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The Evolution of Genetic Robustness for Cellular Cooperation in Early Multicellular Organisms 早期多细胞生物细胞合作的遗传稳健性进化
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00536
Katherine G. Skocelas, Austin J. Ferguson, Clifford Bohm, Katherine Perry, Rosemary Adaji, C. Ofria
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引用次数: 0
On the Entanglement between Evolvability and Fitness: an Experimental Study on Voxel-based Soft Robots 基于体素的软体机器人可进化性与适应度的纠缠研究
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00493
Andrea Ferigo, L. Soros, E. Medvet, Giovanni Iacca
The concept of evolvability, that is the capacity to produce heritable and adaptive phenotypic variation, is crucial in the current understanding of evolution. However, while its meaning is intuitive, there is no consensus on how to quantitatively measure it. As a consequence, in evolutionary robotics, it is hard to evaluate the interplay between evolvability and fitness and its dependency on key factors like the evolutionary algo-rithm (EA) or the representation of the individuals. Here, we propose to use MAP-Elites, a well-established Quality Diversity EA, as a support structure for measuring evolvability and for highlighting its interplay with fitness. We map the solutions generated during the evolutionary process to a MAP-Elites-like grid and then visualize their fitness and evolvability as maps. This procedures does not affect the EA execution and can hence be applied to any EA: it only requires to have two descriptors for the solutions that can be used to meaning-fully characterize them. We apply this general methodology to the case of Voxel-based Soft Robots (VSR), a kind of modular robots with a body composed of uniform elements whose volume is individually varied by the robot brain. Namely, we optimize the robots for the task of locomotion using evolutionary computation. We consider four representations, i.e., ways of transforming a genotype into a robot, two for the brain only and two for both body and brain of the VSR, and two EAs (MAP-Elites and a simple evolutionary strategy) and examine the evolvability and fitness maps. The experiments suggest that our methodology permits us to discover interesting patterns in the maps: fitness maps appear to depend more on the representation of the solution, whereas evolv-ability maps appear to depend more on the EA. As an aside, we find that MAP-Elites is particularly effective in the simultaneous evolution of the body and the brain of Voxel-based Soft Robots.
可进化性的概念,即产生可遗传和适应性表型变异的能力,在当前对进化的理解中是至关重要的。然而,虽然它的含义是直观的,但对于如何定量衡量它却没有共识。因此,在进化机器人中,很难评估可进化性和适应度之间的相互作用,以及它对进化算法(EA)或个体表示等关键因素的依赖。在这里,我们建议使用MAP-Elites(一个完善的质量多样性EA)作为测量可进化性和突出其与适应度的相互作用的支持结构。我们将进化过程中产生的解决方案映射到一个类似map - elite的网格中,然后将它们的适应度和进化性可视化为地图。这个过程不会影响EA的执行,因此可以应用到任何EA:它只需要有两个解决方案的描述符,可以用来有意义地描述它们。我们将这种通用方法应用于基于体素的软机器人(VSR),这是一种模块化机器人,其身体由统一的元素组成,其体积由机器人大脑单独改变。也就是说,我们使用进化计算优化机器人的运动任务。我们考虑了四种表达方式,即将基因型转化为机器人的方式,两种仅用于大脑,两种用于VSR的身体和大脑,以及两种ea (map - elite和简单进化策略),并检查了可进化性和适应度图。实验表明,我们的方法允许我们在地图中发现有趣的模式:适应性地图似乎更多地依赖于解决方案的表示,而进化能力地图似乎更多地依赖于EA。顺便说一下,我们发现map - elite在基于体素的软机器人的身体和大脑的同时进化中特别有效。
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引用次数: 5
Lineage Selection in Mixed Populations for Genetic Improvement 基于遗传改良的混合群体谱系选择
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00494
P. F. Rainford, B. Porter
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引用次数: 0
Detecting New Phase Transition Points in Large-Scale Numerical Simulations of an Adaptive Social Network Model 自适应社会网络模型大规模数值模拟中的新相变点检测
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00551
Hiroki Sayama
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引用次数: 0
Augmenting Evolution with Bio-Inspired “Super Explorers” 以生物为灵感的“超级探险家”增强进化
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00540
Vincent R. Ragusa, Clifford Bohm
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引用次数: 1
Toward automatic generation of diverse congestion control algorithms through co-evolution with simulation environments 通过与仿真环境的协同进化,实现各种拥塞控制算法的自动生成
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00515
Teruto Endo, H. Abe, Mizuki Oka
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引用次数: 1
Heterogeneity and Robustness in Social Learning 社会学习的异质性与稳健性
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00480
J. Lawry
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引用次数: 0
On the Trajectories of Planetary Civilizations: Asymptotic Burnout vs. Homeostatic Awakening 行星文明的轨迹:渐近耗尽vs.稳态觉醒
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00485
M. Wong, Stuart Bartlett
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引用次数: 0
Keep Your Frenemies Closer: Bacteriophage That Benefit Their Hosts Evolve to be More Temperate 让你的友敌更近:有利于宿主的噬菌体进化得更温和
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00489
A. Cameron, Seth Dorchen, S. Doore, Anya E. Vostinar
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引用次数: 0
The Last One Standing? - Recent Findings on the Feasibility of Indirect Reciprocity under Private Assessment 最后一个人?-关于私人评估下间接互惠可行性的最新调查结果
Pub Date : 1900-01-01 DOI: 10.1162/isal_a_00523
Marcus Krellner, T. Han
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引用次数: 3
期刊
The 2022 Conference on Artificial Life
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