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( H/ ^7 v6 y/ f
globals
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max-grain
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patches-own1 k0 V+ f0 F+ b" R
[. U. z6 T* r9 ]' e5 i
grain-here 0 N" `4 p1 X3 @0 s' r
max-grain-here 4 z/ U/ ?. e) e/ l9 E) m
]5 J7 J" b9 b: J) S6 ~( J
1 `7 M0 x R- K1 ?turtles-own/ j1 p5 R- S/ \6 a
[/ E5 i4 j! ]+ U
age
2 {" B, i+ j, g' ]: r wealth
7 C5 K0 s" L# I" G* Z8 I life-expectancy ( e4 q3 E; q$ k" r
metabolism
1 N) T; Z8 p; a+ q" m" N vision
3 ^: n% R/ R" X7 I7 h7 w inherited
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to setup
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set max-grain 50
$ l/ R- E" k4 l# g3 G1 i5 I2 E) p setup-patches- i/ e1 Q, F4 X8 G: X0 `
setup-turtles
2 b- I2 J1 G: q* X% p* _ setup-plots
; [ s5 g2 f% h, h update-plots) G A- t. \( U& v5 w4 p9 ^1 i
end, u D2 `& B9 k# n% Y j
to setup-patches0 R1 K$ L D# k; }# {7 i3 V
ask patches; n4 M& L& N- Y2 w
[ set max-grain-here 04 v# E% E% S& ^3 I8 D# |+ [* N8 F
if (random-float 100.0) <= percent-best-land$ ~. B/ O7 R1 T6 \( I( \( D
[ set max-grain-here max-grain, u/ x2 Z* d+ w8 v' R9 f
set grain-here max-grain-here ] ]: }; f) H# m2 L. _4 _- V& A2 _# c
repeat 5
7 u% L. `+ r. g5 Y% x [ ask patches with [max-grain-here != 0]& A! `- x4 f5 e. U2 l
[ set grain-here max-grain-here ]
, c1 _4 x8 a4 T n: D diffuse grain-here 0.5 ]9 ?* q7 A$ J8 y# [ N. X$ D9 {3 ?
repeat 10, _# `9 V: q+ L4 k g3 `
[ diffuse grain-here 0.5]
1 F: q! X( Q: g* l: {3 e8 x; t ask patches1 N+ l u- w. U2 n
[ set grain-here floor grain-here
; ?" L. C. T4 p$ I6 Z' X6 }$ J set max-grain-here grain-here
+ b8 k5 q6 K% }& [5 N; F# Q recolor-patch ]* d3 p/ T/ }2 |! P4 e& r: L% e
end3 u6 Z0 t( N5 i0 d0 P
to recolor-patch
: p. ~- F1 S/ N9 y' \! a set pcolor scale-color sky grain-here 0 max-grain9 e/ l- y, r) l" ?7 i% y+ Q; ]; |
end1 ]1 ~1 {4 ^) [
to setup-turtles
' w2 L+ u: o+ f' I set-default-shape turtles "person"5 W3 h W9 p% e
crt num-people
4 |- V T o$ g [ move-to one-of patches 8 {+ w* u5 g1 w" k; v0 b1 Y
set size 1.5 ' C' l' m5 p* [1 V
set-initial-turtle-vars-age- A( J/ G: S7 l
set-initial-turtle-vars-wealth
2 @& Q! D" M- g: P set age random life-expectancy ] q7 w3 ~; n: E O
recolor-turtles
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to set-initial-turtle-vars-age4 ?/ z2 m8 g! M6 x( b
let max-wealth max [wealth] of turtles
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) @+ \* X" W. ? ifelse (wealth <= max-wealth / 3)
& \3 q: p4 ?4 c* F! U. z: L3 U [ set color red / ^6 _0 U1 \3 B2 ~
set age 0
( e# e8 U6 i1 Q$ q. k face one-of neighbors4 , W1 U1 s- M+ z* q+ x
set life-expectancy life-expectancy-min +! f5 c( h5 b: Q; ]; {+ E$ v
random life-expectancy-max
( s- E# l2 n+ \ n+ Q, x set metabolism random 1 + metabolism-low
- T2 t. P4 V, F set wealth metabolism + random 30
! S$ Q; m/ Q$ J3 h* U- n set vision 1 + random max-vision
8 p3 j# }# j0 k l8 b$ c$ d set wealth wealth + Wealth-inherited-low ]" a+ q8 k3 {+ ?( m' a! g$ e
[ ifelse (wealth <= (max-wealth * 2 / 3))# @9 C2 L5 d3 ~) l# e0 F
[ set color yellow
% n& X5 I$ O0 P$ T set age 0
- c' D8 M% j6 v- y5 W' e+ ~' w face one-of neighbors4 - v( d! a2 [2 T U' z: f3 z9 |
set life-expectancy life-expectancy-min +% S& V b2 j; c1 x# o
random life-expectancy-max + 15 E# @0 q8 c, v5 K9 E
set metabolism 1 + random metabolism-mid
6 [9 @0 X, o" {1 Y0 [0 _ set wealth metabolism + random 30
5 K/ Z9 l4 _% O& o* Y set vision 3 + random max-vision; B1 B. {% u- o# d1 P0 m
set wealth wealth + Wealth-inherited-mid]) W0 k* f# k& a9 K' q C( y
[ set color green
9 z! j% I9 r& K Z$ J+ \% _ set age 0+ j" A8 B9 V0 {7 l S
face one-of neighbors4
" z0 k N8 \* U5 ~) x1 j& U set life-expectancy life-expectancy-min +
; s* q# S s+ D: x0 ~) p { random life-expectancy-max + 26 o$ e" [7 |6 T( ]
set metabolism 2 + random metabolism-up
8 `" P8 r* |5 M6 S) k. [; |4 j( N% |' @ set wealth metabolism + random 30& Y: H" k' Z D1 y6 ^. V" @" I" i3 ~
set vision 3 + random max-vision
0 @6 y( G. y, a+ U+ D8 N set wealth wealth + Wealth-inherited-up ] ] % W& K% t2 \2 @ y9 ~
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to set-initial-turtle-vars-wealth' ?! y0 C: e) `' O
let max-wealth max [wealth] of turtles
8 z) P$ M2 M8 U7 @& S/ M set age 0. Z; A7 X+ Z; x r
face one-of neighbors4
& n( A( y3 ?" C8 j$ P7 I+ v; v4 k2 x) O set life-expectancy life-expectancy-min +
1 h v$ J1 N1 B6 d r2 z1 ] random life-expectancy-max
) T4 \# }: W$ d1 Q/ q7 a0 o set metabolism 1 + random metabolism-up) S& t2 W1 U G, o* n
set wealth metabolism + random 309 b) t1 }+ ^ ]$ P
set vision 1 + random max-vision ' m9 A& o+ D9 E v% m
end
) m% W/ w P. X$ \- m6 ] lto redistribution5 p; g# b ^& C% _3 i
let max-wealth max [wealth] of turtles6 l4 }0 w9 n! V' f, z* _+ p4 Q
let min-wealth min [wealth] of turtles
z# l) v7 s+ a# Kif (wealth <= max-wealth / 3)- n" z5 G2 |* ^
[set wealth wealth + Low-income-protection ]' y; ?$ ]0 p( O2 N9 k8 _/ a. W( r
end
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to recolor-turtles ~3 l6 S* y2 Y: _6 D$ c% u
let max-wealth max [wealth] of turtles- g, `( B) i) Q$ {, I
ask turtles% w( H5 i8 J4 H/ l; Q
[ ifelse (wealth <= max-wealth / 3) O$ X q6 v+ X O& m
[ set color red ]
2 `3 L4 ]0 W$ Q& l [ ifelse (wealth <= (max-wealth * 2 / 3))+ M1 }; d& ?7 f7 h5 K' X7 H! N
[ set color yellow ]5 p2 m" y! ]) |8 x7 L4 F& D
[ set color green ] ] ]
' y/ R" P5 E$ h7 s& `" O ask turtles [ifelse show-wealth?
! p+ g$ p$ b, @5 z! k2 F$ ?/ ~ [ set label wealth ]2 T1 g$ z( b3 u1 t G- k5 e# v
[ set label "" ]]$ t# D: X7 r$ F" P
end
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to go2 Y5 |* u% _5 _! ~
ask turtles
1 H8 i8 d0 X+ G. ~ [ turn-towards-grain ] ) X# Z" g2 b6 x
harvest. B9 K; b& a5 i9 D5 M. j
ask turtles- E* W6 h Q' T3 u4 w
[ move-eat-age-die ]$ \7 g- U- P0 G
recolor-turtles
( ]( G% _; }& X% j if ticks mod grain-growth-interval = 0( g3 u: ~& J* _
[ ask patches [ grow-grain ] ]' P. }- b4 t: |' Y* _2 l5 N
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if ticks mod 11 = 00 X. h" A9 T- J: s1 }3 c4 Q
[ask turtles9 k1 R5 S8 C$ T7 ~- S2 f
[ redistribution ]]. w5 \9 T& z( c: h" V0 F; j) m* N2 B! I
if ticks mod 5 = 0- e. a; D% W* F$ }$ K9 \" ]
[ask turtles! d0 h" V% e- s
[ visions ]]
: E% m) m8 n* F( d: L9 Q5 \ tick( n3 P; ]3 \* P1 Y6 u
update-plots
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to visions! r5 t; `7 S: J
set vision vision + 1 3 D* j% h- h7 z5 t* K2 ^
end! Z7 H2 o; ]4 s* \
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e; L" R# M0 e2 Z4 t! @6 A+ B
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to turn-towards-grain
; t/ @: M& @& ^" P3 A set heading 0
$ w) h' y& s9 L let best-direction 0
' x* Z8 @0 |7 V7 q1 s let best-amount grain-ahead" s# M6 [. ]% O# N: d
set heading 90- J% F3 l! e* H' n
if (grain-ahead > best-amount)' `6 Y& v: `4 W1 i: u- P' v
[ set best-direction 90
' y4 ?( g) p. S1 C$ F set best-amount grain-ahead ]+ {7 F0 O/ C/ d* g' y/ |2 \
set heading 1804 y' s! c6 L9 O7 | B' Q
if (grain-ahead > best-amount)
0 t0 P) S; u- `# @, H3 Q [ set best-direction 1804 B& a1 | E" w9 t6 V3 B# O3 l
set best-amount grain-ahead ]) a5 n: Z6 F5 V! u+ t+ `$ |# x0 v
set heading 270
8 @3 d/ v4 }$ o$ t$ f/ T$ `, u6 f1 B1 F if (grain-ahead > best-amount)
9 o9 w2 p3 \4 ` [ set best-direction 270- n- l4 a6 t# }. @1 T1 h- d
set best-amount grain-ahead ]+ N5 J1 w- s" g! X! b- j
set heading best-direction# E4 I& m* W" X+ Z1 V1 i" W1 m
end
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5 C6 F2 I/ ~/ C; u i, s0 fto-report grain-ahead 7 S0 v1 c4 X3 ^7 w
let total 05 B" i" V4 E4 b& A: w, N
let how-far 1
" T' t3 p4 p# H) [8 z repeat vision: z( r r3 }, q6 w
[ set total total + [grain-here] of patch-ahead how-far
3 G) c, Z, {0 R( v3 G$ x J set how-far how-far + 1 ]# W b+ z+ K& b$ |
report total
$ Z$ E1 a) o1 E( I: ^' ^end
g5 c' {' w) }8 q( x/ H, g% j$ A* }: j$ l3 z
to grow-grain 6 j$ }, \1 S8 G" P
if (grain-here < max-grain-here)9 O. ?$ T) q/ ^5 p! Y( c. ^
[ set grain-here grain-here + num-grain-grown8 a# u8 ~6 v" O4 o; H4 I) {
if (grain-here > max-grain-here) 1 C& C0 E4 ^/ U1 C+ n
[ set grain-here max-grain-here ]
2 a& \/ ~. _% @4 N% Y7 P# W: C recolor-patch ]
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to harvest, L9 d! J! I- S D& G% t" ?5 l
ask turtles
, i! \' d, j- p [ set wealth floor (wealth + (grain-here / (count turtles-here))) ] _; w1 L; \' K3 W) O5 _7 ?
ask turtles
3 y# {: M5 v2 [+ l- n [ set grain-here 0
( }# O8 k$ M# i( A recolor-patch ], e* \6 h' [9 a1 P3 C1 `' m
! M% M: L& X5 Mend
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to move-eat-age-die
# `* B8 i6 W, ~) D" Q fd 17 A. x' Q& m8 S9 w
set wealth (wealth - metabolism)
# }4 Z8 E+ q3 M( ? set age (age + 1)" ~( |+ b' h n, b, q2 C! j
if (age >= life-expectancy)0 W! {$ V' M5 P# v7 z) |
[ set-initial-turtle-vars-age ]
& J8 v9 e# e, \+ R if (wealth < 0)/ S6 J% b* q0 q
[ set-initial-turtle-vars-wealth ]
, x4 y0 H" Y: z' ?
* C" {! w, a$ X+ b, lend( I# d l- z1 U$ e- K5 f0 l
/ Y8 n- v# Z- }5 k' a
1 i9 c# }' w9 q+ j1 [1 O% }$ O2 d3 tto setup-plots
- U. x) o; b9 S7 m+ M2 y set-current-plot "Class Plot"
: Z; I: S9 m& ^) ~* x2 i set-plot-y-range 0 num-people9 W# H2 l; n) Y: O7 }
set-current-plot "Class Histogram"0 [" B: a: I5 g% a9 N+ T( [
set-plot-y-range 0 num-people
+ S# J% o' u# c1 O- I4 ~4 \end! b( p% ?5 O! i9 ?2 ~0 T" N l
9 Z- J" H3 s7 G0 y$ W d. Yto update-plots3 F6 {3 V# p: k3 x! F$ k7 F# Y
update-class-plot7 {/ W: m5 r9 g1 |* o0 y
update-class-histogram
! u) k& y8 f2 Y0 {- ]2 `2 c update-lorenz-and-gini-plots( i* z/ S5 e: D' {4 [; n% b
end
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to update-class-plot5 z5 v# z T7 U, e# e
set-current-plot "Class Plot"6 L4 X7 b4 A/ D% I
set-current-plot-pen "low"
, ? r. A4 q5 x; X x plot count turtles with [color = red]
7 o6 ^$ V( d/ |& k5 U set-current-plot-pen "mid"1 s1 b% p/ @- n+ i. T# g
plot count turtles with [color = yellow]
( a5 o2 ?; I* M5 }6 b# P4 [4 \( W set-current-plot-pen "up") e4 u z% @7 P4 F: S4 b7 ~
plot count turtles with [color = green]
* A" D! Z6 o7 Z1 Eend
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to update-class-histogram' j) u+ W6 H2 s t1 q
set-current-plot "Class Histogram"
2 x. x. E" d* f2 H; _- W* H/ X$ m7 Y' Y: ? plot-pen-reset
' x7 q5 c9 O$ }* ?7 g3 F |9 u set-plot-pen-color red
. L+ N' `1 ?' M W plot count turtles with [color = red]' a& u& |! B, ~1 ^! v, Q" l$ t: f8 G
set-plot-pen-color yellow) X) i, }9 I( {8 p
plot count turtles with [color = yellow]+ k2 y2 T8 t. t4 \5 W
set-plot-pen-color green9 O) H. \% I6 q, g( r- f# |$ @
plot count turtles with [color = green]* U) A' i6 K) c, m% x1 j8 h
end* X L3 c6 }) j, c3 }: T' ^
to update-lorenz-and-gini-plots$ C( x( H9 N3 D1 j
set-current-plot "Lorenz Curve"
- ~! @+ G2 s! X& z' ], i: G$ K( ~ clear-plot( K- o) K1 o/ g7 Q! |
1 X' O+ s8 J }8 ~ set-current-plot-pen "equal"* o% d4 D" ?8 `' Q4 m W1 R
plot 0
% ?. ^" r- q2 [8 r( G8 u& }( n plot 100
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set-current-plot-pen "lorenz"/ H- r& b1 Q1 N% ?3 d
set-plot-pen-interval 100 / num-people% y, l" I9 o- M- q
plot 01 k! J: d& I6 j0 O; S2 n
& @9 |5 J! _: u/ m1 k
let sorted-wealths sort [wealth] of turtles: z, L3 w0 ~/ ^% |1 e
let total-wealth sum sorted-wealths6 n2 {( C% Z/ g$ ~$ v0 M4 w
let wealth-sum-so-far 0
7 F5 U9 a9 @/ U- H4 Z! f5 _, D let index 0- [) x5 y$ N7 p1 t6 D& e% I
let gini-index-reserve 0
' P6 |! j, c* N' S' Q% G* E0 t
- ~: ]2 a( Z! n! \$ ^1 \% ` repeat num-people [
" ?. `( Q( Z. g6 Y' t set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 t1 O8 e1 o# v. w% v2 I- ?8 \3 G plot (wealth-sum-so-far / total-wealth) * 100
3 Z* p, S6 x9 ?) U5 B set index (index + 1)7 C3 X' S$ D" t
set gini-index-reserve& }0 _2 H. A5 M& B/ b7 d" U9 L
gini-index-reserve +2 e9 E% `- m5 E# q ~
(index / num-people) -
! |4 S, u) D( \7 ]$ P8 Y (wealth-sum-so-far / total-wealth)! a3 l M: F0 h9 i" P$ N
]5 d* @9 \. W) F) h' B1 S
; G- D7 w3 \3 h. e8 a
set-current-plot "Gini-Index v. Time"
2 U9 p* ?: N) T6 M) l plot (gini-index-reserve / num-people) / area-of-equality-triangle7 J$ j+ y4 O/ d+ Z
end& O2 P) [& ?* |. D1 s3 {
to-report area-of-equality-triangle
. U# n J% Y! h report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
, Q4 R' c' b/ Vend |