Cultural Algorithms

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Cultural Algorithms

Robert G. Reynolds
Cultural Algorithms Book PDF

Author : Robert G. Reynolds
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 53,9 Mb
Release : 2020-11-18
Category : Computers
ISBN : 9781119403104

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Cultural Algorithms by Robert G. Reynolds Pdf

A thorough look at how societies can use cultural algorithms to understand human social evolution For those working in computational intelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work. For such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms. In addition to these topics, the book covers topics including: The CAT system including the Repast Simphony System and CAT Sample Runs How to problem solve using social networks in cultural algorithms with auctions Understanding Common Value Action to enhance Social Knowledge Distribution Systems Case studies on team formations An exploration of virtual worlds using cultural algorithms For industry professionals or new students, Cultural Algorithms provides an impactful and thorough look at both social intelligence and how human social evolution translates into the modern world.

Cultural Algorithms

Shahin Jalili
Cultural Algorithms Book PDF

Author : Shahin Jalili
Publisher : Springer Nature
Page : 277 pages
File Size : 49,5 Mb
Release : 2022-11-24
Category : Technology & Engineering
ISBN : 9789811946332

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Cultural Algorithms by Shahin Jalili Pdf

This book covers the latest advances in Cultural Algorithms, their general framework, different variants, hybridized versions with other meta-heuristic and search techniques, and their applications. Cultural Algorithms are meta-heuristic numerical optimization techniques inspired by the bio-cultural evolutionary theory, in which both types of vertical and horizontal learning behaviors are modeled. The book includes well-briefed basics of optimization and theoretical backgrounds of Cultural Algorithms in its initial chapters and then discusses their applications in different branches of science and engineering. It provides detailed mathematical formulations and algorithmic pseudo-codes of hybridized, extended, and multi-population variants of cultural algorithms. The book will serve the research students, fellows, professors, and industry professionals to implement real-time applications of Cultural Algorithms.

Algorithms of Oppression

Safiya Umoja Noble
Algorithms of Oppression Book PDF

Author : Safiya Umoja Noble
Publisher : NYU Press
Page : 245 pages
File Size : 50,7 Mb
Release : 2018-02-20
Category : Computers
ISBN : 9781479837243

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Algorithms of Oppression by Safiya Umoja Noble Pdf

Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author

Culture on the Edge of Chaos

Robert G. Reynolds
Culture on the Edge of Chaos Book PDF

Author : Robert G. Reynolds
Publisher : Springer
Page : 108 pages
File Size : 47,8 Mb
Release : 2018-05-02
Category : Computers
ISBN : 9783319741710

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Culture on the Edge of Chaos by Robert G. Reynolds Pdf

The author first introduces the basic framework for cultural algorithms and he then explains the social structure of a cultural system as a mechanism for the distribution of problem-solving information throughout a population. Three different models for social organizations are presented: the homogeneous (nuclear family), heterogeneous (expanded family), and subculture (descent groups) social models. The chapters that follow compare the learning capabilities of these social organizations relative to problems of varying complexity. The book concludes with a discussion of how the results can impact our understanding of social evolution.

The Acceleration of Cultural Change

R. Alexander Bentley,Michael J. O'Brien
The Acceleration of Cultural Change Book PDF

Author : R. Alexander Bentley,Michael J. O'Brien
Publisher : MIT Press
Page : 175 pages
File Size : 55,6 Mb
Release : 2024-05-21
Category : Science
ISBN : 9780262551977

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The Acceleration of Cultural Change by R. Alexander Bentley,Michael J. O'Brien Pdf

How culture evolves through algorithms rather than knowledge inherited from ancestors. From our hunter-gatherer days, we humans evolved to be excellent throwers, chewers, and long-distance runners. We are highly social, crave Paleolithic snacks, and display some gendered difference resulting from mate selection. But we now find ourselves binge-viewing, texting while driving, and playing Minecraft. Only the collective acceleration of cultural and technological evolution explains this development. The evolutionary psychology of individuals—the drive for “food and sex”—explains some of our current habits, but our evolutionary success, Alex Bentley and Mike O'Brien explain, lies in our ability to learn cultural know-how and to teach it to the next generation. Today, we are following social media bots as much as we are learning from our ancestors. We are radically changing the way culture evolves. Bentley and O'Brien describe how the transmission of culture has become vast and instantaneous across an Internet of people and devices, after millennia of local ancestral knowledge that evolved slowly. Long-evolved cultural knowledge is aggressively discounted by online algorithms, which prioritize popularity and recency. If children are learning more from Minecraft than from tradition, this is a profound shift in cultural evolution. Bentley and O'Brien examine the broad and shallow model of cultural evolution seen today in the science of networks, prediction markets, and the explosion of digital information. They suggest that in the future, artificial intelligence could be put to work to solve the problem of information overload, learning to integrate concepts over the vast idea space of digitally stored information.

Algorithmic Cultures

Robert Seyfert,Jonathan Roberge
Algorithmic Cultures Book PDF

Author : Robert Seyfert,Jonathan Roberge
Publisher : Routledge
Page : 209 pages
File Size : 46,5 Mb
Release : 2016-10-04
Category : Social Science
ISBN : 9781317331810

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Algorithmic Cultures by Robert Seyfert,Jonathan Roberge Pdf

This book provides in-depth and wide-ranging analyses of the emergence, and subsequent ubiquity, of algorithms in diverse realms of social life. The plurality of Algorithmic Cultures emphasizes: 1) algorithms’ increasing importance in the formation of new epistemic and organizational paradigms; and 2) the multifaceted analyses of algorithms across an increasing number of research fields. The authors in this volume address the complex interrelations between social groups and algorithms in the construction of meaning and social interaction. The contributors highlight the performative dimensions of algorithms by exposing the dynamic processes through which algorithms – themselves the product of a specific approach to the world – frame reality, while at the same time organizing how people think about society. With contributions from leading experts from Media Studies, Social Studies of Science and Technology, Cultural and Media Sociology from Canada, France, Germany, UK and the USA, this volume presents cutting edge empirical and conceptual research that includes case studies on social media platforms, gaming, financial trading and mobile security infrastructures.

Clever Algorithms

Jason Brownlee
Clever Algorithms Book PDF

Author : Jason Brownlee
Publisher : Jason Brownlee
Page : 437 pages
File Size : 53,8 Mb
Release : 2011
Category : Computers
ISBN : 9781446785065

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Clever Algorithms by Jason Brownlee Pdf

This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.

Nature-Inspired Algorithms for Optimisation

Raymond Chiong
Nature Inspired Algorithms for Optimisation Book PDF

Author : Raymond Chiong
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 43,8 Mb
Release : 2009-04-28
Category : Mathematics
ISBN : 9783642002663

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Nature-Inspired Algorithms for Optimisation by Raymond Chiong Pdf

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.

Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms

Terje Kristensen
Computational Intelligence Evolutionary Computing and Evolutionary Clustering Algorithms Book PDF

Author : Terje Kristensen
Publisher : Bentham Science Publishers
Page : 135 pages
File Size : 42,8 Mb
Release : 2016-09-30
Category : Computers
ISBN : 9781681082998

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Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms by Terje Kristensen Pdf

This brief text presents a general guideline for writing advanced algorithms for solving engineering and data visualization problems. The book starts with an introduction to the concept of evolutionary algorithms followed by details on clustering and evolutionary programming. Subsequent chapters present information on aspects of computer system design, implementation and data visualization. The book concludes with notes on the possible applications of evolutionary algorithms in the near future. This book is intended as a supplementary guide for students and technical apprentices learning machine language, or participating in advanced software programming, design and engineering courses.

Evolutionary Optimization Algorithms

Dan Simon
Evolutionary Optimization Algorithms Book PDF

Author : Dan Simon
Publisher : John Wiley & Sons
Page : 776 pages
File Size : 43,8 Mb
Release : 2013-06-13
Category : Mathematics
ISBN : 9781118659502

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Evolutionary Optimization Algorithms by Dan Simon Pdf

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs including opposition-based learning, artificial fish swarms, bacterial foraging, and many others and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh
Multi Objective Evolutionary Algorithms for Knowledge Discovery from Databases Book PDF

Author : Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh
Publisher : Springer
Page : 162 pages
File Size : 40,8 Mb
Release : 2008-02-28
Category : Technology & Engineering
ISBN : 9783540774679

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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases by Ashish Ghosh,Satchidananda Dehuri,Susmita Ghosh Pdf

The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.

Bio-Inspired Computational Algorithms and Their Applications

Shangce Gao
Bio Inspired Computational Algorithms and Their Applications Book PDF

Author : Shangce Gao
Publisher : BoD – Books on Demand
Page : 436 pages
File Size : 44,7 Mb
Release : 2012-03-07
Category : Computers
ISBN : 9789535102144

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Bio-Inspired Computational Algorithms and Their Applications by Shangce Gao Pdf

Bio-inspired computational algorithms are always hot research topics in artificial intelligence communities. Biology is a bewildering source of inspiration for the design of intelligent artifacts that are capable of efficient and autonomous operation in unknown and changing environments. It is difficult to resist the fascination of creating artifacts that display elements of lifelike intelligence, thus needing techniques for control, optimization, prediction, security, design, and so on. Bio-Inspired Computational Algorithms and Their Applications is a compendium that addresses this need. It integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems. The works presented in this book give insights into the creation of innovative improvements over algorithm performance, potential applications on various practical tasks, and combination of different techniques. The book provides a reference to researchers, practitioners, and students in both artificial intelligence and engineering communities, forming a foundation for the development of the field.

What Algorithms Want

Ed Finn
What Algorithms Want Book PDF

Author : Ed Finn
Publisher : MIT Press
Page : 267 pages
File Size : 49,6 Mb
Release : 2017-03-10
Category : Computers
ISBN : 9780262035927

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What Algorithms Want by Ed Finn Pdf

The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

Genetic Algorithms + Data Structures = Evolution Programs

Zbigniew Michalewicz
Genetic Algorithms Data Structures Evolution Programs Book PDF

Author : Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 41,6 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783662074183

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Genetic Algorithms + Data Structures = Evolution Programs by Zbigniew Michalewicz Pdf

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques has been growing in the last decade, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. It is aimed at researchers, practitioners, and graduate students in computer science and artificial intelligence, operations research, and engineering. This second edition includes several new sections and many references to recent developments. A simple example of genetic code and an index are also added. Writing an evolution program for a given problem should be an enjoyable experience - this book may serve as a guide to this task.

Evolutionary Algorithms for Solving Multi-Objective Problems

Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont
Evolutionary Algorithms for Solving Multi Objective Problems Book PDF

Author : Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont
Publisher : Springer Science & Business Media
Page : 600 pages
File Size : 43,5 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9781475751840

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Evolutionary Algorithms for Solving Multi-Objective Problems by Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont Pdf

Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.