Related papers: Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games

Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games

URL: http://arxiv.org/abs/2504.06868v3
Date: Mon, 28 Apr 2025 07:35:12 GMT
Title: Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games
Authors: Seungwon Lim, Seungbeen Lee, Dongjun Min, Youngjae Yu,
Abstract summary: We introduce PANDA: Personality Adapted Neural Decision Agents, a novel method for projecting human personality traits onto agents.<n>We deploy 16 distinct personality types across 25 text-based games and analyze their trajectories.<n>These findings underscore the promise of personality-adapted agents for fostering more aligned, effective, and human-centric decision-making in interactive environments.
Score: 14.443840118369176
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Artificial agents are increasingly central to complex interactions and decision-making tasks, yet aligning their behaviors with desired human values remains an open challenge. In this work, we investigate how human-like personality traits influence agent behavior and performance within text-based interactive environments. We introduce PANDA: Personality Adapted Neural Decision Agents, a novel method for projecting human personality traits onto agents to guide their behavior. To induce personality in a text-based game agent, (i) we train a personality classifier to identify what personality type the agent's actions exhibit, and (ii) we integrate the personality profiles directly into the agent's policy-learning pipeline. By deploying agents embodying 16 distinct personality types across 25 text-based games and analyzing their trajectories, we demonstrate that an agent's action decisions can be guided toward specific personality profiles. Moreover, certain personality types, such as those characterized by higher levels of Openness, display marked advantages in performance. These findings underscore the promise of personality-adapted agents for fostering more aligned, effective, and human-centric decision-making in interactive environments.

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