Domains, Cooperation, and Economies

Domains of Determinism (Markets): Cooperation In Production of Complexity
(Markets, Networks of Sustainable Specialization and Trade)

(~1500 words)

  • Planes of Causality(Hierarchy of Disciplines, And Paradigm, Vocabulary, Logic, Grammar): The emergence of a minimum set or organizations of mass, their potential operations, potential recombinations, potential accumulations (paradigm(stable relations), vocabulary(mass, operations), agreements(=)) that results in a combination of energy, organization, information, into mass with potential opportunities for recombination that result in increases in either accumulation, or acquisition and work, that increases the defeat of time and by consequence increases the defeat of entropy.
    • Narrative: the operational framework within which mass, energy, and information systematically interact, recombine, and accumulate, adhering to the paradigms of stable relations. This framework is foundational to understanding how various entities—ranging from subatomic particles to societal constructs—organize and evolve. It is grounded in the principles of causality, where pressure induces processes that, in turn, necessitate the conservation of energy and enforce symmetrical forces, ensuring the integrity of components. Consequently, rationality emerges as a deterministic outcome of these interactions, providing a coherent and predictive basis for analyzing complex systems across disciplines. This operational approach identifies the minimal set of organizational patterns and potential recombinations that yield new, functional structures, thereby facilitating the accumulation of mass, energy, and potential within specific niches. Through this lens, the universe’s behavior is not only explicable but also predictable, governed by immutable laws that dictate the conditions for organizational complexity and transformation.
  • Cascades of Causality: Dynamics of Evolution and Organization:
    • Formation of Assemblies and Ensembles: Assemblies enable the emergence of ensembles, driven by the strategic accumulation and integration of mass, energy, and information. 
    • Reserves and Reservoirs of Opportunity: Reserves consist of one or more Reservoirs of Opportunity at the level of complexity, and limits of opportunity, over time.
      • Multiple Reservoirs: Each Reserve may offer more than one Reservoir, and defines the limits of opportunities in those Reservoir.
      • Limits of Opportunity: Each Reservoir defines the limits of opportunity for those assemblies in that Reservoir.
      • Hierarchy: The Properties of each Reservoir are defined by its Reserves
      • Stored Capital: These Reservoirs and Reserves constitute Stored Capital for use by the system.
      • Narrative: the dynamic process through which the organization of mass, energy, and information transitions across scales, from individual components to assemblies, and ultimately to ensembles. This process explains a system’s evolution, by the strategic integration of simpler units into progressively more complex structures, each with enhanced functionality and adaptive capacity.
        This process depends on the preservation of stable equilibria, where assemblies find balance within specific niches, only to be propelled into higher orders of complexity as they interact and integrate into ensembles.
        This hierarchical progression is not arbitrary but is driven by the direct causal relationships between entities and their environments, underscored by the principles of conservation and symmetry.
        Each step in the cascade—from the formation of assemblies to the emergence of ensembles—epitomizes a probabilistic yet predictable path of organizational evolution, characterized by the continuous exploration and exploitation of new opportunities for growth and adaptation.
        Within and across these scales, the universe unfolds as a tapestry of causal pathways, each contributing to the broader narrative of systemic evolution and complexity.
  • Adversarial Competition: the dynamic process in which entities (such as individuals, groups, organizations, or species) engage in opposing actions or strategies to achieve their respective goals, often at the expense of one another, using direct conflict or rivalry, where the success of one party typically implies a disadvantage or failure for the other(s).>

    Cross Disciplinary:
    In the context of unifying various scientific disciplines, adversarial competition can be understood across disciplines:
    • Biological Evolution: In evolutionary biology, adversarial competition occurs when species or individuals compete for limited resources, such as food, mates, or territory. Natural selection favors traits that enhance an organism’s ability to outcompete rivals, leading to evolutionary adaptations.
      • “In evolutionary biology, adversarial competition drives natural selection, as species adapt to outcompete their rivals for survival and reproduction.”
    • Behavioral Sciences: In the study of human behavior, adversarial competition manifests in social and economic contexts, where individuals or groups vie for status, power, or wealth. This competition shapes social structures, norms, and individual strategies for success.
      • “In economic markets, adversarial competition among firms leads to innovation, efficiency, and consumer benefits, although it can also result in monopolistic practices if unchecked.”
    • Formal Sciences: In fields such as game theory and economics, adversarial competition is modeled to analyze strategic interactions where participants’ gains and losses are interdependent. 
    • Legal Systems: In the context of law, adversarial competition is inherent in the adversarial legal system, where opposing parties (e.g., prosecution and defense) present their cases to an impartial judge or jury. This process aims to uncover the truth and achieve justice through structured conflict.
      • “The adversarial legal system relies on adversarial competition between opposing parties to ensure a fair trial and the discovery of truth.”
  • Economy of Causality: Recursion of Stable Relations between Stable Equilibria operating in adversarial competition in time, releases Pressure within the Reserve, resulting in Capitalization of Ensembles over time (Innovation), allowing Cascading out to the next Reserve.
    • Fungibility: Each Reservoir may contribute to the production of multiple outputs.
    • Narrative: The Economy of Causality explains how stable relations between entities, operating under adversarial competition in time, drive the systematic release of ambient pressure in reserves, culminating in the capitalization of ensembles.
      This economic model underscores a direct, causal mechanism where the interplay of forces within a niche— contingent upon deterministic laws of conservation and symmetry—produces the transformation of energy and information into increased organizational complexity and functionality.
      The essence of this economy lies in its operational efficiency: entities within the system exploit available resources, adhering to a probabilistic yet governed pathway towards innovation and adaptation.
      This process is inherently cyclical and scalable, ensuring that the accumulation of capital, both in terms of mass and potential, is a consequence of the entities’ capacity to navigate and manipulate their environment effectively.
      As such, the Economy of Causality defines the underlying structure of systemic growth, where the interaction between assemblies and their environment leads to the emergent properties and hierarchical organization observed in natural and artificial systems.
      Through this lens, the universe operates as a vast, interconnected network of causal transactions, where the potential for complexity and coherence is bound by the operational rules and potentials inherent in the system’s constituents.

THEREFORE

Summary;

  • |Organization into Hierarchy and Graph|: Resources > Component > Assembly > Ensemble > Pathways > Configuration > Planes of Causality (Disciplines, Paradigms, Grammars) > Cascades of Causality
  • Maximization of Opportunities: Discovery, Innovation, and Adaptation can occur at every opportunity for it – leading to the general rule that the universe can and will, over time, discover all opportunities possible within the limits of the paradigm that is possible under the conditions for the operation of that paradigm.
  • Growth: Across different disciplines, there exists a fundamental process of organization and transformation that enables the universe and its components to evolve, innovate, and resist the forces of entropy.
  • Scale Independence: This process explains the consistency within and between the various fields of study (Disciplines, Paradigms, Grammars) in uncovering and utilizing these foundational principles to understand and influence the progression of complexity, life, and behavior in the universe.
  • Systems of Inquiry(Processes of Discovery of the Grammar of Scale): Each scientific discipline investigates a unique system of phenomena, governed by its own set of rules and principles. Just as markets operate within defined parameters and structures, systems of inquiry explore specific aspects of the physical world through a structured, systematic approach. Each system of inquiry develops its own paradigm, vocabulary, logic, and grammar, enabling researchers to generate and communicate knowledge within that domain effectively.
  • Domains of Determinism (Disciplines, Paradigms, Grammars): Deterministic processes lead to predictable outcomes, akin to how market mechanisms predictably influence production and exchange in economics. Each domain of determinism, therefore, represents a specific area of the physical sciences dedicated to uncovering and explaining the deterministic laws that govern particular sets of phenomena.

 


 

Heading ( … )
(Economy) note: move up one to prev group

AND 
THEREFORE;

  • Recombination vs Evolution: Recombination occurs within planes of causality and Evolution occurs across planes of causality. (?)
  • Grammars (Logics, Disciplines): All Planes of Causality in the Hierarchy of Planes of Causality, consisting of paradigms, vocabulary, logic, and agreements, within each plane, and the resulting grammar that consists of the rules of continuous recursive disambiguation of reality into causal identity for use in reason, calculation and computation that we call ‘Grammars’.
  • Computation: Reason, calculation, and computation then consist of the rules of continuous recursive disambiguation (grammar) within the paradigm (possible dimensions, vocabulary, logic, agreements, and syntax) referencing the available objects, operations, and resulting persistence (agreement), or failures of persistence(disagreement), for each Plane of Causality in the Hierarchy of Planes of Causality (disciplines) we have yet discovered.
  • Economy: ( … )
  • Interdisciplinary Unification: Detail how principles from different disciplines (e.g., physics, chemistry, biology, computer science) can be unified or mapped onto each other within your framework could enhance understanding and applicability. Highlighting specific examples or case studies where your framework offers novel insights across disciplines could be valuable.

KNOWN UNKNOWNS  (move this?)

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( … )

  • Scale of the Universe: Time or Timeless, Infinite or Finite, and Multiple or Single Universe:
  • Given that as far as we know:
    • For persistence to occur, both disequilibrium and equilibrium must exist and persist.
    • We find no evidence of or the possibility of existential infinities.
    • We find no evidence or the possibility of timelessness.
    • Humans tend toward errors of anthropomorphic bias.
  • Therefore:
    • The most likely condition given these priors is multiple concurrent universes creating permanent disequilibria.

( … ) Summary

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