2014 | OriginalPaper | Buchkapitel
Cooperate Or Defect? How an Agent Based Model Simulation on Helping Behavior Can Be an Educational Tool
verfasst von : Andrea Ceschi, Dorina Hysenbelli, Riccardo Sartori, Giuseppe Tacconi
Erschienen in: Methodologies and Intelligent Systems for Technology Enhanced Learning
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Over the last years, Agent Based Models (ABMs) have become an important instrument to simulate social complex phenomena. At the same time, they have shown interesting implications for learning activities. To this purpose, we report a simulation on helping behavior carried out by means of an Agent Based Model (ABM) based on four types of different virtual agents: Warm-Glow Cooperators (WG), who give help because it makes them feel better; Gratitude Cooperators (GC), who give help because they previously received help; Cooperators (C), who give help because of both the reasons mentioned above; Defectors (D) who do not give help at all. We explore the pro-social behavior of each type of agents and the system where they live for a certain amount of time in different situations. This specific ABM shows, in the most effective way, why we should increase the level of helping behavior in the population. Furthermore, assuming that giving and receiving help can be both considered positive activities, WG and GC agent strategies should be those who allow to derive the greatest benefit overall. Taking also in account the pedagogical implications of ABMs, the present simulation can be considered as a good instrument to explain dynamics of helping behavior in a virtual society.