dc.contributor.author |
Calude, C.S |
en |
dc.date.accessioned |
2009-04-16T23:18:49Z |
en |
dc.date.available |
2009-04-16T23:18:49Z |
en |
dc.date.issued |
2006-12 |
en |
dc.identifier.citation |
CDMTCS Research Reports CDMTCS-292 (2006) |
en |
dc.identifier.issn |
1178-3540 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/3799 |
en |
dc.description.abstract |
Information has a diversity of meanings, from everyday usage to a variety of technical settings.
There is no single theory of information, but several theories, Shannon’s information theory [27,
28, 16], semantic theories [2], logic of information [18], information algebra [21], philosophy of information
[19], information flow [3], quantum information theory [24], evolutionary information
[30], algorithmic information theory [15, 4], to name just a few. Each theory focuses on some specific
aspects of information, and overlaps are minimal. Information is context-sensitive and heavily
dependent on the adopted coding.
In this paper we will present, through a sequence of examples, some ideas and results of the
algorithmic approach to information. In this approach information is measured by counting bits
encoding computations. |
en |
dc.publisher |
Department of Computer Science, The University of Auckland, New Zealand |
en |
dc.relation.ispartofseries |
CDMTCS Research Report Series |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.source.uri |
http://www.cs.auckland.ac.nz/staff-cgi-bin/mjd/secondcgi.pl?serial |
en |
dc.title |
Information: The Algorithmic Paradigm |
en |
dc.type |
Technical Report |
en |
dc.subject.marsden |
Fields of Research::280000 Information, Computing and Communication Sciences |
en |
dc.rights.holder |
The author(s) |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |