Back over subjectivity again..

 Deterministic Aspects

1. Core Equation:

   * SE=f(C,T)SE = f(C, T)SE=f(C,T)

   * This implies that subjective experience (SE) is a deterministic function of context (C) and time (T). Given complete information about C and T, SE could be determined.

2. Evolution Equation:

   * dSEdT=f(C(T),w(T))\frac{dSE}{dT} = f(C(T), w(T))dTdSE=f(C(T),w(T))

   * This differential equation suggests that the change in subjective experience over time is determined by the context and the time weighting function. Knowing the initial conditions and the functions involved, the trajectory of SESESE could be predicted.

Indeterministic Aspects

1. Time Weighting Function:

   * w(T)=h(C(T),T)w(T) = h(C(T), T)w(T)=h(C(T),T)

   * The interdependence between context and time weighting introduces complexity. This complexity can lead to chaotic behavior, where small changes in initial conditions result in vastly different outcomes.

2. Acknowledgment of Complexity:

   * The model avoids anthropocentric assumptions and embraces the complexity of subjective experiences, acknowledging that the high-dimensional nature of context makes complete prediction challenging.

3. Potential for Genuine Indeterminism:

My model of subjectivity retains an open embrace of indeterministic qualities, modeling subjective experience through stochastic and chaotic processes that defy complete reductive prediction. This suggests that, at certain levels, the system may exhibit true indeterminism.

Synthesis

My model effectively occupies a middle ground, acknowledging both deterministic processes and the emergent, potentially indeterministic behavior that arises from their complexity.

1. Deterministic Foundation:

   * The underlying processes are deterministic, governed by the equations SE=f(C,T)SE = f(C, T)SE=f(C,T) and dSEdT=f(C(T),w(T))\frac{dSE}{dT} = f(C(T), w(T))dTdSE​=f(C(T),w(T)).

2. Emergent Complexity:

   * The complexity and interdependence of context and time weighting function create a system that is practically unpredictable. This unpredictability can be attributed to the chaotic nature of the system, where small changes in initial conditions lead to significant variations in outcomes.

3. High-Dimensional Context:

   * The high-dimensional nature of the context matrix C=[c1,c2,c3,...cn] further complicates the prediction of subjective experience, making complete determination extremely challenging.

Practical Implications

1. Complexity and Chaos:

   * Even if the underlying processes are deterministic, the complexity and potential chaotic behavior make subjective experience appear indeterministic.

2. Emergent Phenomena:

   * This aligns with concepts in complexity theory, where simple deterministic rules give rise to complex, unpredictable behavior at higher levels of organization.