Descripción:
Cooperation between human players and AI agents in games is a subject of great interest in the research community. In this paper we propose a new domain as a challenge for future AI research: the cooperative game Pandemic. This game represents a challenge because it requires cooperation between players in an environment with incomplete information. Additionally, we propose a first approach for a cooperative agent for the game, that uses planning in conjunction with plan recognition. We also propose an experiment to test the mentioned approach. In this paper we argue why Pandemic makes a compelling domain for AI research, the status of our project, as well as which challenges remain to be addressed.
Tipo de publicación: Conference Paper
Publicado en: Sixteenth Artificial Intelligence and Interactive Digital Entertainment Conference
Autores- Pablo Sauma Chacon
- Markus Eger
Investigadores del CITIC asociados a la publicación
Markus Eger
Mag. Pablo Sauma Chacón
Proyecto asociado a la publicación
Proyecto sombrilla