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Record W2767686329

Object Permanence as Relational Stability or How to Get Representation from the Dynamics of Embodiment

2007· article· en· W2767686329 on OpenAlexaffabout
Jun Luo

Bibliographic record

VenueeScholarship (California Digital Library) · 2007
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsObject permanencePhenomenonPsychologyPerseverationObject (grammar)Representation (politics)Cognitive psychologyCognitive developmentCognitive scienceCognitionEpistemologyArtificial intelligenceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Object Permanence as Relational Stability or How to Get Representation from the Dynamics of Embodiment Jun Luo (jun.luo@utoronto.ca) Cognitive Science Program, University College, University of Toronto 15 King’s College Circle, Toronto, ON M5S 3H7 Canada reaches correctly. The same procedure is then done at the other well (called ‘B’). The child makes an “A-not-B error” if, during the ‘B trial’, they go back to search at A. Because the child repeats their A-trial response in a B trial, the A- not-B error is also called the “perseverative response”. The child outgrows such perseveration at about one year of age. For Piaget this phenomenon marks a transitional stage be- tween the beginning of a sense of “object permanence” (that occluded objects persist) and a robust grasp of it: the child can already retrieve a toy from a single hiding location, but they cannot yet cope with its “visible displacement” among multiple hiding locations. Many contemporary researchers used this phenomenon to “showcase” their research pro- grams: for Diamond (1990) it taps into the involvement of the prefrontal cortex, for Munakata (1998) it reveals the interplay of graded “active” and “latent” representation, for Marcovitch & Zelazo (1999) it is a window into conscious control, for Newcombe & Huttenlocher (2000) it illustrates the developmental interaction of locomotion and spatial coding. Thelen & Smith (1994) themselves already at- tempted an informal account of this phenomenon in their book that launched the DSA in developmental psychology. But, with the exception of Thelen & Smith, all such views are couched in explicitly representational terms: spatial code, location representation, conscious control, and so on. Against this background, we may understand the weight of the DSM for the DSA (Thelen et al 2001, p.2, e.a.): Abstract The dynamic systems approach is sometimes embraced in conjunction with causal coupling and in opposition to repre- sentation-based explanation. The dynamic systems model of the A-not-B phenomenon (Thelen et al, 2001) supposedly epitomizes this anti-representation alternative. It is argued here that this model fails to capture the crucial effects of body rotation in the A-not-B task and that we need a notion of rela- tional stability to account for these effects. Relational stability outstrips causal coupling but may ground a renewed under- standing of object permanence where representation is neces- sitated by and achieved through the dynamics of embodiment. Keywords: embodiment; representation; dynamic systems approach; A-not-B; object permanence; relational stability. Introduction Some advocates of the dynamic systems perspective in cog- nitive science take it to be an anti-representation alternative (Thelen & Smith, 1994; van Gelder, 1998; Thelen et al. 2001). This anti-representation stance, however, is not shared by many dynamic systems theorists of neural sys- tems (e.g. Seung 1996, Zhang 1996, Eliasmith & Anderson 2002) or even by theorists explicitly embracing the “dy- namic systems approach” (e.g. Elman, 1995; Beer, 1998). For discussion I will use the acronym “DSA”, with defer- ence to Thelen and Smith (1994), to mean the dynamic sys- tems perspective (i) restricted to psychological explanation solely in terms of causally coupled dynamic processes and (ii) taken to be anti-representational, but reserve the un- abridged “dynamic systems approach” for a general and possibly inclusive emphasis on the value of dynamic sys- tems analysis in cognitive science. The restriction to causal coupling is a central tenet of the DSA: it is to both provide a positive alternative to representation and steer it clear of the oft-laid accusation that dynamic systems modeling describes behavior without explicating the underlying mechanisms. To deliver on the promise of the DSA, Thelen et al (2001) offered a dynamic systems model of the A-not-B phenome- non (henceforth the DSM) from child development. Since Piaget (1954) identified it, this phenomenon has attracted the attention of generations of psychologists. Contemporary A-not-B experiments typically use a hiding device with two wells. The child (8- to 12-month-old) sits on the floor or in the caregiver’s lap watching the experimenter hide a toy in one of the wells. After hiding the toy, the wells are covered and the experimenter withholds the device to impose a delay of several seconds. The child is then allowed to reach and retrieve the toy. Such a trial is repeated a few times at the same well (called ‘A’ by convention) and the child typically Our message is: if we can understand this particu- lar infant task and its myriad contextual variations in terms of coupled dynamic processes, then the same kind of analysis can be applied to any task at any age. If we can show that “knowing” cannot be separated from perceiving, acting, and remember- ing, then these processes are always linked. There is no time and no task when such dynamics cease and some other mode of processing kicks in. Body and world remain ceaselessly melded together. The A-not-B task is representative of “any task at any age” because it had been invariably taken to mark the beginning of representational capacities for knowing that objects per- sist, remembering where they are, etc. Against this, the DSA proposes to treat it solely in terms of causally coupled dy- namic processes. The hope is: if the DSA were to succeed on this task, it could deal with, solo, any task later in life, whether or not it is traditionally viewed as representational. I shall note that the DSA’s take on the A-not-B task itself is also revisionary. While accepting the canonical design,

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.

How this classification was reachedexpand

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.027
GPT teacher head0.270
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2007
Admission routes2
Has abstractyes

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