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Specifying and simulating modern warfare scenarios with ITSimBw

Authors:

Philipp Hügelmeyer,

Timo Steffens,

Thomas ZöllerAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 1273 - 1279

Published: 03 December 2006 Publication History

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Abstract

The aim of this paper is the presentation of the military multi-agent simulation system ITSimBw. Its decisive features include a strictly agent-based approach to modeling, in which every entity in a simulated environment can potentially become an active element. Technologically, ITSimBw is based on the Flip-Tick-Architecture. Moreover, a focus on IT and communication aspects is one of its important characteristics. Additionally, the impact of scaling aspects in the design of scenarios and their support by the simulation system is addressed.As the utility of simulation strongly depends upon the quality of the employed scenarios, ITSimBw also contains a unique approach to scenario description, termed LAMPS (Language for Agent-based Modeling of Processes and Scenarios). LAMPS is based on high-level Petri-Nets and enables the specification of individual agent behavior as well as complex scenarios in a uniform way.

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Huber DKallfass D(2015)Applying data farming for military operation planning in nato MSG-124 using the interoperation of two simulations of different resolutionProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888910(2535-2546)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888910
Steffens THügelmeyer PTew J(2007)Real-time prediction in a stochastic domain via similarity-based data-miningProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351794(1430-1435)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351794

Specifying and simulating modern warfare scenarios with ITSimBw
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence

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Published In

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

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Winter Simulation Conference

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Published: 03 December 2006

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WSC06

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IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

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WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Huber DKallfass D(2015)Applying data farming for military operation planning in nato MSG-124 using the interoperation of two simulations of different resolutionProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888910(2535-2546)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888910
Steffens THügelmeyer PTew J(2007)Real-time prediction in a stochastic domain via similarity-based data-miningProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351794(1430-1435)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351794

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Simulating the emergence of norms in different scenarios

Modelling and Specifying Scenarios and Agent Behaviour

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