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timation via Integrative Intelligence 242 Section V Declarative Learning 34 Probabilistic Logic Networks 247 34.1 Introduction 247 34.2 A Simple Overview of PLN 248 34.2.1 Forward and Backward Chaining 249 34.3 First Order Probabilistic Logic Networks 250 34.3.1 Core FOPLN Relationships 250 34.3
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ust evaluate as it goes about its business in pursuing a given goal in a certain context. Inference control will be addressed in Chapter 36. 34.2 A Simple Overview of PLN The key elements of PLN are its rules and Formulas. In general,a PLN rule has • Input: A tuple of Atoms (which must satisfy certain criteria, speci

Marc Rich
PersonAmerican commodities trader (1934–2013)
DeSTIN
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Adaptive
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Python
OrganizationGeneral-purpose programming language
Machine Learning
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OpenCog
OrganizationArtificial intelligence research project
CogPrime
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Bridging
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Entropy
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Combo
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Statics
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MindAgents
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Multisensory Integration
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The Importance of Semantic Feedback
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Mining Subtrees
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IRC Learning
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Spontaneous Learning
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MOSES Learning
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Integrative Intelligence
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Spatiotemporal Rules
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