Agency and the virtual campus: The TrAM approach

Richard Hill

doi:10.1109/INCOS.2010.95

Agency and the virtual campus: The TrAM approach

Richard Hill

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The capture and analysis of requirements for virtual campus systems that employ emerging technologies is complex. Whilst the agent paradigm can assist the modelling of such systems, the variety, scope and volume of network interactions creates a scenario that is difficult to comprehend and analyse. Transaction Agent Modelling (TrAM) is an approach to early requirements capture that is particularly suited for convoluted, complex domains. It incorporates the use of Conceptual Graphs and an Economic Accouting model to capture and represent the qualitative dimensions inherent in real-world situations, and also the use of Peirce Logic to test the models derived. Through an exemplar in the mobile learning(m-learning) domain, TrAM is demonstrated and explicated to illustrate its use.

Original language	English
Title of host publication	2010 2nd International Conference on Intelligent Networking and Collaborative Systems (INCOS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	8-15
Number of pages	8
ISBN (Print)	9781424488285
DOIs	https://doi.org/10.1109/INCOS.2010.95
Publication status	Published - 24 Nov 2010
Externally published	Yes
Event	2nd International Conference on Intelligent Networking and Collaborative Systems - Thessaloniki, Greece Duration: 24 Nov 2010 → 26 Nov 2010 Conference number: 2 http://incos2010.web.auth.gr/ https://dblp.org/db/conf/incos/index

Conference

Conference	2nd International Conference on Intelligent Networking and Collaborative Systems
Abbreviated title	INCOS 2010
Country/Territory	Greece
City	Thessaloniki
Period	24/11/10 → 26/11/10
Internet address	http://incos2010.web.auth.gr/ https://dblp.org/db/conf/incos/index

Access to Document

10.1109/INCOS.2010.95

Cite this

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title = "Agency and the virtual campus: The TrAM approach",

abstract = "The capture and analysis of requirements for virtual campus systems that employ emerging technologies is complex. Whilst the agent paradigm can assist the modelling of such systems, the variety, scope and volume of network interactions creates a scenario that is difficult to comprehend and analyse. Transaction Agent Modelling (TrAM) is an approach to early requirements capture that is particularly suited for convoluted, complex domains. It incorporates the use of Conceptual Graphs and an Economic Accouting model to capture and represent the qualitative dimensions inherent in real-world situations, and also the use of Peirce Logic to test the models derived. Through an exemplar in the mobile learning(m-learning) domain, TrAM is demonstrated and explicated to illustrate its use.",

keywords = "Artificial intelligence, Multi-agent system, Virtual campus",

author = "Richard Hill",

year = "2010",

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doi = "10.1109/INCOS.2010.95",

language = "English",

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booktitle = "2010 2nd International Conference on Intelligent Networking and Collaborative Systems (INCOS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010 ; Conference date: 24-11-2010 Through 26-11-2010",

url = "http://incos2010.web.auth.gr/, https://dblp.org/db/conf/incos/index",

}

Hill, R 2010, Agency and the virtual campus: The TrAM approach. in 2010 2nd International Conference on Intelligent Networking and Collaborative Systems (INCOS). Institute of Electrical and Electronics Engineers Inc., pp. 8-15, 2nd International Conference on Intelligent Networking and Collaborative Systems, Thessaloniki, Greece, 24/11/10. https://doi.org/10.1109/INCOS.2010.95

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T1 - Agency and the virtual campus

T2 - 2nd International Conference on Intelligent Networking and Collaborative Systems

AU - Hill, Richard

N1 - Conference code: 2

PY - 2010/11/24

Y1 - 2010/11/24

N2 - The capture and analysis of requirements for virtual campus systems that employ emerging technologies is complex. Whilst the agent paradigm can assist the modelling of such systems, the variety, scope and volume of network interactions creates a scenario that is difficult to comprehend and analyse. Transaction Agent Modelling (TrAM) is an approach to early requirements capture that is particularly suited for convoluted, complex domains. It incorporates the use of Conceptual Graphs and an Economic Accouting model to capture and represent the qualitative dimensions inherent in real-world situations, and also the use of Peirce Logic to test the models derived. Through an exemplar in the mobile learning(m-learning) domain, TrAM is demonstrated and explicated to illustrate its use.

AB - The capture and analysis of requirements for virtual campus systems that employ emerging technologies is complex. Whilst the agent paradigm can assist the modelling of such systems, the variety, scope and volume of network interactions creates a scenario that is difficult to comprehend and analyse. Transaction Agent Modelling (TrAM) is an approach to early requirements capture that is particularly suited for convoluted, complex domains. It incorporates the use of Conceptual Graphs and an Economic Accouting model to capture and represent the qualitative dimensions inherent in real-world situations, and also the use of Peirce Logic to test the models derived. Through an exemplar in the mobile learning(m-learning) domain, TrAM is demonstrated and explicated to illustrate its use.

KW - Artificial intelligence

KW - Multi-agent system

KW - Virtual campus

U2 - 10.1109/INCOS.2010.95

DO - 10.1109/INCOS.2010.95

M3 - Conference contribution

SN - 9781424488285

SP - 8

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BT - 2010 2nd International Conference on Intelligent Networking and Collaborative Systems (INCOS)

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 24 November 2010 through 26 November 2010

ER -

Agency and the virtual campus: The TrAM approach

Abstract

Conference

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