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Elena Fabiola Ruiz-Ledesma
Instituto Politécnico Nacional, Escuela Superior de Cómputo, CDMX
Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Framework proposal for adaptive mobile intelligent agents Elena Fabiola Ruiz-Ledesma; Rosaura Palma-Orozco; Elizabeth Acosta-Gonzaga
Bulletin of Electrical Engineering and Informatics Vol 10, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i5.2841

Abstract

Intelligent agents are computational entities which have elements that provide them with the ability to perceive and manipulate their environment: sensors and actuators. These are characterized by displaying various properties that adapt and achieve their objectives. Autonomy, learning, collaboration and reasoning are examples of these properties which together make them intelligent artificial entities. This article shows the development of a framework that has made it possible to speed-up the construction of a system of adaptive mobile intelligent agents, called SySAge. The system agents have integrated search and learning techniques for the execution of automated processes focused on solving search, classification and optimization problems. It has been found that through learning, the agents were able to estimate input parameters and apply them in estimating the shortest route in a graph, considering cost and penalty aspects. To determine the choice of search technique, a probabilistic selection was used. The autonomous behavior of each agent was appreciated through the various attempts to solve the search problem and not to focus the information acquired individually on a single agent.
Co-Authors Elizabeth Acosta-Gonzaga Rosaura Palma-Orozco