TY - GEN
T1 - Exploring Selfish versus Altruistic Behaviors in the Ultimatum Game with an Agent-Based Model
AU - Scalco, Andrea
AU - Ceschi, Andrea
AU - Sartori, Riccardo
AU - Rubaltelli, Enrico
PY - 2015
Y1 - 2015
N2 - In the present study we developed a simulation where agents play repeatedly the ultimatum game with the aim of exploring their earnings for several thresholds of willingness to accept proposals. At the same time, the scope is also to provide a simple and easily understandable simulation of the ultimatum game. Particularly, the simulation generates two kinds of agents, whose proposals are generated accordingly to their selfish or selfless behavior; subsequently, agents compete in order to increase their wealth playing the ultimatum game with a random-stranger matching. The trend emerged by simulation charts shows how, even when altruistic agents bid higher proposals than those following selfish behaviors, the average mean cash earned is higher for the former agents than the latter. A second fact is that, looking at the system as a whole, altruistic punishment leads to a reduction of the resources exploited by the agents. Finally, we introduced the psychological construct of trait emotional intelligence, briefly discussing the value of its implementation into computational simulations.
AB - In the present study we developed a simulation where agents play repeatedly the ultimatum game with the aim of exploring their earnings for several thresholds of willingness to accept proposals. At the same time, the scope is also to provide a simple and easily understandable simulation of the ultimatum game. Particularly, the simulation generates two kinds of agents, whose proposals are generated accordingly to their selfish or selfless behavior; subsequently, agents compete in order to increase their wealth playing the ultimatum game with a random-stranger matching. The trend emerged by simulation charts shows how, even when altruistic agents bid higher proposals than those following selfish behaviors, the average mean cash earned is higher for the former agents than the latter. A second fact is that, looking at the system as a whole, altruistic punishment leads to a reduction of the resources exploited by the agents. Finally, we introduced the psychological construct of trait emotional intelligence, briefly discussing the value of its implementation into computational simulations.
KW - Ultimatum game
KW - Agent-based model
KW - Altruistic behavior
KW - Social simulations
KW - Emotional intelligence
U2 - 10.1007/978-3-319-19629-9_22
DO - 10.1007/978-3-319-19629-9_22
M3 - Published conference contribution
SN - 9783319196282
T3 - Advances in Intelligent Systems and Computing
SP - 199
EP - 206
BT - Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability
A2 - Bajo, Javier
A2 - Hernandez, Josefa Z.
A2 - Mathieu, Philippe
A2 - Campbell, Andrew
A2 - Fernández-Caballero, Antonio
A2 - Moreno, María N.
A2 - Julián, Vicente
A2 - Alonso-Betanzos, Amparo
A2 - Jiménez-López, María Dolores
A2 - Botti, Vicente
PB - Springer
CY - Cham
T2 - 13th International Conference on Practical Applications of Agents, Multi-Agent Systems, and Sustainability (PAAMS)
Y2 - 3 June 2015 through 5 June 2015
ER -