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FTA00624489 41.5 Inference-Cuided Evolution of Pattern-Embodying Predicates 343 components. We want to identify and reward those Predicates whose TruthValues actually add information beyond what is implicit in the simple fact of combining their components. For instance, consider the PredicateNode AND I
the form ExecutionLink C Ai Bi i-1, .. ,n one may wish to find a Schemallode so that the corresponding Schemallode will fulfill this same set of ExecutionLinks. It may seem surprising at first that a ConceptNode might be involved with ExecutionLinks, but remember that a function can be seen as a set of tupl
possible predicate whose corresponding PredicateNode P satisfies SatisfyingSet(P) C On the other hand, given a ConceptNode C involved in inferred ExecutionLinks of the form ExecutionLink C Ai Bi i-1, .. ,n one may wish to find a Schemallode so that the corresponding Schemallode will fulfill this same set
associated with them, each of which are small collections of numbers; there are multiple versions of truth values, with varying degrees of detail. TruthValues are context-dependent, and useful Atoms will typically have multiple TruthValues. indexed by context. • Some Atoms are nodes, and may have names.
ages in terms of memory usage and lookup speed. For purposes of logically reasoning about schema, it is useful to create binary links repre- senting ExecutionLinks with some of their arguments fixed. We name these as follows: ExecutionLink) A B means: X so that ExecutionLink X A B ExecutionLink2 A B means: X s
n-channel importance separately from ordinary importance. And, just as we have channel-specific AttentionValues, we may also have channel-specific TruthValues. This allows the system to separately account for the frequency of a given percep- tual item in a given interaction channel. However, no specific mec
maPool. 24.6 GoalBasedSchemaLearning Finally, we have the process of trying to figure out how to achieve goals, i.e. trying to learn links between ExecutionLinks and goals G. This process should he focused on goals that have a high importance but for which feasible achievement-methodologies are not yet known.
Entities connected to both TruthValues and ExecutionLinks
ConceptNodes
ORGANIZATION
Marc Rich
PERSONOpenCog
ORGANIZATIONMindAgents
PERSONPredicateNodes
ORGANIZATIONPredicateNode
LOCATIONDeSTIN
ORGANIZATIONImplicationLinks
ORGANIZATIONSchemallode
PERSONScheduler
ORGANIZATIONthe Webmind AI Engine
ORGANIZATIONSimilarityLinks
ORGANIZATION
Marvin Minsky
PERSONCogPrime
ORGANIZATIONSTICurrency
LOCATIONCombo
LOCATIONSchemata
ORGANIZATIONOpenSim
ORGANIZATIONAttentionValues
ORGANIZATIONFishgram
PERSON