Journal of Information Technology in Construction
ITcon Vol. 25, pg. 398-415, http://www.itcon.org/2020/23
Swarm modelling framework to improve design support systems capabilities
DOI: | 10.36680/j.itcon.2020.023 | |
submitted: | October 2019 | |
revised: | April 2020 | |
published: | August 2020 | |
editor(s): | Obonyo E | |
authors: | Gabriele Novembri, Assistant Professor,
Department of Civil, Constructional and Environmental Engineering – DICEA, Sapienza – University of Rome; gabriele.novembri@uniroma1.it Francesco Livio Rossini, research fellow, Department of Civil, Constructional and Environmental Engineering – DICEA, Sapienza – University of Rome; francesco.rossini@uniroma1.it | |
summary: | 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. | |
keywords: | Swarm agent, Agent-Based simulations, BIM, Project Management, Artificial Intelligence, Project Management, Design Support Systems | |
full text: | (PDF file, 0.699 MB) | |
citation: | Novembri G, Rossini F L (2020). Swarm modelling framework to improve design support systems capabilities, ITcon Vol. 25, pg. 398-415, https://doi.org/10.36680/j.itcon.2020.023 | |
statistics: |