Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be ....Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be captured and retained which reduces training cost and makes new staff more effective. The aim of the project is to develop a KBE environment for wire and conduit routing through complex structures and verify the benefits in an industry environment.Read moreRead less
Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent sys ....Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent systems that facilitate adaptation and change.
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