Keynote Title: Agent-based Models for Exploring Social Complexity, with an Application of Network Analysis to Agents
Keynote Lecturer: Pietro Terna
Presented on: 23/07/2015, Colmar, Alsace, France
Abstract: Thinking to agent-based models as artifacts, useful to explore economic complexity, means to introduce three concepts: (i) on the technical side, the agent-based methodology; (ii) in the social science perspective, the idea of building artifacts also in the social domain; (iii) in a more general view, the idea of complexity. With an impressive image, this way of researching involves the application of the Galileo’s method in social sciences.Remembering the theoretical roots in cybernetics and, more recently, in complexity science, we need also technical roots, with the capability of building models that could be accepted by a wide audience.Agent-based models can be also particularly useful for policy-making, mainly if they are both quite simple in their structure and highly sophisticated in their outcomes. The pursuing of simplicity and sophistication can be made more efficacious by applying network analysis to the emergent results.
Presented at the following Conference:
- SIMULTECH, 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications