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Showing posts with the label prediction

Growing Autonomy (1)

This cross-disciplinary symposium on the nature and implications of human and artificial autonomy was organised by Anastasia Christakou and held at the Henley Business School at the University of Reading on 8th May 2019. Josh Bongard (University of Vermont) opened the workshop presenting his research in robotics, where he and his team challenge the Cartesian assumption that body and brain are separate by simulating first, and creating then robots that have body plans adapting to changes in morphology. Bongard also addressed important questions about AI safety and AI ethics. Based on a recent publication on Machine Behaviour in Nature , he argued that we should treat machine behaviour in the same way as we treat animal behaviour, as something that evolves. Next Emma Borg (University of Reading) presented a paper on understanding agency in other people and in ourselves. She started comparing two accounts of how we explain and predict the agency of others, behaviour-re...

Reasons, Rationality, and Intentional Agency

Christian List  organised a two-day workshop on Reasons, Rationality, and Intentional Agency in the Lakatos Building (picture above) at the LSE on 29th and 30th September 2017. I was lucky enough to attend three talks on the 29th, and here is a brief report. The event was funded by the Leverhulme via a  Leverhulme Major Research Fellowship  awarded to List. Kate Vredenburgh from Harvard (picture above) opened the workshop with a paper entitled “Rational Choice Explanation”. She started with the observation that choice-frameworks have been criticised a lot recently. Especially, the revealed preferences approach, according to which statements about preferences are summaries of choice behaviour, has been criticised on the basis that it cannot provide causal explanations and action explanations. Vredenburgh's main thesis was that, if revealed preferences theorists adopt a unificationist theory of explanation, then they can avoid some of the problems. Reveale...

A Moral Account of First-person Authority

This post is by  Fleur Jongepier  (picture below). Starting Autumn 2017 she will be based in Cambridge (UK), working on the role and value of self-knowledge in contemporary liberalism. In the previous blogpost , I introduced some examples that I suggested provide a challenge to what I referred to as the ‘traditional’ approach to the notion of first-person authority, namely, the view according to which first-person authority and self-knowledge always come and go together. I ended the post by mentioning the following three views about the relation between first-person authority and self-knowledge: The Decoupling View. They have first-person authority despite not having self-knowledge. The Negative Traditional ViewThey do not have self-knowledge, therefore do not have first-person authority. The Positive Traditional View. They have self-knowledge and therefore have first-person authority. One reason for thinking the second, Negative Traditional view (‘no self-knowled...

Surfing Uncertainty

In this post, Andy Clark , Professor of Logic and Metaphysics at the University of Edinburgh, introduces his new book: Surfing Uncertainty: Prediction, Action, and the Embodied Mind . Sometimes, we are most forcibly struck by what isn’t there. If I play you a series of regularly spaced tones, then omit a tone, your perceptual world takes on a deeply puzzling shape. It is a world marked by an absence – and not just any old absence. What you experience is a very specific absence: the absence of that very tone, at that very moment. What kind of neural and (more generally) mental machinery makes this possible? There is an answer that has emerged many times during the history of the sciences of the mind. That answer, appearing recently in what is arguably its most comprehensive and persuasive form to date, depicts brains as prediction machines – complex multi-level systems forever trying pre-emptively to guess at the flow of information washing across their many sensory sur...