Human behavior; Evolution of cooperation; Experimental economics; Population games; Group formation
Antonioni Alberto, Pereda María, Cronin Katherine A., Tomassini Marco, Sánchez Angel (2018), Collaborative hierarchy maintains cooperation in asymmetric games, in Scientific Reports
, 8(1), 5375-5375.
Lozano Pablo, Antonioni Alberto, Tomassini Marco, Sánchez Angel (2018), Cooperation on dynamic networks within an uncertain reputation environment, in Scientific Reports
, 8(1), 9093-9093.
Stella Massimo, Selakovic Sanja, Antonioni Alberto, Andreazzi Cecilia S (2018), Ecological multiplex interactions determine the role of species for parasite spread amplification, in eLife
, 7, 1-36.
Iotti Bryan, Antonioni Alberto, Bullock Seth, Darabos Christian, Tomassini Marco, Giacobini Mario (2017), Infection dynamics on spatial small-world network models, in Physical Review E
, 96(5), 052316-052316.
Antonioni Alberto, Tomassini Marco (2017), A growing social network model in geographical space, in Journal of Statistical Mechanics: Theory and Experiment
, 2017(9), 093403-093403.
Antonioni Alberto, Cardillo Alessio (2017), Coevolution of Synchronization and Cooperation in Costly Networked Interactions, in Physical Review Letters
, 118(23), 238301-238301.
The main scope of this research project is to combine complex systems science and experimental economics to make a breakthrough in our understanding of the emergence and stability of cooperation in hierarchical societies. Departing from precedent investigations on cooperation carried out by many researchers from the economics, biology and physics community, I want to go beyond mere altruistic cooperation and study how people work together to achieve common goals when they are organized as a hierarchical society. More precisely, this research work aims to understand how social relationships, such as hierarchical ones, function to impede or promote cooperation in human societies, bridging the current gap between studies of human behaviour and theoretical predictions. I already developed a novel experimental framework which extends results obtained investigating cooperative behaviour from a more traditional experimental economics viewpoint, i.e., between anonymous individuals devoid of any hierarchical structure. Within this study I investigated how people behave in the presence of a hierarchical structure when playing an asymmetric Prisoners Dilemma game. In the FNS advance postdoc mobility extension grant, I will study how cooperation and human interactions act in hierarchical groups when people are involved in population games, such as Public Goods Games or n-player Stag Hunt games. I will design new models of human behaviour and group dynamics, focusing on the study of emergent phenomena arising from the feedback between global features and individual actions. Such an interplay between experiments and modelling, which I have successfully applied in recent research, will lead to experimentally verifiable predictions and important implications for policy making. The role of hierarchy in population games is also very relevant to address problems such as the origin of the first human societies and management issues in large scale organisations.