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Modelling of human decision-making in simulation models of conflict using experimental gaming
Authors:James Moffat  John Medhurst
Affiliation:1. Defence Science and Technology Laboratory, Farnborough, Hampshire, UK;2. Larrainzar Consulting Solutions Limited, Salisbury, Wiltshire, UK
Abstract:Over the past few years we have developed a number of key components which allow us to capture the effects of command decision-making in simulation models of conflict. One of these key components is the Rapid Planning process, which is based on the psychological construct of naturalistic decision-making. Validating such theoretical approaches and assumptions is an on-going activity which helps build confidence over time that our models and theories are valid within our domain of application, and can be used as the basis of sound advice to our customers in the UK Ministry of Defence. Here we present one piece of that validation; a series of command decision-making games which were analysed using a probit-based statistical approach. In the paper we show that the results of these games gives strong support to the way in which rapid planning captures such decision-making in algorithmic form.
Keywords:Decision-making   Artificial intelligence   Simulation   Conflict
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