This chapter explores the potential advantages and disadvantages of Agent-based Computational Economics (ACE) for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive...

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This contribution focuses on the simulation of the emergence and evolution of communities of practice, a concept brought forwards originally in sociology in the early 90’s by Lave and Wenger (1990) and Brown and Duguid (1991). In a first part, the main theoretical principles on which relies...

When alternative market institutions are available, traders have to decide both where and how much to trade. We conducted an experiment where traders could decide to trade either in an (efficient) double-auction institution or in a posted-offers one, which should favor sellers. When sellers face...

We study learning in perfect competition. A representative price-taking firm sells a good whose quality is unknown to some buyers. The uninformed buyers use the price to infer information about quality. Even though the firm is a price-taker, information is disseminated though the price. It is...

We study learning in perfect competition. A price-taking firm sells a good whose quality is unknown to some buyers. The uninformed buyers use the price to infer information about quality. The presence of noise on the supply prevents perfect learning. Even though the firm is a price-taker,...

Workers learn on the job from both repetition and peers. Less understood is how specific types of experience and peer characteristics affect on-the-job learning. This likely differs by context (e.g., occupation, tasks, or roles). Absent such knowledge, it is unclear how to optimally assign...

An economy consists of many duopolistic markets. Firms must earn normal profits in the long run if they are to survive. Normal profits are interpreted as the long-run limit of average profits in the whole economy. We adopt the aspiration based model of firm behaviour, and link it to the economy...

This paper investigates the effect of spillovers in a model of endogenous technical change resulting from learning or network effects on the existence of a lower bound to market concentration.

We show that a non-Bayesian learning procedure leads to very permissive implementation results concerning the efficient allocation of resources in a dynamic environment where impatient, privately informed agents arrive over time, and where the designer gradually learns about the distribution of...