Social Algorithms 6.0 AA Visiting School Seoul
16-24 July 2018
Andrew Kurniawan- Yin Hui Mao - Girvan C Tenggono - Jia Shun Xu
ALGORITHM Gradual step by step process to achieve a certain goal through series of commands.
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 2 /53
INT R O D U C TI ON
NO
IF YES
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 3 /53
INT R O D U C TI ON
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 4 /53
INT R O D U C TI ON
Aggregating the city as a building as a social machine.
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 5 /53
AGGREGATED CITY Exploring verticality as a mean towards aggregation.
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 6 /53
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 7 /53
P R O CE S S
M A P
OBSERVATION PREVALENCE
SET PARAMETER FIXED VALUE 1 3_PLANES
EXPLORATION
DISCOVERY
CONTROL VALUE 1 PRIMARY_ANGLE
Z
X
PROPOSAL
FIXED VALUE 2 2_ANGLES
X
Y
CONTROL VALUE 2 SECONDARY_ANGLE
Z
3D ITERATIONS
Z
Y
FIXED VALUE 3 100_PLANE_UNIT
X
Y
CONTROL VALUE 3 VOLUME
Z
X
SECTION ITERATIONS
Z
Y
X
PROPOSAL
Z
Y
X
Y
CONTROL VALUE 4 XY_AXIS
Z
X
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
Y
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 8 /53
O B S ERVAT I ON
|
PROPOS E D
VERTIC AL ITY
PREVALENCE
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
PROPOSAL
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 9 /53
P A RA ME T E RS
|
G E NERATE D
RULE
S E T
FIXED VALUE 1
FIXED VALUE 2
FIXED VALUE 3
3 _PLA NES
2 _ A NG L E S
1 0 0 _ P L AN E _ U N I T
Z
X
Z
Y
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
X
Z
Y
X
Y
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 10 /53
EXP L O RAT I ON
|
C ONTROL
VALUE S CONTROL VALUE 1 P R IMAR Y _ ANG L E
CONTROL VALUE 2
a
S E C OND A RY_ A NG L E
b
Z
Z
X
Y
X
CONTROL VALUE 3
Y
CONTROL VALUE 4
VOLU ME d
XY_ A XI S
g
Z Z X X
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
Y
Y
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 11 /53
|
VE RTIC AL
C IRC ULATIO N
150°
160°
170°
180°
EXP L O RAT I ON
X
Pin Joint Rotation
a x
b
x
70°
b
10°
20°
30°
40°
50°
60°
x
80°
90°
100°
110°
120°
< P R I MA R Y _ A N G LE + S E C O N D A R Y _ A N G LE >
130°
140°
Unit Rotation
10°
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
20°
30°
40°
50°
60°
70°
80°
90°
100°
110°
120°
130°
140°
150°
160°
170°
180°
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 12 /53
< P R I MA R Y _ A N G LE + S E C O N D A R Y _ A N G LE >
An initial exploration on how would volumes interact within the given parameter, and how users could interact with the generated volumes..
10°
20°
30°
40°
50°
60°
70°
80°
90°
100°
110°
120°
130°
Further explorations are not done using speheres since the shapes does not generate as much quality as the final chosen shape (cuboidal shape).
170°
VOLUME
160°
SPHERICAL
180°
VOLUME
150°
|
140°
EXP L O RAT I ON
10°
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
20°
30°
40°
50°
60°
70°
80°
90°
100°
110°
120°
130°
140°
150°
160°
170°
180°
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 13 /53
EXP L ORAT I ON
|
VOLUME
20°
CUBOID
VOLUME
0°
< PR I M AR Y_AN G LE + S E C O N D A R Y _ A N G LE >
It is discovered that iterations at mass 30 were to small. Thus we increased it to 75 to see the overlapping spatial qualities that is formed from these curves.
20°
d = 30
0°
0°
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
20°
40°
60°
80°
100°
120°
140°
160°
180°
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 14 /53
EXP L O RAT I ON
|
KE Y
PERFORMANC E
INDE X
AESTHETIC
FABRICATIBILITY
Aesthetics
Aesthetics Fabricatibility
Fabricatibility
Aesthetics
Aesthetics Fabricatibility
Fabricatibility
STRUCTURAL
Aesthetics
Aesthetics Fabricatibility
SPATIAL QUALITY
Fabricatibility
KEY PERFORMANCE INDEX
Introduced as a index to analyse the chosen iteration.
Structural
ACCESSIBILITY
Structural Spatial Quallity
Spatial Quallity POTENTIAL
Structural
Structural Spatial Quallity
Spatial Quallity
Structural
Structural Spatial Quallity
Spatial Quallity
Accessibility
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
Accessibility Potential
Potential AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 15 /53
EXP L O RAT I ON
|
VOLUME
CUBOID
VOLUME
d = 75
< P R I MARY _ AN GL E + SE CON D ARY _ AN G L E + VOL U M E >
d = 75
d = 75
0°
10°
20°
30°
40°
50°
60°
70°
80°
90°
b
0°
10°
20°
30°
40°
50°
60°
70°
80°
90°
100°
110°
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
120°
130°
140°
150°
160°
170°
180°
190°
200°
210°
220°
230°
240°
250°
260°
270°
280°
290°
300°
310°
320°
330°
340°
350°
a
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 16 /53
EXP L O RAT I ON
|
VOLUME
CUBOID
VOLUME
d = 100
< P R I MARY _ AN GL E + SE CON D ARY _ AN G L E + VOL U M E >
d = 75
d = 75
0°
10°
20°
30°
40°
50°
60°
70°
80°
90°
b
0°
10°
20°
30°
40°
50°
60°
70°
80°
90°
100°
110°
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
120°
130°
140°
150°
160°
170°
180°
190°
200°
210°
220°
230°
240°
250°
260°
270°
280°
290°
300°
310°
320°
330°
340°
350°
a
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 17 /53
D I S C O V E RY
| SELECTED V O L U ITERATIONS ME
VARIABLE: VOLUME OF UNIT X=75 ; Y=75 ; Z=100 (α,β) (50,90)
(60,90)
(70,90)
(50,80)
(60,80)
(70,80)
(50,70)
(60,70)
(70,70)
ITERATION (60,80)
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 18 /53
D I S C O V E RY
|
V OLUME
ITERATION (60,80) AESTHETIC
Aesthetics
Structural
Fabricatibility
Spatial Quallity
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
ACCESSIBILITY
STRUCTURAL
SPATIAL QUALITY
POTENTIAL
FABRICATIBILITY
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 19 /53
D I S C O V E RY
|
V SELECTED O L U M ITERATIONS E
VARIABLE: VOLUME OF UNIT X=75 ; Y=75 ; Z=100 (α,β) (290,50)
(300,50)
(310,50)
(290,40)
(300,40)
(310,40)
(290,30)
(300,30)
(310,30)
ITERATION (300,40)
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 20 /53
D I S C O V E RY
|
V OLUME
ITERATION (300,40) AESTHETIC
Aesthetics
Structural
Fabricatibility
Spatial Quallity
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
ACCESSIBILITY
STRUCTURAL
SPATIAL QUALITY
POTENTIAL
FABRICATIBILITY
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 21 /53
EXP L O RAT I ON
|
VOLUME
CUBOID
VOLUME
d = 75
< P R I MARY _ AN GL E + SE CON D ARY _ AN G L E + VOL U M E >
d = 75
d = 100
0°
10°
20°
30°
40°
50°
60°
70°
80°
90°
b
0°
10°
20°
30°
40°
50°
60°
70°
80°
90°
100°
110°
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
120°
130°
140°
150°
160°
170°
180°
190°
200°
210°
220°
230°
240°
250°
260°
270°
280°
290°
300°
310°
320°
330°
340°
350°
a
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 22 /53
D I S C O V E RY
| SELECTED V O L UITERATIONS ME
VARIABLE: VOLUME OF UNIT X=100 ; Y=75 ; Z=75
(α,β) (70,20)
(80,20)
(90,20)
(70,10)
(80,10)
(90,10)
(70,0)
(80,0)
(80,0)
ITERATION (80,10)
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 23 /53
D I S C O V E RY
|
V OLUME
ITERATION (80,10) AESTHETIC
Aesthetics
Structural
Fabricatibility
Spatial Quallity
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
ACCESSIBILITY
STRUCTURAL
SPATIAL QUALITY
POTENTIAL
FABRICATIBILITY
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 24 /53
D I S C O V E RY
|
V OLUME
SELECTED ITERATIONS VARIABLE: VOLUME OF UNIT X=100 ; Y=75 ; Z=75
(α,β) (140,30)
(150,30)
(160,30)
(140,20)
(150,20)
(160,20)
(140,10)
(150,10)
(160,10)
ITERATION (150,20)
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 25 /53
D I S C O V E RY
|
V OLUME
ITERATION (150,20)
Aesthetics
Structural
AESTHETIC
Fabricatibility
Spatial Quallity
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
ACCESSIBILITY
STRUCTURAL
SPATIAL QUALITY
POTENTIAL
FABRICATIBILITY
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 26 /53
D I S CO V E RY
| SELECTED V O L UITERATIONS ME
VARIABLE: VOLUME OF UNIT X=100 ; Y=75 ; Z=75
(α,β) (330,20)
(340,20)
(350,20)
(330,10)
(340,10)
(350,10)
(330,0)
(340,0)
(350,0)
ITERATION (340,0)
Unit 3 Social Aggregation and it’s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 27 /53
D I S C O V E RY
|
V OLUME
ITERATION (340,0)
Aesthetics
Structural
AESTHETIC
Fabricatibility
Spatial Quallity
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
ACCESSIBILITY
STRUCTURAL
SPATIAL QUALITY
POTENTIAL
FABRICATIBILITY
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 28 /53
EXP L O RAT I ON
|
S HIFTING
AXIS
Final Rotation
(100,75,75 block) < PR I MA R Y _ A N G LE + S E C O N D A R Y _ A N G LE + X Y _ A X I S >
x
a b
g
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 29 /53
EXP L O RAT I ON
|
RULE
S E T
E XPLORATIO N
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 30 /53
EXP L O RAT I ON
|
PROTO
-
ARC HITEC TU R E
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 31 /53
EXP L O RAT I ON
|
VOLUME
AND
VOI D
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 32 /53
EXP L O RAT I ON
|
S PATIAL
QUALITY
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 33 /53
EXP L O RAT I ON
|
S PATIAL
QUALITY
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 34 /53
P R O P OSA L
|
SI TE
ANALYSIS
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 35 /53
PR O P OS A L
|
T RANS ITION
ANALYS IS NATURE -
HAN RIVER
PUBLIC
PRIVATE
HIGH DESITY
LOW DENSITY
-
-
URBAN -
GANGNAM Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 36 /53
P RO P OSA L
|
LOGIC
C RE ATION
CONTROL VALUE 2 S E C OND A RY_ A NG L E
b
CONTROL VALUE 1 P R IMAR Y _ AN GLE
a CONTROL VALUE 4 XY_ A XI S
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
g
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 37 /53
P RO P OSA L
|
LOGIC
C RE ATION
CONTROL VALUE 3
CONTROL VALUE 4
VOLU ME d
XY_ A XI S
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
g
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 38 /53
P R O P OSA L
|
I M AGINED
Unit 3 Social Aggregation and itâ&#x20AC;&#x2122;s Physical Growth for Social Sequence | Dae Song LEE Aggregated City | Andrew KURNIAWAN. Yin Hui MAO. Girvan C TENGGONO & Jia Shun XU
AA VS Seoul 2018 Social Algorithms 6.0 | Yonsei University 39 /53
Social Algorithms 6.0 AA Visiting School Seoul
16-24 July 2018
Andrew Kurniawan- Yin Hui Mao - Girvan C Tenggono - Jia Shun Xu