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Preference-Aware Web Service Composition by Reinforcement Learning

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2 Author(s)
Hongbing Wang ; Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing ; Pingping Tang

The existing composition approaches focus on either function-oriented composition or QoS-oriented composition. To our best knowledge, there is not a complete solution. Furthermore, existing solutions for QoS-oriented composition are basically a quantitative method. In many domains it is desirable to assess such QoS in a qualitative rather than quantitative way. So we propose a new algorithm, which can implement automatic composition, considering both function and QoS. Moreover this is a qualitative solution. The algorithm is based on reinforcement learning and preference logic reasoning. The theoretical proof and the experiments demonstrate the feasibility and effectiveness of the approach.

Published in:

Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on  (Volume:2 )

Date of Conference:

3-5 Nov. 2008