Today, Alchian's "Uncertainty, evolution and economic theory" (1950) is hailed by evolutionary economists as a most important piece, which resumed an evolutionary brand of theorizing in economics after the eclipse of the interwar period. On the other hand, Alchian's article is also cherished by...

Today, Alchian's "Uncertainty, evolution and economic theory" (1950) is hailed by evolutionary economists as a most important piece, which resumed an evolutionary brand of theorizing in economics after the eclipse of the interwar period. On the other hand, Alchian's article is also cherished by...

The framework of "Modern Theory of Critical State Transitions"1,2 considers the relation between different levels of organization in complex systems in terms of critical state transitions. A state transition between levels entails changes of scale of observables and, concurrently, new formats of...

We derive the most probable distribution of resources for a simple society. We find that a probabilistic analysis forbids both too much and too less equity, and selects instead a minimally ordered state. We give the detailed calculations for a special model where the population and resources are...

We review various aspects of the notion ofscale applied to natural systems, in particularcomplex adaptive systems. We argue that scalingissues are not only crucial from the standpointof basic science, but also in many appliedissues, and discuss tools for detecting anddealing with multiple...

We compare and contrast three different, but complementary views of "structure" and "pattern" in spatial processes. For definiteness and analytical clarity we apply all three approaches to the simplest class of spatial processes: one-dimensional Ising spin systems with finite-range interactions....

Computational mechanics, an approach to structural complexity, defines a process's causal states and gives a procedure for finding them. We show that the causal-state representation--an e-machine--is the minimal one consistent with accurate prediction. We establish several results on e-machine...

We propose a class of Markovian agent based models for the time evolution of a share price in an interactive market. The models rely on a microscopic description of a market of buyers and sellers who change their opinion about the stock value in a stochastic way. The actual price is determined...

Despite its haphazard growth, the Web hides powerful underlying regularities--from the organization of its links to the patterns found in its use by millions of users. Many of these regularities have been predicted on the basis of theoretical models based on a field of physics--statistical...

The study of social interactions has enriched both the domain of inquiry of economists and the way economists conceptualize individual decision making. The review aims to introduce the classes of models that accommodate estimation of social interactions and to examine the key areas where...