1. Objective

This project involves the definition, modeling, and implementation of an agent-based model (ABM), also referred to as multi-agent-based simulation (MABS), for the simulation and analysis of a cyber-physical (social) system.

Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will expand the horizons of these critical systems.

— (U.S. National Science Foundation
2023)

The CPSS tightly integrates data processing into physical systems, cyberspace, and the social world through heterogeneous resources, including sensors, actuators, and computational systems to form a unit in cyber environments. Furthermore, the configuration and computation in a CPSS aim to achieve superior Quality of Service (QoS), quality of experiment, and performance. Therefore, the multi-objective optimization of the CPSS operation strongly depends on trustworthy and efficient computation and communication among several layers of the three subsystems.

— (Pasandideh et al.
2022)
cpss
Figure 1. The Cyber Physical Social System (CPSS) ecosystem. (Pasandideh et al., 2022)

Domains of application include (but not limited to) agriculture, aeronautics, building design, civil infrastructure, energy, environmental quality, healthcare and personalized medicine, manufacturing, transportation, and smart cities.

2. Description

Students are required to choose an existing or propose a new cyber-physical (social) system, in any domain, for analyzing. The system must meet a set of minimum criteria:

  • Representation of physical components

  • Multiple agents responsible for controlling (making decisions) or interacting (directly or indirectly) with the physical components

  • Dynamic system (system change over time)

Once chosen the cyber-physical system, the students have to

  • implement the model as an agent-based model using the Repast Simphony;

  • describe the cyber-physical system and the respective simulation model in a report structured using the ODD+D protocol;

  • deliver a presentation highlighting the purpose, design, and experiments performed using the model.

You can find examples of systems described using ODD+D at Example ODD and a basic template at Reporting Structure.

Platform Territoire

The Platform Territoire developed at Henri Fayol Institute. The Platform Territoire offers a set of datasets that can be used to representing different aspects of the cyber-physical system. Examples of datasets available are:

  • Road Network (St-Etienne or AURA region)

  • Transport Network (St-Etienne or AURA region)

  • Building location (OpenStreetMap)

  • Region boundaries, estimate people per region (IGN)

  • Social indicators, household (INSEE)

  • Vegetation (trees, green areas, courtyard)

  • Building digital twin (Espace Fauriel)

  • Shops St-Etienne Geo-referenced, logistics/delivery

The platform will be accessible via an API customized for the needs of the students and make available also a web interface for the presentation of the results of the simulation: static (Dashboard) or dynamic (real-time simulation).

3. References

  • Pasandideh, S., Pereira, P., & Gomes, L. (2022). Cyber-Physical-Social Systems: Taxonomy, Challenges, and Opportunities, IEEE Access. 10, pp. 42404-42419. doi: 10.1109/ACCESS.2022.3167441.

  • Wang, F. -Y. (2010). The Emergence of Intelligent Enterprises: From CPS to CPSS. IEEE Intelligent Systems. 25(4), pp. 85-88. doi: 10.1109/MIS.2010.104.

  • U.S. National Science Foundation (2023). Cyber-Physical Systems