The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 31-438
Full Name: Junkang Feng
Position: Professor
Age: ON
Sex: Male
Address: School of Computing, University of the West of Scotland
Country: UNITED KINGDOM
Tel: 0044 141 8483548
Tel prefix: 0044
Fax: 0044 141 8483542
E-mail address: junkang.feng@uws.ac.uk
Other E-mails: dr.junkangfeng@gmail.com
Title of the Paper: 'No Representation without Information Flow' - Measuring Efficacy and Efficiency of Representation: An Information Theoretic Approach
Authors as they appear in the Paper: Junkang Feng, Yang Wang
Email addresses of all the authors: junkang.feng@uws.ac.uk, yang.wang@uws.ac.uk
Number of paper pages: 13
Abstract: Representation is a key concept for semiotics and for information systems. Stamper's framework may be seen outlining what is required for the efficacy of signs in standing for (i.e., representing) something else in an organization, among many others. We explore how the efficacy and the efficiency of representation may be measured, which seems overlooked in available literature of information systems and organizational semiotics. And we approach this problem from the perspective of what we call the 'information carrying' relation between the representation and the represented. We model the represented as an information source and the representation an information carrier, and the 'representing' relationship between them as that of 'information carrying'. That is, information is carried and therefore flows. These then are further modeled mathematically as random variables and random events, and a special relationship between random events. This approach enables us to!
reveal a necessary condition for the efficacy and the efficiency of representation, and to measure it. To this end we extend Dretske's semantic theory of information. The conviction that we put forward here is 'No representation without information flow', based upon which the efficacy and efficiency of a representation system may be measurable.
Keywords: Representation, Information systems, Information theory, Information content, Database design
EXTENSION of the file: .doc
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How Did you learn about congress: Teresa Gilbert, Acting Librarian, University of the West of Scotland, teresa.gilbert@uws.ac.uk
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