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Diploma thesis:Architecture of Autonomous Agent Based on Cortical Learning Algorithms ( PDF )
Author:Otáhal Marek
Supervisor:doc. Ing. Pavel Nahodil CSc.,Ing. Jaroslav Vítků
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Abstract:Autonomous agents that exhibit any more complex behavior in various environments are required to be designed with autonomy, strong domain independence and fault tolerance in mind. The research of autonomous agents is recently gaining traction thanks to the increasing trend in recent years where internet connection starts to penetrate almost every aspect of our lives and environments and the advances in hardware design make chips more powerful, lower-factor, with longer battery life and more affordable for a huge variety of new "intelligent" gadgets. And all these devices need to cooperate, share information and synchronize their actions. In accordance with the long-term research done at the Department of Cybernetics, of Czech Technical University, Prague, nature-inspired methods in agent design proved to be very well suited for this kind of work. A new theory: Hierarchical temporal memory with cortical learning algorithms has recently been released to public and it looks promising for the task - thanks to its novel properties it can handle time series data, does online learning, implicitly uses generalization and forgetting, plus it has strong foundations in recent neuroscientific research. We integrate this HTM/CLA theory with emotions to allow us construct agents with behavior, show how these additions allow us to "program" the autonomous agents and take advantages of promising features of this new theory. In addition we implement initial support for ROS, a platform allowing wider integration with existing technologies, environments or even hardware.
Submited:Jan 2014
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