http://hdl.handle.net/10366/141320 Fri, 24 Apr 2026 15:01:25 GMT 2026-04-24T15:01:25Z http://hdl.handle.net/10366/141450 Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141450 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141449 This article presents the development of a multi-agent system in charge of self-managing a delivery system. The article focuses on the delivery management system and not on the movement systems of the different used vehicles./nThis system consists of different types of vehicles, each with different characteristics, and there may be several instances of each type of vehicle. There will be three operating agents (Drone Operator, Car Operator and Amphibious Operator), an agent that will be responsible for creating random tasks (used only in simulations) and another one that is responsible for distributing these tasks to the operators taking into account the algorithm. This algorithm follows the bases of backtracking and its main function is to assign a task to a vehicle taking into account the distance, the consumption, the limitations of weight and distances, etc. The whole system has been developed in JADE on java. The described software performs a complete simulation with a console in which it is indicated relevant information such as the tasks that are created, the type of vehicle and the instance of that type of vehicle that resolve the delivery, among others. The purpose of this system is to minimize costs and times. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141449 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141448 Two problems related to complex network systems are explained in this paper. These two main problems are: consensus and network synchronization. Both have been studied separately in previous years but only a few people have studied these two problems together as one. Our intention in this article is to show how these two problems might ‘work’ together by simulating a network system with routers and agents, we will try to show how agents must negotiate and communicate in order to achieve their aim. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141448 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141447 Reaching agreement by consensus is fundamental to the operation of distributed systems, such as sensor networks, social networks or multi-robot networks. In real systems, the resource limitations available to individual agents and communication delays typically result in asynchronous control models of discreet time for consensus. In this paper, we model the problem where a set of agents arrive at a consensus on the value of a variable of interest, being guided by one of them. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141447 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141445 A multi-agent systems is described that analyzes texts from two points of view: on the one hand in a lexical and on the other in a semantic way. The main purpose of the system is the efficient processing of the inputted text in order to analyzing it, and as a result, outputting it in the right way. That means that after analyzing each phrase of the imputed text, the main agent will delete each wrong phrase. Agents will exchange messages trying to stably which phrase is correct or incorrect. The system will not only remove wrong phrases, it will also make a list with all the removed ones and the reasons that made the main agent discard them so the person that inputted the text can know why those phrases were in a wrong way. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141445 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141446 Crowd evacuation has attracted great attention, the number of emergencies continues to increase. Thanks to the technology, it is possible to deduce the behavior of the crowd in emergencies, improving security. The multitude enters into a state of panic, so it is necessary to have action protocols for these situations. This work tries to establish a multi-agent model of emotional contagion that simulates the behavior of the crowd in an evacuation. The method is proposed for closed areas such as supermarkets, stadiums, soccer, stadiums, etc. The emotional contagion will accelerate the evacuation, but the congestion will occur if the panic emotion is spread too fast. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141446 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141444 The task of creating algorithms to solve a problem is surely a hard thing as it can be the fact of evaluating them. A well designed algorithm can be very powerful but, it may lack of efficiency at some aspects. This paper proposes a multi-agent system based game with three types of agents: CBot, ABot and QBot, which stands for Coordinator, Answer and Question. They will play a game based on questions and answers, where each of the QBots uses a different algorithm to guess a word. The CBot has the responsibility of the efficiency measurements, receiving and manipulating the ABot reports. The game will finish once all QBots give the correct answer and after that, the efficiency of the algorithms thanks to the CBot. Using this method, it is easier to determine which algorithm is the best with a given performance measurement. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141444 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141443 E-Learning is a new learning approach that involves the use of electronic technologies to access education outside of a conventional classroom (Alonso Rincon,). The objective of E-Learning systems is to increase the students’ learning skills by providing a customized experience to each system user (Rodrigues, 2013). However, to accomplish this, it is necessary to monitor the continuous changes in the environment, mainly the students’ knowledge and skill acquisition. A multi-agent system architecture and a clustering algorithm are proposed for this purpose (as presented in (Rodrigues, 2014) This paper is an extension to the work of (Al-Tarabily, 2018) because it not only monitors changes in the student environment but also in the project environment, increasing the system’s adaptability and accuracy. Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141443 2018-12-15T00:00:00Z http://hdl.handle.net/10366/141442 Sat, 15 Dec 2018 00:00:00 GMT http://hdl.handle.net/10366/141442 2018-12-15T00:00:00Z