Crowd Behavior Modeling in COMBAT XXI

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Crowd Behavior Modeling in COMBAT XXI Imre Balogh MOVES Research Associate Professor ilbalogh@nps.edu July 2010 831-656-7582 http://movesinstitute.org

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Agenda Motivation Crowd modeling Digital pheromone systems COMBAT XXI Project description Questions 7/17/2010 2

Motivation Context important for military operations. Physical constraints. Terrain, weather, time of day, visibility, etc. Social functionality constraints. Cultural artifacts (religious buildings, hospitals, schools, etc. Indigenous Population The people themselves. Customs, social rules, etc. 7/17/2010 3

Motivation Context important for military operations. Physical constraints. Terrain, weather, time of day, visibility, etc. Social functionality constraints. Cultural artifacts (religious buildings, hospitals, schools, etc. Indigenous Population The people themselves. Customs, social rules, etc. 7/17/2010 4

Motivation Context important for military operations. Physical constraints. Terrain, weather, time of day, visibility, etc. Social functionality constraints. Cultural artifacts (religious buildings, hospitals, schools, etc. Indigenous Population The people themselves. Customs, social rules, etc. 7/17/2010 5

Motivation Context important for military operations. Physical constraints. Terrain, weather, time of day, visibility, etc. Social functionality constraints. Cultural artifacts (religious buildings, hospitals, schools, etc. Indigenous Population The people themselves. Customs, social rules, etc. Our goal is to address some aspects of this problem. 7/17/2010 6

Crowd Modeling Representation requirements: Large numbers of people ideally should be much larger than the force being represented. Dynamic behaviors no scripting. Realistic movement and aggregation. Reactive behaviors can change based on what force agent do. Coordinated behaviors Communication. Memory. Usage requirements: Computationally efficient Easy to set up 7/17/2010 7

Digital Pheromone Models Derived from natural systems of self organization. Based on mechanism used in insect colonies to coordinate activity. Pheromone based models used in many areas: Manufacturing process modeling. Cell phone network optimization. Autonomous vehicle modeling. 7/17/2010 8

A Digital Pheromone System (DPS) Pheromone (scent) Flavor Dispersion Evaporation Can be deposited and sensed by agents. Deposited at locations in environment based on local conditions and entity state. Pheromone provides a way for entities to communicate and also to keep a collective memory. Only need very simple agents Sense Deposit Simple state transition based on pheromone strength Simple Cellular Automata based model for the pheromone infrastructure. 7/17/2010 9

COMBAT XXI Background Target simulation is COMBAT XXI Closed form analytical model Stochastic Agent based model Developed/used Army and Marine Corps TRADOC Analysis Center Marine Corps Combat Development Command Brigade and below studies Scenario sizes ranges ~50 10,000+ entities Typical sizes low 100s to 1500 Effects model Several other projects at NPS involve COMBAT XXI 7/17/2010 10

Past Pheromone Work Demonstration of Pheromone based reactive behaviors. TRAC-MTRY/ALTARUM Demonstrated feasibility of DP approach. Loosely coupled to model. 7/17/2010 11

Objective of Current Work Build a Pheromone Layer into COMBAT XXI Tightly connected to native environment Add behavior hooks to the Pheromone Layer Allow agents in the model to access the PL as part of the general behavior mechanism Demonstrate pheromone based ambient behavior. e.g. having entities move from home to a market, spend time there and then return home. 7/17/2010 12

Status Basic pheromone synthetic environment complete. Connected to COMBAT XXI core code. Standalone component. Simple behavior infrastructure developed. Sample scenarios created to show basic functionality. 7/17/2010 13

Future Work Performance improvements Optimize code to reduce computational load Interface enhancements Develop tools to allow for more intuitive control of parameters Better visualization tools Behavior refinement Combine ambient and reactive behaviors 7/17/2010 14

Questions? 7/17/2010 15

7/17/2010 16