Immunity-Based Systems: A Design Perspective (Advanced Information Processing)


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Conflict Resolution in Decision Making. Advances in Artificial Intelligence. Handbook of Statistical Systems Biology. Recent Advances in Natural Computing. Applications of Evolutionary Computation. Web and Internet Economics. Introduction to Data Mining for the Life Sciences. Applied Statistics for Network Biology. Philosophy of Stem Cell Biology. Computational Intelligence Methods for Bioinformatics and Biostatistics. Some Recent Advances in Mathematics and Statistics.

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Continue shopping Checkout Continue shopping. Chi ama i libri sceglie Kobo e inMondadori. April 18, Sold by: Related Video Shorts 0 Upload your video. Share your thoughts with other customers. Write a customer review. There was a problem filtering reviews right now. Please try again later. My review taken from the BeBoBio groups page: From what I can gather, the book is primarily oriented towards designing computer control systems and information management systems that can react to failures of individual hardware components or attack by malicious code. From my point of view, this is the almost opposite view of what I'm interested in, namely, using an information processing system to predictively model an organism or a component thereof.

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The main pro totypes for biological information systems have been the neural systems Advanced Information Processing Defining Immunity-Based Systems. Immunity-Based Systems: A Design Perspective (Advanced Information Processing) - Kindle edition by Yoshiteru Ishida. Download it once and read it on your.

It seems that computer science and the biological sciences have so far developed independently, and yet curiously moved closer to each other. Biology becomes a data driven science, and computers become complex systems with emergent behavior. All that is needed is the final few pieces to fall in place to link the two in a seamless unity, one which we can use to discover the deep laws of biology.

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In Immunity-based Systems the approach is from the computer science side. The book relies on the concept of the idiotypic network, which from what I can gather is a somewhat outdated and discarded model of immune system regulation. It does interest me though, and I wouldn't be surprised if there isn't some grain of truth to it. Here's one interesting tidbit from early in the book: It is difficult to find such a macro concept or measure in biological systems.

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One reason why a macro concept is lacking in biology is the difficulty of understanding biological systems in terms of hierarchy alone, since biological systems have a recursive structure as the "self-reference" found in self-reproduction in biological systems. Therefore, information flow is neither unidirectional nor fixed in direction like most of the hierarchies found in physical systems. A hierarchical view view does not suffice for biological systems, a recursive view is needed. There's a fair bit of math, philosophy of systems, and computer science that I really didn't get.

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If you stick with it though, I think there are quite a few valuable insights to be had. I will be reading this one again.

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