2022/11/03 by Gianluca Georg Alois Volkmer, Volkmer, Gianluca Georg Alois, Nabil Alsabah +1
Physics and Astronomy · Social Sciences · #Artificial Intelligence (cs.AI) #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Opinion Dynamics and Social Influence
paper · pdf · doi:10.48550/arxiv.2211.02089
openalex publication_date 2022/11/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we elaborate on the design and discuss the results of a multi-agent simulation that we have developed using the PSI cognitive architecture. We demonstrate that imbuing agents with intrinsic needs for group affiliation, certainty and competence will lead to the emergence of social behavior among agents. This behavior expresses itself in altruism toward in-group agents and adversarial tendencies toward out-group agents. Our simulation also shows how parameterization can have dramatic effects on agent behavior. Introducing an out-group bias, for example, not only made agents behave aggressively toward members of the other group, but it also increased in-group cohesion. Similarly, environmental and situational factors facilitated the emergence of outliers: agents from adversarial groups becoming close friends. Overall, this simulation showcases the power of psychological frameworks, in general, and the PSI paradigm, in particular, to bring about human-like behavioral patterns in an emergent fashion.