Computational Conflicts
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Computational Conflicts
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Author : Heinz J. Müller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Conflicts written by Heinz J. Müller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The aim of this book is to bring together approaches from different subfields of Artificial Intelligence as well as adjoint disciplines in order to characterize a "computational model" of conflicts. The different views on computational conflicts are motivated as follows: Conflicts can occur in organizations among human agents, as well as in computational systems such as knowledge-based systems, or multi-agent systems. They can appear during problem solving or during communication. Their nature or processing can also be specific for some tasks (such as concurrent engineering and design). They can be formalized and techniques can be offered for detecting, managing or avoiding them.
Computational Conflict Research
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Author : Emanuel Deutschmann
language : en
Publisher: Springer Nature
Release Date : 2019-11-09
Computational Conflict Research written by Emanuel Deutschmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-09 with Social Science categories.
This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.
Computational Methods For Inverse Problems
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Author : Curtis R. Vogel
language : en
Publisher: SIAM
Release Date : 2002-01-01
Computational Methods For Inverse Problems written by Curtis R. Vogel and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Mathematics categories.
Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.
Genetic Ai Algorithms Evolutionary Approaches For Solving Complex Computational Problems
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Author : Rajesh Ojha Prof (Dr) Ajay Shriram Kushwaha
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-14
Genetic Ai Algorithms Evolutionary Approaches For Solving Complex Computational Problems written by Rajesh Ojha Prof (Dr) Ajay Shriram Kushwaha and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-14 with Computers categories.
In an era where technology evolves at an unprecedented pace, the demand for efficient, adaptable, and innovative solutions to complex computational problems has never been greater. Traditional algorithms often struggle to tackle the complexity, non-linearity, and scale of challenges faced in various fields, ranging from artificial intelligence (AI) to data science, bioinformatics, and beyond. This is where the power of genetic algorithms (GAs) and other evolutionary computation techniques comes into play, offering a new paradigm for problem-solving inspired by the process of natural selection. Genetic AI Algorithms: Evolutionary Approaches for Solving Complex Computational Problems explores the fascinating intersection of evolutionary biology and computational intelligence. It delves into the principles, techniques, and applications of genetic algorithms (GAs), genetic programming (GP), and other evolutionary strategies to provide readers with a comprehensive understanding of how these methods can be used to address some of the most challenging problems in modern computing. Evolutionary algorithms draw inspiration from the mechanisms of natural evolution, such as selection, mutation, crossover, and inheritance. These methods excel at finding optimal or near-optimal solutions in vast, poorly understood, or highly complex problem spaces. By mimicking the evolutionary process, they can explore potential solutions in ways that are often more robust and flexible than traditional approaches. Whether it’s solving optimization problems, designing neural networks, evolving game strategies, or simulating biological systems, evolutionary algorithms provide a powerful framework for innovation. This book serves as both an introduction and a practical guide for those seeking to harness the power of genetic AI algorithms. It begins with foundational concepts and gradually builds up to more advanced topics, ensuring accessibility for newcomers while providing in-depth insights for experienced practitioners. Through a combination of theory, examples, and case studies, readers will learn how to apply evolutionary algorithms to real-world problems, gain insights into the latest research, and discover new frontiers in computational intelligence. By the end of this journey, readers will be equipped with the knowledge and tools necessary to implement genetic AI algorithms for solving a wide array of complex computational challenges. As you embark on this exploration, I encourage you to think creatively and embrace the potential of evolutionary approaches to drive progress in your work, whether in academia, industry, or any other domain where computational problems abound. In closing, it is my hope that this book inspires further inquiry and discovery in the exciting field of genetic AI algorithms, and that it provides a solid foundation for those seeking to unlock the full potential of evolutionary computation. Authors
Biomathematics And Related Computational Problems
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Author : L.M. Ricciardi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Biomathematics And Related Computational Problems written by L.M. Ricciardi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Biomathematics emerged and rapidly grew as an independent discipline in the late sixties as scientists with various backgrounds in the mathematical, biological and physical sciences gathered together to form Departments and Institutes centered around this discipline that many at that time felt should fall between the cracks of legitimate science. For various reasons some of these new institutions vanished in the mid-seventies, particularly in the U. S. , the main reason for their demise being economic. Nevertheless, good biomathematical so that the range research has been ceaselessly carried on by numerous workers worldwide of this activity appears now as truly impressive: from useful and effective mathematical statements about problems that are firmly rooted in the 'wet' reality of biology to deep theoretical investigations on outstanding basic questions. It is also interesting to take note that some ideas and theories set forth by 'paleo-biomathematicians' almost a quarter of century ago are now becoming highly appreciated also by scientists engaged in quite different research fields. For instance, neural nets is the hot topic in computer science these days! Well aware of the growing interest in this relatively new field, years back I organized a small workshop on Biomathematics: Current Status and Future Perspectives which was held at the University of Salerno during the middle of April, 1980.
The Routledge Handbook Of The Computational Mind
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Author : Mark Sprevak
language : en
Publisher: Routledge
Release Date : 2018-09-13
The Routledge Handbook Of The Computational Mind written by Mark Sprevak and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-13 with Philosophy categories.
Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.
A Study Of The Critical Computational Problems Associated With Strapdown Inertial Navigation Systems
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Author :
language : en
Publisher:
Release Date : 1967
A Study Of The Critical Computational Problems Associated With Strapdown Inertial Navigation Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1967 with Error analysis (Mathematics) categories.
Parallel And Distributed Systems 1994 International Conference On
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Author : Lionel M. Ni
language : en
Publisher:
Release Date : 1994
Parallel And Distributed Systems 1994 International Conference On written by Lionel M. Ni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
The complete proceedings of the December 1994 conference, containing some 120 papers, addresses, and sessions on topics such as teraflop computing, architecture-independent parallel programming, parallel algorithms, FDDI/ATM networks, load balancing, distributed mutual exclusion, interconnection net
Computational And Algorithmic Problems In Finite Fields
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Author : Igor Shparlinski
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational And Algorithmic Problems In Finite Fields written by Igor Shparlinski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This volume presents an exhaustive treatment of computation and algorithms for finite fields. Topics covered include polynomial factorization, finding irreducible and primitive polynomials, distribution of these primitive polynomials and of primitive points on elliptic curves, constructing bases of various types, and new applications of finite fields to other araes of mathematics. For completeness, also included are two special chapters on some recent advances and applications of the theory of congruences (optimal coefficients, congruential pseudo-random number generators, modular arithmetic etc.), and computational number theory (primality testing, factoring integers, computing in algebraic number theory, etc.) The problems considered here have many applications in computer science, coding theory, cryptography, number theory and discrete mathematics. The level of discussion presuppose only a knowledge of the basic facts on finite fields, and the book can be recommended as supplementary graduate text. For researchers and students interested in computational and algorithmic problems in finite fields.
Combinatorial Optimization Problems Quantum Computing
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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :
Combinatorial Optimization Problems Quantum Computing written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Combinatorial Optimization Problems: Quantum Computing" is an introductory guide that bridges the gap between combinatorial optimization and quantum computing for absolute beginners. This book unpacks fundamental concepts in optimization and explores how quantum computing can revolutionize the way we approach complex problems. Through clear explanations and relatable examples, readers will gain an understanding of both fields without needing any prior knowledge of quantum mechanics or advanced mathematics. Ideal for those curious about the future of technology, this book serves as a stepping stone into the fascinating world of quantum algorithms and their applications in optimization.