@inproceedings{castro_developing_2018,
	address = {Fortaleza, CE},
	title = {Developing a smart parking solution based on a {Holonic} {Multiagent} {System} using {JaCaMo} {Framework}},
	volume = {XII},
	isbn = {2177-2096},
	url = {http://uece.wesaac.com/},
	abstract = {A smart city is described as an intelligent city composed of technological services to improve the human life in a way to make it easier and practical. One of the most costly things to optimize in a smart city is the traffic, particularly , the process of looking for a parking space. Therefore, some computer solutions have been developed to provide a parking space an autonomous way in a smart city, and one of them is using Multiagent System (MAS). This paper proposes a Holonic Multiagent System (HMAS) to assign and manage parking spaces in a smart parking system called Holonic Multiagent Parking System (MAPS-HOLO) developed through JaCaMo Framework which comprises three layers of MAS programming: agent, environment and normative programming. Besides the assign parking space process, the system will be able to handle run-time agents failures in different levels: driver agent, sector agent, and manager agent failure.},
	language = {en},
	urldate = {2018-10-10},
	booktitle = {Anais do {XII} {Workshop}-{Escola} de {Sistemas} de {Agentes}, seus {Ambientes} e {apliCações} - {WESAAC} 2018},
	author = {Castro, Lucas F. S and Borges, André Pinz and Alves, Gleifer Vaz},
	year = {2018},
	keywords = {JaCaMo, agent, holonic agents, multiagent system, smart parking},
	pages = {226--231},
}

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