I have a doubt about role of stochastic variance in this parallel terraced scan as it proceeds in humans (or could proceed with the same functional behavior in AIs). Could it be that low-level mechanisms are not that stochastic and just compute a 'closure' of given context? Closure brings up a specific collection of answer-candidates, and if they are unsatisfactory or if there is time to contemplate some more, deliberation level slightly changes a context by introducing particular bias in it, so that 'closure' gives a different set of answers.
Effectively, this process is separated on two levels, where low-level process doesn't work stochastically, and high-level process messes with initial conditions on low-level process, using some kind of ad-hoc pseudorandom generation of biases (for example, based on collection of simple procedures that iterate on available concepts). It certainly feels this way introspectively, and I'm not sure how it can be determined experimentally, probably by delays between phases of this process. -- Vladimir Nesov mailto:[EMAIL PROTECTED] ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=8660244&id_secret=73604704-0ab273
