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The next president of the United States faces innumerable complex problems, from a possible prolonged recession to climate change. An immediate difficulty for the president will be the global conflict between the West and Islamic jihadists and state sponsors of terrorism. The creation of the Department of Homeland Security and the recommendations of the 9/11 Commission notwithstanding, the administration needs to be armed and ready to tackle much more in the areas of intelligence and counterterrorism. The president can and must assume a hands-on, informed leadership role if the United States wants to make progress in the war on terror. Gary Berntsen has written this book as a guide for an incoming president and White House staff so that they may master current human intelligence and counterterrorism operations. After reading its highly specific recommendations and policy prescriptions, the president and his or her staff will be able to draft a First Directive for the leadership of the intelligence and national security communities outlining how the administration wants those communities to proceed and to defend the nation's interests. Human Intelligence, Counterterrorism, and National Leadership will be of interest to legislators, policymakers, and anyone concerned about intelligence and terrorism policy. With a foreword by Seth G. Jones, a political scientist at the RAND Corporation and Adjunct Professor in the Security Studies Program at Georgetown University. He is the author of In the Graveyard of Empires: America's War in Afghanistan and The Rise of European Security Cooperation.
How can human-level artificial intelligence be achieved? What are the potential consequences? This book describes a research approach toward achieving human-level AI, combining a doctoral thesis and research papers by the author. The research approach, called TalaMind, involves developing an AI system that uses a 'natural language of thought' based on the unconstrained syntax of a language such as English; designing the system as a collection of concepts that can create and modify concepts to behave intelligently in an environment; and using methods from cognitive linguistics for multiple levels of mental representation. Proposing a design-inspection alternative to the Turing Test, these pages discuss 'higher-level mentalities' of human intelligence, which include natural language understanding, higher-level forms of learning and reasoning, imagination, and consciousness. Dr. Jackson gives a comprehensive review of other research, addresses theoretical objections to the proposed approach and to achieving human-level AI in principle, and describes a prototype system that illustrates the potential of the approach. This book discusses economic risks and benefits of AI, considers how to ensure that human-level AI and superintelligence will be beneficial for humanity, and gives reasons why human-level AI may be necessary for humanity's survival and prosperity.
This book is a comprehensive survey of our scientific knowledge about human intelligence, written by a researcher who has spent more than 30 years studying the field, receiving a Lifetime Contribution award from the International Society for Intelligence. Human Intelligence takes a non-ideological view of a topic in which, too often, writings are dominated by a single theory or social viewpoint. The book discusses the conceptual status of intelligence as a collection of cognitive skills that include, but also go beyond, those skills evaluated by conventional tests; intelligence tests and their analysis; contemporary theories of intelligence; biological and social causes of intelligence; the importance of intelligence in social, industrial, and educational spheres; the role of intelligence in determining success in life, both inside and outside educational settings; and the nature and causes of variations in intelligence across age, gender, and racial and ethnic groups.
'What is intelligence?' may seem like a simple question to answer, but the study and measurement of human intelligence is one of the most controversial subjects in psychology. IQ and Human Intelligence provides an authoritative overview of the main issues surrounding this fascinating area.
Human genetic enhancement, examined from the standpoint of the new field of political bioethics, displaces the age-old question of truth: What is human nature? This book displaces that question with another: What kind of human nature should humans want to create for themselves? To answer that question, this book answers two others: What constraints should limit the applications of rapidly developing biotechnologies? What could possibly form the basis for corresponding public policy in a democratic society? Benjamin Gregg focuses on the distinctly political dimensions of human nature, where politics refers to competition among competing values on which to base public policy, legislation, and political culture. This book offers citizens of democratic communities a broad perspective on how they together might best approach urgent questions of how to deal with the socially and morally challenging potential for human genetic engineering.
Provides an overview of leading scholars' approaches to understanding the nature of intelligence, its measurement, its investigation, and its development.
The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study. This book develops a framework that shows how uncertainty in AI expands and generalizes traditional AI. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy. With in-depth discussions on the fundamentals, methodologies, and uncertainties in AI, this book explains and simulates human thinking, leading to a better understanding of cognitive processes.
This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5–8, 2023. The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.
