sNets: A First Generation Model Engineering Platform

Author(s):  
Jean Bézivin
2017 ◽  
Vol 23 (5) ◽  
pp. 1815-1837 ◽  
Author(s):  
Henning Bohn ◽  
Armando R. Lopez-Velasco

First generation immigrants to the United States have higher fertility rates than natives. This paper analyzes to what extent this factor provides political support for immigration, using an overlapping generation model with production and capital accumulation. In this setting, immigration represents a dynamic trade-off for native workers as more immigrants decrease current wages but increase the future return on their savings. We find that immigrant fertility has surprisingly strong effects on voter incentives, especially when there is persistence in the political process. If fertility rates are sufficiently high, native workers support immigration. Persistence, either due to inertia induced by frictions in the legal system or through expectational linkages, significantly magnifies the effects. Entry of immigrants with high fertility has redistributive impacts across generations similar to pay-as-you-go social security: initial generations are net winners, whereas later generations are net losers.


Author(s):  
Manmohan Agarwal ◽  
Vandana T. R.

A number of developing countries mainly in Latin America and East Asia suffered exchange rate crises in the 1990s. India also suffered a crisis in 1991 and another earlier in 1966. We examine the run up to the crises in terms of a few macroindicators suggested by various crisis models. We then examine the aftermath of the crisis, which is largely absent in literature. We seek to explain the pre-crisis and post-crisis situations in the light of various crisis models. We find that crises in East Asia cannot be explained in terms of Krugman’s first-generation model (FGM), but those in the other countries can be explained by Krugman’s model, adding to the debates among crises models. JEL Classification: E420, F310, F320, F410


1993 ◽  
Vol 4 (5) ◽  
pp. 299-304 ◽  
Author(s):  
Mark S. Seidenberg

Word recognition plays an essential role in learning to read, skilled reading, and dyslexia. The goal of the research I describe is to develop a theory of word recognition that is realized as a connectionist simulation model. Experience with a first-generation model suggests that the approach can reveal general principles underlying word recognition and its impairments. Although computational modeling introduces new problems of method and interpretation, it contributes in an essential way to understanding reading and other aspects of cognition.


1987 ◽  
Vol 112 ◽  
Author(s):  
E. Mouche ◽  
Vernaz E.

AbstractExperiments have been performed on the aqueous dissolution of French LWR solution reference glass that have identified key dissolution mechanisms to be considered in modeling. The physical hypotheses on which the model relies are a dissolution rate governed by the silica concentration in solution according to a first order kinetic law, congruent release of the mobile elements at the gel-glass interface, and diffusion of silicic acid in the gel interstitial solution. A comparison of theoretical results obtained by a semi-analytical solution to the model and experimental results suggests some modifications to develop a more advanced model.


2008 ◽  
Vol 1 (4) ◽  
pp. 454-467 ◽  
Author(s):  
Kurt Kraiger

In this paper, I suggest that our methods for how to train are based historically on what we understand learning to be. I briefly trace the history of instructional design models, which embody both first-generation objectivist and second-generation cognitive constructivist views of learning. I then suggest we are on the cusp of a third-generation instructional model, one that places greater emphasis on the learner forming understanding largely through a process of social negotiation, either in training or on the job. I argue that Web-based instruction offers a technology ideally suited to the social constructivist approach at the core of this third-generation model. I discuss the importance of interaction in learning and suggest why Web-based networked learning may result in more, not less, interaction during training. Finally, I discuss other applications of third-generation learning such as peer mentoring and professional forums.


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