In financial markets, participants locally optimize their profit which can result in a globally
unstable state leading to a catastrophic change. The largest crash in the past decades is the …

Using fault-tolerant constructions, computations performed with unreliable components can
simulate their noiseless counterparts though the introduction of a modest amount of …

The unexplained and inconsistent behavior of financial markets provides the motivation to
engage interdisciplinary approaches to understand its intricacies better. A proven approach …

The challenge to understand the dynamics of Complex Systems is attracting attention from a
wide range of disciplines across the natural, biological and social sciences. Recent turmoil …

Axelrod's model describes the dissemination of a set of cultural traits in a society constituted
by individual agents. In a social context, nevertheless, individual choices toward a specific …

Computation is often described in abstract and idealized terms. In this setting, the details of
the computer can be neglected: different models of computation are interchangeable for a …

The inability of investors and academics to consistently predict, and understand the behavior
of financial markets has forced the search for alternative analytical frameworks. Analyzing …

In-depth analysis of user interactions with applications in large systems is widely adopted as
a means to understand user's behavior for strategic purposes such as fraud detection …

We present a simple model of the emergence of the division of labor and the development of
a system of resource subsidy from an agent-based model of directed resource production …

Despite considerable efforts, the determinants of firm growth and financial market volatility
have not been definitively identified, yet sets of stylized facts–most notably power-law …