Output details
11 - Computer Science and Informatics
Teesside University
Output title
Efficient intent-based narrative generation using multiple planning agents
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems
Volume number
-
Issue number
-
First page of article
603
ISSN of proceedings
-
Year of publication
2013
Number of additional authors
1
Additional information
<22> This work is a response to Haslum's (JAIR 2012) compilation of the Intent-Based Planning Problems of Riedl and Young (JAIR 2010) to Classical Planning Problems. In this paper we show that performance of state-of-the-art planners on such compiled planning problems is too slow for their use in real-time entertainment systems and introduce a multiagent Intent-Based Planning Approach which exhibits performance suitable for real-time applications such as Interactive Storytelling. This conference is highly selective with an average acceptance rate of 22% (source: ACM Digital Library).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
