An Artificial Consciousness Model and its relations with Philosophy of Mind
arXiv Preprint Archive November 30, 2020 Eduardo C. Garrido-Merchán, Martin Molina, Francisco M. Mendoza
An autonomous agent can benefit from a cognitive architecture inspired by conscious beings, using a global workspace that integrates information from subsystems like attention, memory, and inner feelings. In a large experiment set, agents with this architecture navigated environments with multiple independent magnitudes, adapting to find positions matching their preferences. The model incorporates mechanisms for selecting which magnitude to attend to, storing beliefs and past experiences, and controlling information flow. Results suggest that such a design improves the agent's ability to adapt and perform in complex environments.