Memory Evolutive Systems; Hierarchy, Emergence, Cognition

Front Cover
Elsevier, 2007 M05 25 - 402 pages
1 Review
Reviews aren't verified, but Google checks for and removes fake content when it's identified

Memory Evolutive Systems; Hierarchy, Emergence, Cognition provides comprehensive and comprehensible coverage of Memory Evolutive Systems (MEM). Written by the developers of the MEM, the book proposes a mathematical model for autonomous evolutionary systems based on the Category Theory of mathematics. It describes a framework to study and possibly simulate the structure of living systems and their dynamic behavior.

This book contributes to understanding the multidisciplinary interfaces between mathematics, cognition, consciousness, biology and the study of complexity. It is organized into three parts. Part A deals with hierarchy and emergence and covers such topics as net of interactions and categories; the binding problem; and complexifications and emergence. Part B is about MEM while Part C discusses MEM applications to cognition and consciousness. The book explores the characteristics of a complex evolutionary system, its differences from inanimate physical systems, and its functioning and evolution in time, from its birth to its death.

This book is an ideal reference for researchers, teachers and students in pure mathematics, computer science, cognitive science, study of complexity and systems theory, Category Theory, biological systems theory, and consciousness theory. It would also be of interest to both individuals and institutional libraries.

  • Comprehensive and comprehensible coverage of Memory Evolutive System
  • Written by the developers of the Memory Evolutive Systems
  • Designed to explore the common language between sciences

What people are saying - Write a review

Reviews aren't verified, but Google checks for and removes fake content when it's identified
User Review - Flag as inappropriate

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
List of Figures

Other editions - View all

Common terms and phrases

Popular passages

Page v - What is a man, If his chief good and market of his time Be but to sleep and feed? a beast, no more. Sure he that made us with such large discourse, Looking before and after, gave us not That capability and god-like reason To fust in us unus'd.
Page 4 - We have decided to call the entire field of control and communication theory, whether in the machine or in the animal, by the name Cybernetics, which we form from the Greek X'ußepVT'iTTiC or steersman.
Page 2 - The cell must be organic; that is, it must consist of interrelated parts working together to form a whole that is greater than the sum of its parts. To be effective, the schism between knowledge and technical ability in the cell must be closed. A shared political perspective should be the glue that binds the parts, rather than interdependence through need. Avoid consensus through similarity of skills, since in order...

Bibliographic information