Adversarial Reasoning

The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands greater sophistication in tools and techniques of law enforcement, commercial and domestic security professionals, and terrorism prevention. Concentrating on computational solutions to determine or anticipate an adversary's intent, Adversarial Reasoning:

The rising tide of threats, from financial cybercrime to asymmetric military conflicts, demands greater sophistication in tools and techniques of law enforcement, commercial and domestic security professionals, and terrorism prevention. Concentrating on computational solutions to determine or anticipate an adversary's intent, Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind discusses the technologies for opponent strategy prediction, plan recognition, deception discovery and planning, and strategy formulation that not only applies to security issues but also to game industry and business transactions. Addressing a broad range of practical problems, including military planning and command, military and foreign intelligence, antiterrorism, network security, as well as simulation and training systems, this reference presents an overview of each problem and then explores various approaches and applications to understand the minds and negate the actions of your opponents. The techniques discussed originate from a variety of disciplines such as stochastic processes, artificial intelligence planning, cognitive modeling, robotics and agent theory, robust control, game theory, and machine learning, among others. The beginning chapters outline the key concepts related to discovering the opponent's intent and plans while the later chapters journey into mathematical methods for counterdeception. The final chapters employ a range of techniques, including reinforcement learning within a stochastic dynamic games context to devise strategies that combat opponents. By answering specific questions on how to create practical applications that require elements of adversarial reasoning while also exploring theoretical developments, Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind is beneficial for practitioners as well as researchers.

Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments.

A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.

This book combines performance analysis with contemporary political philosophy to advance new ways of understanding both political performance and the performativity of the politics of the street. Our times are pre-eminently political times and have drawn radical responses from many theatre and performance practitioners. However, a decade of conflict in the Middle East and Afghanistan, the eruption of new social movements around the world, the growth of anti-capitalist and anti-globalisation struggles, the upsurge of protests against the blockades of neoliberalism, and the rising tide of dissent and anger against corporate power, with its exorbitant social costs, have left theatre and performance scholarship confronting something of a dilemma: how to theorize the political antagonisms of our day? Drawing on the resources of ‘post-Marxist’ political thinkers such as Chantal Mouffe and Jacques Rancière, the book explores how new theoretical horizons have been made available for performance analysis.

Publisher's Note: This eBook contains detailed color diagrams and art and is best viewed on tablets or other color-capable devices with zooming ability. We do not recommend this title for black-and-white E Ink devices. Get everything you need to ace the new Critical Analysis and Reasoning Skills section on the updated MCAT exam! Designed specifically for students taking the longer, tougher exam debuting in 2015, The Princeton Review's MCAT CRITICAL ANALYSIS AND REASONING SKILLS REVIEW features: Everything You Need to Know to Help Achieve a High Score: · Access to our online Student Tools portal for up-to-the-moment information on late-breaking AAMC changes to the exam · In-depth coverage of the challenging critical analysis and reasoning skills needed for this important test · Bulleted chapter summaries for quick review · A fundamental 6-step approach to cracking any reading passage, including an annotated model passage to demonstrate this process · Strategic guidance and effective test-taking techniques More Practice Than Ever: · 3 full-length practice tests online · End-of-chapter practice questions · MCAT-style practice passages In MCAT CRITICAL ANALYSIS AND REASONING SKILLS REVIEW, you'll gain mastery of: · MCAT 2015 Basics · Critical Reasoning Skills Development · Active Reading · Passage Annotating and Mapping · Question Types and Formats · Process of Elimination and Attractors · Ranking and Ordering Passages · Strategy and Tactics · Mental Preparation And more!

This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group of internationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds.

First Published in 2008. Routledge is an imprint of Taylor & Francis, an informa company.

To feminists and some postmodernists reason/emotion and man/woman represent two fundamental polarities, fixed deep within Western philosophy and reflected in the structures of our languages, and two sets of hierarchical power relations in patriarchal society. Raia Prokhovnik challenges the tradition of dualism and argues that rational woman need no longer be a contradiction in terms. Prokhovnik examines in turn: · the nature of dichotomy, its problems and an alternative · the reason/emotion dichotomy · dichotomies central to the man/woman dualism, such as sex/gender and the heterosexual/ist norm