Militarized Conflict Modeling Using Computational Intelligence

Computational methods are playing an ever increasing role in cell biology.??This volume of Methods in Cell Biology focuses on Computational Methods in Cell Biology and consists of two parts: (1) data

This graduate-level guide introduces concepts, assumptions, and practical implementation procedures in hierarchical linear modeling (also known as multilevel modeling or linear mixed modeling). The fi

Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing societyHandbook of Real-World Applications in Modeling and Simulat

Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such, this book is the first comprehensive treatment of the subje

Essentials of Computational Electromagnetics provides an in-depth introduction of the three main full-wave numerical methods in computational electromagnetics (CEM); namely, the method of moment (MoM)

Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others.

Advances in Non-Linear Modeling for Speech Processing includes advanced topics in non-linear estimation and modeling techniques along with their applications to speaker recognition. Non-linear aeroaco

Knowledge about protein tertiary structure can guide experiments, assist in the understanding of structure-function relationships, and aid the design of new therapeutics for disease. Homology modeling

Strategic Conflict offers a research-based, accessible analysis of how people can manage conflict productively. Moving beyond the basics of conflict, it examines interpersonal situations in which conf

In this volume, which was originally published in 1996, noisy information is studied in the context of computational complexity; in other words the text deals with the computational complexity of mathematical problems for which information is partial, noisy and priced. The author develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications; deterministic as well as stochastic noise is considered. He presents optimal algorithms, optimal information, and complexity bounds in different settings: worst case, average case, mixed worst-average and average-worst, and asymptotic. The book integrates the work of researchers in such areas as computational complexity, approximation theory and statistics, and includes many fresh results as well. About two hundred exercises are supplied with a view to increasing the reader's understanding of the subject. The text will be of interest to professional computer scientists, statis

A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to d

Taking a front-line view, The Conflict Survival Kit: Tools for Resolving Conflict at Workfocuses on topics supervisors, team leads and managers need to know to address conflict in organizations. Each

This book offers an examination of how a deeply divided post-conflict society embarks on democratic transition. Using Rwanda as the case study, it combines analysis of democratic transition and ethnop

Action selection is the task of doing the right thing at the right time. It requires the assessment of available alternatives, executing those most appropriate, and resolving conflicts among competing goals and possibilities. Using advanced computational modelling, this book explores cutting-edge research into action selection in nature from a wide range of disciplines, from neuroscience to behavioural ecology, and even political science. It delivers new insights into both detailed and systems-level attributes of natural intelligence and demonstrates advances in methodological practice. Contributions from leading researchers cover issues including whether biological action selection is optimal, neural substrates for action selection in the vertebrate brain, perceptual selection in decision making, and interactions between group and individual action selection. This first integrated review of action selection in nature contains a balance of review and original research material, consoli

Modeling, Control and Coordination of Helicopter Systems provides a comprehensive treatment of helicopter systems, ranging from related nonlinear flight dynamic modeling and stability analysis to adva

To profoundly understand biology and harness its intricacies for human benefit and the mitigation of human harm requires cross-disciplinary approaches that incorporate sophisticated computational and

The book examines surface rainfall processes through cloud-resolving modeling and quantitative analysis of surface rainfall budget and summarizes modeling and analysis results in recent seven years. T

This book constitutes, together with LNAI 7002, LNAI 7003, and LNAI 7004, the refereed proceedings of the International Conference on Artificial Intelligence and ComputationaI Intelligence, AICI 2011,

Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these princi

"Modeling the Dynamics and Consequences of Land System Change" introduces an innovative three-tier architecture approach for modeling the dynamics and consequences of land system change. It also descr

Molecular Modeling and Multiscaling Issues for Electronic Material Applications provides a snapshot on the progression of molecular modeling in the electronics industry and how molecular modeling is c

The Definitive Guide to Microsoft SQL Server 2012 Reporting ServicesCreate, deploy, and manage business intelligence reports using the expert tips and best practices in this hands-on resource. Written

Annual Reports in Computational Chemistry provides timely and critical reviews of important topics in computational chemistry as applied to all chemical disciplines. Topics covered include quantum che

"This is where sex and gender collide, then ricochet like fragments of heart rending shrapnel. Rarely has a book about lust been full of so much love, conflict, and intelligence. If you think you alre

This edited book examines the East German foreign intelligence service (Hauptverwaltung Aufklarung, or HVA) as a historical problem, covering politics, scientific-technical and military intelligence a

The thesis is an original and novel contribution to land use/land cover change analysis using methods of geosimulation and agent-based modeling. The author implements several traditional methodologies

A modern approach to mathematical modeling, featuring unique applications from the field of mechanicsAn Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathemati

Safety and Risk Modeling presents the latest theories and methods of safety and risk with an emphasis on safety and risk in modeling. It covers applications in several areas including transportations

Using an original mode of presentation, and emphasizing the computational nature of the subject, this book explores a number of the unsolved problems that still exist in coding theory. A well-establis

Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB® and Simulink® covers the steps in modeling and simulation from probl

Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply t

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effectiv

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, che

Presents information about octopuses and how they demonstrate intelligence by preparing dens, communicating with one another, avoiding predators, using tools, and performing complex tricks.

Presents information about parrots and how they demonstrate intelligence by using spoken words to represent things, eating clay as a medicine in the wild, and dancing to the rhythm of music.

Advanced information technology infrastructure is increasingly being employed in the Earth sciences to provide researchers with efficient access to massive central databases and to integrate diversely formatted information from a variety of sources. These geoinformatics initiatives enable manipulation, modeling and visualization of data in a consistent way, and are helping to develop integrated Earth models at various scales, and from the near surface to the deep interior. This book uses a series of case studies to demonstrate computer and database use across the geosciences. Chapters are thematically grouped into sections that cover data collection and management; modeling and community computational codes; visualization and data representation; knowledge management and data integration; and web services and scientific workflows. Geoinformatics is a fascinating and accessible introduction to this emerging field for readers across the solid Earth sciences and an invaluable reference fo

This conference aims to bring biologists, medical and health-science researchers together with computational scientists to focus on problems at the frontier of computational life sciences. The confere

Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it

This book on intelligence analysis written by intelligence expert Dr. Stephen Marrin argues that scholarship can play a valuable role in improving intelligence analysis. Improving intelligence analysi

Using the tools of information technology to understand the molecular machinery ofthe cell offers both challenges and opportunities to computational scientists. Over the past decade,novel algorithms h