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/ C# T) Y( h& F) G& d+ d4 V& N
globals ?4 E; Y) D: b; f
[- ]$ E: Q2 e2 A6 `
max-grain 0 ]& }# D$ @! K6 v, L6 }% ~' S j
3 M$ ]& E, B2 Z, v% G]: Z' f V) Q' }% H) x
" J7 o3 l( x" ~) j) {8 j" E( @( Upatches-own' M; g& l. t2 H
[
0 O- e& U- B l$ d& a grain-here ( p! P' x7 \- l! V" X7 u! g
max-grain-here
( G. Q9 C1 k& O& l]
: }* G/ F/ g, h& n/ ^7 b; x0 C: i5 a( y
turtles-own
/ g$ F- K) @9 f/ P, j, N[$ B/ I* j# Q! z2 Q: `0 ~3 k" B
age 1 G+ B4 c! M+ }
wealth 2 g5 q+ Y7 o* k+ O) S. v
life-expectancy + p2 o/ K- P, n+ Y5 x, K
metabolism 8 j1 [$ k) |. j% H
vision2 d _, ?- g! R7 y- W
inherited * t& I# e) Q9 x4 _2 a
]
& |2 E2 t! T* N' T% K# q9 B) l/ |1 M) y+ ~9 n
# g( m1 H c# T. W: H$ c6 E
to setup6 M/ V% N: l+ N: W% a: X3 m
ca
' p9 Y. x5 i5 Y- D1 t0 |. h, u9 m+ B! f set max-grain 50* y1 ?" y/ Q8 j- r& E+ P/ n7 J
setup-patches' f# c( p- \7 {; Y( ]
setup-turtles) @9 H3 P* h) O
setup-plots
( Q) l. c5 b" G9 o. G; z update-plots
; m, Y: ^" `6 |" P* R ~( \0 Oend2 f- l+ m1 j% {; M- S( v
to setup-patches
, J* g S+ |- ~- ]7 H/ m ask patches8 r( `/ W, R6 X2 u
[ set max-grain-here 01 h3 |, C% }$ o7 t3 `+ V
if (random-float 100.0) <= percent-best-land( B+ C3 h4 f I u, R
[ set max-grain-here max-grain# }$ S% ~! o' n. ?0 b3 {8 d
set grain-here max-grain-here ] ]
# x" \( g0 s! C. `. p3 ?, U; v repeat 5$ c# X& [* T$ Z, o; @% A- z+ r+ t& ^
[ ask patches with [max-grain-here != 0]" t* B0 S7 Y& F4 Y2 L& ~
[ set grain-here max-grain-here ]! G1 F7 F) F. R6 w! a* |4 Y; m
diffuse grain-here 0.5 ]
' T4 a4 a: ]. ~ repeat 10
}0 Z- I6 }1 u6 O6 f7 B6 J [ diffuse grain-here 0.5]
' W& D+ M9 _2 \) A: K5 v" g/ f3 c- q ask patches' L6 ^0 {. P; M6 e
[ set grain-here floor grain-here 8 z3 g; S" h }9 N
set max-grain-here grain-here
4 ^; H% ^: F/ V7 g5 b recolor-patch ]. n7 w2 ?0 f% d* V* B! |
end
- u1 Q6 n9 D" D' O7 b' bto recolor-patch " H" u2 @3 n' ~7 Y$ H
set pcolor scale-color sky grain-here 0 max-grain( D# b% O/ z) y9 B# \; s
end
; Y) K- {3 b' q: d ?to setup-turtles
. ?. v$ h) P/ D8 M% ^ set-default-shape turtles "person"
5 A4 o8 N7 S; [- X3 n6 ? crt num-people
: _- A$ G, _: i W- o" M [ move-to one-of patches
, k+ m8 {# v4 a6 d7 i set size 1.5
) C: e8 j( C1 R5 T1 H set-initial-turtle-vars-age% N' D9 a' y' E+ I
set-initial-turtle-vars-wealth% p2 I% s9 p) \5 \
set age random life-expectancy ]
4 p# j3 Z9 ~1 C# _+ |' d2 ]' ^ recolor-turtles. v# w+ }% T: o) o
end
, @- `/ t; D( Q8 Q- h0 z
- g" p4 o0 y% J4 F% Y3 sto set-initial-turtle-vars-age9 w; G: e0 M& U
let max-wealth max [wealth] of turtles
; N% H$ F1 j2 V% ~# j# h + g, w3 a. P1 p! y
ifelse (wealth <= max-wealth / 3)* K1 w# r- X1 [3 Z: k4 [
[ set color red
+ h6 `* } I* A. [3 u" I set age 0
+ o3 ~# O+ W# c# {2 N' s, D0 S face one-of neighbors4
% |6 U4 D# W- R/ C set life-expectancy life-expectancy-min +1 @# u5 h3 ]# r: y: X1 t$ B
random life-expectancy-max " I [) \( b; O1 P, b
set metabolism random 1 + metabolism-low1 M, O2 O9 Q: P0 U
set wealth metabolism + random 30
# b w* d+ T/ z+ \0 s/ ^ set vision 1 + random max-vision# D; v, l2 n' T$ A. b% p0 y3 P: K9 k6 t/ ?
set wealth wealth + Wealth-inherited-low ]
* A r, r2 X$ D) l W q$ a [ ifelse (wealth <= (max-wealth * 2 / 3))
% h7 j/ N; Z. g- i2 |5 p- t9 c' | [ set color yellow
M4 j: ^' c$ q; ~: W set age 0) m( O/ D0 X8 f4 r; u# C
face one-of neighbors4 5 u! E/ K7 X+ k0 `. r3 F
set life-expectancy life-expectancy-min +2 a6 l* r, {8 Q( u/ ?( f7 G2 G* ?
random life-expectancy-max + 1
5 _+ ^& t' J! H0 K6 D) P9 H set metabolism 1 + random metabolism-mid
$ M3 a4 |' `0 e4 O set wealth metabolism + random 30
( b$ k8 g) U% R1 p# j4 B set vision 3 + random max-vision* w" S( i2 J7 \' E3 W* y
set wealth wealth + Wealth-inherited-mid]
: A9 Z( C, B8 z" W [ set color green , l2 G7 m* }( j* \" V
set age 0
. i. K. N- ?( w face one-of neighbors4 ; ~, V! l% r, _5 w5 l& T5 a' q5 a
set life-expectancy life-expectancy-min +
# @9 `5 x* y7 k8 a6 ~/ u! z random life-expectancy-max + 2
5 a3 b$ M0 L! ?- F set metabolism 2 + random metabolism-up
& u5 M7 i8 Q- Y' D; A4 f set wealth metabolism + random 30
, \% r; Y5 O% ~, Y8 g set vision 3 + random max-vision
5 b2 C# q3 ~$ C# B set wealth wealth + Wealth-inherited-up ] ]
. B. y" O' G7 L- \+ S8 d3 q3 U# C
, b3 ]' ~3 [3 F* h8 c) Vend
& u* r$ X! d' c9 c# Q5 d4 lto set-initial-turtle-vars-wealth6 m2 X }; y; @# E* Z
let max-wealth max [wealth] of turtles
: U2 Q- n6 T, \; }3 N set age 0; U# y$ z1 p0 h4 |7 m: b
face one-of neighbors4 / {+ z/ ~. Z# I# b0 r
set life-expectancy life-expectancy-min +" Z# Z8 D( X9 N& n8 y
random life-expectancy-max
! ^- y! s+ g% ^; C4 F" h( J; p set metabolism 1 + random metabolism-up5 T, H5 T4 n9 {6 l% {5 e3 z* C
set wealth metabolism + random 301 P- m5 ]0 X K/ K x T
set vision 1 + random max-vision
+ ]4 U2 g+ s+ B& qend6 A) P; w5 [, O9 X" }$ n0 f
to redistribution) ^; W9 w. H/ v6 g
let max-wealth max [wealth] of turtles: Y( a$ I8 ?3 A5 E6 k) j5 D! h
let min-wealth min [wealth] of turtles
/ w* J3 K& S9 ^* N) @if (wealth <= max-wealth / 3)
0 d6 C( _% ^% A [set wealth wealth + Low-income-protection ]& r# M4 g. B; N; m/ D
end( p. \9 i- `. b& R4 n. T h! S
' d3 r5 P9 N# ^0 B5 }7 Z* Lto recolor-turtles
3 z: r2 I1 Y$ _3 ` let max-wealth max [wealth] of turtles5 b/ H" O& ?6 a" m1 K8 B! P' ~
ask turtles' Q& z {9 R- C( f, k0 c. f8 V
[ ifelse (wealth <= max-wealth / 3)" ?6 h% A) e* f
[ set color red ]8 a+ e! c) t/ N! p8 k9 P( L$ X
[ ifelse (wealth <= (max-wealth * 2 / 3))
_' M2 d- M8 `3 R! V+ M [ set color yellow ]: C: Z- Q/ o% }+ r$ i; k; P B
[ set color green ] ] ]
; F' W) ~ u! t' w8 D ask turtles [ifelse show-wealth?2 M& t8 X$ h( Z
[ set label wealth ]
1 E* P* Y; T$ C+ t% u( C' t/ Y: w, H [ set label "" ]]
% E3 u/ c$ S2 F$ s4 x" f1 J6 }end
+ h$ f$ n+ h1 @* b5 e1 I
& f! N4 V: _4 W2 M) j$ d& f' k+ j+ vto go* \2 v7 t# S z! H3 Z' x5 U- z
ask turtles- w8 a- n3 y6 F% a% V# O( E
[ turn-towards-grain ] : N0 X9 \4 x2 ~+ X/ e# h8 O
harvest
" ~8 Q: {5 R% Z) {/ p8 z$ o ask turtles
5 q8 @+ {' b+ \1 b [ move-eat-age-die ]. A& s0 T0 i! B! ?+ N
recolor-turtles$ K5 P O3 t; m5 k9 ?
if ticks mod grain-growth-interval = 0$ S c. M8 \8 V
[ ask patches [ grow-grain ] ]! `3 o8 U- W8 g# S+ y- U/ W1 L) V
3 D9 b3 o: w! f9 S( d, b# k8 z7 F
if ticks mod 11 = 01 E, X9 q: Z3 y7 V
[ask turtles
( H2 Y$ W4 M _ [ redistribution ]], b% ^# \( F/ F1 [) V. q+ C
if ticks mod 5 = 0. y, x9 M' N, ^5 k! v$ _ ?
[ask turtles
- g0 {5 G+ L# D! e [ visions ]]
9 k W* Q6 x" k# q% s8 n tick* ]3 X2 i3 m9 _+ F9 J
update-plots
1 J' J8 u! ~9 T1 m! I$ S. S8 v; N+ Yend
4 x/ y5 O9 H; e8 n/ C* tto visions |- Z# P( E8 a m/ |' Z
set vision vision + 1
" A2 y7 \, v2 F4 V* q9 kend: H, G Q8 n1 |" b
( r5 o! O+ R; ^8 v, T; a2 m n& O7 x3 M6 T- ?0 ~6 V
1 ^+ I+ t- T9 P+ p- z
to turn-towards-grain
9 T6 X* {7 _% D' G3 B6 S8 j5 [ set heading 0# x; ?2 ]' C8 r" V8 }3 M, N9 V
let best-direction 0
4 A/ t' K, Z4 p, ` R let best-amount grain-ahead
5 [6 n7 V/ Y8 J. \/ |% Y. m( G set heading 905 A6 i! I: B& W( w! o/ b& {
if (grain-ahead > best-amount)
3 ~# C4 y3 f, c# s" W+ O [ set best-direction 902 [6 g$ C4 p3 o" v0 w
set best-amount grain-ahead ]) l- M( b" E+ |
set heading 180% j6 g; n( ~. o
if (grain-ahead > best-amount)
: m3 K4 P; V0 I [ set best-direction 180! }, s* Q1 A- z4 ~$ e7 e% l
set best-amount grain-ahead ]
4 `/ G8 C$ T0 t$ T, V" h# u% o set heading 270
( M. m9 l/ i' w3 {. Q% s% W if (grain-ahead > best-amount)* u$ e$ ?! o7 _4 h6 L$ Z& w+ g1 I
[ set best-direction 270
% P" r. L" y: S0 Z) D& s$ i4 D/ b set best-amount grain-ahead ]
3 L3 e* c8 k5 r$ n* x9 x* @ set heading best-direction; O B8 U! d+ C! i' |
end
; V- B- @1 B5 L# e6 T" x* n5 i
) k. u% B0 }4 ]1 U/ i1 g& S8 z; ~ y, M, D0 e8 S( R' R
to-report grain-ahead
2 D) M& Q) m; U b0 m& _ let total 0
' S9 I4 p, s0 v7 ]; Z& A let how-far 1
, I! a9 m& {3 L, K& ?4 F repeat vision
/ d$ k; F( d& e7 _7 I [ set total total + [grain-here] of patch-ahead how-far
& y+ H8 @7 e$ v% p$ e) y set how-far how-far + 1 ], N$ H8 I; \0 i( R
report total B! R0 D; [8 F u4 I! u
end; o2 W0 Y' ?; q6 X
2 ?5 S& O x0 k, Dto grow-grain 6 D$ T# }* @% I' u$ O$ V& \
if (grain-here < max-grain-here)
6 W) L# v0 J1 b) H [ set grain-here grain-here + num-grain-grown
4 C) _: I$ A. ]% m' l( G if (grain-here > max-grain-here) 5 |. Y" f% J. g+ h) d
[ set grain-here max-grain-here ]# G6 D" N; b' _& v; y5 f- f
recolor-patch ]* [. i- L. a6 F0 V4 c* K
end
. ?" l# D# B4 t* yto harvest
! L8 E3 L# E* g$ i: X2 V ask turtles* L5 Z3 C4 [' O* f2 w0 f$ [% {# d5 Y
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
& c1 r, s( H6 a& k0 a ask turtles! L D% O4 e. {; b8 N9 i7 }3 i
[ set grain-here 0
7 z7 P0 a4 Y* A recolor-patch ]
- X2 Q( o- {* I. {* S' [
2 p4 a" b% m: c8 a1 Rend) |- J2 z$ g+ E$ h, q" {6 l
$ I: o2 z, j- X/ g9 H& A; G( z! H# t3 s* O6 `to move-eat-age-die
' o$ T7 _. x* }! C fd 11 y; s5 [. [. i: o/ {
set wealth (wealth - metabolism)+ M, ~7 C+ b$ A+ K
set age (age + 1)8 P8 K+ u; `# s8 n: E2 r
if (age >= life-expectancy)
& R$ _" B# Z) t7 a. l; @5 x5 \/ M [ set-initial-turtle-vars-age ]# K8 W3 z/ J- z( E
if (wealth < 0)- L4 p2 g, G( B+ A
[ set-initial-turtle-vars-wealth ]
' l& @ @) V' D
, ]! y1 s8 a( T( j1 Gend# g S) T7 X) ?& q/ G. ~
6 V# J1 N. K9 j. Q- _2 S
2 ?+ [. F ^/ y& F' |. R
to setup-plots2 T$ y* s+ N# }0 q9 ?" u3 Q
set-current-plot "Class Plot"
7 i6 a# @3 ~- I( d$ |. [" t set-plot-y-range 0 num-people
; q1 r2 `9 Z7 P set-current-plot "Class Histogram"$ ]9 x( \/ H# a/ o& p; g
set-plot-y-range 0 num-people
9 m5 M1 A. u& H+ l. Y! bend9 |( }! L% ~. K; a! P
- h2 X8 h2 ]! o5 _$ a/ fto update-plots
2 r% v7 i; X3 c3 _ update-class-plot
7 h# C9 k6 O, Z& S update-class-histogram
; s) M7 I( \, h# k update-lorenz-and-gini-plots2 ^7 S) C# O& A7 k4 N+ c) }8 _
end) ~+ W) C. U q4 G
( y( \& W' V/ f9 k& m" K4 Hto update-class-plot$ }$ q) E; x; d! f( R
set-current-plot "Class Plot"0 Z$ D1 |2 `4 R! y
set-current-plot-pen "low"0 N9 D, h+ N6 |( C
plot count turtles with [color = red]
% D2 j4 B$ h9 r: W6 F3 \% O) |" f set-current-plot-pen "mid"
; W( ^' F) A3 W' m; Q) C plot count turtles with [color = yellow]
* D" @9 e8 `/ k- l: i8 h# f set-current-plot-pen "up"
2 d& g$ V5 \. r7 w: A2 ~ plot count turtles with [color = green]
9 Z5 ~5 w Y1 p0 W! ~; m$ P: Gend
* h0 L# S0 ]3 Q' N" p7 }7 U6 H: Q( o& l9 d/ h. B( }
to update-class-histogram9 W4 H1 `1 k: y
set-current-plot "Class Histogram"3 p+ B. x- ?8 p
plot-pen-reset( O5 p) p! q$ s( R6 h
set-plot-pen-color red
8 G5 v6 U g: x& @# ] plot count turtles with [color = red]
9 s9 a$ K/ [) w set-plot-pen-color yellow
9 E/ ?1 I/ Z& t4 W" H plot count turtles with [color = yellow]
) O' P2 i4 @! k: s set-plot-pen-color green
9 R, [ G2 O1 \9 r4 A plot count turtles with [color = green]
6 I, m: Y4 H' h' pend
9 P& b# n! M& ?2 X) D. J0 H$ Tto update-lorenz-and-gini-plots, @1 Y/ g$ v/ q! Q6 }+ e7 u
set-current-plot "Lorenz Curve"
9 m6 \0 {+ ~& p9 s, v( \ clear-plot/ H% T# Y6 f7 W, D" {" d& u
! r& T! b1 n: M! N
set-current-plot-pen "equal"
; b3 y! A5 B. [) I plot 0
: V3 R/ n5 g7 d. v3 w$ L plot 100
7 [5 R2 |7 f/ x8 L5 Q- }. V% a4 C9 a7 X Y
set-current-plot-pen "lorenz"( h; W$ @; ^ y6 w; x: n& n6 H
set-plot-pen-interval 100 / num-people
+ i/ t3 O& ^; C2 _7 q# g% c plot 09 m$ Y7 _1 G3 M: u7 u" D
6 N M8 `5 K, g5 }& O, q& N let sorted-wealths sort [wealth] of turtles6 D* A8 _2 @9 ^) ?) T: D ^
let total-wealth sum sorted-wealths
6 n6 U. f! s4 C* b3 a9 w let wealth-sum-so-far 0
% T& P- }: ?1 m, ~) P! K( c let index 0 @- l* d6 k5 S$ ?; }' w
let gini-index-reserve 0
" e4 z3 \1 L4 L& g) ~* m. o, R6 r6 C- A1 W9 G2 j
repeat num-people [
. O+ s( }+ H+ g set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 O- P6 M) Y! w, c0 J
plot (wealth-sum-so-far / total-wealth) * 100
3 K1 C% G- N- r- h/ C* l set index (index + 1): T: [2 Q7 N! X
set gini-index-reserve% L' f- t9 U: e1 X2 |, ?' m; g. `/ j5 q
gini-index-reserve +0 ?* u9 n7 G/ V. m8 P
(index / num-people) -
* k! x5 C8 \, j4 p; g (wealth-sum-so-far / total-wealth)
1 b: I8 e' F/ V& h | ]
1 d) P2 P8 g0 N0 F
/ g. H! `! m3 ?' k" G set-current-plot "Gini-Index v. Time"9 a& I4 i; E! j: }
plot (gini-index-reserve / num-people) / area-of-equality-triangle7 X" y/ u7 }: Z x4 M G! e( ^. G
end
' R0 s% I- Y( S1 K! `to-report area-of-equality-triangle
$ {2 S& c" Z8 O+ _/ j report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
- _" y2 f9 z+ U2 k6 a" x2 ]end |