DocumentCode
1673252
Title
Causality is undefinable - toward a theory of hierarchical definability
Author
Zadeh, Lotfi A.
Author_Institution
California Univ., Berkeley, CA, USA
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
67
Lastpage
68
Abstract
Attempts to formulate mathematically precise definitions of basic concepts such as causality, randomness, and probability have a long history. The concept of generalized definability suggests that such definitions may not exist. Furthermore, it suggests that existing definitions of many basic concepts, among them those of stability, statistical independence and Pareto-optimality, may need to be redefined. The point of departure in our approach to definability is the assumption that definability has a hierarchical structure. Furthermore, it is understood that a definition must be unambiguous, precise, operational, general, and coextensive with the concept it defines
Keywords
fuzzy set theory; probability; causality; fuzzy set theory; hierarchical definability; natural language; probability; Books; Fuzzy sets; History; Logic; Machine intelligence; Mathematical analysis; Mathematics; Natural languages; Probability; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1007248
Filename
1007248
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