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  1. Edoardo Datteri (2013). Predicting the Long-Term Effects of Human-Robot Interaction: A Reflection on Responsibility in Medical Robotics. [REVIEW] Science and Engineering Ethics 19 (1):139-160.
    This article addresses prospective and retrospective responsibility issues connected with medical robotics. It will be suggested that extant conceptual and legal frameworks are sufficient to address and properly settle most retrospective responsibility problems arising in connection with injuries caused by robot behaviours (which will be exemplified here by reference to harms occurred in surgical interventions supported by the Da Vinci robot, reported in the scientific literature and in the press). In addition, it will be pointed out that many prospective responsibility (...)
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  2. Edoardo Datteri & Federico Laudisa (2012). Model Testing, Prediction and Experimental Protocols in Neuroscience: A Case Study. Studies in History and Philosophy of Science Part C 43 (3):602-610.
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  3. Edoardo Datteri (2009). Simulation Experiments in Bionics: A Regulative Methodological Perspective. Biology and Philosophy 24 (3):301-324.
    Bionic technologies connecting biological nervous systems to computer or robotic devices for therapeutic purposes have been recently claimed to provide novel experimental tools for the investigation of biological mechanisms. This claim is examined here by means of a methodological analysis of bionics-supported experimental inquiries on adaptive sensory-motor behaviours. Two broad classes of bionic systems (regarded here as hybrid simulations of the target biological system) are identified, which differ from each other according to whether a component of the biological target system (...)
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  4. Pericle Salvini, Edoardo Datteri, Cecilia Laschi & Paolo Dario (2008). Scientific Models and Ethical Issues in Hybrid Bionic Systems Research. AI and Society 22 (3):431-448.
    Research on hybrid bionic systems (HBSs) is still in its infancy but promising results have already been achieved in laboratories. Experiments on humans and animals show that artificial devices can be controlled by neural signals. These results suggest that HBS technologies can be employed to restore sensorimotor functionalities in disabled and elderly people. At the same time, HBS research raises ethical concerns related to possible exogenous and endogenous limitations to human autonomy and freedom. The analysis of these concerns requires reflecting (...)
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  5. Giuseppe Trautteur, Edoardo Datteri & Matteo Santoro (2008). Empirically Testable Models Are Needed for Understanding Visual Prediction. Behavioral and Brain Sciences 31 (2):217-218.
    Nijhawan argues convincingly that predictive mechanisms are pervasive in the central nervous system (CNS). However, scientific understanding of visual prediction requires one to formulate empirically testable neurophysiological models. The author's suggestions in this direction are to be evaluated on the basis of more realistic experimental methodologies and more plausible assumptions on the hierarchical character of the human visual cortex.
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  6. Edoardo Datteri & Guglielmo Tamburrini (2007). Biorobotic Experiments for the Discovery of Biological Mechanisms. Philosophy of Science 74 (3):409-430.
    Robots are being extensively used for the purpose of discovering and testing empirical hypotheses about biological sensorimotor mechanisms. We examine here methodological problems that have to be addressed in order to design and perform “good” experiments with these machine models. These problems notably concern the mapping of biological mechanism descriptions into robotic mechanism descriptions; the distinction between theoretically unconstrained “implementation details” and robotic features that carry a modeling weight; the role of preliminary calibration experiments; the monitoring of experimental environments for (...)
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  7. Edoardo Datteri, Hykel Hosni & Guglielmo Tamburrini (2005). Machine Learning From Examples: A Non-Inductivist Analysis. Logic and Philosophy of Science 3 (1):1-31.
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  8. Guglielmo Tamburrini & Edoardo Datteri (2005). Machine Experiments and Theoretical Modelling: From Cybernetic Methodology to Neuro-Robotics. [REVIEW] Minds and Machines 15 (3-4):335-358.
    Cybernetics promoted machine-supported investigations of adaptive sensorimotor behaviours observed in biological systems. This methodological approach receives renewed attention in contemporary robotics, cognitive ethology, and the cognitive neurosciences. Its distinctive features concern machine experiments, and their role in testing behavioural models and explanations flowing from them. Cybernetic explanations of behavioural events, regularities, and capacities rely on multiply realizable mechanism schemata, and strike a sensible balance between causal and unifying constraints. The multiple realizability of cybernetic mechanism schemata paves the way to principled (...)
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