अमूर्त

Simulation of evolutionisms for the double-membrane prokaryotes based on Parrondo's model

Wang Lu, Ye Shun-qiang, Wang Meng, Ye Ye, Xie Neng-gang


Lake proposed a hypothesis that symbiosis between a clostridium and actinobacterium produced the double-membrane prokaryotes and endosymbiosis. On the basis of LakeÂ’s hypothesis, this paper explains the rationality from quantitative analysis by using game theory so as to show symbiosis is a successful direction of evolution. The paper devises a multiagent ParrondoÂ’s model, which consists of game A and game B. Game A reflects the interaction relationship among individuals. Considering the symbiosis and endosymbiosis of actinobacteria and clostridia, we match them into the double-membrane prokaryotes by pairs. Complementary cooperationmechanismis adopted if the same type of individuals encounter, whereas competitive mechanism is adopted if the different types of individuals encounter. Game B reflects the environmental effect on individuals and is devised to be a negative-sum game, reflecting the harsh natural environment. It has two branches depend on the divisibility of a moduleM. One branch represents the unfavorable factors of environment, which has little probability to win; the other indicates the favorable conditions of environmentwith a large probability ofwinning. Besides, we set up a feedback mechanism to express the photosynthesis of the doublemembrane prokaryotes. Through feedback of thismechanism, the structure of gameB is improved. The improvement ismainly reflected in two aspects: quantitative and qualitative changes. Quantitative change means the winning probability of the favorable branch increases, while qualitative change indicates the module M becomes large. The simulation results show the endosymbiosis and the photosynthesis can make the doublemembrane prokaryotes obtain a greater fitness and a higher survival percentage.


अस्वीकृति: इस सारांश का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया है और इसे अभी तक समीक्षा या सत्यापित नहीं किया गया है।

में अनुक्रमित

  • कैस
  • गूगल ज्ञानी
  • जे गेट खोलो
  • चीन राष्ट्रीय ज्ञान अवसंरचना (सीएनकेआई)
  • उद्धरण कारक
  • ब्रह्मांड IF
  • रिसर्च जर्नल इंडेक्सिंग की निर्देशिका (डीआरजेआई)
  • गुप्त खोज इंजन लैब्स
  • विद्वान लेख प्रभाव कारक (SAJI))
  • आईसीएमजेई

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