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@article{
  author = {F. LeRon Shults, Justin E. Lane and Katherine O’Lone},
  title = {Simulating Sustainable Societies: Uncertainty, Complexity and Multi-Agent Artificial Intelligence Modelling},
  journal = {UNDP (United Nations Development Programme)},
  year = {2024},
  location = {New York},
  URL = {},
  abstract = {This background paper provides a case study from a project led by The Woolf Institute that combined news media analysis tools, stakeholder interview methods and simulation technologies to shed light on (and help to mitigate) the dynamics of polarization and conflict in Northern Ireland, the Balkans and South Sudan. Utilizing multi-agent artificial intelligence models developed by CulturePulse, the project was able to identify the main drivers of conflict and cooperation in these regions.The models used psychologically realistic cognitive architectures and behavioral rules that take account of factors such as emotion, beliefs, norms, cultural identity and political ideology. Such tools can contribute to fulfilling the global Sustainable Development Goals, but only if relevant stakeholders and change agents are engaged in constructing empirically validated computational models and simulation experiments that can inform public discourse and policy planning and evaluation.}
}

AU - F. LeRon Shults, Justin E. Lane and Katherine O’Lone
TI - Simulating Sustainable Societies: Uncertainty, Complexity and Multi-Agent Artificial Intelligence Modelling
PT - Journal Article
DP - 2024
TA - UNDP (United Nations Development Programme)
AB - This background paper provides a case study from a project led by The Woolf Institute that combined news media analysis tools, stakeholder interview methods and simulation technologies to shed light on (and help to mitigate) the dynamics of polarization and conflict in Northern Ireland, the Balkans and South Sudan. Utilizing multi-agent artificial intelligence models developed by CulturePulse, the project was able to identify the main drivers of conflict and cooperation in these regions.The models used psychologically realistic cognitive architectures and behavioral rules that take account of factors such as emotion, beliefs, norms, cultural identity and political ideology. Such tools can contribute to fulfilling the global Sustainable Development Goals, but only if relevant stakeholders and change agents are engaged in constructing empirically validated computational models and simulation experiments that can inform public discourse and policy planning and evaluation.

%0 Journal Article
%A F. LeRon Shults, Justin E. Lane and Katherine O’Lone
%T Simulating Sustainable Societies: Uncertainty, Complexity and Multi-Agent Artificial Intelligence Modelling
%D 2024
%J UNDP (United Nations Development Programme)
%U ,
%X This background paper provides a case study from a project led by The Woolf Institute that combined news media analysis tools, stakeholder interview methods and simulation technologies to shed light on (and help to mitigate) the dynamics of polarization and conflict in Northern Ireland, the Balkans and South Sudan. Utilizing multi-agent artificial intelligence models developed by CulturePulse, the project was able to identify the main drivers of conflict and cooperation in these regions.The models used psychologically realistic cognitive architectures and behavioral rules that take account of factors such as emotion, beliefs, norms, cultural identity and political ideology. Such tools can contribute to fulfilling the global Sustainable Development Goals, but only if relevant stakeholders and change agents are engaged in constructing empirically validated computational models and simulation experiments that can inform public discourse and policy planning and evaluation.

TY  - JOUR
AU  - F. LeRon Shults, Justin E. Lane and Katherine O’Lone
TI  - Simulating Sustainable Societies: Uncertainty, Complexity and Multi-Agent Artificial Intelligence Modelling
PY  - 2024
JF  - UNDP (United Nations Development Programme)
UR  - ,
AB  - This background paper provides a case study from a project led by The Woolf Institute that combined news media analysis tools, stakeholder interview methods and simulation technologies to shed light on (and help to mitigate) the dynamics of polarization and conflict in Northern Ireland, the Balkans and South Sudan. Utilizing multi-agent artificial intelligence models developed by CulturePulse, the project was able to identify the main drivers of conflict and cooperation in these regions.The models used psychologically realistic cognitive architectures and behavioral rules that take account of factors such as emotion, beliefs, norms, cultural identity and political ideology. Such tools can contribute to fulfilling the global Sustainable Development Goals, but only if relevant stakeholders and change agents are engaged in constructing empirically validated computational models and simulation experiments that can inform public discourse and policy planning and evaluation.

TY  - JOUR
T1  - Simulating Sustainable Societies: Uncertainty, Complexity and Multi-Agent Artificial Intelligence Modelling
AU  - F. LeRon Shults, Justin E. Lane and Katherine O’Lone
PY  - 2024
JF  - UNDP (United Nations Development Programme)
UR  - ,
AB  - This background paper provides a case study from a project led by The Woolf Institute that combined news media analysis tools, stakeholder interview methods and simulation technologies to shed light on (and help to mitigate) the dynamics of polarization and conflict in Northern Ireland, the Balkans and South Sudan. Utilizing multi-agent artificial intelligence models developed by CulturePulse, the project was able to identify the main drivers of conflict and cooperation in these regions.The models used psychologically realistic cognitive architectures and behavioral rules that take account of factors such as emotion, beliefs, norms, cultural identity and political ideology. Such tools can contribute to fulfilling the global Sustainable Development Goals, but only if relevant stakeholders and change agents are engaged in constructing empirically validated computational models and simulation experiments that can inform public discourse and policy planning and evaluation.