Intelligent Agents that span the process management spectrum

Debenham, JK; Simoff, SJ

Intelligent Agents that span the process management spectrum

Debenham, JK Simoff, SJ

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 3rd international IEEE Conference Intelligent Systems, September 2006, 2006, pp. 386 - 389
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Debenham, JK	en_US
dc.contributor.author	Simoff, SJ	en_US
dc.contributor.editor	Chountas, P	en_US
dc.contributor.editor	Kacprzyk, J	en_US
dc.contributor.editor	Petrounias, I	en_US
dc.contributor.editor	Yager, R	en_US
dc.date	2006-09-04	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	3rd international IEEE Conference Intelligent Systems, September 2006, 2006, pp. 386 - 389	en_US
dc.identifier.isbn	1-4244-0196-8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2587
dc.description.abstract	The process management spectrum extends from conventional workflow processes to emergent processes. Three categories of process are identified. Activity-driven processes that are managed by a single reactive agent architecture. Goal-driven processes that are managed by a multiagent system of deliberative agents. Knowledge-driven processes that are managed by augmenting the multiagent system from the goal-driven system with an approach based on task types. The idea behind task types is that if the system knows what sort of task is being worked on by the (human) users then appropriate support may be provided. Three general purpose agent architectures are described, one for each category of process. The business of process management is generally limited to the management of the processes themselves - this is appropriate for production workflows. Goal-driven and knowledge-driven processes both rely on the management of the collaboration between the human players. Collaboration management is seen here to be an important component of process management, and an agent architecture, founded on concepts from information theory, is described for it	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	3rd international IEEE Conference Intelligent Systems, September 2006	en_US
dc.relation.ispartof	IEEE International Conference on Intelligent Systems	en_US
dc.relation.isbasedon	10.1109/IS.2006.348450	en_US
dc.rights	© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Intelligent Agents that span the process management spectrum	en_US
dc.type	Conference Proceeding
utslib.location	London, UK	en_US
utslib.location.activity	London, UK	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	London, UK	en_US
pubs.embargo.period	Not known	en_US
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 - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	London, UK	en_US
pubs.start-date	2006-09-04	en_US

Abstract:

The process management spectrum extends from conventional workflow processes to emergent processes. Three categories of process are identified. Activity-driven processes that are managed by a single reactive agent architecture. Goal-driven processes that are managed by a multiagent system of deliberative agents. Knowledge-driven processes that are managed by augmenting the multiagent system from the goal-driven system with an approach based on task types. The idea behind task types is that if the system knows what sort of task is being worked on by the (human) users then appropriate support may be provided. Three general purpose agent architectures are described, one for each category of process. The business of process management is generally limited to the management of the processes themselves - this is appropriate for production workflows. Goal-driven and knowledge-driven processes both rely on the management of the collaboration between the human players. Collaboration management is seen here to be an important component of process management, and an agent architecture, founded on concepts from information theory, is described for it

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http://hdl.handle.net/10453/2587