|
Title:
|
SPECIFYING PERSONALIZED EXPERTISE |
|
Author(s):
|
Edward Pogossian |
|
ISBN:
|
972-8924-22-4 |
|
Editors:
|
Kinshuk, Demetrios G Sampson, J. Michael Spector and Pedro Isaías |
|
Year:
|
2006 |
|
Edition:
|
Single |
|
Keywords:
|
Expertise, content, vocabulary, knowledge, strategies, chess |
|
Type:
|
Full Paper |
|
First Page:
|
151 |
|
Last Page:
|
158 |
|
Language:
|
English |
|
Cover:
|
|
|
Full Contents:
|
click to dowload 
|
|
Paper Abstract:
|
We aim to understand the role and proportion of personalized expertise compared with common, communicable one. To make the studying constructive we concentrate on a particular class of game represented problems and go in the depth of a typical representative of the class, the chess. We simulate and analyze expert requests to the games storage in a natural language to find winning strategies of the specified types. The correspondence revealed between units of chess vocabulary and winning by zermelo classes of chess positions and strategies argues for a constructive nature of the content of the units, in principle, allowing to simulate them. At the same time it states that any real implementation of those contents, in principle, can be only an approximation to the original winning game tree structures due to a prohibitive complexity of computations required to prove correctness of the vast majority of the contents. Thus, we get a precedent of a measurable specification of human expertise where the learned contents of realities having the same vocabulary, as a rule, are essentially personalized. |
|
|
|
|
|
|
