人类构想现实替代情境的能力是日常认知的核心。研究人员的推理能力不仅取决于对相关事实的把握，也依赖于模拟事实替代情境的熟练程度。本文探讨演绎推理（deductive inference）如何依赖于对 ...

Do neural network models capture the cognitive demands of human reasoning? Across seven reasoning tasks, we show that the length of the chain-of-thought generated by large reasoning models predicts ...

As language models get larger, they seem to only get better. Larger language models score better on benchmarks and unlock new capabilities like arithmetic [1], few-shot learning [1], and multi-step ...

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Explanations are central to understanding the causal relationships between entities within the environment. Instead of examining basic heuristics and schemata that inform the acceptance or rejection ...

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7. Given below are one Assertion (A) and a Reason (R). Consider them and select the correct code in the context of Carvaka philosophy. (1) Both (A) and (R) are true and (R) is the correct explanation ...

The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic that is based on probability distributions. It shows how distributions are combined with logical ...

Abstract: This paper investigates the inverse problem of ap proximate reasoning [to conclude A' from B' and (A→ B)] from different angles. We develop a method to And a solution to the inverse problem ...