Contribute to Ongoing Psyc Commentary on Green

Stevan Harnad harnad at coglit.soton.ac.uk
Mon Apr 27 09:24:08 EDT 1998


There is lively Commentary on Green's target article appearing
in Psycoloquy, a refereed electronic journal sponsored by the American
psychological Association. Further Commentary is invited.
(All submissions are refereed.)

URLs:   US: http://www.princeton.edu/~harnad/psyc.html
        UK: http://www.cogsci.soton.ac.uk/psyc

Address for submitting commentaries:
        psyc at pucc.princeton.edu

Instructions at bottom of this message, preceded by latest commentary.

Green, CD. Are Connectionist Models Theories of Cognition?
PSYCOLOQUY 9(04) Tuesday 14 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.04.connectionist-explanation.1.green

Orbach, J. Do Wires Model Neurons?
PSYCOLOQUY 9(05) Wednesday 15 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.05.connectionist-explanation.2.orbach

O'Brien, GJ. The Role of Implementation in Connectionist Explanation.
PSYCOLOQUY 9(06) Sunday 19 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.06.connectionist-explanation.3.obrien
   
Green, CD. Lashley's Lesson Is Not Germane.
Reply to Orbach
PSYCOLOQUY 9(07) Wednesday 22 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.07.connectionist-explanation.4.green

Green, CD. Problems with the Implementation Argument.
Reply to O'Brien
PSYCOLOQUY 9(08) Saturday 25 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.08.connectionist-explanation.5.green

Young, ME. Are Hypothetical Constructs Preferred Over Intervening
Variables?
PSYCOLOQUY 9(09) Monday 27 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.09.connectionist-explanation.6.young

Grainger, J. & Jacobs, AM.  Localist Connectionism Fits the Bill
PSYCOLOQUY 9(09) Monday 27 April 1998
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.10.connectionist-explanation.7.grainger


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psycoloquy.98.9.10.connectionist-explanation.7.grainger Mon 27 Apr 1998
ISSN 1055-0143                  (6 paragraphs, 8 references, 153 lines)
PSYCOLOQUY is sponsored by the American Psychological Association (APA)
                Copyright 1998 Jonathan Grainger

                LOCALIST CONNECTIONISM FITS THE BILL
                Commentary on Green on Connectionist-Explanation

                Jonathan Grainger
                Centre de Recherche en Psychologie Cognitive, CNRS
                Universite de Provence
                Aix-en-Provence
                France
                grainger at newsup.univ-mrs.fr

                Arthur M. Jacobs
                Dept. of Psychology
                Philips University of Marburg,
                Marbug, Germany
                jacobsa at mailer.uni-marburg.de

    ABSTRACT: Green (1998) restates a now standard critique of
    connectionist models: they have poor explanatory value as a result
    of their opaque functioning. However, this problem only arises in
    connectionist models that use distributed hidden unit
    representations, and is NOT a feature of localist connectionism.
    Indeed, Green's critique reads as an appeal for the development of
    localist connectionist models as an excellent starting point for
    building a unified theory of human cognition.

1. First, if we agree that theory development in psychological science
is ready for the shift from prequantitative verbal-boxological modeling
toward more formal modeling efforts, then the kinds of questions we
should be asking are: What kind of quantitative modeling is
appropriate? How should we evaluate its appropriateness? In other
words, the verbal theories of human memory discussed by Green (1998)
are not a serious alternative to whatever connectionism might offer.
They are at best a starting point for developing more formal accounts
of human memory. We have recently argued that localist connectionism
provides a promising framework for such an endeavor (Grainger & Jacobs,
1998).

2. Green (1998), as well as many other critics of connectionism,
appears to use the term connectionism as synonymous with trainable
networks with hidden units (often called PDP models, and typically
trained with backpropagation, Rumelhart, Hinton, & Williams, 1986).
Many connectionist models do not include hidden units. Some of these
are trainable (with Hebbian learning, for example), and some are
hardwired (e.g., McClelland & Rumelhart's, 1981, interactive activation
model). We refer to any connectionist model in which all processing
units can be unambiguously assigned a meaningful interpretation as
"localist connectionist." Note that, as in all connectionist models, all
processing units in localist connectionist models are identical; it is
only their position in the network that guarantees their unique
interpretation. The modeler can artificially label each of these units
in order to facilitate interpretation of network activity.

3. Grainger and Jacobs (1998) analyzed the advantages of adopting
a localist connectionist approach as opposed to the currently more
popular PDP approach. Here we will discuss only those points relevant
to the issues raised by Green (1998). Green identifies the close
connection between theoretical and observable entities as a critical
feature of traditional scientific theories. One must be able to link
transparently the theoretical entities of the theory to the observable
entities in the target world in order to achieve explanatory adequacy.
Without examining the extent to which this is fails to be a feature of
PDP models, it should be clear from the above discussion that localist
connectionist models do provide this transparent link. Units in
localist connectionist models do refer to relatively uncontroversial
aspects of the target world. They represent the categories (such as
letters and words) that the brain has learned from repeated exposure to
the environment.

4. As noted by Jacobs, Rey, Ziegler, and Grainger (1998), transparency
will always tend to diminish as models become more complex. Jacobs et
al. conclude, however, that algorithmic models of the localist
connectionist variety may offer the best trade-off between
clarity/transparency and formality/precision. It is the increased level
of precision that allows localist connectionist models to achieve
greater descriptive adequacy (Jacobs & Grainger, 1994) without
sacrificing explanatory adequacy.

5. Apart from greater explanatory and descriptive adequacy, localist
connectionist models offer a simple means of quantifying pre-existing
verbal-boxological models that have already stood the test of extensive
empirical research. Referring to this point, Page and Norris (1998)
speak of a symbiosis between verbal theorizing and quantitative
modeling. Furthermore, the principle of nested modeling has been
readily applied with localist connectionist models. Adopting this
approach facilitates the process of model-to-model comparison.
Models differing by a single feature (e.g., interactivity, Jacobs &
Grainger, 1992), can be compared, and different variants of the model
can compete in strong inference studies (e.g., Dijkstra & van Heuven,
1998).

6. Finally, localist connectionist models, using the same simple
processing units and activation functions, provide a unified
explanation for phenomena observed in the different subdomains of human
cognition. The general principles that govern processing in all
localist models (e.g., similarity based parallel activation, lateral
inhibition) can also be isolated and analyzed in an easily
interpretable manner (see e.g., Grainger & Jacobs, in press). We
therefore conclude that localist connectionism provides an excellent
starting point for the development of a unified theory of human
cognition.

REFERENCES

Dijkstra, T. & van Heuven, W.J.B. (1998). The BIA model and bilingual
word recognition. In J. Grainger & A.M. Jacobs (Eds.), Localist
connectionist approaches to human cognition. Mahwah, NJ.: Erlbaum.

Grainger, J. & Jacobs, A.M. (1998). On localist connectionism and
psychological science. In J. Grainger & A.M. Jacobs (Eds.), Localist
connectionist approaches to human cognition. Mahwah, NJ.: Erlbaum.

Grainger, J. & Jacobs, A.M. (1998). Temporal integration of information
in orthographic priming. Visual Cognition, in press.

Green, CD. (1998) Are Connectionist Models Theories of Cognition?
PSYCOLOQUY 9(4)
ftp://ftp.princeton.edu/pub/harnad/Psycoloquy/1998.volume.9/
psyc.98.9.04.connectionist-explanation.1.green

Jacobs, A.M. & Grainger, J. (1992). Testing a semistochastic variant of
the interactive activation model in different word recognition
experiments. Journal of Experimental Psychology: Human Perception and
Performance, 18, 1174-1188.

Jacobs, A. M., & Grainger, J. (1994). Models of visual word
recognition: Sampling the state of the art. Journal of Experimental
Psychology: Human Perception and Performance, 20, 1311-1334.

Jacobs, A.M., Rey, A., Ziegler, J.C, & Grainger, J. (1998). MROM-P: An
interactive activation, multiple read-out model of orthographic and
phonological processes in visual word recognition. In J. Grainger &
A.M. Jacobs (Eds.), Localist connectionist approaches to human
cognition. Mahwah, NJ.: Erlbaum.

McClelland, J. L. & Rumelhart, D. E. (1981). An interactive activation
model of context effects in letter perception: Part I. An account of
basic findings. Psychological Review, 88, 375-407.

Page, M. & Norris, D. (1998). Modeling immediate serial recall with a
localist implementation of the primacy model. In J. Grainger & A.M.
Jacobs (Eds.), Localist connectionist approaches to human cognition.
Mahwah, NJ.: Erlbaum.

Rumelhart, D.E., Hinton, G.E. & Williams, R.J. (1986). Learning
internal represenatations by error propagation. In D.E. Rumelhart, J.L.
McClelland, & the PDP research group, Parallel distributed processing:
Explorations in the microstructure of cognition (Vol. 1). Cambridge,
MA: Bradford Books.

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