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 …
priorities of public and private sector actors. There is now a vibrant ecosystem of …
Machine culture
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 …
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
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 …
achieve above-chance performance on abstract reasoning tasks, but exhibit many …
Cognitive architectures for language agents
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 …
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …
Salience
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
meaning from language--and how can we leverage a theory of linguistic meaning to build …