Center for Human Modeling and Simulation
Document Type
Journal Article
Date of this Version
April 2000
Abstract
We introduce a prototype for building a strategy game. A player can control and modify the behavior of all the characters in a game, and introduce new strategies, through the powerful medium of natural language instructions. We describe a Parameterized Action Representation (PAR) designed to bridge the gap between natural language instructions and the virtual agents who are to carry them out. We will illustrate PAR through an interactive demonstration of a multi-agent strategy game.
Recommended Citation
Badler, N. I., Bindiganavale, R., Allbeck, J., Schuler, W., Zhao, L., Lee, S., Shin, H., & Palmer, M. S. (2000). Parameterized Action Representation and Natural Language Instructions for Dynamic Behavior Modification of Embodied Agents. Retrieved from https://repository.upenn.edu/hms/45
Date Posted: 18 July 2007
This document has been peer reviewed.
Comments
Postprint version. Published in AAAI Spring Symposium, 2000.
Publisher URL: http://citeseer.ist.psu.edu/264852.html