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  1. Socio-ethics of interaction with intelligent interactive technologies.Satinder P. Gill - 2008 - AI and Society 22 (3):283-300.
    Socio-ethics covers the relation of the individual with the group and with society, as the individual acquires the skills for social life with others and the conduct of ‘normal responsible behaviour’ (Leal in AI Soc 9:29–32, 1995) that guides moral action. For a consideration of what it means to be socially skilled in everyday human interaction and the ethical issues arising from the new conditions of interaction that come with the integration of intelligent interactive artefacts, we will provide an analysis (...)
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  • Ethics is fragile, goodness is not.Fernando Leal - 1995 - AI and Society 9 (1):29-42.
    This paper first illustrates what kind of ethical issues arise from the new information, communication and automation technology. It then argues that we may embrace the popular idea that technology is ethically neutral or even ambivalent without having to close our eyes to those issues and in fact, that the ethical neutrality of technology makes them all the more urgent. Finally, it suggests that the widely ignored fact of normal responsible behaviour offers a new and fruitful starting point for any (...)
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  • Perception as substitute trial and error.Donald T. Campbell - 1956 - Psychological Review 63 (5):330-342.
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  • Cosmology, religion, and society.J. W. Bowker - 1990 - Zygon 25 (1):7-23.
    . It is a mistake to assume that science and religion are competing accounts of the same subject matter, so that either science supersedes religion or religion anticipates science. Using the question of cosmic origins as an example, I argue that the basic task of religion is not the scientific one of establishing the most accurate acccunt of the origin of the universe. Rather, as illustrated from Jewish, Hindu, Chinese, and Buddhist thought, religion uses a variety of cosmologies to help (...)
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  • Foundations of biology: On the problem of “purpose” in biology in relation to our acceptance of the Darwinian theory of natural selection. [REVIEW]Paul S. Agutter & Denys N. Wheatley - 1999 - Foundations of Science 4 (1):3-23.
    For many years, biology was largely descriptive (natural history), but with its emergence as a scientific discipline in its own right, a reductionist approach began, which has failed to be matched by adequate understanding of function of cells, organisms and species as whole entities. Every effort was made to explain biological phenomena in physico-chemical terms.It is argued that there is and always has been a clear distinction between life sciences and physical sciences, explicit in the use of the word biology. (...)
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  • Diffusion Theory in Biology: A Relic of Mechanistic Materialism. [REVIEW]Paul S. Agutter, P. Colm Malone & Denys N. Wheatley - 2000 - Journal of the History of Biology 33 (1):71 - 111.
    Diffusion theory explains in physical terms how materials move through a medium, e.g. water or a biological fluid. There are strong and widely acknowledged grounds for doubting the applicability of this theory in biology, although it continues to be accepted almost uncritically and taught as a basis of both biology and medicine. Our principal aim is to explore how this situation arose and has been allowed to continue seemingly unchallenged for more than 150 years. The main shortcomings of diffusion theory (...)
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  • (2 other versions)Michael Polanyi: Can the Mind Be Represented by a Machine?Paul Richard Blum - 2010 - Existence and Anthropology.
    On the 27th of October, 1949, the Department of Philosophy at the University of Manchester organized a symposium "Mind and Machine", as Michael Polanyi noted in his Personal Knowledge (1974, p. 261). This event is known, especially among scholars of Alan Turing, but it is scarcely documented. Wolfe Mays (2000) reported about the debate, which he personally had attended, and paraphrased a mimeographed document that is preserved at the Manchester University archive. He forwarded a copy to Andrew Hodges and B. (...)
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  • The nature of the natural sciences.Leonard Kollender Nash - 1963 - Boston,: Little, Brown.
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  • Ecology — a mixture of pattern and probabilism.T. R. E. Southwood - 1980 - Synthese 43 (1):111 - 122.
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  • Emergence of Mind From Brain: The Biological Roots of the Hermeneutic Circle.Roland Fischer - 1987 - Diogenes 35 (138):1-25.
    Brain functions are stochastic processes without intentionality whereas mind emerges from brain functions as a Hegelian “change from quantity”, that is, on the order of 1012 profusely interconnected neurons, “into a new quality”: the collective phenomenon of the brain's self-experience. This self-referential and self-observing quality we have in mind is capable of (recursively) observing its self-observations, i.e., interpreting change that is meaningful in relation to itself. The notion of self-interpretation embodies the idea of a “hermeneutic circle”, that is, (in interpretation (...)
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