A Multiagent System Manages Collaboration in Emergent Processes

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dc.contributor.author Debenham, JK
dc.contributor.editor Dignum, F
dc.contributor.editor Dignum, V
dc.contributor.editor Koenig, S
dc.contributor.editor Kraus, S
dc.contributor.editor Singh, M
dc.contributor.editor Wooldridge, M
dc.date.accessioned 2010-05-18T06:49:40Z
dc.date.issued 2005-01
dc.identifier.citation Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, 2005, pp. 175 - 182
dc.identifier.isbn 1-59593-094-9
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7077
dc.description.abstract Emergent processes are non-routine, collaborative business processes whose execution is guided by the knowledge that emerges during a process instance. In so far as the process goal gives direction to conventional business processes, the continually evolving process knowledge gives direction to emergent processes. Emergent processes may involve informal interaction, and so there is a limit to the extent to which the processes can be "managed". The collaboration however can be managed. Managing collaboration needs an intelligent agent that is guided not by a process goal, but by observing the performance of the other agents. Each agent has process knowledge --- that is information either generated by the individual users or is extracted from the environment, and performance knowledge --- that describes how the other agents, together with their 'owners', perform --- including how reliable they are. The integrity of the information derived from past observations decays in time, and so they have an inference mechanism that can cope with information of decaying integrity. An agent is described that achieves this by using ideas from information theory. The agents' internal representation language is probabilistic first-order logic. They derive models of the other agents using entropy-based inference that is based on random worlds. Maximum entropy inference is used to construct these models that are then refreshed as new information is received using minimum relative entropy inference.
dc.publisher ACM
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon 10.1145/1082473.1082500
dc.rights "© ACM 2005. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in: AAMAS '05 Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. http://doi.acm.org/10.1145/1082473.1082500 " en_US
dc.title A Multiagent System Manages Collaboration in Emergent Processes
dc.type Conference Proceeding
dc.parent Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems
dc.journal.number en_US
dc.publocation New York, USA en_US
dc.identifier.startpage 175 en_US
dc.identifier.endpage 182 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference en_US
dc.conference Verified OK en_US
dc.conference International Conference on Autonomous Agents and Multiagent Systems
dc.conference.location Utrecht, Netherlands en_US
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 723535
dc.percentage 100 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Autonomous Agents and Multiagent Systems en_US
dc.date.activity 20050725 en_US
dc.date.activity 2005-07-25
dc.location.activity Utrecht, Netherlands en_US
dc.description.keywords agent en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


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