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Authors: Inna Shvartsman ; Kuldar Taveter and Merik Meriste

Affiliation: Tallinn University of Technology, Estonia

Keyword(s): Agent-oriented Modelling, Socio-technical Systems, Simulations.

Related Ontology Subjects/Areas/Topics: Agent Models and Architectures ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: Training is crucial for improvement of the capabilities of both military and non-military personnel. In this paper, we argue for the need of conceptual modelling for the creation of training scenarios. This research proposes a particular method for developing training scenarios for complex domains based on agent–oriented modelling. The advantage of agent-oriented modelling is that it enables to describe a problem domain from three balanced and interrelated aspects – interaction, information, and behaviour, and at three abstraction layers: analysis, design, and simulation. Thus, we can obtain agent-directed simulations for elaborating selected aspects of emergent behaviour to support development of practical training scenarios in a partially known environment.

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Paper citation in several formats:
Shvartsman, I.; Taveter, K. and Meriste, M. (2013). A Method of Conceptual Modelling for Realistic Training Scenarios. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8565-38-9; ISSN 2184-433X, SciTePress, pages 443-446. DOI: 10.5220/0004333404430446

@conference{icaart13,
author={Inna Shvartsman. and Kuldar Taveter. and Merik Meriste.},
title={A Method of Conceptual Modelling for Realistic Training Scenarios},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2013},
pages={443-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004333404430446},
isbn={978-989-8565-38-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Method of Conceptual Modelling for Realistic Training Scenarios
SN - 978-989-8565-38-9
IS - 2184-433X
AU - Shvartsman, I.
AU - Taveter, K.
AU - Meriste, M.
PY - 2013
SP - 443
EP - 446
DO - 10.5220/0004333404430446
PB - SciTePress