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Personality Engineering with AI Agents: A New Methodology for Negotiation Research

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arXiv:2605. 20554v1 Announce Type: new Abstract: According to canonical negotiation theory, people's success in a negotiation depends on how well they balance competing demands--empathizing and asserting, demonstrating concern for other and concern for self, being soft on the people and hard on the problem.

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Authors: Michelle A. Vaccaro, Jared R. Curhan
Released: 2026-05-22 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Personality Engineering with AI Agents: A New Methodology for Negotiation Research overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: persona, class, under, soft, eval, control, test. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2605.20554

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