Arashigar Cognitive Dynamic Systems, research into which has become his passion. Numerous examples, worked out in detail, have been included to help the reader develop an intuitive grasp of the theory. University of Birmingham, England. Technical Areas of Interest: Be the first to review this item Amazon Best Sellers Rank: Focuses on basic issues, relating theory to practice wherever possible. If you are a seller for this product, would you like to suggest updates through seller support? From inside the book.
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The first book written on this integrative new field. Amiri and S. Haykin and P. Khozeimeh and S. Haykin, Y. Xue, and P. IEEE, , to be published.
Haykin, M. Fatemi, Y. Setoodeh, " Cognitive Control ," Proc. IEEE, submitted. Fatemi and S. Setoodeh and S. To work as a member of a new research team. The topics to be covered by this new team will address the following: a Probabilistic Reasoning Machine for reciprocally coupling the perceptor and controller of a Cognitive Dynamic System, emphasizing overall system stability.
In the last six months, we have broadened our research interest in Cognitive Control. To elborate on the essence of the research program into CDS, exemplified by the projects just described, the objective is to learn from cognitive neuroscience novel ideas so as to make a difference in their engineering applications. Looking back on the works done in this integrative field, it can be justifiably said that what we now know about cognitive radar, cognitive control, and cognitive radio, is much deeper than how it was six years ago.
By the same token, we are confident that in the next six years, our knowledge into cognitive dynamic systems will be not only productive but also much richer in depth as well as breadth than it is today. For much of the past ten years he has focused his research effort to how to learn form the human brain and apply it to a new generation of Cognitive Dynamic Systems, exemplified by the following: 1.
January In the last few months of , the notion of the "two-state model" was discovered for the first time, with one state representing a target state; and the other state, named the "entropic state", representing environmental uncertainties and disturbances.
This new notion opened the way to formulate the basics of Cognitive Control, in the implementation of which use was made of reinforcement learning for the first time ever.
In November , a point-of-view article in the Proc. IEEE, July Perhaps the biggest look to the future developed in the course of a four-month collaborative work with Dr. In the White Paper, entitled "Cognitive Radar Information Networks", ideas were described for the first time ever, addressing the issue of security across the Great Lakes in North America by exploiting the information-processing power of cognition 6.
Last but by no means least, the first book, entitled "Cognitive Dynamic Systems," was published by Cambridge University Press, in March In light of what has been described here, working in collaboration with a gifted and dedicated research group of graduate students and post-doctoral fellows, it can be justifiably said that at the Cognitive Systems Laboratory, McMaster University, we have taken steps aimed at harnessing the information processing power of the human brain for building a new generation of engineering systems.
This joint effort has been truly exciting.
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Dr. Simon Haykin