From Movable Type to Machine Reasoning: Media, Artificial Intelligence, and the Transformation of Bounded Cognition
Abstract
This article advances an architectural account of media change, arguing that major media technologies are best understood as external cognitive scaffolds that reconfigure the conditions under which bounded human cognition operates. Rather than treating media primarily as accelerators of communication or expanders of information access, the analysis shows that different technologies transform distinct cognitive bottlenecks—memory, coordination, and transmission—while leaving the serial, capacity-bound structure of deliberative reasoning intact. Movable type and later electronic media stabilised representations and accelerated coordination, but, given fixed architectural constraints, could not alter the internal economy of reasoning itself. Against this contrast class, the article argues that contemporary artificial intelligence constitutes a categorical discontinuity. Unlike earlier media, AI systems intervene within the reasoning process by restructuring the cost, ordering, and accessibility of representational operations during deliberation. By compressing complex information, expanding counterfactual exploration, supporting long-horizon simulation, and decoupling revision from biological throughput limits, AI alters which forms of reasoning are practically feasible under bounded cognition. The article introduces a functional typology distinguishing cognitive scaffolds, cognitive crutches, and cognitive substitutes, and identifies revisability—not as a general epistemic virtue but as a scarce architectural achievement—as the central criterion of legitimate cognitive augmentation.
Keywords
- media theory
- bounded cognition
- infrastructure
- AI governance
- revisability
- decision-making
- design