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Situation Models and Embodied Language Processes

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Title: Situation Models and Embodied Language Processes


1
Situation Models and Embodied Language Processes
  • Franz Schmalhofer
  • University of Osnabrück / Germany
  • Memory and Situation Models
  • Computational Modeling of Inferences
  • What Memory and Language are for
  • Neural Correlates
  • Integration of Behavioral Experiments and Neural
    Correlates (ERP fMRI) by Formal Models

2
Theories of Knowledge
  • Prior to the twentieth century knowledge was
    assumed to be perceptual
  • Past several decades fields of cognition and
    perception have diverged.
  • Perceptual approaches viewed as untenable for
    conceptual systems.
  • Logic, statistics, programming languages have
    inspired amodal theories different from
    perceptional characteristics

3
Symbol Grounding
  • Illustration for computational theories of
    language understanding
  • The Chinese room (Searle, 1980)
  • - getting Chinese input symbols
  • - manipulation of symbols only according to their
  • shapes ( no meanings/no understanding )
  • returning Chinese symbols as output
  • The symbol grounding problem (Harnad, 1990)
  • ?cognition cannot be just symbol manipulation

4
Perceptual Symbol Systems (Barsalou, 1999)
  • WRONG Perceptual systems pick up information
    from the environment and pass it on to separate
    systems that support the various cognitive
    functions. (i.e. language, memory, and thought)
  • CORRECT Cognition is inherently perceptual,
    sharing systems with perception at both the
    cognitive and the neural levels.
  • No divergence between cognition and perception

5
How we got the wrong ideas
  • Behaviorist attacks on mentalism. (Watson)
  • Similar attacks from ordinary language philosophy
    (Wittgenstein)
  • Continuing attacks after the cognitive
    revolution.
  • Development of logic, programming languages,
    statistical representation
  • Contributions of amodal symbol systems
  • Formalizable, runnable, applicable
  • Highlight important computational properties of
    productivity, proposition, structure, etc.

6
Assumption Cognition is Grounded in Perception
  • A common representational system underlies
    perception and cognition.
  • From Aristoteles to Locke to Kant, theorists over
    the last 2000 years have viewed cognition as
    imagistic in nature.
  • Image-based theories disappeared as behaviorists
    and language philosophers began to avoided to
    talk about mental states.

7
How is cognition grounded in perception?
  • During perceptual experience, association areas
    in the brain capture bottom-up patterns of
    activation in sensory-motor areas and in a
    top-down manner, association areas partially
    reactivate sensory-motor areas to implement
    perceptual symbols.
  • The storage and reactivation of perceptual
    symbols operates at the level of perceptual
    components--not at the level of holistic
    perceptual experiences.
  • Use of selective attention, schematic
    representations of perceptual components are
    extracted from experience and stored in memory

8
Properties of amodal symbol system
  • As amodal symbols are transduced from perceptual
    states, they enter into larger representational
    structures.
  • In turn, these structures support all of the
    higher cognitive functions, including knowledge,
    memory, language and thought.
  • Across the cognitive sciences, standard theories
    of knowledge adopt the assumptions, so called
    amodal symbol systems.
  • Information in the physical world produces neural
    states in perceptual systems.
  • A transduction process takes these states as
    input, produces descriptions of them in a
    completely new representation language.

9
4. Amodal symbol system
  • Amodal symbol representations
  • Perceptual states are transduced into a
    completely new representational system that
    describes these states amodally.
  • The internal structure of these symbols is
    unrelated to the perceptual state that produced
    them.

10
Problems with amodal symbol system
  • No account for the relation between cognition and
    perception.
  • No empirical evidence that amodal systems exist.
  • Transduction process that maps perceptual states
    into amodal symbols remains unclear.
  • Converse of transduction problem no account how
    perceptual states map to amodal symbols.
  • Too powerful amodal symbol systems are
    unconstrained, offer little insight into the
    phenomena.

11
Resurgence of perceptual symbol system
  • Theorists develop perceptual views that are
    provocative, powerful.
  • It provides a natural account of the relation
    between cognition and perception.
  • An obvious account exists of how perceptual
    symbols are implemented in the brain.
  • No need for a major leap in evolution
  • Provide natural mechanisms for representing space
    and time
  • Make clear a priori predictions that are
    falsifiable
  • Growing empirical evidence for perceptual symbols

12
Basic assumption of perceptual views
  • States arise in sensory-motor systems during
    contact with the physical world.
  • traditionally viewed as conscious states
  • but will be viewed here primarily as neural
    states
  • these sensory-motor states are stored in memory
    to some extent (utilizing sensory-motor systems)
  • stored perceptual states later support higher
    cognitive processes
  • during memory, language, and thought
  • may establish reference back into the physical
    world

13
Representation in Perceptual Symbol Systems
  • Subsets of perceptual states in sensory-motor
    systems are extracted.
  • The internal structure of these symbols is
    therefore
  • modal and
  • analogically related to the perceptual state that
    produced them.

14
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15
Core assumptions about perceptual symbols
  • Perceptual symbols are schematic.
  • Perceptual symbols are multimodal
  • Perceptual symbols enter into simulation
    competence.
  • Perceptual symbols are productive.
  • Perceptual symbols represent situation
    components.
  • Perceptual symbols also represent abstract
    concepts

16
Experiments
  • Spivey, M.J. et al. (2000) Eye movements during
    comprehension of spoken scene descriptions.
  • Zwaan, R.A., Stanfield, R. Y. Yaxley, R. H.
    (2002) Do language comprehenders routinely
    represent the shapes of objects. Psychological
    Science, 13, 168-171.
  • Glenberg A. M. Kaschak M. P. (2002) Grounding
    language in action. Psychonomic Bulletin
    Review, 9, 558-565

17
Zwaan (2004) The immersed experiencer
C construal T time S spatial region
(personal, action, vista) P perspective F
focal entity R relation B background entity f
feature
18
Embodied Language Comprehension
  • Taylor and Tversky (1992) language is a
    surrogate for experience
  • Goal of language comprehension creation of an
    embodied mental model
  • In the brain words activate experiences with
    their referents (Pulvermüller)
  • Perceptual simulation of a described object or
    situation construction of a situation model

19
Visual field
  • Fovea
  • Para-fovea
  • Plateau
  • Periphery
  • Temporal monocular

20
From the Retina to V1
nasal retinal fibres
temporal retinal fibres
21
Visual Pathways
Vision for Action
Vision for Perception
Goodale Humphrey (1998)
22
Perceptual Experience and Perceptual States
  • Perceptual experiences activate association areas
    in the brain which capture
  • bottom-up patterns of activation in sensory-motor
    areas.
  • top-down patterns, association areas partially
    reactivate sensory-motor areas to implement
    perceptual symbols.
  • Perceptual States
  • Arise in sensory-motor systems with two
    components
  • Unconscious neural representation of physical
    input
  • Optional conscious experience
  • Related perceptual symbols combine to form
    simulators that allow the cognitive system to
    construct specific simulations of an entity or
    event in its absence

23
Perceptual symbols
  • Are patterns that rise in hierarchical feature
    maps of sensory-motor systems during perception
    and action.
  • May or may not be topographical captured by
    association areas (Damasio, 1989)
  • From local, to poly-sensory and to frontal
  • Tuned for specific combinations of features
  • Activating an associative pattern reinstates
  • not necessarily complete nor veridical but
    partial records of the neural states that
    underlie perception
  • Is dynamic, not discrete
  • not necessarily representative of specific
    individuals
  • potentially indeterminate

24
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25
Perceptual symbols are NOT
  • like physical pictures
  • entire perceptual states
  • If they were, the componential character of
    conceptual system would not be feasible
  • mental images or conscious experience
  • states in neural systems

26
Simulators
  • Perceptual symbols of the same category are
    integrated together in a single system
    (simulators).
  • A simulator
  • An organized system of perceptual symbols that
    can produce simulations of a category in the
    absence of physical exemplars.
  • Typically contains perceptual symbols extracted
    from many members of category on many modalities.
  • Composed of frames, the simulations that the
    frame produces.

27
Simulators and Simulations
  • Specific runs of a simulator that reenact the
    multimodal experience of a category
  • Utilize a small subset of the information in a
    simulator
  • Infinite many simulations is possible.
  • Simulations are always partial and sketchy, never
    complete.
  • A simulator goes beyond a simple empirical
    collection of sense impressions.
  • A huge set of simulations that include the range
    of experience associated with a category
  • i.e. the representation of a type, not a token

28
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29
  • Simulations as
  • vehicles.
  • This figure is showing
  • some partial frame
  • for car, it illustrates
  • how the frame has
  • changed dynamically.

30
Categorization by construal
  • When an entity is categorized, the best fitting
    simulator is found
  • The simulator runs a simulation that provides a
    good fit to the entity
  • Some examples
  • Hearing a bark and simulating a dog
  • Seeing a growling dog and simulating the
    experience of being attacked
  • Smelling food and simulating what it is

31
Concepts and Offline Conceptualization
  • Concepts and Simulators
  • A concept is equivalent to a simulator.
  • If we have an appropriate simulator of something,
    then it can be said that we understand the
    concept.
  • Goal of human learning is to establish
    simulators.
  • Offline conceptualizing during memory, language
    and thought
  • Simulations provide inferences about likely
    properties of entities in their absence
  • The simulations run in sensory-motor systems and
    they can be mapped later to perceived entities
  • E.g. remembering ones parking spot, finding the
    referent of a linguistic description.

32
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33
Summary I Perceptual Symbol Systems
  • Perceptual states arise in the sensory-motor
    system.
  • A subset of the state is extracted by selective
    attention and stored in long-term memory.
  • This perceptual memory can function as a symbol
    entering into symbol manipulation.
  • Collections of the perceptual symbols comprise
    our conceptual representations.
  • The structure of a perceptual symbol corresponds
    (at least somewhat) to the perceptual state that
    produced it.
  • Note this does not claim that a perceptual
    symbol corresponds to the physical world.

34
Summary II Perceptual Symbol Systems
  • A very different approach to knowledge in the
    form of perceptual symbol systems.
  • Perceptual states are not transduced into a
    completely new representational language, instead
    subsets of perceptual states are extracted to
    function symbolically and support the higher
    cognitive functions.
  • Reference Barsalou, L. W. (1999). Perceptual
    Symbol Systems. Behavioral and Brain Sciences
    22 (507-569).
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