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ial Intel- ligence, 54(1-2):199 - 227, 1992. PLI2. Jeremy Fishel and Gerald Loeb. Bayesian exploration for intelligent identification of textures. Frontiers in Neurorobotics 6-4, 2012. Pri98. Roy. FYieden. Physics from Fisher Information. Cambridge U. Press, 1998. PT02. G. Pauconnier and M. Turner. Th
r the latter are learned via MOSES or via some other means. The textual realization of Combo resembles LISP with less syntactic sugar. Internally a Combo program is represented as a program tree. • Composer: In the PLN design, a rule is denoted a composer if it needs premises for generating its conse
ve its fingers to pick up a cup, coordinating its movements with its visual perceptions. It's certainly possible to represent this sort of thing in Combo, but Combo may be an awkward tool. However, if one represents low-level procedures like this using another method, e.g. learned cell assemblies in a
the question of programs in what programming language, and in this context we have made a fairly traditional choice, using a special language called Combo that is essentially a minor variant of LISP, and supplying Combo with a set of customized primitives intended to reduce the length of the typical p
-14, 1995. HC08. David Hart and Ben Goertzel. Opencog: A software framework for integrative artificial general intelligence. In ACI, volume 171 of Frontiers in Artificial Intelligence and Applications. pages 468-472. IOS Press, 2008. HHPO12. Adam Hampshire, Roger Highfield, Beth Parkin, and Adrian Owen
r the latter are learned via MOSES or via some other means. The textual realization of Combo resembles LISP with less syntactic sugar. Internally a Combo program is represented as a program tree. • Composer: In the PLN design, a rule is denoted a composer if it needs premises for generating its conse
p 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 nodes with alternative tree nodes, thus obtaining a new, different candidate
I-14, 1995. HGO8. David Hart and Ben Goertzel. Opencog: A software framework for integrative artificial general intelligence. In AGI, volume 171 of Frontiers in Artificial Intelligence and Applications, pages 468-472. IOS Press, 2008. HHPO12. Adam Hampshire, Roger Highfield, Beth Parkin, and Adrian Owen.
d 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 nodes with alternative tree nodes, thus obtaining a new, different candidate p
her the latter are learned via MOSES or via some other means. The textual realization of Combo resembles LISP with less syntactic sugar. Internally a Combo program is represented as a program tree. e Composer: In the PLN design, a rule is denoted a composer if it needs premises for generating its conseq
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