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The Matrix Theory of ObjectsAn Update
Sergio Pissanetzky
Sergio@SciControls.com
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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ModelUniversalityBehaviorConstraintsDynamicsCostChaosAttractorsObjectsLearningInheritanceConclusionsPredictions
V0 V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17
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1 8 11 14 2 7 9 13 6 0 10 12 3 4 17 15 5 1618
1114279
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17155
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2 7 9 13 5 16 6 0 10 12 4 15 3 17 1 8 11 14279
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0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 170123456789
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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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