The Source of the Universe Intelligent decision making, quantum measurements and gravity are three different traits of a single flame-like random process.
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Form:Einzelkauf Download
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Sprache:Englisch
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Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Nein
Erscheinungsdatum
12.09.2017
Verlag
BoD - Books on DemandSeitenzahl
48 (Printausgabe)
Dateigröße
4367 KB
Auflage
3. Auflage
Sprache
Englisch
EAN
9783744863476
The unification of quantum mechanics and general relativity remains one of the most fundamental open problems in modern physics. While established approaches such as string theory and M-theory rely on highly complex mathematical constructions, this work pursues a fundamentally different route.
GenI (Generic Intelligence) introduces a discrete stochastic process originally developed as a formal model of collective decision dynamics. Remarkably, this process reproduces exactly the statistical predictions of quantum measurement theory: the probability distribution of final outcomes follows the Born rule directly, without parameter tuning or fine adjustment. At the same time, the averaged dynamics of the model can be embedded into a four-dimensional spacetime manifold whose metric satisfies the structural requirements of Einstein's field equations.
The framework is based on a swarm of formally defined entities whose states are represented by complex amplitudes. A minimal set of rules - entropy generation, excitation-driven selection, and stochastic fluctuation - produces a chaotic yet statistically well-defined selection process. Within this perspective, quantum theory and gravitation do not appear as fundamentally separate theories, but as complementary aspects of a single underlying stochastic dynamic.
The book develops the mathematical foundations of the GenI process, formulates convergence theorems, analyzes the resulting spacetime geometry, and presents extensive simulation results. Rather than extending existing quantum-gravity programs, it proposes a new conceptual pathway toward a possible theory of unification grounded in a fundamental selection principle.
This volume is intended for physicists, mathematicians, and researchers in theoretical foundations who are interested in alternative structural approaches to the reconciliation of quantum mechanics and gravitation.
GenI (Generic Intelligence) introduces a discrete stochastic process originally developed as a formal model of collective decision dynamics. Remarkably, this process reproduces exactly the statistical predictions of quantum measurement theory: the probability distribution of final outcomes follows the Born rule directly, without parameter tuning or fine adjustment. At the same time, the averaged dynamics of the model can be embedded into a four-dimensional spacetime manifold whose metric satisfies the structural requirements of Einstein's field equations.
The framework is based on a swarm of formally defined entities whose states are represented by complex amplitudes. A minimal set of rules - entropy generation, excitation-driven selection, and stochastic fluctuation - produces a chaotic yet statistically well-defined selection process. Within this perspective, quantum theory and gravitation do not appear as fundamentally separate theories, but as complementary aspects of a single underlying stochastic dynamic.
The book develops the mathematical foundations of the GenI process, formulates convergence theorems, analyzes the resulting spacetime geometry, and presents extensive simulation results. Rather than extending existing quantum-gravity programs, it proposes a new conceptual pathway toward a possible theory of unification grounded in a fundamental selection principle.
This volume is intended for physicists, mathematicians, and researchers in theoretical foundations who are interested in alternative structural approaches to the reconciliation of quantum mechanics and gravitation.
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