[logic-ml] チュートリアル "Vagueness and Fuzzy Logic" のお知らせ

[Shunsuke Yatabe]

みなさま

（重複して受け取られた場合はご容赦ください）

今年の１0月に東京で開催される LENLS 10 (Logic and Engineering of Natural Language
Semantics 10) 国際ワークショップのチュートリアル・コースとして、以下を開催することとなりました。このチュートリアルは、LENLS参加登録者に限らず、興味をお持ちの方はどなたでもご参加いただけます。皆様のご参加をお待ちしております。

矢田部俊介（西日本旅客鉄道／京都大学）


Tutorial Lecture:
=================
  On October 26th (Sat), there will be a tutorial lecture at
  Ochanomizu University.

Lecturer: Nicholas J.J. Smith (The University of Sydney)

Venue: Ochanomizu UniversityFaculty of Science, Building 3, Room
207-209 (2nd Floor)
  (http://www.ocha.ac.jp/en/access/index.html)

Time Table:
  10:00-12:00 Session 1
  12:00-14:00 Lunch
  14:00-16:00 Session 2

Title: Vagueness and Fuzzy Logic

Abstract
--------
The aim of this tutorial is to give a positive appraisal of the
prospects for a fuzzy logic based solution to the problems of
vagueness. The tutorial will be divided into the following sections
(time permitting).

I. An overview of the major existing theories of vagueness
(epistemicism, additional truth values, truth gaps, supervaluationism,
plurivaluationism).

II. The problem of defining vagueness. Shortcomings of previous
definitions (e.g. borderline cases, semantic indeterminacy,
tolerance). Proposal: vagueness as closeness. If this proposal is
correct then the correct theory of vagueness must involve degrees of
truth.

III. Fuzzy logic and the problem of artificial precision. Problems
with existing solutions (fuzzy epistemicism, fuzzy metalanguage,
blurry sets). Proposed solution: fuzzy plurivaluationism -- a theory
that combines degrees of truth with semantic indeterminacy of the sort
found in 'supervaluationist' (more correctly: plurivaluationist)
approaches.

IV. Fuzzy logic and the problem of truth-functionality. It has been
argued that fuzzy logic based theories of vagueness are incompatible
with data about the assertability of compound propositions in the
presence of borderline cases. A negative assessment of these arguments
will be given.

V. Integrating the fuzzy theory of vagueness into the wider
theoretical landscape. Case study: degrees of belief. In particular,
the relationship between degrees of belief arising from uncertainty
(ignorance) and degrees of belief arising from vagueness.