Timothy Speed (2025)
Modern cognitive and intelligence research operates with an implicit misunderstanding: it treats intelligence as a primary, objective, and context-independent property of subjects, while presupposing as given the possibility space within which intelligence is measured and compared. This paper intervenes prior to that space: not at the level of performance within stable conditions, but at the level of the question of how such conditions are ontologically and epistemically stabilized in the first place.
The paper develops a counter-model in which emergence is introduced as a fundamental epistemic variable. Emergence is not understood as a gradual increase in performance, but as a threshold phenomenon that occurs when predictive simulation is no longer sufficient to sustain world-relation. Emergence is always operator-relative and socially situated; within this framework, intelligence appears as a secondary stabilizing performance.
On this basis, autism is re-read not as a deficit or cognitive style, but as an epistemic configuration in which emergence becomes more likely while at the same time being structurally blockable. Without emergence, intelligence remains simulation; with emergence, intelligence becomes possible—but conflictual, costly, and socially risky.
The argument developed here does not begin with cognitive performances within given conditions, but with the question of how such conditions are produced at all. Classical intelligence measurements operate within deliberately constructed spaces: temporally emptied, socially isolated, affectively neutralized, and normatively pre-structured. The so-called “white room” of the intelligence test is not a neutral background, but the result of a spatial operation that first reduces world in order to produce comparability. Within this framework, intelligence measures adaptability to an already stabilized possibility space. The stabilization of this space itself remains invisible—and it is precisely here that this paper intervenes.
This paper functions as an interface text within a larger operator-based research corpus. Core concepts are applied here, not re-derived. The underlying research operates in a non-linear, rhythmically recursive epistemic mode grounded in an autistic form of structural perception; the present text provides an interface translation for academic contexts.
DOI: https://doi.org/10.5281/zenodo.18068128
Keywords: Emergence, Intelligence theory, Epistemic operator, Possibility space, Simulation, World-relation, Predictive Processing, Bayesian Brain, Epistemology of cognition, Ontological stability, Threshold phenomena, Autism (epistemic configuration), Veridical mapping, Neurodivergent cognition, Autism, Artificial intelligence, Machine intelligence, Simulation-based systems, Artificial cognition, Non-emergent intelligence, Intelligence without emergence, Algorithmic simulation
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