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
+ x, \" S$ @+ c) @3 D. T+ N0 J! ?globals) \! J0 W- b4 o% _: `3 |* A
[! K5 F' ?" U- C0 }: J
max-grain * Z) l6 O- ?" j2 f. Q
5 e! o( A! U& h]/ h5 W" o) \! c/ j* _0 \
# O$ T% ~1 K# w j& C8 x; E. Cpatches-own
7 s; f/ }8 R4 [9 h) Z2 V1 L[
7 l, [% R2 I) a3 `: \% |8 a" } grain-here
4 J) |& P, K8 r# L* t2 N max-grain-here - F4 \) ?$ t6 G; t" V
]: p) _- c" ~- g% n3 I( w- Y' @
) Q3 T0 Y! {, ^3 T
turtles-own6 L" i$ J B( F: L/ J n# r2 j$ r: e
[0 x' n% {; S- O# F H; d
age 3 `1 L; y! x5 ^4 o: Y
wealth
! G0 U6 \" C d5 p2 ?, i, L life-expectancy
# ?" g% P7 X$ m) {" a3 u4 r1 k6 v: | metabolism
0 W9 }2 i5 o, q vision
- v7 S1 A2 y( `7 v4 z inherited ! {1 Y7 x6 ^+ P2 @! T
]" r5 Y/ J9 v4 u9 A( ~
# U% Q* t- H2 m2 R' r2 V. N+ @& O5 @# P! A% {2 P5 Z# {
to setup) s8 z9 B. a( [; w( Y9 X
ca
) J* Z3 ~2 [* c# Y set max-grain 50
4 {3 r/ j* M& x& y4 _ {5 A. } setup-patches
9 [! G* P% K( Q( T( V# s2 p* @ setup-turtles: U4 U' b( E7 D7 x- J6 W( m3 k
setup-plots# E! W( @- }- @2 ~
update-plots. X: @1 j& ?: z2 p# j
end
6 Y; Z6 ~6 ^7 e) gto setup-patches
' Q x6 l7 y+ S" g; e- T6 A$ V8 J ask patches8 x& h! D! H* S" }7 K
[ set max-grain-here 0$ Z, ~4 `8 ~' o! s
if (random-float 100.0) <= percent-best-land9 e& T! K( ~! [; ~- D! c6 @5 M
[ set max-grain-here max-grain- W8 E! B$ S3 s5 F$ u* u; b
set grain-here max-grain-here ] ]
S4 B/ o# v% d5 A$ F) ~7 H7 K9 h1 m1 d repeat 5* l6 N' |4 ~0 w6 n+ u& E
[ ask patches with [max-grain-here != 0]9 o6 K% l; J/ C5 I* u
[ set grain-here max-grain-here ]0 ~! e. s+ n% j, b" @
diffuse grain-here 0.5 ]+ c/ R {; o& b p: L; K+ h
repeat 10
$ g# Q, X' D, S; r6 V+ g [ diffuse grain-here 0.5] 6 H; f8 W& [8 Z) ^
ask patches0 `7 b7 ?% P" v9 c/ N9 L
[ set grain-here floor grain-here
" `! L8 c* @% [5 v' R3 _2 Y# t' o( @ set max-grain-here grain-here 2 l3 f" z1 S' Q+ y
recolor-patch ]
. S8 N, ^5 h8 s: L% jend V; S1 `& R: S
to recolor-patch
0 P7 e% b {' Y9 _ set pcolor scale-color sky grain-here 0 max-grain4 c/ U8 H. i7 A
end) C |! O. Q5 m$ w1 [: _
to setup-turtles* K% V* S6 ~! r9 U$ o* A. X
set-default-shape turtles "person"
9 [7 r* O/ h! s4 z; y; ^7 E crt num-people
+ @1 W1 e/ |; y/ P [ move-to one-of patches
6 p. U! [* t6 [/ t. G9 B6 I9 ? set size 1.5 ; F: n! A6 U0 b$ o6 N
set-initial-turtle-vars-age
7 l/ \5 P: T6 r$ u- u- F0 l! I set-initial-turtle-vars-wealth
* ^/ `- A$ z3 [3 [, T set age random life-expectancy ]; N" [/ Y* V$ v% @* ]3 @
recolor-turtles
, y9 T, \/ ]3 t& Z& f/ ~% R3 @# }; jend. O# C9 m3 [, v
# K4 {5 }: |9 g* d+ O+ V: I- Z
to set-initial-turtle-vars-age5 o a6 |9 k, E' q% Y! g1 O4 V
let max-wealth max [wealth] of turtles
* Y( i' ?8 v/ Q4 v/ M5 ]: L* c7 z% a9 q 7 P9 S9 G$ r3 o+ K1 o
ifelse (wealth <= max-wealth / 3)9 S9 V8 T* h# j1 b, J- D3 `
[ set color red
& F! V& X1 @" T) d8 T0 M/ k: B5 V, C set age 0" W: m( O7 Y; t+ ~; m
face one-of neighbors4 " m. @+ t% {( q# c" f9 z+ g
set life-expectancy life-expectancy-min +
7 l2 N0 c- T) [$ y random life-expectancy-max 2 v4 |, w* H1 d
set metabolism random 1 + metabolism-low
) p; R& r) L* i8 y+ Y set wealth metabolism + random 30/ t: ~% D+ [! V2 K' y# u6 f8 G
set vision 1 + random max-vision" S/ J; F$ a& s5 N1 N- H
set wealth wealth + Wealth-inherited-low ]
$ H9 U6 n" B3 B* C. x [ ifelse (wealth <= (max-wealth * 2 / 3))6 H6 k* C8 N5 x# p/ p! }, J
[ set color yellow
' h, y/ Z" ?$ S3 n' S set age 0" C4 Q* N1 S0 ]" j/ D
face one-of neighbors4 3 d+ F4 j5 M! g2 J" K/ M- ]0 W7 b
set life-expectancy life-expectancy-min +' J2 d3 ~2 L% J3 D) ?
random life-expectancy-max + 1& N3 u5 j1 A$ W/ [; J# ?$ w. _7 V
set metabolism 1 + random metabolism-mid
# ~1 G0 p* w' {# U+ ]5 ~ set wealth metabolism + random 30
. N6 D8 k7 h, F. D9 T- P% w2 z set vision 3 + random max-vision& _: G% Q7 v, z
set wealth wealth + Wealth-inherited-mid]
0 P) D3 i9 x7 G+ }9 C, z [ set color green
* t( B6 K5 X0 p* h) x set age 0
$ P. \: V1 U2 b+ [ face one-of neighbors4 ' y4 }9 A% ^' |( D& Q; h4 Y; G
set life-expectancy life-expectancy-min +; V4 ]+ T7 e+ K4 w4 T
random life-expectancy-max + 2* V E$ v" q* I( G3 y: M
set metabolism 2 + random metabolism-up" k3 E0 W- I% G/ h9 i6 S, g
set wealth metabolism + random 30
" D$ E0 g5 v: X. e% t set vision 3 + random max-vision& J( h# m# A7 Z: G+ R
set wealth wealth + Wealth-inherited-up ] ]
% V. X* t5 R( K r: ]9 O7 J# g$ D! v
end
0 @ b9 C+ T) ]. Ito set-initial-turtle-vars-wealth# Q2 \0 ^( s* a4 }
let max-wealth max [wealth] of turtles# \3 `: X' L6 \' D l/ O% d# x7 d
set age 0
' }% @9 J: R# m4 X( P8 ? face one-of neighbors4 ( F0 e, P. h/ i9 t! d
set life-expectancy life-expectancy-min +
! A0 u0 T6 L2 c9 z1 x random life-expectancy-max ! d# L3 a9 @- J
set metabolism 1 + random metabolism-up
' g, s+ P* C9 z( p* @ set wealth metabolism + random 30
. O H7 E1 q" A. @ set vision 1 + random max-vision , M! q) x1 Y/ {2 W3 ~* k
end0 e4 C( f. V- G Y! o$ U$ G9 F
to redistribution
/ S M4 f. E0 w8 p7 Hlet max-wealth max [wealth] of turtles: A' ~* ?" ^: G: _$ ^
let min-wealth min [wealth] of turtles
. X7 s( _4 W: X2 ~2 }2 `6 B# i# a+ fif (wealth <= max-wealth / 3): k- g& O" j: T% P8 w. _) Y
[set wealth wealth + Low-income-protection ]: b, v0 E/ R* `5 l4 f2 X
end# d5 Y7 F2 I) I' {+ g, X
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to recolor-turtles3 O8 y& T, q: }
let max-wealth max [wealth] of turtles
2 r& h8 F0 Z9 Q2 k9 P ask turtles6 L: l# F% M* q3 g" ]
[ ifelse (wealth <= max-wealth / 3)
( ^% U5 ]. L$ r4 L' { [ set color red ]5 S5 t7 {8 T- k8 }; b, E$ p8 H+ A1 `
[ ifelse (wealth <= (max-wealth * 2 / 3))3 a B# I' g9 ]/ |6 U
[ set color yellow ]$ M: a2 a5 O4 E6 [! g
[ set color green ] ] ]( ]* u9 a8 X9 Q
ask turtles [ifelse show-wealth?
4 @/ j/ R1 N5 F [ set label wealth ]
) u% |2 k) U8 ^ [ set label "" ]]
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# E! u8 H5 D! P: _" G$ wto go
5 G% t) A& p" [( G( e ask turtles
+ k# A$ X( S: e- J [ turn-towards-grain ]
) g1 D; k* ^3 i6 S1 D6 E harvest
0 ]6 \+ ^8 M3 x1 o2 D- R1 y* G3 u ask turtles
; Y9 G5 W. a; B, @. a5 ]# ] [ move-eat-age-die ]" d% K) b$ q) i) j# o# D
recolor-turtles
! o4 q6 U- \) K, I/ {' w { r if ticks mod grain-growth-interval = 0
* Z! y/ U3 n: F [ ask patches [ grow-grain ] ]) m, a _ h* G
. V% q1 I- L9 T7 E$ F1 b if ticks mod 11 = 0' K$ G: C# C/ Y+ @% X! u% ~* ~) v
[ask turtles
' C) E/ f) Q6 E& h8 Y2 \; `! P* G [ redistribution ]]* Y3 }3 W, j4 l1 d% {8 F( \* g# V, t
if ticks mod 5 = 0! s6 B# x% {' O
[ask turtles
+ P) M2 J/ X9 b+ g- H5 h$ k$ {' X2 M [ visions ]]
% ?5 H# d6 Y8 a9 \4 m tick0 Q+ B& X) \ l3 @% ]3 G. s1 @0 W6 n: A7 g
update-plots
& i$ w1 t3 ^+ Q/ ^) F! wend
2 x: U+ K a! G2 O3 l1 h$ yto visions+ _; E9 t8 M p9 q# e5 b/ S2 S
set vision vision + 1 3 ? ]; }, P2 H+ E) v
end& T4 r" P# e q" e, x
3 ^& ?) r" ?- U) ]7 F3 b( t. ?1 `1 s4 w( H5 ?1 _: U
/ `, m% q& q- C, f$ A. v1 J2 \
to turn-towards-grain + ~9 ?8 J- v3 E+ u
set heading 0
2 K# A2 a. Z; Y+ G8 m! m Y% ^: G4 M let best-direction 0
6 i6 f; x" i C8 A5 g! q# ? let best-amount grain-ahead/ E4 l& \1 X5 K& s
set heading 90
: E- D( n' U) y4 p4 f& _+ V if (grain-ahead > best-amount)
' k; {6 f, Y" ~4 w. p [ set best-direction 90+ v/ F: b, Z- N, K
set best-amount grain-ahead ]
t& Q. |# H* i9 Z set heading 180
( ^4 J8 x. d3 }! M7 s if (grain-ahead > best-amount)
& x: ^! g/ y: O' i( V [ set best-direction 180
! Y! m7 P( w. u5 l. f+ `6 X set best-amount grain-ahead ]
! c8 i. D0 Q8 r/ s set heading 270
9 h9 ^* @8 `; f" Z& h& M if (grain-ahead > best-amount)$ l1 o: m; i8 I" Y' D7 a' h; H: Z
[ set best-direction 270
: O( r+ _0 E" r5 \3 _1 U- E set best-amount grain-ahead ]7 S+ O: k# e$ a7 }3 l
set heading best-direction
$ Q: x: B& I' S1 H7 O4 nend' a/ l, i1 [/ i8 n2 H2 l% K' `
* b; G" K, r4 r: F M, S# k! M! f- T! x* Y x4 S' w. n
to-report grain-ahead
. `/ ~* h2 M) t6 T- q x let total 0
. e/ H! D5 J7 F9 C3 X: q! Y! n let how-far 15 Q6 h# @2 v" K
repeat vision4 X4 N5 T, r$ D# C6 \5 n+ F' m
[ set total total + [grain-here] of patch-ahead how-far7 L" s0 s o: Q7 v. P' G
set how-far how-far + 1 ] |4 u, Z0 p) C! e
report total
* s( p0 _0 l* e# Z5 l- d0 cend: }8 `4 I ], |7 Y
% x* }" J6 {/ z7 G" |to grow-grain % b/ t. c8 O( \- }- C5 Q) P
if (grain-here < max-grain-here)
8 B" u6 S- q4 S9 `1 T7 V [ set grain-here grain-here + num-grain-grown
3 K7 k R; ^6 C' Y7 D, a if (grain-here > max-grain-here) $ ~% x4 b. X$ Q2 {7 I
[ set grain-here max-grain-here ]
# O4 G9 L2 o1 N) A% L6 _% F) G2 x recolor-patch ]
5 d2 R8 S, A J+ iend
4 j1 A3 j1 s# b4 R$ L- Xto harvest
( ?. I% b# g. ^ ask turtles
0 \+ o) `9 g; Q0 I [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
3 g/ z, k1 s! N( v) g$ P: R% H# c ask turtles$ V, v; `. k; f. O
[ set grain-here 0* ~+ b" b: G# E# f4 Q1 \
recolor-patch ]
$ E* P( k5 F1 h G + `1 J- `5 L& g+ l$ e8 j* Z6 M
end
/ w1 E* b+ {2 S$ K8 _0 x+ g; s) z. N) i% `5 m. Q
to move-eat-age-die 1 h0 {% L) Z0 `' }
fd 1$ X2 l+ S2 [, W O
set wealth (wealth - metabolism): @9 h8 C3 y% r2 ^1 t7 Y
set age (age + 1): h* R( p F( E( J$ R) U
if (age >= life-expectancy)6 @7 j4 g; J& [
[ set-initial-turtle-vars-age ]- Q( I/ h& k; n: G8 C- Y! k7 V& Y
if (wealth < 0)7 L% q8 S$ q( k, C* y. O5 O
[ set-initial-turtle-vars-wealth ]
- [/ w% u% r! w& _- g1 o+ r
. h3 P/ t+ u8 z9 w7 L, aend' Q' Q! P8 C' u
9 }3 f+ w: X8 F& M
: }! x8 A' W; J, D: _9 B
to setup-plots
5 C1 w! d5 k! T+ _* u set-current-plot "Class Plot"
* l( g0 C8 c0 j+ A4 T! W% v6 _ set-plot-y-range 0 num-people
1 Z, v, f' z; k% T* C& @* ~0 E set-current-plot "Class Histogram"
" D( u* O4 Q) j" y set-plot-y-range 0 num-people' O! _: H1 n8 \) \4 G5 V4 n, ~
end: ^* }, w6 Y: @+ j
* b# [" C1 A% X, E/ E. q6 Ito update-plots
! I+ k6 R6 T u4 ]- | update-class-plot9 t& g$ d( U) @( q" |! v \: w9 I; k
update-class-histogram7 ^. c8 U; J% V2 m
update-lorenz-and-gini-plots
" @. y( a. ^- e% Oend
- M, N9 j7 Q$ L4 E; n6 W) o+ z( ~5 Y3 i
to update-class-plot
% [: W/ w1 f3 R2 X0 [* K set-current-plot "Class Plot"
' M0 c* f$ s2 e- S set-current-plot-pen "low"6 _/ U) z# \$ f; i
plot count turtles with [color = red]
! {% c! Y( |9 n7 r$ A) c set-current-plot-pen "mid"# c& p8 ?/ v. ]) m9 N
plot count turtles with [color = yellow]
; b% i# J4 E3 o set-current-plot-pen "up") i# z8 h' g" N
plot count turtles with [color = green]
! H- C ?! {; X' `% n; J3 ~" yend
# \$ E; l) z& C4 H, d: y4 m6 U
: o$ ^. h' w4 n- B! S$ kto update-class-histogram" Y; Z5 w6 n+ p2 Z
set-current-plot "Class Histogram"& [- [ X4 W8 o+ o/ }
plot-pen-reset
+ C1 n0 i8 q. B5 \" _ set-plot-pen-color red
6 r* b3 T! t5 O; n0 J9 H& _! F5 w# N plot count turtles with [color = red]7 \- v5 V2 V2 T6 y
set-plot-pen-color yellow
8 q( ~3 [3 w( }% ]+ k, i4 W R* D- x* h plot count turtles with [color = yellow]
9 y3 e7 Z- R5 f1 M" @. m set-plot-pen-color green. u5 Q0 n, _) Q& h: v! e( B
plot count turtles with [color = green]2 c* H' |6 Q! m
end
% l( X/ s6 t: W, Q; ^# Lto update-lorenz-and-gini-plots7 c# R" A9 z* A% _( R
set-current-plot "Lorenz Curve"
3 L% R4 q! E3 Q4 e) r5 ?% B clear-plot
7 ^3 D8 s8 U! P% W9 d8 h0 ^2 |5 a& p5 @& Y
set-current-plot-pen "equal"2 Q" I1 h8 g8 v& ^4 d
plot 0- Q7 T$ i: d& z9 \9 x
plot 100
2 J" R( [9 o: G4 y6 h3 p# p c5 I
+ G" F L9 S1 R! s1 H8 X set-current-plot-pen "lorenz"
$ G, J1 v( |) I4 v6 h0 S3 I set-plot-pen-interval 100 / num-people
5 y7 U- Y) C/ ]$ |) d" d! t7 u6 H& F b plot 0
; b0 O+ E6 i" K% k
0 i# T. r. b+ P5 |' R1 T let sorted-wealths sort [wealth] of turtles$ G' } G3 ~; G! i/ i% M" y
let total-wealth sum sorted-wealths; H! S; C' S" v) f
let wealth-sum-so-far 0
( g c. e/ N9 L, w& [' D% E- T let index 0
! ^2 J8 w7 M: b4 Q+ ` let gini-index-reserve 0
& D- W: z/ Z* r* l! h. U0 z+ c. w: n! y& A$ [/ z6 z* l
repeat num-people [% D( m- I. H3 f7 r
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)7 `+ A+ A7 K, @4 d- q. A+ L
plot (wealth-sum-so-far / total-wealth) * 100+ q1 c! ?! E& ?% T
set index (index + 1) i8 X4 @3 T9 i# c7 t- b/ y
set gini-index-reserve
1 c& m* f1 | Q0 s gini-index-reserve +
6 C+ m) k; d; T8 v1 v- F6 C2 ] (index / num-people) -
" U9 p. z" r7 G) ? (wealth-sum-so-far / total-wealth)+ U( S8 f" ?- O: q5 M) F
]* ~! E. l/ V) \) M) }* P! G
6 e- m( i" w+ `* i set-current-plot "Gini-Index v. Time"
' C K0 ]' ?/ J5 B plot (gini-index-reserve / num-people) / area-of-equality-triangle
6 c4 R- E3 N" }2 ~2 C1 f- y3 p) e0 Bend
2 A4 i$ ~( c. j4 @to-report area-of-equality-triangle
9 O' t, E8 M( E, u. V( H4 B1 A; R report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 `2 Q: V; E! ~! P8 yend |