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Causality is the cognitive basis for the acquisition and use of categories
and concepts in children. The previous papers in this conference have discussed
whether causality has a single underlying mechanism for this ability (Watson),
two systems (Reboul), or three domains (Inagaki & Hatano). Watson suggests
that a single mechanism could be used to reason about objects and people and
that there is no need for these to be divided. These views are in line with work
by Onishi and Baillargeon (2005) which will be discussed below. Reboul
highlights comparisons between human and non-human causal reasoning and suggests
that the onset of language might be a critical difference between arbitrary
causal knowledge and natural causal knowledge. Some of my work coincides with
this view and I will describe data that relate to these points. Finally, the
core domains of physics, psychology, and biology presented by Inagaki and Hatano
present compelling data describing the different signatures that each of these
domains present. Their views overlap with Spelke’s (2000) core domains, with the
caveat that the domain names are slightly different and there may be more than
three.
In this paper I take a developmental approach and investigate the origins of
physical causality in infancy. By looking at change and continuities in infants’
abilities it may be possible to gain a better understanding of the fundamental
aspects of causal reasoning. Another advantage of looking at young infants is
that we can gain insight to the nature of representation abilities prior to the
onset of language. If we can characterize the prelinguistic state of causal
categories and compare it to adult abilities, then we can better understand the
impact that language makes on our cognitive processes. I propose that physical
causality is evident early in infancy and it develops in a category-specific
pattern. This ability is likely to be universal among human and non-human
primates and language alters our conceptual categories.
Knowledge about physical causality - defined as the way that objects behave
and interact - is a central issue in cognitive development (Haith & Benson,
1998; Piaget, 1952, 1954; Spelke & Newport, 1998). The classic view of
object representation was Piaget’s (1952, 1954) depiction of object permanence
developing over the first 18 months of life. Qualitative shifts in cognitive
concepts about objects were central to Piaget’s theory (e.g., out of sight is
out of mind to the A not B error). More recently, theories of continuity and
elaboration are used to explain developmental changes in object representation.
Mandler describes a dual representation model where perceptual and conceptual
capacities develop in parallel (Mandler, 2004). Baillargeon (2004) suggests that
infants have some innate principles and over the first year they identify
category-specific variables that allow them to predict the outcome of events
more accurately. Spelke (2000) suggests that signature characteristics in object
representation are ontogenetic - the characteristics of early object
representation are still observable in adult object representation.
Experiments that test knowledge in preverbal infants rely on infants’
tendency to habituate to repeated events and look longer at events that they
perceive as novel or unexpected. Baillargeon and her colleagues have used
looking time methods for over twenty years to map the developmental trajectory
of infants’ knowledge about physical causality. In this time we have amassed
data that describe what infants know at different ages. More recently the
agenda has switched to finding out how infants learn about objects
(Baillargeon, 2004).
If the task before the infant is to learn about how objects behave and
interact. The solution that infants seem to use is to divide the world into
smaller categories of events and learn within each of these categories. This
strategy implies that knowledge is bounded and doesn’t generalize to other
categories. Baillargeon (2004) has revealed this pattern of learning for a wide
variety of physical events including, support, collision, occlusion, covering,
and containment.
To illustrate I will describe the developmental trajectory of containment
events in infancy. Our first study investigated whether infants had different
expectations about occlusion and containment events. To test this we recorded
infants looking times to the two displays depicted below. The perceptual
features of the two displays were very similar the only difference between them
was whether the checkered object was lowered behind the container (an occlusion
event) or inside the container (a containment event). There was an important
conceptual difference across the displays. The container event has and
unexpected outcome because the checkered object appears to pass through the side
of the container. If infants detect this difference they should look
significantly longer at the containment event compared to the occlusion event.
Two-month-old infants looked significantly longer at the containment compared to
the occlusion event suggesting that very young infants have specific
expectations about these events (Hespos & Baillargeon, 2001b).
Further experiments investigated how these initial expectations change over
time. Baillargeon’s (2004) model predicts that infants identify variables that
allow them to predict the outcomes of events more accurately over time. For
example, by 4 months of age infants have expectations about how much of an
object should become hidden when it is lowered behind an occluder (Hespos &
Baillargeon, 2001a). When infants were shown the events depicted below, they
looked significantly longer at the short compared to the tall occluder event.
To investigate whether infants generalize their expectations to perceptually
similar containment events we tested a new group of infants in conditions where
the occluders were replaced with containers (see below). We tested 4-month-old
infants in the container condition and they looked equal amounts of time at both
events suggesting that they did not discriminate the short event as more
unexpected than the tall event. Next we tested new groups of 5- and
6-month-old infants and got the same result. It wasn’t until the infants
were 7.5-months old that they looked significantly longer at the short compared
to tall containment event. These findings suggest that infants’ knowledge
about physical causality is category specific and does not generalize broadly
across perceptually similar events. Further evidence of context-specific
limitations were found for categories of containment vs. covers and covers vs.
tubes (Wang, Baillargeon, & Paterson, 2005). In addition, the same
developmental patterns have been revealed in reaching tasks testing knowledge of
occlusion, containment, and support events (Hespos & Baillargeon, 2005, in
prep).
The work of Baillargeon and her colleagues has revealed a reliable pattern in
infants’ knowledge about physical causality for categories of occlusion,
containment, support, and covering events. These findings beg the question of
what constitutes and event category boundary? One possible answer begins with
the observation that each of the events studied has a word in English that
describes the spatial relationship (occlusion - behind, containment - in,
support - on, covering – under). This is not a novel idea to linguists,
who know that languages vary in how they describe spatial
relationships(Bowerman, 1996; Levinson, 1996; Sinha & Jensen de Lopez,
2000). One well-studied contrast is between English and Korean. For example,
when Koreans say that one object joins another, they specify whether the objects
touch tightly or loosely. English speakers, in contrast, say whether one object
is in or on another. The book is on the table in English and is held
loosely by the table in Korean.
Given the cross-linguistic differences, there are two possibilities for how
these distinctions emerge. It is possible that infants do not have any
categories until after they acquire language and their language creates the
initial categories. Alternatively, languages may selectively enhance or diminish
distinctions that are already there. Given the vast array of evidence that
Baillargeon presents demonstrating that infants have expectations about physical
causality as early as 2 months of age, it seemed unlikely that infants wait for
language to create the initial categories. We decided to test this empirically
by looking at preverbal infants and their knowledge about containment events.
The experiment used 5-month-old infants that were from a monolingual,
English-speaking environment. We investigated infants’ ability to discriminate a
categorical boundary that is captured in Korean but not English. More
specifically, we tested infants’ categorization of tight-fitting versus
loose-fitting containment relations using a habituation-dishabituation paradigm.
First, infants saw a narrow cylindrical object lowered into a series of
loose-fitting, medium sized containers on a series of trials until their looking
time declined (see below). Next, the infants were presented with 6 test trials
in which the same cylindrical object was lowered, in alternation, into a wide
container (1.5 times wider, hence also a loose fit) and into a narrower
container (1.5 times more narrow, a tight fit). If infants made a
language-independent categorical distinction between tight- and loose-fitting
containment events, then they were expected to look significantly longer at the
tight-fit trials. Our results confirmed this prediction (Hespos & Spelke,
2004). Additional conditions replaced the checkered object in habituation trials
with a wider object that was a tight-fit with the container and the reverse
pattern of looking was revealed in test trials. We concluded that sensitivity to
this distinction develops in the absence of any relevant linguistic experience.
A remaining question is whether speakers lose sensitivity to the conceptual
distinctions that are not captured by the lexical semantics of their native
language. To begin to address this question, we presented the same containment
events to English-speaking adults and asked them to rate the similarity between
the habituation and test events. In contrast to the infants’ patterns of
preferential looking, the adults rated the two test events as equally similar to
the habituation event. The adults, therefore, did not appear to make the same
categorical distinction as the infants.
If the categories are not coming from linguisitic input, the question is
where do these event categories come from? One possibility is that they come
from knowledge about physical causality – the mechanical principles that govern
how objects behave and interact. Because tight- and loose-fitting containment
place different constraints on the motions of objects, it is possible that the
principles governing infants’ representations of objects and their motions could
also lead infants to categorize these spatial relationships differently. In the
first experiment, we used a paradigm similar to Baillargeon’s experiments
described above. First, infants saw a narrow cylindrical object lowered into a
wide container until their looking time declined. Next, the infants were
presented with 6 test trials that alternated between a move-separately event and
a move-together event. In the move-separately event, the cylindrical object was
lowered inside the wide container and then the container remained stationary and
the object moved back and forth inside the container (expected event). In the
move-together event, the cylindrical object was lowered inside the wide
container and then both the object and the container moved horizontally as a
unitary object (unexpected event). If infants expected the loose-fitting
container to allow the object to move with some independence then they were
expected to look longer at the move-together event. Our results confirmed this
prediction.
In a second condition, we similarly tested infants’ expectations for the
effects of motion on tight-fitting containment relations. Infants saw the same
cylindrical object lowered into a narrow container during the habituation and
test trials. In the test trials, infants saw the object inside the container
move back and forth horizontally. On alternative trials, the object and
container moved together (expected events) or separately (unexpected events). If
infants appreciated that the tight-fitting container more strongly constrains
the motion of its contained object, then infants were expected to show the
opposite looking preference from those in the loose-fitting condition and look
longer at the move-separately event compared to the move together event.
The results confirmed this prediction, 5-month-old infants have different
expectations for horizontal movement in tight- and loose-fit containment.
In summary, this series of experiments suggest an interaction between
language and physical causality. Five-month-old infants parse a continuum of the
spatial variation into categories of spatial relationships between objects.
Infants are sensitive to spatial distinctions that are lexicalized in non-native
languages. These findings stress the theme of human universals that underneath
all the things that vary across humans, (e.g, the language we speak, the
meanings we convey) are a set of perceptual and conceptual capacities that are
common to everyone and rich enough to capture the core meanings expressed by any
language. The developmental trajectory is one where infants have more
flexibility than adults because language has not influenced their causal
categories. Taken together, these findings suggest that there is ontogenetic
continuity in the development of physical causality but language may alter the
category boundaries.
The evidence for ontogenetic continuity complements evidence for phylogenetic
continuity in the capacity to represent objects and physical causality. In
particular, monkeys represent objects similarly to human infants both in
preferential looking and object search tasks (Antinucci, 1990; Hauser,
MacNeilage, & Ware, 1996). In fact monkeys progress through Piaget’s stage
sequences more rapidly than human infants. These findings fit well with the view
that basic mechanisms of object representation are consistent over much of
evolution and ontogeny, and that their expression depends in part on the
developing precision of representations and that this development occurs at
different rates for different species (Spelke, 2000).
This paper has focused on evidence for physical causality in human infants.
Could the same mechanisms be applied to other domains of knowledge? Most of the
infant data pertains to physical causality and investigates expectations about
inert objects. However, there is a growing body of research about psychological
causality in infants. Psychological causality is distinct from physical
causality in that it involves agents (e.g., people or other living things) and
the fact that these creatures can have goals and intentions that guide their
behavior.
Woodward and her colleagues have a variety of studies that show infants’
expectations about people are different than their expectations about objects
(Guajardo & Woodward, 2004; Woodward, 1998, 2003). For example, infants were
habituated to a human hand grasping a bear on a stage. The bear was on one side
of the stage and a doll was on the other side. In test trials, the position of
the bear and the doll were reversed. They measured infants’ looking time to
events where the goal (grabbing the bear) was the same or the action (grabbing
the object in a specific location) was the same. Infants looked significantly
longer when the human’s goal changed. Interestingly, when the experiment was
repeated with a mechanical arm instead of the human arm the looking pattern was
the reversed, suggesting that infants expect humans to have goal-directed
actions but mechanical arms do not have goal-directed actions (Woodward, 1998).
Further experiments demonstrate that infants will link goals with human actions
at 7 months of age but that infants do not link eye gaze with goals until 12
months of age (Woodward, 2003). Recent evidence that slightly old infants can
use eye gaze information comes from a paper that demonstrates that 15-month-old
infants succeed at a modified theory of mind task (Onishi & Baillargeon,
2005).
In conclusion I have given a brief tour of evidence for physical causality in
infancy demonstrating that as early as 2 months of age infants have expectations
about the way that objects behave and interact. In addition there are
context-specific patterns in the acquisition of physical causality. These
patterns can help us better understand the fundamental aspects of causal
reasoning. The current evidence suggests that there is ontogenetic continuity in
our causal categories, this ability may be shared with non-human primates, and
language may alter our category boundaries. There is a growing literature on the
development of psychological causality. In future research it will be
interesting to compare the developmental characteristics of physical and
psychological reasoning abilities.
References
Antinucci, F. (1990). The comparative study of cognitive ontogeny in four
primate species. In K. R. Gibson, & Parker, Sue Taylor (Ed.), "Language"
and intelligence in monkeys and apes: Comparative developmental
perspectives. (pp. 157-171). New York, NY: Cambridge University Press.
Baillargeon, R. (2004). Infants' Physical World. Current Directions in
Psychological Science, 13(3), 89-94.
Bowerman, M. (1996). Learning how to structure space for language: A
crosslinguistic perspective. In (1996). Peterson, Mary A (Ed), et al. Bloom,
Paul (Ed), Language and space. (pp.385 436). Cambridge, MA, US: The MIT Press.
Guajardo, J. J., & Woodward, A. L. (2004). Is Agency Skin Deep? Surface
Attributes Influence Infants' Sensitivity to Goal-Directed Action. Infancy,
6(3), 361-384.
Haith, M. M., & Benson, J. B. (1998). Infant Cognition. In W. Damon,
Kuhn, D., & Siegler, R. S. (Ed.), Handbook of Child Psychology:
Cognition, perception, and language (5 ed., Vol. 2). New York: Wiley.
Hauser, M., MacNeilage, P., & Ware, M. (1996). Numerical
representations in primates. Paper presented at the Proceedings of the
National Academy of Sciences of the United States of America.
Hespos, & Baillargeon, R. (2005). Décalage in infants' knowledge about
occlusion and contaiment events: Converging evidence from action tasks.
Cognition, Manuscript accepted for publication.
Hespos, & Baillargeon, R. (in prep). "Which toy can I get?": Converging
evidence from action tasks for violations-of-expectation findings.
Hespos, S., & Spelke, E. (2004). Conceptual precursors to language.
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Hespos, S. J., & Baillargeon, R. (2001a). Infants' knowledge about
occlusion and containment events: A surprising discrepancy. Psychological
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Hespos, S. J., & Baillargeon, R. (2001b). Reasoning about containment
events in very young infants. Cognition, 78(3), 207-245.
Levinson, S. C. (1996). Relativity in spatial conception and description. In
S. C. Levinson & J. J. Gumperz (Eds.), Rethinking linguistic
relativity. New York: Cambridge University Press.
Mandler, J. M. (2004). The foundation of mind: Origins of conceptual
thought. New York: Oxford University Press.
Onishi, K., & Baillargeon, R. (2005). Do 15-month-old infants understand
false beliefs? Science, 308, 255-258.
Piaget, J. (1952). The origins of intelligence in children: Oxford,
England: International Universities Press. (1952).
Piaget, J. (1954). The construction of reality in the child. Oxford,
England: Basic Books.
Sinha, C., & Jensen de Lopez, K. (2000). Language, culture and the
embodiment of spatial cognition. Cognitive Linguistics, 11(1-2),
17-41.
Spelke, E., & Newport, E. L. (1998). Nativism, empiricism, and the
development of knowledge. In R. E. Learner (Ed.), Handbook of child
psychology: Theoretical models of human development (Vol. 5th Ed Vol. 1).
New York: Wiley.
Spelke, E. S. (2000). Core knowledge. American Psychologist, 55(11),
1233-1243.
Wang, S. h., Baillargeon, R., & Paterson, S. (2005). Detecting continuity
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looker and object. Developmental Science, 6(3), 297-311. |
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Agent-based origin of causality
(0 réponses)
Giyoo Hatano & Kayoko Inagaki, 20 mai 2005 14:57 UT
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Phonology and pruning
(0 réponses)
Anne Reboul, 20 mai 2005 9:07 UT
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Could language widen as well as restrain categorization?
(1 réponse)
Anne Reboul, 12 mai 2005 16:22 UT
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An evolved modular program of thought 
Eric Baum
11 mai 2005 22:00 UT
The data in Hespos's excellent paper fits nicely within the computational picture discussed in What is Thought?(MIT Press 2004). WIT? models thought as the execution of a hierarchic program built on modules that exploit underlying structure of the world (for example causality) to reason and act. Evolution encoded into the genome programs that interact with sensory data to build such modules. These modules then provide enormous inductive bias that allows further elaboration of the program, building new programs that call previous modules as subprograms. Language mainly involves labelling of preexisting computational modules that exploit real (Platonic) structure.For example, a word like "on" labels/invokes code that has certain properties because it exploits certain real (roughly Platonic) structure. Language, by virtue of allowing newly discovered programs to be communicated, allows cumulative program construction over generations.While apes can discover new meaningful programs over a lifetime, humanity has made cumulative progress in discovering and refining more powerful modules built on top of the submodules coded in the genome.
The results Hespos surveys are consistent with this picture, indicating that low level modules exploiting causality are essentially innate, and the same flow of development is shared with apes. It's interesting, and completely consistent, that some modules for computing and exploiting containment develop in humans a few months slower than modules for computing occlusion.
There is no clear divide between learned and programmed behavior. Consider the "development" of visual cortex. For stereopsis, the width between the eyes must be "learned". It's easy to imagine how the DNA program for this might evolve. The genome mutates, and a program that is effective in the chemical environment of the cells is selected as fit. The chemical environment within neurons, however, depends on the sensory environment. To be fit the DNA must program development so that, in the sensory environment, the circuitry that arises adjusts to the changing width between the eyes. But similar mechanisms can be imagined for "learning" more complex things, such as social behavior, languages, and causal reasoning.
The program underlying thought must be fairly complex, and the big problem is how it can be discovered. If low level modules are genetically encoded in such a way that later meaningful modules can be short chunks of code that call appropriate low level modules, it becomes much easier to discover them, to the point at which the learning may be so biased in that it becomes reliable and fast.
One characteristic that often signals genomic involvement is a critical period, during which the relevant stimulus must be presented if the skill is to be learned, as have been observed for celestial navigation by birds, social behavior in monkeys, and grammar learning in humans. This raises the following (potentially answerable) questions: would a monkey raised from birth in a sensory deprivation tank progress through Piagettian stages, and normal development of understanding of occlusion and containment? If not, would it be able to learn them after being removed at an advanced age?
Eric Baum
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