Dear Jacob:
your choice is certainly well-stated; further, on
my view, building after the called 'conjugational
mathematics' is not a frequent exercise. And
perhaps the reason is under the assumption that a
scientific theory of the rational behavior that
incorporates the intuitive inclination facing the
uncertainty is necessary. But the methods of
detection of errors and evaluation of
opportunities, on the basis of numerical
measures, have demonstrated not to be
satisfactory at the time of describing the
behavior. Then when considering the
communication, the credentials relative to the
logic are not strictly rigourous. So, why to
continue exploring where there is no answer?
Regards,
Enrique Wulff
Marine Sciences Institute of Andalusia (CSIC)
C/ República Saharaui nº 2 (Campus Universitario)
11519 Puerto Real, Cádiz. Spain.
Phone 956 832 612, ext. 325
Fax 956 834 701
E-mail: enrique.wu...@icman.csic.es
At 05:11 04/12/2009, you wrote:
Dear All:
I have remained mostly a lurker on this fascinating listserv for some
time. The diversity of the different participants' backgrounds makes for
interesting discussions, though I am not sure I always understand
everything.
That said, having spent the last year or more familiarizing myself with
situation semantics, situation theory, and infomorphic channel theory
(i.e. the work of Jon Barwise, Jerry Seligman, David Israel, John
Perry, Keith Devlin, and many others) for my thesis work, I am struck by
the general, if not universal, absence of engagement with this work in
this list's discussions. Situation semantics is an explicitly
information oriented semantics (rather than say a truth oriented
semantics), based on partial worlds called situations. Propositional
sentence meaning is a relation between some discourse situation and a
described situation. A propositional sentence asserts that a described
situation support various states of affairs (items of information).
Jerry Seligman gives a reasonable first pass formalization of the notion
of a situation in his paper /Physical Situations and Information Flow./
Situation theory was further developed in Barwise and Seligman's channel
theory. Channel theory identifies information flow as arising from
regularities between the components of distributed systems. The
decomposition of a system determines what information flows in the
system; hence the information available to a cognitive agent depends on
the particular decomposition used. Allwein, Moskowitz, and Chang have
attempted to integrate Shannon's information theory into Barwise and
Seligman's channel theory (see refs below). More recent work of
interest is contained in the recent collection /Philosophy of
Information/ edited by Pieter Adriaans and Johan Van Benthem. This work
is relatively well known and seems highly relevant to our discussions on
this list, so I am puzzled. Am I missing something?
Jacob
REFS
Adriaans, Pieter, and Johan Van Benthem. Philosophy of Information.
Elsevier, 2008.
Allwein, Gerard. A qualitative framework for Shannon information
theories. In Proceedings of the 2004 workshop on New security
paradigms, 23-31. Nova Scotia, Canada: ACM, 2004.
http://portal.acm.org/citation.cfm?id=1065907.1066030&coll=Portal&dl=GUIDE&CFID=22417089&CFTOKEN=87154842
(accessed February 17, 2009).
Moskowitz, I. S., L. W. Chang, and G. T. Allwein. A new framework for
Shannon information theory. Storming Media, 2004.
Seligman, Jerry "Physical situations and information flow." in Situation
theory and its applications, vol. 2 1991.
Regards,
Jacob
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