Applications of Agent Based Simulation

Davidsson, Paul; Holmgren, Johan; Kyhlbäck, Hans; Mengistu, Dawit; Persson, Marie

doi:10.1007/978-3-540-76539-4_2

Cited by 27 publications

(15 citation statements)

References 15 publications

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“…The use of standard simulation and development frameworks is, however, surprisingly rare. In 2007, Davidsson et al [7] surveyed agent-based simulations reported in the literature. They noted that nearly half of the reviewed papers did not state how the simulations were implemented.…”

Section: Usage Scenario: Distributed Auctionsmentioning

confidence: 99%

A Framework for Developing Agent-Based Distributed Applications

Oey

Splunter

Ogston

et al. 2010

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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Abstract-The development of large-scale distributed multiagent systems in open dynamic environments is a challenge. System behavior is often not predictable and can only be evaluated by execution. This paper proposes a framework to support design and development of such systems: a framework in which both simulation and emulation play an important role. A distributed agent platform (AgentScape) is used to illustrate the potential of the framework.

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Section: Usage Scenario: Distributed Auctionsmentioning

confidence: 99%

A Framework for Developing Agent-Based Distributed Applications

Oey

Splunter

Ogston

et al. 2010

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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“…Numerous researches have used agent-based modeling to mimic different systems in various fields of application. This approach of modeling has been employed to analyze organizational behaviors, transportation, economic, social, ecological, and robotic systems [28]. In the field of construction, agent-based modeling has grabbed the interest of several researchers since construction operations are inherently complex and non-linear [29].…”

Section: Agent-based Modellingmentioning

confidence: 99%

Analysis of improvisation in construction through agent-based modelling

Alhussein¹,

Hamzeh²,

Yassin³

2018

Creative Construction Conference 2018 - Proceedings

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Improvisation is rational and decisive, deterministic and emergent, but impulsive and fuzzy. While the results of improvisation are perfectly understandable after the fact, the decision process is spontaneous in its making. Improvisational practices continue to exist within numerous construction operations where unforeseen uncertainty cannot be fully avoided. Therefore, a construction project will greatly benefit from applying an adaptive planning system that employs improvisation and hence reacts rapidly and wisely in case of unplanned or newly emerging problems. This study aims at developing a simulation model that depicts the improvisation process at the level of planners associated with different construction trades and identify different influencing factors. First, after attaining a thorough understanding of the process based on previous research studies, agent-based modelling is used to model the improvisation process that occurs at the level of each agent (planner), as well as the interaction processes that arise between the agents and the environment (construction project), and among the agents themselves. The simulation model takes into consideration several types of parameters that highly influence how each planner improvises. These parameters are planner-related, projectrelated, as well as problem-related. The contribution of this study lies in developing a better understanding of the improvisation mechanism within construction as well as identifying the impact of various types of influencing factors on the overall improvisation performance. Future research is recommended to better enhance the practices of improvisation for different construction projects.

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“…In another survey Davidsson et al (2007) presented a framework that was used for structured analysis of agent-based simulation models. Even though the focus in the survey by Davidsson et al was on a rather wide range of application areas it is relevant for our work since its purpose was to analyze agent-based models.…”

Section: Related Workmentioning

confidence: 99%