Use of agents to implement an integrated computing environment

Hale, Mark A.; Craig, James I.

doi:10.2514/6.1995-1001

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…Agents are a key facilitator of VSLCD and are programmatic objects which facilitate the integration, whether direct or through approximating functions, of product and process based analysis models [23]. Designers benefit from agents due to the repetitive and monotonous task of program execution and data archiving is automated.…”

Section: Integration In Vslcdmentioning

confidence: 99%

A stochastic approach to multi-disciplinary aircraft analysis and design

Mavris

DeLaurentis

Bandte

et al. 1998

36th AIAA Aerospace Sciences Meeting and Exhibit

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Within the context of multi-disciplinary aircraft analysis and design, a new approach has been formulated and described which allows for the rapid technical feasibility and economic viability assessment of multiattribute, multi-constrained designs. The approach, referred to here as Virtual Stochastic Life Cycle Design, facilitates the multi-disciplinary consideration of a system, accounting for life-cycle issues in a stochastic fashion. The life-cycle consideration is deemed essential in order to evaluate the emerging, all encompassing system objective of affordability. The stochastic treatment is employed to account for the knowledge variation/uncertainty that occurs in time through the various phases of design. Variability found in the treatment of assumptions, ambiguous requirements, code fidelity (imprecision), economic uncertainty, and technological risk are all examples of categories of uncertainty that the proposed probabilistic approach can assess. For cases where the problem is over-constrained and a feasible solution is not possible, the proposed method facilitates the identification and provides guidance in the determination of potential barriers which will have to be overcome via the infusion of new technologies. The specific task of examining system feasibility and viability is encapsulated and outlined in a series of easy to follow steps. Finally, the method concludes with a brief description and discussion of proposed decision making techniques to achieve optimal designs with reduced variability. This decision making is achieved through a combined utility theory and Robust Design Simulation approach.

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Section: Integration In Vslcdmentioning

confidence: 99%

A stochastic approach to multi-disciplinary aircraft analysis and design

Mavris

DeLaurentis

Bandte

et al. 1998

36th AIAA Aerospace Sciences Meeting and Exhibit

Self Cite

View full text Add to dashboard Cite

show abstract

“…Agents are a key facilitator of VSLCDE and are defined as programmatic objects which facilitate the integration, whether direct or through approximating functions, of product and process based analysis models, Ref. [33]. Designers benefit from agents due to the automation of repetitive and monotonous tasks, such as of program execution and data archiving.…”

Section: Knowledge Integration: Computing Infrastructure For the Vslcdementioning

confidence: 99%

Elements of an Emerging Virtual Stochastic Life Cycle Design Environment

Mavris¹,

DeLaurentis²,

Hale³

et al. 1999

SAE Technical Paper Series

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The challenge of designing next-generation systems that meet goals for system effectiveness, environmental compatibility, and cost has grown to the point that traditional design methodologies are becoming ineffective. Increases in the analysis complexity required, the number of objectives and constraints to be evaluated, and the multitude of uncertainties in today's design problems are primary drivers of this situation. A new environment for design has been formulated to treat this situation. It is viewed as a testbed, in which new techniques in such areas as design-oriented/physics-based analysis, uncertainty modeling, technology forecasting, system synthesis, and decision-making can be posed as hypotheses. Several recent advances in elements of this multidisciplinary environment, termed the Virtual Stochastic Life Cycle Design Environment, are summarized in this paper.

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“…A generic scheme has been proposed that allows for Agents to be developed from existing available assets or new Agents to be developed that incorporate the functionality of new design environments and computing characteristics. References [10,19,20] summarize generic Agent implementation schemes. Examples of Agents that incorporate proprietary resources are also highlighted in these references.…”

Section: Agent Collaborationmentioning

confidence: 99%

On the development of a computing infrastructure that facilitates IPPD from a decision-based perspective (Integrated Product and Process Development)

Hale¹,

Craig²,

Mistree³

et al. 1995

Aircraft Engineering, Technology, and Operations Congress

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† ‡ § -This is white Integrated Product and Process Development (IPPD) embodies the simultaneous application of both system and quality engineering methods throughout iterative design processes. The use of IPPD results in the timeconscious, cost-saving development of engineering systems. A computing infrastructure called IMAGE is designed to implement IPPD from a decision-based perspective. IMAGE has four components: designer activities, available assets, agent collaboration, and a computing architecture. IMAGE captures a designer's activities through a timeline partitioning scheme, problem formulation and solution, and comprehensive information management. To support these activities, IMAGE incorporates design resources through the use of agents. Agents are a critical computational enabling technology that provide accountable mechanisms for resource collaboration in an integrated computing environment. Background and MotivationConsiderable time and effort has been invested in the development of new computing technologies and their associated methods for Integrated Product and Process Development (IPPD). These technologies have been applied in systems that emphasize modularity, interdisciplinary program utilization, resource collaboration, and distributed processing. These systems include integrated design frameworks, conceptual design systems, and quasi-procedural systems. 1-9 Though these systems have marked improvements in information processing, their applicability to aiding a designer in making decisions based on new design knowledge remains questionable. 10

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Use of agents to implement an integrated computing environment

Cited by 11 publications

References 9 publications

A stochastic approach to multi-disciplinary aircraft analysis and design

A stochastic approach to multi-disciplinary aircraft analysis and design

Elements of an Emerging Virtual Stochastic Life Cycle Design Environment

On the development of a computing infrastructure that facilitates IPPD from a decision-based perspective (Integrated Product and Process Development)

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