Militarized Conflict Modeling Using Computational Intelligence

It is now widely accepted that international human rights law applies in situations of armed conflict alongside international humanitarian law, but the contours and consequences of this development remain unclear. This book revisits, organizes and contextualizes the debate on human rights in armed conflict and explores the legal challenges, operational consequences and policy implications of resorting to human rights in situations of inter- and intra-state violence. It presents the benefits and the drawbacks of using international human rights law alongside humanitarian law and discusses how the idea, law and policy of human rights influence the development of the law of armed conflict. Based on legal theory, policy analysis, state practice and the work of human rights bodies, it suggests a human rights-oriented reading of the law of armed conflict as feasible and necessary in response to the changing character of war.

As the artificial intelligence revolution sweeps through the global economy, nothing is more important than pure play leadership. Using a fable, "The Beaver Bot of Yellowstone" guides business leaders

This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automa

This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automa

Using key perspectives from linguistic anthropology, Discourse, Conflict, and Belonging in Post-War Ireland illuminates how social actors take up the ideals of law, equality, and democratic representa

Landslides have geological causes but can be triggered by natural processes (rainfall, snowmelt, erosion and earthquakes) or by human actions such as agriculture and construction. Research aimed at better understanding slope stability and failure has accelerated in recent years, accompanied by basic field research and numerical modeling of slope failure processes, mechanisms of debris movement, and landslide causes and triggers. Written by seventy-five world-leading researchers and practitioners, this book provides a state-of-the-art summary of landslide science. It features both field geology and engineering approaches, as well as modeling of slope failure and run-out using a variety of numerical codes. It is illustrated with international case studies integrating geological, geotechnical and remote sensing studies, and includes recent slope investigations in North America, Europe and Asia. This is an essential reference for researchers and graduate students in geomorphology, engineer

How are computational techniques changing the ways in which architects are designing buildings today? Computational Design offers a range of informed opinions on the subject, written by some of the le

This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer visio

Intelligent (machine) learning is a subfield of artificial intelligence and it originates from the researches in the pattern recognition, the computational learning theory, and the use of statistics f

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction with the available technologies for providing advanced sensing,

We tend to approach conflict from the perspective of competing interests. A farmer’s interest lies in preserving water for crops, while an environmentalist’s interest is in using that same

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the Inte

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling techniques. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical derivations. All data analyses are performed on real and publicly available data sets, which are revisited multiple times to show differing results using various modeling options. Common pitfalls, data issues, and interpretation of model results are also addressed. Programs in both R and SAS are made available for all results presented in the text so that readers can emulate and adapt analyses for

Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machin

This book explores the application of the open-source software OpenGeoSys (OGS) for hydrological numerical simulations concerning conservative and reactive transport modeling. It provides general info

BOOK #5 IN THE BEST-SELLING TAU CETI AGENDA SERIES, SEQUEL TO TRAIL OF EVIL. Humanity takes to interstellar space to face conflict and an extermination threat from an evil artificial intelligence, and

The aim this volume is to present the methods, challenges, software, and applications. Computational Protein Design guides readers through computational protein design, software and specific targets.

This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific ef

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research c

The book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision

Computational chemistry is a science that allows researchers to study, characterize and predict the structure and stability of chemical systems. In other words: studying energy differences between dif

Help students solve word problems with confidence using the proven Singapore bar modeling method. Twenty mini-lessons teach students how to use this effective strategy to tackle problems with addition

Help students solve word problems with confidence using the proven Singapore bar modeling method. Twenty mini-lessons teach students how to use this effective strategy to tackle problems with addition

Help students solve word problems with confidence using the proven Singapore bar modeling method. Twenty mini-lessons teach students how to use this effective strategy to tackle problems with addition

Help students solve word problems with confidence using the proven Singapore bar modeling method. Twenty mini-lessons teach students how to use this effective strategy to tackle problems with multipli

Help students solve word problems with confidence using the proven Singapore bar modeling method. Twenty mini-lessons teach students how to use this effective strategy to tackle problems with fraction

Help students solve word problems with confidence using the proven Singapore bar modeling method. Twenty mini-lessons teach students how to use this effective strategy to tackle problems with multipli

Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approach

This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced to the modeling process is critical, as are strategies for minim

This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive tri

This unique and comprehensive introduction offers an unrivalled and in-depth understanding of the computational-based thermodynamic approach and how it can be used to guide the design of materials for robust performances, integrating basic fundamental concepts with experimental techniques and practical industrial applications, to provide readers with a thorough grounding in the subject. Topics covered range from the underlying thermodynamic principles, to the theory and methodology of thermodynamic data collecting, analysis, modeling, and verification, with details on free energy, phase equilibrium, phase diagrams, chemical reactions, and electrochemistry. In thermodynamic modelling, the authors focus on the CALPHAD method and first-principles calculations. They also provide guidance for use of YPHON, a mixed-space phonon code developed by the authors for polar materials based on the supercell approach. Including worked examples, case studies, and end-of-chapter problems, this is an es

A gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, whi

This book demonstratesthe success of Ambient Intelligence in providing possible solutions for the dailyneeds of humans. The book addresses implications of ambient intelligence in areasof domestic livi

BOOK #4 IN THE BEST-SELLING TAU CETI AGENDA SERIES. Humanity takes to interstellar space to face conflict and an extermination threat from an evil artificial intelligence, and a possible menace from b

Sustaining Conflict develops a groundbreaking theory of political apathy, using a combination of ethnographic material, narrative, and political, cultural, and feminist theory. It examines how the sta

Sustaining Conflict develops a groundbreaking theory of political apathy, using a combination of ethnographic material, narrative, and political, cultural, and feminist theory. It examines how the sta

This book explores the persistence of violence in conflict zones in Africa using a political economy framework to situate violence against women and men in the context of criminal, corrupt, and violen

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.