PhD Thesis: Generic Auto-Adaptive System to Control Robots or Software Entities from the Pierre and Marie Curie University UPMC - pdf format (in French, abstract in English).
This home page presents my works on the Auto-Adaptive Systems (AAS) and Artificial Consciousness (AC) subjects.
An Auto-Adaptive System allows parallel processes groups managing with real-time self-evaluated decision-making, i.e. real-time states machines development at a knowledge level (A. Newell) according to multiple ontologies and goals. This system is an Artificial Consciousness computational base.
We address the Artificial Consciousness problem with a philosophical and constructivist informatics approach. The goal is not to copy the human nervous system or implement a specific cognitive model but work on this question: what we are capable of doing thanks to a consciousness? And build a system capable of putting questions for itself, not programmed questions, and assume a behavior in a real world. To resume, build an Artificial Consciousness, not a Human Artificial Consciousness.
To do that, we apply our computer scientist skills: analyze, conception, modeling, abstraction and development in an interdisciplinary field. Currently, Auto-Adaptive System mechanism is compatible with the last research results in neurosciences.
Current projects:
This video presents a Mental Card, a temporal cutting of an Artificial Brain.