The approximation of nonlinear mappings by means of a smooth cooperation (by Gaussian mixture) of several linear experts has become a very popular approach in the connectionist, fuzzy and statistical communities. Two simultaneous types of tuning are required: one concerns the number of the local models whereas the other concerns the ne adjustment of the Gaus-sian zones and of the local linear m...

How do international organisations (IOs) govern the present based on claims about coming impacts of technological change? Drawing primary documents and participant observation, this article traces how Organisation Economic Cooperation Development (OECD) anticipates automation emanating from growing integration blockchain technologies in global governance. We find that promises radical, rapid, r...

In this paper we consider the problem of decentralized (distributed) adaptive learning, where the aim of the network is to train the coefficients of a widely linear autoregressive moving average (ARMA) model by measurements collected by the nodes. Such a problem arises in many sensor network-based applications such as target tracking, fast rerouting, data reduction and data aggregation. We assu...

This paper considers a class of two-player dynamic games in which each player controls a one-dimensional variable which we interpret as a level of cooperation. In the base model, there is an irreversibility constraint stating that this variable can never be reduced, only increased. It otherwise satis...es the usual discounted repeated game assumptions. Under certain restrictions on the payo¤ fu...