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Group Cohesion in Multi-Agent Scenarios as an Emergent Behavior

arXiv 2211.02089 ↗First posted 3 Nov 2022cs.MA cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 33 references that are in the map. First posted on arXiv 3 Nov 2022.

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References · 2

  1. 2019Emergent Tool Use From Multi-Agent Autocurriculacited by 313
  2. 2018Human-level performance in first-person multiplayer games with population-based deep reinforcement learningcited by 264

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