Framework proposal for adaptive mobile intelligent agents

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