Computational Approaches To Conscious Artificial Intelligence

Artificial Intelligence (AI) has seen rapid advancements in recent years, particularly in the areas of deep learning and the ability to generalize from concrete objects to abstract concepts. Meanwhile, in the study of machine consciousness, a universally agreed definition among scientists and philosophers is still lacking.This book raises a number of issues surrounding the nature and implications of conscious artificial intelligence:This edited volume consists of 10 chapters that highlight the prospects of machine consciousness and study the subject from several perspectives. The issues are wide-ranging and include topics such as the metaverse, a computational approach to pain and suffering, universal cognitive intelligence, intentional action, the categorization of conscious machines, and more. The volume is designed as a reference guide for researchers, practitioners, and students interested in the intersection of AI and consciousness.

Could a machine have an immaterial mind? The author argues that true conscious machines can be built, but rejects artificial intelligence and classical neural networks in favour of the emulation of the cognitive processes of the brain—the flow of inner speech, inner imagery and emotions. This results in a non-numeric meaning-processing machine with distributed information representation and system reactions. It is argued that this machine would be conscious; it would be aware of its own existence and its mental content and perceive this as immaterial. Novel views on consciousness and the mind–body problem are presented. This book is a must for anyone interested in consciousness research and the latest ideas in the forthcoming technology of mind.

The book is interdisciplinary and focuses on the topic of artificial consciousness: from neuroscience to artificial intelligence, from bioengineering to robotics. It provides an overview on the current state of the art of research in the field of artificial consciousness and includes extended and revised versions of the papers presented at the International Workshop on ‘Artificial Consciousness', held in November 2005 at Agrigento (Italy).

Summarizes and illuminates two decades ofresearch Gathering important papers by both philosophers and scientists, this collection illuminates the central themes that have arisen during the last two decades of work on the conceptual foundations of artificial intelligence and cognitive science. Each volume begins with a comprehensive introduction that places the coverage in a broader perspective and links it with material in the companion volumes. The collection is of interest in many disciplines including computer science, linguistics, biology, information science, psychology, neuroscience, iconography, and philosophy. Examines initial efforts and the latestcontroversies The topics covered range from the bedrock assumptions of the computational approach to understanding the mind, to the more recent debates concerning cognitive architectures, all the way to the latest developments in robotics, artificial life, and dynamical systems theory. The collection first examines the lineage of major research programs, beginning with the basic idea of machine intelligence itself, then focuses on specific aspects of thought and intelligence, highlighting the much-discussed issue of consciousness, the equally important, but less densely researched issue of emotional response, and the more traditionally philosophical topic of language and meaning. Provides a gamut of perspectives The editors have included several articles that challenge crucial elements of the familiar research program of cognitive science, as well as important writings whose previous circulation has been limited. Within each volume the papers are organized to reflect a variety of research programs and issues. The substantive introductions that accompany each volume further organize the material and provide readers with a working sense of the issues and the connection between articles.

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.

In "From Self-Awareness to AI Consciousness," we set out on a trailblazing investigation of the developing field of Deep Physics, a ground-breaking theory that combines the fundamentals of deep learning and statistical physics to forecast the future of companies based on managerial choices. The book explores the relationships between AI consciousness, the future of organizations, and the influence of managerial choices on their performance through this ground-breaking lens. This stimulating book explores the philosophical ramifications of artificial intelligence consciousness and the potential for truly self-aware AI systems. We discover new opportunities for cooperation, innovation, and the advancement of knowledge by investigating the evolution of AI consciousness and its fusion with human expertise. We go over the broader effects of Deep Physics on business strategy, judgment calls, and society's future throughout the entire book. We examine how AI consciousness affects social and economic inequality, environmental sustainability, public policy, and technological advancement while also illuminating the transformative potential of Deep Physics and AI consciousness. For business executives, public officials, AI researchers, and anyone else interested in the relationship between artificial intelligence, consciousness, and the future of human society, "From Self-Awareness to AI Consciousness" is a must-read. The book invites readers to join a fascinating journey through the realms of self-awareness, AI consciousness, and the potential of Deep Physics to revolutionize how we comprehend and navigate the complexities of the modern world as we delve into the possibilities and challenges of this ground-breaking theory.

"This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--

Researchers in artificial intelligence and scholars in the humanities consider the past, present, and future of artificial intelligence from a multidisciplinary perspective.