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  1. Proceedings of the Symposium on Agent-Directed Simulation (ADS '15)
  2. Defining behavior of computational agents based on military doctrine
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Defining behavior of computational agents based on military doctrine

Content Provider ACM Digital Library
Author Lyrio, Gustavo H. S. O. Seixas, Roberto B. de M. Villarmosa, Alexandre
Abstract Since the beginning of nineteenth century combat simulations are used in military training. It's necessary to involve lots of military to these trainings occur reliably. In the late 1940s the idea of computational agents was developed in artificial intelligence and showed as an excellent tool to reduce the amount of personnel involved in combat simulations. Agents perceive the environment where they are inserted and take actions upon it following a set of rules. That reminds the behaviour of a soldier. A soldier, or a group of then, perceive the battlefield and take a series of actions based on military doctrine. Therefore, the scope of this work is to present a viable way to define the behaviour of computational agents based on military doctrine, so that they can replace some of the personnel involved in a combat simulation without affecting the reliability of the training in course. In addition making more efficient simulation systems, reducing the amount of required military for its proper implementation, can also help to check the logical consistency of the actions planned in the doctrinal manuals. In this paper you will find a introduction about military training followed by the conceptual description of computational agents and how it was modelled, passing by the basis of military doctrine and its modelling, passing by a case study until reach our conclusions.
Starting Page 69
Ending Page 75
Page Count 7
File Format PDF
ISBN 9781510800984
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-04-12
Publisher Place San Diego
Access Restriction Subscribed
Subject Keyword Agent-based combat modelling Military modelling and simulation Artificial intelligence
Content Type Text
Resource Type Article
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