Abstract
In multi-agent systems, agents often depend on others to act on their behalf. However, delegation decisions are complicated in norm- governed environments, where agents’ activities are regulated by policies. Especially when such policies are not public, learning these policies be- come critical to estimate the outcome of delegation decisions. In this paper, we propose the use of domain knowledge in aiding the learning of policies. Our approach combines ontological reasoning, machine learning and argumentation in a novel way for identifying, learning, and modeling policies. Using our approach, software agents can autonomously reason about the policies that others are operating with, and make informed decisions about to whom to delegate a task. In a set of experiments, we demonstrate the utility of this novel combination of techniques through empirical evaluation. Our evaluation shows that more accurate models of others’ policies can be developed more rapidly using various forms of domain knowledge.
| Original language | English |
|---|---|
| Title of host publication | Agents and Data Mining Interaction |
| Subtitle of host publication | 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers |
| Editors | Longbing Cao, Ana L.C. Bazzan, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Gerhard Weiss, Philip S. Yu |
| Publisher | Springer |
| Pages | 117-131 |
| Number of pages | 15 |
| Volume | 7103 |
| ISBN (Print) | 978-3-642-27608-8 |
| DOIs | |
| Publication status | Published - 19 Dec 2011 |
| Event | 7th International Workshop on Agents and Data Mining Interation, ADMI 2011 - Taipeii, Taiwan, Province of China Duration: 2 May 2011 → 6 May 2011 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer |
| Volume | 7103 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 7th International Workshop on Agents and Data Mining Interation, ADMI 2011 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipeii |
| Period | 2/05/11 → 6/05/11 |
Bibliographical note
@inproceedings{conf/admi/EmeleNSP11,added-at = {2011-12-19T00:00:00.000+0100},
author = {Emele, Chukwuemeka David and Norman, Timothy J. and Sensoy, Murat and Parsons, Simon},
biburl = {http://www.bibsonomy.org/bibtex/20a08b683088443f1fd36d6ef28bf6615/dblp},
booktitle = {ADMI},
crossref = {conf/admi/2011},
editor = {Cao, Longbing and Bazzan, Ana L. C. and Symeonidis, Andreas L. and Gorodetsky, Vladimir and Weiss, Gerhard and Yu, Philip S.},
ee = {http://dx.doi.org/10.1007/978-3-642-27609-5_9},
interhash = {1d7e7f8554e8bdb3d43c32e02aeabcec},
intrahash = {0a08b683088443f1fd36d6ef28bf6615},
isbn = {978-3-642-27608-8},
keywords = {dblp},
pages = {117-131},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2011-12-19T00:00:00.000+0100},
title = {Exploiting Domain Knowledge in Making Delegation Decisions.},
url = {http://dblp.uni-trier.de/db/conf/admi/admi2011.html#EmeleNSP11},
volume = 7103,
year = 2011
}