60 research outputs found

    Mental ability and common sense in an artificial society

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    We read newspapers and watch TV every day. There are many issues and many controversies. Since media are free, we can hear arguments from every possible side. How do we decide what is wrong or right? The first condition to accept a message is to understand it; messages that are too sophisticated are ignored. So it seems reasonable to assume that our understanding depends on our ability and our current knowledge. Here we show that the consequences of this statement are surprising and funny.Comment: 3 pages, 3 figures, for Europhysics New

    Competing contact processes in the Watts-Strogatz network

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    We investigate two competing contact processes on a set of Watts--Strogatz networks with the clustering coefficient tuned by rewiring. The base for network construction is one-dimensional chain of NN sites, where each site ii is directly linked to nodes labelled as i±1i\pm 1 and i±2i\pm 2. So initially, each node has the same degree ki=4k_i=4. The periodic boundary conditions are assumed as well. For each node ii the links to sites i+1i+1 and i+2i+2 are rewired to two randomly selected nodes so far not-connected to node ii. An increase of the rewiring probability qq influences the nodes degree distribution and the network clusterization coefficient C\mathcal{C}. For given values of rewiring probability qq the set N(q)={N1,N2,⋯ ,NM}\mathcal{N}(q)=\{\mathcal{N}_1, \mathcal{N}_2, \cdots, \mathcal{N}_M \} of MM networks is generated. The network's nodes are decorated with spin-like variables si∈{S,D}s_i\in\{S,D\}. During simulation each SS node having a DD-site in its neighbourhood converts this neighbour from DD to SS state. Conversely, a node in DD state having at least one neighbour also in state DD-state converts all nearest-neighbours of this pair into DD-state. The latter is realized with probability pp. We plot the dependence of the nodes SS final density nSTn_S^T on initial nodes SS fraction nS0n_S^0. Then, we construct the surface of the unstable fixed points in (C,p,nS0)(\mathcal{C}, p, n_S^0) space. The system evolves more often toward nST=1n_S^T=1 for (C,p,nS0)(\mathcal{C}, p, n_S^0) points situated above this surface while starting simulation with (C,p,nS0)(\mathcal{C}, p, n_S^0) parameters situated below this surface leads system to nST=0n_S^T=0. The points on this surface correspond to such value of initial fraction nS∗n_S^* of SS nodes (for fixed values C\mathcal{C} and pp) for which their final density is nST=12n_S^T=\frac{1}{2}.Comment: 5 pages, 5 figure

    To cooperate or to defect? Altruism and reputation

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    The basic problem in the cooperation theory is to justify the cooperation. Here we propose a new approach, where players are driven by their altruism to cooperate or not. The probability of cooperation depends also on the co-player's reputation. We find that players with positive altruism cooperate and met cooperation. In this approach, payoffs are not relevant. The mechanism is most efficient in the fully connected network.Comment: 7 pages, 4 figure
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