Sakata Ayaka, Hukushima Koji, Kaneko Kunihiko
Graduate School of Arts and Sciences, The University of Tokyo, Komaba, Meguro-ku, Tokyo 153-8902, Japan.
Phys Rev Lett. 2009 Apr 10;102(14):148101. doi: 10.1103/PhysRevLett.102.148101. Epub 2009 Apr 6.
Using a statistical-mechanical model of spins, the evolution of phenotype dynamics is studied. Configurations of spins and their interaction J represent the phenotype and genotype, respectively. The fitness for selection of J is given by the equilibrium spin configurations determined by a Hamiltonian with J under thermal noise. The genotype J evolves through mutational changes under selection pressure to raise its fitness value. From Monte Carlo simulations we find that the frustration around the target spins disappears for J evolved under temperature beyond a certain threshold. The evolved Js give the funnel-like dynamics, which is robust to noise and also to mutation.
利用自旋的统计力学模型,研究了表型动力学的演化。自旋的构型及其相互作用J分别代表表型和基因型。J的选择适应性由热噪声下具有J的哈密顿量所确定的平衡自旋构型给出。基因型J在选择压力下通过突变变化而进化,以提高其适应值。通过蒙特卡罗模拟,我们发现对于在超过一定阈值的温度下进化的J,目标自旋周围的受挫现象消失。进化后的J给出了漏斗状动力学,它对噪声和突变都具有鲁棒性。