Titlebook: Decision Economics: Minds, Machines, and their Society; Edgardo Bucciarelli,Shu-Heng Chen,Javier Parra D. Conference proceedings 2021 The

细胞

Stronger Security for Sanitizable Signaturesects of the intervention on subjects’ decision-making and their approaches to collect information from market research. We aim to measure the NLUI effects on dual managerial outcome, namely, the ability to make predictions and categorise. We find that the business intervention positively affects sub

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混沌

1860-949X ntly delivers new approaches on how to contribute to the future of economics, providing alternative explanations for various socio-economic issues such as computable humanities; cognitive, behavioural, and expe978-3-030-75583-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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molest

Beyond the Turing Test: A Formalisation of a Decisional Turing Machinecisional Turing Machine within Herbert Simon’s bounded rationality and satisficing decision theoretical framework. Specifically, it implements the . in static and dynamic ways. The present research has the purpose of being a potential preliminary step towards the creation of a future investigation t

nerve-sparing

Challenges in the Study of Intelligent Machines and Reverse Turing Test on Socio-Economic Decisionscapability to think, being endowed with artificial intelligence. As pointed out in recent works, however, the test is only a necessary but not a sufficient condition for the purpose for which it was intended. In addressing this issue, we propose an approach between the conceptual and empirical persp

诽谤

The ‘Limits of Pure Reason’ in Decision-Making: Dupré’s and Damasio’s Basic Theses social sciences. Above all, in economics, it has become the dominant paradigm, attracting various criticisms. In particular, we will address two authors, John Dupré, philosopher of science, and Antonio Damasio, neuroscientist. Albeit from different perspectives, both scholars question the assumptio

大约冬季

FILLY

A Second-Order Adaptive Cognitive and Affective Utility Based Computational Model for Decision MakinThe model uses the main recent advances in cognitive and affective neuroscience, picoeconomics and expectancy theory. It responds to two main challenges that are hindering the study of decision making: (a) lack of formal dynamic computational models, and (b) discipline-bound theories. Simulations of

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