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Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling. / Fayoumi, Amjad; Faris, Hossam; Grippa, Francesca.
Computing in the Global Information Technology, International Multi-Conference on (2009): ICCGI. la Bocca, France: IEEE Computer Society, 2009. p. 86-91.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Fayoumi, A, Faris, H & Grippa, F 2009, Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling. in Computing in the Global Information Technology, International Multi-Conference on (2009): ICCGI. IEEE Computer Society, la Bocca, France, pp. 86-91. https://doi.org/10.1109/ICCGI.2009.21

APA

Fayoumi, A., Faris, H., & Grippa, F. (2009). Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling. In Computing in the Global Information Technology, International Multi-Conference on (2009): ICCGI (pp. 86-91). IEEE Computer Society. https://doi.org/10.1109/ICCGI.2009.21

Vancouver

Fayoumi A, Faris H, Grippa F. Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling. In Computing in the Global Information Technology, International Multi-Conference on (2009): ICCGI. la Bocca, France: IEEE Computer Society. 2009. p. 86-91 doi: 10.1109/ICCGI.2009.21

Author

Fayoumi, Amjad ; Faris, Hossam ; Grippa, Francesca. / Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling. Computing in the Global Information Technology, International Multi-Conference on (2009): ICCGI. la Bocca, France : IEEE Computer Society, 2009. pp. 86-91

Bibtex

@inproceedings{c66ab346c89c48d38d58303558475570,
title = "Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling",
abstract = "Any purposeful organization can be understood as a value network. The main goal of this network is to deliver the highest value from the interdependencies between nodes. Improvement in this domain requires to increase efficiency, response time, knowledge availability and knowledge storing. One of the most interesting research topics in the field of multi-agent systems is the definition of models with the aim of representing social structures such as organizations and coalitions, to control the emergent behaviour of open systems. This paper presents an approach to capture knowledge from social environment by building new features in the social network analysis systems and use this knowledge as a source for modelling multi-agent systems. This paper presents a different approach to capture knowledge from social environment and handle social aspects in intelligent analysis systems by developing and simulating agent{\textquoteright}s behaviour. Those proposed methods will help to represent knowledge in a new way as well as simulate and automate knowledge flow.",
author = "Amjad Fayoumi and Hossam Faris and Francesca Grippa",
year = "2009",
month = aug,
day = "23",
doi = "10.1109/ICCGI.2009.21",
language = "English",
pages = "86--91",
booktitle = "Computing in the Global Information Technology, International Multi-Conference on (2009)",
publisher = "IEEE Computer Society",

}

RIS

TY - GEN

T1 - Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling

AU - Fayoumi, Amjad

AU - Faris, Hossam

AU - Grippa, Francesca

PY - 2009/8/23

Y1 - 2009/8/23

N2 - Any purposeful organization can be understood as a value network. The main goal of this network is to deliver the highest value from the interdependencies between nodes. Improvement in this domain requires to increase efficiency, response time, knowledge availability and knowledge storing. One of the most interesting research topics in the field of multi-agent systems is the definition of models with the aim of representing social structures such as organizations and coalitions, to control the emergent behaviour of open systems. This paper presents an approach to capture knowledge from social environment by building new features in the social network analysis systems and use this knowledge as a source for modelling multi-agent systems. This paper presents a different approach to capture knowledge from social environment and handle social aspects in intelligent analysis systems by developing and simulating agent’s behaviour. Those proposed methods will help to represent knowledge in a new way as well as simulate and automate knowledge flow.

AB - Any purposeful organization can be understood as a value network. The main goal of this network is to deliver the highest value from the interdependencies between nodes. Improvement in this domain requires to increase efficiency, response time, knowledge availability and knowledge storing. One of the most interesting research topics in the field of multi-agent systems is the definition of models with the aim of representing social structures such as organizations and coalitions, to control the emergent behaviour of open systems. This paper presents an approach to capture knowledge from social environment by building new features in the social network analysis systems and use this knowledge as a source for modelling multi-agent systems. This paper presents a different approach to capture knowledge from social environment and handle social aspects in intelligent analysis systems by developing and simulating agent’s behaviour. Those proposed methods will help to represent knowledge in a new way as well as simulate and automate knowledge flow.

U2 - 10.1109/ICCGI.2009.21

DO - 10.1109/ICCGI.2009.21

M3 - Conference contribution/Paper

SP - 86

EP - 91

BT - Computing in the Global Information Technology, International Multi-Conference on (2009)

PB - IEEE Computer Society

CY - la Bocca, France

ER -