Action Selection Properties in a Software Simulated Agent

TL;DR

This paper investigates the properties of an internal action selection mechanism in a simulated agent, using experiments to analyze its behavior and effectiveness.

Contribution

It introduces a simulation framework to evaluate the Internal Behaviour network's action selection properties in a controlled environment.

Findings

The Internal Behaviour network exhibits specific action selection patterns.

Simulation results reveal strengths and limitations of the proposed mechanism.

The study provides insights into the dynamics of internal action selection in agents.

Abstract

This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for such ends. A brief review of the Internal Behaviour network is followed by the explanation of the implementation of the simulation. Then, experiments are presented and discussed analysing the properties of the action selection in the proposed model.