  This work seeks to study the beneficial properties that an autonomous agent
can obtain by implementing a cognitive architecture similar to the one of
conscious beings. Along this document, a conscious model of autonomous agent
based in a global workspace architecture is presented. We describe how this
agent is viewed from different perspectives of philosophy of mind, being
inspired by their ideas. The goal of this model is to create autonomous agents
able to navigate within an environment composed of multiple independent
magnitudes, adapting to its surroundings in order to find the best possible
position in base of its inner preferences. The purpose of the model is to test
the effectiveness of many cognitive mechanisms that are incorporated, such as
an attention mechanism for magnitude selection, pos-session of inner feelings
and preferences, usage of a memory system to storage beliefs and past
experiences, and incorporating a global workspace which controls and integrates
information processed by all the subsystem of the model. We show in a large
experiment set how an autonomous agent can benefit from having a cognitive
architecture such as the one described.
