Addressing Longstanding Challenges in Cognitive Science with Language Models

Researchers propose that language models could help address longstanding challenges in cognitive science research, including integration, formalization, and conceptual clarity. The paper suggests AI tools should complement rather than replace human researchers to create more integrative and cumulative cognitive science.

• →Cognitive science faces ongoing challenges in research integration and formalization due to its interdisciplinary nature.
• →Recent advances in language models offer new tools to potentially address these research challenges.
• →The paper outlines both capabilities and limitations of language models in cognitive science applications.
• →Authors identify potential pitfalls when applying AI tools to cognitive research.
• →Language models should complement human agency rather than replace it in scientific research.