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Title: A naturalistic decision making model for simulated human combatants

Abstract

The authors describe a naturalistic behavioral model for the simulation of small unit combat. This model, Klein's recognition-primed decision making (RPD) model, is driven by situational awareness rather than a rational process of selecting from a set of action options. They argue that simulated combatants modeled with RPD will have more flexible and realistic responses to a broad range of small-scale combat scenarios. Furthermore, they note that the predictability of a simulation using an RPD framework can be easily controlled to provide multiple evaluations of a given combat scenario. Finally, they discuss computational issues for building an RPD-based behavior engine for fully automated combatants in small conflict scenarios, which are being investigated within Sandia's Next Generation Site Security project.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Labs., Albuquerque, NM (US); Sandia National Labs., Livermore, CA (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
756444
Report Number(s):
SAND2000-0974
TRN: US0003877
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 May 2000
Country of Publication:
United States
Language:
English
Subject:
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION; 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; MATHEMATICAL MODELS; HUMAN FACTORS; SECURITY; SECURITY PERSONNEL; SANDIA NATIONAL LABORATORIES

Citation Formats

HUNTER,KEITH O., HART,WILLIAM E., and FORSYTHE,JAMES C. A naturalistic decision making model for simulated human combatants. United States: N. p., 2000. Web. doi:10.2172/756444.
HUNTER,KEITH O., HART,WILLIAM E., & FORSYTHE,JAMES C. A naturalistic decision making model for simulated human combatants. United States. doi:10.2172/756444.
HUNTER,KEITH O., HART,WILLIAM E., and FORSYTHE,JAMES C. Mon . "A naturalistic decision making model for simulated human combatants". United States. doi:10.2172/756444. https://www.osti.gov/servlets/purl/756444.
@article{osti_756444,
title = {A naturalistic decision making model for simulated human combatants},
author = {HUNTER,KEITH O. and HART,WILLIAM E. and FORSYTHE,JAMES C.},
abstractNote = {The authors describe a naturalistic behavioral model for the simulation of small unit combat. This model, Klein's recognition-primed decision making (RPD) model, is driven by situational awareness rather than a rational process of selecting from a set of action options. They argue that simulated combatants modeled with RPD will have more flexible and realistic responses to a broad range of small-scale combat scenarios. Furthermore, they note that the predictability of a simulation using an RPD framework can be easily controlled to provide multiple evaluations of a given combat scenario. Finally, they discuss computational issues for building an RPD-based behavior engine for fully automated combatants in small conflict scenarios, which are being investigated within Sandia's Next Generation Site Security project.},
doi = {10.2172/756444},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2000},
month = {Mon May 01 00:00:00 EDT 2000}
}

Technical Report:

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