In this note I pay tribute to two early works by Barbara Bergmann and Gunnar Eliasson which, though firmly grounded in the dynamic microsimulation literature, can be considered as the first examples of large-scale agent-based models. These attempts at building complete micro-to-macro computational models of the economy are important not only in a history of economic thought perspective, but als...

in this paper, the notion of n, pn - summability to generalize the concept of statisticalconvergence is used. we call this new method weighted statistically convergence. we also establish itsrelationship with statistical convergence, c,1-summability and strong   n n, p -summability.

We consider congestion pricing as a mechanism for sharing bandwidth in communication networks, and model the interaction among the users as a game. We propose a decentralized algorithm for the users that is based on the history of the price process, where user response to congestion prices is analogous to “fictitious play” in game theory, and show that this results in convergence to the unique ...

In this paper, we use tax and household survey data to assess the history of income distribution in Argentina since the beginning of the 20th century. Until the 1970s, the country experienced a fall in inequality in spite of lower income growth. Since then, inequality has generally increased possibly as a result of largescale shocks such as macroeconomic crises and reform attempts, resulting in...

We reviewed 23 patients who had had 25 Darrach procedures for traumatic or post-traumatic disorders of the wrist at a mean follow-up of 75.5 months (36 to 121). The mean age at the time of operation was 61.1 years (34 to 82). All patients were reviewed in person. Assessment included a history, a questionnaire on patient satisfaction and a detailed physical examination. Standardised radiographs ...

Material efficiency is not a panacea, but it lies at the intersection of many problems of global sustainability. Reducing the usage of a single material in a value chain may require ingenuity and wide cooperation, but conceptually it is not a problem. When the problem stretches to several resources in changing circumstances, we have to understand the linkages between resources and the power, an...

Nonparametric estimation for dependent observations has a long history in statistics. Rosenblatt [42] first studied density estimation for dependent data. Since then several authors have considered nonparametric estimation under various assumptions (notable early articles include Robinson [39] and Hart [29]). For example, Hall and Hart [25], Giraitis et al. [22], Mielniczuk [34] and Estevas and...

We consider off-policy temporal-difference (TD) learning methods for policy evaluation in Markov decision processes with finite spaces and discounted reward criteria, and we present a collection of convergence results for several gradient-based TD algorithms with linear function approximation. The algorithms we analyze include: (i) two basic forms of two-time-scale gradient-based TD algorithms,...