Title | ||
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Intelligence Techniques Are Needed To Further Enhance The Advantage Of Groups With Diversity In Problem Solving |
Abstract | ||
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In practice, there are many examples when the diversity in a group enhances the group's ability to solve problems - and thus, leads to more efficient groups, firms, schools, etc. Several papers, starting with the pioneering research by Scott E. Page from the University of Michigan at Ann Arbor, provide a theoretical justification for this known empirical phenomenon. However, when the general advise of increasing diversity is transformed into simple-to-follow algorithmic rules (like quotas), the result is not always successful. In this paper, we prove that the problem of designing the most efficient group is computationally difficult (NP-hard). Thus, in general, it is not possible to come up with simple algorithmic rules for designing such groups: to design optimal groups, we need to combine standard optimization techniques with intelligent techniques that use expert knowledge. |
Year | DOI | Venue |
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2009 | 10.1109/HIMA.2009.4937825 | HIMA: 2009 IEEE WORKSHOP ON HYBRID INTELLIGENT MODELS AND APPLICATIONS |
Keywords | Field | DocType |
np hard,probability density function,productivity,data mining,design optimization,expert systems,computational complexity,physics,polynomials | Polynomial,Computer science,Expert system,Artificial intelligence,Phenomenon,Probability density function,Computational complexity theory | Conference |
Citations | PageRank | References |
1 | 0.63 | 1 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Oscar Castillo | 1 | 5289 | 452.83 |
Patricia Melin | 2 | 4009 | 259.43 |
J. Esteban Gamez | 3 | 1 | 0.63 |
Vladik Kreinovich | 4 | 1091 | 281.07 |
Olga Kosheleva | 5 | 97 | 54.24 |