The feasibility of artificial consciousness through the lens of neuroscience
Aru, Jaan, Larkum, Matthew, Shine, James M.
–arXiv.org Artificial Intelligence
Biological cells have multi-level organization, and depend on a further cascade of biophysical intracellular complexity [79-83]. For instance, consider the Krebs cycle that underlies cellular respiration, a key process in maintaining cellular homeostasis [84]. Cellular respiration is a crucial biological process that enables cells to convert the energy stored in organic molecules into a form of energy that can be utilized by the cell, however this process is not compressible into software as processes like cellular respiration need to happen with real physical molecules. Note that our aim is not to suggest that consciousness requires the Krebs cycle, but rather to highlight that perhaps consciousness is similar: it cannot be abstracted away from the underlying machinery [68-69,85]. Importantly, we are not claiming that consciousness cannot be captured within software at all [68-69,85-87]. Rather, we emphasize that we have to at least entertain the possibility that consciousness is linked to the complex biological organization underlying life [74-81], and thus any computational description of consciousness will be much more complex than our present-day theories suggest (Figure 1).
arXiv.org Artificial Intelligence
Aug-28-2023
- Country:
- Europe
- Estonia > Tartu County
- Tartu (0.04)
- Germany > Berlin (0.04)
- United Kingdom > England
- Oxfordshire > Oxford (0.04)
- Estonia > Tartu County
- North America > United States
- Illinois > Cook County
- Chicago (0.04)
- Minnesota (0.04)
- New York (0.04)
- Illinois > Cook County
- Oceania > Australia
- New South Wales > Sydney (0.04)
- Europe
- Genre:
- Research Report (0.40)
- Industry:
- Health & Medicine > Therapeutic Area > Neurology (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science > Neuroscience (0.69)
- Issues > Philosophy (0.69)
- Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence