Decision Making on Fitness Landscapes

TL;DR

This paper introduces the Tangled Decision Model, a novel approach to modeling rational decision making within co-evolutionary fitness landscapes, using Monte Carlo simulations to compare decision procedures.

Contribution

It develops a new model that adapts fitness landscapes for decision making in economic systems, extending the Tangled Nature Model to include decision processes.

Findings

The model effectively simulates decision making in co-evolutionary landscapes.

Different decision procedures exhibit distinct behaviors in the model.

The approach provides insights into rational decision dynamics in complex systems.

Abstract

We discuss fitness landscapes and how they can be modified to account for co-evolution. We are interested in using the landscape as a way to model rational decision making in a toy economic system. We develop a model very similar to the Tangled Nature Model of Christensen et. al. that we call the Tangled Decision Model. This is a natural setting for our discussion of co-evolutionary fitness landscapes. We use a Monte Carlo step to simulate decision making and investigate two different decision making procedures.