Estimating Semantic Content: An A Priori Approach

International Journal of Intelligent Systems 3 (1):35-43 (1988)
  Copy   BIBTEX

Abstract

Gives a general method as well as some results (inspired by Asimov, 1951; since discovered to be in Bar-Hillel and Carnap [several versions; Charles Parsons referred me to /Language and Information/]) to recover meaning (eventually automatically) from logical form/logical probability, which are mirror images. (Sets are taken as extensions of predicates, and knowledge of the sizes is needed; to that extent the method is a posteriori).

Other Versions

No versions found

Links

PhilArchive

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

The A Priori Meaningfulness Measure and Resolution Theorem Proving.Joseph S. Fulda & Kevin De Fontes - 1989 - Journal of Experimental and Theoretical Artificial Intelligence 1 (3):227-230.
Carnapian and Tarskian semantics.Pierre Wagner - 2017 - Synthese 194 (1):97-119.
The Metaphilosophy of Information.Sebastian Sequoiah-Grayson - 2007 - Minds and Machines 17 (3):331-344.
The Hard Problem of Semantic Communication.Aaron Green - 2022 - Philosophia 50 (3):1117-1130.
Pragmatics and Logical Form.François Recanati - 2010 - In Truth-Conditional Pragmatics. Oxford, GB: Oxford University Press. pp. 127-142.
Four The Significance of T arski's Theory of Truth.Scott Soames - 1998 - In Understanding Truth. Oxford and New York: Oxford University Press USA. pp. 98-147.

Analytics

Added to PP
2013-06-02

Downloads
25 (#1,716,161)

6 months
25 (#404,136)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references