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EFTA00624128_sub_001 - EFTA00624128_100
ral Calculi 264 35.3 Uncertainty with Distributional Fuzzy Values 267 35.4 Spatio-temporal Inference in PLN 270 35.5 Examples 272 35.5.1 Spatiotemporal Rules 272 35.5.2 The Laptop is Safe from the Rain 273 35.5.3 Fetching the Toy Inside the Upper Cupboard 273 35.6 An Integrative Approach to Plan
EFTA00624128_sub_003 - EFTA00624128_300
applicability; but for sake of concreteness, we now give a handful of examples illustrating applications to commonsense reasoning problems. 35.5.1 Spatiotemporal Rules The rules provided here are reduced to the strict minimum needed for the examples: 1. At $T, if $X is inside $Y and $Y is inside $Z then Si( is ins

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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Simple Overview of PLN
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