Militarized Conflict Modeling Using Computational Intelligence

Describes how to conceptualize, perform, and critique traditional generalized linear models (GLMs) from a Bayesian perspective and how to use modern computational methods to summarize inferences using

Looking at the political, military and intelligence components of the Yom Kippur War, this work offers interpretations of Israel's conflict with the Arabs. The contributors, Israeli academics, some in

Robert Powell argues persuasively and elegantly for the usefulness of formal models in studying international conflict and for the necessity of greater dialogue between modeling and empirical analysis

This guide overviews the Unified Process for software development, with a focus on modeling using the Unified Modeling Language (UML). It demonstrates how the notation and process complement on anothe

The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classifi

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it recei

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

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

Intelligence services form an important but controversial part of the modern state. Drawing mainly on British and American examples, this book provides an analytic framework for understanding the 'intelligence community' and assessing its value. The author, a former senior British intelligence officer, describes intelligence activities, the purposes which the system serves, and the causes and effects of its secrecy. He considers 'intelligence failure' and how organisation and management can improve the chances of success. Using parallels with the information society and the current search for efficiency in public administration as a whole, the book explores the issues involved in deciding how much intelligence is needed and discusses the kinds of management necessary. In his conclusions Michael Herman discusses intelligence's national value in the post-Cold War world. He also argues that it has important contributions to make to international security, but that its threat-inducing acti

Intelligence services form an important but controversial part of the modern state. Drawing mainly on British and American examples, this book provides an analytic framework for understanding the 'intelligence community' and assessing its value. The author, a former senior British intelligence officer, describes intelligence activities, the purposes which the system serves, and the causes and effects of its secrecy. He considers 'intelligence failure' and how organisation and management can improve the chances of success. Using parallels with the information society and the current search for efficiency in public administration as a whole, the book explores the issues involved in deciding how much intelligence is needed and discusses the kinds of management necessary. In his conclusions Michael Herman discusses intelligence's national value in the post-Cold War world. He also argues that it has important contributions to make to international security, but that its threat-inducing acti

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

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

This volume explores computational vaccine design and the technologies that support it. Chapters have been divided into four parts detailing immunonics and system immunology, databases, prediction of antigenicity and immunogenicity, and computational vaccinology. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Vaccine Design: Methods and Protocols aims to reflect on the rigorous and imaginative use of computational technologies to help catalyze future efforts and to improve global public health through the development of a broad range of novel vaccines.

A groundbreaking endeavor that explores human spirituality using the evolving technology of artificial intelligenceWhy are we here? What does it mean to love? How do we overcome suffering? Why do we feel so alone? Is happiness truly possible?For thousands of years, humanity has turned to the same sacred texts to explore these universal questions―from the Bible and the Tao Te Ching, to the poetry of Rumi and Sappho, to modern-day mystics. What if you could take all of the wisdom contained within these collective pages and, using the world’s most advanced artificial intelligence, receive the answers?Thanks to OpenAI, a nonprofit research lab cofounded by Elon Musk and other tech luminaries, this is now possible. OpenAI’s mission is to ensure that artificial intelligence serves the betterment of humanity―and What Makes Us Human? offers an innovative exploration of AI’s potential in this realm.To create this first-of-its-kind book, international bestselling poet Iain S. Thomas and prodigio

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.

This practical book presents the modeling of dynamic biological engineering processes in a readily comprehensible manner, using the unique combination of simplified fundamental theory and direct hands

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

Adaptive Intelligence is a dramatic reappraisal and reframing of the concept of human intelligence. In a sweeping analysis, Robert J. Sternberg argues that we are using a fatally-flawed, outdated conception of intelligence; one which may promote technological advancement, but which has also accelerated climate change, pollution, the use of weaponry, and inequality. Instead of focusing on the narrow academic skills measured by standardized tests, societies should teach and assess adaptive intelligence, defined as the use of collective talent in service of the common good. This book describes why the outdated notion of intelligence persists, what adaptive intelligence is, and how it could lead humankind on a more positive path.

Adaptive Intelligence is a dramatic reappraisal and reframing of the concept of human intelligence. In a sweeping analysis, Robert J. Sternberg argues that we are using a fatally-flawed, outdated conception of intelligence; one which may promote technological advancement, but which has also accelerated climate change, pollution, the use of weaponry, and inequality. Instead of focusing on the narrow academic skills measured by standardized tests, societies should teach and assess adaptive intelligence, defined as the use of collective talent in service of the common good. This book describes why the outdated notion of intelligence persists, what adaptive intelligence is, and how it could lead humankind on a more positive path.

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.

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

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 addresses the integration of all the new tools and technologies presented in today’s plethora of artificial intelligence tools and technologies to boost and enhance business intelligence. It

This book addresses the integration of all the new tools and technologies presented in today’s plethora of artificial intelligence tools and technologies to boost and enhance business intelligence. It

Learn how to apply cognitive principles to the problems of computer vision Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in bio

With the most comprehensive and up-to-date overview of structure-based drug discovery and using experimental and computational approaches, this book covers principles, methods, applications, and emerg

Written by the foremost experts in human intelligence. It not only includes traditional topics, such as the nature, measurement, and development of intelligence, but also contemporary research into intelligence and video games, collective intelligence, emotional intelligence, and leadership intelligence. In an area of study that has been fraught with ideological differences, this Handbook provides scientifically balanced and objective chapters covering a wide range of topics. It does not shy away from material that historically has been emotionally charged and sometimes covered in biased ways, such as intellectual disability, race and intelligence, culture and intelligence, and intelligence testing. The overview provided by this two-volume set leaves virtually no area of intelligence research uncovered, making it an ideal resource for undergraduates, graduate students, and professionals looking for a refresher or a summary of the new developments.