Neumann, C., Schnabel, A., Dodge, J., Metoyer, R. A. and Stumpf, S. (2007) How Experts Explain Strategic Behavior During Real-Time Strategy Games. In: 2007 AAAI Workshop, 23 Jul 2007, pp. 32-33.
Full text not currently available from Enlighten.
Publisher's URL: https://auld.aaai.org/Library/Workshops/2007/ws07-02-007.php
Abstract
Real-time strategy games, such as Wargus, are examples of complex learning and planning domains that present unique challenges to AI and machine learning. With the drive to acquire planning knowledge from ever fewer examples, learning and planning in this complex, dynamic environment is challenging. Some headway could be made by providing notations in which an expert can annotate examples to help derive additional knowledge, but describing behavior can be problematic if there is a significant mismatch between the notation and the user's conceptualization of their behavior. We conducted a formative study with expert players of a real-time strategy game to determine the structure of the language used by the experts to describe strategy.
Item Type: | Conference Proceedings |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Stumpf, Dr Simone |
Authors: | Neumann, C., Schnabel, A., Dodge, J., Metoyer, R. A., and Stumpf, S. |
College/School: | College of Science and Engineering > School of Computing Science |
Journal Name: | AAAI Workshop - Technical Report |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record