Answer to question 134362, "what's in your mind?", by mcsemorgan-ga.
*** There is an online library of Barsalou's publications:
Barsalou Online Papers
http://userwww.service.emory.edu/~barsalou/Publications/online.html
The complete text of the paper you are seeking can be found in this
online library: "Barsalou L. W. (1999). Perceptual symbol systems.
Behavioral and Brain Sciences, 22, 577-609."
http://userwww.service.emory.edu/~barsalou/Papers/PSS_Files/pss_98.html
*** The text of Barsalou's response to peer reviews and comments is
also available:
Barsalou, L.W. (1999). "Perceptions of perceptual symbols". This is
Barsalou's response to commentaries on "Perceptual symbol systems,"
Behavioral and Brain Sciences, 22, 633-660.
http://userwww.service.emory.edu/~barsalou/Papers/PSS_Response_Files/pss_response_99.pdf
The conclusion section of this paper is itself a summary of Barsalou's
effort to integrate representation, statistical processing, and
embodiment into a unified theory of human knowledge.
*** A number of summaries/commentaries of Barsalou's work have been
published. The following are available online:
"Commentary on L.W. Barsalou's "Perceptual symbol systems"" by Liane
Gabora, Center Leo Apostel for Interdisciplinary Studies (CLEA), Free
University of Brussels (VUB), Behavioral and Brain Sciences 22 (4):
577-660. http://www.vub.ac.be/CLEA/liane/Publications.htm
"Individuals are Abstractions", peer commentary on Lawrence Barsalou's
target article "Perceptual Symbol Systems", Behavioral and Brain
Sciences, 22,4:577-660, by James R Hurford, Language Evolution and
Computation Research Unit, Department of Linguistics, University of
Edinburgh, http://www.ling.ed.ac.uk/~jim/commentaries.html
"Independent Discovery of the Embodiment of Cognition by Social
Psychologists", Cognitive Science Society Newsletter, September 2001,
by Michael Spivey, Department of Psychology, Cornell University,
http://www.cognitivesciencesociety.org/newsletter/Sept01/hotstuff.html
*** Barsalou himself provides summaries of his work:
"The Human Conceptual System", Sophia Summer School in Cognitive
Science, New Bulgarian University, July 2000, by Lawrence W. Barsalou
(see course abstract).
http://userwww.service.emory.edu/~barsalou/Courses/2000/Sophia/conc_sys_syllabus.html
"Lawrence W. Barsalou Research Interests", summarized (in his own home
page) into the following categories:
-- Perceptual Bases of Cognition
-- Situated Conceptualization
-- Constructing Categories to Achieve Goals
-- Dynamic Representations of Concepts
-- Frames
-- Category Learning
-- Event Memory
-- Future Research
http://userwww.service.emory.edu/~barsalou/Research/research.html
*** My own "perception" and summary of Barsalou's work:
Lawrence W. Barsalou is developing a theory of human knowledge, based
on perceptual bases of cognition, situated conceptualization, dynamic
representations of concepts, frames, category learning, and event
memory. These same issues have been approached in artificial
intelligence (AI) research for the purpose of eliciting knowledge
(from knowledge domain experts) and integrating this knowledge for
access, understanding, and use by knowledge workers.
Artificial intelligence is limited to what can be captured and
manipulated (via software) in a digital computer, and therefore most
AI research until now has been computer-driven, as opposed to
human-driven. The increasing volume and complexity of information
requirements, and changing business conditions (higher staffing costs,
shorter time schedules) are leading many individuals and institutions
-- specially small businesses -- to outsource their information
research workload (indeed, this is one reason for Google Answers!).
Nevertheless, the amount of integrated knowledge available to the
knowledge worker is still very limited.
In addition to locating and retrieving information, it is becoming
increasingly necessary to architect and integrate information in such
a way that it becomes usable (and reusable) as "knowledge". This is
specially true when decisions entail consideration of information from
several knowledge domains, e.g., business, engineering, economics,
ecology, psychology, etc. There are a number of techniques that can be
used by the "knowledge engineer" in order to architect and integrate
cross-disciplinary information. These include taxonomies, interaction
matrices, causal-loop diagrams, etc. The result is a coherent
synthesis of all pertinent pieces of information, including
inter-dependencies.
There is a need for current research on cognitive and behavioral
science (such as Barsalou's) to converge with developments in
artificial intelligence (AI), knowledge engineering (KE), and
knowledge management (KM). Else, much of the information and
knowledge in computer databases and human brains will remain
unreachable and unused.
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I hope the information in this answer, including my summary and
attempt to link cognitive science to knowledge management, will be
useful to you.
If you have any questions, or if you need further information, please
request a clarification before rating this answer. In fact, I would
be grateful to get your comments on the idea of applying cognitive
science to enhance knowledge engineering and management.
Best regards,
pelican-ga |
