Affordances, constraints, and implications of ChatGPT in education from a social-ecological perspective: A data mining approach DOI Creative Commons
Yuchun Zhong, Jie Lian, Hao Huang

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Language: Английский

The neuroconnectionist research programme DOI
Adrien Doerig,

Rowan P. Sommers,

Katja Seeliger

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(7), P. 431 - 450

Published: May 30, 2023

Language: Английский

Citations

133

The Computational Theory of Mind DOI

Matteo Colombo,

Gualtiero Piccinini

Published: Nov. 13, 2023

The Computational Theory of Mind says that the mind is a computing system. It has long history going back to idea thought kind computation. Its modern incarnation relies on analogies with contemporary technology and use computational models. comes in many versions, some more plausible than others. This Element supports theory primarily by its contribution solving mind-body problem, ability explain mental phenomena, success modelling artificial intelligence. To be turned into an adequate theory, it needs made compatible tractability cognition, situatedness dynamical aspects mind, way brain works, intentionality, consciousness.

Language: Английский

Citations

76

Symbols and grounding in large language models DOI Creative Commons
Ellie Pavlick

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2023, Volume and Issue: 381(2251)

Published: June 4, 2023

Large language models (LLMs) are one of the most impressive achievements artificial intelligence in recent years. However, their relevance to study more broadly remains unclear. This article considers potential LLMs serve as understanding humans. While debate on this question typically centres around models’ performance challenging tasks, argues that answer depends underlying competence, and thus focus should be empirical work which seeks characterize representations processing algorithms underlie model behaviour. From perspective, offers counterarguments two commonly cited reasons why cannot plausible humans: lack symbolic structure grounding. For each, a case is made trends undermine common assumptions about LLMs, it premature draw conclusions LLMs’ ability (or thereof) offer insights human representation understanding. part discussion meeting issue ‘Cognitive intelligence’.

Language: Английский

Citations

50

Language is primarily a tool for communication rather than thought DOI
Evelina Fedorenko, Steven T. Piantadosi,

Edward Gibson

et al.

Nature, Journal Year: 2024, Volume and Issue: 630(8017), P. 575 - 586

Published: June 19, 2024

Language: Английский

Citations

36

Human and nonhuman norms: a dimensional framework DOI Creative Commons
Kristin Andrews, Simon Fitzpatrick, Evan Westra

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1897)

Published: Jan. 21, 2024

Human communities teem with a variety of social norms. In order to change unjust and harmful norms, it is crucial identify the psychological processes that give rise them. Most researchers take for granted norms are uniquely human. By contrast, we approach this matter from comparative perspective, leveraging recent research on animal behaviour. While there currently only suggestive evidence in nonhuman communities, argue human likely produced by wide range mechanisms, many which share animals. Approaching variability perspective can help norm expand reframe hypotheses they test when attempting understand causes socially normative behaviours humans. First, diagnose some theoretical obstacles developing science offer few basic constructs distinctions overcome these obstacles. Then develop six-dimensional model factors contribute both potential This article part theme issue ‘Social change: drivers consequences’.

Language: Английский

Citations

16

Concepts at the Interface DOI
Nicholas Shea

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 9, 2024

Abstract Research on concepts has concentrated the way people apply online, when presented with a stimulus. Just as important, however, is use of offline, planning what to do or thinking about case. There strong evidence that inferences driven by conceptual thought draw heavily special-purpose resources: sensory, motoric, affective, and evaluative. At same time, afford general-purpose recombination support domain-general reasoning processes—phenomena have long been focus philosophers. growing consensus theory must encompass both kinds process. This book shows how are able act an interface between systems. Concept-driven can take advantage complementary costs benefits each. The lays out empirically-based account different ways in which takes us new conclusions underpins planning, decision-making, action. It also spells three useful implications account. First, it allows reconstruct commonplace idea draws meaning concept. Second, offers insight into human cognition avoids frame problem complementary, less discussed, ‘if-then problem’ for nested processing dispositions. Third, metacognition concept-driven various ways. framework developed elucidates makes especially powerful cognitive resource.

Language: Английский

Citations

13

The Edge of Sentience DOI
Jonathan Birch

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: July 19, 2024

Abstract Can octopuses feel pain and pleasure? What about crabs, shrimps, insects, or spiders? How do we tell whether a person unresponsive after severe brain injury might be suffering? When does fetus in the womb start to have conscious experiences? Could there even rudimentary feelings miniature models of human brain, grown from stem cells? And what AI? These are questions edge sentience, they subject enormous, disorienting uncertainty. The stakes immense, neglecting risks can terrible costs. We need err on side caution, yet it’s often far clear ‘erring caution’ should mean practice. going too far? not doing enough? Edge Sentience presents comprehensive precautionary framework designed help us reach ethically sound, evidence-based decisions despite our

Language: Английский

Citations

12

Theoretical strategies for an embodied cognitive neuroscience: Mechanistic explanations of brain-body-environment systems DOI

Davy Mougenot,

Heath E. Matheson

Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 15(3-4), P. 85 - 97

Published: May 12, 2024

Cognitive neuroscience seeks to explain mind, brain, and behavior. But how do we generate explanations? In this integrative theoretical paper, review the commitments of 'New Mechanist' movement within philosophy science, focusing specifically on role mechanistic models in scientific explanation. We highlight approach differs from other explanatory approaches field, showing its unique contributions efforts then argue that Embodied Cognition framework converge with New Mechanist a way provides necessary strategy available cognitive neuroscience. discuss number consequences convergence, including issues related inadequacy statistical prediction, neuroscientific reduction, autonomy psychology neuroscience, psychological ontology. hope our thesis researchers for an embodied

Language: Английский

Citations

9

The Formats of Cognitive Representation: A Computational Account DOI Open Access
Dimitri Coelho Mollo, Alfredo Vernazzani

Philosophy of Science, Journal Year: 2023, Volume and Issue: 91(3), P. 682 - 701

Published: Oct. 4, 2023

Abstract Cognitive representations are typically analyzed in terms of content, vehicle, and format. Although current work on formats appeals to intuitions about external representations, such as words maps, this article, we develop a computational view that does not rely intuitions. In our view, individuated by the profiles vehicles, is, set constraints fix transformations vehicles can undergo. The resulting picture is strongly pluralistic, makes space for variety different formats, intimately tied approach cognition cognitive science artificial intelligence.

Language: Английский

Citations

18

The relational bottleneck as an inductive bias for efficient abstraction DOI
Taylor W. Webb, Steven Frankland,

Awni Altabaa

et al.

Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(9), P. 829 - 843

Published: May 9, 2024

Language: Английский

Citations

7