Epstein Secrets

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

l Agents to a Physical Robot 110 6.4 Memory Types and Associated Cognitive Processes in CogPrime 110 6.4.1 Cognitive Synergy in PLN 111 6.5 Goal-Oriented Dynamics in CogPrime 113 6.6 Analysis and Synthesis Processes in CogPrime 114 6.7 Conclusion 116 Section II Toward a General Theory of General Int

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

............... 110 6.4 Memory Types and Associated Cognitive Processes in CogPrime ............. 110 6.4.1 Cognitive Synergy in PLN... eee 111 6.5 Goal-Oriented Dynamics in CogPrime ......... 0.0.0.0 e eee ee eee 113 6.6 Analysis and Synthesis Processes in CogPrime ...............00 2000 c eee eee 114 6.7 Conclusion

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

ed directly to make the needed assessment, or else be translated into logical rules to be used within PLN inference. For HOUSE_OVERSIGHT_013028 6.5 Goal-Oriented Dynamics in CogPrime 113 example, perhaps MOSES would discover that older males wearing ties tend not to become regular visitors. If the new playmate is an o