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tic Logic Networks. Springer, 2008. CKD89. D. E. Goldberg, B. Korb, and K. Deb. Messy genetic algorithms: Motivation, analysis, and first results. Complex Systems, 1989. EFTA00624677 References 531 CLI0. Ben Coertzel and Ruiting Lian. A probabilistic characterization of fuzzy semantics. Proc. of ICAI-10,
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
ven Clues to the Origin of Life: A Scientific Detective Story. Cambridge University Press, 1990. Cse06. Peter Csermely. Weak Links: Stabilizers of Complex Systems from Proteins to Social Networks. Springer, 2006. CSG07. Subhojit Chakraborty, Anders Sandberg. and Susan A Greenfield. Differential dynamics of t
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
Smith. Seven Clues to the Origin of Life: A Scientific Detective Story. Cambridge University Press, 1990. Peter Csermely. Weak Links: Stabilizers of Complex Systems from Proteins to Social Networks. Springer, 2006. Subhojit Chakraborty, Anders Sandberg, and Susan A Greenfield. Differential dynamics of tran- sien
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
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