Agent-based Decision Support System for Technology Recommendation | Zendy

Grzegorz Legień | Zendy; Bartłomiej Śnieżyński | Zendy; D. Wilk-Kołodziejczyk | Zendy; Stanisawa Kluska-Nawarecka | Zendy; Edward Nawarecki | Zendy; Krzysztof Jaśkowiec | Zendy

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Agent-based Decision Support System for Technology Recommendation

Author(s) -

Grzegorz Legień,

Bartłomiej Śnieżyński,

D. Wilk-Kołodziejczyk,

Stanisawa Kluska-Nawarecka,

Edward Nawarecki,

Krzysztof Jaśkowiec

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.034

Subject(s) - computer science , decision support system , knowledge base , inference , domain (mathematical analysis) , intelligent decision support system , architecture , domain knowledge , multi agent system , artificial intelligence , knowledge based systems , machine learning , software engineering , art , mathematical analysis , mathematics , visual arts

This paper presents an idea of a multi-agent decision support system. Agent-based technology allows for decentralized problem solving and creating complex decision support systems, mixing various processing techniques, such as simulation, reasoning and machine learning and allows for distributed knowledge. Our main contribution is an agent-based architecture for decision support systems which is an agent-based implementation of a labeled deductive system. Such approach allows to decompose an inference algorithm into separate modules and distribute knowledge base into parts. The system is tested on a domain of material choice support for casting.

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