Black Pearl

Black Pearl develops a computational and mathematical framework for analyzing dependency, causation, necessity, essence, sufficient reason, mereology, grounding, and ultimate explanation within an Avicennian architecture. The book formalizes material, formal, efficient, and final dependency as typed relations, integrates them with the Pensive cognitive architecture, and studies structural questions involving foundation, explanatory coverage, modal invariance, causal arity, regress, minimal cause, and vertical grounding. Its central scientific contribution is to identify which explanatory properties can be finitely verified, which require additional bridge principles, and which global decision problems become computationally undecidable on sufficiently expressive effective classes. The result is a formal theory of how finite intelligence can represent, test, and operate over complex explanatory structures without collapsing uncertainty, non-resolution, and metaphysical status into one another.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23061462
Primary Topic
Philosophy and Theoretical Science
Type
article
Field-Weighted Citation Impact
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Black Pearl

Alireza Khajouei, Mehdi Sabzalian
Zenodo (CERN European Organization for Nuclear Research)
Philosophy and Theoretical Science
article

Black Pearl

Alireza Khajouei, Mehdi Sabzalian
article en

Abstract

Black Pearl develops a computational and mathematical framework for analyzing dependency, causation, necessity, essence, sufficient reason, mereology, grounding, and ultimate explanation within an Avicennian architecture. The book formalizes material, formal, efficient, and final dependency as typed relations, integrates them with the Pensive cognitive architecture, and studies structural questions involving foundation, explanatory coverage, modal invariance, causal arity, regress, minimal cause, and vertical grounding. Its central scientific contribution is to identify which explanatory properties can be finitely verified, which require additional bridge principles, and which global decision problems become computationally undecidable on sufficiently expressive effective classes. The result is a formal theory of how finite intelligence can represent, test, and operate over complex explanatory structures without collapsing uncertainty, non-resolution, and metaphysical status into one another.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 8%
Philosophy and Theoretical Science
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