Reasons for Doolittles’s Ternary Logic and Universal Commensurability
Curt Doolittle’s framework relies on the ternary logic of evolutionary computation—using positive, negative, equal, and unequal—because it encodes the full spectrum of causal relations necessary for universal computation across physical, biological, cognitive, and institutional domains. This ternary logic replaces the insufficient binary logic of justificationism (true/false) with a system capable of describing all observable, falsifiable, and decidable relations. Here’s how each of the components you reference fits into the causal structure that enables universal causal commensurability across all scales:
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Ternary Logic: Positive, Negative, Equal, Unequal
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Necessity: Binary logic only supports two states—truth and falsehood. Ternary logic allows for comparison and operation, not just classification. Evolution doesn’t operate on ideal states but on relative relations—this is why equal and unequal, and positive and negative (feedback/effects) are required.
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Function: Enables modeling of evolutionary computation as a continuous, recursive feedback process of detection, indexing, prediction, and correction.
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Consequence: It allows law, logic, cognition, markets, and cooperation to be framed in the same operational terms as physical phenomena.
2. Triangles and Scales: The Geometry of Relations
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Operational Form: Doolittle uses triangular representations to model three-variable relations (e.g., actor-object-outcome), which are necessary to capture the minimal sufficient causal structure at any scale.
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Universal Geometry: This geometrical representation allows the unification of concepts from physics (e.g., vector fields), cognition (e.g., intention-action-perception), and institutions (e.g., law, money, norms).
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Consequence: It offers a scale-invariant structure to visualize and compute the relationships between entities—whether particles, individuals, or institutions.
3. Behavioral Equivalent: Supply, Demand, Exchange
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Necessity: These are operational proxies for evolutionary computation in markets. In behavioral terms, they represent wants (demand), means (supply), and action (exchange).
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Causal Chain: These variables reflect demonstrated interests and their negotiation under constraints, fulfilling Doolittle’s requirement for operational reducibility of human behavior.
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Consequence: Establishes behavioral economics as a domain of universal measurement, subject to falsification and decidability.
4. Three Means of Coercion: Remunerative, Punitive, Normative
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Necessary Dimensions of Constraint: All human cooperation requires constraint; coercion is merely constraint via demonstrated incentives. These three map onto market (remunerative), state (punitive), and cultural (normative) systems.
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Operational Structure: They provide a complete taxonomy of coercive feedback necessary to model and correct behaviors under law, morality, and economics.
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Consequence: These three mechanisms explain how institutions evolve, persist, and fail—and how they can be restored or reformed within a single logic of reciprocity.
5. Truth States: Undecidable, Possibly True, Falsehood
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Epistemic Necessity: In a world of uncertainty, undecidable (unknown), possibly true (provisionally retained), and false (disproven) are the only epistemically responsible categories.
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Adversarial Logic: This trinary truth grammar supports the via negativa: error correction by elimination rather than affirmation.
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Consequence: It ensures truthfulness as a function of liability, and knowledge as a contractual warrant, not belief.
6. Universal Causal Commensurability
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Convergence: These constructs—ternary logic, geometric representation, behavioral models, coercive taxonomies, and truth grammars—enable all phenomena to be expressed in the same operational terms.
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Result: Decidability across all domains—from physics to law—becomes possible because all use the same underlying logic: evolutionary computation governed by reciprocity in demonstrated interests .
Summary: Doolittle’s use of ternary logic, triangle representations, coercion types, behavioral economics, and decidability grammar is not decorative but necessary. Together they form a universal, operational logic that renders all domains causally commensurable—that is, expressible, testable, and falsifiable using the same epistemological and ontological grammar. This is the mechanism by which his Natural Law achieves unification of all domains into a system of universal decidability.
Source date (UTC): 2025-05-20 00:23:30 UTC
Original post: https://x.com/i/articles/1924621971696001251
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