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Draft:Susan L. Epstein

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638:, a novel machine-learning cognitive architecture with the ability to problem solve and make expert decisions. Systems based on FORR have autonomously learned to play multiple games expertly, solve challenging constraint satisfaction problems, converse with an expert to achieve a mutual goal, and control a robot as it pragmatically navigates complex, real-world environments. She has also pioneered work in collaborative intelligence and mathematical discovery by computer. Epstein defines collaborative intelligence as humans and intelligent machines working together to achieve human-specified goals. She has challenged the AI community to develop systems that collaborate effectively with humans, adapt to their needs, and leverage human expertise 476: 463: 354: 641:
Epstein's interdisciplinary collaboration has contributed to a broader understanding of knowledge and learning principles in mathematics, psychology, geography, linguistics, microbiology, architecture, and robotics. Epstein's recent significant contributions to the Combined Knowledge and Competency
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in 1984 as a computer scientist. Her early work includes the Graph Theorist, the first system that hypothesized mathematical concepts then proved theorems about those hypotheses. She is a professor of computer science and director of CUNY's Problem Solving and Machine Learning Laboratory at
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Hunter College. Her tenure at Hunter College and The Graduate Center of CUNY has been marked by her leadership in AI research and dedication to advancing the field through education and collaboration.
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tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the
642:(CKC) Model for Computer Science Curricula and robotic-assisted adaptive landscaping reflect her ongoing commitment to leveraging AI for practical and innovative applications toward social good. 571: 774: 590: on artificial intelligence. Epstein's interdisciplinary work has advanced the understanding of how knowledge and learning can be simulated and applied in computer systems. 1393: 1030: 445: 96: 1398: 1418: 607: 627: 48: 924:
Bradford, Alexander; Kain Day, J; Hutchinson, Laura; Kaperick, Bryan; Larson, C. E.; Mills, Matthew; Muncy, David; Van Cleemput, Nico (June 2020).
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Most of the sources are not primary. Please tweak the tone while substituting as much primary sources with secondary ones as possible.
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Zhang, Z; Epstein, SL; Breen, C; Zhu, Z; Volkmann, C (2023). "Robots in the Garden: Artificial Intelligence and Adaptive Landscapes".
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Kumar, A; Anderson, MD; Becker, BA; Pias, M; Oudshoom, M; Jalote, P; Servin, C; Aly, SG; Blumenthal, RL; Epstein, SL (2023).
441: 425: 396: 197: 80: 437: 432: 203: 153: 120: 87: 55: 618: in 1983. Her doctoral thesis topic was "Knowledge Representation in Mathematics: A Case Study In Graph Theory." 539: 230: 157:
from experienced editors. These venues are only for help with editing and the submission process, not to get reviews.
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If you have not resolved the issues listed above, your draft will be declined again and potentially deleted.
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when addressing this issue). If no additional references exist, the subject is not suitable for Knowledge.
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Proceedings of the 3rd Annual IEEE Symposium on Computational Intelligence and Games, 2007
165: 47:. Please rewrite your submission in a more encyclopedic format. Please make sure to avoid 825:"Knowledge Representation for Mathematical Discovery - Three Experiments in Graph Theory" 237:
to find examples of Knowledge's best writing on topics similar to your proposed article.
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Proceedings of 14th International Conference on Spatial Information Theory (COSIT 2019)
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Please do not remove reviewer comments or this notice until the submission is accepted.
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Make sure your draft meets one of the criteria above before resubmitting. Learn about
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Reisinger, Joseph; Bahc Μ§eci, Erkin; Karpov, Igor; Miikkulainen, Risto (2007).
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Please note that if the issues are not fixed, the draft will be declined again.
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Passonneau, R J; Epstein, S L; Ligorio, T; Gordon, J; Bhutada, P (2010).
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Association for the Advancement of Artificial Intelligence (AAAI)
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To improve your odds of a faster review, tag your draft with relevant
1370:"COMPUTER SCIENCE ALUMNUS COMES FULL CIRCLE AS A CUNY FACULTY MEMBER" 1057:"Hierarchical Freespace Planning for Navigation in Unfamiliar Worlds" 1322: 1346: 1256:
Coronado, JE; Mniemneh, S; Epstein, SL; Qiu, WG; Lipke, PN (2007).
1031:"The Role of Knowledge and Certainty in Understanding for Dialogue" 579: 575: 453: 372: 635: 313: 24: 363: 15: 1029:
Epstein, S L; Passonneau, R J; Gordon, J; Ligorio, T (2012).
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coverage (not just passing mentions) about the subject in
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This submission's references do not show that the subject
1239:"Learning about Voice Search for Spoken Dialogue Systems" 926:"Automated Conjecturing II: Chomp and Reasoned Game Play" 1088:"Planning and Explanations with a Learned Spatial Model" 530: is a computer science professor on the faculty at 702:"Prof. Susan Epstein Elected to AAAI Executive Council" 336: 325: 145: 112: 91:
of the subject, which cover the subject in some depth
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This draft's references do not show that the subject
570:, executive councilor and ethics chair for the  22:
Submission declined on 26 September 2024 by
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the formal tone expected of an encyclopedia article
370:Submission declined on 10 August 2024 by 35:This submission does not appear to be written in 957:"Coevolving Strategies for General Game Playing" 395:. If you need help with referencing, please see 391:sources are required so that information can be 995:Epstein, S L; Freuder, E C; Wallace, M (2005). 383:This submission is not adequately supported by 1117:"Online learning for crowd-sensitive planning" 584:Association for Computing Machinery (ACM) 542:.. She is known for her contributions to  907:"SCIENCE FACULTY SPOTLIGHT: SUSAN L. EPSTEIN" 794:"The Role of Memory and Concepts in Learning" 614:, and an MS and PhD in computer science from 8: 997:"Learning to Support Constraint Programmers" 863:International Journal of Intelligent Systems 188:– a basic overview on how to edit Knowledge. 856:"On the Discovery of Mathematical Concepts" 602:. She earned a BA in mathematics from 497: 1394:AfC submissions by date/25 September 2024 1345: 1338:Journal of Digital Landscape Architecture 1281: 1099: 720:"Susan Epstein Coordinator for Education" 520:https://www.cs.hunter.cuny.edu/~epstein/ 45:independent, reliable, published sources 651: 564:knowledge representation and reasoning 438:guidelines on the notability of people 243:Improving your odds of a speedy review 823:Epstein, S L; Sridharan, N S (1991). 634:Epstein is best known for developing 7: 1220:"The tricky ethics of AI in the lab" 1170:"Wanted: Collaborative Intelligence" 1399:AfC submissions by date/06 May 2024 186:Knowledge:Contributing to Knowledge 39:. Entries should be written from a 1218:Mullin, Rick (18 September 2023). 1155:10.1111/j.1467-8640.1988.tb00089.x 218:– make sure your article includes 14: 1419:AfC submissions on living persons 408:qualifies for a Knowledge article 210:Knowledge:Writing better articles 58:. In summary, the draft needs to 56:qualifies for a Knowledge article 43:, and should refer to a range of 1086:Epstein, S L; Korpan, R (2019). 1055:Epstein, S L; Korpan, R (2021). 1016:10.1111/j.1467-8640.2005.00277.x 566:. She has been the chair of the 490:) 12:39, 26 September 2024 (UTC) 474: 141:editing or submitting your draft 65:eight academic-specific criteria 1224:Chemical & Engineering News 1115:Epstein, SL; Korpan, R (2018). 556:computational cognitive science 540:The City University of New York 110:If you need extra help, please 198:Help:Referencing for beginners 1: 1038:Advances in Cognitive Systems 706:CUNY Hunter College Pressroom 212:– how to improve your article 206:– how to develop your article 204:Knowledge:Article development 1409:Draft articles on literature 1243:Proceedings of NACL-HLT-2010 1199:Shawwa, Hani (9 June 2014). 1186:10.1016/j.artint.2014.12.006 1101:10.4230/LIPIcs.COSIT.2019.22 606:, an MS in mathematics from 151:at the AfC Help Desk or get 118:at the AfC Help Desk or get 628:City University of New York 495:American computer scientist 410:β€”that is, they do not show 231:Knowledge:Featured articles 200:– how to include references 1435: 1143:Computational Intelligence 1004:Computational Intelligence 889:"Directory: Susan Epstein" 1124:Proceedings of AAMAS-2018 1073:10.1609/icaps.v31i1.16015 1061:Proceedings of ICAPS-2021 568:Cognitive Science Society 397:Referencing for beginners 124:from experienced editors. 51:that promote the subject. 594:Early life and education 436:of the subject (see the 324:21 hours ago. Reviewer: 1404:Draft articles on women 1174:Artificial Intelligence 972:10.1109/CIG.2007.368115 544:artificial intelligence 235:Knowledge:Good articles 216:Knowledge:Verifiability 194:– how to use the markup 1414:Draft articles on STEM 875:10.1002/int.4550030205 588:special interest group 560:cognitive architecture 466: 357: 270:Add tags to your draft 179:How to improve a draft 162:feedback on your draft 854:Epstein, S L (1988). 792:Epstein, S L (1992). 773:Epstein, S L (1983). 760:CUNY Academic Commons 608:The Courant Institute 465: 356: 41:neutral point of view 1374:CUNY Graduate Center 1168:Epstein, SL (2015). 1137:Epstein, SL (1988). 942:10.1613/jair.1.12188 911:CUNY Graduate Center 829:Applied Intelligence 684:"Susan Lynn Epstein" 598:Epstein was born in 229:You can also browse 170:relevant WikiProject 1274:10.1128/EC.00044-07 913:. 14 December 2020. 688:ACM Digital Library 626:Epstein joined the 622:Career and research 612:New York University 536:The Graduate Center 223:third-party sources 1356:10.14627/537740028 841:10.1007/BF00117743 810:10.1007/BF02454222 798:Minds and Machines 779:Rutgers University 756:"Susan L. Epstein" 664:scholar.google.com 660:"Susan L. Epstein" 616:Rutgers University 511:Rutgers University 467: 358: 317: 21 hours ago. 981:978-1-4244-0709-5 738:"Susan L Epstein" 552:cognitive science 525: 524: 471: 470: 458: 457: 47 days ago. 451: Declined by 446:mistakes to avoid 430:sources that are 362: 361: 348: 347: 329: 318: 311: Declined by 147:ask us a question 139:If you need help 134:Where to get help 114:ask us a question 97:mistakes to avoid 1426: 1378: 1377: 1366: 1360: 1359: 1349: 1333: 1327: 1326: 1302: 1296: 1295: 1285: 1253: 1247: 1246: 1234: 1228: 1227: 1215: 1209: 1208: 1196: 1190: 1189: 1165: 1159: 1158: 1134: 1128: 1127: 1121: 1112: 1106: 1105: 1103: 1083: 1077: 1076: 1052: 1046: 1045: 1035: 1026: 1020: 1019: 1001: 992: 986: 985: 961: 952: 946: 945: 921: 915: 914: 903: 897: 896: 885: 879: 878: 860: 851: 845: 844: 820: 814: 813: 789: 783: 782: 770: 764: 763: 752: 746: 745: 734: 728: 727: 716: 710: 709: 698: 692: 691: 680: 674: 673: 671: 670: 656: 548:machine learning 528:Susan L. Epstein 502:Susan L. Epstein 498: 481: 478: 477: 456: 450: 444:and learn about 385:reliable sources 381: 375: 364: 341: 339: 332: 331: 319: 316: 310: 280:Editor resources 274: 272: 261:Women scientists 150: 117: 62:meet any of the 33: 27: 16: 1434: 1433: 1429: 1428: 1427: 1425: 1424: 1423: 1384: 1383: 1382: 1381: 1376:. 7 March 2024. 1368: 1367: 1363: 1335: 1334: 1330: 1323:10.1145/3605215 1304: 1303: 1299: 1268:(12): 2269–77. 1262:Eukaryotic Cell 1255: 1254: 1250: 1236: 1235: 1231: 1217: 1216: 1212: 1198: 1197: 1193: 1167: 1166: 1162: 1136: 1135: 1131: 1119: 1114: 1113: 1109: 1085: 1084: 1080: 1054: 1053: 1049: 1033: 1028: 1027: 1023: 999: 994: 993: 989: 982: 959: 954: 953: 949: 923: 922: 918: 905: 904: 900: 887: 886: 882: 858: 853: 852: 848: 822: 821: 817: 791: 790: 786: 772: 771: 767: 754: 753: 749: 736: 735: 731: 718: 717: 713: 700: 699: 695: 682: 681: 677: 668: 666: 658: 657: 653: 648: 624: 596: 508:Alma mater 503: 496: 493: 479: 475: 452: 449: 404: 371: 369: 349: 337: 335: 320:Last edited by 312: 309: 308: 281: 277: 276: 275: 268: 266: 244: 240: 239: 227: 180: 176: 175: 144: 135: 131: 130: 111: 100: 92: 59: 52: 23: 21: 12: 11: 5: 1432: 1430: 1422: 1421: 1416: 1411: 1406: 1401: 1396: 1386: 1385: 1380: 1379: 1361: 1328: 1297: 1248: 1229: 1210: 1191: 1160: 1129: 1107: 1078: 1047: 1021: 1010:(4): 337–371. 987: 980: 947: 916: 898: 880: 869:(2): 167–178. 846: 815: 804:(3): 239–265. 784: 765: 747: 729: 711: 693: 675: 650: 649: 647: 644: 623: 620: 595: 592: 532:Hunter College 523: 522: 517: 513: 512: 509: 505: 504: 501: 494: 492: 491: 469: 468: 459: 442:technical help 405: 401:Citing sources 382: 367: 360: 359: 350: 346: 345: 342: 330: 307: 306: 282: 279: 278: 265: 245: 242: 241: 226: 225: 213: 207: 201: 195: 189: 182: 181: 178: 177: 174: 173: 158: 136: 133: 132: 129: 128: 125: 108: 105: 101: 94: 93: 73:cite multiple 68: 53: 34: 19: 13: 10: 9: 6: 4: 3: 2: 1431: 1420: 1417: 1415: 1412: 1410: 1407: 1405: 1402: 1400: 1397: 1395: 1392: 1391: 1389: 1375: 1371: 1365: 1362: 1357: 1353: 1348: 1343: 1339: 1332: 1329: 1324: 1320: 1316: 1312: 1308: 1301: 1298: 1293: 1289: 1284: 1279: 1275: 1271: 1267: 1263: 1259: 1252: 1249: 1244: 1240: 1233: 1230: 1225: 1221: 1214: 1211: 1206: 1202: 1195: 1192: 1187: 1183: 1179: 1175: 1171: 1164: 1161: 1156: 1152: 1148: 1144: 1140: 1133: 1130: 1125: 1118: 1111: 1108: 1102: 1097: 1093: 1089: 1082: 1079: 1074: 1070: 1066: 1062: 1058: 1051: 1048: 1043: 1039: 1032: 1025: 1022: 1017: 1013: 1009: 1005: 998: 991: 988: 983: 977: 973: 969: 965: 958: 951: 948: 943: 939: 935: 931: 927: 920: 917: 912: 908: 902: 899: 894: 890: 884: 881: 876: 872: 868: 864: 857: 850: 847: 842: 838: 834: 830: 826: 819: 816: 811: 807: 803: 799: 795: 788: 785: 780: 776: 769: 766: 761: 757: 751: 748: 743: 742:Research Gate 739: 733: 730: 725: 724:CBMM, NSF STC 721: 715: 712: 707: 703: 697: 694: 689: 685: 679: 676: 665: 661: 655: 652: 645: 643: 639: 637: 632: 629: 621: 619: 617: 613: 609: 605: 604:Smith College 601: 593: 591: 589: 585: 581: 577: 573: 569: 565: 561: 557: 553: 549: 545: 541: 537: 533: 529: 521: 518: 514: 510: 506: 499: 489: 485: 473: 472: 464: 460: 455: 447: 443: 439: 435: 434: 429: 428: 423: 422: 417: 413: 409: 402: 398: 394: 390: 386: 379: 374: 368: 366: 365: 355: 351: 343: 340: 334: 333: 327: 326:Inform author 323: 315: 305: 304:Fix bare URLs 302: 299: 295: 291: 287: 284: 283: 273: 271: 264: 262: 258: 254: 250: 238: 236: 232: 224: 221: 217: 214: 211: 208: 205: 202: 199: 196: 193: 192:Help:Wikitext 190: 187: 184: 183: 171: 167: 163: 159: 156: 155: 149: 148: 142: 138: 137: 126: 123: 122: 116: 115: 109: 106: 103: 102: 98: 90: 89: 84: 83: 78: 77: 72: 69: 67: 66: 61: 60: 57: 50: 49:peacock terms 46: 42: 38: 31: 26: 20: 18: 17: 1373: 1364: 1337: 1331: 1317:(2): 22–29. 1314: 1310: 1300: 1265: 1261: 1251: 1242: 1232: 1223: 1213: 1204: 1194: 1177: 1173: 1163: 1149:(1): 42–53. 1146: 1142: 1132: 1123: 1110: 1091: 1081: 1064: 1060: 1050: 1041: 1037: 1024: 1007: 1003: 990: 963: 950: 933: 929: 919: 910: 901: 892: 883: 866: 862: 849: 832: 828: 818: 801: 797: 787: 778: 768: 759: 750: 741: 732: 723: 714: 705: 696: 687: 678: 667:. 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Index

Tavantius
talk
the formal tone expected of an encyclopedia article
neutral point of view
independent, reliable, published sources
peacock terms
qualifies for a Knowledge article
eight academic-specific criteria
reliable
secondary
independent
mistakes to avoid
ask us a question
live help
ask us a question
live help
talk page
relevant WikiProject
Knowledge:Contributing to Knowledge
Help:Wikitext
Help:Referencing for beginners
Knowledge:Article development
Knowledge:Writing better articles
Knowledge:Verifiability
reliable
third-party sources
Knowledge:Featured articles
Knowledge:Good articles
WikiProject
Add tags to your draft

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