Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 592-601 |
Seitenumfang | 10 |
Fachzeitschrift | Procedia Computer Science |
Jahrgang | 176 |
Publikationsstatus | Veröffentlicht - 2 Okt. 2020 |
Veranstaltung | 24th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems - Virtual Online Dauer: 16 Sept. 2020 → 18 Sept. 2020 Konferenznummer: 24 |
Abstract
In mechanical engineering, designers have to review a designed artefact iteratively with different domain experts, e.g. from manufacturing, to avoid later changes and find a robust, optimized design. To support the designer, knowledge-based engineering offers a set of approaches and techniques that formalize and implement engineering knowledge into generic product models or decision support systems. An implementation which satisfies especially the concurrent nature of today's design processes and allow for multi-objective decision-making is multi-agent systems. Such systems consist of entities that are capable of autonomous action, interact intelligently with their environment, communicate and collaborate. In this paper, such a multi-agent system is discussed as extension for a computer-aided design software where the agents take the role of domain experts, like e.g. manufacturing technologists and make suggestions for the optimization of the design of mechanical engineering parts. A focal point is set on the collaboration concept of the single agents. Therefore, the paper proposes the use of an action-item-list as central information and knowledge sharing platform.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- Harvard
- Apa
- Vancouver
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- RIS
in: Procedia Computer Science, Jahrgang 176, 02.10.2020, S. 592-601.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Agent Collaboration in a Multi-Agent-System for Analysis and Optimization of Mechanical Engineering Parts
AU - Gembarski, Paul Christoph
N1 - Conference code: 24
PY - 2020/10/2
Y1 - 2020/10/2
N2 - In mechanical engineering, designers have to review a designed artefact iteratively with different domain experts, e.g. from manufacturing, to avoid later changes and find a robust, optimized design. To support the designer, knowledge-based engineering offers a set of approaches and techniques that formalize and implement engineering knowledge into generic product models or decision support systems. An implementation which satisfies especially the concurrent nature of today's design processes and allow for multi-objective decision-making is multi-agent systems. Such systems consist of entities that are capable of autonomous action, interact intelligently with their environment, communicate and collaborate. In this paper, such a multi-agent system is discussed as extension for a computer-aided design software where the agents take the role of domain experts, like e.g. manufacturing technologists and make suggestions for the optimization of the design of mechanical engineering parts. A focal point is set on the collaboration concept of the single agents. Therefore, the paper proposes the use of an action-item-list as central information and knowledge sharing platform.
AB - In mechanical engineering, designers have to review a designed artefact iteratively with different domain experts, e.g. from manufacturing, to avoid later changes and find a robust, optimized design. To support the designer, knowledge-based engineering offers a set of approaches and techniques that formalize and implement engineering knowledge into generic product models or decision support systems. An implementation which satisfies especially the concurrent nature of today's design processes and allow for multi-objective decision-making is multi-agent systems. Such systems consist of entities that are capable of autonomous action, interact intelligently with their environment, communicate and collaborate. In this paper, such a multi-agent system is discussed as extension for a computer-aided design software where the agents take the role of domain experts, like e.g. manufacturing technologists and make suggestions for the optimization of the design of mechanical engineering parts. A focal point is set on the collaboration concept of the single agents. Therefore, the paper proposes the use of an action-item-list as central information and knowledge sharing platform.
KW - Computer-Aided Design
KW - Design Optimization
KW - Knowledge-Based Engineering
KW - Multi-Agent System
UR - http://www.scopus.com/inward/record.url?scp=85093356702&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2020.08.061
DO - 10.1016/j.procs.2020.08.061
M3 - Conference article
AN - SCOPUS:85093356702
VL - 176
SP - 592
EP - 601
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 24th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems
Y2 - 16 September 2020 through 18 September 2020
ER -