From raw data to agent perceptions for simulation, verification, and monitoring

Bottone, Michele, Primiero, Giuseppe, Raimondi, Franco and Rungta, Neha (2016) From raw data to agent perceptions for simulation, verification, and monitoring. In: 12th International Conference on Intelligent Environment 2016:- 5th International Workshop on Reliability of Intelligent Environments (WoRIE’16), 14-16 Sept 2016, London, United Kingdom. (doi:10.3233/978-1-61499-690-3-66)

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Series: Ambient Intelligence and Smart Environments, Volume 21: Intelligent Environments 2016
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 21920
Notes on copyright: © 2016 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0)
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Depositing User: Michele Bottone
Date Deposited: 07 Jun 2017 13:47
Last Modified: 04 Apr 2019 16:56
ISBN: 9781614996897
URI: https://eprints.mdx.ac.uk/id/eprint/21920

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