DocumentCode
2706672
Title
Context Dependent Reconstructive Communication
Author
Kóczy, Laszló T. ; Gedeon, Tamás D.
Author_Institution
Budapest Univ. of Technol. & Econ., Budapest
fYear
2007
fDate
28-30 March 2007
Firstpage
13
Lastpage
19
Abstract
Fuzzy communication contains vague or imprecise components and it might lack of abundant information. If two entities (man or machine) are communicating by a fuzzy channel, it is necessary that both ends possess the same codebook. The codebook might partly consist of common knowledge but it usually requires a context dependent part that is either learned by the communicating entity or defined by expert knowledge. Possibly it is continuously adapting to the input information. If such a codebook is not available or it contains too imprecise information, the information to be transmitted might be too much distorted and might lead to misunderstanding, misinterpretation and serious damage. If however the quality of the available codebook is satisfactory, the communication will be efficient i. e., the original contents of the message can be reconstructed. At the same time it is cost effective, as fuzzy communication is compressed as compared to traditional "abundant communication".
Keywords
expert systems; fuzzy logic; fuzzy set theory; intelligent robots; learning (artificial intelligence); message passing; codebook; compressed communication; context dependent reconstructive communication; cooperating intelligent robots; fuzzy channel; fuzzy communication; fuzzy logic; fuzzy set theory; Communication effectiveness; Computer science; Context; Dairy products; Environmental economics; Humans; Informatics; Information technology; Laboratories; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Intelligent Informatics, 2007. ISCIII '07. International Symposium on
Conference_Location
Agadir
Print_ISBN
1-4244-1158-0
Electronic_ISBN
1-4244-1158-0
Type
conf
DOI
10.1109/ISCIII.2007.367354
Filename
4218387
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