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Authors: Stephen Dobson 1 ; Mark Burkitt 2 ; Dermot Breslin 2 and Daniela Romano 3

Affiliations: 1 Coventry University, United Kingdom ; 2 University of Sheffield, United Kingdom ; 3 Edge Hill University, United Kingdom

ISBN: 978-989-758-187-8

Keyword(s): Decision Support System, Co-evolution, Connectivity, Agent-Based Model, Domestic Fire Risk Behaviour.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Operational Research ; Software Engineering ; Strategic Decision Support Systems ; Symbolic Systems

Abstract: The research presented here outlines an application of Agent-Based Modelling (ABM) used to support strategic decision-making in the emergency services. Here the resulting ABM-driven Decision Support System (DSS) (called ‘Premonition’) is designed to help practitioners engage with a complex and dynamic environment of co-evolving fire risk behaviours through time. Social change is presented here as a process by which behaviours co-evolve within connected networks of agents. ABM is identified as a beneficial approach to simulate changing household behaviours and the influence of social networks, environmental factors, and also fire service interventions within the Sheffield City region, UK. This project seeks to develop a DSS which supports the stages of ‘intelligence’, ‘design’, and ‘choice’ as the decision-maker moves from identifying problem areas, establishing possible strategies for intervention, and predicting possible outcomes of alternative courses of action.

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Paper citation in several formats:
Dobson, S.; Burkitt, M.; Breslin, D. and Romano, D. (2016). Developing an ABM-driven Decision Support System in the Emergency Services.In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 151-157. DOI: 10.5220/0005773501510157

@conference{iceis16,
author={Stephen Dobson. and Mark Burkitt. and Dermot Breslin. and Daniela Romano.},
title={Developing an ABM-driven Decision Support System in the Emergency Services},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={151-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005773501510157},
isbn={978-989-758-187-8},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Developing an ABM-driven Decision Support System in the Emergency Services
SN - 978-989-758-187-8
AU - Dobson, S.
AU - Burkitt, M.
AU - Breslin, D.
AU - Romano, D.
PY - 2016
SP - 151
EP - 157
DO - 10.5220/0005773501510157

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