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  1. Why animals are not robots.Theresa S. S. Schilhab - 2015 - Phenomenology and the Cognitive Sciences 14 (3):599-611.
    In disciplines traditionally studying expertise such as sociology, philosophy, and pedagogy, discussions of demarcation criteria typically centre on how and why human expertise differs from the expertise of artificial expert systems. Therefore, the demarcation criteria has been drawn between robots as formalized logical architectures and humans as creative, social subjects, creating a bipartite division that leaves out animals. However, by downsizing the discussion of animal cognition and implicitly intuiting assimilation of living organisms to robots, key features to explain why human (...)
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  • Origins of the Qualitative Aspects of Consciousness: Evolutionary Answers to Chalmers' Hard Problem.Jonathan Y. Tsou - 2012 - In Liz Stillwaggon Swan (ed.), Origins of mind. New York: Springer. pp. 259--269.
    According to David Chalmers, the hard problem of consciousness consists of explaining how and why qualitative experience arises from physical states. Moreover, Chalmers argues that materialist and reductive explanations of mentality are incapable of addressing the hard problem. In this chapter, I suggest that Chalmers’ hard problem can be usefully distinguished into a ‘how question’ and ‘why question,’ and I argue that evolutionary biology has the resources to address the question of why qualitative experience arises from brain states. From this (...)
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  • Do androids dream of informed consent? The need to understand the ethical implications of experimentation on simulated beings.Alexander Gariti - 2024 - Monash Bioethics Review 42 (2):260-278.
    Creating simulations of the world can be a valuable way to test new ideas, predict the future, and broaden our understanding of a given topic. Presumably, the more similar the simulation is to the real world, the more transferable the knowledge generated in the simulation will be and, therefore, the more useful. As such, there is an incentive to create more advanced and representative simulations of the real world. Simultaneously, there are ethical and practical limitation to what can be done (...)
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  • The cognitive development of machine consciousness implementations.Raúl Arrabales, Agapito Ledezma & Araceli Sanchis - 2010 - International Journal of Machine Consciousness 2 (2):213-225.
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  • Strategies for measuring machine consciousness.Raúl Arrabales, Agapito Ledezma & Araceli Sanchis - 2009 - International Journal of Machine Consciousness 1 (2):193-201.
    The accurate measurement of the level of consciousness of a creature remains a major scientific challenge, nevertheless a number of new accounts that attempt to address this problem have been proposed recently. In this paper we analyze the principles of these new measures of consciousness along with other classical approaches focusing on their applicability to Machine Consciousness (MC). Furthermore, we propose a set of requirements of what we think a suitable measure for MC should be, discussing the associated theoretical and (...)
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