Militarized Conflict Modeling Using Computational Intelligence

Risk Analysis concerns itself with the quantification of risk, the modeling of identified risks and how to make decisions from those models. Quantitative risk analysis (QRA) using Monte Carlo simulat

Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and

Due to the increase in computational power and new discoveries in propagation phenomena for linear and nonlinear waves, the area of computational wave propagation has become more significant in recent

What is intelligence-led policing? Who came up with the idea? Where did it come from? How does it relate to other policing paradigms? What distinguishes an intelligence-led approach to crime reduction

What is intelligence-led policing? Who came up with the idea? Where did it come from? How does it relate to other policing paradigms? What distinguishes an intelligence-led approach to crime reduction

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-eff

Here, the world's most active and productive computational scientists from academia and industry present established, effective and powerful tools for understanding catalysts. With its broad scope --

Ideal for beginners, this book explains the basics of modeling in a competent yet easily understandable way. Following complete sections on the modeling of small molecules, protein modeling and chemog

Conflict Coaching: Conflict Management Strategies and Skills for the Individual defines this growing area of conflict resolution and distinguishes conflict coaching as a stand-alone resolution techni

As with the bestselling first edition, Computational Statistics Handbook with MATLAB®, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. Wit

With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explore

This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the u

Media argumentation is a powerful force in our lives. From political speeches to television commercials to war propaganda, it can effectively mobilize political action, influence the public, and market products. This book presents a new and systematic way of thinking about the influence of mass media in our lives, showing the intersection of media sources with argumentation theory, informal logic, computational theory, and theories of persuasion. Using a variety of case studies that represent arguments that typically occur in the mass media, Douglas Walton demonstrates how tools recently developed in argumentation theory can be usefully applied to the identification, analysis, and evaluation of media arguments. He draws upon the most recent developments in artificial intelligence, including dialogical theories of argument, which he developed, as well as speech act theory. Each chapter presents solutions to problems central to understanding, analyzing, and criticizing media argumentatio

Media argumentation is a powerful force in our lives. From political speeches to television commercials to war propaganda, it can effectively mobilize political action, influence the public, and market products. This book presents a new and systematic way of thinking about the influence of mass media in our lives, showing the intersection of media sources with argumentation theory, informal logic, computational theory, and theories of persuasion. Using a variety of case studies that represent arguments that typically occur in the mass media, Douglas Walton demonstrates how tools recently developed in argumentation theory can be usefully applied to the identification, analysis, and evaluation of media arguments. He draws upon the most recent developments in artificial intelligence, including dialogical theories of argument, which he developed, as well as speech act theory. Each chapter presents solutions to problems central to understanding, analyzing, and criticizing media argumentatio

In Wisdom, Intelligence, and Creativity Synthesized, Sternberg reviews and summarizes the best research available on human intelligence. He argues that any serious understanding of intelligence must go beyond the standard paper and pencil tests currently in use. In addition to analytical and quantitative abilities, a theory of intelligence must take account of peoples' creative abilities - their ability to go beyond given information and imagine new and exciting ways of reformulating old problems. It must also take into account peoples' ability to weigh options carefully and act prudently. Understanding one's own intellectual shortcomings, and learning how to overcome, is as important as developing one's strengths. Sternberg develops a vision of human intelligence that is far more nuanced and accurate than anything previously offered. Wisdom, Intelligence and Creativity Synthesized will be essential reading for psychologists, cognitive scientists, educators, and organizational research

Without inductive reasoning, we couldn't generalize from one instance to another, derive scientific hypotheses, or predict that the sun will rise again tomorrow morning. Despite the widespread nature of inductive reasoning, books on this topic are rare. Indeed, this is the first book on the psychology of inductive reasoning in twenty years. The chapters survey recent advances in the study of inductive reasoning and address questions about how it develops, the role of knowledge in induction, how best to model people's reasoning, and how induction relates to other forms of thinking. Written by experts in philosophy, developmental science, cognitive psychology, and computational modeling, the contributions here will be of interest to a general cognitive science audience as well as to those with a more specialized interest in the study of thinking.

Without inductive reasoning, we couldn't generalize from one instance to another, derive scientific hypotheses, or predict that the sun will rise again tomorrow morning. Despite the widespread nature of inductive reasoning, books on this topic are rare. Indeed, this is the first book on the psychology of inductive reasoning in twenty years. The chapters survey recent advances in the study of inductive reasoning and address questions about how it develops, the role of knowledge in induction, how best to model people's reasoning, and how induction relates to other forms of thinking. Written by experts in philosophy, developmental science, cognitive psychology, and computational modeling, the contributions here will be of interest to a general cognitive science audience as well as to those with a more specialized interest in the study of thinking.

Abstract Soil and Rock Behavior and Modeling represents the latest advances in the static and dynamic behavior of soils and rocks, including constitutive modeling and numerical methods. This Geotec

In our day-to-day lives we constantly make decisions which are simply 'good enough' rather than optimal. Most computer-based decision-making algorithms, on the other hand, doggedly seek only the optimal solution based on rigid criteria and reject any others. In this book, Professor Stirling outlines an alternative approach, using novel algorithms and techniques which can be used to find satisficing solutions. Building on traditional decision and game theory, these techniques allow decision-making systems to cope with more subtle situations where self and group interests conflict, perfect solutions can't be found and human issues need to be taken into account - in short, more closely modelling the way humans make decisions. The book will therefore be of great interest to engineers, computer scientists and mathematicians working on artificial intelligence and expert systems.

This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 3

Human intelligence is sexually attractive, and strongly predicts the success of sexual relationships, but the behavioral sciences have usually ignored the interface between intelligence and mating. Th

"Brown is well known for research on mathematical modeling in the social sciences. His book introduces the graph algebra approach to modeling systems in the social sciences."-CHOICEGraph Algebra: Mat

The 21 papers presented here by Brebbia (Wessex Institute of Technology, UK) and Motta (Brazilian Navy Research Institute, Brazil) originated from the Third International Conference on Computational B

Topics in Mathematical Modeling is an introductory textbook on mathematical modeling. The book teaches how simple mathematics can help formulate and solve real problems of current research interest in

Conflict Management is an easy-to-read and high-powered tool for understanding and managing conflict situations. Conflict can spiral out of control, but if you understand how the spiral works you may

First published in 2007, this second edition describes the computational methods used in theoretical physics. New sections were added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from www.cambridge.org/9781107677135. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge of condensed matter theory and statistica

"Presents the different types of modeling, how to get started in modeling, and supermodels of the past and present"--Provided by publisher.

Written for students, researchers, consultants, professionals, and scholars, Logic Modeling Methods in Program Evaluation provides a step-by-step explanation of logic modeling and its importance in co

Let this in-depth professional book be your guide to Blender, the powerful open-source 3D modeling and animation software that will bring your ideas to life. Using clear step-by-step instruction and p

Computational vision deals with the underlying mathematical and computational models for how visual information is processed. Whether the processing is biological or machine, there are fundamental questions related to how the information is processed. How should information be represented? How should information be transduced in order to highlight features of interest while suppressing noise and other artefacts of the image capture process? Computational Vision in Neural and Machine Systems address these and other questions in 13 chapters, divided into three sections, which overlap between biological and computational systems: dynamical systems; attention, motion, and eye-movements; and stereovision. The editors have brought together the best and brightest minds in the field of computational vision, combining research from both biology and computing and enhancing the developing synergy between computational and biological visual modelling communities. Aimed at researchers and graduate

"Presents the different types of modeling, how to get started in modeling, and supermodels of the past and present"--Provided by publisher.

This book develops a formal computational theory of writing systems. It offers specific proposals about the linguistic objects that are represented by orthographic elements; what levels of linguistic representation are involved and how they may differ across writing systems; and what formal constraints hold of the mapping relation between linguistic and orthographic elements. Based on the insights gained, Sproat then proposes a taxonomy of writing systems. The treatment of theoretical linguistic issues and their computational implementation is complemented with discussion of empirical psycholinguistic work on reading and its relevance for the computational model developed here. Throughout, the model is illustrated with a number of detailed case studies of writing systems around the world. This book will be of interest to students and researchers in a variety of fields, including theoretical and computational linguistics, the psycholinguistics of reading and writing, and speech technolo

Although natural language processing has come far, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and apply theoretical work already done? Editors Madeleine Bates and Ralph Weischedel believe it is neither; they feel that several critical issues have never been adequately addressed in either theoretical or applied work, and they have invited capable researchers in the field to do that in Challenges in Natural Language Processing. This volume will be of interest to researchers of computational linguistics in academic and non-academic settings and to graduate students in computational linguistics, artificial intelligence and linguistics.

Coupling the basics of hygrogeology with analytical and numerical modeling methods, Hydrogeology and Groundwater Modeling, Second Edition provides detailed coverage of both theory and practice. Writte

An exceptionally practical and project-driven book, Exploring 3D Modeling with 3Ds Max 8 is written specifically for designers interested in exploring the concepts and technology of modeling. The bo

This book, first published in 2006, presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits that add strength to its utility as a means of making scientific progress. In light of the capabilities of SEM, it can be argued that much of ecological theory is currently locked in an immature state that impairs its relevance. It is further argued that the principles of SEM are capable of leading to the development and evaluation of multivariate theories of the sort vitally

SystemVerilog is a rich set of extensions to the IEEE 1364-2001 Verilog Hardware Description Language (Verilog HDL). These extensions address two major aspects of HDL-based design. First, modeling ve

The roots of intelligence failures can be found in specific dysfunctions along the various stages of the intelligence cycle of setting priorities, intelligence collection, analysis, and dissemination

This volume is a collection of articles based on the plenary talks presented at the 2005 meeting in Santander of the Society for the Foundations of Computational Mathematics. The talks were given by some of the foremost world authorities in computational mathematics. The topics covered reflect the breadth of research within the area as well as the richness and fertility of interactions between seemingly unrelated branches of pure and applied mathematics. As a result this volume will be of interest to researchers in the field of computational mathematics and also to non-experts who wish to gain some insight into the state of the art in this active and significant field.

Words of Intelligence: A Dictionary is intended for the intelligence and national security forces fighting the global war on terrorism at all levels: local, state, and federal. The intelligence commu