title: Hierarchical approaches to understanding consciousness.
abstract: There has been much discussion on what a scientific theory of consciousness would look like, and even whether such a theory is possible. Some common misunderstandings of the nature of theories (e.g., in the physical sciences) have confused the discussion of theories concerning consciousness. Theories in the physical sciences establish hierarchies of descriptions that relate high-level descriptions of macro-level phenomena to detailed-level descriptions at a micro level. Detailed descriptions are usually more accurate but information-dense and therefore often beyond human comprehensibility (unless limited to tiny segments of a macro-level phenomenon). High-level descriptions are usually much less information-dense but more approximate. The ability to map between levels of description, and in particular the understanding of when a shift from a higher-level to a more detailed description is needed to achieve a desired degree of accuracy, is fundamental to an effective theory in any field. The form of such a theory of consciousness is sketched, and the limitations of some alternative approaches described.
authors: Department of Computer Science, Australian National University, Canberra, ACT 0200, Australia. andrew.coward@anu.edu.au
authors: L Andrew
authors: LA
authors: Coward
authors: Ron
authors: R
authors: Sun
mesh_terms: D001921:Brain / Q000502:physiology; D003243:Consciousness / Q000502:physiology*; D006801:Humans; D008960:Models, Psychological; D016571:Neural Networks, Computer