Promotion of cooperation based on swarm intelligence in spatial public goods games
| Autor: | Genggeng Liu, Wen-Zhong Guo, Han-Xin Yang, Ya-Shan Chen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Applied Mathematics media_common.quotation_subject Swarm behaviour Public good 01 natural sciences Swarm intelligence 010305 fluids & plasmas Computational Mathematics Promotion (rank) 0103 physical sciences Artificial intelligence 010306 general physics business Evolutionary dynamics media_common |
| Zdroj: | Applied Mathematics and Computation. 320:614-620 |
| ISSN: | 0096-3003 |
| DOI: | 10.1016/j.amc.2017.10.022 |
| Popis: | In this paper, we introduce the swarm intelligence methods into the evolutionary dynamics, and have studied the impact of swarm intelligent algorithm on the evolution of cooperation among selfish individuals in the continuous version of spatial public goods games (PGG). We update an individual’s strategy according to the memory which records the most successful individual strategy in the past (referred to as its personal best strategy) as well as the knowledge of the best current strategy found by its nearest neighbors (referred to as the neighborhood best strategy). Through extensive simulations, we find that the introduction of swarm intelligence into PGG can promote cooperation strongly. Other pertinent quantities such as the time evolution of cooperator density, the spatial distribution of strategies and the updated velocities are also investigated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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