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> That mammalian brains are motivated by optimization of energy expenditure. Like anything in biologically evolved systems, energy efficiency is key, since food
by kylebrown 11y ago
> That mammalian brains are motivated by optimization of energy expenditure. Like anything in biologically evolved systems, energy efficiency is key, since food is often scarce.
That doesn't square with empirical reality. Evolved biological systems appear to be optimized for robustness to perturbations, not efficiency (John Doyle argues that there is in fact a fundamental tradeoff between robustness and efficiency, for all types of complex systems not just biological).
> how do mammalian brains problem solve using just thoughts.
They don't. Sensory input is required for brains to learn new classes of problems.
> find a way to train RNNs that are able to adapt to new problems
Is this something different than multi-task learning?
- Lambdanaut 11y ago> They don't. Sensory input is required for brains to learn new classes of problems. Sensory input is required to gain the knowledge, but then you can just as easily muse over your gained knowledge for further insights in a sensory deprivation chamber as you can in a classroom.
- vegedor 11y agoImmediate verification of insight by means of experimentation often is the only viable long term strategy when the search space is vast. I.e. prediction, provocation and reception of sensory inputs. Maths without application is rather dire, IMHO, because the problem then is to find where it's applicable.