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Record W4407152880 · doi:10.3233/faia241535

Robo Ludens: A Playful Conception of the Social

2025· book-chapter· en· W4407152880 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in artificial intelligence and applications · 2025
Typebook-chapter
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologySociologyHistory

Abstract

fetched live from OpenAlex

This paper explores the foundational role of play in the constitution of the social, showing a way for considering play not merely as a children’s pastime or simply unproductive and pleasurable activity, but a critical component of social relationality and agency. Drawing on anthropological and sociological perspectives, the paper follows an alternative to existing approaches in social robotics, and proposes a conception of ‘Robo Ludens’ through a discussion of play as an attitude that is fundamental to emergence of sociality (Huizinga, 1949), and thus prepare a way for social robotics to explore how to make robots compellingly social. The paper considers play’s inherent ability to invoke indeterminacy (Malaby, 2009), and its facilitation of metacommunication amongst actors that ultimately facilitate their agency and socialization in a given environment (Bateson, 1955). Then a robotic design paradigm proposed by Ralf Der and Georg Martius (2012) is given as an example of how searching for playful attitudes in robots creates dynamic systems that playfully learn and socialize into their environment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.286
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it