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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
nt and/or interesting sub-hypergraphs in the Atom.space. • First-Order Inference (FOI): The subset of PLN that handles Logical Links not in- volving VariableAtoms or higher-order functions. The other aspect of PLN, Higher-Order Inference, uses Truth Value formulas derived from First-Order Inference. EFTA00624
tricks, fetch_ball and triple_kick to be described below. in order to calibrate the size penalty function: 1. fetch_ball, which corresponds to the Combo program and_seg (goto (ball) grab (ball) goto (owner) drop) 2. triple_kick, if the stick is near the ball then kick 3 times with the left leg an
n x, two possibilities exist: EFTA00624385 33.6 Hierarchical Program Learning 239 • There is already a model for PredicateNodes at position x in Combo trees in the given population, in which case a population of PredicateNodes potentially living at that position is drawn from the known model, and
breathe, therefore people breathe." Second: • "'Variable fulfillment query"'. Given a target Link (Atoms may be Nodes or Links) with one or more VariableAtoms among its targets, figure out what Atoms may be put in place of these VariableAtoms, so as to give the target Link a high strength* confidence (i.e.
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
ent and/or interesting sub-hypergraphs in the Atomspace. • First-Order Inference (FOI): The subset of PLN that handles Logical Links not in- volving VariableAtoms or higher-order function.s. The other aspect of PLN, Higher-Order Inference, uses Truth Value formulas derived from First-Order Inference. EFTA0062
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
equent and/or interesting sub-hypergraphs in the Atomspace. First-Order Inference (FOI): The subset of PLN that handles Logical Links not in- volving VariableAtoms or higher-order functions. The other aspect of PLN, Higher-Order Inference, uses Truth Value formulas derived from First-Order Inference. HOUSE_OVER
Entities connected to both Combo and VariableAtoms

Marc Rich
PERSONConceptNodes
ORGANIZATIONOpenCog
ORGANIZATIONCogPrime
ORGANIZATIONPredicateNodes
ORGANIZATIONPredicateNode
LOCATION
Woody Allen
PERSONMindAgents
PERSONDeSTIN
ORGANIZATIONImplicationLinks
ORGANIZATION
George W. Bush
PERSON
Gerald Edelman
PERSON
Stephen Hawking
PERSON
Jean Piaget
PERSON
Vicky Ward
PERSONHebbian Learning
ORGANIZATIONthe Webmind AI Engine
ORGANIZATIONTruthValues
ORGANIZATION
Lawrence Krauss
PERSONAllen Interval Algebra
ORGANIZATION