Militarized Conflict Modeling Using Computational Intelligence

Computational Atomic Structure: An MCHF Approach deals with the field of computational atomic structure, specifically with the multiconfiguration Hartree-Fock (MCHF) approach and the manner in which t

Strong women who prevail by using their intelligence, courage, or resourcefulness are celebrated in this gathering of stories from around the world.

A new edition of the classic undergraduate text introducing abstract algebra using concrete examples. The authors ground their explanations with computational and theoretical exercises to develop the

The aim of this volume is to provide an introduction and selective overview of the rapidly emerging field of computational economics. Computational economics provides an important set of tools that a

A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. After a brief introduction to this co

Using a totally new approach, this groundbreaking book establishes the logical connections between metallurgy, materials modeling, and numerical applications. In recognition of the fact that classical

Recent years have witnessed the development of computational geomechanics as an important branch of engineering. The use of modern computational techniques makes it possible to deal with many comple

The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski addr

The first unified introduction and reference for the field of computational complexity. Virtually non-existent only 25 years ago, computational complexity has expanded tremendously and now comprises a

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neu

Demonstrating the ways in which work in a broad range of fields can be pulled together in the analysis of conflict, this book provides the reader with a general introduction to the principles of conflict analysis and lays a methodological foundation for the further development of the interdisciplinary field of peace science. The text begins with an extensive survey of arms race models, from the classic Richardson model to models exploring the effects of factors such as the domestic and international economic environment, public opinion and party politics, and weapons technology and information development. The processes of individual and group problem-solving, in both crisis and non-crisis conditions, are examined, drawing on work in economics, operations research, cognitive science, and artificial intelligence. Building on this diverse body of work, the author moves on to develop a framework for conflict management with which to approach a variety of conflict situations and applies th

Systems Ecology An Introduction Howard T. Odum An integrated theoretical and applied approach to systems ecology, using diagrammatic language to explain basic concepts of systems, modeling, and simula

AN INSTANT NEW YORK TIMES BESTSELLERFrom Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AISomething new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In Co-Intelligence, Mollick urges us to engage with AI as co-worker, co-teacher, and coach. He assesses its profound impact on business and education, using do

The Soviet invasion of Afghanistan, in support of a Marxist-Leninist government, and the subsequent nine-year conflict with the indigenous Afghan Mujahedeen was one of the bloodiest conflicts of the Cold War. Key details of the circumstances surrounding the invasion and its ultimate conclusion only months before the fall of the Berlin Wall in November 1989 have long remained unclear; it is a confidential narrative of clandestine correspondence, covert operations and failed intelligence. The Secret War in Afghanistan undertakes a full analysis of recently declassified intelligence archives in order to asses Anglo-American secret intelligence and diplomacy relating to the invasion of Afghanistan and unveil the Cold War realities behind the rhetoric. Rooted at every turn in close examination of the primary evidence, it outlines the secret operations of the CIA, MI6 and the KGB, and the full extent of the aid and intelligence from the West which armed and trained the Afghan fighters.Drawin

A new paradigm for scientific discovery through computational tools now permeates every aspect of astronomical research. Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original software implementations, and associated technologies to discover new phenomena and to make predictions in astronomy. The proceedings of IAU Symposium 362 summarizes ongoing developments in computational astrophysics through astronomers in diverse fields sharing their knowledge and approaches. It focuses on computational methods applied to speed up and broaden the scope of scientific studies, such as finding trends in observational data, high performance computing, automated search algorithms, and model predictability. Experts discuss a palette of challenging informational and technical developments, with the goal of coordinating their efforts and the improvement of techniques in pursuit of a wide range of astronomical studies, including fluid dynam

An original comprehensive guide on computational nanomechanics discussing basic concepts and implications in areas such as computational physics, materials, mechanics and engineering as well as several other interdisciplinary avenues. This book makes the underlying theory accessible to readers without specialised training or extensive background in quantum physics, statistical mechanics, or theoretical chemistry. It combines a careful treatment of theoretical concepts with a detailed tutorial on computer software and computing implementation, including multiscale simulation and computational statistical theory. Multidisciplinary perspectives are provided, yielding a true insight on the applications of computational nanomechanics across diverse engineering fields. The book can serve as a practical guide with step-by-step discussion of coding, example problems and case studies. This book will be essential reading for students new to the subject, as well as an excellent reference for gra

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

When we are baffled by the insanity of the ';other side'in our politics, at work, or at homeit's because we aren't seeing how the conflict itself has taken over.That's what ';high conflict' does. It's the invisible hand of our time. And it's different from the useful friction of healthy conflict. That's good conflict, and it's a necessary force that pushes us to be better people. High conflict is what happens when discord distills into a good-versus-evil kind of feud, the kind with an us and a them. In this state, the brain behaves differently. We feel increasingly certain of our own superiority, and everything we do to try to end the conflict, usually makes it worse. Eventually, we can start to mimic the behavior of our adversaries, harming what we hold most dear. In this ';compulsively readable' (Evan Osnos, National Book Award-winning author) book, New York Times bestselling author and award-winning journalist Amanda Ripley investigates how good people get captured by high conflicta

Up-to-date edition of Computational Geomechanics, broadening the focus of the first edition to include more applications This extended second edition of the highly successful book Computational Geomec

Forging Leninism in China is a re-examination of the events of the Chinese revolution and the transformation of the Chinese Communist Party from the years 1927 to 1934. Describing the transformation of the party as 'the forging of Leninism', Joseph Fewsmith offers a clear analysis of the development of the party. Drawing on supporting statements of party leaders and a wealth of historical material, he demonstrates how the Chinese Communist Party reshaped itself to become far more violent, more hierarchical, and more militarized during this time. He highlights the role of local educated youth in organizing the Chinese revolution, arguing that it was these local organizations, rather than Mao, who introduced Marxism into the countryside. Fewsmith presents a vivid story of local social history and conflict between Mao's revolutionaries and local Communists.

An indispensable primer and reference textbook, the third edition of Geochemical and Biogeochemical Reaction Modeling carries the reader from the field's origins and theoretical underpinnings through to a collection of fully worked examples. A clear exposition of the underlying equations and calculation techniques is balanced by real-world example calculations. The book depicts geochemical reaction modeling as a vibrant field of study applicable to a wide spectrum of issues of scientific, practical, and societal concern. The new edition offers a thorough description of surface complexation modeling, including two- and three-layer methods; broader treatment of kinetic rate laws; the effect of stagnant zones on transport; and techniques for determining gas partial pressures. This handbook demystifies and makes broadly accessible an elegant technique for portraying chemical processes in the geosphere. It will again prove to be invaluable for geochemists, environmental scientists and engin

Climate predictions - and the computer models behind them - play a key role in shaping public opinion and our response to the climate crisis. Some people interpret these predictions as 'prophecies of doom' and some others dismiss them as mere speculation, but the vast majority are only vaguely aware of the science behind them. This book gives a balanced view of the strengths and limitations of climate modeling. It covers historical developments, current challenges, and future trends in the field. The accessible discussion of climate modeling only requires a basic knowledge of science. Uncertainties in climate predictions and their implications for assessing climate risk are analyzed, as are the computational challenges faced by future models. The book concludes by highlighting the dangers of climate 'doomism', while also making clear the value of predictive models, and the severe and very real risks posed by anthropogenic climate change.

Providing a detailed and pedagogical account of the rapidly-growing field of computational statistical physics, this book covers both the theoretical foundations of equilibrium and non-equilibrium statistical physics, and also modern, computational applications such as percolation, random walks, magnetic systems, machine learning dynamics, and spreading processes on complex networks. A detailed discussion of molecular dynamics simulations is also included, a topic of great importance in biophysics and physical chemistry. The accessible and self-contained approach adopted by the authors makes this book suitable for teaching courses at graduate level, and numerous worked examples and end of chapter problems allow students to test their progress and understanding.

Introduction to Intelligence: Institutions, Operations, and Analysis offers you a strategic, international, and comparative approach to covering intelligence organizations and domestic security issues. Written by multiple authors, each chapter draws on the author's professional and scholarly expertise in the subject matter. As a core text for an introductory survey course in intelligence, this text provides you with a comprehensive introduction to intelligence, including institutions and processes, collection, communications, and common analytic methods.

In the digital world, the significance of emotional intelligence (EI) will gain further importance as technologies such as artificial intelligence (AI) and automation partly or fully replace human int

This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metab

This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metab

Now updated with new material, the groundbreaking history of how police forces have become militarized, both in equipment and mindset, and what that means for American democracy.The last days of colon

Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance.It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no

In this Element, I first introduce intelligence in terms of historical definitions. I show that intelligence, as conceived even by the originators of the first intelligence tests, Alfred Binet and David Wechsler, is a much broader construct than just scores on narrow tests of intelligence and their proxies. I then review the major approaches to understanding intelligence and its development: the psychometric (test-based), cognitive and neurocognitive (intelligence as a set of brain-based cognitive representations and processes), systems, cultural, and developmental. These approaches, taken together, present a much more complex portrait of intelligence and its development than the one that would be ascertained just from scores on intelligence tests. Finally, I draw some take-away conclusions.

Kashmir remains one of the world's most militarized areas of dispute, having been in the grips of an armed insurgency against India since the late 1980s. In existing scholarship, ideas of territoriality, state sovereignty, and national security have dominated the discourses on the Kashmir conflict. This book, in contrast, places Kashmir and Kashmiris at the center of historical debate and investigates a broad range of sources to illuminate a century of political players and social structures on both sides of divided Kashmir and in the wider Kashmiri diaspora. In the process, it broadens the contours of Kashmir's postcolonial and resistance history, complicates the meaning of Kashmiri identity, and reveals Kashmiris' myriad imaginings of freedom. It asserts that 'Kashmir' has emerged as a political imaginary in postcolonial era, a vision that grounds Kashmiris in their negotiations for rights not only in India and Pakistan, but also in global political spaces.

Emotional intelligence is an important trait for success at work. IQ tests are biased against minorities. Every child is gifted. Preschool makes children smarter. Western understandings of intelligence are inappropriate for other cultures. These are some of the statements about intelligence that are common in the media and in popular culture. But none of them are true. In the Know is a tour of the most common incorrect beliefs about intelligence and IQ. Written in a fantastically engaging way, each chapter is dedicated to correcting a misconception and explains the real science behind intelligence. Controversies related to IQ will wither away in the face of the facts, leaving readers with a clear understanding about the truth of intelligence.

Emotional intelligence is an important trait for success at work. IQ tests are biased against minorities. Every child is gifted. Preschool makes children smarter. Western understandings of intelligence are inappropriate for other cultures. These are some of the statements about intelligence that are common in the media and in popular culture. But none of them are true. In the Know is a tour of the most common incorrect beliefs about intelligence and IQ. Written in a fantastically engaging way, each chapter is dedicated to correcting a misconception and explains the real science behind intelligence. Controversies related to IQ will wither away in the face of the facts, leaving readers with a clear understanding about the truth of intelligence.

The Routledge Handbook of Arctic Security offers a comprehensive examination of security in the region, encompassing both state-based and militarized notions of security, as well as broader security p

Language resources and computational models are becoming increasingly important for the study of language variation. A main challenge of this interdisciplinary field is that linguistics researchers may not be familiar with these helpful computational tools and many NLP researchers are often not familiar with language variation phenomena. This essential reference introduces researchers to the necessary computational models for processing similar languages, varieties, and dialects. In this book, leading experts tackle the inherent challenges of the field by balancing a thorough discussion of the theoretical background with a meaningful overview of state-of-the-art language technology. The book can be used in a graduate course, or as a supplementary text for courses on language variation, dialectology, and sociolinguistics or on computational linguistics and NLP. Part 1 covers the linguistic fundamentals of the field such as the question of status and language variation. Part 2 discusses

Natural Language Processing in Artificial Intelligence, focuses on natural language processing, artificial intelligence, and allied areas. The book delves into natural language processing, which enabl

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability.Drones with night vision are tracking elephant and rhino poachers in African wildlife parks

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these advances for philosophy.

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these advances for philosophy.