Since the Nuremberg Code and the first Declaration of Helsinki, globally there has been increasing adoption and adherence to procedures for ensuring that human subjects in research are as well informed as possible of the study’s reasons and risks and voluntarily consent to serving as subject. To do otherwise is essentially viewed as violation of the human research subject’s legal and moral rights. However, with the recent philosophical concerns about responsible robotics, the limits and ambiguities of research-subjects ethical codes become (...) apparent on the matter of constructing automata that maximally resemble human beings (as defined hereunder). In this case, the automata themselves, as products of research and development, are in the very process of their construction subjects of research and development. However, such research faces a paradox: The subjects cannot give their informed consent to this research for their own development, although their consent would be needed for the research. According to ethical codes, this research would be unethical. The article then explores whether the background concepts giving rise to this paradox could be reframed in order to allow such research to proceed ethically. (shrink)

Jerry Fodor argues that Darwin was wrong about "natural selection" because (1) it is only a tautology rather than a scientific law that can support counterfactuals ("If X had happened, Y would have happened") and because (2) only minds can select. Hence Darwin's analogy with "artificial selection" by animal breeders was misleading and evolutionary explanation is nothing but post-hoc historical narrative. I argue that Darwin was right on all counts. Until Darwin's "tautology," it had been believed that either (a) God (...) had created all organisms as they are, or (b) organisms had always been as they are. Darwin revealed instead that (c) organisms have heritable traits that evolved across time through random variation, with survival and reproduction in (changing) environments determining (mindlessly) which variants were successfully transmitted to the next generation. This not only provided the (true) alternative (c), but also the methodology for investigating which traits had been adaptive, how and why; it also led to the discovery of the genetic mechanism of the encoding, variation and evolution of heritable traits. Fodor also draws erroneous conclusions from the analogy between Darwinian evolution and Skinnerian reinforcement learning. Fodor’s skepticism about both evolution and learning may be motivated by an overgeneralization of Chomsky’s “poverty of the stimulus argument” -- from the origin of Universal Grammar (UG) to the origin of the “concepts” underlying word meaning, which, Fodor thinks, must be “endogenous,” rather than evolved or learned. (shrink)

Machery suggests that the concept of is too heterogeneous to serve as a for scientific explanation, so cognitive science should do without concepts. I second the suggestion and propose substituting, in place of concepts, inborn and acquired sensorimotor category-detectors and category-names combined into propositions that define and describe further categories.