Agent-Based Simulation of a Marine Infantry Squad in an Urban Environment

Abstract

This thesis research focused on the design development and implementation of an agent-based simulation of a Marine infantry squad in an urban environment. The goal was to design an autonomous-agent framework that could model a combatant's decision cycle. A squad entity composed of these agents was created to explore the idea of team dynamics and the balance between meeting individual goals and team goals. The agents were placed in a two-dimensional, discrete-state, simulation world with a simple model of urban infrastructure. The squad goal was to patrol through the environment using checkpoints. The individual agent goals were to move to a destination and maintain the squad formation. The critical issues of agent movement were collision detection/avoidance, goal managing and forward planning. Distinguishing the agents by their role in the squad allowed a single agent to act as the squad leader. This agent was given the ability to plan a path to accomplish the squad's overall goal as a series of sub-goals, which was successful in getting the majority of the agents to their checkpoints in squad formation. The design of the simulation program facilitates further research in using autonomous agents to model small I-units in an urban environment.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA397278

Entities

People

  • Arthur R. Anagon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Detection
  • Infrastructure
  • Java Programming Language
  • Military Operations
  • Object Oriented Programming
  • Programming Languages
  • Simulations
  • Software Development
  • Two Dimensional
  • Warfare

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Military Science