T. B. Pedro
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
T. B. Pedro has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Antonio Luis Ferreira
Universidade de Aveiro
3 shared publications - Wagner Figueiredo
Departamento de Física, Universidade Federal de Santa Catarina, Florianópolis, 88040-900 Santa Catarina, Brazil
3 shared publications - Adam Lipowski
Adam Mickiewicz University
2 shared publications - Marcio Santos
University of Brasilia
2 shared publications
Latest Publications
- 1 December 2016
- Published by IOP Publishing in Journal of Statistical Mechanics: Theory and Experiment
- Vol. 2016 (12) , 123405
Prisoner’s dilemma on directed networks
We study the prisoner's dilemma model with a noisy imitation evolutionary dynamics on directed out-homogeneous and uncorrelated directed random networks. A heterogeneous pair mean-field approximation is presented showing good agreement with Monte Carlo simulations in the limit of weak selection (high noise) where we obtain analytical predictions for the critical temptations. We discuss the phase diagram as a function of temptation, intensity of noise and coordination number of the networks and we consider both the model with and without self-interaction. We compare our results with available results for non-directed lattices and networks.
- 1 December 2016
- Published by IOP Publishing in Journal of Statistical Mechanics: Theory and Experiment
- Vol. 2016 (12) , 123405
Prisoner’s dilemma on directed networks
We study the prisoner's dilemma model with a noisy imitation evolutionary dynamics on directed out-homogeneous and uncorrelated directed random networks. A heterogeneous pair mean-field approximation is presented showing good agreement with Monte Carlo simulations in the limit of weak selection (high noise) where we obtain analytical predictions for the critical temptations. We discuss the phase diagram as a function of temptation, intensity of noise and coordination number of the networks and we consider both the model with and without self-interaction. We compare our results with available results for non-directed lattices and networks.
- Open Access
Prisoner's dilemma on directed networks
We study the prisoner's dilemma model with a noisy imitation evolutionary dynamics on directed out-homogeneous and uncorrelated directed random networks. An heterogeneous pair mean-field approximation is presented showing good agreement with Monte Carlo simulations in the limit of weak selection (high noise) where we obtain analytical predictions for the critical temptations. We discuss the phase diagram as a function of temptation, intensity of noise and coordination number of the networks and we consider both the model with and without self-interaction. We compare our results with available results for non-directed lattices and networks.
Open AccessPrisoner's dilemma on directed networks
We study the prisoner's dilemma model with a noisy imitation evolutionary dynamics on directed out-homogeneous and uncorrelated directed random networks. An heterogeneous pair mean-field approximation is presented showing good agreement with Monte Carlo simulations in the limit of weak selection (high noise) where we obtain analytical predictions for the critical temptations. We discuss the phase diagram as a function of temptation, intensity of noise and coordination number of the networks and we consider both the model with and without self-interaction. We compare our results with available results for non-directed lattices and networks.
- 21 September 2015
- Published by American Physical Society (APS) in Physical Review E
- Vol. 92 (3) , 032131
Mean-field theory for the long-range contact process with diffusion
The effect of diffusion in the one-dimensional long-range contact process is investigated by mean-field calculations. Recent works have shown that diffusion decreases the effectiveness of long-range interactions, affecting the character of the phase transition: for higher values of the diffusion coefficient, stronger long-range interactions are required to enable phase coexistence and first-order behavior. Here we apply a generalized mean-field approximation for the master equation of the model that considers states of an aggregate of lattice sites. The phase diagram of the model for values of up to 10 is obtained, and for some values of the diffusion rate extrapolations to infinite-sized systems are given. For low-diffusive systems, approximations with are able to reveal the suppression of the phase coexistence induced by diffusion, however, in the high-diffusion regime, larger values of are necessary to correctly account for the higher range of correlations. We present a very efficient method to study the mean-field equations and determine the nature of the phase transitions that may be of general utility.- 21 September 2015
- Published by American Physical Society (APS) in Physical Review E
- Vol. 92 (3) , 032131
Mean-field theory for the long-range contact process with diffusion
The effect of diffusion in the one-dimensional long-range contact process is investigated by mean-field calculations. Recent works have shown that diffusion decreases the effectiveness of long-range interactions, affecting the character of the phase transition: for higher values of the diffusion coefficient, stronger long-range interactions are required to enable phase coexistence and first-order behavior. Here we apply a generalized mean-field approximation for the master equation of the model that considers states of an aggregate of lattice sites. The phase diagram of the model for values of up to 10 is obtained, and for some values of the diffusion rate extrapolations to infinite-sized systems are given. For low-diffusive systems, approximations with are able to reveal the suppression of the phase coexistence induced by diffusion, however, in the high-diffusion regime, larger values of are necessary to correctly account for the higher range of correlations. We present a very efficient method to study the mean-field equations and determine the nature of the phase transitions that may be of general utility.