Accessibility navigation


Conceptualisation of an application of adaptive synthetic socioeconomic agents for intelligent network control

Legge, D. and Badii, A. (2009) Conceptualisation of an application of adaptive synthetic socioeconomic agents for intelligent network control. In: Symposium on pervasive adaptation at AISB, Edinburgh, UK.

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Abstract/Summary

The deployment of Quality of Service (QoS) techniques involves careful analysis of area including: those business requirements; corporate strategy; and technical implementation process, which can lead to conflict or contradiction between those goals of various user groups involved in that policy definition. In addition long-term change management provides a challenge as these implementations typically require a high-skill set and experience level, which expose organisations to effects such as “hyperthymestria” [1] and “The Seven Sins of Memory”, defined by Schacter and discussed further within this paper. It is proposed that, given the information embedded within the packets of IP traffic, an opportunity exists to augment the traffic management with a machine-learning agent-based mechanism. This paper describes the process by which current policies are defined and that research required to support the development of an application which enables adaptive intelligent Quality of Service controls to augment or replace those policy-based mechanisms currently in use.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:14746
Uncontrolled Keywords:Quality of Service, multi-agent, ontology

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation