Name
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.artmed.2008.07.009 | Artificial Intelligence In Medicine |
Keywords | Field | DocType |
phenomenology,axioms,artificial consciousness | Artificial consciousness,Phenomenology (philosophy),Cognitive science,Axiom,Computer science,Consciousness,Artificial intelligence,Phenomenon,Development theory,Machine learning | Journal |
Volume | Issue | ISSN |
44 | 2 | 0933-3657 |
Citations | PageRank | References |
2 | 0.54 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert W. Clowes | 1 | 2 | 0.54 |
| Anil K. Seth | 2 | 338 | 31.33 |