We propose a tractable simplification of Gold's (1965, 1967) inductive inference model based on neural networks. In this way, we can introduce explicitly institutions in a learning model. In particular, the hidden layer of neural network is shown to perform certain functions-data preprocessing...

The importance of learning in a dynamical economic system is obvious. How to model the learning process is, however, not so evident. We have chosen to refer to the theory of recursive functions as the source for a rigorous formalization. In line with a famous metaphor like Patinkin's utility...

I propose to add two very general constraints to the standard rendition of production functions. These constraints naturally open the analysis of production functions to recursion theory. Some powerful results are exploited and applied to certain aspects of the theory of production. In...

Starting from De Canio and Watkins (1996) model of the firm, we study the diffusion of an industry-specific innovation in a digraph where each node "decides" whether or not to accept the innovation. We consider two scenarios. In the first one, the innovation is generated inside some firm and...

Agent-based methods have provided economics with new ways of modeling economic processes. We have found these possibilities useful with respect to modeling endogenous growth, in particular the modeling of learning agents that must cope with real world growth constraints such as time, space, and...

Much of the learning literature in orthodox frameworks, and with standard purposes, has been expertly summarized by Sargent in his recent Ryde Lectures (Sargent, 1993). Sargent's work, in turn, has been brilliantly reviewed by DeVany (1994). In recent growth models, traditional OLG models, in...

In this paper, transmissibility and replicability of blueprints confine production functions to computable processes. The immediate consequence is that research and development and the emergence of technological innovations are naturally embedded in computable production functions. There is no...