|To:||Ali Hashemi <ali@xxxxxxxxx>, "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx>|
|From:||Duane Nickull <dnickull@xxxxxxxxx>|
|Date:||Sun, 3 Apr 2011 19:43:21 -0700|
Agreed. My intent is not to pass judgment that emotions are not as good as a more Spock/Vulcan approach. Just to note that they are two systems which may compete in terms of course of action. Computational Intelligence must somehow allow the development of some of these hypothesis to reach an advanced stage in order to truly grasp the ramifications or potential. Narrowly scoping inference results at an early stage may lead to failure to the realization of such potential.|
Researchers and implementers must also balance the potential for exponential growth of hypothesis if all hypothesis are left totally unchecked. This can easily happen when using the Blackboard AI pattern in the absence of a feedback loop. In speech recognition or multi-tap mobile (number to text) software, it is relatively easy to apply grammar rules to weigh higher on linear sentence potential. In the absence of such feedback, a more complex set of hypothesis are harder to develop to a point where the hypothesis are weighed.
My belief is that humans develop intuition which allows people to sort tuples based on a combination of instinct and experience patterns. Bestowing such reasoning powers on computational intelligence agents is highly problematic for any developer.
“First things first, but not necessarily in that order” Dr. Who
On 4/3/11 7:04 PM, "Ali Hashemi" <ali@xxxxxxxxx> wrote:
John, thanks for the links and extra background, much appreciated.
Adobe LiveCycle Enterprise Architecture - http://www.adobe.com/products/livecycle/
Adobe MAX 2011 - http://technoracle.blogspot.com/2011/03/adobe-max-2011.html
TV Show - http://tv.adobe.com/show/duanes-world/
Blog – http://technoracle.blogspot.com/
Music – http://22ndcenturyofficial.com/
Twitter – http://twitter.com/duanechaos/
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