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Stochastic cellular automaton

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The state of the collection of entities is updated at each discrete time according to some simple homogeneous rule. All entities' states are updated in parallel or synchronously. Stochastic cellular automata are CA whose updating rule is a
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Boas, Sonja E. M.; Jiang, Yi; Merks, Roeland M. H.; Prokopiou, Sotiris A.; Rens, Elisabeth G. (2018). "Chapter 18: Cellular Potts Model: Applications to Vasculogenesis and Angiogenesis". In Louis, P.-Y.; Nardi, F. R. (eds.).
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Locally Interacting Systems and their Application in Biology: Proceedings of the School-Seminar on Markov Interaction Processes in Biology, held in Pushchino, March 1976
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Fernandez, R.; Louis, P.-Y.; Nardi, F. R. (2018). "Chapter 1: Overview: PCA Models and Issues". In Louis, P.-Y.; Nardi, F. R. (eds.).
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one, which means the new entities' states are chosen according to some probability distributions. It is a discrete-time
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a finite neighbourhood of k. See for a more detailed introduction following the probability theory's point of view.
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Almeida, R. M.; Macau, E. E. N. (2010), "Stochastic cellular automata model for wildland fire spread dynamics",
497: 1281: 161: 124: 1301: 823: 1082: 975: 835: 279: 140: 1068:"A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area" 330: 127:. From the spatial interaction between the entities, despite the simplicity of the updating rules, 1067: 230: 1098: 937: 108: 471: 1256: 1215: 1023: 927: 894: 860: 136: 759: 1246: 1238: 1207: 1199: 1172: 1136: 1090: 1052: 1015: 1007: 983: 919: 112: 17: 1186: 1150: 874: 551: 252: 1182: 1146: 870: 1057: 1113:
Studies in language classes defined by different types of time-varying cellular automata
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9th Brazilian Conference on Dynamics, Control and their Applications, June 7–11, 2010
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Agapie, A.; Andreica, A.; Giuclea, M. (2014), "Probabilistic Cellular Automata",
1011: 859:, Lecture Notes in Mathematics, vol. 653, Springer-Verlag, Berlin-New York, 923: 815: 1161:(1972), "Real-time language recognition by one-dimensional cellular automata", 1125:
Nishio, Hidenosuke; Kobuchi, Youichi (1975), "Fault tolerant cellular spaces",
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There is a strong connection between probabilistic cellular automata and the
461:{\displaystyle P(d\sigma |\eta )=\otimes _{k\in G}p_{k}(d\sigma _{k}|\eta )} 132: 1260: 676:{\displaystyle p_{k}(d\sigma _{k}|\eta )=p_{k}(d\sigma _{k}|\eta _{V_{k}})} 1242: 1211: 1019: 1094: 139:. As mathematical object, it may be considered in the framework of 966:
Vichniac, G. (1984), "Simulating physics with cellular automata",
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Stochastic Cellular Systems: Ergodicity, Memory, Morphogenesis
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in discrete-time. See for a more detailed introduction.
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As discrete-time Markov process, PCA are defined on a
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R. L. Dobrushin; V. I. Kri︠u︡kov; A. L. Toom (1978).
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may be too technical for most readers to understand
838:in particular when it is implemented in parallel. 777: 748: 675: 567: 540: 486: 460: 364: 319: 268: 241: 219: 199: 115:of interacting entities, whose state is discrete. 372:. The transition probability has a product form 1075:Environment and Planning B: Planning and Design 8: 359: 347: 314: 296: 802:with probabilistic updating rules. See the 27:Cellular automaton with probabilistic rules 1250: 1194:Louis, P.-Y.; Nardi, F. R., eds. (2018). 1176: 1140: 1056: 789:Examples of stochastic cellular automaton 768: 763: 761: 738: 727: 717: 699: 694: 688: 662: 657: 648: 642: 626: 608: 602: 586: 580: 559: 553: 541:{\displaystyle p_{k}(d\sigma _{k}|\eta )} 527: 521: 505: 499: 473: 447: 441: 425: 409: 391: 377: 338: 332: 287: 281: 260: 254: 235: 234: 232: 212: 191: 175: 163: 73:Learn how and when to remove this message 57:, without removing the technical details. 111:. Cellular automata are a discrete-time 1164:Journal of Computer and System Sciences 1128:Journal of Computer and System Sciences 847: 575:. In general some locality is required 200:{\displaystyle E=\prod _{k\in G}S_{k}} 1118:Indian Institute of Technology Madras 276:is a finite space, like for instance 55:make it understandable to non-experts 7: 227:is a finite or infinite graph, like 1066:Clarke, K. C.; Hoppen, S. (1997), 151:PCA as Markov stochastic processes 25: 1051:, vol. 285, p. 012038, 810:Relation to lattice random fields 548:is a probability distribution on 1231:Journal of Computational Biology 814:PCA may be used to simulate the 34: 1196:Probabilistic Cellular Automata 1110:Mahajan, Meena Bhaskar (1992), 1004:Probabilistic Cellular Automata 916:Probabilistic Cellular Automata 893:. Manchester University Press. 320:{\displaystyle S_{k}=\{-1,+1\}} 90:probabilistic cellular automata 1058:10.1088/1742-6596/285/1/012038 724: 710: 670: 649: 632: 616: 609: 592: 535: 528: 511: 455: 448: 431: 399: 392: 382: 107:are an important extension of 1: 1178:10.1016/S0022-0000(72)80004-7 1142:10.1016/s0022-0000(75)80065-1 365:{\displaystyle S_{k}=\{0,1\}} 1012:10.1007/978-3-319-65558-1_18 988:10.1016/0167-2789(84)90253-7 242:{\displaystyle \mathbb {Z} } 86:Stochastic cellular automata 18:Stochastic cellular automata 924:10.1007/978-3-319-65558-1_1 800:majority cellular automaton 794:Majority cellular automaton 145:interacting particle system 1318: 798:There is a version of the 487:{\displaystyle \eta \in E} 207:(cartesian product) where 1204:10.1007/978-3-319-65558-1 98:random cellular automata 778:{\displaystyle {V_{k}}} 125:random dynamical system 1292:Complex systems theory 1116:, Ph.D. dissertation, 779: 750: 677: 569: 542: 488: 462: 366: 321: 270: 243: 221: 201: 1243:10.1089/cmb.2014.0074 824:statistical mechanics 780: 751: 678: 570: 568:{\displaystyle S_{k}} 543: 489: 463: 367: 322: 271: 269:{\displaystyle S_{k}} 244: 222: 202: 855:Toom, A. L. (1978), 836:cellular Potts model 830:Cellular Potts model 760: 687: 579: 552: 498: 472: 376: 331: 280: 253: 231: 211: 162: 141:stochastic processes 102:locally interacting 1159:Smith, Alvy Ray III 1087:1997EnPlB..24..247C 980:1984PhyD...10...96V 775: 746: 673: 565: 538: 484: 458: 362: 317: 266: 239: 217: 197: 186: 109:cellular automaton 1297:Spatial processes 1287:Self-organization 1277:Cellular automata 866:978-3-540-08450-1 220:{\displaystyle G} 171: 137:self-organization 129:complex behaviour 83: 82: 75: 16:(Redirected from 1309: 1263: 1254: 1225: 1189: 1180: 1153: 1144: 1120: 1105: 1072: 1061: 1060: 1034: 1033: 998: 992: 990: 963: 957: 952: 946: 945: 911: 905: 904: 884: 878: 877: 852: 784: 782: 781: 776: 774: 773: 772: 755: 753: 752: 747: 745: 744: 743: 742: 722: 721: 706: 705: 704: 703: 682: 680: 679: 674: 669: 668: 667: 666: 652: 647: 646: 631: 630: 612: 607: 606: 591: 590: 574: 572: 571: 566: 564: 563: 547: 545: 544: 539: 531: 526: 525: 510: 509: 493: 491: 490: 485: 467: 465: 464: 459: 451: 446: 445: 430: 429: 420: 419: 395: 371: 369: 368: 363: 343: 342: 326: 324: 323: 318: 292: 291: 275: 273: 272: 267: 265: 264: 248: 246: 245: 240: 238: 226: 224: 223: 218: 206: 204: 203: 198: 196: 195: 185: 113:dynamical system 78: 71: 67: 64: 58: 38: 37: 30: 21: 1317: 1316: 1312: 1311: 1310: 1308: 1307: 1306: 1267: 1266: 1228: 1222: 1193: 1157: 1124: 1109: 1095:10.1068/b240247 1070: 1065: 1046: 1043: 1041:Further reading 1038: 1037: 1030: 1000: 999: 995: 974:(1–2): 96–115, 965: 964: 960: 955:P.-Y. Louis PhD 953: 949: 934: 913: 912: 908: 901: 886: 885: 881: 867: 854: 853: 849: 844: 832: 812: 796: 791: 764: 758: 757: 734: 723: 713: 695: 690: 685: 684: 658: 653: 638: 622: 598: 582: 577: 576: 555: 550: 549: 517: 501: 496: 495: 470: 469: 437: 421: 405: 374: 373: 334: 329: 328: 283: 278: 277: 256: 251: 250: 229: 228: 209: 208: 187: 160: 159: 153: 79: 68: 62: 59: 51:help improve it 48: 39: 35: 28: 23: 22: 15: 12: 11: 5: 1315: 1313: 1305: 1304: 1299: 1294: 1289: 1284: 1282:Lattice models 1279: 1269: 1268: 1265: 1264: 1237:(9): 699–708, 1226: 1220: 1191: 1171:(3): 233–253, 1155: 1135:(2): 150–170, 1122: 1107: 1081:(2): 247–261, 1063: 1042: 1039: 1036: 1035: 1028: 993: 958: 947: 932: 906: 899: 879: 865: 846: 845: 843: 840: 831: 828: 820:ferromagnetism 811: 808: 795: 792: 790: 787: 771: 767: 741: 737: 733: 730: 726: 720: 716: 712: 709: 702: 698: 693: 672: 665: 661: 656: 651: 645: 641: 637: 634: 629: 625: 621: 618: 615: 611: 605: 601: 597: 594: 589: 585: 562: 558: 537: 534: 530: 524: 520: 516: 513: 508: 504: 483: 480: 477: 457: 454: 450: 444: 440: 436: 433: 428: 424: 418: 415: 412: 408: 404: 401: 398: 394: 390: 387: 384: 381: 361: 358: 355: 352: 349: 346: 341: 337: 316: 313: 310: 307: 304: 301: 298: 295: 290: 286: 263: 259: 237: 216: 194: 190: 184: 181: 178: 174: 170: 167: 152: 149: 81: 80: 42: 40: 33: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 1314: 1303: 1302:Markov models 1300: 1298: 1295: 1293: 1290: 1288: 1285: 1283: 1280: 1278: 1275: 1274: 1272: 1262: 1258: 1253: 1248: 1244: 1240: 1236: 1232: 1227: 1223: 1221:9783319655581 1217: 1213: 1209: 1205: 1201: 1197: 1192: 1188: 1184: 1179: 1174: 1170: 1166: 1165: 1160: 1156: 1152: 1148: 1143: 1138: 1134: 1130: 1129: 1123: 1119: 1115: 1114: 1108: 1104: 1100: 1096: 1092: 1088: 1084: 1080: 1076: 1069: 1064: 1059: 1054: 1050: 1045: 1044: 1040: 1031: 1029:9783319655581 1025: 1021: 1017: 1013: 1009: 1005: 997: 994: 989: 985: 981: 977: 973: 969: 962: 959: 956: 951: 948: 943: 939: 935: 933:9783319655581 929: 925: 921: 917: 910: 907: 902: 900:9780719022067 896: 892: 891: 883: 880: 876: 872: 868: 862: 858: 851: 848: 841: 839: 837: 829: 827: 825: 821: 817: 809: 807: 805: 801: 793: 788: 786: 769: 765: 739: 735: 731: 728: 718: 714: 707: 700: 696: 691: 663: 659: 654: 643: 639: 635: 627: 623: 619: 613: 603: 599: 595: 587: 583: 560: 556: 532: 522: 518: 514: 506: 502: 481: 478: 475: 452: 442: 438: 434: 426: 422: 416: 413: 410: 406: 402: 396: 388: 385: 379: 356: 353: 350: 344: 339: 335: 311: 308: 305: 302: 299: 293: 288: 284: 261: 257: 214: 192: 188: 182: 179: 176: 172: 168: 165: 158: 157:product space 150: 148: 146: 142: 138: 134: 130: 126: 122: 116: 114: 110: 106: 105: 104:Markov chains 99: 95: 91: 87: 77: 74: 66: 56: 52: 46: 43:This article 41: 32: 31: 19: 1234: 1230: 1212:2158/1090564 1195: 1168: 1162: 1132: 1126: 1112: 1078: 1074: 1048: 1006:. Springer. 1003: 996: 971: 967: 961: 950: 918:. Springer. 915: 909: 889: 882: 856: 850: 833: 813: 797: 154: 117: 101: 97: 93: 89: 85: 84: 69: 60: 44: 816:Ising model 804:Toom's rule 1271:Categories 1020:1887/69811 842:References 249:and where 121:stochastic 968:Physica D 732:∈ 715:η 692:η 655:η 640:σ 614:η 600:σ 533:η 519:σ 479:∈ 476:η 453:η 439:σ 414:∈ 407:⊗ 397:η 389:σ 300:− 180:∈ 173:∏ 63:June 2013 1261:24999557 1103:40847078 942:64938352 1252:4148062 1187:0309383 1151:0389442 1083:Bibcode 976:Bibcode 875:0479791 49:Please 1259:  1249:  1218:  1185:  1149:  1101:  1026:  940:  930:  897:  873:  863:  683:where 468:where 143:as an 133:emerge 1099:S2CID 1071:(PDF) 938:S2CID 756:with 135:like 96:) or 1257:PMID 1216:ISBN 1024:ISBN 928:ISBN 895:ISBN 861:ISBN 494:and 131:may 1247:PMC 1239:doi 1208:hdl 1200:doi 1173:doi 1137:doi 1091:doi 1053:doi 1016:hdl 1008:doi 984:doi 920:doi 822:in 818:of 327:or 100:or 94:PCA 88:or 53:to 1273:: 1255:, 1245:, 1235:21 1233:, 1214:. 1206:. 1183:MR 1181:, 1167:, 1147:MR 1145:, 1133:11 1131:, 1097:, 1089:, 1079:24 1077:, 1073:, 1022:. 1014:. 982:, 972:10 970:, 936:. 926:. 871:MR 869:, 806:. 1241:: 1224:. 1210:: 1202:: 1190:. 1175:: 1169:6 1154:. 1139:: 1121:. 1106:. 1093:: 1085:: 1062:. 1055:: 1032:. 1018:: 1010:: 991:. 986:: 978:: 944:. 922:: 903:. 770:k 766:V 740:k 736:V 729:j 725:) 719:j 711:( 708:= 701:k 697:V 671:) 664:k 660:V 650:| 644:k 636:d 633:( 628:k 624:p 620:= 617:) 610:| 604:k 596:d 593:( 588:k 584:p 561:k 557:S 536:) 529:| 523:k 515:d 512:( 507:k 503:p 482:E 456:) 449:| 443:k 435:d 432:( 427:k 423:p 417:G 411:k 403:= 400:) 393:| 386:d 383:( 380:P 360:} 357:1 354:, 351:0 348:{ 345:= 340:k 336:S 315:} 312:1 309:+ 306:, 303:1 297:{ 294:= 289:k 285:S 262:k 258:S 236:Z 215:G 193:k 189:S 183:G 177:k 169:= 166:E 92:( 76:) 70:( 65:) 61:( 47:. 20:)

Index

Stochastic cellular automata
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make it understandable to non-experts
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Markov chains
cellular automaton
dynamical system
stochastic
random dynamical system
complex behaviour
emerge
self-organization
stochastic processes
interacting particle system
product space
majority cellular automaton
Toom's rule
Ising model
ferromagnetism
statistical mechanics
cellular Potts model
ISBN
978-3-540-08450-1
MR
0479791
Stochastic Cellular Systems: Ergodicity, Memory, Morphogenesis
ISBN
9780719022067
doi
10.1007/978-3-319-65558-1_1

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