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ences 347 Hut95. E. Hutchins. Cognition in the Wild. MIT Press. 1995. Hut96. Edwin Hutchins. Cognit
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
action with location and time information set to wild cards - and potentially, some other attributes se
hema execution in the first place. The problem of credit assignment thus becomes a problem of creating appropriate heuristics to guide inference of ImplicationLinks of the form described above. Assignment of credit is then implicit in the calculation of truth values for these links. The difficulty is that the pr
erences 347 Hut95. E. Hutchins. Cognition in the Wild. MIT Press, 1995. Hut 96. Edwin Hutchins. Cogniti
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
Entities connected to both Courtney Wild and ImplicationLinks

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