Proposal of a New Information-theory Technique

Author(s):  
Antonio Cuadra-Sánchez ◽  
Javier Aracil
2021 ◽  
Author(s):  
Jason A. Hoelscher

In Art as Information Ecology, Jason A. Hoelscher offers not only an information theory of art but an aesthetic theory of information. Applying close readings of the information theories of Claude Shannon and Gilbert Simondon to 1960s American art, Hoelscher proposes that art is information in its aesthetic or indeterminate mode—information oriented less toward answers and resolvability than toward questions, irresolvability, and sustained difference. These irresolvable differences, Hoelscher demonstrates, fuel the richness of aesthetic experience by which viewers glean new information and insight from each encounter with an artwork. In this way, art constitutes information that remains in formation---a difference that makes a difference that keeps on differencing. Considering the works of Frank Stella, Robert Morris, Adrian Piper, the Drop City commune, Eva Hesse, and others, Hoelscher finds that art exists within an information ecology of complex feedback between artwork and artworld that is driven by the unfolding of difference. By charting how information in its aesthetic mode can exist beyond today's strictly quantifiable and monetizable forms, Hoelscher reconceives our understanding of how artworks work and how information operates.


2012 ◽  
Vol 8 (1) ◽  
pp. 17-32 ◽  
Author(s):  
K. Jain ◽  
Ram Saraswat

A New Information Inequality and Its Application in Establishing Relation Among Various f-Divergence MeasuresAn Information inequality by using convexity arguments and Jensen inequality is established in terms of Csiszar f-divergence measures. This inequality is applied in comparing particular divergences which play a fundamental role in Information theory, such as Kullback-Leibler distance, Hellinger discrimination, Chi-square distance, J-divergences and others.


Author(s):  
Yohei Nishida

This paper discusses methodological issues related to a possible framework for a unified theory of information. We concentrate on the relationship between systems theory and semiotics, or to put it more concretely, the relationship between autopoiesis theory and biosemiotics. These theories give rise to two decisive viewpoints on life that seem poten- tially contradictory and consequently provoke a fruitful controversy, which is conducive for the consideration of philosophical suppositions vital for a new information theory. The following three points are derived in the context of basic principles: epistemology rather than ontology, constructivism rather than metaphysics, meta-theoretical recursiveness rather than linear consistency.


Author(s):  
CLIFF JOSLYN

The two known information theories, probability and possibility theory, are based on t-conorm decomposable fuzzy measures, so that bijective mappings exist between their set-valued measures and their point-valued distributions. Further, their random set (Dempster-Shafer evidence theoretical) interpretations have simple topological structures, with bijective mappings between the subset focal elements and the point singletons. We introduce the concepts of distributional and aggregable random sets and random set completion, and first use them as a model in which to cast probability and possibility measures and distributions. Then, towards the goal of deriving new forms of information theory, general Sugeno conorm decomposable fuzzy measures and ring-like aggregable random sets with set-intersection structural aggregation are examined, but it is shown that in these two cases no new information theories are forthcoming.


2004 ◽  
Vol 18 (17n19) ◽  
pp. 2361-2364
Author(s):  
YI-CHENG ZHANG

Sign in / Sign up

Export Citation Format

Share Document