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# US Presidential Electoral Reform: An Agent Based Approach to the US Presidential Electoral System

## Details

**Authors** Sharfarz D

**Year** 2022

**Publisher** Journal of Systems Thinking 2(1):1-16

**Kind of work** article

**Discipline** Systems Science

**Kind of engagement** scholarly

[Read it at the publisher](https://doi.org/10.54120/jost.2025-0063DS) 
10.54120/jost.2025-0063DS

## In authors' words

### Abstract

This paper will be utilizing a Systems Thinking Agent Based Approach (ABA) to model and understand the US presidential electoral system. Through this process, an understanding of the influential actors, their relationships with each other, and the end results of these interactions can be achieved. The goal of this analysis is to discover various recommendations for the current model that can alter the end behavior of it to more closely match its original desired function from the perspective of the US general public.

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

A paper modeling the US presidential electoral system with the Agent-Based Approach: the influential actors, their relationships, and the results of their interactions.

### What they found (results)

The analysis surfaces recommendations that could bring the system's behavior closer to its originally desired function from the perspective of the US general public.

## Commentary

### In short

Uses the Agent Based Approach to model the U.S. presidential electoral system and suggest reforms that better match the public's intent.

**Patterns it shows** R, P

**How to cite this** Sharfarz D (2022). US Presidential Electoral Reform: An Agent Based Approach to the US Presidential Electoral System. Journal of Systems Thinking 2(1):1-16.