An norm-driven state machine model for CSCW systems

Zhang, S; Gu, N; Yang, J

An norm-driven state machine model for CSCW systems

Zhang, S Gu, N Yang, J

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Publisher:: Elsevier Ltd
Publication Type:: Journal Article
Citation:: Expert Systems with Applications, 2006, 31 (4), pp. 800 - 807
Issue Date:: 2006-01

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Field	Value	Language
dc.contributor.author	Zhang, S	en_US
dc.contributor.author	Gu, N	en_US
dc.contributor.author	Yang, J	en_US
dc.date.issued	2006-01	en_US
dc.identifier.citation	Expert Systems with Applications, 2006, 31 (4), pp. 800 - 807	en_US
dc.identifier.issn	0957-4174	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8912
dc.description.abstract	In order to improve the feasibility of the CSCW systems, we utilize the methods in organizational Semiotics and put forward the organizational model and the organizational state machine (OSM) to describe the norms in the systems. According to the general form of norm, we classify the norm into three kinds of rules expressed by the logical predications. Combining with cooperative theory and speech-act theory, we first propose an organizational relationship graph of role, behavior and rule of CSCW systems and then a logical predication-based model. This model is referred to as the organizational model that is used to describe the relationship graph. In addition, we present the OSM, which can check the logical conflict among the rules and insure semantic completeness. And the dynamical changes of rules and roles can be delineated exactly by the OSM.	en_US
dc.publisher	Elsevier Ltd	en_US
dc.relation.ispartof	Expert Systems with Applications	en_US
dc.relation.isbasedon	10.1016/j.eswa.2006.01.007	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	An norm-driven state machine model for CSCW systems	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	31	en_US
utslib.for	080609 Information Systems Management	en_US
utslib.for	080604 Database Management	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	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
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.issue	4	en_US
pubs.volume	31	en_US

Abstract:

In order to improve the feasibility of the CSCW systems, we utilize the methods in organizational Semiotics and put forward the organizational model and the organizational state machine (OSM) to describe the norms in the systems. According to the general form of norm, we classify the norm into three kinds of rules expressed by the logical predications. Combining with cooperative theory and speech-act theory, we first propose an organizational relationship graph of role, behavior and rule of CSCW systems and then a logical predication-based model. This model is referred to as the organizational model that is used to describe the relationship graph. In addition, we present the OSM, which can check the logical conflict among the rules and insure semantic completeness. And the dynamical changes of rules and roles can be delineated exactly by the OSM.

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http://hdl.handle.net/10453/8912