A manifesto for applying behavioural science

M Hallsworth - Nature Human Behaviour, 2023 - nature.com
Recent years have seen a rapid increase in the use of behavioural science to address the
priorities of public and private sector actors. There is now a vibrant ecosystem of …

Machine culture

L Brinkmann, F Baumann, JF Bonnefon… - Nature Human …, 2023 - nature.com
The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Language models show human-like content effects on reasoning

I Dasgupta, AK Lampinen, SCY Chan… - arXiv preprint arXiv …, 2022 - arxiv.org
Abstract reasoning is a key ability for an intelligent system. Large language models (LMs)
achieve above-chance performance on abstract reasoning tasks, but exhibit many …

Cognitive architectures for language agents

TR Sumers, S Yao, K Narasimhan… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

Salience

P Bordalo, N Gennaioli, A Shleifer - Annual Review of …, 2022 - annualreviews.org
We review the fast-growing work on salience and economic behavior. Psychological
research shows that salient stimuli attract human attention bottom up due to their high …

The best game in town: The reemergence of the language-of-thought hypothesis across the cognitive sciences

J Quilty-Dunn, N Porot, E Mandelbaum - Behavioral and Brain …, 2023 - cambridge.org
Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

[HTML][HTML] A systematic review of human-AI interaction in autonomous ship systems

E Veitch, OA Alsos - Safety science, 2022 - Elsevier
Automation is increasing in shipping. Advancements in Artificial Intelligence (AI) applications
like collision avoidance and computer vision have the potential to augment or take over the …

Theory before the test: How to build high-verisimilitude explanatory theories in psychological science

I van Rooij, G Baggio - Perspectives on Psychological …, 2021 - journals.sagepub.com
Drawing on the philosophy of psychological explanation, we suggest that psychological
science, by focusing on effects, may lose sight of its primary explananda: psychological …

Embers of autoregression: Understanding large language models through the problem they are trained to solve

RT McCoy, S Yao, D Friedman, M Hardy… - arXiv preprint arXiv …, 2023 - arxiv.org
The widespread adoption of large language models (LLMs) makes it important to recognize
their strengths and limitations. We argue that in order to develop a holistic understanding of …

From word models to world models: Translating from natural language to the probabilistic language of thought

L Wong, G Grand, AK Lew, ND Goodman… - arXiv preprint arXiv …, 2023 - arxiv.org
How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …