Application of Multi-Agent for Collaborative Product Design Engineering

Li, Xujian; Zhang, Liwei

doi:10.1109/snpd.2007.37

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…For this reason, new approaches are being sought in research to automatically check an arbitrary design for its compatibility with the solution space and then adapt the CAD design accordingly. Multi-agent systems (MAS) and distributed artificial intelligence (AI) are assuming increasing importance in this regard, as the geographical distance between development and manufacturing increases (Li, 2007;Liu et al, 2004). On the one hand, as a decentralized AI, the MAS can be more easily maintained and extended when changes occur since individual agents are considered separately and these can be exchanged.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Evaluation of Milling Designs Using Multi-Agent Systems

et al. 2022

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During product development, many decisions have to be made that affect the entire product life cycle and often lead to errors that cause additional effort. To proactively support the engineer in evaluating his design in a CAD program, in this paper an approach to evaluate milling designs using a multi-agent system (MAS) is presented. The CommonKADS method is used and the MAS is validated against an application example of a gearbox housing that has been checked for design guidelines, standards, and tool or machine portfolios.

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Section: Introductionmentioning

confidence: 99%

Feasibility Evaluation of Milling Designs Using Multi-Agent Systems

et al. 2022

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“…Multi-agent systems (MAS) offer the opportunity for building more effective systems using a unified approach based on sound theories. The promise that agent-based technologies holds for enhancing DSS capabilities is recognized by many researchers [6,7,8] . Agents possess attractive features including: autonomy, reactivity, reasoning capability, social ability (interaction with the environment, user, and other agents), and incorporation of human-like features.…”

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confidence: 99%

Application of Multi-agent for Travel Management Decision Support System

2009

2009 International Forum on Information Technology and Applications

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This paper proposes a multi-agent framework for travel management decision support system that targets improved decision making, parallels human problem solving processes, and supports the major phases of decision making. A multi-agent system is a loosely coupled network of agents that work together to solve problems that are beyond the individual capabilities and knowledge of each agent. In travel management decision support system, agents are organized by their roles according to different phases of problem solving. They interact with the user, the environment, and each other, to improve the decision making process. Visual Prolog is used as our design language. The main advantage of using Visual Prolog is the flexibility Prolog rules provide in extending the functionality of agents.

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