Title: Innovative models for supporting operational planning

Authors: Marina Massei; Simonluca Poggi; Alberto Tremori; Angelo Ferrando

Addresses: DIME University of Genoa, via Opera Pia 15, 16145 Genova, Italy ' MAST srl, Corso Podesta 8, 16128 Genova, Italy ' DIME University of Genoa, via Opera Pia 15, 16145 Genova, Italy ' Simulation Team, via A. Magliotto 2, 17100 Savona, Italy

Abstract: Innovative simulation models are proposed for supporting operational planning related to civil military cooperation (CIMIC) and psychological operations (PSYOPs) within complex scenarios. The paper describes these models as well as the experimentation in situations involving crisis and conflicts (i.e., Afghanistan); these models are based on the intelligent agent computer generated forces (IA-CGF) developed by simulation team and they have been extensively used in CIMIC and planning research in complex operational realistic network (CAPRICORN) project, an initiative led by University of Genoa for European Defense Agency (EDA). The proposed models take care both of logistics and operational issues as well as of the effects on the people and interest groups; indeed the paper proposes the simulator developed to demonstrate these capabilities that include the communications among the stakeholders, the population models as well as the effects of human factors including social and cultural aspects. The paper includes experimental results based on this simulator devoted to validate and test the models in strong cooperation with final users and subject matter experts (SME); the proposed experimentation is based on design of experiment techniques including mean square pure error (MSpE) and sensitivity analysis.

Keywords: simulation; stabilisation and reconstruction; S&R operations; civil military cooperation; CIMIC; psychological operations; PSYOPs; human behaviour modifiers; HBM; modelling; operational planning; intelligent agents; agent-based systems; multi-agent systems; logistics; human factors; post-conflict threats.

DOI: 10.1504/IJSPM.2014.064396

International Journal of Simulation and Process Modelling, 2014 Vol.9 No.3, pp.181 - 194

Available online: 20 Aug 2014 *

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