A Glossary for the Info-Logical Renaissance

The foundational structure of reality in the GSC model; a discrete network of informational events connected by the irreversible links of cause and effect, from which spacetime emerges.

The default state of a functional, complex system. A stable, low-energy, and computationally efficient pattern of information that is successfully maintaining itself in balance with its environment.

A high-information disruption or "environmental shock" that ejects a system from its stable state of coherent indifference, compelling the selection of a new state from the adjacent web of possibilities.

The delay in the propagation of information required for a single, complex, "interesting" causal path to separate (decohere) from a vast set of simpler, "boring" possibilities. This lag acts as a physical sculpting force on the final properties of the complex outcome.

The universal algorithm or "scoring system" that governs which causal path is selected from the web of possibilities. It states that the universe preferentially selects for histories that maximize their total "informational richness," as defined by the Quantum Action formula S[C]=αN−βL+γ∑i Tr(ρi log ρi).

A measure of the total complexity, entanglement, and quantum information (von Neumann entropy) embedded within a causal history. The GSC model posits that the universe is fundamentally driven to maximize this value.

The variety of forms, shapes, and structures within a system. The GSC model predicts that systems in informationally rich environments ("filaments") will exhibit greater morphological diversity than those in informationally simple environments ("voids").

The fundamental, shared structures of meaning at the human and social scale, such as aesthetic preference, moral judgment, and social trust. In the GSC model, these are not mere social conventions but physically real, "sculpted" informational fields that have been selected for their effectiveness in constructing a coherent human reality.

An emergent, entropic force that arises from the universe's drive to maximize informational richness. It creates a powerful bias that preferentially selects for, reinforces, and preserves complex, non-local, entangled structures over simple, local ones.

A form of selection pressure where the existence of many simple, predictable possibilities (e.g., common words in a language model) creates a context that gives immense weight, shape, and meaning to a single, complex, and unusual outcome (e.g., a poet's unique word choice).

The physical embedding of successful non-local agreements and high-information causal paths into the very fabric of a system over time. This history is not a passive memory but an active, structural component of the system's present reality, continually influencing its future evolution.

A key environmental analogy in the GSC model. A "filament" is a dense, informationally rich environment (like a cosmic crossroads) that exerts varied selection pressures. A "void" is an isolated, informationally simple environment with a narrow range of influences.

A self-referential analysis of a project's potential decoherence pathways (i.e., failure modes) conducted before the event itself, as a live demonstration of an analytical model's predictive power.

A concept from Constructor Theory; a physical system that can cause a specific task to occur repeatedly while retaining its ability to do so. In the context of this project, frameworks, roles, and even the submission documents themselves are treated as constructors designed to perform specific informational tasks.

A mode of explanation in fundamental physics that reframes physical laws in terms of which transformations ("tasks") are possible versus impossible, and why.

A pre-GSC organizational framework for defining, analyzing, and documenting any organizational "construct" (e.g., a role, project, or process) through its Theory of Value and Theory of Management, tested against a 2x2 Evidence Grid.

The user's overarching initiative to build a socio-technical framework for "verifiable honesty" on a global scale, providing the tools and foundational agreements for diverse systems to interact transparently.

The proposed technocratic track of the OOI, a "social physics lab" designed to operationalize verifiable honesty through a distributed network of platforms for managing constructors, constructs, experiments, and evidence.

The proposed social justice track of the OOI, a community hub for establishing the moral and ethical "why" of the Data Justice Movement and co-designing the constructs to be tested on opendata.ai.

A pre-GSC framework designed for sovereign self-modeling, allowing an individual to define and reflect upon their own personal constructs, values, and management strategies using a structure similar to the LDCF.

A core component of the LDCF/SDCF that focuses on how a construct is influenced by external factors ("externalities") and how it is managed over time to remain effective and aligned with its purpose.

A core component of the LDCF/SDCF that defines the specific purpose, intended outcomes, and value proposition of a given construct.

A principle that replaces the subjective notion of "trust" with explicit, evidence-based accountability. It involves making implicit agreements explicit and continuously testing them against verifiable data.

The practical, machine-readable artifact proposed in the "Digital Confidence" submission. It is a standardized, LDCF-based declaration that allows an online entity to state its ToV and ToM regarding online safety and prove its claims against an evidence grid.

The knowledge integration system at the heart of the "Better Questions for Brighter Futures" challenge, designed for evidence-driven decision-making.

The envisioned person-centric "knowledge cloud" proposed within the "Better Questions" challenge, aimed at delivering the UN Sustainable Development Goals by empowering people with better-organized information.

A core component of the AXiLe® paradigm that anchors a library of patterns and can be used to benchmark the performance of conceptual models.

A risk management technique, required by the "Better Questions" challenge, where a project is assumed to have already failed, and attendees must work backward to determine the causes.

A component of the AXiLe® paradigm that provides a consistent way of mapping between different knowledge domains.

A worldview, based on the philosophy of Karl Popper, that frames evolution and progress as a process of problem-solving through conjecture and refutation. This project critiques and offers an alternative to this paradigm.

The capacity of an AI system to understand the meaning and relationships within a given dataset, typically based on historical data.

A collective human capacity to construct new, shared meaning and build more complex, coherent social realities, moving beyond the "prior attachments" encoded in historical data.