请问 我现在希望设计海龟死后他的财产可以以一定的比例留给后代。这些海龟如果代表的是穷人则它死后(年龄大预期值)会生出3个孩子,其生前的财产的90%均分给其孩子。若海龟是富裕的,其死后有随机1~2个孩子,财产已70%均分。请问大家如果加到下述程序中怎么实现: M, T- X) m7 U7 i% M. r
globals6 q- c+ L# S+ p/ a
[
. g) f, l; s F max-grain
o L% y4 T. Q" M1 E4 S5 q0 E' v* I3 O) f* b4 Q3 r
]/ l( ~, _, Y! n
* T# f g' J1 S- ]- w: s8 C
patches-own g- Y! B% k& \+ ^
[7 `% E0 p0 j4 G7 [ @
grain-here 7 n* _$ B' x7 J2 I6 O% G
max-grain-here
9 u/ N/ ]" n2 I, @1 M$ h: ]! L]
7 e& @! f+ A. z! j$ I
4 ]2 a: o j! M8 @/ Z# H g- Yturtles-own- U8 [3 d5 [0 t( H$ e) W; v1 g7 Q
[: ~& y) O Z+ |- n& w/ b1 }
age 6 B* k! \& `" ?
wealth
+ p0 {0 t/ r) y5 N" N- h4 ? life-expectancy 9 ]2 a1 F+ Q7 h) L( ?
metabolism
8 l+ p% q0 _. I2 Z( d! ]9 Z2 ?8 t( h vision
c) q+ n; ?6 `# _0 n inherited 4 f7 E4 P1 u. b
]
% e- E, R# T$ p0 J7 \+ s
* K; X3 r" h1 S! X& M9 ^3 q' K1 C
to setup* ^1 \ J* T4 k0 g
ca' u( h) C$ k5 B) O! q
set max-grain 50
4 }# {! P: m- b9 V! O+ ] setup-patches: K7 \% D# j$ l8 C; ~& M
setup-turtles! h; e4 X j, ]4 U$ | U1 j
setup-plots+ Y; b8 x4 d9 }( q* Q+ g
update-plots
2 `5 [2 Q7 ?4 \0 s% N' cend) M7 v4 }7 a* z. t; T: `
to setup-patches# ` T F s6 R( I: K9 F2 Q
ask patches4 |1 x5 O+ Z& v4 h
[ set max-grain-here 0
- X* r2 d! z1 [ if (random-float 100.0) <= percent-best-land/ H. g4 @' b4 s4 n
[ set max-grain-here max-grain Q+ h" V* e! T C4 o9 E2 n+ N# S u
set grain-here max-grain-here ] ]
$ Q T! {' z" N repeat 5
2 a# a& X" T' I/ S [ ask patches with [max-grain-here != 0]4 ~ {9 _* ~- A/ L( v
[ set grain-here max-grain-here ]
* [4 b9 ?; @0 z" { {" y diffuse grain-here 0.5 ]
( W5 K& ~$ w% H+ Z/ h repeat 103 J1 c D8 m" i. E$ m& S' N1 `
[ diffuse grain-here 0.5] 8 Q0 D/ b7 D" X: ?# g
ask patches% r5 [+ w4 X* I9 r
[ set grain-here floor grain-here Y7 _( q/ [1 ]+ X! O" }
set max-grain-here grain-here
+ b$ y9 w. p8 ` recolor-patch ]
- x/ m) |6 o! _. l( rend$ t( ]+ q4 Z) }9 ~1 G& u3 ~7 F
to recolor-patch , o5 _" ~5 f8 a" L/ U# `* Q4 }
set pcolor scale-color sky grain-here 0 max-grain3 K5 p, P( Y3 T, A: G1 F# R
end
6 w! i5 i/ E0 D2 S) [* z5 h" _to setup-turtles
' T5 n4 D. ]( w4 u# j/ V set-default-shape turtles "person"* b$ x+ y8 k$ Z a# R
crt num-people' L; R `1 x! X- n
[ move-to one-of patches
% o+ }8 J/ u: v6 u( U0 N4 W set size 1.5 - O2 t8 }" b* J9 q
set-initial-turtle-vars-age" Y6 z3 I( M9 G2 u- o6 B
set-initial-turtle-vars-wealth
" D& h/ K4 L$ Z. s6 i8 q set age random life-expectancy ]
$ m; n2 @. E9 D$ n recolor-turtles
0 {( G) }7 a& y; oend% W0 ?1 S! v% y- {! [
5 Q/ r' G6 h* ` \
to set-initial-turtle-vars-age
6 D1 k$ R0 }2 X% Q: D' y9 k. c( n let max-wealth max [wealth] of turtles
4 d+ Q; p9 d$ n' N& H : W- l! r/ U: a
ifelse (wealth <= max-wealth / 3)8 C# r. r R) L7 A0 n/ n2 A
[ set color red
+ Q& B, N& U% P' h: G& | set age 0) O e4 i, q) t% s
face one-of neighbors4
, l; T$ I3 I5 |4 h9 |% }! P set life-expectancy life-expectancy-min +
1 ?( c' O5 t- E random life-expectancy-max $ d: n8 _* k* Z+ M+ T; t9 S
set metabolism random 1 + metabolism-low
6 ]! v- [" D& W0 ? J+ |4 ]" g6 b' V set wealth metabolism + random 30
. A! D' T1 J5 Q& a$ g& H set vision 1 + random max-vision
3 B: n# C S3 n" F& v set wealth wealth + Wealth-inherited-low ]
' Q" o" {( z/ p+ ` [ ifelse (wealth <= (max-wealth * 2 / 3))& B5 i. O9 H. L
[ set color yellow : W# m, W* T# Y. q! G# m; V
set age 0% I& @* ]' _ ?
face one-of neighbors4
- e" I* }% x) H/ u. i set life-expectancy life-expectancy-min +
% g& m0 \! V. T/ j) U+ Z u random life-expectancy-max + 1: d" Q! u& z8 Y8 g# ?3 m! p
set metabolism 1 + random metabolism-mid% ]: Y# P* c" L- X0 u. i- q1 D1 H
set wealth metabolism + random 305 h% v3 z9 d; Q- l
set vision 3 + random max-vision
1 M3 E% l. n, @& v( P5 C2 }! n set wealth wealth + Wealth-inherited-mid]
" {) \' C- D6 \% | A& V [ set color green
6 g3 R0 ?" N+ r ? set age 0 U- ]/ H7 I8 \ K
face one-of neighbors4 7 x. Z' _" [+ E7 m/ q/ a2 S' b
set life-expectancy life-expectancy-min +
8 |. \8 W6 Q+ ^/ z3 K) } random life-expectancy-max + 2/ |0 D- Y$ |$ R* J' W
set metabolism 2 + random metabolism-up
8 p0 C4 h6 j* u- b) m" G set wealth metabolism + random 30/ C9 D/ c2 B9 m0 z
set vision 3 + random max-vision8 f& l4 U% ]& m) j8 b0 ]
set wealth wealth + Wealth-inherited-up ] ]
% X+ L3 E' d% @1 U" P6 o
! {5 O1 T- c$ z8 k$ ^- Send8 z+ F G+ G \
to set-initial-turtle-vars-wealth; T0 N* t: }, ~
let max-wealth max [wealth] of turtles F: z- l+ Z8 o7 f, \+ J8 a& [
set age 05 g9 k! s R, ?/ K8 b
face one-of neighbors4 ( K! S: u2 M( v; [
set life-expectancy life-expectancy-min +
6 [4 E7 b2 M% g2 V random life-expectancy-max
D8 _- {1 {. r+ k3 x set metabolism 1 + random metabolism-up8 Z0 \& C, F- ~; e1 h9 Q
set wealth metabolism + random 305 n: k+ @/ M6 {# f. S
set vision 1 + random max-vision
9 r1 L( A8 z' S0 I) bend
9 p$ L; U a5 H) gto redistribution
U/ [% j8 P( A- Alet max-wealth max [wealth] of turtles8 d3 c% ^+ B6 D. x7 i+ S" E
let min-wealth min [wealth] of turtles
t4 a& h* c- _' g* f* xif (wealth <= max-wealth / 3)" D$ ]9 ~9 K: j
[set wealth wealth + Low-income-protection ]& _9 \+ }* L5 R/ q1 J% n2 h
end4 B1 D3 s# P; l4 g, C+ S! m# K
8 B# ]& \ d/ u. @8 r6 xto recolor-turtles
: n3 P* j9 o3 D( d6 A5 n/ i# P let max-wealth max [wealth] of turtles1 v: G! }8 D3 n
ask turtles. W0 }9 t: Y) R+ i" y6 y. C
[ ifelse (wealth <= max-wealth / 3)4 K8 F5 C8 \4 }/ E* i5 k
[ set color red ]8 z `( k3 ]6 A2 ?% z
[ ifelse (wealth <= (max-wealth * 2 / 3))
4 M# k# n6 N4 u7 _1 U5 P0 l [ set color yellow ] {: x8 U+ S: z: |
[ set color green ] ] ]
8 g- r& m* |9 E" {; Q+ m8 ^2 K) Y) u ask turtles [ifelse show-wealth?
0 }: ]1 ^: Z/ G [ set label wealth ]; I3 y! j) q' C2 K8 ~0 G) J
[ set label "" ]]
: S3 f# u5 B7 o3 mend
( x% U' D" M% p1 Z
, A& X7 I7 c/ m2 S& n6 p" lto go1 a$ N8 J1 J5 \) t" R
ask turtles- e7 }* ?4 @' T5 \* _- E. s
[ turn-towards-grain ] # W n! L& z% C- z3 {% Q8 D
harvest: X7 \0 ]- \0 `1 p9 J) ]1 [) a
ask turtles
1 t+ }1 b1 v% D6 Y: N2 K [ move-eat-age-die ]- W% i& L5 Z' B
recolor-turtles: o3 O: ?& g2 U4 S2 B1 B
if ticks mod grain-growth-interval = 0" D" D: U! d, Y; D5 c# p1 e
[ ask patches [ grow-grain ] ]* \2 a6 Q f$ \( ]6 J5 J# R
* K* ?- b1 x; ?( A) N. O
if ticks mod 11 = 0
% j* E, d5 M) l [ask turtles
# ]# V; Q s1 ]0 q* i( \$ v' ?' C3 V @ [ redistribution ]]
( b, D- _$ S; T" _' A# b- J if ticks mod 5 = 03 F( g+ c" z4 }, c+ p
[ask turtles
& u3 O9 \7 U! p- n( @ [ visions ]]( B( Z# O2 g, e! T7 e3 k4 a
tick
0 y& P# M3 T7 \% D! D update-plots
3 d! | M! \3 ~end: { Z1 G( R1 p1 u3 Z9 h3 w
to visions
. y3 {8 E! @1 i$ U$ `' [ set vision vision + 1
1 _6 T. i; K0 q& V- xend
# G) ~1 u* y7 e; j3 Q/ w! n% Y6 R0 k( Y
- N! ?# M( d9 P. ^, F }+ }+ I
1 T) G, ^! I/ X3 b6 Sto turn-towards-grain
) `5 Y8 [! l6 a) |2 N set heading 0
: @- q8 a) z5 ?; @! D$ W let best-direction 0
0 H/ f1 D$ w: k: f let best-amount grain-ahead" ]' I' r3 C6 {
set heading 90
5 `1 M$ y5 A( a4 \+ m if (grain-ahead > best-amount), G0 h9 k) n7 s) a, h% \; X
[ set best-direction 90
6 x, L s0 t7 E( X6 A5 N set best-amount grain-ahead ]
5 K, c# T" [' m' w6 N- C set heading 1803 E i& j# L! u8 q2 m
if (grain-ahead > best-amount)! X, S, R: Q) O+ O1 V F
[ set best-direction 180
, J+ D& [: P' U* V: D7 e5 Q set best-amount grain-ahead ]
3 `/ x2 _* g' y( l I; D/ h$ q5 S set heading 270
8 `/ D9 V" J" ]. Y if (grain-ahead > best-amount)
; U7 o$ `. g9 D. j& e" U4 l5 u; h [ set best-direction 270- V8 J8 |% u. n6 ~1 ^& K
set best-amount grain-ahead ]
; E* l7 t4 u5 A4 T& ? V) \. S( i set heading best-direction
& }5 D; W" h$ \3 Y, qend
6 d. E+ J4 q7 x! _! V+ Q( p
/ W* m& F! l) b9 t2 _' i. \# W
# w1 U. Q0 D( E# _& s6 @* U+ f- wto-report grain-ahead r8 a" i" _+ s3 [. o1 d
let total 0
4 C. n! H" O; L$ g4 F let how-far 1
2 X# K2 o: G$ u. X repeat vision& w6 G- s6 w% Q8 t, |
[ set total total + [grain-here] of patch-ahead how-far
6 ^. U' m i+ }# \ set how-far how-far + 1 ]
/ k' M+ F* b$ ^# F8 t( B2 r! K report total
! }& x2 J _ W1 {0 D+ \! L2 ~end; x; e& I5 U6 u4 p i
* p0 v6 ?5 ~# H8 Qto grow-grain , [9 W# j; ^' f. P* F
if (grain-here < max-grain-here)
6 h1 ?6 W* A- e' @ [ set grain-here grain-here + num-grain-grown
( n5 J4 O% J g8 x F% h! n- A if (grain-here > max-grain-here) 5 H- e9 m9 }* v
[ set grain-here max-grain-here ] {. t' H& z) u! i
recolor-patch ]
( {+ B4 `& R0 U# |' u; Aend
0 B, q b6 Q$ z' j' @. ]% ]to harvest
3 P) E; D9 h, f: L% V0 ]7 k, k ask turtles/ r: f7 t( Q8 `* ]1 K) ~& m
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, R5 }+ R2 k! |2 @ \ ask turtles
' _( X/ p, o2 [, Q) r" E [ set grain-here 00 ^' p e- f. w
recolor-patch ]
. l) j' Z2 { b. q5 k+ V6 ?5 N1 ]
- K6 {# \4 ?/ ~1 n1 a) wend
0 W3 o" p: A& I7 G$ K- h) m! Q' w' h- D
to move-eat-age-die ! I( X+ T# e O6 X9 V! c5 E9 [1 d
fd 16 u9 f+ w; v+ X- |5 e- @
set wealth (wealth - metabolism): U& Y# z! n5 a! x* O* [
set age (age + 1)
7 O5 u4 E& R$ F( F2 V) H$ s if (age >= life-expectancy)
& z! P" g0 ]7 u7 F [ set-initial-turtle-vars-age ]
U/ j5 K3 T; @8 U$ N if (wealth < 0)
) R- J5 q2 b+ e! {+ a1 Z [ set-initial-turtle-vars-wealth ]
6 m$ ~6 C- T: q" H( L9 Q2 U
W+ Z: q6 R3 `+ Tend
2 D9 s0 N; [# h* n8 B( W+ O: E8 U; i5 U/ N0 \ ]' Y( I
$ z( K0 f4 s) y) [
to setup-plots+ a! r, ]4 n/ f2 L; a
set-current-plot "Class Plot"1 K2 A- t2 k4 @ E1 }
set-plot-y-range 0 num-people
) f( T6 J3 v. S5 C0 w5 N& d set-current-plot "Class Histogram"% F/ ^5 e7 Z, N8 `/ n
set-plot-y-range 0 num-people
: @* s4 S' Z: ~+ mend; F/ ^0 b! M8 |4 }7 [5 o# S O
1 \/ g; `, T. k c1 ]! ^
to update-plots, p4 F$ ~& h, _, l& W# b# u- U" {
update-class-plot5 F# H5 e0 n) c/ h
update-class-histogram
; m# e8 y2 c b update-lorenz-and-gini-plots2 D, q; Y2 T8 Q% L u8 w* V
end
3 P- X: s/ @; h' ^ o% e# |4 v0 O- w+ l* y
to update-class-plot+ q% {) n3 }3 o! ^. |& q5 J; t7 K
set-current-plot "Class Plot"
, O Q% n! T; V$ R& j set-current-plot-pen "low"
; e- ?8 [' Q2 |0 N' `4 j plot count turtles with [color = red]
3 Y5 F9 R1 Q# |+ N5 C/ r5 F set-current-plot-pen "mid"9 i9 s" j0 s1 w+ ^
plot count turtles with [color = yellow]
e6 Y0 a; {) }% v set-current-plot-pen "up" _. ]* p1 F: _; K/ D) a
plot count turtles with [color = green]6 q6 Y) H) \+ _4 O* `' h
end. P; G4 I4 K4 ?' ]: \. q- @
) r0 R6 P# F- jto update-class-histogram! H. q. c- k- p- ^$ X) Z' s# B
set-current-plot "Class Histogram"
7 M# N/ Z2 m8 k6 K$ r plot-pen-reset
2 f3 F; l+ [ m$ c# U set-plot-pen-color red
8 T4 q3 X3 d6 _# O8 A4 { plot count turtles with [color = red]# A9 K0 [6 t) `/ ^1 H/ S. H; y
set-plot-pen-color yellow
9 b Y0 [9 n! y$ T8 z P plot count turtles with [color = yellow]
3 d/ M. W# `8 J6 V" s' X; x4 H+ k* N set-plot-pen-color green
( X- y2 r. g+ g2 A0 y& U, B9 u3 U plot count turtles with [color = green]
/ i2 c" N* [% U- r' `1 rend
# Y. f; w- @% m% }7 ]to update-lorenz-and-gini-plots
7 |5 e6 a7 W( B4 q$ G set-current-plot "Lorenz Curve"
& H$ R+ e: [+ c clear-plot$ w8 W2 u7 J2 l2 g2 F4 B: P" Z
. F, q/ k" ?- V
set-current-plot-pen "equal"
. r: A, @, {0 u% o* f) H/ `9 h5 U) ^ plot 0: x9 c% q) E9 K+ d* I
plot 100' X" o; m& n4 q9 s1 U- ~8 ]
* M+ v" N. s; l$ O* U' i! ]/ i* T6 R set-current-plot-pen "lorenz"
- k- ~1 D3 L$ J' g6 m7 Q set-plot-pen-interval 100 / num-people, g$ t+ R1 _" S# X3 ?/ D' d
plot 05 A/ S, B" S# V; Z2 J/ R1 ?& D
% m, S+ N2 h+ h! N' b9 l% D let sorted-wealths sort [wealth] of turtles: W* _+ u2 W: j1 U
let total-wealth sum sorted-wealths6 p0 r2 w/ {( `0 c7 d7 e$ F
let wealth-sum-so-far 0
$ J9 v# c1 q! S let index 0" W3 ]( `; p0 x7 p0 N
let gini-index-reserve 0
, e- M- F1 M+ Z" d/ ]: ~$ ?# U3 h" w/ T3 S
repeat num-people [
8 L3 C" x7 c5 |7 ]# J6 L/ l set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
, M0 |$ \/ @: |4 ^) Z1 G$ h plot (wealth-sum-so-far / total-wealth) * 1002 S* k) Y; p- F+ p" m$ A
set index (index + 1)
. C) q5 O# r, h" v8 |" m- D, c& i set gini-index-reserve
, J* {2 U% K1 b! e9 W gini-index-reserve +
, V( {3 ?! L7 g C ]2 W (index / num-people) -
8 t/ f3 K# H( Y (wealth-sum-so-far / total-wealth)$ }$ V5 A3 `! F+ d6 z
]
4 T+ O' i$ m8 C1 Q I6 S9 g' y( q$ ]9 h' N
set-current-plot "Gini-Index v. Time"' O! ?" b% b o( p6 Q' l8 ^( @' K
plot (gini-index-reserve / num-people) / area-of-equality-triangle
& }- V8 I/ q) |7 H4 dend9 C# x+ G; M \/ t
to-report area-of-equality-triangle* w& O$ A; [7 n8 S- H
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
8 n# G4 Y* u, v, |: {( n5 kend |