Unified Possibility-Causality-Conflict Theory
Description
This manuscript proposes the Unified Possibility-Causality-Conflict Theory (UPCCT), a
conceptual and formal research framework for examining how one event may admit multiple
candidate outcomes or interpretations, how a lens or medium shapes their representation, how
selected possibilities are connected to causal models and consequences, and how some candidate
states or claims may be jointly feasible while others are conditionally incompatible. The
framework distinguishes four within-system mechanisms: Modal Possibility Multiplicity (M1),
Lens-Medium Epistemic Projection (M2), Possibility-Cause-Consequence Blending (M3), and
Conditional Possibility Exclusion and Conflict (M4). A fifth component, Possibility-Conflict
and Paradox Dynamics (PCPD), is proposed as a metalevel research programme spanning
formal mathematics, epistemology, measurement theory, causal inference, and dynamical
systems.
The framework distinguishes possibility from probability, candidate coexistence from joint
realizability, representation from reality, causal attribution from causal structure, evaluative
opposition from logical contradiction, and conflict from paradox. Two author-supplied phe-
nomenological case descriptions are used throughout: adversity and endurance under divergent
evaluations, and unreciprocated attachment under divergent evaluations. These cases are
treated as motivating examples, not as independently verified empirical observations or evidence
of a universal law.
The manuscript defines variables, relations, candidate mathematical structures, operational
indicators, falsifiable hypotheses, comparative tests, counterexamples, and a staged validation
protocol. It does not claim that UPCCT is an established scientific theory, that PCPD
is an established academic discipline, or that the framework is empirically validated. Its
potential contribution must be established through literature comparison, explicit semantics,
measurement, predictive or explanatory advantage, and independent evaluation.
Files
Unified_Possibility_Causality_Conflict_Theory__UPCCT_.pdf
Additional details
References
- [1] L. von Bertalanffy, General System Theory: Foundations, Development, Applications. New York: George Braziller, 1968. [2] W. R. Ashby, An Introduction to Cybernetics. London: Chapman & Hall, 1956. [3] W. A. Carnielli and M. E. Coniglio, "Paraconsistent Logic," in The Stanford Encyclopedia of Philosophy. Substantive revision, 17 April 2026. Available at: https://plato.stanford.edu/entries/logic-paraconsistent/. Accessed 15 October 2026. [4] D. Dubois and H. Prade, Possibility Theory: An Approach to Computerized Processing of Uncertainty. New York: Plenum Press, 1988. [5] R. Frigg and J. Nguyen, Modelling Nature: An Opinionated Introduction to Scientific Representation. Cham: Springer, 2020. doi: https://doi.org/10.1007/978-3-030-45153-0. [6] D. H. Krantz, R. D. Luce, P. Suppes, and A. Tversky, Foundations of Measurement, Volume I: Additive and Polynomial Representations. New York: Academic Press, 1971. [7] S. A. Kripke, "Semantical Analysis of Modal Logic I: Normal Modal Propositional Calculi," Zeitschrift für mathematische Logik und Grundlagen der Mathematik, vol. 9, pp. 67-96, 1963. doi: https://doi.org/10.1007/BF00568808. [8] J. Pearl, Causality: Models, Reasoning, and Inference, 2nd ed. Cambridge: Cambridge University Press, 2009. [9] G. Priest, R. Routley, and J. Norman, eds., Paraconsistent Logic: Essays on the Inconsistent. Munich: Philosophia Verlag, 1989. [10] R. A. Sorensen, A Brief History of the Paradox: Philosophy and the Labyrinths of the Mind. Oxford: Oxford University Press, 2005. [11] J. Woodward, Making Things Happen: A Theory of Causal Explanation. Oxford: Oxford University Press, 2003. doi: https://doi.org/10.1093/0195155270.001.0001. [12] L. A. Zadeh, "Fuzzy sets as a basis for a theory of possibility," Fuzzy Sets and Systems, vol. 1, no. 1, pp. 3-28, 1978. doi: https://doi.org/10.1016/0165-0114(78)90029-5. [13] Measurement in Science, The Stanford Encyclopedia of Philosophy. Substantive revision, 7 August 2020. Available at: https://plato.stanford.edu/entries/measurement-science/. Accessed 15 October 2026. [14] Possible Worlds, The Stanford Encyclopedia of Philosophy. Available at: https://plato.stanford.edu/entries/possible-worlds/. Accessed 15 October 2026. [15] Scientific Representation, The Stanford Encyclopedia of Philosophy. Substantive revision, 20 May 2026. Available at: https://plato.stanford.edu/entries/scientific-representation/. Accessed 15 October 2026.