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The Matrix Theory of ObjectsAn Update
Sergio Pissanetzky
ModelUniversalityBehaviorConstraintsDynamicsCostChaosAttractorsObjectsLearningInheritanceConclusionsPredictions
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ModelUniversalityBehaviorConstraintsDynamicsCostChaosAttractorsObjectsLearningInheritanceConclusionsPredictions
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ModelUniversalityBehaviorConstraintsDynamicsCostChaosAttractorsObjectsLearningInheritanceConclusionsPredictions
V0 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17
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ModelUniversalityBehaviorDynamicsConstraintsCostChaosAttractorsObjectsLearningInheritanceConclusionsPredictions
ModelUniversalityBehaviorDynamicsConstraintsCostChaosAttractorsObjectsLearningInheritanceConclusionsPredictions
Conclusions● Every discrete , dynamic, dissipative, and chaotic system has a structure of objects.● The structure of objects is encoded in the constraints of the system.● The attractors of the system contain the objects.
Conjecture 1● Objects are necessary and sufficient for intelligence.
Predictions● Every discrete, dynamic, dissipative, and chaotic system is intelligent.● Artificially intelligent systems are possible.● No traditional deterministic computer program can simulate intelligence, not even the programs used for Artificial Intelligence, no matter their size.
Conjecture 2● The brain is a non-deterministic, dissipative system. Then, the theory of objects is the brain code that scientists are seeking.
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