Multiagent Shape Grammar Implementation: Automatically Generating Form Concepts According to a Preference Function

Orsborn, Seth; Cagan, Jonathan

doi:10.1115/1.4000449

Cited by 30 publications

(18 citation statements)

References 32 publications

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“…Finite element simulations, for example, have been employed for decades in the aerospace and automotive industries; however, their entry into the medical device industry has lagged considerably. Likewise, conceptual design tools such as design agents and shape grammars have found a valuable role in many industries1,52,53 but have yet to be adopted for cardiovascular applications.…”

Section: Discussionmentioning

confidence: 99%

PediaFlow™ Maglev Ventricular Assist Device: A Prescriptive Design Approach

Antaki

Ricci

Verkaik

et al. 2010

Cardiovasc Eng Tech

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This report describes a multi-disciplinary program to develop a pediatric blood pump, motivated by the critical need to treat infants and young children with congenital and acquired heart diseases. The unique challenges of this patient population require a device with exceptional biocompatibility, miniaturized for implantation up to 6 months. This program implemented a collaborative, prescriptive design process, whereby mathematical models of the governing physics were coupled with numerical optimization to achieve a favorable compromise among several competing design objectives. Computational simulations of fluid dynamics, electromagnetics, and rotordynamics were performed in two stages: first using reduced-order formulations to permit rapid optimization of the key design parameters; followed by rigorous CFD and FEA simulations for calibration, validation, and detailed optimization. Over 20 design configurations were initially considered, leading to three pump topologies, judged on the basis of a multi-component analysis including criteria for anatomic fit, performance, biocompatibility, reliability, and manufacturability. This led to fabrication of a mixedflow magnetically levitated pump, the PF3, having a displaced volume of 16.6 cc, approximating the size of a AA battery and producing a flow capacity of 0.3-1.5 L/min. Initial in vivo evaluation demonstrated excellent hemocompatibility after 72 days of implantation in an ovine. In summary, combination of prescriptive and heuristic design principles have proven effective in developing a miniature magnetically levitated blood pump with excellent performance and biocompatibility, suitable for integration into chronic circulatory support system for infants and young children; aiming for a clinical trial within 3 years.

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Section: Discussionmentioning

confidence: 99%

PediaFlow™ Maglev Ventricular Assist Device: A Prescriptive Design Approach

Antaki

Ricci

Verkaik

et al. 2010

Cardiovasc Eng Tech

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“…Although the focus of this work is the application of CISAT, there has been extensive use of agents to model design teams. These include process modeling [11,12] to simulate complex design tasks, mental modeling during team problem-solving with respect to both interaction structure [13] and agent memory [14], exploration of the effect of team structure and task complexity on the formation of transactive memory [15,16], improve managerial planning in product development [17], analyze adaptive team behavior in response to disruptions [18] and generative design via agent modeling [19,20].…”

Section: Agent-based Modeling Of Design Teams Using Cisatmentioning

confidence: 99%

Design Strategy Transfer in Cognitively-Inspired Agents

Raina

McComb

Cagan

2018

Volume 2A: 44th Design Automation Conference

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Planning and strategizing are essential parts of the design process and are based on the designer's skill. Further, planning is an abstract skill that can be transferred between similar problems. However, planning and strategy transfer within design have not been effectively modeled within computational agents. This paper presents an approach to represent this strategizing behavior using a probabilistic model. This model is employed to select the operations that computational agents should perform while solving configuration design tasks. This work also demonstrates that this probabilistic model can be used to transfer strategies from human data to computational agents in a way that is general and useful. This study shows a successful transfer of design strategy from human-to-computer agents, opening up the possibility of deriving high-performing behavior from designers and using it to guide computational design agents. Finally, a quintessential behavior of transfer learning is illustrated by agents while transferring design strategies across different problems, improving agent performance significantly. The work presented in this study leverages a computational framework built by embedding cognitive characteristics into agents, which has shown to mimic human problem-solving in configuration design problems.

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“…Moss et al [15] later built upon A-Design, proposing that an understanding of the cognitive factors that come into effect during design have the potential to greatly improve the capabilities of automated computational design. Incorporating shape grammars into agent-based design, Orsborn and Cagan [16] presented a method for automated design generation driven by user or consumer preferences.…”

Section: Design Agentsmentioning

confidence: 99%

A Two-Tiered Grammatical Approach for Agent-Based Computational Design

Puentes

McComb

Cagan

2018

Volume 2A: 44th Design Automation Conference

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Early stages of the engineering design process are vital to shaping the final design; each subsequent step builds from the initial concept. Innovation-driven engineering problems require designers to focus heavily on early-stage design generation, with constant application and evaluation of design changes. Strategies to reduce the amount of time and effort designers spend in this phase could improve the efficiency of the design process as a whole. This paper seeks to create and demonstrate a two-tiered design grammar that encodes heuristic strategies to aid in the generation of early solution concepts. Specifically, this two-tiered grammar mimics the combination of heuristic-based strategic actions and parametric modifications employed by human designers. Rules in the higher-tier are abstract and potentially applicable to multiple design problems across a number of fields. These abstract rules are translated into a series of lower-tier rule applications in a spatial design grammar, which are inherently domain-specific. This grammar is implemented within the HSAT agent-based algorithm. Agents iteratively select actions from either the higher-tier or lower-tier. This algorithm is applied to the design of wave energy converters, devices which use the motion of ocean waves to generate electrical power. Comparisons are made between designs generated using only lower-tier rules and those generated using only higher-tier rules.

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Multiagent Shape Grammar Implementation: Automatically Generating Form Concepts According to a Preference Function

Cited by 30 publications

References 32 publications

PediaFlow™ Maglev Ventricular Assist Device: A Prescriptive Design Approach

PediaFlow™ Maglev Ventricular Assist Device: A Prescriptive Design Approach

Design Strategy Transfer in Cognitively-Inspired Agents

A Two-Tiered Grammatical Approach for Agent-Based Computational Design

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