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th Values and Attention Values 255 13.4 Knowledge Representation via Attractor Neural Networks 256 EFTA00623773 xviii Contents 13.4.1 The Hopfield neural net model 256 13.4.2 Knowledge Representation via Cell Assemblies 257 13.5 Neural Foundations of Learning 258 13.5.1 Hebbian Learni
ve pattern recognition as well as static pattern recognition. Audition likely utilizes a similar hierarchy. Olfaction may use something more like a Hopfield attractor neural network, as described in Chapter 13. The networks corresponding to different sense modalities have multiple cross-linkages, more a
tive Schematic 133 7.3 Toward a Formal Characterization of Real-World General Intelligence 135 7.3.1 Biased Universal Intelligence 136 7.3.2 Connecting Legg and Hutter's Model of Intelligent Agents to the Real World 137 7.3.3 Pragmatic General Intelligence 138 7.3.4 Incorporating Computational Cost
e eee eee 255 13.4 Knowledge Representation via Attractor Neural Networks ................... 256 HOUSE_OVERSIGHT_012913 xviii Contents 13.4.1 The Hopfield neural net model ..............0..0 022 e eee 256 13.4.2 Knowledge Representation via Cell Assemblies .................2.05- 257 13.5 Neural Foundati
tive pattern recognition as well as static pattern recognition. Audition likely utilizes a similar hierarchy. Olfaction may use something more like a Hopfield attractor neural network, as described in Chapter 13. The networks corresponding to different sense modalities have multiple cross-linkages, more at
rd a Formal Characterization of Real-World General Intelligence ......... 135 7.3.1 Biased Universal Intelligence............ 0.00. ee eee 136 7.3.2 Connecting Legg and Hutter’s Model of Intelligent Agents to the Real World... ee cet ete e tne e eens 137 7.3.3 Pragmatic General Intelligence ............ 00... c
FTA00623877 102 5 A Generic Architecture of Human-Like Cognition touch and smell (the latter being better modeled as something like an asymmetric Hopfield net, prone to frequent chaotic dynamics ILIAV*051) - these may also cross-connect with each other and with the more hierarchical perceptual subnetw
ence have specific limits on their intelligence. EFTA00623912 7.3 Toward a Formal Characterization of Real-World General Intelligence 137 7.3.2 Connecting Legg and Hutter's Model of Intelligent Agents to the Real World A notable aspect of the Legg and Hutter formalism is the separation of the reward mechan
RSIGHT_013017 102 5 A Generic Architecture of Human-Like Cognition touch and smell (the latter being better modeled as something like an asymmetric Hopfield net, prone to frequent chaotic dynamics [LLW~05]) — these may also cross-connect with each other and with the more hierarchical perceptual subnetwork
ve specific limits on their intelligence. HOUSE_OVERSIGHT_013052 7.3 Toward a Formal Characterization of Real-World General Intelligence 137 7.3.2 Connecting Legg and Hutter’s Model of Intelligent Agents to the Real World A notable aspect of the Legg and Hutter formalism is the separation of the reward mechani
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