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6 E9 Y1 e& O6 B$ B2 L4 X7 j7 h
globals
3 W2 k. C2 \& r' E$ A$ k& P[
# E6 X7 q, @5 R& i' ? max-grain I2 i6 q5 g2 x% c
* g; p# ^, X9 E]
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, }2 H- I( d. _. V% H9 _; {patches-own# ^/ p4 o" T, n9 D* Z
[
; N* F* T# z, ^: @3 M z, W grain-here 3 Q S$ o& F9 n: \$ z, J
max-grain-here 4 l* Q* x% y; k8 p
]- b. M, J* A& X0 W& h
! f, ?# ~' z" g: U0 m% C7 kturtles-own
4 _* `, L/ [. B: B% k6 h! v[
( w5 X/ j% c& \+ P2 Z. H age
/ z9 A! ^9 `+ Y! k* Z- l" C" \ wealth
! X7 [ y- ~. F9 l \ life-expectancy ' D* K% _4 \0 R( y
metabolism ) @3 m# b+ b6 k
vision4 ]3 r/ l# v, A; q+ l$ o( I- T( a* x
inherited ; d% s" j/ F6 O7 b
]
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+ k/ m+ v2 ?3 ~- W6 n+ t
to setup: E6 q7 \8 z) Y \, G5 o& m x. P
ca' Z0 m+ M8 G- K' G5 U, @
set max-grain 50
9 {8 u' [1 W* B' P2 x$ L) n setup-patches9 R/ f# ~! I: S& ?* ]! I& B
setup-turtles
4 L4 G$ @& |* ^/ G9 N5 x6 ]" `% ~! h setup-plots
1 v8 W0 z; O/ } s- ~; C9 S update-plots
5 `; q z0 m3 x4 D8 z/ W' T/ Qend
4 I4 K: K+ s& L2 j( M% K5 ]* Fto setup-patches
4 i7 M9 `+ `& Z+ j ask patches; p% a j4 u, N9 [0 h6 W* T5 [. S" L
[ set max-grain-here 0
3 H! k7 D/ r# v: T0 c5 b3 F6 N if (random-float 100.0) <= percent-best-land `) S, ]2 I. D( U5 C7 C
[ set max-grain-here max-grain+ M; i) `4 f2 i
set grain-here max-grain-here ] ]9 j- Q+ x1 J6 \& k' h+ i O
repeat 53 T9 C0 p) z6 t. e# N' ^0 N1 @5 R
[ ask patches with [max-grain-here != 0]3 |- X: C' Y; q& o4 f3 x+ p* `
[ set grain-here max-grain-here ]/ f6 g' D# \6 }9 i( y- s/ G
diffuse grain-here 0.5 ]
- x K' k, \. U' Y& c4 H repeat 10
/ N% z, w/ O4 l [ diffuse grain-here 0.5] ! Q. {) H0 C+ @5 B
ask patches
* T) p# g( u, W# E* ~2 F [ set grain-here floor grain-here
& Y# n! V7 j1 n3 q% h; u set max-grain-here grain-here e& b( K7 w- Y" Y! G: E# f
recolor-patch ]
! M) T0 ^; G$ m: J) ?5 Lend" h7 U- F9 I* M/ B0 W9 O
to recolor-patch ' `$ d9 q, K& a
set pcolor scale-color sky grain-here 0 max-grain+ j+ r4 v2 I7 R" f p
end: f- n0 ]; P4 u% `! ~
to setup-turtles* j' f# s! e8 d! k- r2 s
set-default-shape turtles "person"
* V/ |4 k. \/ X& O2 o' J1 H; l crt num-people
" ]4 n! p3 F- @ Z2 f- U, p" N [ move-to one-of patches ; f4 d+ h$ J- S. ?) q. K, ]7 C
set size 1.5
0 t5 p7 a$ w. V) t, r2 Y set-initial-turtle-vars-age1 {5 X7 v( o' `6 M
set-initial-turtle-vars-wealth6 W. {* B5 [8 q$ {0 m
set age random life-expectancy ]- Y& t+ B) f- f5 h9 T1 R
recolor-turtles
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to set-initial-turtle-vars-age* G6 u; u4 L, G6 [: i8 t3 C
let max-wealth max [wealth] of turtles
+ f/ s" X/ r7 M @2 [- Y( x$ ^9 y1 X
ifelse (wealth <= max-wealth / 3)
: O. ]+ r7 S K/ c }# Z7 m [ set color red
$ Z& J2 U4 [4 u8 {) E& R set age 0
0 q; F/ P2 ?) J3 X% Q face one-of neighbors4
+ A! e& a0 Q/ r' H+ q" h1 \5 k set life-expectancy life-expectancy-min +
# r/ p8 Y! z" `; Z: c# w) o% u" ?$ s random life-expectancy-max & g$ x6 o, g* Q% `5 e
set metabolism random 1 + metabolism-low
% q0 s' r/ _, k+ Q' ~$ ? set wealth metabolism + random 30
' M/ `: V6 [, W: _- `3 F set vision 1 + random max-vision8 N0 \6 I9 D: P4 w; X- u
set wealth wealth + Wealth-inherited-low ]4 L& P: e- x; A+ r" B2 {
[ ifelse (wealth <= (max-wealth * 2 / 3))& l& G% I* e' L* _$ e/ g' k
[ set color yellow
# a9 p! t1 A2 X6 d/ d set age 0
0 K$ \; S1 w2 _: h4 ?8 o" Y face one-of neighbors4
! M- b& f% g% z) X: b6 a* k% r set life-expectancy life-expectancy-min +
3 _0 d: l/ W' u1 s4 R8 z3 b random life-expectancy-max + 1
7 d% ?' B0 V. L1 s$ U" ^/ r# h set metabolism 1 + random metabolism-mid' ]/ }* \) p& n/ v7 L$ e/ F
set wealth metabolism + random 30
. x, Y7 \ a9 N8 d! h9 e+ G3 A set vision 3 + random max-vision
) _9 P" I) t8 Z* \8 j& G7 B set wealth wealth + Wealth-inherited-mid]
& y- T# x. w) k- R: b2 ]* d [ set color green
# G6 u# p8 e6 B G: m set age 0
+ a) T+ t: h) H, ?- T; ? E6 n face one-of neighbors4 , j# y* y! x/ @
set life-expectancy life-expectancy-min +$ x/ }0 D+ M/ k x6 ?+ P
random life-expectancy-max + 2
4 ?9 p; v2 J) q5 `1 t/ k set metabolism 2 + random metabolism-up
/ _/ A, q3 o" K+ Y) |, O set wealth metabolism + random 30
/ J9 S; }. H6 Z2 w: _: |% x7 t set vision 3 + random max-vision
1 \: s5 R7 \4 ` set wealth wealth + Wealth-inherited-up ] ] 6 r! B) v$ J* u/ @
' E& Q4 K$ N4 y; S3 ^
end
2 ~/ {. J) z! Fto set-initial-turtle-vars-wealth
# m' H) C' l9 j5 n$ a7 u let max-wealth max [wealth] of turtles1 W9 n2 d7 y7 p9 l
set age 0" J5 w2 o$ z* d
face one-of neighbors4 ) L% y; Q d) _4 l' v0 @
set life-expectancy life-expectancy-min +- {( n- J7 [5 x* P" x. F
random life-expectancy-max
* @. Q: w9 B$ ~0 H* d( L) e. L set metabolism 1 + random metabolism-up) T7 E _' U# k
set wealth metabolism + random 30
9 R; O. Z0 z' g set vision 1 + random max-vision
* a& p9 t. `! m4 wend9 S ^4 e# Y$ j: P# h- ~0 G
to redistribution
! N; e( u- F4 d9 O \1 Z6 Alet max-wealth max [wealth] of turtles
3 U7 |+ \. Z3 q$ q8 glet min-wealth min [wealth] of turtles+ |+ t& j% m1 y' v/ F, ]: p
if (wealth <= max-wealth / 3)/ e9 ?5 R, I* \( o. ?
[set wealth wealth + Low-income-protection ]7 q* { x- Q: e+ Z. K
end+ x# k* K* Y' ]: r5 ]' R' W1 n9 y5 w$ i
% Z' D' w q _0 D' U) oto recolor-turtles) C% k8 X+ g4 L! r
let max-wealth max [wealth] of turtles
# ?( `' a3 B3 m: h ask turtles5 j7 a( b* a9 x$ j: C) J
[ ifelse (wealth <= max-wealth / 3)6 j; A6 ^- Y$ z7 I% ~0 z2 A
[ set color red ]
- m! t1 }- \9 p$ J8 d5 y, ~2 A4 v2 } [ ifelse (wealth <= (max-wealth * 2 / 3))
" x1 W" E$ `& g0 ]% F& e# k [ set color yellow ]2 U) p5 h, l. x# u7 n
[ set color green ] ] ]- E1 |1 A, Z ~# |
ask turtles [ifelse show-wealth?. s# r% R. n% O- m; Y( }7 H% |
[ set label wealth ]' C) n7 W& P( E" a
[ set label "" ]]
; e( ^" |, H9 qend! r" N* ~8 R6 H
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to go
; f1 d) t6 D9 I( V' s: c6 { ask turtles
, T1 g' K6 C: p3 c [ turn-towards-grain ] 0 S; g( ?0 z4 o& k
harvest
0 r, Y6 v; b; ?. Z) S. }0 f ask turtles
5 \/ i" X8 i8 k2 B! A [ move-eat-age-die ]" [) R6 o( C! b
recolor-turtles
0 V( ^+ L$ d9 l4 x3 o) @% C% I if ticks mod grain-growth-interval = 01 D4 g, A3 U1 I
[ ask patches [ grow-grain ] ]
6 s' }& q- ?7 ~; O: j# r- X ) e1 P; F# K; _3 c
if ticks mod 11 = 0- B! O7 w4 c" A- t7 |' v" x: }
[ask turtles
N# [4 B0 M/ Y( N' O [ redistribution ]] B- z. x- n# x0 @; A) X8 d& P
if ticks mod 5 = 0% A1 q# w5 y, w. W( P! [2 ]
[ask turtles
3 U# ?! B0 n* C: W; f6 L. q% D [ visions ]]. G* F( e) }4 [' p. F& }
tick
( f7 ]/ h9 Z+ }+ ~2 c0 d2 G update-plots: |$ ]6 C- U+ U7 c
end
9 `* B2 M) b X) v" s: n. xto visions
1 v! F) ~; h/ C8 w set vision vision + 1 8 P8 p( U3 v; R
end
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- M0 b) V& F+ E8 v2 `; ]* x8 i
( V2 D4 l/ f" B$ W4 F9 `% {
to turn-towards-grain
# u1 E/ y. U; d$ h3 g! c' r- e set heading 0& u" m/ e/ f- L: X7 H G+ H0 i; B
let best-direction 0
' |! f; ?5 _0 L. H let best-amount grain-ahead$ C" A9 {% I9 c& s# d; ^/ _' Z
set heading 90
3 n7 L- E* j6 v3 }& {* ~ if (grain-ahead > best-amount)- r& s6 A% e7 b9 D
[ set best-direction 90! ?* k5 f. W0 s& W) J
set best-amount grain-ahead ]
! o! ~# x$ O2 u, n8 \8 O set heading 180. f* u4 R6 t1 |+ Q2 b; _
if (grain-ahead > best-amount)7 M R" p: D7 J2 O4 I! a- Q
[ set best-direction 180
4 {* R/ ]& t: d6 F6 c/ } set best-amount grain-ahead ]2 M) Q, e2 K) I/ R
set heading 270% A) P, w' U& X, h- I; x
if (grain-ahead > best-amount)) J. f/ }# v, Z% ?
[ set best-direction 270- m/ j/ j. O. `& O
set best-amount grain-ahead ]2 k) d }' ~0 F9 J( [0 n
set heading best-direction
. O1 B4 y1 _1 W/ ]* p2 V6 X5 i( O( Dend
+ d* E. F# c: R$ ~! X
/ [ v; s0 m+ o d( ^' N$ P: H; H4 H( T; [5 u+ c1 @
to-report grain-ahead ) |/ `* s( F$ u
let total 0) x& |# P( y k5 e6 L
let how-far 1
0 n' A1 U3 z& _1 [" i/ R repeat vision
* O7 g# q2 i. ]8 W [ set total total + [grain-here] of patch-ahead how-far) l+ ^2 J: U6 H& A% @9 d7 y
set how-far how-far + 1 ]5 K' i; S$ s: z- V; K& {
report total
4 m6 m$ R- q9 i( Zend# M) i1 f7 r9 j- j2 J" n/ |
Q! ~0 D* p0 u$ S0 x: o: cto grow-grain
) l, A+ w- s% i$ C if (grain-here < max-grain-here)
( s W* U0 h3 t3 ]) Z3 O& m [ set grain-here grain-here + num-grain-grown
9 C1 G( o1 ]9 L; Y' P& ~- Z if (grain-here > max-grain-here) ' t5 x/ B8 W H8 ^) S" W6 g
[ set grain-here max-grain-here ]7 j; a' @' L* H5 \7 E# N
recolor-patch ]4 o3 G# M5 }) Y Q5 f1 Y6 t
end
* z$ A6 v- x) zto harvest
- J% I; C! `- O9 J# m. O ask turtles7 ^( L( K) c0 H8 A4 O' J5 C
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]0 h2 ?- I9 B$ ~ x7 }2 o
ask turtles
$ s& ~5 r1 A/ k& d$ k1 P [ set grain-here 0% {: [, j# C% {6 d7 [: }/ G! {
recolor-patch ]$ i& z2 S) U/ q* A0 v' ^- \: K
/ M% K0 }* @2 J) t6 uend# l$ ^( {1 Q* b0 L9 z! a
/ R$ `+ d: q- N, |; V
to move-eat-age-die
$ u: [4 g+ b. T" w fd 1
9 Q' y" t& d/ r- e* R1 S set wealth (wealth - metabolism)
( P9 H" q; \" X0 B) Z( U set age (age + 1)0 ~' A" [+ r6 o
if (age >= life-expectancy)- H9 T+ m- c: L8 j
[ set-initial-turtle-vars-age ]2 ~/ B7 J8 y9 t4 p8 v8 Z, x
if (wealth < 0)! Z, C+ f$ C9 Y
[ set-initial-turtle-vars-wealth ]
4 m8 x/ E4 a( _- B3 j0 j
, t9 ^# ^3 l1 B B/ R5 Zend Z ~; }* S4 h' y
9 P7 V5 J. Q$ X1 H& D" ?0 u3 M7 V4 r# n+ C. |( a a& {( w
to setup-plots
* m$ m8 A3 `/ W: M set-current-plot "Class Plot"
; R% S+ i; P+ O& { f- O set-plot-y-range 0 num-people- ~- l2 Q- F$ D: `. Z$ h7 |, T
set-current-plot "Class Histogram"
: m+ J8 X6 ~+ A+ N6 T" B set-plot-y-range 0 num-people
* r$ ?% P$ S" m$ Cend
) X3 p( j) P4 t, s
e% g$ G, o; {0 J$ W: v2 _to update-plots, l" Y7 Q6 m5 l
update-class-plot
4 ?" A( a# K& l; j update-class-histogram
. Y+ s' [$ `9 y6 t# W" g2 Q update-lorenz-and-gini-plots' p" j0 J: Y7 w Z+ s& T2 ]) E' ]- d
end
% c* j f) I9 F) O, M9 r" `" N, y& y7 H% E( a+ G; z. W
to update-class-plot4 T- n# ]: h1 }. s
set-current-plot "Class Plot"4 v; z3 V4 i- o$ U, c) f' A1 M
set-current-plot-pen "low"2 b3 B7 B+ X* [2 k( D" h( |
plot count turtles with [color = red] B; l7 Z; B: Q0 w# Q
set-current-plot-pen "mid"
9 H. P7 X4 Q0 R3 \7 p: ]- A plot count turtles with [color = yellow]
* x7 h& T& m: c: c, F set-current-plot-pen "up"
* h. W3 b$ R+ @* F, z3 | plot count turtles with [color = green]
6 W0 |" V6 r9 G! oend
$ z9 Y% h; I/ F! [# a0 T# `" F/ e8 S6 h# W$ \. z
to update-class-histogram
' g" \! `# m- ?, H set-current-plot "Class Histogram". Q3 X: j. i/ _5 o* Y3 M1 @, Y
plot-pen-reset
# t; ~3 Q, A( x set-plot-pen-color red
* g6 y# o9 B. I' ]5 O" W$ Q plot count turtles with [color = red]- A$ K' i7 J+ t% v G4 q# r5 G. W
set-plot-pen-color yellow# `( X8 b" l1 S0 V' v! m' c
plot count turtles with [color = yellow]; d+ Z4 j: {7 k' u5 S! f2 B0 g
set-plot-pen-color green
/ s% k; Q3 @, n: u8 [) Z( d plot count turtles with [color = green]
8 Q$ C0 {+ n& q2 q3 Yend1 Z+ u/ X/ c4 [, T ^ X
to update-lorenz-and-gini-plots; K% E. e) Z% [
set-current-plot "Lorenz Curve"
1 u, w# I3 M% ?# |! D clear-plot
9 f6 i+ a% A1 t2 Z$ U, N8 H! W. W0 f2 E3 o" r2 \( v
set-current-plot-pen "equal"
( _( _. R- m' m+ g9 `7 q plot 0
7 W$ Z+ Z! ?5 _ z plot 100
2 e4 `" F) i$ o8 i( x7 \0 F' K* t( H/ p! `& V
set-current-plot-pen "lorenz"
+ t5 D ~3 \/ Q3 D2 J2 a; n$ W set-plot-pen-interval 100 / num-people' {) G: Q3 u- {% ]
plot 0
' c9 x8 ^1 f; }/ e% N: s& y- {
& D# u# p6 n7 L: c$ D+ Y6 Q let sorted-wealths sort [wealth] of turtles
! f3 t$ R! h+ _% y( D% T5 K let total-wealth sum sorted-wealths) k( G) ]0 k: T
let wealth-sum-so-far 0
4 W& Y! W9 t7 s) Q let index 00 |. @: |+ O/ q! s) ~
let gini-index-reserve 0& f9 @5 g# ~0 i2 t# b; k
: ?! o1 k' e9 X8 h repeat num-people [
, ^6 _+ u: q- P n. t set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* ^1 a1 y2 v. X) x" L& i- `2 h: h plot (wealth-sum-so-far / total-wealth) * 100. x1 g& V# r7 U/ |, O
set index (index + 1)3 K1 n+ ]8 y( l8 e& J
set gini-index-reserve" ?& V6 Z, j& X" H% U
gini-index-reserve +. q3 ]: Q5 g* l# F% @. e- |" W9 O
(index / num-people) -2 I/ `+ H9 V5 ~4 n" \8 ~& r8 [0 s
(wealth-sum-so-far / total-wealth)
* ]' E: F' {) ?+ N3 v ]6 H( x& w( G7 D" K8 u5 R
4 G) U& m/ ^4 r1 B3 U
set-current-plot "Gini-Index v. Time". l/ g, U, |2 ^' z. k3 k# p2 Z
plot (gini-index-reserve / num-people) / area-of-equality-triangle' k8 R+ }. ^6 X7 k
end F6 p6 M r" G6 |$ B+ Z. c
to-report area-of-equality-triangle! Q$ G; t+ P/ X
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. ~: T8 P' y: I0 Aend |