Psy 416: Reasoning
and Problem Solving Fall 1998
Chapter 7: Mental Chronometry
This chapter presents a series of studies on different types
of problems where the primary focus is on how long different processes
take. Implicit in the studies is the belief that the mind is basically
a computational device, and computations take time. If we can figure out
how much time different tasks take, perhaps we can get some insights into
the algorithms used by the problem solver to solve the problems. In addition
creative experimentation gives (tentative) answers to how some of these
algorithms may be implemented. We might answer the question "What are the
mechanisms that compute the algorithms?"
The two primary methods of measuring how long processes
take are Reaction Time experiments and Tachistoscopic exposure
time experiments. By measuring how long it takes to do different tasks,
or by measuring how good performance is for different tasks after a limited
amount of time to work on it, a researcher can generate theories about
what underlying processes are involved. A large amount of cognitive research
uses variants of these methods.
Donders and the subtractive method
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Simple RT
RT=to
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Go--no go RT
RT= to+a
a=stimulus identification time
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choice RT
RT= to+a+b b=response selection
time
Other reaction time studies
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Posner and physical and name matching
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Sternberg and memory sampling,
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Shepard and mental rotation
(Mayer's view of rotation as steps vs. a rotation)
Pylyshyn's criticism of rotation, argument for underlying
propositional format
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Gough and sentence verification, parsing a sentence
to obtain its meaning
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Clark and Chase and sentence verification, propositions and
comparative equivalence operations
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Greenspan and Segal and sentence evaluation
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Lawson and sentence evaluation: using analogical representations
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Tanenhaus and sentence evaluation: measuring eye movements
and interaction between linguistic and perceptual phenomena
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Olson & Filby, actives, passives and focus
The view of mental chronometry is that by studying differences
in performance under different conditions you can find out quite a bit
about what the mental processes are in different complex cognitive acts.
The models are conceptually compatible with the general
information processing models and thus with computational models. One can
simulate these processes. Such modeling is one of the major pastimes of
many AI researchers.
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