From its early days, the World Wide Web space has demonstrated strong agglomeration trends with a very small number of web sites capturing the larger part of the Internet population. At a first glance, agglomeration over the virtual space sounds as a paradox. Web sites are numerous and highly...

Buyers' search behaviors on electronic markets are characterized by two distinctive features: i) diminishing search costs and ii) the use of informational intermediaries such as price comparison agents (shopbots). We build a simple agent-based model that captures these two features, and we use...

In the last years, many contributions have been exploring population learning in economies where myopic agents play bilateral games and are allowed to repeatedly choose their pure strategies in the game and, possibly, their opponents in the game. These models explore bilateral stage-games...

The analysis of many complex problems and complex dynamic systems suggests that there are dependencies between high complexity and properties of the underlying structures, as the existence of large grids, non-regularities and inhomogeneous structures and irregular flows of information. These...

The lack of euro area labour market flexibility is a commonly mentioned issue. In particular, the relatively weak response of wages to high unemployment can pose adjustment problems. We address the issue using extensive simulations of an estimated macro-econometric model for the euro area (the...

Schelling [1969, 1971a, 1971b, 1978] presented a microeconomic model showing how an integrated city could unravel to a rather segregated city, notwithstanding relatively mild assumptions concerning the individual agents' preferences, i.e., no agent preferring the resulting segregation. We...

This paper deals with artificial agents buying and selling products in a virtual market of goods that may be substituted for each other. On the demand side the market features a homogenous group of agents whose dynamics are determined by three different scenarios. The supply side, on the other...

We explore the evolution of the structure and performance of a social network in a population of individuals who search for local optima in diverse and dynamic task environments. Individuals choose whether to innovate or imitate and, in the latter case, from whom to learn. The probabilities of...

Investment decision-making is modeled by means of a Kohonen neural net, whose neurons represent firms as decision-makers. Thus, the network reconstructs collective decision-making by the productive system. This model focuses on the decision to invest in novel fields of activity, which requires...

This work focuses on a method to characterize stochastic processes by way of their scaling function tau(·). The kernel idea is that, notwithstanding the properties of the stochastic generating process of raw data, a minimum set of conditions is required to provide empirical estimation of the...