The Matrix Theory of ObjectsAn Update
Sergio Pissanetzky
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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CA A C
A A CA A C
A CA A C
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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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OUTPUT
1 8 11 14 2 7 9 13 6 0 10 12 3 4 17 15 5 1618
1114279
1360
101234
17155
16 ●
2 7 9 13 5 16 6 0 10 12 4 15 3 17 1 8 11 14279
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1660
10124
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1718
1114 ●
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 170123456789
1011121314151617 ●
3 4 17 15 2 7 9 13 1 8 11 14 5 16 6 0 10 1234
1715279
1318
11145
1660
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1 8 11 14 2 7 9 13 3 4 17 15 6 0 10 12 5 1618
1114279
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171560
10125
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0 6 10 12 2 7 9 13 1 8 11 14 4 15 3 17 5 1606
1012279
1318
11144
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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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