Accession Number:

ADA554950

Title:

Constructing Game Agents from Video of Human Behavior

Descriptive Note:

Conference paper

Corporate Author:

KNEXUS RESEARCH CORP SPRINGFIELD VA

Personal Author(s):

• Li, Nan
• Stracuzzi, David J.
• Cleveland, Gary
• Konik, Tolga
• Shapiro, Dan
• Molineaux, Matthew
• Aha, David
• Ali, Kamal

Report Date:

2009-01-01

Pagination or Media Count:

7.0

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.

Descriptors:

• *BEHAVIOR
• *COMPUTER GAMES
• *HUMANS
• *MULTIAGENT SYSTEMS
• *TEAMS(PERSONNEL)
• *VIDEO IMAGES
• ARTIFICIAL INTELLIGENCE
• COGNITIVE SCIENCE
• SKILLS
• SYMPOSIA

Subject Categories:

• Computer Programming and Software
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE