SOURCE-LINKED INTELLIGENCE
The Culture of Algorithmic Models: Advancing the Historical Epistemology of Artificial Intelligence
The Culture of Algorithmic Models: Advancing the Historical Epistemology of Artificial Intelligence The project proposes an alternative epistemology of artificial intelligence (AI). It argues that what is at stake in AI is not its similarity to human rationality (anthropomorphism), but its epistemic difference. Rather than speculating in the abstract on whether a machine can think, the project addresses a historical question: What is the logical and technical form of the current paradigm of AI, machine learning, and what is its origin? The project traces the origins of machine learning back to the invention of algorithmic modelling (more precisely, algorithmic statistical modelling) that took shape in the artificial neural networks research of the mid 1950s, and records that a coherent history and epistemology of this groundbreaking artefact is still missing. The project pursues three objectives to turn its findings into a constructive paradigm: 1) a new history
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1927573
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.