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…
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Topics
Keywords
- Pairwise comparison
- Hierarchy
- Nash equilibrium
- Competition (biology)
- Binary number
- Stability (learning theory)
- Interval (graph theory)
- Preference
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