From raw data to agent perceptions for simulation, verification, and monitoring
Conference paper
Bottone, M., Primiero, G., Raimondi, F. and Rungta, N. 2016. From raw data to agent perceptions for simulation, verification, and monitoring. 12th International Conference on Intelligent Environment 2016:- 5th International Workshop on Reliability of Intelligent Environments (WoRIE’16). London, United Kingdom 14 - 16 Sep 2016 IOS Press. pp. 66-75 https://doi.org/10.3233/978-1-61499-690-3-66
Type | Conference paper |
---|---|
Title | From raw data to agent perceptions for simulation, verification, and monitoring |
Authors | Bottone, M., Primiero, G., Raimondi, F. and Rungta, N. |
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. |
Conference | 12th International Conference on Intelligent Environment 2016:- 5th International Workshop on Reliability of Intelligent Environments (WoRIE’16) |
Page range | 66-75 |
ISBN | |
Hardcover | 9781614996897 |
Publisher | IOS Press |
Publication dates | |
14 Sep 2016 | |
Publication process dates | |
Deposited | 07 Jun 2017 |
Accepted | 16 Jun 2016 |
Output status | Published |
Publisher's version | License |
Copyright Statement | © 2016 The authors and IOS Press. |
Additional information | Series: Ambient Intelligence and Smart Environments, Volume 21: Intelligent Environments 2016 |
Digital Object Identifier (DOI) | https://doi.org/10.3233/978-1-61499-690-3-66 |
Language | English |
Book title | Intelligent Environments 2016 - Workshop Proceedings of the 12th International Conference on Intelligent Environments |
https://repository.mdx.ac.uk/item/86zwv
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