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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Gascueña, J. M., & Fernández-Caballero, A. (2007). The INGENIAS methodology for advanced surveillance systems modelling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4528 LNCS, pp. 541–550). Springer Verlag. https://doi.org/10.1007/978-3-540-73055-2_56
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