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.
Highlights
Present-day buildings are complex systems that have to comply with an articulated framework of rules, requirements and codes of practice, ever more extensive and detailed (Bertelsen and Sacks, 2007)
The relevant aspect of these parts are related to the different problem that always recurs into the design process like the choice of a better representation framework, the complexity of building sector, and the limits of most-common methodologies; 2) methodology: in these sections, from 5 to 7, we describe the way used to apply the Swarm-simulation in the BIM environment, via the connection of data from different sources (BIM database, agent mode lling repositories etc); 3) further improvements and conclusion: the in-depth analysis on the Distributed Constraint Optimisation Problem (DCOP) is to be intended like the step of the research, that will be focused on the application of statistical approaches to solve best-solution comparison
Starting from the ‘Zwicky Box’ and the design support system envisioned by Engelbart which may be considered one of the most brilliant definitions of today's BIM systems, to the sophisticated representation techniques inspired by Artificial Intelligence (AI) the representation have always had a crucial role in the research activity aimed at the creation of support systems for the design activity (Fioravanti, Novembri & Rossini, 2017)
Summary
Present-day buildings are complex systems that have to comply with an articulated framework of rules, requirements and codes of practice, ever more extensive and detailed (Bertelsen and Sacks, 2007). The relevant aspect of these parts are related to the different problem that always recurs into the design process like the choice of a better representation framework, the complexity of building sector, and the limits of most-common methodologies; 2) methodology: in these sections, from 5 to 7, we describe the way used to apply the Swarm-simulation in the BIM environment, via the connection of data from different sources (BIM database, agent mode lling repositories etc); 3) further improvements and conclusion: the in-depth analysis on the Distributed Constraint Optimisation Problem (DCOP) is to be intended like the step of the research, that will be focused on the application of statistical approaches to solve best-solution comparison
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