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
) Q; H3 \4 y7 k4 |8 i# Jglobals1 }# [! s* @9 D+ {9 O- }
[
/ J* ` S# }" w max-grain
! T, }5 R' f6 Y; l8 Q4 Q) v/ A [) U: x1 C( s
]8 z3 J; r5 B& F% i$ Z5 w. G4 W' H
0 u0 `1 f) r0 M* i# B9 y9 p! H
patches-own9 b$ k3 M" g9 j) x+ I q
[
+ v" _6 y6 p f% | grain-here
% q5 q4 m+ F% y max-grain-here
0 m8 B; D: J2 f$ d]/ F ]4 O6 Z7 d8 _+ W6 L0 u. k
) @6 Y$ X2 V% m# o( L- S" R( S' I2 ]turtles-own
3 ?3 l8 Y0 c; G9 n( {[2 h& C4 }$ C5 h9 s& s% i+ q
age
, i6 A- u- e7 h/ R0 @+ _ wealth ' o2 F6 J1 N4 s% I
life-expectancy
. m' f- |; \7 m5 } metabolism # b& h2 Q3 N- D" \. S, b# m( G9 ~
vision8 _9 E- {9 a; H, V2 z8 f: l% U
inherited
_8 N) |. r, o, h a a]0 G- _7 n4 \8 g6 j
+ Q. g7 v: b& {- Y/ Q5 z$ X0 I3 e( s/ y/ w% y
to setup' K. L2 }7 J* n
ca
" B; d4 V$ b% a, \2 Y set max-grain 50
9 ?, `# n( L3 j) w0 P$ p5 a setup-patches
/ r C6 Y E4 }; ` setup-turtles
Q' b1 K6 y* H1 @/ ] setup-plots& X* n/ u. @7 W5 U
update-plots
d$ T7 {4 u7 _6 P; J$ m! h% m; Kend
, z/ L0 t/ |( @6 l- G( P$ |, Qto setup-patches* u: K- ~' S: K* o; e( B) B
ask patches
: g% K" _1 N* \# s3 ? t [ set max-grain-here 02 n5 N0 q0 S2 ^ \
if (random-float 100.0) <= percent-best-land; r$ G0 |: ~$ W9 j4 n2 w/ Q
[ set max-grain-here max-grain
0 I4 P/ M8 s$ h8 g3 t set grain-here max-grain-here ] ]& ?! p' ?# M9 M+ a$ Q! z, ]/ p
repeat 5' q0 r) P- f& W4 P/ i/ M- |
[ ask patches with [max-grain-here != 0]; x& J. j* U) X F/ e7 q- _- F8 A
[ set grain-here max-grain-here ]
7 J3 w' j! g- _3 ]1 x! ^; _ diffuse grain-here 0.5 ]1 `( V1 Q& I# i3 Y
repeat 10- N- R- g' ^/ h# n; {4 b6 [
[ diffuse grain-here 0.5]
$ N( Q8 \/ L7 z5 u ask patches; u, \" Z( p# _+ `; c+ a
[ set grain-here floor grain-here + t5 a, r) S) S$ }( H$ L
set max-grain-here grain-here
/ B4 I, \' Z' h4 ~ recolor-patch ]
( u+ Z2 B' X' K |! Bend3 E, k7 ^, M; d3 I, w/ l5 z
to recolor-patch
* m( q, B9 i# A/ | set pcolor scale-color sky grain-here 0 max-grain
6 X1 w* n) e5 @- [end
* `0 c0 M( m- p9 T6 S. I2 U% i6 Zto setup-turtles
1 N5 K3 @' P) \; V% _- L set-default-shape turtles "person"
3 M6 `3 C3 n( i7 @ crt num-people6 a- S2 h: N8 @6 d/ ?
[ move-to one-of patches
5 [" m) s) h+ U9 x set size 1.5
; P" t: N. _1 g- o set-initial-turtle-vars-age
, k7 _5 R0 `; E set-initial-turtle-vars-wealth
) F5 ~. }) v" ^4 [ set age random life-expectancy ] H$ _, i( K1 X4 p' Y2 C* W' S K
recolor-turtles
2 W& `% W4 F& S4 s0 y* Mend
# d% x; B6 D/ ]( T; f
+ d# S- \7 X9 B" P4 _7 jto set-initial-turtle-vars-age
- k# G. m( E) y2 T: t. m' Y let max-wealth max [wealth] of turtles
: k H, g2 w8 }4 q* @
# a$ C( t5 `& H( n9 j5 ?" p6 j ifelse (wealth <= max-wealth / 3): P [2 Q9 O- s2 {3 Z+ |
[ set color red
; k% ]/ ?9 p- R' _8 W$ X6 c set age 05 J( C+ s. f) X, [7 p4 J0 w
face one-of neighbors4 m x: B* g l) D7 r$ ~' Q C
set life-expectancy life-expectancy-min +
! ?8 [/ k( G9 M* c9 o random life-expectancy-max
9 ]/ c& G* O0 {( i, R) h; ~( X set metabolism random 1 + metabolism-low- y* K" l6 c" W1 h1 c1 ?* O( K
set wealth metabolism + random 30* ]# F' J' z6 @! e/ d
set vision 1 + random max-vision; _$ @7 v* O# X# e
set wealth wealth + Wealth-inherited-low ]
# Z4 C+ \" O+ i [ ifelse (wealth <= (max-wealth * 2 / 3))
W. L) c2 j* a; T: j' W [ set color yellow
9 w# r( t2 {, q1 C set age 0
6 a4 u% ]: N/ \ face one-of neighbors4 . G. T4 ^4 @2 Q1 [9 q6 b& r+ u, H' E
set life-expectancy life-expectancy-min +$ S* D! u5 [7 g! h( z
random life-expectancy-max + 11 P2 e1 U9 z X# H
set metabolism 1 + random metabolism-mid
$ ~1 L$ f% z9 a* } [7 O$ Z, V set wealth metabolism + random 30
+ a5 T4 Y3 g9 \/ Z& R: F2 m1 k set vision 3 + random max-vision
; p+ T+ d* _$ a& h E( u( V2 s set wealth wealth + Wealth-inherited-mid]
2 S6 V# k6 Y4 d. S- b6 } [ set color green
) K: R& ]% c2 s6 N y/ S set age 0
% A4 f* t0 I' W( t. t v face one-of neighbors4 ( t# q0 m! y( N" g9 _# u, d. D. t
set life-expectancy life-expectancy-min +
/ M' R7 P6 c2 f" N' b random life-expectancy-max + 2
7 L% v, K2 ~; W1 L) l5 j' W& I set metabolism 2 + random metabolism-up( S4 [3 x ?7 Y% U
set wealth metabolism + random 30% R$ z* _/ Y0 A+ z& e4 Z: e7 R
set vision 3 + random max-vision0 e2 R) V4 }0 _! Z. C1 e% H
set wealth wealth + Wealth-inherited-up ] ]
" ?6 |& g; p: k# `
$ D1 T+ B- E$ o1 }6 Vend! g$ o; q- P, T+ b0 t
to set-initial-turtle-vars-wealth3 \6 r; ]% J7 S" U% N' ^$ G
let max-wealth max [wealth] of turtles9 G* ] ]8 q- ~6 S8 z
set age 0( b7 T( r9 ]: m( j2 n# a4 a) K
face one-of neighbors4 . O% X) `/ W7 P8 K, Z, C4 w
set life-expectancy life-expectancy-min +) S( u5 \5 z L* Q& _* H$ j+ \6 Q
random life-expectancy-max : u9 ] U s; e" E+ C
set metabolism 1 + random metabolism-up5 c% \$ q `$ `
set wealth metabolism + random 301 ?+ Y9 M8 O6 L+ e, v9 V I" Z
set vision 1 + random max-vision
# l, s% U4 }8 z3 Z2 Send
/ t, h) a4 Z- I0 pto redistribution. j m! w& T) u; t5 F- {
let max-wealth max [wealth] of turtles
# M# I4 c' c* h6 L/ \, xlet min-wealth min [wealth] of turtles; Z2 |+ ?) L6 H2 [ _- P C& T
if (wealth <= max-wealth / 3)% X( b7 @/ h* R4 Y& _
[set wealth wealth + Low-income-protection ]
5 t B: Y; W% a! N& Y" p1 C. ]end
! H( q; {) n0 `. C
/ h) ]. R% |+ r/ V4 Ito recolor-turtles
: f8 X0 z3 Y# s6 S. W let max-wealth max [wealth] of turtles( O$ v8 p8 @& @/ U, m8 i4 q3 i3 k, a
ask turtles5 A7 P* `0 K1 j3 G
[ ifelse (wealth <= max-wealth / 3)+ b4 [; Q5 r4 h, N
[ set color red ]
. ^& w C. F# G& G- N [ ifelse (wealth <= (max-wealth * 2 / 3))
' ^8 q1 {( G( d+ Y7 J# T- m7 ?) c [ set color yellow ]5 H3 [. Z# z. `7 {, p% w. R i9 {
[ set color green ] ] ]$ a8 K) E3 E( M
ask turtles [ifelse show-wealth?% C% v+ u& y5 g3 [( O+ }/ {' j
[ set label wealth ]
5 q3 l b& p3 N. N, o/ B [ set label "" ]]
$ n- F/ @$ c* b- Jend
9 h7 I0 s) s" b; r V) ^) X- ~
# S9 O z: V% Y: Kto go
3 b" S3 Z7 @, C5 ~: e ask turtles9 q, {/ e' N) z& C. @
[ turn-towards-grain ] . q. u! O; R7 q G# H: X; k
harvest* L! u2 B7 d3 J' G6 c) B
ask turtles8 \- t' u+ y' M- E0 z
[ move-eat-age-die ]' T. M- V2 P4 l4 y' E6 `; T
recolor-turtles8 v7 e; g7 O. H. D$ N5 e
if ticks mod grain-growth-interval = 0
' H7 z# K. v. T8 ^6 N [ ask patches [ grow-grain ] ]
( [* x" ~& Z, N: q% s) T; |$ l
( T. m; F$ F8 I0 n! y& Q9 S/ G0 B4 m. p if ticks mod 11 = 0
& M4 A/ n" j3 j [ask turtles: D& X& M' V% U& s) _; F8 [
[ redistribution ]]
; r/ l" Z* L' m! N. t if ticks mod 5 = 0 G! k4 L9 d0 o4 \
[ask turtles! Q$ N/ _0 [/ I9 j
[ visions ]]
* v/ D7 k5 {/ v tick
# f9 r f( J b3 i+ {. m; x5 F update-plots* o6 P1 b$ Q, p. v
end
z! `, ^3 [! k, c6 Q* eto visions: b! ^, t! V6 t
set vision vision + 1 / d8 N+ o* A3 ]0 Z- \; }
end4 `) ~' I6 t/ D1 k+ _0 \2 h; w
; J/ w4 j" @' ^# t* D' B: ?5 [: W% I' _8 u! A) A& `4 u8 w; I9 s% V
/ s% K5 O- Y2 b9 D |& Oto turn-towards-grain 8 ^/ Q$ @$ y! f% L2 Y, I
set heading 0
! R2 S# m7 B( L* g. J3 ]; V- D let best-direction 0
2 `8 J! ~' F2 H+ s let best-amount grain-ahead
5 S4 y- L4 h" ^ set heading 90
- t" x, K7 |9 w5 S# S if (grain-ahead > best-amount) W$ J. F" b" i, [
[ set best-direction 90: Y7 S: r4 J9 R3 C
set best-amount grain-ahead ]5 i9 m( U% R5 _) ?, m3 X
set heading 1804 @$ G. H: o( G2 v& d: |+ g' [8 r
if (grain-ahead > best-amount)
) c$ X+ s" ^8 Q' S! _8 x [ set best-direction 180; e3 h9 j7 Y8 N9 o6 i: {$ W
set best-amount grain-ahead ]
9 p' U0 B, u! H3 K. L" E2 k set heading 270
+ _# Q) l/ r& H# ~, N% H. Z if (grain-ahead > best-amount)
# n8 R# ]. E' G' |" g [ set best-direction 270
* Y6 u$ g0 r) x" `# X- } set best-amount grain-ahead ]: Z, \( i) X; t1 l
set heading best-direction% A6 u8 _( ^5 E6 y
end
; h. p1 x! e. N# h1 h0 p& o! {/ _- g6 i. h* f: K1 G9 u
, f% k* r' ^( t! _6 n
to-report grain-ahead " E0 I2 V0 \# d7 m5 s
let total 0
" t. [8 u s! _! C" z# _- \" \: ` let how-far 1
* C4 a; [5 ?% _, \5 C+ n: k* g repeat vision
- b0 x: L; k; f [ set total total + [grain-here] of patch-ahead how-far
3 p" k1 u$ u0 p' l% `4 k( _ set how-far how-far + 1 ]' @, ?4 W# v( |2 Y; c7 ]
report total3 z2 F' D9 g) Y7 h
end: R* z4 i/ Z; f' K, u
6 E1 u% S- u1 q# o7 Q( Uto grow-grain
% Z. h, F# k3 d4 g" \+ L- {! ? if (grain-here < max-grain-here)
4 g& w9 a1 d2 y, k8 k; G [ set grain-here grain-here + num-grain-grown, `4 ]4 r$ _% T
if (grain-here > max-grain-here) : k# E8 Y3 H( Q5 K& J- [5 k6 Z2 n
[ set grain-here max-grain-here ]
, y" X# d" D& N6 E5 l+ F recolor-patch ]
7 W# r; p9 d* g# Jend
; J$ u: |2 T6 B: {to harvest" o. _! `+ @+ s+ l
ask turtles) c% C- f: r' {! i8 Y |; `
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 Q7 d& o* ^( g$ o ask turtles: R( @8 k, ~. S" K' k
[ set grain-here 0) K+ n0 x! o( I+ s* K% h
recolor-patch ]
2 ^( k- \$ u' w' K' O* h |
5 ^3 x$ O6 o9 fend
, a0 I9 v$ F+ Y6 M4 D4 N; J/ Y/ B. D3 `0 O; W; ]) C+ `9 H/ ~
to move-eat-age-die - |& G& ?- s' k1 f4 @* q4 X Y
fd 1
" [- _ i, o% f2 y2 r$ j set wealth (wealth - metabolism)+ ]0 [( S6 s9 d4 ~0 O
set age (age + 1)/ |* I' ?. G3 ]( u5 e
if (age >= life-expectancy)
( ?! F# `, Y: ^5 s/ o: @ [ set-initial-turtle-vars-age ]
& A4 B! V, q3 P8 o1 W if (wealth < 0)
1 P9 }2 A6 i1 o1 O# E [ set-initial-turtle-vars-wealth ]
. K1 ^# t" m% B: u & M& {6 g- g: a: ~& l, e
end( B9 o- g" J1 W7 `9 E6 o; c
u, k% b8 }8 t+ `. `" S. {& [7 w5 s) ]. S' s- m6 [- l
to setup-plots3 o$ g+ g5 E, l
set-current-plot "Class Plot"
$ y3 A9 o0 }0 r set-plot-y-range 0 num-people
* b, Y' t1 Q7 I set-current-plot "Class Histogram"
+ M0 g, \4 |1 z) l5 ~4 ^5 K3 r set-plot-y-range 0 num-people3 I. S: u& `9 l
end6 H) e- V* i; I/ O5 u
o9 X0 |! B7 E' U
to update-plots( `7 ?" G* R3 r- w- d3 J# J0 \
update-class-plot5 Q. c/ P. l0 h) N6 ?
update-class-histogram
# [# n M& a* x/ }6 v+ I. R update-lorenz-and-gini-plots" ] a6 f: @6 n. z9 u7 T' J/ W
end1 ^! Y. A: G2 x: j x. B0 M
/ ?% l) H6 {2 A9 \5 b
to update-class-plot: E# J3 ^$ m1 L2 B8 G* B3 g- |
set-current-plot "Class Plot"
. p. |) [2 v1 e' i; E* B: g set-current-plot-pen "low": j! |5 S+ Y# Y: Y3 {1 F6 L
plot count turtles with [color = red]
; ~' W+ G, X! Y! ~7 z set-current-plot-pen "mid"6 A6 i# C0 O" l- s S. p
plot count turtles with [color = yellow]
/ i$ H7 _1 U' h. W set-current-plot-pen "up"
+ c# c% F" z+ T# o plot count turtles with [color = green]
# ~9 E: n3 @4 @. q, eend2 _- F2 F5 J* p) V3 F: c4 ?
" f# a4 M% V( E1 p$ s- gto update-class-histogram8 Y# k' ^' y% z8 ?( ]" D
set-current-plot "Class Histogram"- Z& a3 C7 V. {* P3 `
plot-pen-reset
) V1 d: H4 C( _3 h. I# \ set-plot-pen-color red9 E9 v8 y/ V; u* E: @, p
plot count turtles with [color = red]
$ j6 ^! E5 K8 s2 k7 x9 y3 x( ` set-plot-pen-color yellow4 ?+ _7 v/ b% r. S
plot count turtles with [color = yellow]2 r. d1 K* |( T8 c* a* {' J
set-plot-pen-color green
+ l$ \& e# ]6 M3 D plot count turtles with [color = green]
2 w3 {+ q; D$ nend
' m4 F# w9 X: ^2 n$ Pto update-lorenz-and-gini-plots
5 x9 O5 j. a+ z' [ s- f1 ] set-current-plot "Lorenz Curve"
5 j2 O1 {! D4 a5 ]0 k3 A7 U4 c clear-plot T5 \! X. T! `4 x
Y/ e$ r6 _( l7 _; h
set-current-plot-pen "equal". P% i8 m* K0 o+ R, V) N2 A6 z1 n6 w
plot 01 D+ d( t2 T9 v8 e- [+ {; M; {
plot 100& Y4 D4 c+ X+ y. o7 b8 P0 O
6 e$ X a9 t7 D. j set-current-plot-pen "lorenz"
. }! F9 H2 E5 C* d0 Z3 E" G5 u* u' t set-plot-pen-interval 100 / num-people- z% A! Z1 |" D' i$ I1 q$ [
plot 0
. r: M! k& u0 k* k
/ k9 A5 ^" g( Z+ V [, P) v6 Z! A: h+ f let sorted-wealths sort [wealth] of turtles. E) z% `+ r) ]
let total-wealth sum sorted-wealths
3 J8 r, |2 N: V4 ^1 B let wealth-sum-so-far 01 K) ?/ j) G: M, E
let index 0
/ G: f I) e+ n. S% g7 o$ y. `; o let gini-index-reserve 0
J$ |% q6 V b, J9 y8 Y4 R5 F* { l0 I) { r8 k
repeat num-people [
! ~9 m4 Q9 i* E. d set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* ^8 I/ _1 ?+ L- p& Y plot (wealth-sum-so-far / total-wealth) * 1003 f% U6 x" K% o; J" D7 m
set index (index + 1)3 _) `% o6 i( t& r
set gini-index-reserve
3 U! Z8 x3 |/ ]; b0 V m! C gini-index-reserve +
( L1 Y, S' Q* B9 S- d/ v (index / num-people) -
5 ` ?4 m4 ?! j, _ (wealth-sum-so-far / total-wealth)
" J7 w% c6 w# o Q# _) a ]6 H: H( G O- f- J( P, i( N, [8 Q
1 u m5 {; P, p( ~; l9 r4 G4 v1 D set-current-plot "Gini-Index v. Time"
; w3 t Q& N2 d( m5 Q plot (gini-index-reserve / num-people) / area-of-equality-triangle
' _8 m0 f. U4 `0 _- _( pend- n" r- j8 y! R' q! L
to-report area-of-equality-triangle
& P9 A' c( Z- f' H3 U t+ { report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
: G( Q$ N/ ~, T: t- wend |