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dc.contributor.authorThomas, Danielen_US
dc.contributor.authorVlacic, Ljuboen_US
dc.contributor.editorGloria Phillips-Wren and Nikhil Ichalkaranje and Lakhmi Jainen_US
dc.date.accessioned2017-05-03T12:07:35Z
dc.date.available2017-05-03T12:07:35Z
dc.date.issued2008en_US
dc.date.modified2011-05-30T06:54:59Z
dc.identifier.isbn9783540768289en_US
dc.identifier.doi10.1007/978-3-540-76829-6_4en_AU
dc.identifier.urihttp://hdl.handle.net/10072/23573
dc.description.abstractThis chapter provides an overview of collaborative decision making between human and artificial beings. The chapter presents concepts, examples and scenarios that can assist in designing collaborative systems mixing humans and artificial beings as fully equal partners (FEPs). Human and artificial beings are demonstrated performing tasks cooperatively with each other, while being fully replaceable or interchangeable with other beings regardless of their biological or artificial nature. These beings are also not necessarily aware whether his/her/its game partners are human or artificial. This is not to say that FEPs are equal in decision making abilities, but rather that these partners possess an equal communication ability. As a result, a game player is not aware whether his/her game partner is a human or artificial being. Also outlined is the collaborative process and how this process allows FEPs to collaborate in a structured manner. Once defined, a simple practical example of a collaborative FEPs system is demonstrated: the electronic meeting room. Shown step by step are the processes and values used to arrive at the final outcome, describing in detail how these human and artificial beings collaborate within the electronic meeting room. Finally, after working through the play scenario and discussing possible future enhancements, some practical domains where collaborative FEPs are applicable in various industries are defined. By the end of this chapter the reader should have an understanding of the following topics: 堠 Understanding the concept of human and artificial beings as collaborative fully equal partners. 堠 Be introduced to the cognitive elements of artificial beings and how these contribute to constructing a FEPs concept. 堠 Having been walked through a play scenario example of human and artificial being collaboration, will have the necessary resources to create their own play scenarios. 堠 Be aware of a number of practical applications for collaborative FEPs in industry applications such as Online Training and Education, Human Resources, Project Management, Transportation and Socially Oriented Computer Games for clinical psychology and behavioral studies.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent1372057 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeBerlin Heidelbergen_US
dc.publisher.urihttp://www.springerlink.com/en_AU
dc.relation.ispartofbooktitleIntelligent Decision Making: An AI-Based Approachen_US
dc.relation.ispartofchapter4en_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom97en_US
dc.relation.ispartofpageto133en_US
dc.relation.ispartofeditionFirsten_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchControl Systems, Robotics and Automationen_US
dc.subject.fieldofresearchcode090602en_US
dc.titleCollaborative Decision Making Amongst Human and Artificial Beingsen_US
dc.typeBook chapteren_US
dc.type.descriptionB1 - Book Chapters (HERDC)en_US
dc.type.codeB - Book Chaptersen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2008 Springer. The attached file is reproduced here in accordance with the copyright policy of the publisher. It is the author-manuscript version of the paper. Please refer to the publisher's website for further information.en_AU
gro.date.issued2008
gro.hasfulltextFull Text


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