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8 ~! N( C" {7 \9 C" ^! S
globals% G' O8 q) l7 h8 [! H) `: _
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max-grain
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1 L- Z( W' U( a+ u( [6 O]
& p0 ~5 K! H5 x3 S: k6 F
" n+ L& j; T- U! y) m$ ]patches-own
2 J, O! L6 q# Z0 B5 F1 U' ~- L[
7 Y( W4 k% n8 g1 L q' M) Q$ k grain-here
. T' p, h6 d* l1 a( Q max-grain-here
# Z! Q7 ]: J9 W, _]9 { U* M* ^+ {& W0 G3 f$ Y
4 \8 [; [0 B5 t7 H0 m# }
turtles-own* g! Y! k. _, S z+ K
[$ F$ P' g1 `0 f% l" I. i2 s
age
2 n" A0 K" u1 Y& k- o wealth
3 q$ O& r4 b. A+ U1 p: T# v- ` life-expectancy
# G2 Z/ Q& b; i/ f0 O, q metabolism x9 L' e% _ u3 F4 }
vision, i+ q2 U W; X$ c) g9 Q* \ \
inherited 5 H, v& i2 E3 Q' v8 [. m
]# t- ?2 L) W8 x4 {
$ l( [0 I/ A& g* b& ?# G( r
( G% Z( g7 j3 L4 v& E9 c7 ato setup
0 q+ i% N3 G( r7 C+ u& D: Z. G/ O ca
+ m2 p; \2 u8 J% w1 ~ set max-grain 509 s- u# ?9 n- x" S# \7 F3 ^
setup-patches$ E9 Z1 A$ P+ s1 Q! m7 l
setup-turtles
% J. Y6 y% G% v( B. J F setup-plots
& c- o; X( X9 H' V- ]1 @ update-plots
0 ?+ N3 j, A% F6 ?end+ E9 a+ _+ {0 w& S. T5 t9 @
to setup-patches' L% E9 y- V1 A8 r7 \2 e" O# S
ask patches; a1 F; f" c, G$ f: o; b( q
[ set max-grain-here 0* J7 G+ K, ?$ C, N- V# x
if (random-float 100.0) <= percent-best-land
$ g5 Y; Z9 B4 k6 T: X [ set max-grain-here max-grain- \* K, x6 {. g4 J0 B* Y
set grain-here max-grain-here ] ], Q+ d4 v9 O. ^; l
repeat 5- z; U' H4 p1 r
[ ask patches with [max-grain-here != 0]/ J7 N0 w; X3 @3 p# i% y, _
[ set grain-here max-grain-here ], E+ y$ n# E1 ]. R2 S1 S( i
diffuse grain-here 0.5 ]! e( t/ |$ V( d1 |# |
repeat 10
& D4 L$ m" Y( q2 t& V [ diffuse grain-here 0.5]
' ~7 }8 \0 z2 T ask patches" M) \0 o+ N6 k; z1 S
[ set grain-here floor grain-here
/ A7 _, Z9 f* Y, k/ @& `9 ? set max-grain-here grain-here
4 O# b6 A- a1 E recolor-patch ]6 p& q2 B4 z- F
end
! C5 Y% a4 k8 {+ Y# V3 ato recolor-patch 7 L$ C; O) W' R+ \# c! i
set pcolor scale-color sky grain-here 0 max-grain
3 a- _; `+ H6 [4 s" C6 nend2 f0 Y0 U+ h9 T, a8 Y
to setup-turtles' `0 u- V# T. {7 e( p6 a' n
set-default-shape turtles "person"; r7 H* Y S0 p! X, G! k
crt num-people
% |5 [. _, B* F5 M( Q, t! a [ move-to one-of patches
8 L# W2 }' H4 O& {, e7 I set size 1.5 7 k7 s6 f( r, U
set-initial-turtle-vars-age+ b* b- O) I/ J7 O, L* m2 l3 F
set-initial-turtle-vars-wealth" g3 X1 [7 G. {% N4 |
set age random life-expectancy ]( I" L! I' w. D" X$ T: h+ }% K
recolor-turtles
7 w8 A. }( {, j6 e P7 B3 @end- \! P. ]" |. B7 l& T
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to set-initial-turtle-vars-age e: Y; c' ~; \+ i, }* ^
let max-wealth max [wealth] of turtles# n- a# M5 ^, I; ] V
" o; m0 a9 o v- J- _4 w ifelse (wealth <= max-wealth / 3)! V# f1 w7 C8 ^3 G! \2 D1 W, j
[ set color red
3 ^: o' [4 W8 r3 t set age 05 [" r1 H) t# h X- Q
face one-of neighbors4
% N# F8 P7 E* E6 }# s& I set life-expectancy life-expectancy-min +
" R5 b1 C% e8 j+ m0 ^/ N- k3 _/ b random life-expectancy-max - S N7 D: a4 B
set metabolism random 1 + metabolism-low% P8 I$ _# r3 [3 G# V5 V/ m- [
set wealth metabolism + random 300 }2 J- r' s6 F6 l. e8 Z
set vision 1 + random max-vision
- c w7 U& b& W. |* T3 D' ^8 m. H# e set wealth wealth + Wealth-inherited-low ]
: H* }* [8 U& o' [' M) Q$ Q [ ifelse (wealth <= (max-wealth * 2 / 3))3 F+ S1 B6 \6 s" r4 _6 C' o
[ set color yellow 2 B1 Q% }2 Y3 A6 a' S2 T
set age 0, h4 c" ]: |' q
face one-of neighbors4
- X y: X' C1 k- n set life-expectancy life-expectancy-min +
0 e, }( x# J5 I4 x; c4 m. z random life-expectancy-max + 1
* F/ N9 z0 P* y set metabolism 1 + random metabolism-mid5 k/ m3 ^1 l' p h! L
set wealth metabolism + random 30
& C9 F3 ~) N3 Y$ G set vision 3 + random max-vision; ?6 k& t" u3 q
set wealth wealth + Wealth-inherited-mid]
& p' Z# ~- K5 \$ j& u- V( D [ set color green
) D0 z+ L+ q% Q2 }+ {! |% | set age 0
/ C" j& P8 K( ^. w0 h8 w face one-of neighbors4 + J( A9 `: c: t0 z' s3 d, E
set life-expectancy life-expectancy-min +
! {3 y! _% h9 A& x% V random life-expectancy-max + 2
) z% f2 ]2 {# y set metabolism 2 + random metabolism-up% a- [# h- r' q5 p g
set wealth metabolism + random 305 B: I/ W Z1 E* @% ]7 g
set vision 3 + random max-vision
; Q4 r+ _) V" k* d1 t9 O( @$ e7 { set wealth wealth + Wealth-inherited-up ] ] ) U! V: z+ y) R }: n
( H. a- O0 d/ dend8 K# ^+ o( h$ Y
to set-initial-turtle-vars-wealth
" _6 L; E: a; w let max-wealth max [wealth] of turtles9 B' g6 H5 ]5 Y; {! T
set age 0
s$ C: q$ g" v face one-of neighbors4 + g4 r; F x% {2 N6 {
set life-expectancy life-expectancy-min +1 ^% [+ U$ W, i7 a+ f
random life-expectancy-max
* D6 G5 X, s- Z: v3 q set metabolism 1 + random metabolism-up( T6 t2 f& B$ W
set wealth metabolism + random 30
$ C( b6 H8 M. _& x& N set vision 1 + random max-vision ' K1 Z# m/ c' R
end
% c8 x$ D1 c( j4 p, M6 c, dto redistribution* R% p2 _6 d8 Z9 t& ~; n- X1 `2 _
let max-wealth max [wealth] of turtles
1 m# L5 q9 H, R' w0 Qlet min-wealth min [wealth] of turtles4 p2 `9 L9 m( j. V" n" J
if (wealth <= max-wealth / 3); c* H. b$ a0 `# Q' H. |
[set wealth wealth + Low-income-protection ]" K" H4 O) |3 M
end
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to recolor-turtles/ H- `/ J: Z8 L. X
let max-wealth max [wealth] of turtles! i% l0 W4 b9 P1 K! v
ask turtles% U; ?4 Q6 F- c) b g4 z
[ ifelse (wealth <= max-wealth / 3)
3 r1 D2 I) J* A3 d4 j [ set color red ]) s4 B H, H* m; l1 z9 X$ o
[ ifelse (wealth <= (max-wealth * 2 / 3))+ r7 ~7 r9 X) i' e2 n& J2 o8 S. c
[ set color yellow ]" l% e9 q7 }5 ]
[ set color green ] ] ]
9 z6 K% A8 v5 H9 w ask turtles [ifelse show-wealth?! t* D# M' u9 H1 m
[ set label wealth ]4 Y; m: D, k. y
[ set label "" ]]
$ u$ J# | M" wend
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to go; [) Z) S# o/ f+ T, f# Z
ask turtles
# B+ T6 K5 @2 { w" A. H8 k [ turn-towards-grain ]
9 K0 Z$ K' Q, t9 j. e5 K2 y harvest& G8 U# Y$ l! R, Z" G9 E
ask turtles
2 u! t9 M6 D/ c* i [ move-eat-age-die ]. P5 ]0 t/ G" J- _3 F. d
recolor-turtles- e7 Y4 F8 ?% }9 H& D* j, |- `
if ticks mod grain-growth-interval = 0. r' B# H6 |/ C# q
[ ask patches [ grow-grain ] ]# k& @! X% w# ]9 ^" d
9 |: }" y B: H$ J7 h4 F7 ]4 n
if ticks mod 11 = 01 X. M5 }9 V3 O h
[ask turtles
0 o4 l$ y+ R# A1 |1 }6 Y1 L+ x- K6 a6 m [ redistribution ]]
3 z* m8 i8 a& E) z# p p if ticks mod 5 = 0: @6 e4 q# m4 ~1 A) x# K4 L/ N1 h
[ask turtles
1 H4 E3 }, h! W, a [ visions ]]1 R. V/ g9 k% z. V A3 `, `
tick) F' y3 X1 z1 X- |) M# w9 V
update-plots
# a* F, w! t: X) b8 C( A. A* o- Nend
' @( u, O( O6 d1 n; Rto visions
( ^! A/ h6 T/ _) o set vision vision + 1 7 Y* \( o. B4 J) Y3 G0 H' N
end
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+ ^% @" B$ q" R" K
1 h3 [6 I' ^; _- b6 }
! ?# L6 A0 R# b8 F9 t9 H0 B) O! Y: Vto turn-towards-grain
+ r. F% |9 \, ]) i0 `" S set heading 0
( n9 U, H8 y N8 n let best-direction 0
' D/ k% L$ O: A5 P: [ let best-amount grain-ahead3 y z- I$ k( \1 q, f
set heading 909 y) d5 f- i# a: N6 B% t% s6 A% V
if (grain-ahead > best-amount)
B- H6 c8 {7 H [ set best-direction 90
4 Q5 Y* R3 x! `6 {: H set best-amount grain-ahead ]1 w6 R0 n1 K. |1 p7 b: \$ }
set heading 180
$ J' L+ w9 w5 [% ]4 m0 B if (grain-ahead > best-amount)
6 G/ X- _# Z3 d+ p) N [ set best-direction 180
3 i% W& h4 J+ w" e" ?4 ~; o set best-amount grain-ahead ]
" O/ o% `) w! i2 {/ J3 F set heading 270
) N$ ~& ]0 j ?' d" T) J7 j if (grain-ahead > best-amount). u2 i3 ~ {# h- ]
[ set best-direction 270
e5 _. C. O! J1 y( C set best-amount grain-ahead ]
9 P' s6 t; p1 V5 {% F set heading best-direction1 A( r4 J. I( h' W
end
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to-report grain-ahead
) r! h4 g0 Y$ n Q+ i5 M/ E; u let total 0: d5 u8 h2 F* g2 T. }1 a
let how-far 1" ^7 O) O, Y* U& d7 H
repeat vision
7 i8 X/ i- E9 n' T% K [ set total total + [grain-here] of patch-ahead how-far8 V/ V# K. \7 v6 u- x9 l. K
set how-far how-far + 1 ]/ C: m8 d4 X4 f& K8 k5 D+ t, n+ w
report total
v. @8 c y, V" g* i4 uend
- S5 t& H b2 W1 Q$ b# _& c- B& }! d6 N# k+ U8 z* `
to grow-grain
8 s- }+ V, @0 P' W9 _. x if (grain-here < max-grain-here)- a v# q" V: Y4 m, X
[ set grain-here grain-here + num-grain-grown
2 Y+ p8 Q6 ~ v! _" X' k9 E if (grain-here > max-grain-here) H# q! n2 N9 c! |5 W
[ set grain-here max-grain-here ]
% w; n; X) a1 m, `( W# k. I recolor-patch ]
' Y" @* v4 N3 W2 K$ }end' ^* t/ h6 L( K" F0 U
to harvest- U, c2 r: U8 ?; E. F0 v
ask turtles
. m" j7 O }% E9 O6 J; \8 Y [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ f: Y1 v7 p2 m3 p
ask turtles: M6 d0 C' J, T3 n+ c- I
[ set grain-here 0
5 \% G5 X' e" l recolor-patch ]
+ \* ~( S+ L" V& r. _2 {
# R! K7 P% V3 l7 y- s" R& a& r, \end) e; V( c! f& z4 X& X
: A3 w$ o) {' l$ N0 k' E! ~to move-eat-age-die 4 J: Z/ K& R; s! C/ H+ g
fd 1
6 w7 c# Q" @8 } set wealth (wealth - metabolism)/ g. n) _! {% V& D8 s9 X- W W
set age (age + 1)! k5 g! \" v# S. g. W$ h
if (age >= life-expectancy)
( p/ Q3 z& b. M: [8 U( Q2 Q2 q! n [ set-initial-turtle-vars-age ]
, p* j* c, B/ U9 ]4 C) H if (wealth < 0)% g: k9 \' a( G4 ] ~/ P
[ set-initial-turtle-vars-wealth ]
! M) F ?4 C& g: h8 A
4 z' R2 {! a, w# ]- s: V+ B: |7 L4 Kend
% s& ], F& c" d& [, V" c5 D
c; N, G( s) C S, f) F
+ b& u; d$ J2 @+ }3 j5 ~4 Zto setup-plots& T# v# y+ S" I( d& i
set-current-plot "Class Plot"
: E; Q- H U0 l) b8 g- n: g set-plot-y-range 0 num-people. T! A7 \# L6 n; K2 W" q/ z l$ t
set-current-plot "Class Histogram"; f6 r, B2 C, V. G
set-plot-y-range 0 num-people; a, W, ~( @6 _3 |# W( A- c
end( p' ^- o% o' p5 s# P+ k
6 f6 I9 e/ _9 Z( x
to update-plots6 b& u7 A( ^6 @4 g. }
update-class-plot
$ s+ g7 |2 ^+ U O update-class-histogram' r; R6 ]( ?7 S# f
update-lorenz-and-gini-plots
: P% `2 [$ Q, D0 }end/ C5 g3 a" N/ Y5 x$ a* K# ?0 [3 `
- N0 W: X8 g0 A: x, g' K3 k
to update-class-plot
, @7 C& A1 V/ r1 t, Z6 O set-current-plot "Class Plot"9 B3 O7 F* [# ]( @
set-current-plot-pen "low"0 m. [1 @' h0 _$ x2 R7 q& r/ q
plot count turtles with [color = red]8 b/ K' A3 P5 `6 R
set-current-plot-pen "mid"" D( f; f+ W9 d9 _, K
plot count turtles with [color = yellow]
5 \' t+ h% @2 b5 F set-current-plot-pen "up"
N7 A2 c* S! c; @2 E7 h plot count turtles with [color = green]8 }$ v) W% `" n7 s3 {9 B
end
) l, x' Q7 y: s& b' ^- h9 R* D" ^8 j. U- B# H% x4 T
to update-class-histogram/ W" V% F* Y* D V& Q- U
set-current-plot "Class Histogram"" t) q8 M# g9 V) X- v% `
plot-pen-reset: `& J( U, x5 y0 s
set-plot-pen-color red
; }. x6 C$ ^( P: [& j9 M plot count turtles with [color = red]3 j# x' K" G1 B
set-plot-pen-color yellow% @1 Q: x; O/ B0 t& ~
plot count turtles with [color = yellow]
6 v# A2 a; Q; b+ j2 g0 m set-plot-pen-color green
7 n5 d6 [2 e3 Q' M plot count turtles with [color = green]. K, ^8 d/ K" S: N: {$ |
end
# Z$ E! R; e; ?& P [to update-lorenz-and-gini-plots
+ D( L# z/ `. R+ N3 _3 i set-current-plot "Lorenz Curve"
: x$ P; E- o" u* e! q1 x clear-plot
Q/ l* x6 H, \- ~4 E2 V7 m+ T% m4 W! E* o1 h7 H1 T
set-current-plot-pen "equal"
# ^+ [8 E9 q% g# R3 d plot 0 v. r8 ~" H% x$ H& w% h
plot 100% H4 D/ T! S- O5 n
3 g& O% j$ E0 B. K set-current-plot-pen "lorenz"
' s; W% l, D& ]: K7 T! o* P set-plot-pen-interval 100 / num-people
6 _( X3 }* J" d plot 0* W7 p( F9 ^) W
5 W0 U4 _+ U. ^ let sorted-wealths sort [wealth] of turtles' ^( x ^5 e- I0 ~' [3 G! j
let total-wealth sum sorted-wealths
5 {% `2 v9 j1 Q% q let wealth-sum-so-far 0% M, ]" s7 q0 U; |" F
let index 0
* s, m5 ~$ \9 E3 U let gini-index-reserve 0' L; s8 ?! M. U& B
" s! g, f3 v! m: m9 D+ U
repeat num-people [
& x+ [; O1 q" g set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
; a% o+ }! m; R, J plot (wealth-sum-so-far / total-wealth) * 1005 W/ b4 @4 p% }3 |4 D& `3 x
set index (index + 1)) X/ q; n+ m7 @- t: y" `$ ^- X# G
set gini-index-reserve+ G3 ^+ x& ]- _! V8 J' u
gini-index-reserve +/ R6 w& b& e7 J9 ?
(index / num-people) -! H$ O) Z8 @$ f1 ~. L7 P
(wealth-sum-so-far / total-wealth)
) ?& ^3 B2 N9 I- T! r/ ]9 I ]& c/ |( A0 H/ b, }4 v. u# j
C* z" [" V( @: V7 R! ]
set-current-plot "Gini-Index v. Time"
* |+ W. {, {$ W' P plot (gini-index-reserve / num-people) / area-of-equality-triangle9 ?2 \, k! I) n; s- J
end
0 E. G' ?; \8 g. h4 Uto-report area-of-equality-triangle: B7 ^* U, l% ^0 m8 v9 L( n
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
& v# N/ Z! v$ s3 k' Oend |