Title
Intelligence Techniques Are Needed To Further Enhance The Advantage Of Groups With Diversity In Problem Solving
Abstract
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
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 Castillo15289452.83
Patricia Melin24009259.43
J. Esteban Gamez310.63
Vladik Kreinovich41091281.07
Olga Kosheleva59754.24