A Model for Combination of External and Internal Stimuli in the Action Selection of an Autonomous Agent

TL;DR

This paper introduces a model for autonomous agents that combines external and internal stimuli using additive and multiplicative mechanisms, with a parameter to regulate their influence on action selection.

Contribution

It presents a novel combination model for stimuli integration in action selection, enhancing the agent's responsiveness to internal and external cues.

Findings

The model effectively integrates stimuli through additive and multiplicative components.

The parameter a controls the influence of internal states on external behavior.

The approach improves the flexibility of autonomous agent decision-making.

Abstract

This paper proposes a model for combination of external and internal stimuli for the action selection in an autonomous agent, based in an action selection mechanism previously proposed by the authors. This combination model includes additive and multiplicative elements, which allows to incorporate new properties, which enhance the action selection. A given parameter a, which is part of the proposed model, allows to regulate the degree of dependence of the observed external behaviour from the internal states of the entity.