Artificial Intelligence And Natural Algorithms

Author : Rijwan Khan
Publisher : Bentham Science Publishers
Page : 383 pages
File Size : 53,8 Mb
Release : 2022-09-23
Category : Computers
ISBN : 9789815036107

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Artificial Intelligence and Natural Algorithms by Rijwan Khan Pdf

This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science. The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis. The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare. The goal of the book is to equip the reader - students and data analysts - with the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.

Author : Ricardo López-Ruiz
Publisher : Unknown
Page : 218 pages
File Size : 46,6 Mb
Release : 2018
Category : Algorithms
ISBN : 9781789847024

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From Natural to Artificial Intelligence by Ricardo López-Ruiz Pdf

Author : Frances Buontempo
Publisher : Pragmatic Bookshelf
Page : 307 pages
File Size : 46,6 Mb
Release : 2019-01-23
Category : Computers
ISBN : 9781680506587

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Genetic Algorithms and Machine Learning for Programmers by Frances Buontempo Pdf

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you. Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems. In this book, you will: Use heuristics and design fitness functions. Build genetic algorithms. Make nature-inspired swarms with ants, bees and particles. Create Monte Carlo simulations. Investigate cellular automata. Find minima and maxima, using hill climbing and simulated annealing. Try selection methods, including tournament and roulette wheels. Learn about heuristics, fitness functions, metrics, and clusters. Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon. What You Need: Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.

Author : Jason Brownlee
Publisher : Jason Brownlee
Page : 437 pages
File Size : 44,6 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.

Author : Herbert L. Roitblat
Publisher : MIT Press
Page : 340 pages
File Size : 50,7 Mb
Release : 2020-10-13
Category : Computers
ISBN : 9780262044127

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Algorithms Are Not Enough by Herbert L. Roitblat Pdf

Why a new approach is needed in the quest for general artificial intelligence. Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated—with such achievements as driverless cars and humanless chess-playing—computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices—finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

Author : Eric Bonabeau,Marco Dorigo,Guy Theraulaz
Publisher : Oxford University Press
Page : 320 pages
File Size : 51,7 Mb
Release : 1999-09-23
Category : Computers
ISBN : 9780198030157

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Swarm Intelligence by Eric Bonabeau,Marco Dorigo,Guy Theraulaz Pdf

Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.

Author : Ricardo Lopez-Ruiz
Publisher : Unknown
Page : 216 pages
File Size : 47,6 Mb
Release : 2018
Category : Electronic computers. Computer science
ISBN : 1789847036

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From Natural to Artificial Intelligence - Algorithms and Applications by Ricardo Lopez-Ruiz Pdf

Artificial intelligence (AI) is a field experiencing constant growth and change, with a long history. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. Numerous applications and possibilities of AI are already a reality but other ones are still needed to reduce the human limitations and to expand the human capability to limits beyond our imagination. This book brings together researchers working on areas related to AI such as speech and face recognition, representation of learning and acoustic scenarios, fuzzy inference and data exploration, cellular automata applications with a special interest in the tools and algorithms that can be applied in these different branches of the AI discipline. The book provides a new reference to an audience interested in the development of this field.

Author : Jeff Heaton
Publisher : CreateSpace
Page : 242 pages
File Size : 54,7 Mb
Release : 2014-05-28
Category : Computers
ISBN : 1499720572

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Artificial Intelligence for Humans, Volume 2 by Jeff Heaton Pdf

Nature can be a great source of inspiration for artificial intelligence algorithms because its technology is considerably more advanced than our own. Among its wonders are strong AI, nanotechnology, and advanced robotics. Nature can therefore serve as a guide for real-life problem solving. In this book, you will encounter algorithms influenced by ants, bees, genomes, birds, and cells that provide practical methods for many types of AI situations. Although nature is the muse behind the methods, we are not duplicating its exact processes. The complex behaviors in nature merely provide inspiration in our quest to gain new insights about data. Artificial Intelligence for Humans is a book series meant to teach AI to those readers who lack an extensive mathematical background. The reader only needs knowledge of basic college algebra and computer programming. Additional topics are thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, and Python. Other languages are planned. No knowledge of biology is needed to read this book. With a forward by Dave Snell.

Author : Vasant, Pandian
Publisher : IGI Global
Page : 873 pages
File Size : 50,6 Mb
Release : 2014-11-30
Category : Computers
ISBN : 9781466672598

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Handbook of Research on Artificial Intelligence Techniques and Algorithms by Vasant, Pandian Pdf

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Author : Alexander Gelbukh,Félix Castro Espinoza,Sofía N. Galicia-Haro
Publisher : Springer
Page : 522 pages
File Size : 54,9 Mb
Release : 2014-11-05
Category : Computers
ISBN : 9783319136509

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Nature-Inspired Computation and Machine Learning by Alexander Gelbukh,Félix Castro Espinoza,Sofía N. Galicia-Haro Pdf

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

Author : Behrouz Minaei Bidgoli,Rohollah Omidvar
Publisher : Bentham Science Publishers
Page : 208 pages
File Size : 46,8 Mb
Release : 2021-09-28
Category : Computers
ISBN : 9811459584

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How to Design Optimization Algorithms by Applying Natural Behavioral Patterns by Behrouz Minaei Bidgoli,Rohollah Omidvar Pdf

Meta-heuristic algorithms, natural language, processing artificial intelligence, natural behavior, behavioral programming, swarm intelligence, computer problems, AI eauations, source code, Optimization, nature-inspired programming, computer programming

Author : Xin-She Yang
Publisher : Springer
Page : 276 pages
File Size : 49,8 Mb
Release : 2016-03-19
Category : Technology & Engineering
ISBN : 9783319302355

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Nature-Inspired Computation in Engineering by Xin-She Yang Pdf

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

Author : John H. Holland
Publisher : MIT Press
Page : 236 pages
File Size : 48,8 Mb
Release : 1992-04-29
Category : Psychology
ISBN : 0262581116

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Adaptation in Natural and Artificial Systems by John H. Holland Pdf

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.

Author : Chui, Kwok Tai,Lytras, Miltiadis D.,Liu, Ryan Wen,Zhao, Mingbo
Publisher : IGI Global
Page : 403 pages
File Size : 44,9 Mb
Release : 2020-01-03
Category : Science
ISBN : 9781799830405

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Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence by Chui, Kwok Tai,Lytras, Miltiadis D.,Liu, Ryan Wen,Zhao, Mingbo Pdf

While cognitive informatics and natural intelligence are receiving greater attention by researchers, multidisciplinary approaches still struggle with fundamental problems involving psychology and neurobiological processes of the brain. Examining the difficulties of certain approaches using the tools already available is vital for propelling knowledge forward and making further strides. Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence is a collection of innovative research that examines the enhancement of human cognitive performance using emerging technologies. Featuring research on topics such as parallel computing, neuroscience, and signal processing, this book is ideally designed for engineers, computer scientists, programmers, academicians, researchers, and students.

Author : Toshinori Munakata
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 46,8 Mb
Release : 2008-01-01
Category : Computers
ISBN : 9781846288395

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Fundamentals of the New Artificial Intelligence by Toshinori Munakata Pdf

The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every latest progress in the fields, nor to discuss every detail of various techniques that have been developed. New sections/subsections added in this edition are: Simulated Annealing (Section 3.7), Boltzmann Machines (Section 3.8) and Extended Fuzzy if-then Rules Tables (Sub-section 5.5.3). Also, numerous changes and typographical corrections have been made throughout the manuscript. The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality. For the past few decades, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have been added to the traditional symbolic AI. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing. The newer fields include neural networks, genetic algorithms or evolutionary computing, fuzzy systems, rough set theory, and chaotic systems.