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  1. Information, Intelligence and Idealism.Martin Korth - manuscript
    Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...)
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  2. Towards a scientifically tenable description of objective idealism.Martin Korth - manuscript
    [This manuscript is outdated; read chapter 5 and 6 of my book "Information, Intelligence and Idealism" instead, which is also available as full text on PhilPapers] The tremendous advances of research into artificial intelligence as well as neuroscience made over the last two to three decades have given further support to a renewed interest into philosophical discussions of the mind-body problem. Especially the last decade has seen a revival of panpsychist and idealist considerations, often focused on solving philosophical puzzles like (...)
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  3. Philosophy: The Game.Martin Korth - manuscript
    In academic philosophy, it is easy for students to lose track of how important questions in subfields are interrelated. Philosophy: The Game is an educational resource designed to remedy this by providing the opportunity to discuss ‘big questions’ while playing a card game. The question-answer pairs for the game are taken from the recent PhilPapers Survey[1], with some joker cards added to illustrate the impact that solutions to particular problems in the philosophy of mind might have on philosophy at large. (...)
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  4. How to construct consensus models to (maybe) make sense of the mind-body problem.Martin Korth - manuscript
    A recent article by Kuhn1 showcases the plethora of proposed solutions for the mind-body problem as it is understood in current ’consciousness science’. Perusing this article, philosophers will likely find it surprising to see the inclusion of for instance Indian idealism and Buddhist thought, but neither German, nor British or US idealists, which seems especially unbalanced when instead of them theories like Kastrup’s analytical idealism (Hegel for physicists?) or Hoffmann’s interface theory (Kant for psychologists?) are included. The listings of dualist, (...)
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  5. Two comments on Chalmers classification of idealism.Martin Korth - manuscript
    Interest in idealism has increased substantially since the publication of Sprigge’s Vindication of Absolute Idealism in 1984,1 and again with more vigor over the last decade in the context of the mind-body problem and panpsychism. This will probably not come as a surprise to objective idealists, among which Vittorio Hosle has proposed that philosophy cycles through stages with some form of idealism as end point of each cycle.2 More recently, David Chalmers mused about a corresponding development in the worldview of (...)
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  6. A new interpretation of quantum theory, based on a bundle-theoretic view of objective idealism.Martin Korth - manuscript
    [This manuscript is outdated; read chapter 6 of my book "Information, Intelligence and Idealism" instead, which is also available as full text on PhilPapers] After about a century since the first attempts by Bohr, the interpretation of quantum theory is still a field with many open questions.1 In this article a new interpretation of quantum theory is suggested, motivated by philosophical considerations. Based on the findings that the ’weirdness’ of quantum theory can be understood to derive from a vanishing distinguishability (...)
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  7. The purpose of qualia: What if human thinking is not (only) information processing?Martin Korth - manuscript
    [This manuscript is outdated; read chapter 7 of my book "Information, Intelligence and Idealism" instead, which is also available as full text on PhilPapers] Despite recent breakthroughs in the field of artificial intelligence (AI) – or more specifically machine learning (ML) algorithms for object recognition and natural language processing – it seems to be the majority view that current AI approaches are still no real match for natural intelligence (NI). More importantly, philosophers have collected a long catalogue of features which (...)
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