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.
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.
Computational Problems For Physics
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Author : Rubin H. Landau
language : en
Publisher: CRC Press
Release Date : 2018-05-30
Computational Problems For Physics written by Rubin H. Landau and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Science categories.
Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It’s also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features: • Detailed explanations and solutions in various coding languages. • Problems are ranked based on computational and physics difficulty. • Basics of numerical methods covered in an introductory chapter. • Programming guidance via flowcharts and pseudocode. Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics). Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medellín, Colombia.
Fundamental Computational Problems And Algorithms For Superhypergraphs
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Author : Takaaki Fujita
language : en
Publisher: Infinite Study
Release Date :
Fundamental Computational Problems And Algorithms For Superhypergraphs written by Takaaki Fujita and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
Hypergraphs extend traditional graphs by allowing edges (known as hyperedges) to connect more than two vertices, rather than just pairs. This paper explores fundamental problems and algorithms in the context of SuperHypergraphs, an advanced extension of hypergraphs enabling modeling of hierarchical and complex relationships. Topics covered include constructing SuperHyperGraphs, recognizing SuperHyperTrees, and computing SuperHyperTree-width. We address a range of optimization problems, such as the SuperHy-pergraph Partition Problem, Reachability, Minimum Spanning SuperHypertree, and Single-Source Shortest Path. Furthermore, adaptations of classical problems like the Traveling Salesman Problem, Chinese Postman Problem, and Longest Simple Path Problem are presented in the SuperHypergraph framework.
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
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.
Handbook Of Research On Natural Computing For Optimization Problems
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Author : Mandal, Jyotsna Kumar
language : en
Publisher: IGI Global
Release Date : 2016-05-25
Handbook Of Research On Natural Computing For Optimization Problems written by Mandal, Jyotsna Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-25 with Computers categories.
Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.