Results for 'Minsky'

4 found
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  1. Understanding Financial Instability: Minsky Versus the Austrians.Ludwig Van Den Hauwe - 2016 - Journal des Economistes Et des Etudes Humaines 22 (1):25-60.
    Although Minsky’s interpretation of Keynes’s macroeconomics and essential message clashes with authoritative alternative interpretations, it has become increasingly influential during the years following the Global Financial Crisis, even in mainstream circles. This paper offers a critical evaluation of Minsky’s Financial Instability Hypothesis from the perspective of the alternative Austro-Wicksellian paradigm. Although some of the similarities and/or analogies between Minsky’s approach and that of the Austrian School suggest a more than merely superficial affinity between the two theoretical frameworks (...)
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  2. Review of The Emotion Machine by Marvin Minsky (2007).Michael Starks - 2016 - In Suicidal Utopian Delusions in the 21st Century: Philosophy, Human Nature and the Collapse of Civilization-- Articles and Reviews 2006-2017 2nd Edition Feb 2018. Las Vegas, USA: Reality Press. pp. 627.
    Dullest book by a major scientist I have ever read. I suppose if you know almost nothing about cognition or AI research you might find this book useful. For anyone else it is a horrific bore. There are hundreds of books in cog sci, robotics, AI, evolutionary psychology and philosophy offering far more info and insight on cognition than this one. Minsky is a top rate senior scientist but it barely shows here. He has alot of good references but (...)
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  3. Philosophy of Modeling: Neglected Pages of History.Karlis Podnieks - 2018 - Baltic Journal of Modern Computing 6 (3):279–303.
    The work done in the philosophy of modeling by Vaihinger (1876), Craik (1943), Rosenblueth and Wiener (1945), Apostel (1960), Minsky (1965), Klaus (1966) and Stachowiak (1973) is still almost completely neglected in the mainstream literature. However, this work seems to contain original ideas worth to be discussed. For example, the idea that diverse functions of models can be better structured as follows: in fact, models perform only a single function – they are replacing their target systems, but for different (...)
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  4. Examining the Intelligence in Artificial Intelligence.David Cycleback - 2020 - Center for Artifact Studies.
    The following looks at several problems and questions concerning our understanding of the word ‘intelligence’ and the phrase ‘artificial intelligence’ (AI), including: how to define these terms; whether intelligence can exist in AI; if artificial intelligence in AI is identifiable; and what (if any) kind of intelligence is important to AI.
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