Political reinforcement learners
Trends Cogn Sci. 2024 Jan 8:S1364-6613(23)00287-5. doi: 10.1016/j.tics.2023.12.001. Online ahead of print.ABSTRACTPolitics can seem home to the most calculating and yet least rational elements of humanity. How might we systematically characterize this spectrum of political cognition? Here, we propose reinforcement learning (RL) as a unified framework to dissect the political mind. RL describes how agents algorithmically navigate complex and uncertain domains like politics. Through this computational lens, we outline three routes to political differences, stemming from variability in agents' conceptions of a problem, the co...
Source: Trends Cogn Sci - January 9, 2024 Category: Neuroscience Authors: Lion Schulz Rahul Bhui Source Type: research
Towards an AI policy framework in scholarly publishing
Trends Cogn Sci. 2024 Feb;28(2):85-88. doi: 10.1016/j.tics.2023.12.002. Epub 2024 Jan 8.ABSTRACTThe rapid adoption of artificial intelligence (AI) tools in academic research raises pressing ethical concerns. I examine major publishing policies in science and medicine, uncovering inconsistencies and limitations in guiding AI usage. To encourage responsible AI integration while upholding transparency, I propose an enabling framework with author and reviewer policy templates.PMID:38195365 | DOI:10.1016/j.tics.2023.12.002 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 9, 2024 Category: Neuroscience Authors: Zhicheng Lin Source Type: research
Political reinforcement learners
Trends Cogn Sci. 2024 Jan 8:S1364-6613(23)00287-5. doi: 10.1016/j.tics.2023.12.001. Online ahead of print.ABSTRACTPolitics can seem home to the most calculating and yet least rational elements of humanity. How might we systematically characterize this spectrum of political cognition? Here, we propose reinforcement learning (RL) as a unified framework to dissect the political mind. RL describes how agents algorithmically navigate complex and uncertain domains like politics. Through this computational lens, we outline three routes to political differences, stemming from variability in agents' conceptions of a problem, the co...
Source: Trends Cogn Sci - January 9, 2024 Category: Neuroscience Authors: Lion Schulz Rahul Bhui Source Type: research
Towards an AI policy framework in scholarly publishing
Trends Cogn Sci. 2024 Jan 8:S1364-6613(23)00288-7. doi: 10.1016/j.tics.2023.12.002. Online ahead of print.ABSTRACTThe rapid adoption of artificial intelligence (AI) tools in academic research raises pressing ethical concerns. I examine major publishing policies in science and medicine, uncovering inconsistencies and limitations in guiding AI usage. To encourage responsible AI integration while upholding transparency, I propose an enabling framework with author and reviewer policy templates.PMID:38195365 | DOI:10.1016/j.tics.2023.12.002 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 9, 2024 Category: Neuroscience Authors: Zhicheng Lin Source Type: research
Socioeconomic disparities harm social cognition
Trends Cogn Sci. 2024 Jan 6:S1364-6613(23)00305-4. doi: 10.1016/j.tics.2023.12.005. Online ahead of print.NO ABSTRACTPMID:38185605 | DOI:10.1016/j.tics.2023.12.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 7, 2024 Category: Neuroscience Authors: Sol Fittipaldi Joaqu ín Migeot Agustin Ibanez Source Type: research
Socioeconomic disparities harm social cognition
Trends Cogn Sci. 2024 Jan 6:S1364-6613(23)00305-4. doi: 10.1016/j.tics.2023.12.005. Online ahead of print.NO ABSTRACTPMID:38185605 | DOI:10.1016/j.tics.2023.12.005 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - January 7, 2024 Category: Neuroscience Authors: Sol Fittipaldi Joaqu ín Migeot Agustin Ibanez Source Type: research
In praise of empathic AI
Trends Cogn Sci. 2023 Dec 29:S1364-6613(23)00289-9. doi: 10.1016/j.tics.2023.12.003. Online ahead of print.ABSTRACTIn this article we investigate the societal implications of empathic artificial intelligence (AI), asking how its seemingly empathic expressions make people feel. We highlight AI's unique ability to simulate empathy without the same biases that afflict humans. While acknowledging serious pitfalls, we propose that AI expressions of empathy could improve human welfare.PMID:38160068 | DOI:10.1016/j.tics.2023.12.003 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - December 30, 2023 Category: Neuroscience Authors: Michael Inzlicht C Daryl Cameron Jason D'Cruz Paul Bloom Source Type: research
In praise of empathic AI
Trends Cogn Sci. 2023 Dec 29:S1364-6613(23)00289-9. doi: 10.1016/j.tics.2023.12.003. Online ahead of print.ABSTRACTIn this article we investigate the societal implications of empathic artificial intelligence (AI), asking how its seemingly empathic expressions make people feel. We highlight AI's unique ability to simulate empathy without the same biases that afflict humans. While acknowledging serious pitfalls, we propose that AI expressions of empathy could improve human welfare.PMID:38160068 | DOI:10.1016/j.tics.2023.12.003 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - December 30, 2023 Category: Neuroscience Authors: Michael Inzlicht C Daryl Cameron Jason D'Cruz Paul Bloom Source Type: research
In praise of empathic AI
Trends Cogn Sci. 2023 Dec 29:S1364-6613(23)00289-9. doi: 10.1016/j.tics.2023.12.003. Online ahead of print.ABSTRACTIn this article we investigate the societal implications of empathic artificial intelligence (AI), asking how its seemingly empathic expressions make people feel. We highlight AI's unique ability to simulate empathy without the same biases that afflict humans. While acknowledging serious pitfalls, we propose that AI expressions of empathy could improve human welfare.PMID:38160068 | DOI:10.1016/j.tics.2023.12.003 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - December 30, 2023 Category: Neuroscience Authors: Michael Inzlicht C Daryl Cameron Jason D'Cruz Paul Bloom Source Type: research
In praise of empathic AI
Trends Cogn Sci. 2023 Dec 29:S1364-6613(23)00289-9. doi: 10.1016/j.tics.2023.12.003. Online ahead of print.ABSTRACTIn this article we investigate the societal implications of empathic artificial intelligence (AI), asking how its seemingly empathic expressions make people feel. We highlight AI's unique ability to simulate empathy without the same biases that afflict humans. While acknowledging serious pitfalls, we propose that AI expressions of empathy could improve human welfare.PMID:38160068 | DOI:10.1016/j.tics.2023.12.003 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - December 30, 2023 Category: Neuroscience Authors: Michael Inzlicht C Daryl Cameron Jason D'Cruz Paul Bloom Source Type: research
In praise of empathic AI
Trends Cogn Sci. 2023 Dec 29:S1364-6613(23)00289-9. doi: 10.1016/j.tics.2023.12.003. Online ahead of print.ABSTRACTIn this article we investigate the societal implications of empathic artificial intelligence (AI), asking how its seemingly empathic expressions make people feel. We highlight AI's unique ability to simulate empathy without the same biases that afflict humans. While acknowledging serious pitfalls, we propose that AI expressions of empathy could improve human welfare.PMID:38160068 | DOI:10.1016/j.tics.2023.12.003 (Source: Trends Cogn Sci)
Source: Trends Cogn Sci - December 30, 2023 Category: Neuroscience Authors: Michael Inzlicht C Daryl Cameron Jason D'Cruz Paul Bloom Source Type: research
We know what attention is!
Trends Cogn Sci. 2023 Dec 15:S1364-6613(23)00286-3. doi: 10.1016/j.tics.2023.11.007. Online ahead of print.ABSTRACTAttention is one of the most thoroughly investigated psychological phenomena, yet skepticism about attention is widespread: we do not know what it is, it is too many things, there is no such thing. The deficiencies highlighted are not about experimental work but the adequacy of the scientific theory of attention. Combining common scientific claims about attention into a single theory leads to internal inconsistency. This paper demonstrates that a specific functional conception of attention is incorporated into...
Source: Trends Cogn Sci - December 16, 2023 Category: Neuroscience Authors: Wayne Wu Source Type: research
An active inference perspective for the amygdala complex
Trends Cogn Sci. 2023 Dec 15:S1364-6613(23)00283-8. doi: 10.1016/j.tics.2023.11.004. Online ahead of print.ABSTRACTThe amygdala is a heterogeneous network of subcortical nuclei with central importance in cognitive and clinical neuroscience. Various experimental designs in human psychology and animal model research have mapped multiple conceptual frameworks (e.g., valence/salience and decision making) to ever more refined amygdala circuitry. However, these predominantly bottom up-driven accounts often rely on interpretations tailored to a specific phenomenon, thus preventing comprehensive and integrative theories. We argue ...
Source: Trends Cogn Sci - December 16, 2023 Category: Neuroscience Authors: Ronald Sladky Dominic Kargl Wulf Haubensak Claus Lamm Source Type: research
We know what attention is!
Trends Cogn Sci. 2023 Dec 15:S1364-6613(23)00286-3. doi: 10.1016/j.tics.2023.11.007. Online ahead of print.ABSTRACTAttention is one of the most thoroughly investigated psychological phenomena, yet skepticism about attention is widespread: we do not know what it is, it is too many things, there is no such thing. The deficiencies highlighted are not about experimental work but the adequacy of the scientific theory of attention. Combining common scientific claims about attention into a single theory leads to internal inconsistency. This paper demonstrates that a specific functional conception of attention is incorporated into...
Source: Trends Cogn Sci - December 16, 2023 Category: Neuroscience Authors: Wayne Wu Source Type: research
An active inference perspective for the amygdala complex
Trends Cogn Sci. 2023 Dec 15:S1364-6613(23)00283-8. doi: 10.1016/j.tics.2023.11.004. Online ahead of print.ABSTRACTThe amygdala is a heterogeneous network of subcortical nuclei with central importance in cognitive and clinical neuroscience. Various experimental designs in human psychology and animal model research have mapped multiple conceptual frameworks (e.g., valence/salience and decision making) to ever more refined amygdala circuitry. However, these predominantly bottom up-driven accounts often rely on interpretations tailored to a specific phenomenon, thus preventing comprehensive and integrative theories. We argue ...
Source: Trends Cogn Sci - December 16, 2023 Category: Neuroscience Authors: Ronald Sladky Dominic Kargl Wulf Haubensak Claus Lamm Source Type: research
