Evolution of tag-mediated altruistic behavior in one-shot encounters on large-scale complex networks

被引:19
作者
Hadzibeganovic, Tarik [2 ]
Lima, F. Welington S. [1 ]
Stauffer, Dietrich [3 ]
机构
[1] Univ Fed Piaui, Dept Fis, BR-64049550 Teresina Pi, Brazil
[2] Graz Univ, Dept Psychol, A-8010 Graz, Austria
[3] Univ Cologne, Inst Theoret Phys, D-50923 Cologne, Germany
关键词
Monte Carlo simulation; Networks; Evolution of cooperation; Agent-based model; Altruism; PRISONERS-DILEMMA; COOPERATIVE BEHAVIOR; GROUP SELECTION; DYNAMICS; MODEL; RECIPROCITY; PUNISHMENT; EMERGENCE; PROMOTES; CUES;
D O I
10.1016/j.cpc.2012.05.020
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An agent-based evolutionary model of tag-mediated altruism is studied on large-scale complex networks addressing multiplayer one-shot Prisoner's Dilemma-like games with four competing strategies. Contrary to standard theoretical predictions, but in line with recent empirical findings, we observed that altruistic acts in non-repeated interactions can emerge as a natural consequence of recognition of heritable phenotypic traits such as visual tags, which enable the discrimination between potentially beneficial and unproductive encounters. Moreover, we identified topological regimes in which cooperation always prevails at short times, but where unconditional cooperators are favored over conditional tag-based helpers, even though the latter initially have a slight reproductive advantage. After very long times, we found that all four strategies appeared about equally often, meaning that only one quarter of agents refused cooperation egoistically. However, our study suggests that intra-tag generosity can quickly evolve to dominate over other strategies in spatially structured environments that are otherwise detrimental to cooperative behavior. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:2315 / 2321
页数:7
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