Dual Pathway Impossibility Framework(P=NP)
Year: 2024
Type: article
Abstract: At the heart of complex systems—ranging from computational problems to real-world cases such as criminal investigations—lie two primary pathways for achieving resolution. One pathway relies on external acceptance of information, while the other demands independent, intrinsic determination. This theory introduces the P=NP Framework, which unifies these pathways and investigates the limitations inherent in infinite systems. The work draws from Gödel's incompleteness theorem to underscore the unknowability of certain systemic boundaries while proposing that limitations can be influenced through disturbance or intervention. Furthermore, this paper integrates mathematical modeling and simulations to explore and test the behavior of impossibility dynamics, systemic disturbances, and partitioned pathways. The framework has far-reaching implications, offering a new paradigm for understanding knowledge acquisition, systemic limitations, and pathway duality in systems ranging from computational sciences to epistemology, criminology, and physics.
Author: Rabbani, Hassan Rabbani
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968547439
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