Skip to main content
Article thumbnail
Location of Repository

Constructing Game Agents from Video of Human Behavior

By Nan Li, David J. Stracuzzi, Gary Cleveland, Tolga Könik, Dan Shapiro, Matthew Molineaux, David Aha and Kamal Ali

Abstract

Developing computer game agents is often a lengthy and expensive undertaking. Detailed domain knowledge and decision-making procedures must be encoded into the agent to achieve realistic behavior. In this paper, we simplify this process by using the ICARUS cognitive architecture to construct game agents. The system acquires structured, high fidelity methods for agents that utilize a vocabulary of concepts familiar to game experts. We demonstrate our approach by first acquiring behaviors for football agents from video footage of college football games, and then applying the agents in a football simulator

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.180.8201
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.knexusresearch.com/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.