The paper investigates the emergence and probability of cooperation in repeated common-good-games in different network topologies. A multi-agent model is presented with agents interpreted as regularly and precariously employed workers which contribute with different probabilities to the common good of an income maintenance system. Agents memorize success and failure of investments and change probabilities in regard to their experiences. Differently structured neighborhoods, analytically seized in form of network topologies, support and constrain probability dynamics. Results indicate that the conditions supporting the emergence of cooperation might be sub-optimal for the maintenance of cooperation and vice versa.

Neighborhood Technologies expands upon sociologist Thomas Schelling’s wellknown study of segregation in major American cities, using this classic work as the basis for a new way of researching social networks across disciplines. Up to now, research has focused on macrolevel behaviors that, together, form rigid systems of neighborhood relations. But can neighborhoods, conversely, affect larger, global dynamics? This volume introduces the concept of “neighborhood technologies” as a model for intermediate, or meso-level, research into the links between local agents and neighborhood relations. Bridging the sciences and humanities, Tobias Harks and Sebastian Vehlken have assembled a group of contributors
who are either natural scientists with an interest in interdisciplinary research or tech-savvy humanists. With insights into computer science, mathematics, sociology, media and cultural studies, theater studies, and architecture, the book will inform new research.