Improving Dialog Systems for Negotiation with Personality Modeling

  title={Improving Dialog Systems for Negotiation with Personality Modeling},
  author={Runzhe Yang and Jingxiao Chen and Karthik Narasimhan},
In this paper, we explore the ability to model and infer personality types of opponents, predict their responses, and use this information to adapt a dialog agent’s high-level strategy in negotiation tasks. Inspired by the idea of incorporating a theory of mind (ToM) into machines, we introduce a probabilistic formulation to encapsulate the opponent’s personality type during both learning and inference. We test our approach on the CRAIGSLISTBARGAIN dataset (He et al., 2018) and show that our… Expand

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