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Output details

11 - Computer Science and Informatics

University of Salford

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Output 47 of 49 in the submission
Article title

Using Wittgenstein’s Family Resemblance Principle to Learn Exemplars

Type
D - Journal article
Title of journal
Foundations of Science
Article number
-
Volume number
13
Issue number
1
First page of article
67
ISSN of journal
1572-8471
Year of publication
2007
URL
-
Number of additional authors
3
Additional information

<24>To the best of our knowledge, this is the first and only work to connect Wittgenstein’s notion of family resemblance with the theoretical foundations provided by Bayesian networks as a basis for an incremental system for learning exemplars.It's significance was recognised in a UKCRC Grand Challenge: “Socially Sensitive Computing: A Necessary Paradigm Shift for Computer Science" ; that cited early versions of this work as part of an argument that a paradigm shift, of the kind made by Wittgenstein's notion of family resemblance, was necessary to model the changing nature of concepts in order to develop socially sensitive computing.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-