Accession Number:

AD1160031

Title:

UrbanSim: A Game-Based Simulation for Counterinsurgency and Stability-Focused Operations

Descriptive Note:

[Technical Report, Research Paper]

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES

Personal Author(s):

• McAlinden, Ryan
• Gordon, Andrew S
• Lane, H. Chad
• Pynadath, David

Report Date:

2008-01-01

Pagination or Media Count:

10

Abstract:

The UrbanSim Learning Package is a simulation-based training application designed for the U.S. Army to develop commanders skills for conducting counterinsurgency operations. UrbanSim incorporates multiple artificial intelligence AI technologies in order to provide an effective training experience, three of which are described in this paper. First, UrbanSim simulates the mental attitudes and actions of groups and individuals in an urban environment using the PsychSim reasoning engine. Second, UrbanSim interjects narrative elements into the training experience using a case-based story engine, driven by non-fiction stories told by experienced commanders. Third, UrbanSim provides intelligent tutoring using a simulation-based method for eliciting and evaluating learner decisions. UrbanSim represents a confluence of AI techniques that seek to bridge the gap between basic research and deployed AI systems.

Descriptors:

• artificial intelligence
• military training
• war colleges
• physical security
• training
• computers
• doctrine
• education
• security
• simulations
• trainees
• video games
• army training
• military operations
• military organizations
• recreation
• counterinsurgency

Subject Categories:

• Computer Programming and Software
• Military Operations, Strategy and Tactics
• Computer Programming and Software
• Military Operations, Strategy and Tactics

Distribution Statement:

[A, Approved For Public Release]