2026-09-18T01:26:48Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1379422025-04-30T21:03:49Zcom_10366_133431com_10366_122682com_10366_4666com_10366_3823col_10366_137930

Souza de Castro, Lucas Fernando Vaz Alves, Gleifer Pinz Borges, André 2018-07-03T11:34:29Z 2018-07-03T11:34:29Z 2017-11-06 ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 6 (2017) 2255-2863 http://hdl.handle.net/10366/137942 The process of searching for a parking spot could be a problem. There are computing solutions being developed to optimize this problem. One of these solutions is using multiagent systems (MAS). In this paper a MAS is developed in order to allocate spots in a smart parking using the framework JaCaMo. This MAS comprises of two types of agents: manager and drivers. The manager is responsible to administrate the parking spots which will be assigned for drivers according to a corresponding degree of trust. The trust degree is a value which shows the commitment of the driver before the manager. In order to verify the effectiveness of the MAS, several simulations were conducted in empirical scenarios. Experiments shows that the trust degree impacts in the parking spot allocation process. application/pdf eng Ediciones Universidad de Salamanca (España) Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Computación Informótica Computing Information Technology Using trust degree for agents in order to assign spots in a Smart Parking info:eu-repo/semantics/article