By George Mengov
This ebook deals a brand new viewpoint on human decision-making by means of evaluating the tested tools in choice technology with cutting edge modelling on the point of neurons and neural interactions. The booklet provides a brand new iteration of laptop types, which may are expecting with dazzling accuracy person financial offerings while humans cause them to by way of fast instinct instead of via attempt. A imaginative and prescient for a brand new form of social technological know-how is printed, wherein neural versions of emotion and cognition catch the dynamics of socioeconomic platforms and digital social networks. The exposition is approachable through specialists in addition to by means of complex scholars. the writer is an affiliate Professor of determination technological know-how with a doctorate in Computational Neuroscience, and a former software program advisor to banks within the urban of London.
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Additional resources for Decision Science: A Human-Oriented Perspective
Senik, C. (2012). Will GDP growth increase happiness in developing countries? In Volume of the 8th AFD-EUDN Conference: Measure for Measure. How well do we measure development? (pp. 99–176). STIN, Paris. Easterlin, Richard A. (1974). Does economic growth improve the human lot? In Paul A. David & Melvin W. ), Nations and households in economic growth: Essays in honor of Moses Abramovitz. New York: Academic Press Inc. , McVey, Angelescu, McVey, Laura Angelescu, Switek, Malgorzata, Sawangfa, Onnicha, Zweig, Smith, & Jacqueline, (2010).
Naturally, the ﬁrst such models dealt with simple interactions like those of a neuron receiving signals from other neurons or sending signals to another set of neurons. Later, models that are more complicated emerged, dealing for example with the simplest neural conﬁguration capable of producing a primitive emotion. It turned out that a circuit of six neurons is enough to account for the balance of opposing emotions such as fear-relief, hunger-satiation etc. Along that road, a family of mathematical models emerged and described more sophisticated neural networks corresponding to more complex psychological phenomena like short- and long-term memory, pattern recognition, and eventually, complex cognitive-emotional interactions forming the fabric of observable behaviour.
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Decision Science: A Human-Oriented Perspective by George Mengov