Introduction to Multidisciplinary Science with Artificial Intelligence

Introduction to Multidisciplinary Science with Artificial Intelligence

Author: Luc Thomas Ikelle

Publisher: CRC Press

Published: 2024-06-24

Total Pages: 823

ISBN-13: 1040022634

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The book is about multidisciplinary science education. The challenges of our time, such as improving the length and quality of lives on Earth and short- and long-distance communication and transportation. In this book, we provide readers with the multidisciplinary education necessary to meet the scientific and technological challenges of our time while optimizing the college experience for students. The fundamental notions addressed in this book include gravitational forces and energy; dark matter and dark energy; heat transfer in solid Earth, stars’ interiors, and human bodies; electromagnetic radiation and spectroscopy; quantum entanglement and computing; accretion disks; matter in plasma state; and exoplanets. We illustrate the importance of these notions with applications across disciplines, including monitoring the deformation of the solid Earth’s surface using satellite measurements, unusual gravity anomalies in Antarctica, a view and characterization of the far side of our Moon, Earth’s climate, Titan’s anti-greenhouse effect, long-distance communication between Earth and the planets and exoplanets, etc. Finally, the book contains analytical and computational problems, including MATLAB software developed especially for the classes associated with this book. Key Features: • Contains multiple analytic and computational (MATLAB) exercises • Explores applications related to space programs' discoveries • Provides an accessible introduction and response to growing Multidisciplinary Science programs Dr. Luc Thomas Ikelle is a scientist with Imode Energy. He is also currently an adjunct professor in the Department of Geology and Geophysics at Texas A&M University. Previously, he worked at Cray Research Inc. in Minneapolis, developing 3D seismic inversion algorithms for CRAY Y-PM. From 1988 to 1997, he worked as a scientist for Schlumberger Geco-Prakla, Schlumberger Doll Research, and Schlumberger Cambridge Research. From 1997 to 2014, Dr. Ikelle was Robert R. Berg Professor in the Department of Geology and Geophysics at Texas A&M University. He earned a Ph.D. in geophysics and geochemistry from Paris 7 University in France. He received Le Prix de Thesis du CNRS in 1986 for his Ph.D. thesis, an SEG award in 2010 for his contribution to the creation of Geoscientists Without Borders, and a Texas AM University award as an outstanding scientist in 2012. He is a cofounder of Geoscientists Without Borders and of Imode Energy Research, and a member of SEG, AGU, and APS. Dr. Ikelle has worked as a DOE (US Department of Energy) special employer from 2005 to 2012 and was a member of Ultra-Deepwater Advisory Committee (an advisory committee to the Secretary of Energy) from 2005 to 2012.


Introduction to Artificial Intelligence

Introduction to Artificial Intelligence

Author: Mariusz Flasiński

Publisher: Springer

Published: 2016-08-31

Total Pages: 316

ISBN-13: 3319400223

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In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.


An Introduction to Communication and Artificial Intelligence

An Introduction to Communication and Artificial Intelligence

Author: David J. Gunkel

Publisher: Polity

Published: 2020-01-07

Total Pages: 320

ISBN-13: 9781509533169

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Communication and artificial intelligence (AI) are closely related. It is communication – particularly interpersonal conversational interaction – that provides AI with its defining test case and experimental evidence. Likewise, recent developments in AI introduce new challenges and opportunities for communication studies. Technologies such as machine translation of human languages, spoken dialogue systems like Siri, algorithms capable of producing publishable journalistic content, and social robots are all designed to communicate with users in a human-like way. This timely and original textbook provides educators and students with a much-needed resource, connecting the dots between the science of AI and the discipline of communication studies. Clearly outlining the topic's scope, content and future, the text introduces key issues and debates, highlighting the importance and relevance of AI to communication studies. In lively and accessible prose, David Gunkel provides a new generation with the information, knowledge, and skills necessary to working and living in a world where social interaction is no longer restricted to humans. The first work of its kind, An Introduction to Communication and Artificial Intelligence is the go-to textbook for students and scholars getting to grips with this crucial interdisciplinary topic.


Essentials of Game Theory

Essentials of Game Theory

Author: Kevin Gebser

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 88

ISBN-13: 3031015452

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Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.


Information Extraction

Information Extraction

Author: Maria T. Pazienza

Publisher: Springer Science & Business Media

Published: 1999-10-06

Total Pages: 175

ISBN-13: 3540666257

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"By investigating the general structures of natural language and logic as well as relevant software engineering methodologies, the lectures presented in this book attempt the development of principled techniques for domain-independent IE. The book is based on the Second International School on Information Extraction, SCIE-99, held in Frascati near Rome, Italy in June/July 1999."--BOOK JACKET.


Intelligence-Based Medicine

Intelligence-Based Medicine

Author: Anthony C. Chang

Publisher: Academic Press

Published: 2020-06-27

Total Pages: 549

ISBN-13: 0128233389

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Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. - Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything - Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists - Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future - Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare


Multidisciplinary Computational Anatomy

Multidisciplinary Computational Anatomy

Author: Makoto Hashizume

Publisher: Springer Nature

Published: 2021-11-30

Total Pages: 370

ISBN-13: 9811643253

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This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written by respected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.


Applications of Computational Intelligence in Multi-Disciplinary Research

Applications of Computational Intelligence in Multi-Disciplinary Research

Author: Ahmed A. Elngar

Publisher: Academic Press

Published: 2022-02-14

Total Pages: 222

ISBN-13: 0128241764

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Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. - Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods - Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques - Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research


A First Course in Artificial Intelligence

A First Course in Artificial Intelligence

Author: Osondu Oguike

Publisher: Bentham Science Publishers

Published: 2021-07-14

Total Pages: 343

ISBN-13: 1681088541

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The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.


Dictionary of World Philosophy

Dictionary of World Philosophy

Author: A. Pablo Iannone

Publisher: Routledge

Published: 2013-04-15

Total Pages: 894

ISBN-13: 1134680430

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The Dictionary of World Philosophy covers the diverse and challenging terminology, concepts, schools and traditions of the vast field of world philosophy. Providing an extremely comprehensive resource and an essential point of reference in a complex and expanding field of study the Dictionary covers all major subfields of the discipline. Key features: * Cross-references are used to highlight interconnections and the cross-cultural diffusion and adaptation of terms which has taken place over time * The user is led from specific terms to master entries which provide valuable historical and cultural context * Each master entry is followed by at least two suggestions for further reading on the subject, creating a substantial bibliography of world philosophy * References extend beyond philosophy to related areas such as cognitive science, computer science, language and physics Subdisciplines covered include:* aesthetics * ethics * sociopolitical philosophy * the philosophy of law * epistemology * logic * the philosophy of science * the philosophy of mind * the philosophy of culture and history * metaphysics * the philosophy of religion Entries are drawn from West Africa, Arabic, Chinese, Indian, Japanese, Jewish, Korean, Latin American, Maori and Native American philosophy including the important and so far largely neglected instance of Pre-Hispanic thought: Nahua philosophy.