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stage: live

• problemy realtime, ktore zmenia liveshow
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• :larry actor

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paper-edit suggest

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• currently suggests terms from paper

• a term can be any word

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auth

• auth: readonly access

• invite

• permission for actions

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quality

• ai driven playwright test

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>, pos="400.25,560", shape=plain, width=1.8403]; stage__live -> quality [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 4 494.18 714.95 466.88 670.21 434.51 617.16 415.78 586.46 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 410.71 578.15 419.76 584.35 412.81 581.59 415.92 586.69 415.92 \ 586.69 415.92 586.69 412.81 581.59 412.08 589.03 ", arrowhead=open, arrowsize=1.0, href="#stage__live👉 quality", pos="e,410.21,577.32 494.18,714.95 466.88,670.21 434.51,617.16 415.78,586.46", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; doubletouch_game_shooting [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 486 557.23 -1 112.5 25 -doubletouch game shooting ", fontsize=9.5, height=0.17361, href="#doubletouch_game_shooting", label=<

doubletouch game shooting

>, pos="542.25,560", shape=plain, width=1.5903]; stage__live -> doubletouch_game_shooting [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 4 542.25 714.95 542.25 665.09 542.25 604.91 542.25 576.85 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 542.25 567.07 546.75 577.07 542.25 571.1 542.25 577.07 542.25 577.07 \ 542.25 577.07 542.25 571.1 537.75 577.07 ", arrowhead=open, arrowsize=1.0, href="#stage__live👉 doubletouch_game_shooting", pos="e,542.25,566.1 542.25,714.95 542.25,665.09 542.25,604.91 542.25,576.85", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; shitshow [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 619 563.48 -1 36 8 -shitshow F 9.5 5 -Agave c 7 -#f8f8f2 t 0 T 619 551.5 -1 58.5 16 -• nieje \ dobre ", fontsize=9.5, height=0.34722, href="#shitshow", label=<

shitshow

• nieje dobre

>, pos="648.25,560", shape=plain, width=0.84028]; stage__live -> shitshow [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 7 590.1 714.99 596.58 703.04 602.85 690.71 608.25 678.75 622.91 646.28 635.29 \ 606.75 642.24 582.75 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 644.93 573.25 646.53 584.1 643.83 577.13 642.2 582.87 642.2 582.87 \ 642.2 582.87 643.83 577.13 637.88 581.65 ", arrowhead=open, arrowsize=1.0, href="#stage__live👉 shitshow", pos="e,645.2,572.32 590.1,714.99 596.58,703.04 602.85,690.71 608.25,678.75 622.91,646.28 635.29,606.75 642.24,582.75", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; user_friendly [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 697.25 669.73 -1 58.5 13 -user friendly F 9.5 5 -Agave c 7 -#f8f8f2 t 0 T 697.25 657.75 -1 130.5 \ 32 -• collect cases where its not F 9.5 5 -Agave c 7 -#f8f8f2 T 697.25 647.25 -1 9 5 -• ", fontsize=9.5, height=3.2986, href="#user_friendly", label=<

user friendly

• collect cases where its not

•

>, pos="847.25,560", shape=plain, width=4.1944]; stage__live -> user_friendly [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 4 645.51 714.95 659.23 704.48 673.55 693.55 687.95 682.56 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 695.66 676.68 690.44 686.32 692.46 679.12 687.71 682.74 687.71 \ 682.74 687.71 682.74 692.46 679.12 684.98 679.17 ", arrowhead=open, arrowsize=1.0, href="#stage__live👉 user_friendly", pos="e,696.44,676.09 645.51,714.95 659.23,704.48 673.55,693.55 687.95,682.56", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; phase_Grado2 [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 1017.25 605.48 -1 54 12 -phase Grado2 F 9.5 5 -Agave c 7 -#f8f8f2 t 0 T 1017.25 593.5 -1 72 19 \ -• fix @dashboard F 9.5 5 -Agave c 7 -#f8f8f2 T 1047 583 -1 36 11 -• mozaic F 9.5 5 -Agave c 7 -#f8f8f2 T 1093.5 572.5 -1 \ 81 21 -• mozaic as sankey F 9.5 5 -Agave c 7 -#f8f8f2 T 1155.94 562 -1 40.5 12 -• time in F 9.5 5 -Agave c 7 -#f8f8f2 T 1155.94 \ 551.5 -1 58.5 16 -• location in F 9.5 5 -Agave c 7 -#f8f8f2 T 1047 541 -1 81 21 -• config as dialog F 9.5 5 -Agave c 7 -#f8f8f2 \ T 1017.25 530.5 -1 144 35 -• heading changes -- broken-refs F 9.5 5 -Agave c 7 -#f8f8f2 T 1045.25 520 -1 162 39 -• intelligent \ recursive/deep fixing? F 9.5 5 -Agave c 7 -#f8f8f2 T 1017.25 508.98 -1 184.5 44 -• zlepsit @link completion? teraz pouzija F \ 9.5 5 -Agave c 7 -#ff79c6 T 1201.75 508.98 -1 13.5 5 - ; ", fontsize=9.5, height=1.5139, href="#phase_Grado2", label=<

phase Grado2

• fix @dashboard

• mozaic

• mozaic as sankey

			• time in
			• location in

• config as dialog

• heading changes -- broken-refs

• intelligent recursive/deep fixing?

• zlepsit @link completion? teraz pouzija ;

>, pos="1116.2,560", shape=plain, width=2.7778]; stage__live -> phase_Grado2 [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 7 752.7 768.37 836.16 751.68 930.35 724.14 1007.25 678.75 1031.5 664.44 1053.59 \ 643.07 1071.45 622.45 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 1077.71 615.04 1074.69 625.58 1075.11 618.12 1071.26 622.68 1071.26 \ 622.68 1071.26 622.68 1075.11 618.12 1067.82 619.78 ", arrowhead=open, arrowsize=1.0, href="#stage__live👉 phase_Grado2", pos="e,1078.3,614.29 752.7,768.37 836.16,751.68 930.35,724.14 1007.2,678.75 1031.5,664.44 1053.6,643.07 1071.5,622.45", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; stage__next [_ldraw_="F 19 5 -Agave c 7 -#f8f8f2 t 1 T 1292.12 837.2 -1 107.25 11 -stage: next F 19 5 -Agave c 7 -#f8f8f2 t 0 T 1292.12 818.5 -1 224.25 \ 26 -• voting (@link voting) F 19 5 -Agave c 7 -#f8f8f2 T 1292.12 799 -1 136.5 17 -• transclusion F 19 5 -Agave c 7 -#f8f8f2 \ T 1292.12 779.5 -1 97.5 13 -• security F 19 5 -Agave c 7 -#f8f8f2 T 1292.12 760 -1 204.75 24 -• define fs structure F 19 5 \ -Agave c 7 -#f8f8f2 T 1341.12 740.5 -1 146.25 18 -• uri structure ", fontsize=19, height=1.6806, href="#stage__next", label=<

stage: next

• voting (@link voting)

• transclusion

• security

• define fs structure

• uri structure

>, pos="1404.2,794.75", shape=plain, width=3.1424]; api_access [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 1235.25 573.98 -1 45 10 -api access F 9.5 5 -Agave c 7 -#f8f8f2 t 0 T 1235.25 562 -1 36 11 -• search \ F 9.5 5 -Agave c 7 -#f8f8f2 T 1235.25 551.5 -1 54 15 -• meditation F 9.5 5 -Agave c 7 -#f8f8f2 T 1235.25 541 -1 40.5 12 -• more... ", fontsize=9.5, height=0.63889, href="#api_access", label=<

api access

• search

• meditation

• more...

>, pos="1262.2,560", shape=plain, width=0.77778]; stage__next -> api_access [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 7 1341.81 734.29 1326.64 717.44 1311.56 698.33 1300.25 678.75 1284.79 651.97 \ 1274.7 618.08 1268.83 593.54 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 1266.64 583.93 1273.25 592.68 1267.54 587.85 1268.86 593.68 1268.86 \ 593.68 1268.86 593.68 1267.54 587.85 1264.47 594.68 ", arrowhead=open, arrowsize=1.0, href="#stage__next👉 api_access", pos="e,1266.4,582.98 1341.8,734.29 1326.6,717.44 1311.6,698.33 1300.2,678.75 1284.8,651.97 1274.7,618.08 1268.8,593.54", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; downgrade__upgrade [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 1309.75 589.73 -1 76.5 17 -downgrade/upgrade F 9.5 5 -Agave c 7 -#f8f8f2 t 0 T 1309.75 577.75 \ -1 171 41 -• from sqlite ast-lake to files, with F 9.5 5 -Agave c 7 -#f8f8f2 T 1377.25 567.25 -1 36 8 -metadata F 9.5 5 -Agave \ c 7 -#f8f8f2 T 1309.75 556.75 -1 162 39 -• from files to ast-lake, including F 9.5 5 -Agave c 7 -#f8f8f2 T 1372.75 546.25 -1 \ 36 8 -metadata F 9.5 5 -Agave c 7 -#f8f8f2 T 1309.75 535.75 -1 189 45 -• downgrade can have a filter: refactoring F 9.5 5 -Agave \ c 7 -#f8f8f2 T 1309.75 525.25 -1 108 27 -• has great value for AI ", fontsize=9.5, height=1.0764, href="#downgrade__upgrade", label=<

downgrade/upgrade

• from sqlite ast-lake to files, with
metadata

• from files to ast-lake, including
metadata

• downgrade can have a filter: refactoring

• has great value for AI

>, pos="1404.2,560", shape=plain, width=2.6528]; stage__next -> downgrade__upgrade [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 4 1404.25 734.42 1404.25 695.72 1404.25 645.85 1404.25 609.53 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 1404.25 599.7 1408.75 609.7 1404.25 603.72 1404.25 609.7 1404.25 \ 609.7 1404.25 609.7 1404.25 603.72 1399.75 609.7 ", arrowhead=open, arrowsize=1.0, href="#stage__next👉 downgrade__upgrade", pos="e,1404.2,598.72 1404.2,734.42 1404.2,695.72 1404.2,645.85 1404.2,609.53", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; reflect [_ldraw_="F 9.5 5 -Agave c 7 -#f8f8f2 t 1 T 1519 596.48 -1 31.5 7 -reflect F 9.5 5 -Agave c 7 -#f8f8f2 t 0 T 1519 584.5 -1 72 19 -• alt \ player app F 9.5 5 -Agave c 7 -#f8f8f2 T 1519 574 -1 175.5 42 -• naco nam to je ked je to to iste ako F 9.5 5 -Agave c 7 -#f8f8f2 \ T 1586.5 563.5 -1 40.5 9 -repolero? F 9.5 5 -Agave c 7 -#f8f8f2 T 1519 553 -1 99 25 -• look for inspiration F 9.5 5 -Agave c \ 7 -#f8f8f2 T 1539 542.5 -1 184.5 44 -• (@link ondro resource human-ressources) F 9.5 5 -Agave c 7 -#f8f8f2 T 1519 532 -1 72 19 \ -• focus on ....? F 9.5 5 -Agave c 7 -#f8f8f2 T 1519 518.5 -1 140.25 35 -• 【Actors and views (in order) ", fontsize=9.5, height=1.2639, href="#reflect", label=<

reflect

• alt player app

• naco nam to je ked je to to iste ako
repolero?

• look for inspiration

• (@link ondro resource human-ressources)

• focus on ....?

• 【Actors and views (in order)

>, pos="1621.2,560", shape=plain, width=2.8681]; stage__next -> reflect [_draw_="S 15 -setlinewidth(2) S 7 -tapered c 9 -#fffffe00 C 7 -#797976 P 42 1469.02 724.28 1474.51 718.46 1480.11 712.53 1485.79 706.51 \ 1491.54 700.42 1497.34 694.27 1503.19 688.08 1509.06 681.85 1514.95 675.62 1520.82 669.4 1526.68 663.19 1532.5 657.02 1538.27 650.91 \ 1543.98 644.86 1549.61 638.9 1555.14 633.04 1560.55 627.3 1565.85 621.7 1571 616.24 1575.99 610.95 1580.81 605.84 1579.35 604.48 \ 1574.59 609.64 1569.66 615 1564.58 620.51 1559.36 626.19 1554.01 631.99 1548.55 637.92 1543 643.95 1537.37 650.06 1531.67 656.25 \ 1525.93 662.49 1520.15 668.76 1514.34 675.06 1508.54 681.37 1502.74 687.66 1496.97 693.92 1491.24 700.15 1485.57 706.31 1479.96 \ 712.4 1474.44 718.39 1469.02 724.28 ", _tdraw_="S 15 -setlinewidth(2) S 5 -solid c 7 -#797976 C 7 -#797976 P 4 1468.98 724.32 1467.82 731.44 1460.8 733.1 1461.96 725.98 ", arrowsize=1.0, arrowtail=diamond, constrained=false, dir=back, href="#stage__next@1👉 reflect@1", penwidth=2, pos="s,1459.6,734.42 1469,724.28 1505,685.66 1548.7,638.76 1580.1,605.16", reverse=false, style=tapered, tooltip="*= consistsOf", type=consistsOf]; focus_on_postproduction [_ldraw_="F 4.75 5 -Agave c 7 -#f8f8f2 t 1 T 1253.25 400.74 -1 51.75 23 -focus on postproduction F 4.75 5 -Agave c 7 -#f8f8f2 t 0 T 1253.25 \ 393.25 -1 4.5 5 -• F 4.75 5 -Agave c 7 -#f8f8f2 T 1253.25 388 -1 72 35 -• mastergraph educed from voting F 4.75 5 -Agave \ c 7 -#f8f8f2 T 1396.38 382.75 -1 33.75 18 -• matrix layout F 4.75 5 -Agave c 7 -#f8f8f2 T 1396.38 377.5 -1 33.75 18 -• links \ dynamic ", fontsize=4.75, height=3.2257, href="#focus_on_postproduction", label=<

focus on postproduction

•

• mastergraph educed from voting

	• matrix layout
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>, pos="1403.2,289.12", shape=plain, width=4.1944]; reflect -> focus_on_postproduction [_draw_="S 17 -setlinewidth(0.8) S 6 -dashed c 7 -#797976 B 4 1585.25 514.6 1562.71 486.8 1532.46 449.49 1503.1 413.27 ", _hdraw_="S 17 -setlinewidth(0.8) S 5 -solid c 7 -#797976 C 7 -#797976 P 8 1497.07 405.84 1506.86 410.77 1499.6 408.97 1503.37 413.61 1503.37 \ 413.61 1503.37 413.61 1499.6 408.97 1499.87 416.44 ", arrowhead=open, arrowsize=1.0, href="#reflect👉 focus_on_postproduction", pos="e,1496.5,405.08 1585.3,514.6 1562.7,486.8 1532.5,449.49 1503.1,413.27", reverse=false, style=dashed, tooltip="-> isAnInputTo", type=isAnInputTo]; focus_on_layout [_ldraw_="F 4.75 5 -Agave c 7 -#f8f8f2 t 1 T 1573.25 318.11 -1 33.75 15 -focus on layout F 4.75 5 -Agave c 7 -#f8f8f2 t 0 T 1573.25 310.62 \ -1 40.5 21 -• layout based on: F 4.75 5 -Agave c 7 -#f8f8f2 T 1593.25 305.38 -1 15.75 10 -• links F 4.75 5 -Agave c 7 -#f8f8f2 \ T 1633.25 300.12 -1 36 19 -• ontology first F 4.75 5 -Agave c 7 -#f8f8f2 T 1593.25 294.88 -1 33.75 18 -• size by score F 4.75 \ 5 -Agave c 7 -#f8f8f2 T 1573.25 289.62 -1 22.5 13 -• must be: F 4.75 5 -Agave c 7 -#f8f8f2 T 1605.38 284.38 -1 51.75 26 -• stable \ and predictive F 4.75 5 -Agave c 7 -#f8f8f2 T 1605.38 279.12 -1 45 23 -• good for fast read F 4.75 5 -Agave c 7 -#f8f8f2 T 1605.38 \ 273.88 -1 22.5 13 -• and edit F 4.75 5 -Agave c 7 -#f8f8f2 T 1573.25 268.62 -1 18 11 -• ideas: F 4.75 5 -Agave c 7 -#f8f8f2 \ T 1595.25 263.38 -1 72 35 -• sankey like tapering of trails F 4.75 5 -Agave c 7 -#f8f8f2 T 1573.25 258.12 -1 69.75 34 -• sectors \ could be freely moved ", fontsize=4.75, height=0.93056, href="#focus_on_layout", label=<

focus on layout

• layout based on:

• links

• ontology first

• size by score

• must be:

	• stable and predictive
	• good for fast read
	• and edit

• ideas:

• sankey like tapering of trails

• sectors could be freely moved

>, pos="1621.2,289.12", shape=plain, width=1.3611]; reflect -> focus_on_layout [_draw_="S 15 -setlinewidth(2) S 7 -tapered c 9 -#fffffe00 C 7 -#797976 P 42 1621.25 500.59 1621.3 492.21 1621.35 483.51 1621.4 474.52 1621.45 \ 465.29 1621.5 455.87 1621.55 446.3 1621.61 436.63 1621.66 426.91 1621.72 417.17 1621.77 407.47 1621.83 397.84 1621.88 388.35 1621.93 \ 379.02 1621.98 369.91 1622.03 361.06 1622.08 352.52 1622.13 344.33 1622.17 336.54 1622.21 329.19 1622.25 322.34 1620.25 322.34 1620.29 \ 329.19 1620.33 336.54 1620.37 344.33 1620.42 352.52 1620.47 361.06 1620.52 369.91 1620.57 379.02 1620.62 388.35 1620.67 397.84 1620.73 \ 407.47 1620.78 417.17 1620.84 426.91 1620.89 436.63 1620.95 446.3 1621 455.87 1621.05 465.29 1621.1 474.52 1621.15 483.51 1621.2 \ 492.21 1621.25 500.59 ", _tdraw_="S 15 -setlinewidth(2) S 5 -solid c 7 -#797976 C 7 -#797976 P 4 1621.25 500.8 1625.25 506.8 1621.25 512.8 1617.25 506.8 ", arrowsize=1.0, arrowtail=diamond, constrained=false, dir=back, href="#reflect👉 focus_on_layout", penwidth=2, pos="s,1621.2,514.6 1621.2,500.59 1621.2,445.94 1621.2,366.32 1621.2,322.34", reverse=false, style=tapered, tooltip="*= consistsOf", type=consistsOf]; focus_on_facet [_ldraw_="F 4.75 5 -Agave c 7 -#f8f8f2 t 1 T 1689 304.99 -1 31.5 14 -focus on facet F 4.75 5 -Agave c 7 -#f8f8f2 t 0 T 1689 297.5 -1 31.5 \ 17 -• 3d reduction F 4.75 5 -Agave c 7 -#f8f8f2 T 1689 292.25 -1 94.5 45 -• what is the motivation of the fast read? F 4.75 \ 5 -Agave c 7 -#f8f8f2 T 1689 287 -1 76.5 37 -• voting, campaign, matrix, layout F 4.75 5 -Agave c 7 -#f8f8f2 T 1723.75 281.75 \ -1 45 23 -• make it into links F 4.75 5 -Agave c 7 -#f8f8f2 T 1689 276.5 -1 29.25 16 -• perspective F 4.75 5 -Agave c 7 -#\ f8f8f2 T 1689 271.25 -1 4.5 5 -• ", fontsize=4.75, height=0.56597, href="#focus_on_facet", label=<

focus on facet

• 3d reduction

• what is the motivation of the fast read?

• voting, campaign, matrix, layout

• make it into links

• perspective

•

>, pos="1736.2,289.12", shape=plain, width=1.3403]; reflect -> focus_on_facet [_draw_="S 15 -setlinewidth(2) S 7 -tapered c 9 -#fffffe00 C 7 -#797976 P 42 1645.71 501.82 1649.73 492.53 1653.94 482.83 1658.29 472.78 \ 1662.77 462.45 1667.34 451.9 1671.98 441.18 1676.67 430.38 1681.37 419.53 1686.05 408.72 1690.7 398 1695.27 387.44 1699.76 377.1 \ 1704.12 367.04 1708.33 357.32 1712.36 348.01 1716.19 339.18 1719.79 330.87 1723.13 323.17 1726.18 316.12 1728.92 309.8 1727.08 309.01 \ 1724.4 315.36 1721.42 322.44 1718.15 330.17 1714.63 338.51 1710.89 347.38 1706.94 356.73 1702.83 366.49 1698.56 376.59 1694.18 386.97 \ 1689.7 397.58 1685.16 408.34 1680.58 419.2 1675.98 430.08 1671.4 440.94 1666.86 451.69 1662.39 462.29 1658.01 472.66 1653.75 482.75 \ 1649.64 492.49 1645.71 501.82 ", _tdraw_="S 15 -setlinewidth(2) S 5 -solid c 7 -#797976 C 7 -#797976 P 4 1645.67 501.91 1646.99 509 1640.95 512.94 1639.63 505.85 ", arrowsize=1.0, arrowtail=diamond, constrained=false, dir=back, href="#reflect👉 focus_on_facet", penwidth=2, pos="s,1640.2,514.6 1645.7,501.82 1671.6,441.28 1711,349.09 1728,309.4", reverse=false, style=tapered, tooltip="*= consistsOf", type=consistsOf]; quest [_ldraw_="F 2.38 5 -Agave c 7 -#f8f8f2 t 1 T 1361 134.74 -1 7.5 5 -quest F 2.38 5 -Agave c 7 -#f8f8f2 t 0 T 1361 128.75 -1 54 39 -• adaptive \ questionnaire, branching F 2.38 5 -Agave c 7 -#f8f8f2 T 1361 125.75 -1 61.5 41 -survey, or computerized adaptive testing F 2.38 \ 5 -Agave c 7 -#f8f8f2 T 1382.75 122.75 -1 18 12 -(CAT) system F 2.38 5 -Agave c 7 -#f8f8f2 T 1361 117.75 -1 60 40 -The underlying \ algorithm can range from F 2.38 5 -Agave c 7 -#f8f8f2 T 1364.75 114.75 -1 52.5 35 -very simple to quite sophisticated: F 2.38 5 \ -Agave c 7 -#f8f8f2 T 1361 109.75 -1 22.5 18 -• Decision tree F 2.38 5 -Agave c 7 -#f8f8f2 T 1382.5 106.75 -1 54 39 -• Each \ answer determines which node F 2.38 5 -Agave c 7 -#f8f8f2 T 1393 103.75 -1 33 22 -(question) comes next. F 2.38 5 -Agave c 7 -#\ f8f8f2 T 1382.5 100.75 -1 61.5 44 -• Data structure: tree or directed graph. F 2.38 5 -Agave c 7 -#f8f8f2 T 1361 97.75 -1 45 \ 33 -• Directed acyclic graph (DAG) F 2.38 5 -Agave c 7 -#f8f8f2 T 1385.5 94.75 -1 54 39 -• More flexible than a tree because \ F 2.38 5 -Agave c 7 -#f8f8f2 T 1385.5 91.75 -1 55.5 37 -multiple paths can converge onto the F 2.38 5 -Agave c 7 -#f8f8f2 T 1402.75 \ 88.75 -1 21 14 -same question. F 2.38 5 -Agave c 7 -#f8f8f2 T 1385.5 85.75 -1 52.5 38 -• This is often the most practical F \ 2.38 5 -Agave c 7 -#f8f8f2 T 1400.5 82.75 -1 22.5 15 -representation. F 2.38 5 -Agave c 7 -#f8f8f2 T 1361 79.75 -1 19.5 16 -• Rule \ engine F 2.38 5 -Agave c 7 -#f8f8f2 T 1383.25 76.75 -1 48 35 -• Example rule: IF age < 18 AND F 2.38 5 -Agave c 7 -#f8f8f2 T \ 1383.25 73.75 -1 52.5 35 -owns_car = false THEN skip all car F 2.38 5 -Agave c 7 -#f8f8f2 T 1395.25 70.75 -1 28.5 19 -insurance \ questions F 2.38 5 -Agave c 7 -#f8f8f2 T 1383.25 67.75 -1 60 43 -• Data structure: set of predicates and F 2.38 5 -Agave c 7 \ -#f8f8f2 T 1404.25 64.75 -1 18 12 -transitions. F 2.38 5 -Agave c 7 -#f8f8f2 T 1383.25 61.75 -1 52.5 38 -• https:/nools?utm_source=\ chatgpt.c F 2.38 5 -Agave c 7 -#f8f8f2 T 1361 58.75 -1 27 21 -• Bayesian network F 2.38 5 -Agave c 7 -#f8f8f2 T 1381 55.75 -1 \ 55.5 40 -• Questions are selected to maximize F 2.38 5 -Agave c 7 -#f8f8f2 T 1381 52.75 -1 52.5 35 -information gain based on \ previous F 2.38 5 -Agave c 7 -#f8f8f2 T 1402.75 49.75 -1 12 8 -answers. F 2.38 5 -Agave c 7 -#f8f8f2 T 1381 46.75 -1 64.5 46 -• This \ is common in diagnostics and expert F 2.38 5 -Agave c 7 -#f8f8f2 T 1407.25 43.75 -1 12 8 -systems. F 2.38 5 -Agave c 7 -#f8f8f2 \ T 1381 40.75 -1 24 19 -• https:/bayesjs F 2.38 5 -Agave c 7 -#f8f8f2 T 1381 37.75 -1 33 25 -• https:/bayesbox.html F 2.38 \ 5 -Agave c 7 -#f8f8f2 T 1381 34.75 -1 48 35 -• https:/?utm_source=chatgpt.com F 2.38 5 -Agave c 7 -#f8f8f2 T 1381 31.75 -1 48 \ 35 -• https:/?utm_source=chatgpt.com F 2.38 5 -Agave c 7 -#f8f8f2 T 1381 28.75 -1 33 25 -• https:/overview.html F 2.38 5 -Agave \ c 7 -#f8f8f2 T 1381 25.75 -1 33 25 -• https:/bayesbox.html F 2.38 5 -Agave c 7 -#f8f8f2 T 1361 22.75 -1 46.5 34 -• Item Response \ Theory (IRT) / F 2.38 5 -Agave c 7 -#f8f8f2 T 1362.5 19.75 -1 43.5 29 -Computerized Adaptive Testing F 2.38 5 -Agave c 7 -#f8f8f2 \ T 1382.5 16.75 -1 49.5 36 -• Used in professional exams and F 2.38 5 -Agave c 7 -#f8f8f2 T 1382.5 13.75 -1 54 36 -psychometric \ testing. The algorithm F 2.38 5 -Agave c 7 -#f8f8f2 T 1382.5 10.75 -1 58.5 39 -estimates a hidden parameter (ability, F 2.38 5 \ -Agave c 7 -#f8f8f2 T 1382.5 7.75 -1 61.5 41 -personality trait, risk score, etc.) and F 2.38 5 -Agave c 7 -#f8f8f2 T 1382.5 4.75 \ -1 58.5 39 -chooses the next question that reduces F 2.38 5 -Agave c 7 -#f8f8f2 T 1397.5 1.75 -1 31.5 21 -uncertainty the most. ", fontsize=2.375, height=1.9028, href="#quest", label=<

quest

• adaptive questionnaire, branching
survey, or computerized adaptive testing
(CAT) system

The underlying algorithm can range from
very simple to quite sophisticated:

• Decision tree

	• Each answer determines which node (question) comes next.
	• Data structure: tree or directed graph.

• Directed acyclic graph (DAG)

	• More flexible than a tree because multiple paths can converge onto the same question.
	• This is often the most practical representation.

• Rule engine

	• Example rule: IF age < 18 AND owns_car = false THEN skip all car insurance questions
	• Data structure: set of predicates and transitions.
	• https:/nools?utm_source=chatgpt.c

• Bayesian network

	• Questions are selected to maximize information gain based on previous answers.
	• This is common in diagnostics and expert systems.
	• https:/bayesjs
	• https:/bayesbox.html
	• https:/?utm_source=chatgpt.com
	• https:/?utm_source=chatgpt.com
	• https:/overview.html
	• https:/bayesbox.html

• Item Response Theory (IRT) /
Computerized Adaptive Testing

• Used in professional exams and
psychometric testing. The algorithm
estimates a hidden parameter (ability,
personality trait, risk score, etc.) and
chooses the next question that reduces
uncertainty the most.

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