Agents for Enriched Services (AES): A generic agent - Based adaptation framework

Luis Guillermo Torres-Ribero; Juan Pablo Garzón; Maria Paula Arias-Báez; Angela Carrillo-Ramos; Enrique González

doi:10.1109/CTS.2011.5928728

Agents for Enriched Services (AES): A generic agent - Based adaptation framework

Luis Guillermo Torres-Ribero
, Juan Pablo Garzón
, Maria Paula Arias-Báez
, Angela Carrillo-Ramos
, Enrique González

Department of Systems Engineering

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

5 Scopus citations

Abstract

This paper presents AES (acronym of Agents for Enriched Services) framework; a generic framework that can be used to enrich services and adapting an original service request to what the context information, user profile and other multiple sources of information can bring in order to improve the end-user experience in using the framework. The framework is presented along with its architecture and the way it was implemented using agents, an example showing how this framework may improve collaboration and a study case are presented in order to validate the framework's functionality.

Original language	English
Title of host publication	Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011
Pages	492-499
Number of pages	8
DOIs	https://doi.org/10.1109/CTS.2011.5928728
State	Published - 2011
Event	2011 12th International Conference on Collaboration Technologies and Systems, CTS 2011 - Philadelphia, PA, United States Duration: 23 May 2011 → 27 May 2011

Publication series

Name	Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011

Conference

Conference	2011 12th International Conference on Collaboration Technologies and Systems, CTS 2011
Country/Territory	United States
City	Philadelphia, PA
Period	23/05/11 → 27/05/11

Keywords

Adaptation Methods & Techniques
Adaptive Collaborative Learning
Agent Adaptation
Support for Adaptive Collaboration

Access to Document

10.1109/CTS.2011.5928728

Cite this

Torres-Ribero, L. G., Garzón, J. P., Arias-Báez, M. P., Carrillo-Ramos, A., & González, E. (2011). Agents for Enriched Services (AES): A generic agent - Based adaptation framework. In Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011 (pp. 492-499). Article 5928728 (Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011). https://doi.org/10.1109/CTS.2011.5928728

Torres-Ribero, Luis Guillermo ; Garzón, Juan Pablo ; Arias-Báez, Maria Paula et al. / Agents for Enriched Services (AES) : A generic agent - Based adaptation framework. Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011. 2011. pp. 492-499 (Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011).

@inproceedings{063703441f2e4559a75732ebc0d5a9c2,

title = "Agents for Enriched Services (AES): A generic agent - Based adaptation framework",

abstract = "This paper presents AES (acronym of Agents for Enriched Services) framework; a generic framework that can be used to enrich services and adapting an original service request to what the context information, user profile and other multiple sources of information can bring in order to improve the end-user experience in using the framework. The framework is presented along with its architecture and the way it was implemented using agents, an example showing how this framework may improve collaboration and a study case are presented in order to validate the framework's functionality.",

keywords = "Adaptation Methods \& Techniques, Adaptive Collaborative Learning, Agent Adaptation, Support for Adaptive Collaboration",

author = "Torres-Ribero, \{Luis Guillermo\} and Garz{\'o}n, \{Juan Pablo\} and Arias-B{\'a}ez, \{Maria Paula\} and Angela Carrillo-Ramos and Enrique Gonz{\'a}lez",

year = "2011",

doi = "10.1109/CTS.2011.5928728",

language = "English",

isbn = "9781612846378",

series = "Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011",

pages = "492--499",

booktitle = "Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011",

note = "2011 12th International Conference on Collaboration Technologies and Systems, CTS 2011 ; Conference date: 23-05-2011 Through 27-05-2011",

}

Torres-Ribero, LG, Garzón, JP, Arias-Báez, MP, Carrillo-Ramos, A & González, E 2011, Agents for Enriched Services (AES): A generic agent - Based adaptation framework. in Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011., 5928728, Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011, pp. 492-499, 2011 12th International Conference on Collaboration Technologies and Systems, CTS 2011, Philadelphia, PA, United States, 23/05/11. https://doi.org/10.1109/CTS.2011.5928728

Agents for Enriched Services (AES): A generic agent - Based adaptation framework. / Torres-Ribero, Luis Guillermo; Garzón, Juan Pablo; Arias-Báez, Maria Paula et al.
Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011. 2011. p. 492-499 5928728 (Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011).

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

TY - GEN

T1 - Agents for Enriched Services (AES)

T2 - 2011 12th International Conference on Collaboration Technologies and Systems, CTS 2011

AU - Torres-Ribero, Luis Guillermo

AU - Garzón, Juan Pablo

AU - Arias-Báez, Maria Paula

AU - Carrillo-Ramos, Angela

AU - González, Enrique

PY - 2011

Y1 - 2011

N2 - This paper presents AES (acronym of Agents for Enriched Services) framework; a generic framework that can be used to enrich services and adapting an original service request to what the context information, user profile and other multiple sources of information can bring in order to improve the end-user experience in using the framework. The framework is presented along with its architecture and the way it was implemented using agents, an example showing how this framework may improve collaboration and a study case are presented in order to validate the framework's functionality.

AB - This paper presents AES (acronym of Agents for Enriched Services) framework; a generic framework that can be used to enrich services and adapting an original service request to what the context information, user profile and other multiple sources of information can bring in order to improve the end-user experience in using the framework. The framework is presented along with its architecture and the way it was implemented using agents, an example showing how this framework may improve collaboration and a study case are presented in order to validate the framework's functionality.

KW - Adaptation Methods & Techniques

KW - Adaptive Collaborative Learning

KW - Agent Adaptation

KW - Support for Adaptive Collaboration

UR - https://www.scopus.com/pages/publications/83255162573

U2 - 10.1109/CTS.2011.5928728

DO - 10.1109/CTS.2011.5928728

M3 - Conference contribution

AN - SCOPUS:83255162573

SN - 9781612846378

T3 - Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011

SP - 492

EP - 499

BT - Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011

Y2 - 23 May 2011 through 27 May 2011

ER -

Torres-Ribero LG, Garzón JP, Arias-Báez MP, Carrillo-Ramos A , González E. Agents for Enriched Services (AES): A generic agent - Based adaptation framework. In Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011. 2011. p. 492-499. 5928728. (Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, CTS 2011). doi: 10.1109/CTS.2011.5928728

Agents for Enriched Services (AES): A generic agent - Based adaptation framework

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