scholarly journals The issue of immigrants in Italy: a rational model of immigration management by Italian municipalities

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Marco Baudino
Keyword(s):  
Rational Model ◽  
Immigration Management

THE ROLE OF EBM AND CLINICAL PRACTICE GUIDELINES IN GENERATING RESEARCH AND INTERVENTIONS IN NEGLECTED TROPICAL DISEASES: A RATIONAL MODEL FOR DEVELOPING COUNTRIES

2020 ◽  
Author(s):  
Cristhian David Morales-Plaza
Keyword(s):  
Developing Countries ◽  
Clinical Practice ◽  
Clinical Practice Guidelines ◽  
Practice Guidelines ◽  
Neglected Tropical Diseases ◽  
Tropical Diseases ◽  
Rational Model ◽  
Clinical Practices ◽  
Vulnerable Communities

Guarantee better clinical practices among clinicians who attend NTDs in developing countries as well as provide education in vector control in hotspot vulnerable communities

scholarly journals Uncertainty and Denial: A Resource-Rational Model of the Value of Information

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e113342 ◽  
Author(s):  
Emma Pierson ◽  
Noah Goodman
Keyword(s):  
Value Of Information ◽  
Rational Model

scholarly journals Technological Entrepreneurship: How does Environmental Turbulence Impact upon Collaboration Risk?

2018 ◽  
Vol 10 (8) ◽  
pp. 2762 ◽  
Author(s):  
Iwona Staniec
Keyword(s):  
Environmental Turbulence ◽  
Rational Model ◽  
Review Of The Literature ◽  
Technology Entrepreneurship ◽  
Detailed Review ◽  
Interview Technique ◽  
Risk Management Process ◽  
Technological Entrepreneurship ◽  
The Impact ◽  
The Relationship

The aim of this paper is to identify the impact of environmental turbulence on the risk of cooperation in technological entrepreneurship. Multidimensional factors such as the risk of cooperation, environmental turbulence, and the reaction to operationalized changes were selected during the literature review, and were subjected to empirical verification on a 304 element sample of SMEs, which are implementing technology entrepreneurship. The study used a questionnaire interview technique conducted directly in the company, and the research tool was a specially prepared questionnaire. Because of the multidimensional character of the studied variables, structural modelling was chosen. In addition, the influence of selected mediators and moderators on the relationship between the turbulence of the environment and the risk of cooperation in technological entrepreneurship was examined. The article has been divided into five main sections. The first section constitutes the introduction to the deliberations. A detailed review of the literature, taking into account the principles of operationalization of each of the presented variables, is discussed in the second section. The methodology used is then presented. In the next section of the paper, the results of the research are presented and then a broad discussion of these results is undertaken. The last section is a summary of the conducted research and its limitations. Knowledge about the antecedents of cooperation risk allows for the minimization of the presence of adverse phenomena, while knowledge of the directions of their impact greatly enriches the experience in the management of this type of relationship. The presented research may contribute to the construction of a rational model of the cooperation risk management process, in particular, in the case of adopting resources existing within the organization.

scholarly journals Strategy selection as rational metareasoning

2016 ◽  
Author(s):  
Falk Lieder ◽  
Tom Griffiths
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cost Benefit ◽  
Human Reasoning ◽  
Strategy Selection ◽  
Heuristics And Biases ◽  
Rational Model ◽  
The Mind ◽  
Over Time ◽  
Human Rationality

Many contemporary accounts of human reasoning assume that the mind is equipped with multiple heuristics that could be deployed to perform a given task. This raises the question how the mind determines when to use which heuristic. To answer this question, we developed a rational model of strategy selection, based on the theory of rational metareasoning developed in the artificial intelligence literature. According to our model people learn to efficiently choose the strategy with the best cost-benefit tradeoff by learning a predictive model of each strategy’s performance. We found that our model can provide a unifying explanation for classic findings from domains ranging from decision-making to problem-solving and arithmetic by capturing the variability of people’s strategy choices, their dependence on task and context, and their development over time. Systematic model comparisons supported our theory, and four new experiments confirmed its distinctive predictions. Our findings suggest that people gradually learn to make increasingly more rational use of fallible heuristics. This perspective reconciles the two poles of the debate about human rationality by integrating heuristics and biases with learning and rationality.

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