Start Date
4-1988 8:00 AM
Description
A new problem beginning to challenge the artificial intelligence community is "design knowledge capture." There has been an increased desire to construct systems with inherent built-in evolvability toward more advanced technologies and machine intelligence. Success in this evolution process depends on being able to capture "as-built" design knowledge from the outset. Requirements and objectives for such systems are reviewed and an application to capture design knowledge within a combined data and knowledge environment is presented.
Design knowledge and rationale are implemented as design objects. Knowledge represented within an object can be physical, conceptual, functional, or structural. Storage and retrieval of rationale is achieved through a network of design objects and a model of the design process. The context, as well as the content, of captured knowledge is described within the process network of requirements, trades, and analyses. Design knowledge applications include, for example, traceability to requirements, standards, and specifications. It can be used to describe attributes of a part, or for input to further analyses, and trade studies. Other uses include verification, simulation, and maintenance activities.
Design Knowledge Capture: Preserving Engineering Knowledge For Future Applications
A new problem beginning to challenge the artificial intelligence community is "design knowledge capture." There has been an increased desire to construct systems with inherent built-in evolvability toward more advanced technologies and machine intelligence. Success in this evolution process depends on being able to capture "as-built" design knowledge from the outset. Requirements and objectives for such systems are reviewed and an application to capture design knowledge within a combined data and knowledge environment is presented.
Design knowledge and rationale are implemented as design objects. Knowledge represented within an object can be physical, conceptual, functional, or structural. Storage and retrieval of rationale is achieved through a network of design objects and a model of the design process. The context, as well as the content, of captured knowledge is described within the process network of requirements, trades, and analyses. Design knowledge applications include, for example, traceability to requirements, standards, and specifications. It can be used to describe attributes of a part, or for input to further analyses, and trade studies. Other uses include verification, simulation, and maintenance activities.
Comments
No other information or file available for this session.