We can evaluate models of natural intelligence, as well as their individual components, by using a model of hardware and development costs, ignoring almost all the details of biology. The basic argument is that neither the gross anatomy of the brain nor the behavior of individual cells nor the behavior of the whole poses sufficient constraint on the algorithms that might run within the brain, but that the process of engineering an intelligence under this cost model poses similar challenges to those faced by a human growing from a single cell to an adult. This will allow us to explore architectural ideas freely, yet retain confidence that when a system works, the principles allowing it to work are likely to be similar to those that allow human intelligence to work.
Subjects: 4. Cognitive Modeling; 2. Architectures
Submitted: May 15, 2007