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By paying close attention to the metaphors of artificial intelligence and their consequences for the field's patterns of success and failure, this text argues for a reorientation of the field away from thought and toward activity. It offers a critical reconstruction of AI research.
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.
The perspectives and techniques used in human-computer interaction design, practice and research are broadening. This book looks at emerging approaches which are likely to contribute to the discipline in near future. The emphasis is on the social, cognitive, emotional, creative and active dimensions of the human actor. The underlying idea is that human character rather than technology should determine the nature of interaction. The concept of "interaction design" covers this broader range of concerns relevant to enabling quality design. Each chapter emphasizes alternative perspectives on interaction and new concepts to help researchers and practitioners relate to alternative design approaches and opportunities. Many of these new elements can be found to be successful and established in other fields, such as information systems development and industrial design. This volume will be of considerable value to those seeking innovative and developing perspectives upon both designing and ensuring effective interaction between humans and technology.
This distinguished collection of essays explores the place of natural language in human cognition.
Consciousness is widely perceived as one of the most fundamental, interesting and difficult problems of our time. However, we still know next to nothing about the relationship between consciousness and the brain and we can only speculate about the consciousness of animals and machines. Human and Machine Consciousness presents a new foundation for the scientific study of consciousness. It sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines. Gamez interprets the scientific study of consciousness as a search for mathematical theories that map between measurements of consciousness and measurements of the physical world. We can use artificial intelligence to discover these theories and they could make accurate predictions about the consciousness of humans, animals and artificial systems. Human and Machine Consciousness also provides original insights into unusual conscious experiences, such as hallucinations, religious experiences and out-of-body states, and demonstrates how ‘designer’ states of consciousness could be created in the future. Gamez explains difficult concepts in a clear way that closely engages with scientific research. His punchy, concise prose is packed with vivid examples, making it suitable for the educated general reader as well as philosophers and scientists. Problems are brought to life in colourful illustrations and a helpful summary is given at the end of each chapter. The endnotes provide detailed discussions of individual points and full references to the scientific and philosophical literature.
New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
For fifty years Hubert Dreyfus has addressed an astonishing range of issues in the fields of phenomenology, existentialism, cognitive science, and the philosophical study of mind. Dreyfus has inspired a whole generation of philosophers as he has creatively drawn on and clearly articulated the seminal works of thinkers like Kierkegaard, Husserl, Heidegger, Merleau-Ponty and Foucault. This volume presents a selection of Dreyfus's most influential essays on mind and action. The book begins with a model of skillful engaged human action, which informs much of Dreyfus's philosophy, and was developed in collaboration with Stuart Dreyfus. The volume then presents articles developing a critique of the representational model of the mind in analytical philosophy of mind and mainstream cognitive science. Dreyfus argues that representational models of mind offer an impoverished and distorting account of human engagement with the world. The chapters show this by addressing issues in philosophy of mind and the cognitive sciences through the skill model.
Law, Human Agency and Autonomic Computing interrogates the legal implications of the notion and experience of human agency implied by the emerging paradigm of autonomic computing, and the socio-technical infrastructures it supports. The development of autonomic computing and ambient intelligence – self-governing systems – challenge traditional philosophical conceptions of human self-constitution and agency, with significant consequences for the theory and practice of constitutional self-government. Ideas of identity, subjectivity, agency, personhood, intentionality, and embodiment are all central to the functioning of modern legal systems. But once artificial entities become more autonomic, and less dependent on deliberate human intervention, criteria like agency, intentionality and self-determination, become too fragile to serve as defining criteria for human subjectivity, personality or identity, and for characterizing the processes through which individual citizens become moral and legal subjects. Are autonomic – yet artificial – systems shrinking the distance between (acting) subjects and (acted upon) objects? How ‘distinctively human’ will agency be in a world of autonomic computing? Or, alternatively, does autonomic computing merely disclose that we were never, in this sense, ‘human’ anyway? A dialogue between philosophers of technology and philosophers of law, this book addresses these questions, as it takes up the unprecedented opportunity that autonomic computing and ambient intelligence offer for a reassessment of the most basic concepts of law.
Almost all students have seen 2001, but virtually none understand its inheritance, its complexities, and certainly not its ironies. The essays in this collection, commissioned from a wide variety of scholars, examine in detail various possible readings of the film and its historical context. They also examine the film as a genre piece--as the summa of science fiction that simultaneously looks back on the science fiction conventions of the past (Kubrick began thinking of making a science fiction film during the genre's heyday in the fifties), rethinks the convention in light of the time of the film's creation, and in turn changes the look and meaning of the genre that it revived--which now remains as prominent as it was almost four decades ago. Constructed out of its director's particular intellectual curiosity, his visual style, and his particular notions of the place of human agency in the world and, in this case, the universe, 2001 is, like all of his films, more than it appears, and it keeps revealing more the more it is seen. Though their backgrounds and disciplines differ, the authors of this essay collection are united by a talent for vigorous yet incisive writing that cleaves closely to the text--to the film itself, with its contextual and intrinsic complexities--granting readers privileged access to Kubrick's formidable, intricate classic work of science fiction.
This volume constitutes the refereed proceedings of nine international workshops, EI2N+NSF ICE, ICSP, INBAST, ISDE, MONET, ORM, SeDeS, SWWS, and VADER 2011, held as part of OTM 2011 in Hersonissos on the island of Crete, Greece, in October 2011. The 64 revised full papers presented were carefully reviewed and selected from a total of 104 submissions. The volume also includes three papers from the On the Move Academy (OTMA) 2011 and five ODBASE 2011 poster papers. Topics of the workshop papers are enterprise integration and semantics, information centric engineering, interoperability, industrial and business applications of semantic Web applications, information systems in distributed environments, process management in distributed information system development, distributed information systems: implementation issues and applications, industrial applications of fact-oriented modeling, data warehouse modeling, extensions to fact-oriented modeling, model validation procedures, schema transformations and mapping, semantic Web and Web semantics, ontology development, deployment and interoperability, data access and efficient computation, efficient information processing, exchange and knowledge synthesis algorithms, mobile and networking technologies for social applications, semantic and decision support, variability in software architecture, and dynamic and adaptive architectures.