Axioms, properties and criteria: roles for synthesis in the science of consciousness.

Abstract

Synthetic methods in science can aim at either instantiating a target phenomenon or simulating key mechanisms underlying that phenomenon; 'strong' and 'weak' approaches, respectively. While the former assumes a mature theory, the latter find its value in helping specify such theories. Here, we argue that artificial consciousness is best pursued as a (weak) means of theory development in consciousness science, and not as a (strong) axiom-driven project to build a conscious artefact. As with the other sciences of the artificial (intelligence, life), artificial consciousness can contribute by elaborating the possibilities and limitations of candidate mechanisms, transforming properties into mechanism-based criteria, and as a result potentially unifying apparently distinct properties via new mechanism-based concepts. We illustrate our arguments by discussing both axiom-driven and neurobiologically grounded approaches to artificial consciousness.