2,686 research outputs found
A COEVOLUTIONARY APPROACH TO UNDERSTANDING THE PARADOX OF SOCIAL PRESSURES VERSUS ECONOMIC EFFICIENCY ACROSS THE WORLD'S FOOD CHAINS
Institutional and Behavioral Economics,
Continuous transition from the extensive to the non-extensive statistics in an agent-based herding model
Systems with long-range interactions often exhibit power-law distributions
and can by described by the non-extensive statistical mechanics framework
proposed by Tsallis. In this contribution we consider a simple model
reproducing continuous transition from the extensive to the non-extensive
statistics. The considered model is composed of agents interacting among
themselves on a certain network topology. To generate the underlying network we
propose a new network formation algorithm, in which the mean degree scales
sub-linearly with a number of nodes in the network (the scaling depends on a
single parameter). By changing this parameter we are able to continuously
transition from short-range to long-range interactions in the agent-based
model.Comment: 12 pages, 6 figure
Emergence of communities on a coevolutive model of wealth interchange
We present a model in which we investigate the structure and evolution of a
random network that connects agents capable of exchanging wealth. Economic
interactions between neighbors can occur only if the difference between their
wealth is less than a threshold value that defines the width of the economic
classes. If the interchange of wealth cannot be done, agents are reconnected
with another randomly selected agent, allowing the network to evolve in time.
On each interaction there is a probability of favoring the poorer agent,
simulating the action of the government. We measure the Gini index, having real
world values attached to reality. Besides the network structure showed a very
close connection with the economic dynamic of the system.Comment: 5 pages, 7 figure
Actor-relational planning in deprived areas : challenges and opportunities in luchtbal Antwerpen, Belgium
In this article we report and discuss our experience with actor relational approaches in the regeneration of a post war housing estate in Luchtbal, Antwerp, Belgium. Actor relational approaches are informed by post-structuralist ideas of space, complexity theory and actor network theory. Although ARA itself is not new, the application of ARA to deprived areaâs such as Luchtbal is novel. We report how the approach has been elaborated, its process and outcome. We conclude with our evaluation from an insiderâs perspective
Inverse Statistical Physics of Protein Sequences: A Key Issues Review
In the course of evolution, proteins undergo important changes in their amino
acid sequences, while their three-dimensional folded structure and their
biological function remain remarkably conserved. Thanks to modern sequencing
techniques, sequence data accumulate at unprecedented pace. This provides large
sets of so-called homologous, i.e.~evolutionarily related protein sequences, to
which methods of inverse statistical physics can be applied. Using sequence
data as the basis for the inference of Boltzmann distributions from samples of
microscopic configurations or observables, it is possible to extract
information about evolutionary constraints and thus protein function and
structure. Here we give an overview over some biologically important questions,
and how statistical-mechanics inspired modeling approaches can help to answer
them. Finally, we discuss some open questions, which we expect to be addressed
over the next years.Comment: 18 pages, 7 figure
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