Memory Evolutive Systems; Hierarchy, Emergence, Cognition

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Elsevier, May 25, 2007 - Social Science - 402 pages
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The theory of Memory Evolutive Systems represents a mathematical model for natural open self-organizing systems, such as biological, sociological or neural systems. In these systems, the dynamics are modulated by the cooperative and/or competitive interactions between the global system and a net of internal Centers of Regulation (CR) wich a differential access to a central heirarchical Memory.

The MES proposes a mathematical model for autonomous evolutionary systems and is based on the Category Theory of mathematics. It provides a framework to study and possibly simulate the structre of "living systems" and their dynamic behavior. MES explores what characterizes a complex evolutionary system, what distinguishes it from inanimate physical systems, its functioning and evolution in time, from its birth to its death.

The behavior of this type of system depends heavily on its former experiences, and a model representing the system over a period of time, could anticipate later behavior and perhaps even predict some evolutionary alternatives.

The role of the MES model will be two-fold: theoretical, for a comprehension of a fundamental nature and practical, for applications in biology, medicine, sociology, ecology, economy, meteorology, and other sciences.

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Memory Evolutive Systems for Thinking Neuroscientist
Recently I began studying the book ‘Memory Evolutive Systems: Hierarchy, Emergence, Cognition’ (hereafter referred to as THE BOOK). Upon reading
, to tell the truth, bits and parts, but, nevertheless, some parts as thoroughly as I possibly could, of THE BOOK, it is with great trepidation that I am writing the general impression I formed, of a major advance in understanding documented in THE BOOK, which (my impression), I must note, is admittedly not about the substance of THE BOOK, but of the style of presentation of the profound study of the all too present conscious experience in THE BOOK.
THE BOOK in beginning with definitions of familiar words such as graph, category, pattern in unfamiliar terminology tends to intellectually--experientially--disorient many, and those that remain by virtue of being focused on one of the many disparate subjects of empirical study such as neuroscience, economics, social studies, philosophy, or mathematics tend to find the application or indications of applicability of the general abstract theory to those fields of study of which they are not interested (by virtue of their interest in THE BOOK as a presentation of a thorough understanding of a particular body of knowledge that they are trying to comprehend) distracting, if not, again, disorienting.
If I may, I think, I cannot help but think how intellectually engaging it would have been to have a textbook version of THE BOOK, say, beginning, as it does, with definitions and going all the way, say, in the neuroscience textbook version, to action potentials, via, say, interpreting the theory in the category of vector spaces or linear categories (without necessarily committing to any attendant ontological demands, if so desired). Alternatively, one could go the opposite--to the general-to-particular--way i.e. from particulars to general, or in more concrete terms of our neuroscience textbook version one could begin with the presentation of neuroscience data as particulars, which could then be shown as those that which could be understood in terms of the concepts of category theory, via, possibly, as a generalization or organization of the, say, linear algebra of neural networks modeling action potentials across neurons, which as I understand is how mathematics makes its appearance in mathematics and in physics textbooks, which in turn is what gives it (the presentation) the appearance of the fit, which is not to deny the ontological underlying truth of a great numbers of particular conscious experiences or a great expanse of experience being properly organized and generalized as part of the Grand Old Program of conceptual understanding of empirical phenomena.
Before a moment could pass by--as soon as the above noted thought crystallized, it occurred to me that that is what I would like to do, and as soon as I thought of doing I also realized that it is a lifetime project, but I decided to take up the project. This project is all the more important in light of the realization that the reviewed work is a subject of study for the next generation, for the present generation of working neuroscientists are far too cynical--too content with knowing--rarely reaching for comprehension, next-door--for no fault of theirs--seem oblivious to the very notion of comprehension distinct from knowing i.e. collecting pebbles, albeit valuable pebbles on the shores of incomprehensibility--in part, by virtue of being all too cognizant--painfully aware as in seeing and feeling, in the present tense--of the excesses--the still raw wounds on the fabric of the very conscious experience--individual and shared--of extremist interpretations of the concept of ideal--a defining property of thought--an internet connection to the web of comprehension, which terrorized the humanity as a whole and made mankind as a whole less eager to pause to comprehend and more eager to go on and about working.


Part A Hierarchy and Emergence
Part B Memory Evolutive Systems
Part C Application to Cognition and Consciousness
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