Tuesday 30 Jul, 11:30 a.m. — 1 p.m.

We will discuss why and how process-based frameworks can be used to represent different kinds of interactions and the emergence of structures from such basic interactions in different domains. On the one hand, we will present lectures of foundational kind, i.e. explaining the basics of these frameworks as well as some relevant mathematical and algorithmic issues, and on the other hand we will present novel applications related to areas such as ecology, evolution, sustainability, and others. Read more

The fields of social learning and cultural evolution aim at understanding how the exchange of knowledge within a group of individuals influences their performance. While cultural evolution focuses on how collective knowledge evolves over time within a population, social learning is concerned with the exchange of knowledge among individuals. Cultural evolution builds upon the mechanisms offered by social learning. This relationship is visible within the Alife community as social learning and cultural evolution are studied using similar methodologies, such as evolutionary robotics, evolutionary game theory, and evolutionary algorithms. This edition of the workshop will mainly, but not exclusively, focus on grand challenges of social learning and cultural evolution research in artificial life. Read more

The aim of this workshop is to bring together an exciting cross section of people from the fields of synthetic ecology, microbial ecology, artificial life and beyond to develop and consolidate emerging new approaches and ways of thinking to design and manipulate microbial ecosystems. Our scope spans naturally-occuring communities to synthetic ecosystems, as well as artificially-selected or manipulated “hybrid” systems. Read more