Dist Babble

 The core idea is that subjective experience emerges from the complex interplay between contextual information and the flow of time across multiple scales. It challenges reductive or overly simplified views by proposing a rich, interdependent framework. Firstly, we represent subjective experience (SE) as a function that maps contextual information (C) and temporality (T) onto a manifold of experienced subjective states: SE = f(C, T) The contextual information matrix (C) encodes diverse factors like sensory inputs, memories, cognitive models, environmental stimuli etc. It's a high-dimensional tapestry: C = [c1, c2, c3, ...cn] However, rather than treating time (T) as a simple linear parameter, the model incorporates the key insight that different temporal scales and moments contribute variously to shaping experience. This is achieved via a time weighting function w(T) that dynamically weights the influence of each time point. The evolution of SE then becomes: dSE/dT = f(C(T), w(T)) ...

 Temporal Flow Physics: A New Perspective on Reality At the heart of this model is the concept of temporal flow, represented by τ(t). This isn't just time as we typically understand it, but rather a measure of the intensity and nature of interactions within the present state. The rate at which this temporal flow changes, given by τ̇(t) = dτ(t)/dt, provides insight into the dynamics of time itself. In this framework, space isn't a separate entity but emerges from temporal interactions. The equation S(t) = ∫ τ(t) dt expresses how space accumulates from temporal flow over time. This radical idea suggests that what we perceive as space is fundamentally woven from threads of time. Energy, too, is intimately linked to temporal flow. The equation E(t) = k · τ(t)^2 proposes that energy is proportional to the square of temporal flow intensity. This connection between energy and time offers a new perspective on the nature of energy itself. The model extends into quantum mechanics, re...

 McTaggart's Critique The Past as a Construct: In my model, the past is not an actual, existent part of reality. Instead, it is a construct or reconstruction based on current values and dynamics. This aligns with a critique of the A-series because it denies the actual existence of past events as entities. Instead, what we consider the past is merely our interpretation or memory of how time has unfolded based on current physical states. Dynamic Interactions as Present Reality: My model suggests that only the present interactions and dynamics are real. The current values and interactions determine the state of the system, and these are the only realities. This could be seen as focusing on a dynamic present, somewhat bridging the gap between the A-series' dynamic nature and the B-series' fixed relations. Sequence and Temporal Relations: The sequence of events and their relations (earlier than, later than) are understood in My model as dependent on the current state and its dyn...

 Whitehead's Critique Reduction of Time Whitehead critiqued the notion of reducing time to discrete, measurable units, as it overlooks the continuous nature and interconnectedness of temporal events. Organic Nature of Time: He advocated for an understanding of time that considers it as a continuous, flowing process, where events are interrelated and cannot be fully understood in isolation. Analysis of my Model Discrete Measurements: Similar to Whitehead's critique, my model uses discrete values for temporal flows and decay probabilities, which could be seen as a reductionist approach. Dynamic Interactions: However, my model goes beyond simple reductionism by incorporating dynamic interactions between these discrete values. This aligns with Whitehead's idea of the interconnectedness of events. Flow of Temporal Values: The concept of temporal flow in my model resonates with Whitehead's view of time as a continuous process. By considering how values evolve and interact ove...

 Bergson's Critique of time measurement Analysis of My Model Discrete Measurements: My model indeed uses discrete measurements (temporal flow values, decay probabilities, etc.), aligning with Bergson's idea of spatialized time. Continuous Flow: However, my model also considers the continuous flow of temporal values and their dynamic interactions, which is more in line with Bergson's concept of duration. Inverse of Bergson's Concept? In a way, my model does present an interesting inversion of Bergson's idea: Spatialized Time in Physics: Traditional physics often uses spatialized time (e.g., time intervals, points on a timeline) for its calculations and predictions. my model also employs discrete values but integrates them within a larger framework that considers the continuous, dynamic flow of temporal values. Bridging the Gap: By incorporating dynamic, continuous interactions within a framework of discrete measurements, my model aims to bridge the gap between the qu...

 Entropy Let's break down my model's definition of entropy step by step, examining each component and how they contribute to the overall concept of entropy in a temporal physics framework. Basic Flow Difference: |vi - vj| This is the fundamental unit of this entropy model. It represents the absolute difference between flow values of two particles or points in the system. This difference is crucial as it captures the asymmetries or inhomogeneities in the system, which are at the core of my entropy concept. Spatial Interaction Entropy: Espatial = Σ(i,j) |vi - vj| · [1 / (|pi - pj| + ε)] This term combines the flow difference with spatial relationships. Here's how it works: |vi - vj| measures the flow difference 1 / (|pi - pj| + ε) is the interaction strength, decreasing with distance ε prevents division by zero for very close particles This term is higher when there are large flow differences between nearby particles, indicating higher spatial entropy or disorder. Temporal In...

 A sense of Temporal Physics. My equation ∇2Φ−1cΦ2∂2Φ∂t2=ρΦ can be interpreted as describing the dynamics of discrete flows. The Φ term represents the aggregate of these flows, while ρΦ represents the "density" of temporal flow points in a given region of spacetime. The cΦ term is related to how quickly these discrete flows can change or propagate. The quantization equation Φ(t)=∫dk2π3[a(k)e−ikx+iωt+a†(k)eikx−iωt]12ω could now be seen as describing how these discrete flow points combine to form observable temporal phenomena. The creation (a†) and annihilation (a) operators could be interpreted as adding or removing discrete flow points, effectively changing the local rate of time. In the Hamiltonian H=∫dk ℏω(k)(a†(k)a(k)+12), the energy of the system could be directly related to the number and direction of discrete flow points. Positive flows might contribute positively to the energy, while negative flows could potentially contribute negatively, allowing for interesting energ...