The INGENIAS Methodology for Advanced Surveillance Systems Modelling

Authors:
José M. Gascueña;Antonio Fernández-Caballero
Affiliations:
Instituto de Investigación en Informática de Albacete (I3A),;Instituto de Investigación en Informática de Albacete (I3A), and Escuela Politécnica Superior de Albacete, Universidad de Castilla-La Mancha, 02071-Albacete, Spain
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Year:
2007

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Review: on the use of agent technology in intelligent, multisensory and distributed surveillance

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Abstract

The use of surveillance systems has grown exponentially during the last decade. Moreover, the agency paradigm has shown to be suitable for the design and development of complex systems such as surveillance systems. They provide autonomy, reactivity, social ability and pro-activeness to carry out surveillance tasks in a semi-automatic way, collaborating with users in a more effective manner. Agents provide coordination mechanisms, solve conflicts, and determine through negotiation processes the more appropriate distribution of the surveillance tasks. Existent agent-based surveillance systems do not really use agent-based methodologies to develop them. In this paper, our experience for modelling advanced surveillance systems using the INGENIAS methodology is described.