Developing multiagent systems for design activity analysis

Choulier, Denis; Fougères, Alain-Jérôme; Ostrosi, Egon

doi:10.1016/j.cad.2014.10.007

Cited by 9 publications

(3 citation statements)

References 56 publications

(68 reference statements)

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“…As among the main characteristics of agent systems are adaptability and flexibility, they are well-suited to deal with the dynamic nature of design which is particularly important in conceptual design stages. A multi-agent system called ADEA (Agents-based Design Activity Analysis) for modeling, simulating, and analysing design activity is proposed in [23]. The design space is modelled as a network of design parameter agents.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Agent System in Education Facility Design

Strug,

Ślusarczyk

2023

Applied Sciences

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This paper deals with a multi-agent system which supports the designer in solving complex design tasks. The behaviour of design agents is modelled by sets of grammar rules. Each agent uses a graph grammar or a shape grammar and a database of facts concerning the subtask it is responsible for. The course of the design process is determined by the interaction between specialised agents. Space layouts of designs are represented by attributed graphs encoding both topological structures and semantic properties of solutions. The agents work in parallel on the common graph, independently generating layouts of different design components while specified node labels evoke agents using shape grammars. The agents’ cooperation allows them to combine a form-oriented approach with a functional-structural one in the design process, where the agents generate the general 3D form of the object based on design requirements together with the space layout based on the functional aspects of the solution. Based on the given design criteria, the agents search for admissible solutions within the design space that constitutes their operating environment. The proposed approach is illustrated by the example of designing kindergarten facilities.

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Section: Related Workmentioning

confidence: 99%

A Multi-Agent System in Education Facility Design

Strug,

Ślusarczyk

2023

Applied Sciences

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“…Product design and development require distributed collaboration. Designers must consider product characteristics and constraints at various levels [9]. To create a strong brand identify, a steady stream of new ideas is needed, while conforming to the brand's history and culture [38].…”

Section: Brand Identitymentioning

confidence: 99%

Direct Generation of Cartesian Grid for As-built CFD Analysis from Laser-scanned Point Clouds

Ishikawa¹,

Kanai²,

Date³

2021

CADandA

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When developing new products, brand designers must analyse related products, which is a complicated and time-consuming process. Modern product design often requires complex engineering processes; product development requires extensive knowledge but there is also a demand for shorter product design cycles. Therefore, we propose a method based on extension theory and the analytic hierarchy process for identifying product-related knowledge, to aid the development of new products. First, based on our understanding of extenics, matter-element and relational meta-models of product form, function, and structure are established. Then, we define different primitives of brand identity. Finally, using an "extensional analytic hierarchy process" (EAHP), a hierarchy is established and the weights of different primitives are calculated. Various combinations of primitives are used to facilitate knowledge transfer for computer-aided intelligent design. Design data for multiple cases are analysed to verify the feasibility and effectiveness of the method. The method was verified in a physiological signal experiment, and the results show that the method can effectively accumulate product knowledge. Rapid data mining is important for market competitiveness.

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“…In such a sociotechnical process, large quantities of information and knowledge are widely distributed across multiple networked actors. CBDC allow designers in a cross-disciplinary design team to simultaneously select, create, modify, and evaluate design and manufacturing targets and real parameters of a product model (Choulier et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations

et al. 2015

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Cloud-based design for configurations can be referred to as a service-oriented networked design for configurations model. However, cloud-based models also pose challenges such as reliability, availability, capability, ability, adaptability of resources, and services across spatial boundaries. Multi-scale design can presumably stimulate greater intelligence in cloud-based models. Using the concepts of the fuzzy holon and the fuzzy attractor, this paper proposes the fuzzy holonic approach to address multi-scale design for configurations. A fuzzy design holon is defined through two basic holons: fuzzy function holon and fuzzy solution holon. A fuzzy attractor is defined as a fuzzy function holon or fuzzy function solution toward which a design tends to evolve. The proposed fuzzy holon model is driven by two conflicting drives: (a) completeness of fuzzy function holons and fuzzy solution holons, and (b) discrimination of fuzzy function holons and fuzzy solution holons. Through simulations, four possible states of behavior of fuzzy holon design are found: (a) the impossibility state characterized by the impossibility of fuzzy holon creation; (b) the creation and destruction state sometimes characterized by the creation of fuzzy holons and sometimes the destruction of fuzzy holons, (c) the development state characterized by a natural creation and development of fuzzy holons and (d) the failure state characterized by the interruption of the development of the fuzzy design holon and the destruction of already created fuzzy design holon. The model explains that design is not an orderly and well behaved phenomenon. It shows that fuzzy holon design is a discontinuous phenomenon.Keywords Intelligent design · Cloud-based design and manufacturing · Cloud-based design for configuration · Multi scale design · Fuzzy holon design

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Developing multiagent systems for design activity analysis

Cited by 9 publications

References 56 publications

A Multi-Agent System in Education Facility Design

A Multi-Agent System in Education Facility Design

Direct Generation of Cartesian Grid for As-built CFD Analysis from Laser-scanned Point Clouds

Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations

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