Modelling movement for collective adaptive systems with CARMA
Natalia Zo\'n, Vashti Galpin, Stephen Gilmore

TL;DR
This paper introduces a modeling approach using the CARMA language and tools to simulate movement and spatial interactions in collective adaptive systems, demonstrated through pedestrian movement on a network.
Contribution
It presents a novel graphical editor for CARMA that enables spatial structure specification and template generation for modeling movement in CAS.
Findings
Effective modeling of spatial interactions in CAS.
Successful simulation of pedestrian movement.
Enhanced tools for spatially-aware system modeling.
Abstract
Space and movement through space play an important role in many collective adaptive systems (CAS). CAS consist of multiple components interacting to achieve some goal in a system or environment that can change over time. When these components operate in space, then their behaviour can be affected by where they are located in that space. Examples include the possibility of communication between two components located at different points, and rates of movement of a component that may be affected by location. The CARMA language and its associated software tools can be used to model such systems. In particular, a graphical editor for CARMA allows for the specification of spatial structure and generation of templates that can be used in a CARMA model with space. We demonstrate the use of this tool to experiment with a model of pedestrian movement over a network of paths.
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