{
  "annotation_id": "27b07096-166c-49b5-a5f0-867a6db31fbf",
  "date_created": "2026-02-17T05:53:05.103000Z",
  "date_modified": "2026-02-17T05:53:05.103000Z",
  "file_hash": "15ea01825ca621b9a49da70cc0026636ec4c1ec286320e6675bc210aa842fed5",
  "private": false,
  "record": {
    "abstract": "Human-like agents require modeling how dispositions interact with social structure. We present PsyAgent, which couples a Big Five trait prior with Bourdieu\u0027s cognitive-social co-structure. PsyAgent comprises: (i) Individual Structure (IS), a machine-usable profile encoding traits and facets, cognitive style, values, cultural and educational capital, and salient life episodes; and (ii) Multi-Scenario Contexting (MSC), role-relationship-norm frames spanning eight arenas (work, family, friendship, strangers and civic life, solitude and self-regulation, romance, learning, and public expression). At inference, fixed structured prompts bind the active scenario to the agent profile, yielding behavior that is stable yet context-sensitive. We instantiate IS and MSC to synthesize supervision (role-play dialogues, decision probes, feedback trajectories) and then fine-tune a small LLM. The resulting model produces consistent, identifiable persona-aligned behaviors for specified Big Five configurations and matches or exceeds several larger untuned LLMs and other untuned baselines on our metrics: persona consistency, contextual appropriateness, style matching, trait identifiability, and long-horizon stability. Ablations show IS chiefly improves trait fidelity and stylistic stability, while MSC drives norm awareness and decision fit; both are necessary for cross-scenario performance. PsyAgent offers a precise, data-efficient architecture for personality-grounded agents.",
    "arxiv_id": "2601.06158",
    "authors": [
      "Zibin Meng",
      "Kani Chen"
    ],
    "categories": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "title": "PsyAgent: Constructing Human-like Agents Based on Psychological Modeling and Contextual Interaction",
    "url": "https://arxiv.org/abs/2601.06158",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "ac98e638-467e-4aa6-82ba-ffe50e06b686",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}