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Competition Between Ze Systems

Jaba Tkemaladze

2026Longevity Horizon7 citationsDOIOpen Access PDF

Abstract

The Ze framework models any binary observation stream as a causal counter whose proper time is the Minkowski interval τ = √(T² − X²), where T = N_T + N_S counts total events and X = N_S counts state-change events. This paper addresses the multi-Ze scenario: what happens when two or more Ze systems co-exist, compete for causal dominance, and interact through adversarial mechanisms? We formalize τ-dominance (Ze_k dominates Ze_j iff τ_k > τ_j), identify two primary strategies—T-amplification (inserting redundant T-events) and S-injection (inserting random S-events into a rival)—and derive their quantitative effects. T-amplification by factor m+1 boosts τ proportionally, with ×10 amplification raising τ by a factor of 11.53. S-injection at rate r = 40% degrades the rival's τ by 10.9%. Game-theoretic analysis shows that symmetric mutual attack converges to a Nash equilibrium at v = 0.5 (maximum entropy), destroying τ for both parties—a causal Prisoner's Dilemma. For three or more Ze systems, a τ-dominance hierarchy emerges whose stability depends on pairwise velocity differences. We present falsifiable predictions and discuss the ontological interpretation: competing Ze systems generate distinguishable experiential realities, with the dominant system experiencing slower, richer time.

Topics & Concepts

Pairwise comparisonHierarchyMathematical economicsNash equilibriumCompetition (biology)MathematicsBinary numberStability (learning theory)Interval (graph theory)PreferenceEconomicsEconometricsOperator (biology)Ranking (information retrieval)Game theoryComputer scienceFalsifiabilityProbabilistic logicFactor (programming language)Complex systemEvent (particle physics)StatisticsOutcome (game theory)Causality (physics)Coin flippingDistributed systems and fault toleranceFormal Methods in VerificationGene Regulatory Network Analysis
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