Learning method for co-operation

Authors:
Ewa Dudek-Dyduch;Edyta Kucharska
Affiliations:
Institute of Automatics, AGH University of Science and Technology, Krakow;Institute of Automatics, AGH University of Science and Technology, Krakow
Venue:
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Year:
2011

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Transactions on Computational Collective Intelligence IX

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Abstract

The aim of the paper is to present a new heuristic method for determining intelligent co-operation at project realization. The method uses local optimization task of a special form and is based on learning idea. The paper presents a formal approach to creation of constructive algorithms that use a local optimization and are based on a formal definition of multistage decision process. It also proposes a general conception of creation local optimization tasks for different problems as well as a conception of local optimization task modification on basis of gathering information. To illustrate the conceptions, the learning algorithm for NP-hard scheduling problem is presented as well as results of computer experiments.