Exploiting Domain Knowledge in Making Delegation Decisions

Chukwuemeka David Emele, Timothy J Norman, Murat Sensoy, Simon Parsons

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

3 Citations (Scopus)
8 Downloads (Pure)


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 languageEnglish
Title of host publicationAgents and Data Mining Interaction
Subtitle of host publication7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers
EditorsLongbing Cao, Ana L.C. Bazzan, Andreas L. Symeonidis, Vladimir I. Gorodetsky, Gerhard Weiss, Philip S. Yu
Number of pages15
ISBN (Print)978-3-642-27608-8
Publication statusPublished - 19 Dec 2011
Event7th International Workshop on Agents and Data Mining Interation, ADMI 2011 - Taipeii, Taiwan, Province of China
Duration: 2 May 20116 May 2011

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference7th International Workshop on Agents and Data Mining Interation, ADMI 2011
Country/TerritoryTaiwan, Province of China

Bibliographical note

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


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