Dist Babble

 Defining Subjective Experience, Let's represent subjective experience as a function SE that maps contextual information and temporality to a manifold of subjective states: SE = f(C, T) Where: C = Contextual information matrix (more on this below) T = Temporal variable representing the scale/duration Contextual Information Matrix (C): This could be represented as a multi-dimensional tensor encoding various contextual factors like sensory inputs, memory, cognitive models, environmental stimuli etc. C = [c1, c2, c3,...,cn] Where c1, c2, etc are different contextual elements from the physical, cognitive, social, cultural realms etc. Introducing a temporal weighting factor to the matrix components: C(t) = [c1(t), c2(t), ...cn(t)] Where ci(t) captures how the strength of each contextual factor evolves over time based on its revisitation history. Having a recursive updating rule: C(t+1) = f(C(t), processing_dynamics)Showing how the current context matrix C(t+1) is a function of the previ...

 To be NPC or not to be, that is the question. I'll use my model of paradox to approach the question of distinguishing between a player (conscious being) and an NPC. Focusing on the concepts of context, information systems, and how these might be used to understand consciousness and self-awareness. Paradox and Context in Information Systems A. Understanding Paradox Definition: A paradox, occurs when two systems (S1 and S2) are unequal in information, leading to a discrepancy or contradiction. Contextual Dependence: The level of a system can be measured by its context. If the contexts (c1 and c2) are equal, the systems are comparable, and no paradox exists. B. Contextual Frameworks Contextual Information: The context includes the background information, assumptions, and framework within which a system operates. It shapes the meaning and interpretation of the system's information. Equality of Context: When two systems operate within the same context and have equal contextual info...

Forces and Mass in Temporal Physics In this model, the fundamental building blocks of reality are "temporal elements" Ei that exist at each instance of time t. These are discrete entities that make up the fabric of time itself. Each temporal element Ei carries a "temporal flow" property vi(t) that can take values of either +1 or -1 at any given time t. A value of vi(t) = +1 represents a positive temporal flow, indicating an increase or strengthening of the inherent "temporal attributes" like density, flux, energy and information content associated with that element at time t. Conversely, vi(t) = -1 corresponds to a negative temporal flow, signifying a decrease or weakening of these attributes. The temporal attributes themselves - density D(t), flux F(t), energy E(t) and information I(t) - are proposed as fundamental quantities that characterize the state of the temporal fabric at each instance. For example, density D(t) represents the concentration of temp...

 Coupled interactions and vector-like dynamics within the Independent Asymmetrical Determinate Systems (IADS) subsets of this cellular automaton system: Symmetrical Determinate System (SDS): A one-dimensional array of points P = {p1, p2, ..., pn} Each point pi has a scalar value vi Uniform rules apply across the SDS Independent Asymmetrical Determinate Systems (IADS): Subsets Pk ⊂ P, each governed by a rate ri These subsets exhibit coupled interactions as ri increases Limits and Rates: Limit L: A constant parameter that restricts the maximum range of value transfer Rate ri: A variable parameter that determines the influence of neighboring points within an IADS subset Coupled Dynamics: For a point pi within an IADS governed by rate ri: When ri = 1: vi(t+1) = vi(t) + f(vi(t)) The value at pi depends only on its current value When ri > 1: vi(t+1) = vi(t) + Σ(j=-L to L) wij * f(vi+j(t)) wij represents the weight/influence of neighboring point pi+j on pi f(vi+j(t)) describes the cont...

 Detailed Explanations: Carlo Rovelli (Loop Quantum Gravity) Quote: "Time is not an inexorably flowing continuum: it is a form of approximation for the complicated way things happen." Response: Alignment: My model agrees with Rovelli’s view by treating time as dynamic and composed of fluctuations and interactions, rather than a uniform flow. Additional Detail: My model goes further by quantifying these temporal fluctuations and showing how they directly influence the emergence of spatial dimensions and gravitational phenomena. This dynamic approach offers a specific mechanism for how temporal interactions lead to the observable structure of space. Julian Barbour (Timeless Physics) Quote: "The time we treat as physical really just arises from motions and changes." Response: Alignment: My model supports Barbour's assertion by proposing that time’s essence lies in dynamic changes and interactions. Additional Detail: While Barbour emphasizes the emergent nature of t...

My model of temporal physics, proposing that gravity emerges from temporal interactions and fluctuations offers a perspective of the relationship between time, space, and gravity. Here are some points of validity and connections to existing theories and figures in physics: Potential Validity and Connections: Temporal Dynamics and Emergence: Quantum Gravity Theories: Some approaches to quantum gravity, such as Loop Quantum Gravity, explore the discrete nature of spacetime. The idea that space emerges from temporal dynamics aligns with these theories, suggesting that spacetime may not be a continuous fabric but a construct emerging from more fundamental elements. Causal Set Theory: This theory posits that spacetime is a discrete set of events connected causally. My model’s emphasis on temporal interactions could fit within this framework, where temporal fluctuations contribute to the emergent structure of space. Symmetry Breaking: Higgs Mechanism: The concept of symmetry breaking is cent...

 In my model, I propose a fundamentally different perspective on the nature of time, space, gravity, and their interrelationships. Instead of treating time as a separate entity from space, I conceptualize time as a vector space – a flow with both rate and direction. Mathematically, we can represent time as a vector, with its magnitude corresponding to the rate of flow, and its direction indicating the positive or negative sense of the temporal dimension. Just as vectors in a vector space can have different orientations, the flow of time in my model can have a positive or negative direction. The dynamics and interactions of these temporal vector flows are governed by a set of equations that diverge from the conventional treatment of time in physics. For instance, the equation: δO(t) = O(t) - ⟨O⟩ captures the fluctuations or deviations of an observable quantity O(t) from its average value ⟨O⟩, indicating that time is not uniform but exhibits intrinsic variations. These temporal fluct...