Semantic Information Calculator

August 2nd, 2011

Semantic Information Calculator

Skepticism and information

July 9th, 2011

Skepticism and information

Value Aggregate Truthlikeness and C-Monotonicity

June 29th, 2011

Value Aggregate Truthlikeness and C-Monotonicity

Floridi’s “Open Problems in Philosophy of Information”

June 27th, 2011

Ten Years Later

Situation Theory Tutorials

June 18th, 2011

An introductory series on situation theory

Plus some introductory material on channel theory

A Critical Analysis of Floridi’s Theory of Semantic Information

June 14th, 2011

I have recently been reading ‘A Critical Analysis of Floridi’s Theory of Semantic Information’, Pieter Adriaans’ contribution to the special issue of Knowledge, Technology & Policy titled ‘Luciano Floridi’s Philosophy of Technology: Critical Reflections’. This article is indeed quite critical of Floridi’s Theory of Semantic Information.

Floridi responded in turn, and his replies to the contributions can be found in the piece ‘The Philosophy of Information as a Conceptual Framework’.

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Towards a Theory of Semantic Communication

May 31st, 2011

Towards a Theory of Semantic Communication

Confirmation Measures and Transmitted Information

May 30th, 2011

The following Bayesian confirmation measure is associated with John Maynard Keynes, having appeared in his A Treatise on Probability (1921). The degree to which evidence e confirms hypothesis h is given as:


R(h,e) = \text{ln}(\frac{p(h | e)}{p(h)})

Interestingly, this is strongly reminiscent of a subsequent measure found in Shannon information theory. In philosophy literature, this formula can be found in Dretske’s formulation of information transmission derived from Shannon’s work as well as a measure of transmitted information given by Hintikka.

Entropy Is Universal Rule of Language

May 18th, 2011

Entropy Is Universal Rule of Language

What Does CONT() Measure?

May 15th, 2011

I have been reading over Luciano Floridi’s recently released The Philosophy of Information. Chapter 5 is basically his paper Outline of a Theory of Strongly Semantic Information (TSSI).

Under such a theory, the Bar-Hillel/Carnap CONT(s) measure, associated with a Theory of Weakly Semantic Information (TWSI) does not provide an indication of the amount of informativeness of a statement s. But rightly so, “given the usefulness of TWSI, CONT(s) should probably be salvaged, if possible”.

If so, then what does CONT(s) really purport to indicate? Floridi writes that “[CONT(s)] does not indicate the quantity of semantic information but, more precisely, the quantity of data in [s]” (pg. 128.).

I think that I agree with this point, but would qualify that it indicates the quantity of meaningful data (i.e. semantic content).

In an earlier post, I mentioned that “[CONT()] be seen as a measure of semantic content (meaningful, well-formed data), rather than a measure of semantic information”.