BISC: Prof' Zadeh's Lecture

From: Masoud Nikravesh (nikravesh@eecs.berkeley.edu)
Date: Thu Apr 19 2001 - 11:39:23 MET DST

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    Berkeley Initiative in Soft Computing (BISC)
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    A Computational Theory of Perceptions Based on Fuzzy Logic

    Lotfi A. Zadeh*
    April 19, 2001
    4:00-5:00pm
    Wurster Hall
    Room 485

    ABSTRACT

          Humans have a remarkable capability to perform a wide variety of
    physical and mental tasks without any measurements and any computations.
    Familiar examples are parking a car, driving in city traffic, playing
    golf, cooking a meal, and summarizing a story. In performing such tasks,
    humans use perceptions of time, direction, speed, shape, possibility,
    likelihood, truth, and other attributes of physical and mental objects.
    Reflecting the bounded ability of the human brain to resolve detail,
    perceptions are intrinsically imprecise. In more concrete terms,
    perceptions are f-granular, meaning that (l) the boundaries of perceived
    classes are unsharp and (2) the values of attributes are granulated,
    with a granule being a clump of values (points, objects) drawn together
    by indistinguishability, similarity, proximity, and function. For
    example, the granules of age might be labeled very young, young, middle
    aged, old, very old, and so on.

          F-granularity of perceptions puts them well beyond the reach of
    traditional methods of analysis based on predicate logic or probability
    theory. The computational theory of perceptions (CTP), adds to
    scientific theories a capability to compute and reason with
    perception-based
    information. The point of departure in CTP is the assumption that
    perceptions are described by propositions drawn from a natural language;
    for example, it is unlikely that there will be a significant increase in
    the price of oil in the near future.

          In CTP, a proposition, p, is viewed as an answer to a question,
    and the meaning of p is represented as a generalized constraint. To
    compute with perceptions, their descriptors are translated into what is
    called the generalized constraint language (GCL). Then, goal-directed
    constraint propagation is utilized to answer a given query. A concept
    that plays a key role in CTP is that of precisiated natural language
    (PNL).

          In large measure, architecture is concerned with perceptions. The
    computational theory of perceptions may suggest new directions in
    archigectural design.

    _______________________________________________________________________
    * Professor in the Graduate School and Director, Berkeley Initiative in
    Soft Computing (BISC). E-mail: zadeh@cs.berkeley.edu. Tel: 642-4959.

    --
    Professor in the Graduate School, Computer Science Division
    Department of Electrical Engineering and Computer Sciences
    University of California
    Berkeley, CA 94720 -1776
    Director, Berkeley Initiative in Soft Computing (BISC)
    

    Address: Computer Science Division University of California Berkeley, CA 94720-1776 Tel(office): (510) 642-4959 Fax(office): (510) 642-1712 Tel(home): (510) 526-2569 Fax(home): (510) 526-2433, (510) 526-5181 zadeh@cs.berkeley.edu http://www.cs.berkeley.edu/People/Faculty/Homepages/zadeh.html -------------------------------------------------------------------- If you ever want to remove yourself from this mailing list, you can send mail to <Majordomo@EECS.Berkeley.EDU> with the following command in the body of your email message: unsubscribe bisc-group or from another account, unsubscribe bisc-group <your_email_adress>

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