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10.1098/rsta.2015.0245 http://scihub22266oqcxt.onion/10.1098/rsta.2015.0245 C4843641!4843641!27091160     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Philos+Trans+A+Math+Phys+Eng+Sci 2016 ; 374 (2068): ä Nephropedia Template TP {{tp|p=27091160|t=2016. Quantum Bayesianism as the basis of general theory of decision-making |pdf=|usr=}}{{27091160}} gab.com Text Quantum Bayesianism as the basis of general theory of decision-making JO: Philos Trans A Math Phys Eng Sci http://www.kidney.de/pget.php?&tw=1&pmid=27091160 #FOAvip We discuss the subjective probability interpretation of the quantum-like approach to decision making and more generally to cognition. Our aim is to adopt the subjective probability interpretation of quantum mechanics, quantum Bayesianism (QBism), to serve quantum-like modelling and applications of quantum probability outside of physics. We analyse the classical and quantum probabilistic schemes of probability update, learning and decision-making and emphasize the role of Jeffrey conditioning and its quantum generalizations. Classically, this type of conditioning and corresponding probability update is based on the formula of total probability?one the basic laws of classical probability theory. Twit Text FOAVip Quantum Bayesianism as the basis of general theory of decision-making ????Philos Trans A Math Phys Eng Sci http://www.kidney.de/pget.php?&tw=1&pmid=27091160 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27091160 #FOAvip English Wikipedia <ref>{{Cite pmid|27091160}}</ref> Quantum Bayesianism as the basis of general theory of decision-making #MMPMID27091160 Khrennikov A Philos Trans A Math Phys Eng Sci 2016[May]; 374 (2068): ä PMID27091160show ga We discuss the subjective probability interpretation of the quantum-like approach to decision making and more generally to cognition. Our aim is to adopt the subjective probability interpretation of quantum mechanics, quantum Bayesianism (QBism), to serve quantum-like modelling and applications of quantum probability outside of physics. We analyse the classical and quantum probabilistic schemes of probability update, learning and decision-making and emphasize the role of Jeffrey conditioning and its quantum generalizations. Classically, this type of conditioning and corresponding probability update is based on the formula of total probability?one the basic laws of classical probability theory. äQuantum Bayesianism as the basis of general theory of decision-making (epmc).pdf DeepDyve Pubget Overpricing