The disruptive development of ICT technologies can be a decisive element in bringing the productivity of the construction sector closer to the highest performing ones, such as automotive. We base the proposed research on the improvement of existing tools with artificial intelligence techniques, with the goal of having a self-adaptive model regarding the objectives to achieve. So, we present a general framework based on the Swarm Simulation Modelling approach. Building objects, goals, constraints and design solutions will be represented as a Multi-Agents System able to communicate, interact and integrate over the existing BIM systems, ensuring a reactive and proactive behaviour. Finally, the model presents many interconnected intelligent agents, linked to building object. They can sense external ‘perturbations’ and react by re-organising their structure to satisfy imposed constraints. We can find the near optimal solution via the DCOP approach, autonomously.
Swarm building information modeling. An hybrid agents-actor framework to improve design support systems capabilities / Novembri, Gabriele; Rossini, Francesco. - In: ELECTRONIC JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION. - ISSN 1403-6835. - (2020).
Swarm building information modeling. An hybrid agents-actor framework to improve design support systems capabilities
novembri, gabriele
Primo
Supervision
;rossini, francesco
Secondo
Methodology
2020
Abstract
The disruptive development of ICT technologies can be a decisive element in bringing the productivity of the construction sector closer to the highest performing ones, such as automotive. We base the proposed research on the improvement of existing tools with artificial intelligence techniques, with the goal of having a self-adaptive model regarding the objectives to achieve. So, we present a general framework based on the Swarm Simulation Modelling approach. Building objects, goals, constraints and design solutions will be represented as a Multi-Agents System able to communicate, interact and integrate over the existing BIM systems, ensuring a reactive and proactive behaviour. Finally, the model presents many interconnected intelligent agents, linked to building object. They can sense external ‘perturbations’ and react by re-organising their structure to satisfy imposed constraints. We can find the near optimal solution via the DCOP approach, autonomously.File | Dimensione | Formato | |
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Novembri_Swarm-building-information_2020.pdf
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