The Structure of Social Cognition: Precursors, Mechanisms, and Competencies

Social competence is an architecture rather than a unitary capacity, and the cognitive science of social behaviour remains fragmentedacross disciplines that do not always share a vocabulary. We propose a three-level decomposition, drawing on cognitive science,developmental psychology, philosophy of mind, psycholinguistics, social ethology and AI research. Seven candidate socio-cognitiveprecursors (embodied, pre-representational dispositions such as animacy detection, gaze following and emotional contagion) sitbelow seven socio-cognitive mechanisms (goal inference, mentalizing, mutual modelling, shared intentionality, meta-cognitive socialmodelling, norm representation, reciprocity tracking), which compose into thirty-eight domain competencies. The mechanisms areindividuated by dissociability and ordered by their dependencies, with the evidence stated for each boundary. That ordering carriesour main structural claim: goal inference, not mentalizing, is the foundational mechanism, and coordination, joint commitment andcommon ground (short of its epistemic form) do not require belief attribution. This departs from the theory-of-mind-centred accountsthe field has organised itself around. We also discuss two factors that are not specific to social cognition, yet play a fundamental role init: situatedness, and central coherence, which we argue is a parameter on belief inference rather than a socio-cognitive mechanismper-se. Finally, we compile a catalogue of experimental paradigms, including matched “fine-cuts” task pairs that separate surface socialperformance from socio-cognitive competence, and set out how the framework could be tested by socio-cognitive ablation.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22957903
Primary Topic
Child and Animal Learning Development
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

The Structure of Social Cognition: Precursors, Mechanisms, and Competencies

Raquel Ros, Séverin Lemaignan
Zenodo (CERN European Organization for Nuclear Research)
Child and Animal Learning Development
preprint

The Structure of Social Cognition: Precursors, Mechanisms, and Competencies

Raquel Ros, Séverin Lemaignan
preprint en

Abstract

Social competence is an architecture rather than a unitary capacity, and the cognitive science of social behaviour remains fragmentedacross disciplines that do not always share a vocabulary. We propose a three-level decomposition, drawing on cognitive science,developmental psychology, philosophy of mind, psycholinguistics, social ethology and AI research. Seven candidate socio-cognitiveprecursors (embodied, pre-representational dispositions such as animacy detection, gaze following and emotional contagion) sitbelow seven socio-cognitive mechanisms (goal inference, mentalizing, mutual modelling, shared intentionality, meta-cognitive socialmodelling, norm representation, reciprocity tracking), which compose into thirty-eight domain competencies. The mechanisms areindividuated by dissociability and ordered by their dependencies, with the evidence stated for each boundary. That ordering carriesour main structural claim: goal inference, not mentalizing, is the foundational mechanism, and coordination, joint commitment andcommon ground (short of its epistemic form) do not require belief attribution. This departs from the theory-of-mind-centred accountsthe field has organised itself around. We also discuss two factors that are not specific to social cognition, yet play a fundamental role init: situatedness, and central coherence, which we argue is a parameter on belief inference rather than a socio-cognitive mechanismper-se. Finally, we compile a catalogue of experimental paradigms, including matched “fine-cuts” task pairs that separate surface socialperformance from socio-cognitive competence, and set out how the framework could be tested by socio-cognitive ablation.

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Research Institute (ES)
Quality Education, Reduced inequalities
Child and Animal Learning Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.