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
5 Q1 x2 y/ _% K( h) K8 qglobals
& b1 ]8 C8 r [7 l1 k/ u[! m/ y- h) I; b$ w* B4 a
max-grain + F) {8 r( m* \( i# U1 x; ^7 v
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]
$ d- U# k/ q$ g* e) J3 K/ l/ E4 J. Y& h# }* ^5 j: I! }9 v
patches-own
1 J2 W. c) i1 a[
# K/ C3 H" A2 [# u1 _ grain-here
( M+ s1 m4 b2 v& P- h6 N: Z, L; J) C max-grain-here
/ M6 T% B, f" h; F% h, t. Z]
- P ?2 h0 w- Q$ X7 s0 t6 m" }, I4 E; Q5 d$ {6 \ e
turtles-own. e! V B8 H# P% _+ {9 Q
[5 \" \4 \/ H; P8 o& W2 O
age 5 W) J$ A- O0 u+ N3 |" \# Y9 _) l
wealth 2 d3 ~9 D" ^3 j
life-expectancy
. D9 |7 a1 y; \7 A S: K1 h- ?, n metabolism 7 H( ]* e8 j ?1 f2 Y
vision' z( b: }5 h0 u8 }2 {/ H
inherited
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+ v3 H- f, P- e( T6 V$ {- O( J# e" |3 ~( }
! ?9 P2 n& L5 l: G8 F, p( Xto setup5 s: Q7 t0 Z# K$ N/ X: c
ca
$ A- q* w# q0 M: ]: u set max-grain 50
9 h" t, V! ~* K# r6 Q setup-patches
: R" e7 m" I. c6 x* u- |( L setup-turtles5 y) M Q c: n [; F7 f* _
setup-plots' ~" _* }: Z1 k& Z$ e- ^3 p# b+ o7 t
update-plots. r# \! b! f1 Q0 m5 K7 [3 I) [
end
! N( k2 n ?1 M( |! \to setup-patches
3 c% D4 t/ P% R% n( T ask patches
8 n* p, B& h+ ]* I0 ~/ j/ } [ set max-grain-here 0
9 U: S. D( U$ I& g6 @. M" S; S7 [$ V if (random-float 100.0) <= percent-best-land
; K7 Z3 b# P& M! h6 b1 [' a% X! z [ set max-grain-here max-grain& K* @' L( X- j7 m3 L( P
set grain-here max-grain-here ] ]+ m# u- N- c( j; t( m, r- e
repeat 5
7 p# q2 T! x4 `2 Q- b [ ask patches with [max-grain-here != 0]
- a) V5 H; N9 [( f [ set grain-here max-grain-here ]" W8 h, E1 J/ G, X/ Y' `) M
diffuse grain-here 0.5 ]
1 n5 t6 U# \! j% L ?! w0 H repeat 102 U$ B, @+ B( J) N; L+ M
[ diffuse grain-here 0.5]
4 c: @3 C8 }7 c+ c& p" [# g ask patches
/ T: d+ Z* K. h9 A& d2 i @: ?; h [ set grain-here floor grain-here
& h- n! n% {3 q set max-grain-here grain-here 1 r. v9 c5 R" M' \- \ S
recolor-patch ]
; C* k5 ], v ?1 [end
. n; Q9 u6 Y+ L7 q [to recolor-patch 1 y; T5 c4 [& a/ W
set pcolor scale-color sky grain-here 0 max-grain* N# I* S, k1 Z) Y: H
end
5 X1 m u3 P( @( Y4 |to setup-turtles! E$ {6 @" J; D8 n q; W5 k
set-default-shape turtles "person"
4 j0 Q$ n: w. }/ H9 J crt num-people
$ g5 G0 ^8 J; V$ L [ move-to one-of patches
- _; a2 x9 S5 r# D set size 1.5 ! `5 j% ^0 ^, u0 C. g
set-initial-turtle-vars-age
+ m' m' Y H- [3 R$ a2 C2 k set-initial-turtle-vars-wealth
; E% f8 m$ a/ F# |7 w+ @0 e8 S set age random life-expectancy ], q2 G2 h; v; n' v" B" O! `( K, L2 p5 a
recolor-turtles
/ A; x; |% A% Z* ]6 H. Jend
# P' V; [0 O& @; w# w- q; a9 r: U
3 T9 Z) T+ t- G! c: jto set-initial-turtle-vars-age
# _: u/ G) c: X* h; V let max-wealth max [wealth] of turtles7 b4 j% R2 m5 Y, Y! s) i0 X
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ifelse (wealth <= max-wealth / 3)3 X- A& c8 K9 @- l
[ set color red ' Y+ V( m1 p, U& L
set age 0
0 c' Q( e, s: J. X face one-of neighbors4 1 I2 b3 Y; H" o% W$ [( X8 ]
set life-expectancy life-expectancy-min +0 o* b: o- T9 q
random life-expectancy-max
! V* w' B) P7 P* V( U g set metabolism random 1 + metabolism-low1 y+ D5 k9 j+ d4 Y( v D# z9 c
set wealth metabolism + random 304 x8 ?4 w& Q; f" E' E- ~/ _/ v
set vision 1 + random max-vision
$ y1 B- W5 t9 M5 Q2 _ set wealth wealth + Wealth-inherited-low ]
; x- ]) Z$ l. q [ ifelse (wealth <= (max-wealth * 2 / 3))
6 g- `8 A! d; Q [ set color yellow ; q* }$ [, s% \2 F0 N
set age 0# o/ X2 n. |0 U. `
face one-of neighbors4 - f) G* V( r- t- `
set life-expectancy life-expectancy-min +
: O4 I- M2 v2 `- e: U random life-expectancy-max + 1
; a, @/ }+ [! W" y set metabolism 1 + random metabolism-mid0 A$ E* _# [" ^# a* g: y3 {0 k: _
set wealth metabolism + random 30( ~6 W" m/ e$ I4 s! l& \0 d* O& i% @% F
set vision 3 + random max-vision5 ?7 h2 Z3 p2 a' S7 ?4 \
set wealth wealth + Wealth-inherited-mid]0 d1 W* u h9 B, s4 r" \
[ set color green
8 D: v$ w* `3 W7 L set age 0
; e! f" _& y$ w& C. x5 C: c face one-of neighbors4
3 J' l6 B' K. U, M+ Q5 x set life-expectancy life-expectancy-min +
q% O9 K8 W% e8 I% D4 H2 H4 e random life-expectancy-max + 2
7 n" z# i3 W6 R* F set metabolism 2 + random metabolism-up
# X6 B6 Z- C& x' v/ o1 X6 d" o set wealth metabolism + random 30/ ?" Q1 a9 G2 W3 e; ^
set vision 3 + random max-vision# f N2 _# T7 e
set wealth wealth + Wealth-inherited-up ] ]
3 [* w3 N+ d* u. {- }' J! m , u: O( V% z" K* V5 ]" J
end) N$ ~& l+ B$ G) `, t, U1 g V
to set-initial-turtle-vars-wealth
/ U1 _7 u7 e; |, ?+ V6 H7 ?1 R/ w let max-wealth max [wealth] of turtles# f4 }" k9 o# j0 f% E* k
set age 0% N3 u0 l9 E* t) f# e
face one-of neighbors4 ! G; ?9 ^* Q7 m2 ~9 \
set life-expectancy life-expectancy-min +- c) m2 [, y% U. U
random life-expectancy-max + N* V& l8 l& D! p- I
set metabolism 1 + random metabolism-up0 c8 O7 y- U8 G- E/ D. R. M
set wealth metabolism + random 30% H8 Q# P. F/ c0 A
set vision 1 + random max-vision
: v/ ~! i9 {3 t+ L9 L9 jend4 S% |0 L4 M" U- U
to redistribution
2 G, j, Q7 p; v4 E) y' Z; l6 ^let max-wealth max [wealth] of turtles
) @+ Y* ~" B% t/ Elet min-wealth min [wealth] of turtles2 F! o! N$ \2 `
if (wealth <= max-wealth / 3)' i3 i" k' _. y5 P) A8 x
[set wealth wealth + Low-income-protection ]
( m* |# \! P2 e ]- t0 Q! Dend' \* n8 c% ?9 y) L, a) R6 I
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to recolor-turtles
( q; n' g7 r' [4 u" S let max-wealth max [wealth] of turtles
$ F3 Y& b2 r2 b& `: p$ U ask turtles. ?* S% u5 ^! Y; n( f, @
[ ifelse (wealth <= max-wealth / 3)) b" s' ?$ C2 i
[ set color red ]
9 R- e6 {& p0 e( y$ N" Y [ ifelse (wealth <= (max-wealth * 2 / 3))7 p+ o5 m$ i' _! d" t0 Z% g
[ set color yellow ]
' A7 n: R c% a# W [ set color green ] ] ]2 g! A8 r& ^8 ^( {! ]7 S
ask turtles [ifelse show-wealth?# [& g/ u4 @) y: g$ f0 h; L% L9 l" H
[ set label wealth ]# I: O% O7 I2 j' b& V0 K4 v/ g8 s
[ set label "" ]]
# q4 W( ]& q2 B! ~6 a( k# Iend
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6 n% s3 G' S9 _' v0 N; bto go! y2 h% L* {) K/ U
ask turtles( X( u' E; D% x- V! Z
[ turn-towards-grain ]
! y& g8 E. q" A5 _- ? harvest
0 ]- e. N6 \: k( B ask turtles
9 D2 y6 p5 D t e* n- b7 H [ move-eat-age-die ]& O6 h% n4 @& h) \+ |
recolor-turtles+ p: ?: w- H! z: ?9 }
if ticks mod grain-growth-interval = 0+ a1 [$ c* _0 e" Y% }
[ ask patches [ grow-grain ] ] X! o7 B0 S7 |& O
0 E! Y: n8 k) d" V6 k% d0 o$ p
if ticks mod 11 = 07 K3 \- \6 {: _* b
[ask turtles7 _) ?/ v3 `; Z& w a
[ redistribution ]]5 E: f$ @- m* h+ y. `, M' G
if ticks mod 5 = 0
* X2 |: W/ }' M7 r [ask turtles$ R$ X0 u+ J% l9 m
[ visions ]]
0 s$ G0 v; W) |$ ~( N, V7 s tick% B$ N4 ?8 T- O# ]0 T% ~" ~$ v% i
update-plots
* m: {! ? q% A, W. I9 v6 ^: ^& x: Fend y, N) ?4 D# Y3 {# D1 y" S. H
to visions
- |8 V3 Y% r" o- o( I! [ set vision vision + 1
( G9 o3 }; m1 d3 r0 \1 ?end) K/ s, W! O# Q
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5 ^, @' \, D, C- y8 n! {2 N' L
2 s/ U7 p4 e6 d: o& X6 |to turn-towards-grain 2 {4 N0 t, t% G- {
set heading 07 E1 G) v$ g. J; \' t0 R6 p: v
let best-direction 06 `% {: t- u- {" Z. R
let best-amount grain-ahead' ~9 w, `1 l$ M9 G- Q1 {3 P1 k1 u
set heading 90: U( l- p* {$ O4 N
if (grain-ahead > best-amount)5 T/ y% w3 t0 z3 L* a
[ set best-direction 90
$ b$ M5 B9 A: \( S, X set best-amount grain-ahead ]3 O( ^7 v7 M5 s- N l- [5 J
set heading 180* y1 f, o" `- x& b8 f& [, ~% D6 B( D0 j
if (grain-ahead > best-amount)
* K5 B g; \ F h/ h& O4 I [ set best-direction 180
* u( A0 b; P- Z5 [* \3 M: p set best-amount grain-ahead ]
6 a! I" |' N; t; u set heading 270
' d8 S6 @: s# K5 q if (grain-ahead > best-amount)
) Y1 S0 }8 w/ ?4 J7 r; K2 l* `6 `/ v [ set best-direction 270
, X. s/ n8 U. V" K" S8 K set best-amount grain-ahead ]: r6 j6 c) r l# L+ Z( x- H4 u2 m6 N
set heading best-direction
$ J3 U/ z: K5 X8 @! v. eend
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) w/ y2 b0 w- i. d: a+ Z# b1 V1 Q. _1 j
to-report grain-ahead 9 d9 `. t# h. S. o8 D" t
let total 0
: c* ~, ?4 o6 `/ m( Z% M let how-far 1
) {8 _- m0 C6 Q; S repeat vision% b% U, g. N$ d: ~, X0 b- r
[ set total total + [grain-here] of patch-ahead how-far
, n; T: t3 z& X1 |- k3 J set how-far how-far + 1 ]
, X" r4 V5 f. }2 S report total) J% x. M3 a- t; ~% f& s6 `
end2 d+ `1 D% |" ]
+ I. ^, e5 }) Eto grow-grain N" u2 T4 P# F, \/ U8 ]
if (grain-here < max-grain-here)
3 e" l% O. b0 l+ a2 t [ set grain-here grain-here + num-grain-grown& w* G6 }$ Q/ w7 Z0 G8 x5 I! P
if (grain-here > max-grain-here)
) W' r- |: u! n3 v: C w [ set grain-here max-grain-here ]
6 @7 |/ E( m! W: ], K# _, h: c4 v recolor-patch ]
/ J2 ?/ E/ ~) S' j# tend. b `& C8 v* T) p8 M2 A+ a$ B
to harvest/ c7 A% T6 }' x* K8 e" ]5 | L- F
ask turtles! X0 k+ r8 s0 u, j* L
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. I* k8 @' w7 N
ask turtles) q2 O3 ?8 g( }6 L
[ set grain-here 0
0 W$ [; F+ A' U% E6 s5 u recolor-patch ]
# `# e" R+ b) V) K' f1 h7 j" I$ Y
2 o! |9 r8 \3 A T$ p5 X3 g+ }# Cend" F- ^" b1 O- K& i
& U- s( I3 g, Y* U7 J/ h3 U
to move-eat-age-die
1 B; {: D% ?2 v( x7 O fd 1
n+ Y+ b9 a/ o' J8 Y4 K set wealth (wealth - metabolism)
1 O) S* i2 s! a& y7 }# _$ r set age (age + 1)
7 n2 p7 R7 \3 Y if (age >= life-expectancy)
! f5 ]6 [# p9 s: s" b) Q$ S8 S* y [ set-initial-turtle-vars-age ]
) j" c+ s8 Y5 @$ y2 N if (wealth < 0)% d! A) X, ^( p7 Y
[ set-initial-turtle-vars-wealth ]
8 F, p" C# I: v1 Z0 G 2 G# c* G1 R) D- L
end
0 g2 w2 d; K5 z/ ^% f: i9 H- u
1 ]0 i4 | I$ z4 O3 Y. Q9 Z5 r
. p( s# W9 i6 ?3 f G9 q0 s$ sto setup-plots
. G0 g, n2 h! e set-current-plot "Class Plot"
0 }" N; e' @! \* ?! j0 E0 |( f; e6 q set-plot-y-range 0 num-people T) @6 u0 U6 a
set-current-plot "Class Histogram"
+ J6 s6 H/ h+ P set-plot-y-range 0 num-people" b; P; n4 P& t: [4 P
end% y; k, l+ R1 O. z8 \1 M b$ y
. _/ I: q( _* g6 Y: v( f; P
to update-plots
+ R# |9 j* n3 ^0 [ update-class-plot
% Y) _$ k4 w" @' c* I5 K update-class-histogram
/ a6 Y, E/ x5 P$ e3 v1 P+ D update-lorenz-and-gini-plots
, ^ _8 { ~ V' ]3 jend
: V2 L/ e$ N1 e: o5 {9 J% d) G, y4 Y8 C6 Z3 M8 a
to update-class-plot
# z. n: V6 b- u* C( [$ A set-current-plot "Class Plot"9 W; t9 A& L4 U6 [
set-current-plot-pen "low": u# c1 U* [* ?
plot count turtles with [color = red]6 S7 ^4 e) g5 p6 Q9 c* H7 a
set-current-plot-pen "mid"
j: b J2 Y3 |7 v$ i6 O0 R# v( O) l plot count turtles with [color = yellow]
! R4 f, Y8 [7 w: d9 b. V set-current-plot-pen "up"* r6 ]) P' R& q2 `/ i% y9 M
plot count turtles with [color = green]- |6 |: b9 w' T' A6 _
end
# }, `5 Z! a J! }
) H- j5 y% s; q6 H: N2 A& `6 |to update-class-histogram
' @8 Q! a. M7 x% r) { set-current-plot "Class Histogram"' q7 ?" J( ~) z- B1 n7 c0 O& d8 `
plot-pen-reset
( |- t0 I4 R, b set-plot-pen-color red
' ~% X. S7 t6 U& B2 q! _; I# f plot count turtles with [color = red]9 x" A# e+ C* Z% F/ {& ~0 f
set-plot-pen-color yellow( h( B0 |, Y0 V1 @" ^
plot count turtles with [color = yellow], c- `: j! m% b2 O- x+ v0 A8 O
set-plot-pen-color green
' @: G- B# v& ^+ G" r1 Y5 {. j plot count turtles with [color = green]; Y( G: w2 {6 `6 X% p
end
5 O" |0 s* ~- Z8 {) Sto update-lorenz-and-gini-plots" u% H0 k" A- I0 P
set-current-plot "Lorenz Curve"
5 O) G: F# Q) P( d: I clear-plot
/ e% a+ h: P% c8 s; \) `$ z, ?, t9 `8 z3 U) P3 M/ Z5 x, K3 d
set-current-plot-pen "equal"* {0 u. S% X" L- q+ S
plot 0
$ r5 z$ ~) V/ d- N$ }- y! S plot 100
- J' s. B- X: h6 m; ]9 b) G: P
; c- Q1 {' |$ t' G4 e: a set-current-plot-pen "lorenz"
" F2 @- @4 ^ y3 x0 V set-plot-pen-interval 100 / num-people/ w* E/ u( Y3 I, e$ w3 p5 G
plot 0' p( Y* s O) F' y- @8 q* F
: |' [ n% f/ g* k* q+ W let sorted-wealths sort [wealth] of turtles
8 l' u( G: ?9 c let total-wealth sum sorted-wealths
; R9 D7 m8 v+ Q let wealth-sum-so-far 0: M$ G4 v1 k0 @5 h
let index 0/ F: P6 W7 Y7 z; q! Y" a
let gini-index-reserve 0
0 K. [+ b/ w- I- v7 W
* T4 k6 J% N9 a* s. M) {" Q: k repeat num-people [& M% y" q- b: Q. W6 [
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ ?3 } h# L. k) Z/ E
plot (wealth-sum-so-far / total-wealth) * 100& B& ]9 @4 f- f* T% j1 A% E
set index (index + 1)
/ g& x* K, } s0 Z8 O/ ~ set gini-index-reserve3 w0 z. }# D; g# r* t# L1 H
gini-index-reserve +
4 n# T7 ^# j+ B, T5 M (index / num-people) -' M7 d- _+ s) w0 b6 k) h
(wealth-sum-so-far / total-wealth)4 Y/ R) B& R& g5 O: R. ~
]
1 f/ j" Z( G1 r3 p
( {( w; G8 J" M' v) d set-current-plot "Gini-Index v. Time"* \- g; L! l/ V) U$ i
plot (gini-index-reserve / num-people) / area-of-equality-triangle0 w& n/ m! M. s
end1 n7 l# j5 F) w: c) Y
to-report area-of-equality-triangle
7 _% Z! Y. _5 f4 O3 |# _ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( f l8 N1 F# G5 d) Eend |