26,009 research outputs found
Heterogeneity in evolutionary games: an analysis of the risk perception
In this work, we analyse the relationship between heterogeneity and
cooperation. Previous investigations suggest that this relation is nontrivial,
as some authors found that heterogeneity sustains cooperation, while others
obtained different results. Among the possible forms of heterogeneity, we focus
on the individual perception of risks and rewards related to a generic event,
that can show up in a number of social and biological systems. The modelling
approach is based on the framework of Evolutionary Game Theory. To represent
this kind of heterogeneity, we implement small and local perturbations on the
payoff matrix of simple 2-strategy games, as the Prisoner's Dilemma. So, while
usually the payoff is considered as a global and time-invariant structure, i.e.
it is the same for all individuals of a population at any time, in our model
its value is continuously affected by small variations, both in time and space
(i.e. position on a lattice). We found that such perturbations can be
beneficial or detrimental to cooperation, depending on their setting. Notably,
cooperation is strongly supported when perturbations act on the main diagonal
of the payoff matrix, whereas when they act on the off-diagonal the resulting
effect is more difficult to quantify. To conclude, the proposed model shows a
rich spectrum of possible equilibria, whose interpretation might offer insights
and enrich the description of several systems.Comment: 7 pages, 5 figure
Cooperation in public goods games: stay, but not for too long
Cooperation in repeated public goods game is hardly achieved, unless
contingent behavior is present. Surely, if mechanisms promoting positive
assortment between cooperators are present, then cooperators may beat
defectors, because cooperators would collect greater payoffs. In the context of
evolutionary game theory, individuals that always cooperate cannot win the
competition against defectors in well-mixed populations. Here, we study the
evolution of a population where fitness is obtained in repeated public goods
games and players have a fixed probability of playing the next round. As a
result, the group size decreases during the game. The population is well-mixed
and there are only two available strategies: always cooperate (ALLC) or always
defect (ALLD). Through numerical calculation and analytical approximations we
show that cooperation can emerge if the players stay playing the game, but not
for too long. The essential mechanism is the interaction between the transition
from strong to weak altruism, as the group size decreases, and the existence of
an upper limit to the number of rounds representing limited time availability
Comment on: Kinetic Roughening in Slow Combustion of Paper
We comment on a recent Letter by Maunuksela et al. [Phys. Rev. Lett. 79, 1515
(1997)].Comment: 1 page, 1 figure, http://polymer.bu.edu/~hmakse/Home.htm
Classes of complex networks defined by role-to-role connectivity profiles
Interactions between units in phyical, biological, technological, and social
systems usually give rise to intrincate networks with non-trivial structure,
which critically affects the dynamics and properties of the system. The focus
of most current research on complex networks is on global network properties. A
caveat of this approach is that the relevance of global properties hinges on
the premise that networks are homogeneous, whereas most real-world networks
have a markedly modular structure. Here, we report that networks with different
functions, including the Internet, metabolic, air transportation, and protein
interaction networks, have distinct patterns of connections among nodes with
different roles, and that, as a consequence, complex networks can be classified
into two distinct functional classes based on their link type frequency.
Importantly, we demonstrate that the above structural features cannot be
captured by means of often studied global properties
Modularity from Fluctuations in Random Graphs and Complex Networks
The mechanisms by which modularity emerges in complex networks are not well
understood but recent reports have suggested that modularity may arise from
evolutionary selection. We show that finding the modularity of a network is
analogous to finding the ground-state energy of a spin system. Moreover, we
demonstrate that, due to fluctuations, stochastic network models give rise to
modular networks. Specifically, we show both numerically and analytically that
random graphs and scale-free networks have modularity. We argue that this fact
must be taken into consideration to define statistically-significant modularity
in complex networks.Comment: 4 page
A Study of Cool White Dwarfs in the Sloan Digital Sky Survey Data Release 12
In this work we study white dwarfs where to compare the differences in the
cooling of DAs and non-DAs and their formation channels. Our final sample is
composed by nearly DAs and more than non-DAs that are
simultaneously in the SDSS DR12 spectroscopic database and in the \textit{Gaia}
survey DR2. We present the mass distribution for DAs, DBs and DCs, where it is
found that the DCs are more massive than DAs and
DBs on average. Also we present the photometric effective temperature
distribution for each spectral type and the distance distribution for DAs and
non-DAs. In addition, we study the ratio of non-DAs to DAs as a function of
effective temperature. We find that this ratio is around for
effective temperature above and increases by a factor
of five for effective temperature cooler than . If we assume
that the increase of non-DA stars between to
is due to convective dilution, per cent of
the DAs should turn into non-DAs to explain the observed ratio. Our
determination of the mass distribution of DCs also agrees with the theory that
convective dilution and mixing are more likely to occur in massive white
dwarfs, which supports evolutionary models and observations suggesting that
higher mass white dwarfs have thinner hydrogen layers.Comment: 9 pages, 10 figures, accepted by MNRA
- …
