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Author : Ed Hopkins
Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.F/5 ( download)
Download or read book Learning and Evolution in a Heterogeneous Population written by Ed Hopkins and published by . This book was released on 1994 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 13 pages
Book Rating : 4.:/5 (221 download)
Download or read book Learning and evolution in a heterogenous population written by and published by . This book was released on 1994 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Irina Kareva
Publisher : Academic Press
ISBN 13 : 0128144327
Total Pages : 354 pages
Book Rating : 4.1/5 (281 download)
Download or read book Modeling Evolution of Heterogeneous Populations written by Irina Kareva and published by Academic Press. This book was released on 2019-10-16 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling Evolution of Heterogeneous Populations: Theory and Applications describes, develops and provides applications of a method that allows incorporating population heterogeneity into systems of ordinary and discrete differential equations without significantly increasing system dimensionality. The method additionally allows making use of results of bifurcation analysis performed on simplified homogeneous systems, thereby building on the existing body of tools and knowledge and expanding applicability and predictive power of many mathematical models. - Introduces Hidden Keystone Variable (HKV) method, which allows modeling evolution of heterogenous populations, while reducing multi-dimensional selection systems to low-dimensional systems of differential equations - Demonstrates that replicator dynamics is governed by the principle of maximal relative entropy that can be derived from the dynamics of selection systems instead of being postulated - Discusses mechanisms behind models of both Darwinian and non-Darwinian selection - Provides examples of applications to various fields, including cancer growth, global demography, population extinction, tragedy of the commons and resource sustainability, among others - Helps inform differences in underlying mechanisms of population growth from experimental observations, taking one from experiment to theory and back
Author : Richard K. Belew
Publisher : Routledge
ISBN 13 : 0429982534
Total Pages : 553 pages
Book Rating : 4.4/5 (299 download)
Download or read book Adaptive Individuals In Evolving Populations written by Richard K. Belew and published by Routledge. This book was released on 2018-05-04 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is out of a workshop organized to address questions like these. The meeting was sponsored by the Santa Fe Institute and held at Sol y Sam- bra in Santa Fe, New Mexico, during July, 1993. It brought together a group of about 20 scientists from the disciplines of biology, psychology, and computer science, all studying interactions between the evolution of populations and individuals’ adaptations in those populations, and all of whom make some use of computational tools in their work.
Author : R. C. Bolles
Publisher : Psychology Press
ISBN 13 : 1134926456
Total Pages : 310 pages
Book Rating : 4.1/5 (349 download)
Download or read book Evolution and Learning written by R. C. Bolles and published by Psychology Press. This book was released on 2013-08-21 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1987. Evolutionary theory and learning theory have for a long time developed in quite separate traditions. The purpose of this book is partly to celebrate new developments in the two theories by displaying some of the work of this new breed of scholar. It is the editors’ hope that they can encourage others to look more carefully at the mechanisms that make learning an evolutionary consideration and evolution a learning theory consideration.
Author : Ed Hopkins
Publisher :
ISBN 13 :
Total Pages : 13 pages
Book Rating : 4.:/5 (432 download)
Download or read book Learning and Evolution in a Heterogeneus Population written by Ed Hopkins and published by . This book was released on 1994 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Daniel Jones
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)
Download or read book Evolution and Learning in Heterogeneous Environments written by Daniel Jones and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Karl S. Rosengren
Publisher : Oxford University Press
ISBN 13 : 0199909180
Total Pages : 487 pages
Book Rating : 4.1/5 (999 download)
Download or read book Evolution Challenges written by Karl S. Rosengren and published by Oxford University Press. This book was released on 2012-04-23 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: A recent poll revealed that one in four Americans believe in both creationism and evolution, while another 41% believe that creationism is true and evolution is false. A minority (only 13%) believe only in evolution. Given the widespread resistance to the idea that humans and other animals have evolved and given the attention to the ongoing debate of what should be taught in public schools, issues related to the teaching and learning of evolution are quite timely. Evolution Challenges: Integrating Research and Practice in Teaching and Learning about Evolution goes beyond the science versus religion dispute to ask why evolution is so often rejected as a legitimate scientific fact, focusing on a wide range of cognitive, socio-cultural, and motivational factors that make concepts such as evolution difficult to grasp. The volume brings together researchers with diverse backgrounds in cognitive development and education to examine children's and adults' thinking, learning, and motivation, and how aspects of representational and symbolic knowledge influence learning about evolution. The book is organized around three main challenges inherent in teaching and learning evolutionary concepts: folk theories and conceptual biases, motivational and epistemological biases, and educational aspects in both formal and informal settings. Commentaries across the three main themes tie the book together thematically, and contributors provide ideas for future research and methods for improving the manner in which evolutionary concepts are conveyed in the classroom and in informal learning experiences. Evolution Challenges is a unique text that extends far beyond the traditional evolution debate and is an invaluable resource to researchers in cognitive development, science education and the philosophy of science, science teachers, and exhibit and curriculum developers.
Author : J.D. Becker
Publisher : Springer Science & Business Media
ISBN 13 : 9783540550273
Total Pages : 540 pages
Book Rating : 4.5/5 (52 download)
Download or read book Parallelism, Learning, Evolution written by J.D. Becker and published by Springer Science & Business Media. This book was released on 1991-12-04 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.
Author : Robin Cowan
Publisher : Springer Science & Business Media
ISBN 13 : 3642556515
Total Pages : 340 pages
Book Rating : 4.6/5 (425 download)
Download or read book Heterogenous Agents, Interactions and Economic Performance written by Robin Cowan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: In traditional economics models of perfect competition agent's interactions are all mediated through the market. Interactions are anonymous, global and indirect. This is a powerful model, but we see many instances in which one, and sometimes all, of the previous characteristics fail to hold true. The type of agent you are, or your identity, can affect the type of interaction we have, and most surely the relationship between micro-behaviour and macro-phenomena in non-trivial ways. This book contains a selection of papers presented at the 6th Workshop on Economics with Heterogenous Interacting Agents (WEHIA). The contributions show that work done in other fields like evolutionary biology, statistical mechanics, social network theory and others help us to understand the way in which economic systems operate. Virtually all of the papers presented in this volume draw on some aspect or other of these varied approaches to related problems.
Author : Samson Lasaulce
Publisher : Academic Press
ISBN 13 : 0123846986
Total Pages : 346 pages
Book Rating : 4.1/5 (238 download)
Download or read book Game Theory and Learning for Wireless Networks written by Samson Lasaulce and published by Academic Press. This book was released on 2011-09-19 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive tutorial on game theory and its application to wireless communications. The book starts with a guide to the essential principles of game theory relevant to the communications engineer, giving tools that can be used to develop applications in wireless communications. It explains how game theory models can be applied to distributed resource allocation in a perfect world. Having clarified how the models can be applied in principle, the book then gives practical implementation methods for the real world, showing how the models in the perfect world need to be adapted to real life situations which are far from perfect. The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems Contains algorithms and techniques to implement game theory in wireless terminals.
Author : Liang Feng
Publisher : Springer Nature
ISBN 13 : 3030709205
Total Pages : 144 pages
Book Rating : 4.0/5 (37 download)
Download or read book Optinformatics in Evolutionary Learning and Optimization written by Liang Feng and published by Springer Nature. This book was released on 2021-03-29 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers the recent algorithmic advances towards realizing the notion of optinformatics in evolutionary learning and optimization. The book also provides readers a variety of practical applications, including inter-domain learning in vehicle route planning, data-driven techniques for feature engineering in automated machine learning, as well as evolutionary transfer reinforcement learning. Through reading this book, the readers will understand the concept of optinformatics, recent research progresses in this direction, as well as particular algorithm designs and application of optinformatics. Evolutionary algorithms (EAs) are adaptive search approaches that take inspiration from the principles of natural selection and genetics. Due to their efficacy of global search and ease of usage, EAs have been widely deployed to address complex optimization problems occurring in a plethora of real-world domains, including image processing, automation of machine learning, neural architecture search, urban logistics planning, etc. Despite the success enjoyed by EAs, it is worth noting that most existing EA optimizers conduct the evolutionary search process from scratch, ignoring the data that may have been accumulated from different problems solved in the past. However, today, it is well established that real-world problems seldom exist in isolation, such that harnessing the available data from related problems could yield useful information for more efficient problem-solving. Therefore, in recent years, there is an increasing research trend in conducting knowledge learning and data processing along the course of an optimization process, with the goal of achieving accelerated search in conjunction with better solution quality. To this end, the term optinformatics has been coined in the literature as the incorporation of information processing and data mining (i.e., informatics) techniques into the optimization process. The primary market of this book is researchers from both academia and industry, who are working on computational intelligence methods and their applications. This book is also written to be used as a textbook for a postgraduate course in computational intelligence emphasizing methodologies at the intersection of optimization and machine learning.
Author : Kiran Ahuja
Publisher : Academic Press
ISBN 13 : 0323905366
Total Pages : 338 pages
Book Rating : 4.3/5 (239 download)
Download or read book Comprehensive Guide to Heterogeneous Networks written by Kiran Ahuja and published by Academic Press. This book was released on 2022-09-20 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Guide to Heterogeneous Networks discusses the fundamental motivations behind this cutting-edge development, along with a brief discussion on the diverse definitions of HNs. The future of heterogeneous wireless networks (HWNs) is covered, including test cases, cost configuration, economic benefits and basic challenges. Other sections cover the topology management method in context of heterogeneous sensor nodes with diverse communication and sensing range. In addition, an outline of the pros and cons of the clustering criteria in HWSNs and taxonomy are summarized and provide futuristic research directions. Final sections discuss the future evolution of HNs and their implementations in diverse applications. This is an essential reference book for advanced students on courses in wireless communications, clinical engineering and networking. It will also be of interest to researchers, network planners, technical mangers and other professionals in these fields. - Discusses the most important problems, challenges and issues which arise when designing real-time heterogeneous networks for diverse scenarios - Represents the unique features of heterogeneous sensor networks, giving the end-user a better understanding of the environment - Provides an overview of real-time performance issues in heterogeneous networks, specifically multi-tasking, multi-level scheduling, localization and security issues - Includes applications of heterogeneous networks in diverse fields and focuses on the convergence of heterogeneous wireless networks for 5G
Author : Leigh Tesfatsion
Publisher : Elsevier
ISBN 13 : 0080459870
Total Pages : 905 pages
Book Rating : 4.0/5 (84 download)
Download or read book Handbook of Computational Economics written by Leigh Tesfatsion and published by Elsevier. This book was released on 2006-05-15 with total page 905 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosive growth in computational power over the past several decades offers new tools and opportunities for economists. This handbook volume surveys recent research on Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic systems of interacting agents. Empirical referents for "agents" in ACE models can range from individuals or social groups with learning capabilities to physical world features with no cognitive function. Topics covered include: learning; empirical validation; network economics; social dynamics; financial markets; innovation and technological change; organizations; market design; automated markets and trading agents; political economy; social-ecological systems; computational laboratory development; and general methodological issues.*Every volume contains contributions from leading researchers*Each Handbook presents an accurate, self-contained survey of a particular topic *The series provides comprehensive and accessible surveys
Author : Partha Niyogi
Publisher :
ISBN 13 :
Total Pages : 514 pages
Book Rating : 4.:/5 (321 download)
Download or read book The Computational Nature of Language Learning and Evolution written by Partha Niyogi and published by . This book was released on 2006 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning is the mechanism by which language is transferred from old speakers to new.
Author : Lev R. Ginzburg
Publisher : Benjamin-Cummings Publishing Company
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (318 download)
Download or read book Theory of Natural Selection and Population Growth written by Lev R. Ginzburg and published by Benjamin-Cummings Publishing Company. This book was released on 1983 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9789521015182
Total Pages : pages
Book Rating : 4.0/5 (151 download)
Download or read book Learning with Heterogeneous Expectations in an Evolutionary World written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
