Socio-technical systems are complex adaptive entities that require the engagement of social and technical elements in an environment to reach certain goals. In order to understand, analyze or design such systems, advanced tools are required. One of the major tools for understanding socio-technical systems is agent-based modeling. In recent years, social scientists, including economists and policy makers, have been using agent-based models to tackle their problem domains. Building artificial societies by combining the multi-agent systems view and domain knowledge has become a challenge, because of the complexity involved.
AMPLE aims to provide a shared platform for the modeling and the organization design communities in order to discuss mutual effect of models on societies and vice versa. More than mere design or analysis tools, agent-based models and simulations can impact the way groups, organizations, and societies are managed and adaptation is shaped. Computational models are increasingly used for the evaluation of institutional decisions and policies and the what-if analysis of potential changes such as re-engineering of the tasks, structures, innovations and societal effects of policies.
The goal of AMPLE is to connect agent and artificial society research on the one hand, with policy making, institutional analysis and tools like system dynamics and gaming on the other. The combination could have benefits for the further enrichment of agent–based modeling and simulation. By gathering these different perspectives, we aim to explore how agent-research can be used or improved to assist with policy making in the social sciences.
Topics of particular interest for AMPLE include, but are not limited to:
- Policy making: (tools and methods for) analysis, simulation, evaluation
- Agent societies: design and simulation
- Formal methods for specifying policies in coordination and organizational structures;
- Models for verification, validation and visualization of simulations for policy making
- Integration of normative and social aspects: formal aspects and practical issues
- Agent-based models for decision making:
- Social networks: influence in decision making; representation; models for simulation
- Culture and social norms: influence in decision making; representation; models for simulation
- Design for values in policy making
- Comparison between System Dynamics and Agent-based modeling
- Gaming: role in policy analysis; relation to simulation