Evolution of cooperation in adaptive social networks
نویسندگان
چکیده
Sven Van Segbroeck COMO, Vrije Universiteit Brussel (VUB), B-1050 Brussels, Belgium. Francisco C. Santos IRIDIA, Université Libre de Bruxelles (ULB), B-1050 Brussels, Belgium. Arne Traulsen Max-Planck-Institute for Evolutionary Biology, D-24306 Plön, Germany. Tom Lenaerts SWITCH, VIB and Vrije Universiteit Brussel (VUB), B-1050 Brussels, Belgium. Jorge M. Pacheco ATP-Group and CFTC, Departamento de F́ısica da Faculdade de Ciências, P-1649-003 Lisboa Codex, Portugal.
منابع مشابه
Emergence of Cooperation in Adaptive Social Networks with Behavioral Diversity
Whether by nature or nurture, humans often respond differently when facing the same situation. Yet, the role of behavioral differences between individuals when immersed in their social network remains largely ignored in most problems of natural and social sciences. Here, we investigate how diversity in the way individuals assess their adverse social partners affects the evolution of cooperation...
متن کاملEvolution of Cooperation in a Population of Selfish Adaptive Agents
Often the selfish and strong are believed to be favored by natural selection, even though cooperative interactions thrive at all levels of organization in living systems. Recent empirical data shows that networks representing the social interactions between people exhibit typically high average connectivity and associated single-to-broad-scale heterogeneity, a feature which precludes the emerge...
متن کاملOn the effect of low-quality node observation on learning over incremental adaptive networks
In this paper, we study the impact of low-quality node on the performance of incremental least mean square (ILMS) adaptive networks. Adaptive networks involve many nodes with adaptation and learning capabilities. Low-quality mode in the performance of a node in a practical sensor network is modeled by the observation of pure noise (its observation noise) that leads to an unreliable measurement....
متن کاملA Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کاملBehavioral differences and the evolution of cooperation in adaptive social networks
Cooperation is essential in every society, but puzzling from an evolutionary perspective. Here, we discuss the work published in [11], where we address the role of behavioral differences — ubiquitous among Humans — in the evolution of cooperation. We study a model in which individuals interact along the edges of a complex network, engaging in social dilemmas of cooperation. The structure of the...
متن کاملA Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network
Abstract Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...
متن کامل