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I'm halfway through this, The Concept of Information
i highly recommend it.
Peters:
"True knowledge is not to possess information, but to throw it away. It is to run up against the borders of one’s own ignorance, to recognize one’s mortality and finitude."
@Constance I have a hunch you will like Peters' "Information: Notes Toward a Critical History"
I am enjoying it immensely. Found a pdf after a bit of a search.
I think it's the same article.So is the 90-pp. paper you linked before that by Capurro and Hjorland, increasingly read since its publication as shown in this graph:
The concept of information
R Capurro, B Hjørland - Annual review of information science and technology, 2003
Cited by 544 - Related articles - All 16 versions
I think it's the same article.
I don't know what the question is either... I just like being helpful, so I took a stab at itSame as ?what article? Steve linked Peters's whole bibliography. I must be missing something here. Help.
I don't know what the question is either... I just like being helpful, so I took a stab at it
The one you linked (that I did not link by Peters) is one and the same.Is the article that I linked to the same as the one you found?
Information: Notes Toward a Critical History
You said you found a PDF after a bit of a search, but you didn't post the link.
Here's the full article: http://www.mdpi.com/2078-2489/4/1/1/pdfThe closest view I have read on information to my stance is Vigo:
Ronaldo Vigo (2013) Complexity over Uncertainty in Generalized Representational Information Theory (GRIT): A Structure-Sensitive General Theory of Information Information 4, 1-30; doi:10.3390/info4010001
A key to his RIT is that information is dependent on the construct. It is not a commodity out there in the environment, but relates to the construct that is interacting with the world...
I don't get much of what he writes, so I can't be too sure. His RIT is quite one-dimensional i.e. it lacks the hierarchy of constructs, speaking only of 'conceptual' constructs (as he defines it)
Here's the full article: http://www.mdpi.com/2078-2489/4/1/1/pdf
"Abstract: What is information? Although researchers have used the construct of information liberally to refer to pertinent forms of domain-specific knowledge, relatively few have attempted to generalize and standardize the construct. Shannon and Weaver (1949) offered the best known attempt at a quantitative generalization in terms of the number of discriminable symbols required to communicate the state of an uncertain event. This idea, although useful, does not capture the role that structural context and complexity play in the process of understanding an event as being informative. In what follows, we discuss the limitations and futility of any generalization (and particularly, Shannon’s) that is not based on the way that agents extract patterns from their environment. More specifically, we shall argue that agent concept acquisition, and not the communication of states of uncertainty, lie at the heart of generalized information, and that the best way of characterizing information is via the relative gain or loss in concept complexity that is experienced when a set of known entities (regardless of their nature or domain of origin) changes. We show that Representational Information Theory perfectly captures this crucial aspect of information and conclude with the first generalization of Representational Information Theory (RIT) to continuous domains."