Why do lawyers in some jurisdictions continue to ‘automatically’ exclude the 1980 UN Convention on Contracts for the International Sale of Goods (CISG) in their choices of law for international sales contracts? Why do lawyers in other jurisdictions approach the decision very differently? Why...

The evolution of boundedly rational rules for playing normal form games is studied within stationary environments of stochastically changing games. Rules are viewed as algorithms prescribing strategies for the different normal form games that arise. It is shown that many of the folk results of...

A well known problem in economics is to describe properly a situation where N agents are repeatedly competing to use the same limited resource. A version of this problem is known in the literature as the El Farol game: week after week N agents face the decision whether to go or not to go to a...

The theory of learning in games explores how, which, and what kind of equilibria might arise as a consequence of a long-run nonequilibrium process of learning, adaptation, and/or imitation. If agents’ strategies are completely observed at the end of each round (and agents are randomly matched...

Abstract. A system that allows you to easily regulate the cryptocurrency market and influence it thanks to the classification given by their scalability. The opportunity to be included in a different table will push programmers to adapt to the legislation. It will no longer be the right to have...

We propose a stochastic learning rule through an Agent-based Model (ABM) to understand how emerging market economies (EMEs) can achieve high levels of investment, given the announced inflation target rate. The central banks act as a pseudo-player, choosing between the pursued target inflation...

This paper presents a dynamic model in which agents adjust their decisions in the direction of higher payoffs, subject to random error. This process produces a probability distribution of players' decisions whose evolution over time is determined by the Fokker-Planck equation. The dynamic...

To isolate the impact of the assumption of model-consistent expectations, this paper proposes a baseline case in which households are individually rational, have full information and learn using forecast rules specified as in the minimum state variable representation of the economy. Applying...

We develop a learning rule that generalises the well known fading memory learning in the sense that the weights attached to the available time series data are not constant and are updated in light of the prediction error(s). The underlying idea is that confidence in the available data will be...