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Titlebook: Decision Economics. Designs, Models, and Techniquesfor Boundedly Rational Decisions; Edgardo Bucciarelli,Shu-Heng Chen,Juan Manuel Corc Co

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41#
發(fā)表于 2025-3-28 15:20:03 | 只看該作者
Optimal Noise Manipulation in Asymmetric Tournament,hat the observed performance of each agent is less or more dependent of ability and effort. We show that there exists an optimal noise level from the principal’s standpoint of expected profit maximization. It is shown that this optimal noise level is higher than what would induce the highest efforts
42#
發(fā)表于 2025-3-28 21:23:23 | 只看該作者
Decision-Making Process Underlying Travel Behavior and Its Incorporation in Applied Travel Models,s how different travel decision making paradigms led to different generations of applied travel models in practice – from aggregate models to disaggregate trip-base models, then to tour-based models, then to activity-based models, and finally to agent-based models. The paper shows how these differen
43#
發(fā)表于 2025-3-28 23:15:40 | 只看該作者
Formalisation of Situated Dependent-Type Theory with Underspecified Assessments, assessments. The language has terms for situated information, which is partial and underspecified. The enriched formal language provides integration of a situated dependent-type theory with statistical and other approaches to machine learning techniques.
44#
發(fā)表于 2025-3-29 06:20:57 | 只看該作者
45#
發(fā)表于 2025-3-29 08:14:43 | 只看該作者
46#
發(fā)表于 2025-3-29 11:49:31 | 只看該作者
47#
發(fā)表于 2025-3-29 15:36:20 | 只看該作者
48#
發(fā)表于 2025-3-29 20:44:59 | 只看該作者
The Mathematics of Interdependence for Superordinate Decision-Making with Teams,ce (additive and destructive social interference). The . of this review is first, to define and describe why interdependence is difficult to grasp intellectually, but much easier intuitively in social contexts (bistability, convergence to incompleteness, non-factorable social states); second, to des
49#
發(fā)表于 2025-3-30 01:05:26 | 只看該作者
,Towards a Natural Experiment Leveraging Big Data to Analyse and Predict Users’ Behavioural Patternsmption behaviour. The model has been structured to help organisations make decisions in order to improve the business knowledge and understanding on big data and, specifically, heterogeneous big data. The model accommodates a multilevel structure of data with a modular system that can be used both t
50#
發(fā)表于 2025-3-30 06:29:25 | 只看該作者
Google Trends and Cognitive Finance: Lessons Gained from the Taiwan Stock Market,ed Stock Index (TAIEX). In particular, we used the aggregate SVI searched by a company’s abbreviated name and by its ticker symbol to conduct our research. The results are very different. While the aggregate SVI of abbreviated names is significantly and positively correlated to the average returns o
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