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Influence of Solution Efficiency and Valence of Instruction on Additive and Subtractive Solution Strategies in Humans and GPT-4
April 26, 2024, 4:47 a.m. | Lydia Uhler, Verena Jordan, J\"urgen Buder, Markus Huff, Frank Papenmeier
cs.CL updates on arXiv.org arxiv.org
Abstract: We explored the addition bias, a cognitive tendency to prefer adding elements over removing them to alter an initial state or structure, by conducting four preregistered experiments examining the problem-solving behavior of both humans and OpenAl's GPT-4 large language model. The experiments involved 588 participants from the U.S. and 680 iterations of the GPT-4 model. The problem-solving task was either to create symmetry within a grid (Experiments 1 and 3) or to edit a summary …
abstract arxiv behavior bias cognitive cs.ai cs.cl efficiency gpt gpt-4 humans influence problem-solving solution state strategies them type
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