interdisciplinary knowledge embodied cognitive science and artificial intelligence can conceive new advanced systems capable of govern. The highest level of these systems is represented by the so-called three-tier architecture that includes three processes related to Freud's theory on the integration of the id, the superego and the ego. Reactant levels, deliberative and reflective are the future features of intelligent robots. By Sergio Moriello.
Agents can be defined in several ways and there is to date no universally accepted definition. In its simplest form, an agent is a complex adaptive system that can sense and act on their environment (which may be real or simulated) [Moriello, 2005, p. 137].
For Stuart Russell and Peter Norvig, an "agent" is all that can be viewed as perceiving its environment through sensors and acting upon that environment through their effectors [Russell and Norvig, 1996, p. 33]. That is, its main feature is that it is "located" (situatedness) is embedded within a local environment with which it interacts and which influences, directly, on their behavior [Florian, 2003] [Muñoz Moreno, 2000 ] [Badano Innocenti, 2000].
An "autonomous agent" is one that interacts, by itself, with its surrounding environment. For that, you should be able to perceive, reason and act. In other words, should have appropriate sensors to collect information from both of their intorno and its environment (perceived) needs to be able to turn that information into knowledge and use it to achieve its objectives (reason) and must have appropriate effectors likely to change the environment (acting) [Moriello, 2005, p. 221 / 2]. Intelligent Agents
An "autonomous intelligent agent" is one that can detect and record whether an action done in a given situation was favorable [Fritz, García Martínez and Marsiglio, 1990, p. 3] [García Martínez, 1997, p. 3]. In this way, you can gain experience and adjust their behavior as you learn.
animals perceive their environment (and its intorno) through their sensory systems; process that information (assimilating, classifying and interpreting) through the neural circuits of cerebral cortex, and acting-out, thanks to the appliance-musculoskeletal and inward-through homeostatic mechanisms. But the overall process is not unidirectional and linear, but circular and cyclical: perception interprets reality through action, body movement [Moriello, 2005, p. 233].
Finally, it should be noted that, although not necessarily, an autonomous intelligent agent "is embodied" (embodiment) has a physical body capable of experiencing its environment directly. Their actions have immediate feedback on their own perceptions [Florian, 2003] [Muñoz Moreno, 2000] [Badano Innocenti, 2000].
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