The State-Space Selection Theory of Consciousness (SSSTC)

This paper presents a dynamical systems theory of consciousness in which conscious experience arises when the operating mind stabilizes a configuration within a structured state-space of possible experiential patterns. The mind is modeled as a non-autonomous dynamical system evolving over a stability landscape parameterized by sensory inputs and baseline system variables. Candidate experiential configurations correspond to attractor basins within this landscape. Conscious experience occurs when the evolving system configuration enters and remains within a basin of attraction continuously for sufficient dwell time to satisfy a stabilization criterion. The theory formalizes the generative mechanism of conscious episodes as a process of selection and stabilization among competing attractor configurations under stochastic dynamics. Conceptual cessation, unconscious states, and system shutdown are distinguished within the same dynamical framework. The model proposes that conscious experience corresponds to stabilized configurations of the operating mind and requires no additional ontological primitives within the scope of the present dynamical framework. The nature of consciousness remains one of the most persistent problems in philosophy and cognitive science. Many contemporary approaches treat consciousness either as an emergent property of neural computation or as a fundamental feature of reality. This paper develops an alternative framework: consciousness occurs when an operating mind stabilizes a configuration within its dynamical state-space for sufficient dwell time. The theory integrates three core ideas: 1. Consciousness depends on the operation of an organized mind. 2. Experience corresponds to structured patterns within a state-space of possible configurations. 3. Conscious episodes occur when one such configuration stabilizes under system dynamics. Within this framework, conscious experience corresponds to stabilized configurations of the dynamical system itself rather than an additional property produced by neural activity.