new and diverse data sources to help inform decision making.

INSIGHT: understanding unexpected behaviours in agent-based simulations

Published in Journal of Simulation, 2010

Unexpected behaviours in simulations require explanation, so that decision-makers and subject matter experts can separate valid behaviours from design or coding errors. Validation of unexpected behaviours requires accumulation of insight into the behaviour and the conditions under which it arises. Agent-based simulations are known for unexpected behaviours that emerge as the simulation executes. To facilitate user exploration, analysis, understanding and insight of unexpected behaviours, we have developed a novel semi-automated methodology, INSIGHT. INSIGHT provides: (1) semi-automatic hypothesis testing for exploring an unexpected behaviour, and (2) automatic identification of statements in an agent-based simulation’s source code which have the strongest influence on an unexpected behaviour.

Recommended citation: Gore, Ross, Reynolds Jr, Paul F. (2010). "INSIGHT: understanding unexpected behaviours in agent-based simulations." Journal of Simulation. 4(3), 170-180.
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