Pensez comme Einstein grâce aux « Gedankenexperiment » ! DOI

Jean-Philippe Lachaux

Cerveau & Psycho, Journal Year: 2024, Volume and Issue: n° 172(12), P. 88 - 90

Published: Dec. 20, 2024

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

Asymmetric projection of introspection reveals a behavioural and neural mechanism for interindividual social coordination DOI Creative Commons
Kentaro Miyamoto, Caroline Harbison, Shiho Tanaka

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 20, 2025

Language: Английский

Citations

0

Reward monitoring in the frontopolar cortex of macaques DOI Creative Commons
Lorenzo Ferrucci, Francesco Ceccarelli, Fabrizio Londei

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 12, 2025

Language: Английский

Citations

0

A computational model of general suicide ideation DOI Open Access
Lingyu Li,

Chunbo Li

Published: May 10, 2024

Suicidal ideation represents one of the most complex mental phenomena and poorly understood. This paper explores psychic mechanisms suicide through a novel approach that combines computational methods with Lacanian psychoanalysis, specifically utilizing free energy principle (FEP). We begin by outlining foundational concepts FEP psychoanalysis. Subsequently, we review contemporary theories thought including Interpersonal theory, Escape other psychoanalytic perspectives. identify four components suicidal ideation: symbolic suicide, imaginary desire for death, passage act. A recurrent generative model is proposed simulates impulses based on internal states external events. discuss enhancing practical applicability validating this theoretical using real-world data like Social Readjustment Rating Scale Personality Inventory DSM-5 (PID-5). The predictive capability our evaluating an open-source dataset PID-5 Columbia Suicide Severity Scale, achieving AUC 0.76, despite absence life event data. demonstrates potential psychometrics as paradigm integrating psychometric measurement modeling psychological phenomena. Further work should validate incorporating factors to refine its explanatory power. With continued development, could provide new tools better assessing, understanding, treating ideation.

Language: Английский

Citations

0

Concepts as an Interface DOI
Nicholas Shea

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 117 - 154

Published: Aug. 9, 2024

Abstract Concepts act as an interface between general-purpose conceptual thought and special-purpose informational models. A concept is a ‘plug-and-play’ device connecting deliberative thinking to simulations in sensory, motor, affective, evaluative systems. Concept-driven starts with conceptually structured thought. This drives the construction of ‘suppositional scenario’—an interconnected representation situation built up using For example, ‘will chair fit my car?’ prompts mental simulation assessing spatial configurations. Conclusions are expressed back facilitate this working memory labels that sustain manipulate representations, while also plugging into compositional structures for content-general composition reasoning. gives concepts crucial interfacing role. Evidence supports providing such access, combination control. framework explains power human thought—flexibly combining construct integrated scenarios from which new conclusions can be drawn.

Language: Английский

Citations

0

Concluding Thoughts DOI
Nicholas Shea

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 211 - 228

Published: Aug. 9, 2024

Abstract This chapter summarises the book’s key arguments about nature of concepts and their role in human cognition. It emphasises that act as an interface between domain-general, logical reasoning content-specific computations special-purpose systems. Conceptual thought orchestrates inferences across these systems to construct rich, multi-modal amodal informational models. Deliberation involves manipulating models anticipate outcomes make choices, going beyond merely reacting stimuli. Concepts enable flexible recombination representations while retaining connections experience-based knowledge. hybrid system allows humans engage sophisticated planning inference. The power cognition emerges from interaction conceptual are central unlocking special

Language: Английский

Citations

0

Thinking with Concepts DOI
Nicholas Shea

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Aug. 9, 2024

Abstract This chapter introduces the topic of conceptual thinking. Conceptual thinking involves conscious, deliberate thought processes that rely on working memory and are subject to cognitive load. Concepts mental representations serve as freely-recombinable components thoughts. When combined in memory, concepts provide access a variety information stored other systems, allowing construction rich, cross-domain models situations. Inference includes both step-by-step reasoning non-local draw conclusions from larger or whole. act an interface between general-purpose, broadly-logical special-purpose informational represent domains like space social relations. Thinking brings these elements together integrated ‘cognitive playground’. Metacognition monitors controls by assessing confidence concepts, information, inferences involved. The book develops ideas into novel, empirically-grounded account explains central features human cognition inference.

Language: Английский

Citations

0

Figure Credits DOI
Nicholas Shea

Published: Aug. 9, 2024

Citations

0

The Frame Problem and the If-Then Problem DOI
Nicholas Shea

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 155 - 176

Published: Aug. 9, 2024

Abstract This chapter argues that human cognition manages to solve the notorious frame problem (the of relevance-based search) by relying on concepts interface between special-purpose informational models and general-purpose reasoning. Deep neural networks avoid building in assumptions relevance, but eventually face limits. Storing explicit memories reintroduces searching memory for relevance. The concept-driven architecture offers a hybrid solution. Special-purpose systems generate relevant considerations which reasoning operates. Their state spaces allow search along multiple semantic dimensions. can approximate isotropic search. Concepts compose these combinatorially. explains how partly avoids, solves, problem.

Language: Английский

Citations

0

Informational Models DOI
Nicholas Shea

Oxford University Press eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 87 - 116

Published: Aug. 9, 2024

Abstract This chapter discusses the variety of ways that information can be represented in order to support planning, prospection, and inference—here referred as ‘informational models’. It outlines several types, focusing on key features representational structure computational process. These include domain-specific perceptual reinforcement learning systems; ‘model-based’ systems rely representing causal structure; structural representations cognitive maps; relational reasoning with concepts; using one relation stand for another; conceptual models domains like number, natural kinds, causation. The informational differ along various dimensions: organized vs. representation; content-specific content-general computations; local non-local inferences; whether inferences are automatic or deliberative; model itself just its outputs relied deliberation. diversity raises important question how thought integrate such heterogeneous models—answered next chapter.

Language: Английский

Citations

0