Psy Paper#2 (Final)

Psy Paper#2 (Final) - Mehmet Dervisogullari Dr. Boucher PSY...

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Mehmet Dervisogullari Dr. Boucher PSY 115F February 26, 2007 Understanding “A Biologically Inspired Adaptive Working Memory for Robots” With the enormous developments in technology and science, everyone is waiting for the times that are described in science-fiction stories where most of the jobs and labor are being done by human-like intelligent robots. Actually, these days does not seem so far away after I have read the research paper “A Biologically Inspired Adaptive Working Memory for Robots” by the most famous researchers of the area, including D. Noelle and K. Kawamura. This paper is mostly focused on the integrated application of the “Working Memory Systems” and “Machine Learning” with the “Robotic Components”. The very first thing I observed in this research is that they used reductionism to divide the research into several more specific components and work on each separately. All the ideas then combine at the end having a controllable robot ready to test. The main subtitles I noticed are the Working Memory Systems, how can they be put in use, the Robotic Components and the adaptation to the software. The development of a working memory that stores temporary “information chunks” and relate them to the sensory information for successful decision-making is a difficult job. The memory has to be able to compare the task with the stored relevant data “chunks” in order to be able to focus on the task and produce a correct action to achieve the task. Moreover, it should be able to learn when to store a particular chunk of information, to acquire the ability to manage a task that is not already
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specified. Adapting this compex system to the actual robots in order to test the goal with real-time experiments is another difficulty ahead of the researchers. As a conclusion of these studies, they would end up having a system that can process sensory information, giving accurate feedback according to the data, produce mechanical movements, and storing relevant “information chunks” in short term or long term storages of device. On the other hand, this paper is supposed to provide some information about that the proposed cognitive mechanisms can address the magnitude of challenges faced by living organisms everyday. The working memory systems for electronic devices are developed taking mammalian brains as a model. We already know that we have short-term and long-term memories each having their specific features. Thus, we can conclude that there is not a better algorithm for artificial memories than the actual human brain. From the several theories of working memory, our researchers believe that a working memory is a temporary medium that actively processes temporary information to take an right counter-action, according to the sensory information. In other words, adaptive working memory mechanisms in robotic control systems are designed as a human brain providing cognitive control which its aim is to produce logical behavior control commands to perform a task
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Psy Paper#2 (Final) - Mehmet Dervisogullari Dr. Boucher PSY...

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