Abstract
We describe the design of Intelligent Agents and experimenting with learning environments in mobile robotics, using new technologies such as the Knowledge Query and Manipulation Language (KQML), and new features of the Jade programming language, for the creation of distributed applications such as Remote Method Invocation (RMI). A society of intelligent agents could solve these problems. These agents would be able to migrate from one node to another, the ability to communicate with other agents, using an expressive communication language, work together cooperatively to accomplish complex objectives for a user, act on their own initiative and use local information and knowledge to manage resources and requirements of other agents. Most existing software ignores the fact that generally the tasks performed by an individual are part of collective activities. There is individual work, is working with third-group contributions and consensus with others, is why the support systems to collaborative work are presented as a particular need for the development of future software and intelligent agents, as an essential component design and implementation.
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Garza, A.A., Castillo, O., Valdez, J.M.G. (2010). Multi-Agent System Based on Psychological Models for Mobile Robots. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_9
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DOI: https://doi.org/10.1007/978-3-642-15534-5_9
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