Details
| Original language | English |
|---|---|
| Title of host publication | Agents and Multi-Agent Systems: Technologies and Applications 2021 |
| Subtitle of host publication | Proceedings of 15th KES International Conference, KES-AMSTA 2021, June 2021 |
| Editors | G. Jezic, J. Chen-Burger, M. Kusek, R. Sperka, R. J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 439-449 |
| Number of pages | 11 |
| ISBN (print) | 9789811629938 |
| Publication status | Published - 2021 |
| Event | 15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021 - Virtual, Online Duration: 14 Jun 2021 → 16 Jun 2021 |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 241 |
| ISSN (Print) | 2190-3018 |
| ISSN (electronic) | 2190-3026 |
Abstract
Still, a central tool for mechanical engineering is the computer-aided design (CAD) system for defining product shape and production information. Until today, researchers and practitioners attempted to implement intelligent agents as decision support or synthesis and analysis tools into CAD systems. To those belong multi-agent systems that analyze CAD models regarding manufacturability and production planning or support in knowledge retrieval and (manufacturing) feature recognition. This paper raises the question of what data and information sources a parametric CAD system provide that can be used for intelligent agents and agent-based modeling, and how agents may operate these. The contribution is an analysis and characterization of trigger, perception, and actor mechanisms for the interaction of intelligent agents and CAD systems in mechanical engineering. Developers of corresponding multi-agent systems can use the resulting morphological matrix as design tool.
Keywords
- Computer-aided design, Intelligent agents, Knowledge-based engineering, Morphological analysis, Multi-agent systems
ASJC Scopus subject areas
- Decision Sciences(all)
- General Decision Sciences
- Computer Science(all)
- General Computer Science
Cite this
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Agents and Multi-Agent Systems: Technologies and Applications 2021 : Proceedings of 15th KES International Conference, KES-AMSTA 2021, June 2021. ed. / G. Jezic; J. Chen-Burger; M. Kusek; R. Sperka; R. J. Howlett; Lakhmi C. Jain; Lakhmi C. Jain; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2021. p. 439-449 (Smart Innovation, Systems and Technologies; Vol. 241).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Characterizing the Data Basis of Parametric Computer-Aided Design Systems for Agent-Based Modeling
AU - Gembarski, Paul Christoph
PY - 2021
Y1 - 2021
N2 - Still, a central tool for mechanical engineering is the computer-aided design (CAD) system for defining product shape and production information. Until today, researchers and practitioners attempted to implement intelligent agents as decision support or synthesis and analysis tools into CAD systems. To those belong multi-agent systems that analyze CAD models regarding manufacturability and production planning or support in knowledge retrieval and (manufacturing) feature recognition. This paper raises the question of what data and information sources a parametric CAD system provide that can be used for intelligent agents and agent-based modeling, and how agents may operate these. The contribution is an analysis and characterization of trigger, perception, and actor mechanisms for the interaction of intelligent agents and CAD systems in mechanical engineering. Developers of corresponding multi-agent systems can use the resulting morphological matrix as design tool.
AB - Still, a central tool for mechanical engineering is the computer-aided design (CAD) system for defining product shape and production information. Until today, researchers and practitioners attempted to implement intelligent agents as decision support or synthesis and analysis tools into CAD systems. To those belong multi-agent systems that analyze CAD models regarding manufacturability and production planning or support in knowledge retrieval and (manufacturing) feature recognition. This paper raises the question of what data and information sources a parametric CAD system provide that can be used for intelligent agents and agent-based modeling, and how agents may operate these. The contribution is an analysis and characterization of trigger, perception, and actor mechanisms for the interaction of intelligent agents and CAD systems in mechanical engineering. Developers of corresponding multi-agent systems can use the resulting morphological matrix as design tool.
KW - Computer-aided design
KW - Intelligent agents
KW - Knowledge-based engineering
KW - Morphological analysis
KW - Multi-agent systems
UR - http://www.scopus.com/inward/record.url?scp=85111153637&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-2994-5_37
DO - 10.1007/978-981-16-2994-5_37
M3 - Conference contribution
AN - SCOPUS:85111153637
SN - 9789811629938
T3 - Smart Innovation, Systems and Technologies
SP - 439
EP - 449
BT - Agents and Multi-Agent Systems: Technologies and Applications 2021
A2 - Jezic, G.
A2 - Chen-Burger, J.
A2 - Kusek, M.
A2 - Sperka, R.
A2 - Howlett, R. J.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International KES Conference on Agent and Multi-Agent Systems-Technologies and Applications, KES-AMSTA 2021
Y2 - 14 June 2021 through 16 June 2021
ER -