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essing over the years, including some of the Webmind Diehards and also Moshe Looks, Bruce Klein, Izabela Lyon Freire, Chris Poulin, Murilo Queiroz, Predrag Janicic, David Hart, Ari Heljakka, Hugo Pinto, Deborah Duong, Paul Prueitt, Glenn Tarbox, Nil Geisweiller and Cassio Pennachin (the co-authors of this book
nowledge representation and learning. Among the many kinds of patterns in intelligent systems, semiotic patterns are particularly interesting ones. Peirce decomposed these into three categories: • iconic patterns, which are patterns of contextually important internal similarity between two entities (e
gressing over the years, including some of the Webmind Diehards and also Moshe Looks, Bruce Klein, Izabela Lyon Freire, Chris Poulin, Murilo Queiroz, Predrag Janicic, David Hart, Ari Heljakka, Hugo Pinto, Deborah Duong, Paul Prueitt, Glenn Tarbox, Nil Geisweiller and Cassio Pennachin (the co-authors of this book),
knowledge representation and learning. Among the many kinds of patterns in intelligent systems, semiotic patterns are particularly interesting ones. Peirce decomposed these into three categories: @ iconic patterns, which are patterns of contextually important internal similarity between two entities (e.
e First Conf. on AGI. IOS Press, 2008. Ger99. Michael Gershon. The Second Brain. Harper, 1999. GGCr11. Ben Goertzel, Nil Geisweiller, Lucio Coelho, Predrag Janicic, and Cassio Pennachin. Real World Reasoning. Atlantis, 2011. GGKO02. T. Gilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psychology
The Origin of Life. Dover, 1952. Pal82. Gunter Palm. Neural Assemblies. An Alternative Approach to Artificial Intelligence. Springer, 1982. Pei34. C, Peirce. Collected papers: Volume V. Pragmatism and pragmaticism. Harvard University Press. Cambridge MA., 1934. Pel05. Martin Pelikan. Hierarchical Bayesian
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