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ledge and intuition regarding CogPrime. For example, beyond the ideas presented here, there is a body of work on the OpenCog wiki site, and then the OpenCog codebase itself. More extensive introductory remarks may be found in Preface of Part 1, including a brief history of the book and acknowledgements
sign. No doubt it will evolve in some respects as implementation progresses; one of the principles kept in mind during the design and development of OpenCog was modular- ity, enabling substantial modifications to particular parts of the framework to occur without requiring wholesale changes throughout th
nference Control 277 36.1 Introduction 277 36.2 High-Level Control Mechanisms 277 36.2.1 The Need for Adaptive Inference Control 278 36.3 Inference Control in PLN 279 36.3.1 Representing PLN Rules as GroundedSchemallodes 279 36.3.2 Recording Executed PLN Inferences in the Atomspace 279 36.3.3 A
N nodes are activated and exported to the OpenCog Atomspace • Recognition that a block is present is carried out, either by - PLN inference within OpenCog, drawing the conclusion that a block is present from the exported predicates, using ImplicationLinks comprising a working definition of a "block"
ning to bridge DeSTIN and PLN Ls intended to fit. This architecture is not yet fully implemented, but is a straightforward extension of the current OpenCog architecture for processing data from game worlds IGEA08], and is scheduled for implementation later in 2013 in the course of a funded project invo
hosen an alternate strategy for PLN. We have one inference control scheme, which is quite simple, but which relies partially on EFTA00624425 36.3 Inference Control in PLN 279 structures coming from outside PLN proper. The requisite variety of inference control strategies is provided by variety in the non-PLN
igence (or any other kind of highly powerful general intelligence), the creation of novel ideas will be paramount. New idea creation takes place in OpenCog via a variety of methods - e.g. inside MOSES which creates new program trees, PLN which creates new logical relationships, ECAN which creates new a
36.3 Inference Control in PLN 281 36.3.4 Basic Forward and Backward Inference Steps The choice of an inference step, at the microscopic level, may be done in a number of
Entities connected to both OpenCog and Inference Control

Marc Rich
PERSONDeSTIN
ORGANIZATIONCogPrime
ORGANIZATIONConceptNodes
ORGANIZATION
Marvin Minsky
PERSONMindAgents
PERSON
Python
ORGANIZATIONPredicateNode
LOCATIONPredicateNodes
ORGANIZATIONthe Webmind AI Engine
ORGANIZATIONImplicationLinks
ORGANIZATIONTruthValues
ORGANIZATIONCombo
LOCATIONOccam
PERSONSchemallode
PERSON
SubsetLink
PERSONMachine Learning
PERSONAdaptive
ORGANIZATIONSatisfyingSet
ORGANIZATIONSchemata
ORGANIZATION