Take advantage of emergent algorithms
- Use Human-like components (simulated neurons)
- Keep in touch with reality by
- Solve problems like humans do (cognitive models and architecture)
- Develop interesting systems (AI programs)
- Integrate Learning
- Take advantage of emergent algorithms
- Repeat
- Sloman talks about the architecture of brain and mind, but
- he's clear that it's not as clearly striated as computer
architectures.
- Emergent mechanisms are needed to help us understand how to
go from neurons to brain.
- Cell Assemblies (the CA in CABot) are one such phenomena as they
emerge from groups of neurons in reaction to co-firing.
- Other systems need to emerge from neural behaviour.
- For example Granger has done some work on hierarchical categorisation,
- and Knoblauch has done some work on combination of top-down and
bottom-up processing in the visual cortex (V4) for object
recognition.
- From another direction, questions about the "function" of
laminar architecture, brain areas, and recurrent connections
between brain areas are all about emergent algorithms.
- I personally don't have a good handle on many of these
emergent phenomena, nor do I think the community has a good
understanding, but
- I think this is a great area for exploration. I plan to explore
it more.
