Causal learning from interventions and dynamics in continuous time

Event timing and interventions are important and intertwinedcues to causal structure, yet they have typically been studiedseparately. We bring them together for the first time in an ex-periment where participants learn causal structure by perform-ing interventions in continuous time. We contrast learning inacyclic and cyclic devices, with reliable and unreliable cause–effect delays. We show that successful learners use interven-tions to structure and simplify their interactions with the de-vices and that we can capture judgment patterns with heuristicsbased on online construction and testing of a single structura

What's fair? How children assign reward to members of teams with differing causal structures

How do children reward individual members of a team that has just won or lost a game? We know that from pre-school age, children consider agents’ performance when allocating reward. Here we assess whether children can go further and appreciate performance in context: The same pattern of performance can contribute to a team outcome in different ways, depending on the underlying rule framework. Two experiments, with three age groups (4/5-year-olds, 6/7-year-olds, and adults), varied performance of team members, with the same performance patterns considered under three different game rules for winning or losing. These three rules created distinct underlying causal structures (additive, conjunctive, disjunctive), for how individual performance affected the overall team outcome. Even the youngest children differentiated between different game rules in their reward allocations. Rather than only rewarding individual performance, or whether the team won/lost, children were sensitive to the team structure and how players’ performance contributed to the win/loss under each of the three game rules. Not only do young children consider it fair to allocate resources based on merit, but they are also sensitive to the causal structure of the situation which dictates how individual contributions combine to determine the team outcome

Time in causal structure learning

A large body of research has explored how the time between two events affects judgments of causal strength between them. In this article, we extend this work in 4 experiments that explore the role of temporal information in causal structure induction with multiple variables. We distinguish two qualitatively different types of information: The order in which events occur, and the temporal intervals between those events. We focus on one-shot learning in Experiment 1. In Experiment 2, we explore how people integrate evidence from multiple observations of the same causal device. Participants' judgments are well predicted by a Bayesian model that rules out causal structures that are inconsistent with the observed temporal order, and favors structures that imply similar intervals between causally connected components. In Experiments 3 and 4, we look more closely at participants' sensitivity to exact event timings. Participants see three events that always occur in the same order, but the variability and correlation between the timings of the events is either more consistent with a chain or a fork structure. We show, for the first time, that even when order cues do not differentiate, people can still make accurate causal structure judgments on the basis of interval variability alone

Changement linguistique et périodisation du francąis (pré)classique: Deux études de cas à partir des corpus du RCFC

RÉSUMÉCette étude propose d’explorer et d’identifier des moments particuliers où le changement linguistique se produit, afin de confirmer ou de rejeter l’idée d’une période spécifique désignée par le terme « français préclassique », avec une rupture – ou frontière chronolectale – détectable autour de 1630 (cf. Ayres-Bennett et Caron, 2016). Afin de vérifier dans quelle mesure cette chronologie peut être confirmée, il est nécessaire de multiplier des analyses fines et pointues sur des traits linguistiques qui ont subi des changements à l’époque en question et d’interroger une gamme de textes qui reflètent la variation discursive et pragmatique, au lieu de consulter le canon des traditions textuelles actuellement disponibles sur des bases numérisées, qui sont essentiellement littéraires. C’est pourquoi nous avons consulté des sources de nature différente, qui pourraient attester des usages émergents, à savoir les corpus du Réseau Corpus Français Préclassique et Classique (RCFC). Seront présentés les résultats de deux études de cas (la recatégorisation des formesdedans/dessous/dessus/dehorset la montée des clitiques), abondamment discutés par les remarqueurs.</jats:p

Behandlungsempfehlungen Insomnie der Gruppe «Schlaf & Psychiatrie» der SGSSC

Die Insomnie ist eine häufige Störung der Schlaf-Wach-Regulation und tritt oft komorbid auf. Die nachfolgenden Behandlungsempfehlungen stellen evidenzbasierte Diagnostik- und Therapiestrategien vor und umfassen sowohl psychotherapeutische wie auch pharmakotherapeutische Interventionen. Diese Empfehlungen der Schweizerischen Gesellschaft für Schlafforschung, Schlafmedizin und Chronobiologie (SGSSC) für die Behandlung der Insomnie wurden auf Grundlage der Leitlinien der «European Sleep Research Society» (ESRS) von 2023 [1] sowie der S3-Leitlinie/Nationalen Versorgungsleitlinie «Nicht erholsamer Schlaf/Schlafstörungen» der Deutschen Gesellschaft für Schlafforschung und Schlafmedizin (DGSM) von 2017 [2] erstellt. Sie geben nicht unbedingt die Ansicht der SMF-Redaktion wieder. Der Inhalt untersteht der redaktionellen Verantwortung der unterzeichnenden Fachgesellschaft bzw. Arbeitsgruppe

The Search for Invariance: Repeated Positive Testing Serves the Goals of Causal Learning

Positive testing is characteristic of exploratory behavior, yet it seems to be at odds with the aim of information seeking. After all, repeated demonstrations of one’s current hypothesis often produce the same evidence and fail to distinguish it from potential alternatives. Research on the development of scientific reasoning and adult rule learning have both documented and attempted to explain this behavior. The current chapter reviews this prior work and introduces a novel theoretical account—the Search for Invariance (SI) hypothesis—which suggests that producing multiple positive examples serves the goals of causal learning. This hypothesis draws on the interventionist framework of causal reasoning, which suggests that causal learners are concerned with the invariance of candidate hypotheses. In a probabilistic and interdependent causal world, our primary goal is to determine whether, and in what contexts, our causal hypotheses provide accurate foundations for inference and intervention—not to disconfirm their alternatives. By recognizing the central role of invariance in causal learning, the phenomenon of positive testing may be reinterpreted as a rational information-seeking strategy

Learning in the European Union: Theoretical Lenses and Meta-Theory

notes: This paper is based on research carried out with the support of the European Research Council grant on Analysis of Learning in Regulatory Governance, ALREG http://centres.exeter.ac.uk/ceg/research/ALREG/index.php. The authors wish to express their gratitude to the other authors in this special edition and in particular its editor, Nikos Zaharaidis and X anonymous referees.publication-status: AcceptedThe European Union may well be a learning organization, yet there is still confusion about the nature of learning, its causal structure and the normative implications. In this article we select four perspectives that address complexity, governance, the agency-structure nexus, and how learning occurs or may be blocked by institutional features. They are transactional theory, purposeful opportunism, experimental governance, and the joint decision trap. We use the four cases to investigate how history and disciplinary traditions inform theory; the core causal arguments about learning; the normative implications of the analysis; the types of learning that are theoretically predicted; the meta-theoretical aspects and the lessons for better theories of the policy process and political scientists more generally