[DSRP Evidence](https://dsrpevidence.org/)

# The Military–Climate Change System: A Case Study Using the Agent Based Approach (ABA)

## Details

**Authors** Bond J

**Year** 2022

**Publisher** Journal of Systems Thinking 2(1):1-19

**Kind of work** article

**Discipline** Military

**Kind of engagement** scholarly

[Read it at the publisher](https://doi.org/10.54120/jost.2025-0060JB) 
10.54120/jost.2025-0060JB

## In authors' words

### Abstract

The relationship between the United States militaryand climate change is a complex adaptive system that is, at first,difficult to understand. By utilizing systems thinking and Plecticasoftware to visualize the salient distinctions, systems, relationships,and perspectives (DSRP), one can achieve a deeper and broaderunderstanding of the agents and simple rules that result in the emergingcomplex system. Implementing the Agent Based Approach (ABA),this paper will present a mental model map of the military/climatechange system that has been analyzed using DSRP/ST-Loop Analysisto reflect reality. Understanding this visual map will allow for greateranalysis of the system in order to accomplish three goals - understandthe system, identify the prioritization within the system, and providepolicy recommendations to military decision-makers.

### What they set out to do (purpose)

A case study using the Agent-Based Approach and Plectica maps to model the United States military–climate change system as a complex adaptive system.

### What they found (results)

A DSRP/ST-Loop mental-model map of the system supports three goals: understanding the system, prioritizing within it, and giving military decision-makers policy recommendations.

## Commentary

### In short

Uses DSRP and the Agent Based Approach to map the relationship between the U.S. military and climate change as a complex adaptive system.

**Patterns it shows** D, S, R, P

**How to cite this** Bond J (2022). The Military–Climate Change System: A Case Study Using the Agent Based Approach (ABA). Journal of Systems Thinking 2(1):1-19.