Modelación basada en agentes:

Abstract

Construction projects represent complex systems where the interactions between the multiple project resources and stakeholders change over time; however, traditional methods to manage construction projects typically cannot capture such complexity in its totality. Thus, limiting our understanding of such complexity on construction projects. A novel approach used to investigate complex adaptive systems, Agent-based modeling (ABM), allows modeling the interaction between multiple agents that leads to emergent behaviors. As such, this approach represents a feasible modeling technique to study the inherent complexity of construction projects by spending computing resources instead of actual resources, which can be more cost-effective. However, limited attention has been paid to this modeling technique in the construction and management field. This paper aims to discuss guidelines for implementing ABM in the construction sector by discussing its benefits and limitations. It was found that ABM allows the incorporation of otherwise unaccounted complexity associated with construction processes and projects. However, a limitation of ABM is that data to validate models can be difficult to obtain. It is expected that this study helps to encourage the use of ABM in the context of the construction engineering and management field to fully capture the complexity of construction projects and processes.

A Review of Agent-Based Modeling in Construction Management: An Analytical Framework Based on Multiple Objectives

“…Liang et al (2018) stated that the ABM method can help to clearly describe the construction process, subjects and complex variables of projects, and it can also solve the dynamic and uncertain problems caused by the constraints of basic factors such as time and space in a construction system. Araya (2020) found that the ABM method can effectively portray agents who can learn independently and produce adaptive behaviors to the changes in projects. Araya (2021) stated that ABM can effectively model the interaction process of relevant elements in the construction of complex system, simulate the entire evolution process of the system, and test the effects of policies and interventions on various scenarios.…”