# Contested concept: reasoning

_**What you are reading**: one contested-concept page in Deliberus's deliberation graph. Deliberus maps human reasoning — including claims that are contested, mistaken, or extreme — so that disagreement can be examined precisely. A claim's presence here is not an endorsement: the graph records that someone argued it, how it connects to other reasoning, and how far scrutiny has gotten. The metadata on this page describes the state of that scrutiny, not the truth of the claim._

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- **Contestedness**: criterion
- **Diagnosis**: This contestation masks a deeper disagreement about whether 'cognition' is defined by what a system does (outputs) or how a system is built (internal symbolic logic).
- **Canonical**: `/concept/reasoning` (data: `/concept/reasoning.json`)

## Senses in use
- **The ability to perform domain-general inferences and integrate diverse information to solve tasks (Functional/Performance-based).** — used in 5 claim(s)
- **A cognitive process necessitating a pre-existing, innate symbolic internal representation system (Structural/Architectural-based).** — used in 1 claim(s)

## Claims using this term
- [Recent developments in artificial intelligence, termed the 'Great AI Experiment' by Daniel Rothschild, demonstrate that natural language se…](/claim/claim_01f4d14173ee.md) _(sense: The ability to perform domain-general inferences and integrate diverse information to solve tasks (Functional/Performance-based).)_
- [Jerry Fodor (1975) dismissed the possibility that a cognitive system could learn to reason with natural language without first possessing a…](/claim/claim_14aa985a8395.md) _(sense: A cognitive process necessitating a pre-existing, innate symbolic internal representation system (Structural/Architectural-based).)_
- [Large Language Models (LLMs) represent a significant advancement in artificial intelligence capabilities regarding common sense and general…](/claim/claim_36b06d1420e4.md) _(sense: The ability to perform domain-general inferences and integrate diverse information to solve tasks (Functional/Performance-based).)_
- [Large Language Models (LLMs) are effective reasoners because the compression inherent in natural language as a medium makes the computation…](/claim/claim_4284f4477222.md) _(sense: The ability to perform domain-general inferences and integrate diverse information to solve tasks (Functional/Performance-based).)_
- [Large language models (LLMs) exhibit powerful domain-general reasoning, showing the ability to integrate information and make inferences ac…](/claim/claim_870e02e2c1b0.md) _(sense: The ability to perform domain-general inferences and integrate diverse information to solve tasks (Functional/Performance-based).)_
- [Large Language Models (LLMs) serve as a possibility proof that a computational system can learn to reason using natural language without po…](/claim/claim_c1889f767888.md) _(sense: The ability to perform domain-general inferences and integrate diverse information to solve tasks (Functional/Performance-based).)_