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PALOMA is a language for the modelling and the analysis of systems composed by a multitude of spatially distributed interacting agents, whose spatial location is also relevant in determining their interaction.
You can find a detailed description of the language in the following papers:
PALOMA: A Process Algebra for Located Markovian Agents. Cheng Feng and Jane Hillston. In the 11th international conference on Quantitative Evaluation of Systems (QEST 2014). Preprint version.
Automatic Moment-Closure Approximation of Spatially Distributed Collective Adaptive Systems. Cheng Feng, Jane Hillston and Vashti Galpin. ACM Transactions on Modeling and Computer Simulation (TOMACS) 26.4 (2016): 26. link.
The PALOMA Eclipse Plug-in is a fully-featured development environment for PALOMA modelling.
- Built on the powerful Eclipse rich client platform
- Implemented in Java
- Available for Windows, Mac OS X, and Linux
- Editor and compiler for PALOMA models
- Support stochastic Gillespie simulation of PALOMA models
- Automatic generation of Matlab scripts for numerical simulation of PALOMA models
- Results plot built-in
You can download the User Manual for the PALOMA Eclipse Plug-in to see how to install and use the plug-in.
Here are three PALOMA models which are used in the TOMACS paper :