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EFTA00624128_sub_006 - EFTA00624128_555

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s, or observe the consequences of various hypothetical situations. Particularly important for dealing with episodic knowledge. • Interval Algebra: Allen Interval Algebra, a mathematical theory of the relationships be- tween time intervals. CogPrime utilizes a fuzzified version of classic Interval Algebra. • IRC Learn

istics, 2007. Wah06. Wolfgang Wahlster. SmartKom: Foundations of Multimodel Dialogue Systems. Springer, 2006. Wan06. Pei Wang. Rigid Flexibility: The Logic of Intelligence. Springer, 2006. WF05. Ian Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 2005. Win95. St

EFTA00623759_sub_004 - EFTA00623759_369

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ess, 2010. Wan95. P. Wang. Non-Axiomatic Reasoning System. PhD Thesis, Indiana University. Bloomington, 1995. Wan06. Pei Wang. Rigid Flexibility: The Logic of Intelligence. Springer. 2006. Was09. Mark Weser. Ethics for self-improving machines. In ACf-09, 2009. http://vimeo. con/ 3 6 9 8 8 9 O. Wel90. H. Wellman. Th

HOUSE_OVERSIGHT_012899_sub_004 - HOUSE_OVERSIGHT_013267

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ces, or observe the consequences of various hypothetical situations. Particularly important for dealing with episodic knowledge. e Interval Algebra: Allen Interval Algebra, a mathematical theory of the relationships be- tween time intervals. CogPrime utilizes a fuzzified version of classic Interval Algebra. e IRC Learn

Press, 2010. Wan95. P. Wang. Non-Aziomatic Reasoning System. PhD Thesis, Indiana University. Bloomington, 1995. Wan06. Pei Wang. Rigid Flexibility: The Logic of Intelligence. Springer, 2006. Was09. Mark Waser. Ethics for self-improving machines. In AGI-09, 2009. http: //vimeo.com/ 3698890. Wel90. H. Wellman. The Child’s