Will Pearson wrote : The resource allocation problem and why it needs to be solved first ... Is there one right way of deciding these things when you have limited resources? At time A might you want more reasoning done (while in a debate) and at time B more visual processing (while driving).
An intelligent system needs to solve this problem for itself, as only it will know what is important for the problems it faces. That is it is a local problem. It also requires resources itself. If resources are tight then very approximate methods of determining how many resources to spend on each activity. Due to this, the resource management should not be algorithmic, but free to adapt to the amount of resources at hand. I'm intent on a economic solution to the problem, where each activity is an economic actor. ======================= I don't know exactly what Will meant when he said that resource management should not be algorithmic, but I feel that resource management can be done logically since the management of allocating and combining resources and then finding them when needed can be separated from the conceptual complexities that are necessary for advanced AI. While the initial management decisions of resources would be dependent on these conceptual complexities, this dependence does not have to subsequently reflect every dynamic of that complexity. A better way to say this might to be to declare that Will's idea of resource management can be seen as being comprised of two distinct parts, the one that is fully integrated into the conceptual complexity that is necessary for such a system and another part that is managing the resources once the conceptual interrelations are decided on. This second part can be logical. Although many of these interrelations are going to be changing, the logical part can take over again after the conceptual relations are decided on. The only problem with this analysis is that current logical methods of indexing are probably not adequate to work with the kind of complexity that we are currently thinking of because the Frame Problem is relevant to the problem of quickly finding relevant data in a massive collection of distributed data that is highly associative and interrelated. You can add indexing to alleviate the burden of the problem, but this only works up to the point where the rate of complexity of the additional indexing overtakes the decrease in complexity that the indexing can offer, and this point can be reached pretty quickly. Jim Bromer ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=98558129-0bdb63 Powered by Listbox: http://www.listbox.com
