Evaluating a Plan Recognition Agent for the Game Pandemic with Human Players

Descripción:

Cooperation between AI agents and humans is of ever greater importance. In this paper we present an AI agent for the game Pandemic that was specifically designed to play cooperatively with a human player. Our agent utilizes planning to determine which actions to perform, and plan recognition to determine the current goal of its cooperator in order to assist them. We also present an experiment we performed with human participants, and how our agent performs at a level that is comparable to other AI agents playing with themselves, when playing with a human player, as well as the impact of plan recognition on how the participants perceive the AI agent.

Tipo de publicación: Conference Paper

Publicado en: 2021 IEEE Conference on Games (CoG)

Autores
  • Sauma-Chacón, Pablo
  • Eger, Markus

Investigadores del CITIC asociados a la publicación
Jeisson Hidalgo-Céspedes
Markus Eger

Proyecto asociado a la publicación

DOI BIBTEXT

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Cita bibliográfica
Evaluating a Plan Recognition Agent for the Game Pandemic with Human Players