Published October 1, 2025 | Version v3
Working paper Open

Imagination as General Intelligence: Reconciling Consciousness and Free Will with Modern Physics

Authors/Creators

Description

Version 3.0 — Qualia Reframed: This update clarifies Section 7.1 by addressing the “Hard Problem of Consciousness.” Qualia are reframed as functional data formats — integrated, value-tagged summaries that allow rapid comparison of predicted timelines. This dissolves qualia as a philosophical impasse and grounds the framework in testable, evolutionary, and computational mechanisms.

This white paper introduces the Predictive Timeline Simulation (PTS) Framework, a model that reframes consciousness as an evolved predictive simulation engine. Drawing on neuroscience, predictive processing, and the Block Universe model of spacetime, it offers a functional, testable account of consciousness without resorting to mysticism.

The framework has implications across multiple domains:

  • Philosophy: Proposes an evolutionary role for qualia, treating them as a data format for navigating a deterministic universe.

  • Neuroscience: Models how the brain’s “common core network” and predictive systems create a workspace for simulating and evaluating future timelines.

  • Clinical Science: Introduces the Simulation Misfiling Hypothesis, suggesting schizophrenia may result from a breakdown in executive control over this simulation process, with implications for early detection and intervention.

  • Artificial Intelligence: Outlines a blueprint for Artificial General Intelligence (AGI) grounded in imagination — the ability to simulate novel futures as the true engine of general intelligence.

Grounded in physics and evolution, this paper presents a unified, testable framework with clear implications for philosophy, neuroscience, clinical science, and AI research, supported by a robust multidisciplinary bibliography.

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Dates

Submitted
2025-09-12
Submitted version of white paper for public access
Available
2025-09-12
ubmitted version of white paper for public access