Knowledge modeling through computational agents: application to surveillance systems

Gascueña, José Manuel; Fernández-Caballero, Antonio; López, María Teresa; Delgado, Ana E.

doi:10.1111/j.1468-0394.2011.00609.x

Cited by 11 publications

(8 citation statements)

References 57 publications

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“…A comparison between the agent‐oriented methodologies previously cited and other agent methodologies, as well as a comparison between ICARO and other agent programming languages, has recently been introduced (Gascueña et al ., 2011).…”

Section: Description Of the Vigilagent Methodologymentioning

confidence: 99%

Model‐to‐model and model‐to‐text: looking for the automation of VigilAgent

Gascueña¹,

Navarro

Fernández-Caballero

et al. 2013

Expert Systems

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VigilAgent is a methodology for the development of agent-oriented monitoring applications that uses agents as the key abstraction elements of the involved models. It has not been developed from scratch, but it reuses fragments from Prometheus and INGENIAS methodologies for modelling tasks and the ICARO framework for implementation purposes. As VigilAgent intends to automate as much as possible the development process, it exploits. Model transformation techniques are one of the key aspects of the model-driven development approach. A model-to-model transformation is used to facilitate the interoperability between Prometheus and INGENIAS methodologies. Also, a model-to-text transformation is performed to generate ICARO code from the INGENIAS model. A case study based on access control is used to illustrate the fundamentals of the model-to-model and model-to-text transformations implemented in VigilAgent.

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Section: Description Of the Vigilagent Methodologymentioning

confidence: 99%

Model‐to‐model and model‐to‐text: looking for the automation of VigilAgent

Gascueña¹,

Navarro

Fernández-Caballero

et al. 2013

Expert Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the paper 'Knowledge modelling through computational agents: Application to surveillance Systems', Gascuen˜a et al (2011) model highly dynamic visual surveillance systems using computational agents. The novel underlying assumption in this work is that an agent starts being a conceptual model, then it is reduced to a formal model, and finally to a physical machine with sensors, effectors, and a control program.…”

Section: The Papersmentioning

confidence: 99%

New perspectives on the application of expert systems

2011

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“…Gascuena et al . () proposed a computational agent model that is applied to surveillance systems. Similarly, Gomez‐Romero et al .…”

Section: Related Workmentioning

confidence: 99%

A belief‐desire‐intention agent architecture for partner selection in peer‐to‐peer live video streaming applications

2014

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In peer-to-peer (P2P) video streaming systems, one of the most challenging parts is to schedule video data dissemination, that is, each peer should carefully select the partner(s) it receives video from and the partner(s) it sends data to. We believe that an agent-based partner selection approach may improve the quality of streaming by taking both autonomy and dynamic plan selection into account in a goal-oriented manner. In this study, a Belief-Desire-Intention agent architecture for partner selection in P2P video streaming systems is introduced. The major concern of our study is to exhibit how to select the best partner during video streaming session whilst maximizing the quality of video and minimizing delay and hop count. The effects and comparative results of executing proposed agent behaviours are evaluated in the study. The proposed autonomous agent-based approach also provides an infrastructure in which the best plan for the achievement of optimum streaming goal can be dynamically determined and executed at runtime. Experimental results of the implementation have revealed to us that both of the partner selection methods (with or without agents) manage to increase the video quality. However, the agent-based approach performs better in terms of received bitrate, delay and hop count during streaming.

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Knowledge modeling through computational agents: application to surveillance systems

Cited by 11 publications

References 57 publications

Model‐to‐model and model‐to‐text: looking for the automation of VigilAgent

Model‐to‐model and model‐to‐text: looking for the automation of VigilAgent

New perspectives on the application of expert systems

A belief‐desire‐intention agent architecture for partner selection in peer‐to‐peer live video streaming applications

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