Output details
11 - Computer Science and Informatics
Teesside University
Output title
Utilizing partial policies for identifying equivalence of behavioral models
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of the 25th Conference on Artificial Intelligence
Volume number
-
Issue number
-
First page of article
1083
ISSN of proceedings
-
Year of publication
2011
Number of additional authors
5
Additional information
<22> This paper makes a breakthrough for solving interactive dynamic influence diagram (I-DID) by comparing partial policies of intelligent agents. The methodology is significant because it is the first the first approach that avoids the generation of an entire policy tree for the purpose of identifying the behavioural equivalence of agents. It provides a theoretical foundation to quantify the prediction error of agents’ behaviour based on domain properties. The paper contributes to the development of more rigorous algorithms for solving multiagent planning problems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
