Agent-Based Modeling and Analysis of Socio-Technical Systems

Sharpanskykh, Alexei

doi:10.1080/01969722.2011.595332

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…We report in Tables 1-3 a characterization of all the variables which are represented in an agent, and which influence the evolution of the simulated ATM system. The metrics built on top of these aspects (as discussed in Section IV-E) will allow to establish a characterization of the ATM sociotechnical system [27].…”

Section: Agent-based Atm Simulationmentioning

confidence: 99%

Simulation-Based Evolutionary Optimization of Air Traffic Management

Pellegrini¹,

Sanzo²,

Beatrice³

et al. 2020

IEEE Access

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In the context of aerospace engineering, the optimization of processes may often require to solve multi-objective optimization problems, including mixed variables, multi-modal and non-differentiable quantities, possibly involving highly-expensive objective function evaluations. In Air Traffic Management (ATM), the optimization of procedures and protocols becomes even more complicated, due to the involvement of human controllers, which act as final decision points in the control chain. In this article, we propose the use of computational intelligence techniques, such as Agent-Based Modelling and Simulation (ABMS) and Evolutionary Computing (EC), to design a simulation-based distributed architecture to optimize control plans and procedures in the context of ATM. We rely on Agent-Based fast-time simulations to carry out offline what-if analysis of multiple scenarios, also taking into account human-related decisions, during the strategic or pre-tactical phases. The scenarios are constructed using real-world traffic data traces, while multiple optimization variables governed by an EC algorithm allow to explore the search space to identify the best solutions. Our optimization approach relies on ad-hoc multiobjective performance metrics which allow to assess the goodness of the control of aircraft and air traffic regulations. We present experimental results which prove the viability of our approach, comparing them with real-world data traces, and proving their meaningfulness from an Air Traffic Control perspective.

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Section: Agent-based Atm Simulationmentioning

confidence: 99%

Simulation-Based Evolutionary Optimization of Air Traffic Management

Pellegrini¹,

Sanzo²,

Beatrice³

et al. 2020

IEEE Access

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“…TTL has proven to be a suitable formal language for the specification of agent-based models of complex sociotechnical systems (Bosse et al 2009;Sharpanskykh and Stroeve 2011;Sharpanskykh 2011). TTL is a variant of an order-sorted predicate logic (Manzano and Manzano 1996).…”

Section: Formal Modeling Languagementioning

confidence: 99%

Formal and computational modeling of anticipation mechanisms of resilience in the complex sociotechnical air transport system

Blok

Sharpanskykh

Vert

2018

Complex Adapt Syst Model

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IntroductionThe modern air transport system is a complex, highly dynamic, sociotechnical system with many diverse actors actively interacting with each other. With ever-growing numbers of passengers, as well as the increasing complexity and diversity of air transport operations, it becomes more and more of a challenge to manage the air transport system in an effective, safe, and resilient manner. This is especially evident when disruptions occur. Unexpected disruptions of air transport operations are often handled inefficiently, their effects persist for days, if not weeks (Delta Malfunction 2016; Boos 2017; Amsterdam Schiphol Airport 2017). Stranded passengers frequently complain about the lack of information and overall coordination of recovery processes. AbstractWith ever-growing numbers of passengers and complexity of the air transport system, it becomes more and more of a challenge to manage the system in an effective, safe, and resilient manner. This is especially evident when disruptions occur. Understanding and improving resilience of the air transport system and its adaptive capacity to disruptions is essential for the system's uninterrupted successful performance. Using theoretical findings from behavioral sciences, this paper makes the first steps towards formalization of the adaptive capacity of resilience of the air transport system with a particular focus on its ability to anticipate. To this end, an expressive logic-based language called Temporal Trace Language is used. The proposed approach is illustrated by a case study, in which anticipatory mechanisms are implemented in an agent-based airport terminal operations model, to deal with a disruptive scenario of unplanned and challenging passenger demand at the security checkpoint. Results showed that the timing of an adaptive action could have a significant influence on reducing the risk of saturation of the system, where saturation implies performance loss. Additionally, trade-off relations were obtained between cost, corresponding to the extra resources mobilized, and the benefits, such as a decrease in risk of saturation of the passenger queue.

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“…Cognitive specifications are particularly suitable to describe the dynamics of a proactive agent with reasoning capabilities about the environment, the formal organization, and its own states. Cognitive specifications may describe a great variety of human processes, e.g., perception, decision making (Sharpanskykh & Zia, 2012), attention management, trust (Sharpanskykh, 2011), workload.…”

Section: An Agent-based Multi-level Safety Analysis Approachmentioning

confidence: 99%

A Systemic Approach to Organizational Safety Modeling and Analysis

Sharpanskykh¹

2012

International Journal of Information Systems for Crisis Response and Management

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The structural and behavioral complexity of modern safety-critical organizations, such as incident management organizations, air navigation service providers, power plants, increases with every passing year. Such organizations are characterized by nonlinear dynamics involving many interrelated actors and processes. Safety issues that emerge from these complex dynamics remain increasingly hidden, until an incident or even a serious accident occurs. Traditional safety analysis methods developed long ago for much simpler organizations cannot help identifying, explaining and predicting many safety-related properties of modern organizations. To address this issue, in the paper a formal approach is proposed to establish relations between local dynamics of actors of a complex safety-critical organization and global safety-related properties that emerge from these dynamics. In contrast to the traditional approaches the organizational dynamics are specified by taking the agent perspective with an organizational layer. The approach is illustrated by a simulation case study, in which spread of safety-critical information in an air navigation service provider is investigated.

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Agent-Based Modeling and Analysis of Socio-Technical Systems

Cited by 5 publications

References 8 publications

Simulation-Based Evolutionary Optimization of Air Traffic Management

Simulation-Based Evolutionary Optimization of Air Traffic Management

Formal and computational modeling of anticipation mechanisms of resilience in the complex sociotechnical air transport system

A Systemic Approach to Organizational Safety Modeling and Analysis

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