Knowledge representation for preliminary stages of engineering tasks

Smith, Ian F. C.; Boulanger, Sylvie

doi:10.1016/0950-7051(94)90002-7

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…Modifications to the requirement qualification set, the design object description and the design strategy, may be the result of straightforward implications drawn from knowledge available to a design support system. Modifications may also be the result of specific knowledge on appropriate default assumptions (see also 49 ), or the result of interaction with an outside party (e.g., a client or a designer). The four processes (see Figure 3) related to the process requirement qualification set manipulation (RQSM) are:…”

Section: A Generic Model Of Designmentioning

confidence: 99%

Compositional design of a generic design agent

et al. 2001

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process), they can interact with other parties interested in the same Web sites as they themselves 2 , they can perform calculations, to name a few.This paper introduces a generic architecture for a design agent that can be integrated in a Web-based distributed design environment. This architecture is based on the Generic Agent Model GAM introduced in 3 and the Generic Design Model GDM described in 4 . Both of these models have been devised on the basis of experience, and tested in a number of different domains: applications of GAM can be found, for example, in 5-7 ; applications of GDM can be found, for example, in 8,9 . To tune a generic model to a specific domain of application, more refined knowledge is needed: both more specific knowledge of the task at hand (by specialisation), and more specific factual knowledge of the domain (by instantiation). For example, domain-specific knowledge is needed to derive whether a given design object description satisfies given properties (e.g., requirements), and knowledge that can be used to derive how to refine requirements into more specific requirements.The architecture for the design agent has been modelled using the compositional development method for multi-agent systems DESIRE 5 . This compositional development method is briefly introduced in Section 1. The generic agent model employed is described in Section 2. The generic model of design 4 employed, in which strategic reasoning and dynamic management of requirements are explicitly modelled, is described in Section 3. The integration of the two models is discussed in Section 4. Although both the Generic Agent Model GAM and the Generic Design Model GDM have been tested in different application domains, the architecture for a generic design agent described in this paper as yet has only been tested in the application domain of automated design of Internet agents. Therefore this application domain is used to illustrate the applicability of the proposed approach. The specific design agent for this application is described in Section 5. Section 6 compares the generic agent model GAM and the generic design model GDM to other agent and design models. Section 7 discusses the results and sketches a perspective of the use of the design agent architecture in Web-based environments for Electronic Commerce applications: a current focus of research. Compositional design of agentsThe design agent described in this paper has been developed using the compositional development method DESIRE for multi-agent systems (Design and Specification of Interacting Reasoning components; cf. 5 ). Within this method, knowledge of the following three types is distinguished: 441Compositional design of a generic design agent ț process composition; ț knowledge composition; and ț the relation between process composition and knowledge composition.The development of a multi-agent system is supported by graphical design tools. Translation to an operational system is straightforward; in addition to the graphical design tools, the software environment ...

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Section: A Generic Model Of Designmentioning

confidence: 99%

Compositional design of a generic design agent

et al. 2001

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“…Modifications to the requirement qualification set, the design object description and the design strategy may be the result of straightforward implications drawn from knowledge available to a design support system. Modifications may also be the result of specific knowledge about appropriate default assumptions (see also Smith and Boulanger [14]), or the result of interaction with an outside party (e.g. a client or a designer).…”

Section: Characteristics Of Design Processesmentioning

confidence: 99%

Redesign and reuse in compositional knowledge-based systems

Brazier¹,

Langen²,

Treur³

et al. 1996

Knowledge-Based Systems

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The paper introduces a task model for the redesign of compositional knowledge-based systems based on a generic task model of design. A generic task model of design provides an abstract description of a design task and a generic structure which can be refined for design tasks in specific domains of application. A generic task model of design, shown to incorporate redesign, is presented and refined to a task model for the redesign of compositional knowledge-based systems. The applicability of this task model is illustrated for the redesign of a diagnostic knowledge-based system.

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“…A combination of hard and soft constraints has been used for multi-modulus blind frequency analysis (Abrar et al, 2005;Akande et al, 2016). In the field of structural engineering Smith and Boulanger (1994) explored the use of soft constraints for structural design decision making.…”

Section: Introductionmentioning

confidence: 99%