Memory Evolutive Systems Hierarchy Emergence Cognition

Memory Evolutive Systems  Hierarchy  Emergence  Cognition
Author: A C Ehresmann,J.P. Vanbremeersch
Publsiher: Elsevier
Total Pages: 402
Release: 2007-05-25
Genre: Psychology
ISBN: 0080555411

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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

The Evolution of Memory Systems

The Evolution of Memory Systems
Author: Kim S. Graham
Publsiher: Oxford University Press
Total Pages: 512
Release: 2016-11-03
Genre: Electronic Book
ISBN: 9780199686438

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Current theories about human memory have been shaped by clinical observations and animal experiments. This doctrine holds that the medial temporal lobe subserves one memory system for explicit or declarative memories, while the basal ganglia subserves a separate memory system for implicit or procedural memories, including habits. Cortical areas outside the medial temporal lobe are said to function in perception, motor control, attention, or other aspects of executive function, but not in memory. 'The Evolution of Memory Systems' advances dramatically different ideas on all counts. It proposes that several memory systems arose during evolution and that they did so for the same general reason: to transcend problems and exploit opportunities encountered by specific ancestors at particular times and places in the distant past. Instead of classifying cortical areas in terms of mutually exclusive perception, executive, or memory functions, the authors show that all cortical areas contribute to memory and that they do so in their own ways-using specialized neural representations. The book also presents a proposal on the evolution of explicit memory. According to this idea, explicit (declarative) memory depends on interactions between a phylogenetically ancient navigation system and a representational system that evolved in humans to represent one's self and others. As a result, people embed representations of themselves into the events they experience and the facts they learn, which leads to the perception of participating in events and knowing facts. 'The Evolution of Memory Systems' is an important new work for students and researchers in neuroscience, psychology, and biology.

Discrete Systems with Memory

Discrete Systems with Memory
Author: Ramon Alonso-Sanz
Publsiher: World Scientific
Total Pages: 465
Release: 2011
Genre: Science
ISBN: 9789814343633

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Memory is a universal function of organized matter. What is the mathematics of memory? How does memory affect the space-time behaviour of spatially extended systems? Does memory increase complexity? This book provides answers to these questions. It focuses on the study of spatially extended systems, i.e., cellular automata and other related discrete complex systems. Thus, arrays of locally connected finite state machines, or cells, update their states simultaneously, in discrete time, by the same transition rule. The classical dynamics in these systems is Markovian: only the actual configuration is taken into account to generate the next one. Generalizing the conventional view on spatially extended discrete dynamical systems evolution by allowing cells (or nodes) to be featured by some trait state computed as a function of its own previous state-values, the transition maps of the classical systems are kept unaltered, so that the effect of memory can be easily traced. The book demonstrates that discrete dynamical systems with memory are not only priceless tools for modeling natural phenomena but unique mathematical and aesthetic objects.

Evolution of Learning and Memory Mechanisms

Evolution of Learning and Memory Mechanisms
Author: Mark A. Krause,Karen L. Hollis,Mauricio R. Papini
Publsiher: Cambridge University Press
Total Pages: 400
Release: 2022-04-30
Genre: Psychology
ISBN: 1108738311

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Evolution of Learning and Memory Mechanisms is an exploration of laboratory and field research on the many ways that evolution has influenced learning and memory processes, such as associative learning, social learning, and spatial, working, and episodic memory systems. This volume features research by both outstanding early-career scientists as well as familiar luminaries in the field. Learning and memory in a broad range of animals are explored, including numerous species of invertebrates (insects, worms, sea hares), as well as fish, amphibians, birds, rodents, bears, and human and nonhuman primates. Contributors discuss how the behavioral, cognitive, and neural mechanisms underlying learning and memory have been influenced by evolutionary pressures. They also draw connections between learning and memory and the specific selective factors that shaped their evolution. Evolution of Learning and Memory Mechanisms should be a valuable resource for those working in the areas of experimental and comparative psychology, comparative cognition, brain-behavior evolution, and animal behavior.

Memory Systems

Memory Systems
Author: Bruce Jacob,Spencer Ng,David Wang
Publsiher: Morgan Kaufmann
Total Pages: 900
Release: 2010-07-28
Genre: Computers
ISBN: 0080553842

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Is your memory hierarchy stopping your microprocessor from performing at the high level it should be? Memory Systems: Cache, DRAM, Disk shows you how to resolve this problem. The book tells you everything you need to know about the logical design and operation, physical design and operation, performance characteristics and resulting design trade-offs, and the energy consumption of modern memory hierarchies. You learn how to to tackle the challenging optimization problems that result from the side-effects that can appear at any point in the entire hierarchy. As a result you will be able to design and emulate the entire memory hierarchy. Understand all levels of the system hierarchy -Xcache, DRAM, and disk. Evaluate the system-level effects of all design choices. Model performance and energy consumption for each component in the memory hierarchy.

Memory Machines

Memory Machines
Author: Belinda Barnet
Publsiher: Anthem Press
Total Pages: 192
Release: 2013-07-15
Genre: Computers
ISBN: 9780857281968

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This book explores the history of hypertext, an influential concept that forms the underlying structure of the World Wide Web and innumerable software applications. Barnet tells both the human and the technological story by weaving together contemporary literature and her exclusive interviews with those at the forefront of hypertext innovation, tracing its evolutionary roots back to the analogue machine imagined by Vannevar Bush in 1945.

Early Evolution of Human Memory

Early Evolution of Human Memory
Author: H├ęctor M. Manrique,Michael J. Walker
Publsiher: Palgrave Macmillan
Total Pages: 150
Release: 2017-09-08
Genre: Psychology
ISBN: 3319644467

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This work examines the cognitive capacity of great apes in order to better understand early man and the importance of memory in the evolutionary process. It synthesizes research from comparative cognition, neuroscience, primatology as well as lithic archaeology, reviewing findings on the cognitive ability of great apes to recognize the physical properties of an object and then determine the most effective way in which to manipulate it as a tool to achieve a specific goal. The authors argue that apes (Hominoidea) lack the human cognitive ability of imagining how to blend reality, which requires drawing on memory in order to envisage alternative future situations, and thereby modifying behavior determined by procedural memory. This book reviews neuroscientific findings on short-term working memory, long-term procedural memory, prospective memory, and imaginative forward thinking in relation to manual behavior. Since the manipulation of objects by Hominoidea in the wild (particularly in order to obtain food) is regarded as underlying the evolution of behavior in early Hominids, contrasts are highlighted between the former and the latter, especially the cognitive implications of ancient stone-tool preparation.

on Human Memory

on Human Memory
Author: Chizuko Izawa
Publsiher: Psychology Press
Total Pages: 312
Release: 1999-04-01
Genre: Psychology
ISBN: 9781135678739

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The model of human memory proposed in 1968 by Atkinson and Shiffrin has the distinction of having revolutionized information-processing theory. It catapulated a whole generation of cognitive psychologists into sustained research programs that continue to be productive year after year. The book's notable authors analyze and deliberate on the model's monumental scientific contributions to human learning and memory. They also challenge it and delve into its likely future evolution and impact on learning and memory. The volume was published in celebration of the 30th anniversary of the Atkinson-Shiffrin model and sets forth a provocative future for memory workers and learning theorists.