A Multiagent Framework for Querying Distributed Digital Collections. - Jan de Mooij; Can Kurtan; Jurian Baas; Mehdi Dastani (ICAART (1), 2020)

PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. - Parantapa Bhattacharya; A. Jan de Mooij; Davide Dell'Anna; Mehdi Dastani; Brian Logan 001; Samarth Swarup (EMAS@AAMAS, 2021)

Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (AMPM@JURIX, 2021)

Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (MABS, 2021)

Large-scale Data-driven Agent-based Simulation of Covid-19. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (Zenodo, 2021)

Sim-2APL - A Practical Agent Programming Language for Simulation. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (Zenodo, 2021)

A Computational Framework for Organizing and Querying Cultural Heritage Archives. - Jan de Mooij; Can Kurtan; Jurian Baas; Mehdi Dastani (ACM Journal on Computing and Cultural Heritage, 2022)

CacheIR: The Benefits of a Structured Representation for Inline Caches. - Jan de Mooij; Matthew Gaudet; Iain Ireland; Nathan Henderson; José Nelson Amaral (MPLR, 2023)

A framework for modeling human behavior in large-scale agent-based epidemic simulations. - Jan de Mooij; Parantapa Bhattacharya; Davide Dell'Anna; Mehdi Dastani; Brian Logan 001; Samarth Swarup (Simul., 2023)

GenSynthPop-Python: Generating a Spatially Explicit Synthetic Population of Agents and Households from Aggregated Data. - Jan de Mooij; Tabea S. Sonnenschein; Marco Pellegrino; Mehdi Dastani; Dick Ettema; Brian Logan 001; Judith Anne Verstegen (Zenodo, 2024)

GenSynthPop-Python: Generating a Spatially Explicit Synthetic Population of Agents and Households from Aggregated Data. - Jan de Mooij; Tabea S. Sonnenschein; Marco Pellegrino; Mehdi Dastani; Dick Ettema; Brian Logan 001; Judith Anne Verstegen (Zenodo, 2024)

GenSynthPop-Python. - Jan de Mooij; Tabea S. Sonnenschein; Marco Pellegrino; Mehdi Dastani; Dick Ettema; Brian Logan 001; Judith Anne Verstegen (Zenodo, 2024)

TabeaSonnenschein/GenSynthPop: R-package for Generating Representative Spatially Explicit Synthetic Populations. - Tabea S. Sonnenschein; Jan de Mooij; Marco Pellegrino; Mehdi Dastani; Dick Ettema; Brian Logan 001; Judith Anne Verstegen (Zenodo, 2024)

GenSynthPop: generating a spatially explicit synthetic population of individuals and households from aggregated data. - Jan de Mooij; Tabea S. Sonnenschein; Marco Pellegrino; Mehdi Dastani; Dick Ettema; Brian Logan 001; Judith Anne Verstegen (Auton. Agents Multi Agent Syst., 2024)