In this paper we present a practical solution to the problem of connecting “real world” data exchanged between sensors and actuators with the higher level of abstraction used in frameworks for multiagent systems. In particular, we show how to connect an industry-standard publish-subscribe communication protocol for embedded systems called MQTT with two Belief-Desire-Intention agent modelling and programming languages: Jason/AgentSpeak and Brahms. In the paper we describe the details of our Java implementation and we release all the code open source.
From Raw Data to Agent Perceptions for Simulation, Verification, and Monitoring / M. Bottone, G. Primiero, F. Raimondi, N. Rungta - In: Intelligent Environments 2016 / [a cura di] P. Novais, S. Konomi. - [s.l] : IOS Press, 2016. - ISBN 9781614996897. - pp. 66-75 (( Intervento presentato al 12. convegno International Conference on Intelligent Environments nel 2016 [10.3233/978-1-61499-690-3-66].
From Raw Data to Agent Perceptions for Simulation, Verification, and Monitoring
G. Primiero;
2016
Abstract
In this paper we present a practical solution to the problem of connecting “real world” data exchanged between sensors and actuators with the higher level of abstraction used in frameworks for multiagent systems. In particular, we show how to connect an industry-standard publish-subscribe communication protocol for embedded systems called MQTT with two Belief-Desire-Intention agent modelling and programming languages: Jason/AgentSpeak and Brahms. In the paper we describe the details of our Java implementation and we release all the code open source.
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