Evidence from Formal Logical Reasoning Reveals that the Language of Thought is not Natural Language
Kean, H.; Fung, A.; Jaggers, P.; Chen, J.; Rule, J. S.; Benn, Y.; Tenenbaum, J. B.; Piantadosi, S. T.; Varley, R. A.
Show abstract
Humans are endowed with a powerful capacity for both inductive and deductive logical thought: we easily form generalizations based on a few examples and draw conclusions from known premises. Humans also arguably have the most sophisticated communication system in the animal kingdom: natural language allows us to express complex and structured meanings. Some have therefore argued for a tight relationship between complex thought and language, postulating that reasoning, including logical reasoning, relies on linguistic representations. We systematically investigated the relationship between logical reasoning and language using two complementary approaches. First, we used non-invasive brain imaging (fMRI) to examine neural activity as healthy adults engaged in inductive and deductive logical reasoning tasks. And second, we behaviorally evaluated logical abilities in individuals with extensive lesions to the language brain areas and consequent severe linguistic impairment. Our findings reveal that the language brain network is not engaged during logical reasoning, and patients with severe aphasia exhibit intact performance on logic tasks. Instead, inductive reasoning recruits the domain-general multiple demand network implicated broadly in goal-directed behaviors, whereas deductive reasoning draws on brain regions that are distinct from both the language and the multiple demand networks. Together, these results indicate that linguistic representations are neither utilized nor required for inductive or deductive logical reasoning. SignificanceWhich cognitive mechanisms allow humans to reason logically, to understand whether a conclusion follows from the premises? Are they the same ones that allow the assembly of words into structured representations? Scholars have debated for millennia whether logical reasoning is inextricably tied to natural language, or instead relies on a distinct "language of thought" (LOT). Using fMRI in healthy adults and evaluating logical ability in individuals with severe aphasia, we find that distinct neural systems support language processing vs. logical (inductive and deductive) reasoning. These results establish that language does not underpin logical inference and point to distinct representational systems for the logical LOT. This work contributes to our understanding of the division of cognitive labor in the human brain.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Composition is the core driver of the language-selective network 97%
- The language network reliably 'tracks' naturalistic meaningful non-verbal stimuli 96%
- Causal contributions of the domain-general (Multiple Demand) and the language-selective brain networks to perceptual and semantic challenges in speech comprehension 96%
Similar papers in this journal
Similar papers in this journal
- Frontal language areas do not emerge in the absence of temporal language areas: A case study of an individual born without a left temporal lobe 97%
- Intuitive physical reasoning is not mediated by linguistic nor exclusively domain-general abstract representations 97%
- Shared neural resources of rhythm and syntax: An ALE Meta-Analysis 95%
Similar papers in this journal
- Abstract neural representations of category membership beyond information coding stimulus or response 94%
- Hemispheric Asymmetries of Individual Differences in Functional Connectivity 94%
- Individual-subject functional localization increases univariate activation but not multivariate pattern discriminability in the 'multiple-demand' frontoparietal network 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.