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ease. In Proceedings of 8th IEEE International Conference on Cognitive Informatics., 2009. Cha0s. Gregory Chaitin. Algorithmic Information Theory. Cambridge University Press, 2008. EFTA00624676 530 A Glossary Cha09. Mark Changizi. The Vision Revolution. l3enBella Books, 2009. Che97. K. Chellapilla. Evolving comput
ergoals like gaining knowledge are not funded as much with STI currency just now, as they are not immediately relevant. Action selection, based on ImplicationLinks derived via PLN (between various possible activ- ities and the subgoal S) causes it to start experimentally building some blocks structures. Past ex
al World Reasoning. Atlantis, 2011. CCK02. T. Cilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press, 2002. Cib77. J. J. Gibson. The theory of affordances. In R. Shaw & J. Bransford. Erlba , editor, Perceiving, Acting and Knowing. 1977. Cib78.
or of Link2Atom. However, the ideas embodied in these rules may be useful; if cleaned up the rules might profitably be ported into the Atomspace as ImplicationLinks. • Representation Building: A stage within MOSES, wherein a candidate Combo program tree (within a deme) is modified by replacing one or more tree
Real World Reasoning. Atlantis, 2011. GGKO02. T. Gilovich, D. Griffin, and D. Kahneman. Heuristics and biases: The psychology of intuitive judgment. Cambridge University Press, 2002. Gib77. J. J. Gibson. The theory of affordances. In R. Shaw & J. Bransford. Erlbaum, editor, Perceiving, Acting and Knowing. 1977. Gib78. Joh
intelligent system explicitly represents in its knowledge base, and expends some resources trying to achieve. Goal Nodes (which may be Nodes or, e.g. ImplicationLinks) are used for this purpose in OpenCog. e Goal-Driven Learning: Learning that is driven by the cognitive schematic i.e. by the quest of figuring out
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