Group Cohesion in Multi-Agent Scenarios as an Emergent Behavior

TL;DR

This paper presents a multi-agent simulation using the PSI cognitive architecture demonstrating how intrinsic needs lead to emergent social behaviors like altruism, aggression, and cohesion, influenced by parameters and environmental factors.

Contribution

It introduces a novel simulation framework showing how psychological needs and biases produce human-like social behaviors in agents.

Findings

Agents exhibit altruism and adversarial behaviors based on needs.

Parameter changes significantly affect agent social dynamics.

Environmental factors can lead to unexpected social bonds.

Abstract

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.