A Method of Conceptual Modelling for Realistic Training Scenarios

Inna Shvartsman, Kuldar Taveter, Merik Meriste

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.

References

  1. Sterling, L., Taveter, K., 2009. The art of agent-oriented modeling, MIT Press. London.
  2. Shvartsman, I., Taveter, K., Parmak,M., Meriste, M., 2010.
  3. Agent-oriented modelling for simulation of complex environments. In IMCSIT 2010, The International Multiconference on Computer Science and Information Technology, IEEE Computer Society, 209- 216.
  4. Vattam, S. S., Goel, A. K., Rugaber, S., 2011. Behavior patterns: Bridging conceptual models and agent-based simulations in interactive learning environments. In IEEE 11th International Conference on Advanced Learning Technologies, 139-141.
  5. Parmak, M., Mylle, J. J. C., Euwema, M. C., 2010.
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Paper Citation


in Harvard Style

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, pages 443-446. DOI: 10.5220/0004333404430446


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Shvartsman I.
AU - Taveter K.
AU - Meriste M.
PY - 2013
SP - 443
EP - 446
DO - 10.5220/0004333404430446