https://www.scienceopen.com/hosted-document?doi=10.15212/bioi-2025-0199
Announcing a new article publication in
BIO Integration. This review explores the intersection between large language models (LLMs) and cognitive science by examining similarities and differences between LLMs and human cognitive processes. It evaluates methods for assessing LLMs’ cognitive abilities and discusses their potential as cognitive models. The article surveys applications of LLMs across multiple cognitive domains and highlights insights relevant to cognitive science research. Cognitive biases and limitations of LLMs are analyzed alongside proposed approaches for improving performance. The integration of LLMs with cognitive architectures is also examined, revealing promising directions for advancing artificial intelligence (AI). Key challenges and future research priorities are outlined, emphasizing the need for continued refinement to better align LLMs with human cognition. Overall, the review offers a perspective on the current state and future potential of LLMs in enhancing understanding of both AI and human intelligence.
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BIO Integration is fully open access journal which will allow for the rapid dissemination of multidisciplinary views driving the progress of modern medicine.
As part of its mandate to help bring interesting work and knowledge from around the world to a wider audience,
BIOI will actively support authors through open access publishing and through waiving author fees in its first years. Also, publication support for authors whose first language is not English will be offered in areas such as manuscript development, English language editing and artwork assistance.
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www.bio-integration.org to learn more about the journal.
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ISSN 2712-0074
eISSN 2712-0082
Qian Niu, Junyu Liu and Ziqian Bi et al. Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges.
BIOI. 2026. Vol. 7(1). DOI: 10.15212/bioi-2025-0199
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