Networks Of Knowledge Unraveling The Enigma Of Collective Intelligence
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Networks of Knowledge: Unraveling the Enigma of Collective Intelligence
In "Networks of Knowledge: Unraveling the Enigma of Collective Intelligence," embark on a captivating journey into the fascinating world of artificial intelligence, probabilistic reasoning, and the interconnected systems that shape our lives. Delve into the depths of network theory, uncovering the intricate patterns and dynamics that govern everything from social interactions to biological processes. Discover the power of collective intelligence as we explore the mechanisms that enable crowds to outperform individuals, harnessing the wisdom of many minds to solve complex problems. Witness the transformative impact of expert systems, intelligent machines designed to emulate human expertise, as they revolutionize industries and empower us with specialized knowledge. Unravel the art of reasoning under uncertainty with Bayesian networks, powerful tools that combine prior knowledge and new evidence to make informed decisions. Delve into the realm of machine learning, where algorithms empower computers to learn from data, uncovering hidden patterns and making accurate predictions. Explore the fascinating world of artificial neural networks, inspired by the human brain, as they achieve remarkable feats in fields such as computer vision, natural language processing, and robotics. Confront the ethical implications of artificial intelligence, navigating the uncharted waters of responsible AI development and exploring the impact of AI on society, employment, privacy, and human values. "Networks of Knowledge" is an indispensable guide for anyone seeking to understand the cutting-edge advancements in artificial intelligence and probabilistic reasoning. With clear explanations, engaging examples, and thought-provoking insights, this book demystifies complex concepts and reveals the profound impact of interconnected systems on our world. If you like this book, write a review!
Cyber Security Politics
This book examines new and challenging political aspects of cyber security and presents it as an issue defined by socio-technological uncertainty and political fragmentation. Structured along two broad themes and providing empirical examples for how socio-technical changes and political responses interact, the first part of the book looks at the current use of cyber space in conflictual settings, while the second focuses on political responses by state and non-state actors in an environment defined by uncertainties. Within this, it highlights four key debates that encapsulate the complexities and paradoxes of cyber security politics from a Western perspective – how much political influence states can achieve via cyber operations and what context factors condition the (limited) strategic utility of such operations; the role of emerging digital technologies and how the dynamics of the tech innovation process reinforce the fragmentation of the governance space; how states attempt to uphold stability in cyberspace and, more generally, in their strategic relations; and how the shared responsibility of state, economy, and society for cyber security continues to be re-negotiated in an increasingly trans-sectoral and transnational governance space. This book will be of much interest to students of cyber security, global governance, technology studies, and international relations. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Artificial Intelligence
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.