On Tue, Sep 30, 2008 at 2:43 PM, Lukasz Stafiniak <[EMAIL PROTECTED]>wrote:
> On Tue, Sep 30, 2008 at 3:38 PM, Ben Goertzel <[EMAIL PROTECTED]> wrote: > > > > Markov chains are one way of doing the math for spreading activation, but > > e.g. > > neural nets are another... > > > > But these are related things, neural nets can be considered as > approximate methods for (some sorts of) graphical models. This leaves > me wondering on how graphical models relate to economics > interpretations of spreading activation. For sure, there are close mathematical relationships between all these things... For instance, Hebbian-type neural net learning methods and Markov chains may both be usefully modeled in terms of probabilistic iterated function systems ... But still, that doesn't mean that every spreading-activation method is "just a Markov chain" in the most obvious interpretation of the phrase... ben ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=114414975-3c8e69 Powered by Listbox: http://www.listbox.com
