Black Walls: Intelligence at the Edge of Time
Zenodo (CERN European Organization for Nuclear Research) July 6, 2026 DOI: 10.5281/zenodo.21218778 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractIntelligence requires ordered, causally connected change over time. This paper constructs two minimal models of intelligence—one from philosophy of mind and cognitive science, another from complex adaptive systems—and subjects them to a thought experiment where fundamental temporal properties are removed. When all change is impossible, every component of intelligence collapses. When change occurs but states are completely uncorrelated, information processing, learning, and goal-directedness dissolve. The analysis shows that within current consensus models, operational temporality—ordered, causally connected state transformation—is a necessary condition for intelligence. The conclusion is conditional, not a claim of metaphysical necessity across all possible worlds.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Temporality Edge of chaos Perspective graphical Construct python library Qualia |
| Key finding | Argues that intelligence cannot survive the disappearance of ordered, causally connected state transformation, which the authors term 'operational temporality', within the conceptual space defined by current consensus models. |
Abstract
Time is typically treated as an unexamined background for intelligence. This paper inverts that perspective by asking what becomes of intelligence when the conditions that enable intelligent processes are progressively stripped away. We construct two minimal models of intelligence—a functional model derived from philosophy of mind, artificial intelligence, and cognitive science, and an abstract physical model drawn from complex adaptive systems—and subject them to a philosophical thought experiment involving "Black Walls": conceptual boundaries beyond which fundamental temporal properties (ordered change, structured state transitions, and causal continuity) no longer obtain. In Case I, where all change is impossible, every component of intelligence collapses. In Case II, where change occurs but states are completely uncorrelated, information processing, learning, and goal-directedness dissolve. The analysis demonstrates that, given our current consensus models, intelligence cannot survive the disappearance of ordered, causally connected state transformation—what we term operational temporality. The conclusion is conditional: we do not claim a metaphysical necessity across all possible worlds, but establish that within the conceptual space defined by our best models, temporality is a necessary condition. We close by opening speculative questions about radically atemporal, non-sequential, or post-algorithmic conceptions of intelligence as conceptual directions rather than established theories.