Accession Number:

AD1160027

Title:

UrbanSim: Using Social Simulation to Train for Stability Operations

Descriptive Note:

[Technical Report, Book Chapter]

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES

Personal Author(s):

• Mclinden, Ryan
• Pynadath, David
• Hill, Randall Jr

Report Date:

2014-01-01

Pagination or Media Count:

10

Abstract:

As the UnitedStates reorients itself towardsto aperiod ofreduced military capacity and away from largefootprint military engagements, there is an imperative tokeep commanders and decisionmakers mentally sharp and prepared for the next hot spot. One potential hot spot, megacities, presents a unique set of challenges due to their expansive, often interwoven ethnographic landscapes, and their overall lack of understanding by many western experts. Social simulation using agentbased models is one approach for furthering our understanding of distant societies and their security implications, and for preparing leaders to engage these populations if and when the need arises.

Descriptors:

• artificial intelligence
• urban areas
• united states
• psychology
• simulations
• social environment
• social media
• stability operations
• california
• computer science
• engineering
• geographic regions
• human behavior
• military operations
• training
• big data
• data mining

Subject Categories:

• Statistics and Probability
• Statistics and Probability
• Military Operations, Strategy and Tactics

Distribution Statement:

[A, Approved For Public Release]