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Machines and consciousness

In Christopher Hookway (ed.), Minds, Machines And Evolution. Cambridge: Cambridge University Press (1984)

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  1. "Consciousness". Selected Bibliography 1970 - 2004.Thomas Metzinger - unknown
    This is a bibliography of books and articles on consciousness in philosophy, cognitive science, and neuroscience over the last 30 years. There are three main sections, devoted to monographs, edited collections of papers, and articles. The first two of these sections are each divided into three subsections containing books in each of the main areas of research. The third section is divided into 12 subsections, with 10 subject headings for philosophical articles along with two additional subsections for articles in cognitive (...)
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  • Form and content in semantics.Y. Wilks - 1990 - Synthese 82 (3):329-51.
    This paper continues a strain of intellectual complaint against the presumptions of certain kinds of formal semantics (the qualification is important) and their bad effects on those areas of artificial intelligence concerned with machine understanding of human language. After some discussion of the use of the term epistemology in artificial intelligence, the paper takes as a case study the various positions held by McDermott on these issues and concludes, reluctantly, that, although he has reversed himself on the issue, there was (...)
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  • Computer processes and virtual persons: Comments on Cole's "artificial intelligence and personal identity".William J. Rapaport - 1990
    This is a draft of the written version of comments on a paper by David Cole, presented orally at the American Philosophical Association Central Division meeting in New Orleans, 27 April 1990. Following the written comments are 2 appendices: One contains a letter to Cole updating these comments. The other is the handout from the oral presentation.
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  • Moral Orthoses: A New Approach to Human and Machine Ethics.Marius Dorobantu & Yorick Wilks - 2019 - Zygon 54 (4):1004-1021.
    Machines are increasingly involved in decisions with ethical implications, which require ethical explanations. Current machine learning algorithms are ethically inscrutable, but not in a way very different from human behavior. This article looks at the role of rationality and reasoning in traditional ethical thought and in artificial intelligence, emphasizing the need for some explainability of actions. It then explores Neil Lawrence's embodiment factor as an insightful way of looking at the differences between human and machine intelligence, connecting it to the (...)
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