DYNAMIC PAGE -- HIGHEST POSSIBLE CLASSIFICATION IS TOP SECRET // SI / TK // REL TO USA AUS CAN GBR NZL (U//FOUO) Advanced Analysis Seminar: Computational Neurobiology FROM: Office of Tradecraft for Analysis (S2113) Run Date: 04/05/2004 FROM: Office of Tradecraft for Analysis (S2113) (U//FOUO) You are invited to the following presentation: Topic: Mechanization of Intelligence -- Computational Neurobiology Speaker: Dr. Hecht-Nielsen Affiliation: Fair Isaac Corporation Date/Time: April 6, 2004 [Tuesday] 1000-1200 Location: Ops2B Conference Ctr, 2B4118-3 (U//FOUO) The topic of this lecture is the description of the underlying mathematical basis of cognition. The main thrust of this talk will cover Confabulation (outlined in pages 2-11 in the document below). (U) Here is a summary of confabulation quoted from the paper referenced below: "The main research program of Artificial Intelligence has been to find some sort of reasoning process that can account for animal cognition. Confabulation, a symbolic prediction technique introduced here, is the antithesis of this program. Instead of trying to reason from assumed facts to conclusions, it uses a strange from of knowledge to rule out unreasonable outcomes; leaving a core set of not-unreasonable possibilities is called an expectation. Then, employing the same knowledge in a different way, it identifies the highest quality conclusions in the expectation. Unlike reasoning, which must employ highly refined and specific knowledge that is difficult and expensive to obtain, confabulation uses a type of knowledge (conditional probabilities between pairs of symbols) that is simple and easy to obtained in the required vast quantities. The recently discovered neuronal Marder/Turigiano/Hebb learning principle produces this kind of knowledge. Confabulation is proposed as the underlying mechanism of all vertebrate cognition." (U) Dr. Hecht-Nielsen proposes that these discoveries will profoundly impact how artificial intelligence techniques are applied to a wide variety of problems. (U) The Institute for Neural Computation's external Web site is: http://inc2.ucsd.edu (U) Dr. Hecht-Nielsen's Paper can be accessed on the external Web at : http://inc2.ucsd.edu/pdfs/UCSD_INC_TechReport0401.pdf "(U//FOUO) SIDtoday articles may not be republished or reposted outside NSANet without the consent of S0121 (DL sid_comms)." DYNAMIC PAGE -- HIGHEST POSSIBLE CLASSIFICATION IS

TOP SECRET // SI / TK // REL TO USA AUS CAN GBR NZL DERIVED FROM: NSA/CSSM 1-52, DATED 08 JAN 2007 DECLASSIFY ON: 20320108