Algorithmic Model for Universe Formation: Detecting Cosmic Bugs in Expanding Space-Time.

This paper presents a novel algorithmic framework for modeling the formation and expansion of the universe, assuming space-time as a matrix composed of universal bits of space and time. Each space chunk carries information, encoded as universal bits, interacting dynamically to form the evolving space-time structure. The mathematical formalism includes functions that define the relationships between these space-time chunks, integrating non-additive operators to account for emergent phenomena at different scales. By computationally simulating the expansion of this space-time matrix, we introduce a bug detection system that flags anomalies—referred to as ”cosmic bugs”—such as Information Shift, Emergence of New Phenomena, NonAdditive Value behaviors, and Matrix Size Discrepancies. These bugs reflect the universe’s complex evolution and highlight potential deviations in the expected expansion model. Using this framework, we demonstrate the challenges of linking quantum mechanics, classical mechanics, and relativity, suggesting that computational complexities may arise due to these gaps in our current theories. The results show that as the universe evolves, various computational inconsistency emerge, suggesting at deeper physical principles that remain unexplained by existing models possibly due to universe being a simulation and 1 holds computational error or bug in it. The implications of this work extend to the understanding of space-time evolution, particle formation, and cosmological phenomena, raising questions about the completeness of the theories governing the behaviour of universe.