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
$ O3 c! y$ f: r" T- zglobals c* w4 e) E4 `. P3 U: S
[
% q( K9 d8 X6 U" A: f max-grain
0 v Q3 m, W, @! C2 B' }4 Z. [/ h0 A+ L
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patches-own7 c5 N, K4 X' F3 a J* Q( t
[
( J% B4 ?. ]# T8 s3 V grain-here & G% v0 F% | g7 T& ?5 f
max-grain-here
% R3 ^$ ]# m" C% |- f$ Q# q& d& \]
, Q0 Q e' l$ G3 r' T6 x
9 K; G0 L* `; H; m% Z( q7 p3 aturtles-own
* H$ W" p5 A! h- Z) X[; k2 _) I* G3 [; X! Q! I# S; H- P
age
' h6 v" ? a6 l wealth $ d3 k, ^& F' z9 z
life-expectancy
" l5 Y& n$ q+ `$ n6 V& e metabolism h% |( g6 E( C* m
vision
2 @, B; f A5 F4 K" e inherited 7 D- A1 c' h y/ I
]6 F: M2 j9 G& v {# e" H" `8 t
, Z' F3 {+ J8 j& y; l. G9 r- k% F; [* U5 D+ q
to setup4 r6 r) Q; U( n3 g
ca) h R" K5 C& R9 E
set max-grain 50$ H4 O" D; A" K6 _9 W7 Y
setup-patches
( z' Z: ^9 a; Y setup-turtles6 J3 E5 @# G8 U% W$ G( ^
setup-plots
' C/ `" r8 z- n% |2 R% M6 x update-plots
) X3 X' q0 b* H' Z# Fend3 }" `# H. E) o( S5 V
to setup-patches) n' b% s* b1 |7 X, l) ^1 L" k+ F
ask patches2 N1 x6 n' H, Y! S, q% a( k
[ set max-grain-here 0
# X( Z: i2 O) ?$ D7 a0 e! M if (random-float 100.0) <= percent-best-land
" o) Y+ }$ V! D) O) I: O [ set max-grain-here max-grain# g3 R3 Z# e- X! c7 k& ^" m
set grain-here max-grain-here ] ]& ]3 c# ?8 a9 \) b
repeat 5 t8 C! z$ G7 Y" ]" h; x
[ ask patches with [max-grain-here != 0]* o; w- v& p4 T1 J1 K
[ set grain-here max-grain-here ]" X3 O( `( i l, U4 T
diffuse grain-here 0.5 ]' `7 ], c: F" G- G E- a
repeat 109 F- Z5 z- R3 t& G' q% s/ N1 S9 f
[ diffuse grain-here 0.5]
- D& G" r; ^( }) \8 o; } ask patches
. }6 {' _. H( v2 E# M4 ~ D [ set grain-here floor grain-here + X1 f7 Z# f/ F3 ~! k6 y- C
set max-grain-here grain-here
4 e% C' ?; o# {8 C: t4 f9 X recolor-patch ]4 i [5 l1 r5 i; }" \ [ V
end
- N; Y8 h0 [% M) Tto recolor-patch
# E% r; r3 @$ x% e0 ?8 V# D) ?1 P0 S set pcolor scale-color sky grain-here 0 max-grain
5 X2 c& U* |6 J' Send
) x: Y8 J) f) w; \4 F2 b0 qto setup-turtles
5 V; _- V1 `' V# J7 } set-default-shape turtles "person"6 E1 B! V* C( Y6 ` T
crt num-people" _- K, O# _* p) I% j4 z$ b
[ move-to one-of patches
$ R$ I2 ?3 \" g6 l+ Z set size 1.5
7 {5 S% c! j3 P" Y) D set-initial-turtle-vars-age
- B& M! y, V) d0 q set-initial-turtle-vars-wealth) k9 @$ C' }: Z2 o# F! Z8 z
set age random life-expectancy ]
; [2 t, H# k3 k/ M- f( B recolor-turtles5 f% M6 t9 E4 L- ?1 x
end
7 ]# `# B& D1 |( l
( r, L7 D( g0 x2 f% U ?1 wto set-initial-turtle-vars-age
; m( V& E+ {* O) a" ?6 r1 ^( L let max-wealth max [wealth] of turtles
! M+ l& t) z' R5 k: u+ `
: w$ D9 [$ G4 P ifelse (wealth <= max-wealth / 3)- X7 `1 W: M! A. m$ V9 I
[ set color red % V) Q7 K9 j5 c+ o% Q/ P% f
set age 00 _1 t! Z0 }5 o* a! K5 Z
face one-of neighbors4 * i4 f7 L% B. j, A# v
set life-expectancy life-expectancy-min +
. F' X- N' Y# L7 O2 T( o random life-expectancy-max
( N+ |, z- O8 z! `* q set metabolism random 1 + metabolism-low- ~$ R0 w2 c2 O" j" E8 G, N
set wealth metabolism + random 30
; ?, i$ z( e3 j' n) s set vision 1 + random max-vision7 s, {, V7 @# B
set wealth wealth + Wealth-inherited-low ]/ q6 N9 x) F" _ I6 }* v, L
[ ifelse (wealth <= (max-wealth * 2 / 3))
O! Y9 N" q* B( _. h [ set color yellow b" [& t* g" Y5 t: o
set age 0
' q$ n& [; l5 j& z- y: |9 P# Y face one-of neighbors4 # U; g7 A2 y# q. t6 y' C. H
set life-expectancy life-expectancy-min +2 H& Y8 A& r1 m# }- \5 N5 f) v
random life-expectancy-max + 1
# E/ r& W% p% K1 J/ ^; o set metabolism 1 + random metabolism-mid
r. ^# B& `0 ?/ i$ \ set wealth metabolism + random 305 H( `$ N. q( P! M1 k i% E$ I
set vision 3 + random max-vision
$ R4 A! ?$ Q9 v set wealth wealth + Wealth-inherited-mid]& k* w R s" r( y! z; q6 P; x
[ set color green . G+ _" x4 p! p/ e
set age 0& a1 p+ x+ q# ]/ Y! X
face one-of neighbors4 , G) Q- p7 c `! E2 i& b
set life-expectancy life-expectancy-min +
" e: f8 u! S3 W7 { random life-expectancy-max + 2
g I/ P7 w8 ?4 n5 O) ?% q3 a" q* a set metabolism 2 + random metabolism-up
8 {) x C8 Q2 x- W set wealth metabolism + random 30 I! d0 i) M" t# _: G. b" t
set vision 3 + random max-vision
5 w: ]' x9 W! v set wealth wealth + Wealth-inherited-up ] ]
' F" k$ \9 k5 u, t+ D & \6 L+ C" @( J% }. M* h0 S+ x
end
% }6 r D- ~1 q* `! bto set-initial-turtle-vars-wealth
- |$ `" Z# u( U let max-wealth max [wealth] of turtles
6 m; J3 X) N+ f! G9 K set age 0
# ]8 B$ G' @; R7 d$ N face one-of neighbors4
5 x6 R8 q5 [! V& W; j( w set life-expectancy life-expectancy-min + ^4 g; o1 f, U2 `
random life-expectancy-max ' s8 z! U9 _( d8 Z5 W6 \
set metabolism 1 + random metabolism-up1 H; J9 ]" S( S, T3 u
set wealth metabolism + random 30
, S- r4 @5 s& g0 z. V9 c m! a set vision 1 + random max-vision
2 {0 J) y% J6 vend
7 y& p6 X& [9 K$ r6 zto redistribution+ X3 j0 S8 d6 |1 q% A. r
let max-wealth max [wealth] of turtles
' P. T2 D1 P. L! X, E+ ^/ _let min-wealth min [wealth] of turtles4 \+ }3 U( ^! L& U' d& R2 G% ^
if (wealth <= max-wealth / 3)
* F0 Q9 `6 E/ ^: t, i& R: ^ [set wealth wealth + Low-income-protection ]* D& g7 D% {* C O7 [
end
u9 w/ _1 i$ g+ R( \8 T
1 d( l& o) J$ M, o- {4 o" ^7 x/ @to recolor-turtles
' Q7 |( T$ N1 Z3 T) D; l. r let max-wealth max [wealth] of turtles1 R7 A) K0 ~. [$ H/ j
ask turtles
+ F% x6 ^4 E" \0 Q; [ [ ifelse (wealth <= max-wealth / 3)
+ G+ I4 _6 k* e1 D" f, @ [ set color red ]* w' d3 Z$ P P( i( U. o
[ ifelse (wealth <= (max-wealth * 2 / 3))
0 G5 w2 M; }5 I8 O& ` [ set color yellow ]9 \. q2 w, N& F% Y( X% J& I* F3 U
[ set color green ] ] ]& w9 @; k* l6 O4 i( B
ask turtles [ifelse show-wealth?
3 x" m1 q$ h+ Q( l5 ~1 L [ set label wealth ]" S# G1 e2 X1 U& ~% @+ D! {2 T
[ set label "" ]]# x! a3 O& m6 H( r/ W) A# Z
end
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to go
( ^* d0 S+ b! Z7 t ask turtles% c$ a$ e% I1 F( K* _1 b% r
[ turn-towards-grain ]
5 l: S. p G% m$ U% H) R' F harvest
% C8 \3 W1 I; Z& }& Y7 p ask turtles
; M5 y* L5 q. V7 G/ F% K1 r [ move-eat-age-die ]
* F: T1 B$ s+ e0 d recolor-turtles
/ A' f- |9 q6 j if ticks mod grain-growth-interval = 0 I) m" J! L' B+ ~4 X* H: D! g
[ ask patches [ grow-grain ] ]
+ M8 P( K2 k8 n0 _7 q
! Z9 e9 ~4 N% Z1 w- R& C* F; d! B if ticks mod 11 = 0
2 g7 g# W; L& a& {% m; T% @4 R$ O9 j [ask turtles
5 r% M( c+ \! j1 l6 T! j$ c( M [ redistribution ]]
& x. J8 M. V& q9 n if ticks mod 5 = 0
5 T2 m0 [# J" L2 c; G4 X6 n [ask turtles# W: O9 u" ~6 O7 r0 r+ W. N
[ visions ]]
5 G, H- O) Y# W% \ tick: J8 ^ g( o) c0 r: N1 ^
update-plots
" U4 K0 R/ ]4 N9 n" G1 X! nend( R0 z2 K$ x! p- H
to visions: l; i/ d% ^ p9 u# ]
set vision vision + 1 # L! [+ N! y; y7 c7 v" p( x
end
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% B _! e4 h5 P2 f6 ~
2 `! `. B1 I$ ?: {+ o! G. ~
to turn-towards-grain + C7 Y; O, \* R: V) [; E
set heading 02 B6 L8 V5 q9 ?
let best-direction 0
5 @* S3 s7 o2 s, L* p let best-amount grain-ahead
# W1 t2 _9 F0 Y& L set heading 906 |- r/ U6 l' E" [
if (grain-ahead > best-amount)
' B/ J) ?: e+ h [ set best-direction 90
9 L. G6 U7 x+ G set best-amount grain-ahead ]. L& a/ e# @7 r" m( L
set heading 180: Q9 h% q# _0 P+ T, Y) T
if (grain-ahead > best-amount)2 r2 s l4 f5 `, }
[ set best-direction 180
( ]$ C3 ^, ]9 j, V* _, z) h set best-amount grain-ahead ]! v5 V1 T; s& n/ l- W0 ` d# N
set heading 270% O" N, w. q9 T% k2 i
if (grain-ahead > best-amount): ` q, T' ?3 r: y
[ set best-direction 270
3 L' P4 M6 {/ ~- j set best-amount grain-ahead ] Q- r' S3 j; _6 L4 F4 U- E4 z# [
set heading best-direction* [2 ^+ R. @" i+ r- W1 m
end; y6 W- ~) C2 ^: r3 k6 d" E
/ ?+ w Y9 M5 J' i
2 @" r1 v. g8 i- e7 rto-report grain-ahead , j' r, M$ I' S0 d! n: }
let total 0( {% A& S' ?* u% }9 f8 l
let how-far 1
6 k; b# T+ U# e repeat vision) p+ t+ S1 }& l+ K Q- T* K8 j
[ set total total + [grain-here] of patch-ahead how-far; i1 e: r% {6 k9 K6 n$ }, k
set how-far how-far + 1 ]; u$ e8 C+ u' G9 S9 }, R
report total- v {- g6 @3 V+ d c3 r$ u
end# N9 R* f7 w! d/ I; R& S
+ b" a! \/ M4 }6 k5 n
to grow-grain " _2 W& h: _# V
if (grain-here < max-grain-here)
9 C( f! p4 \0 m# D1 [3 N) F2 w8 B [ set grain-here grain-here + num-grain-grown, O8 P! | U: W6 b# l$ C
if (grain-here > max-grain-here) : g, L3 t- h9 y: R r$ ]
[ set grain-here max-grain-here ]
2 l9 O7 B8 `; B% l9 O recolor-patch ]
) ]& t( M5 m) P, X8 o W1 d* Hend3 ]* ^1 ?/ B" X0 Q( K
to harvest# Q/ q5 K8 i2 M+ E
ask turtles
6 R$ @: D& P- Z8 I7 w [ set wealth floor (wealth + (grain-here / (count turtles-here))) ], G' |4 w1 n/ f6 U! G4 e+ C
ask turtles
7 \: }. n" D# R2 _" \: y: a [ set grain-here 0: D) e: K( \% N/ S
recolor-patch ]6 y+ h7 o9 C; P7 Q. U
/ b6 z' W6 L2 `0 _
end7 ?: `) |" w3 E8 G! ^0 `' b
! X/ g; H% n' i, u
to move-eat-age-die
, J4 W3 B j; V! T, w) _ fd 1
) J: Z" p0 V/ T3 f) { set wealth (wealth - metabolism)
& z3 {* |5 q4 f7 q/ ?1 c- C set age (age + 1)2 j% P. C# E- b
if (age >= life-expectancy)+ C% f/ P2 Z) v
[ set-initial-turtle-vars-age ]
* d1 U3 K/ L- e, S) F4 [ if (wealth < 0)- _# T( P" d! O! ^2 o
[ set-initial-turtle-vars-wealth ]
P) s' Q$ k9 L' Q0 I- B3 @ 7 ]( X" U& |& D
end' m" R7 Y2 V+ c$ F0 W& G( V9 o
: H8 `2 y, S4 E$ H% h
8 j5 i7 ^6 `+ D* O' |+ X. C$ g/ @2 u0 Q4 uto setup-plots: o# T' x2 g# Q% x( |
set-current-plot "Class Plot"0 s$ G. q' f; y/ D
set-plot-y-range 0 num-people
) D, ]# M8 c9 ^! Z set-current-plot "Class Histogram"
4 ]7 @3 x2 v8 F8 |9 L* ?5 N/ Y/ \ set-plot-y-range 0 num-people
0 N% q* _* Y2 zend6 }$ J% Y: g) c* P2 z" M! \
# _' ?# c* f# |6 _6 O& Kto update-plots
- j! P. z6 z6 A update-class-plot
6 H" a5 `: J. z- t update-class-histogram0 V. d' u D3 W( m! G
update-lorenz-and-gini-plots
% ]& s; i" X# L% [end) j1 A% }7 Y1 v0 _, Z$ O& b
* |- P/ h& [7 P" V/ L/ N0 E- K
to update-class-plot
P; L8 x. H/ {& m c% k* ^ set-current-plot "Class Plot"- _3 j9 H/ Z5 t/ ~# |
set-current-plot-pen "low"
- _# @2 P m6 C, | plot count turtles with [color = red]: b6 j4 \9 \$ A; e9 ?& _! ]" ~! u7 |) r* ~
set-current-plot-pen "mid"
$ x# Z& o7 N3 }3 N2 G plot count turtles with [color = yellow]
! ]5 g. ~0 V5 N1 Y set-current-plot-pen "up"
, ]* {; B* m+ b( T8 ~& X* @ plot count turtles with [color = green]
- p6 g0 E6 c: m& Q8 S+ E( }end( a- Y; J1 M4 v; `1 A
4 \, l1 @0 v( W2 V% l, m( k
to update-class-histogram: o, K. o/ t# g% b8 M2 ^( q% f+ U
set-current-plot "Class Histogram"; g+ A+ U/ a8 J* W [9 F1 q
plot-pen-reset
! z! ]8 @/ c* d0 b4 s/ \ set-plot-pen-color red
( N* @$ V, P) \; h2 q plot count turtles with [color = red]
! G; y, E' e5 ~) g/ V' j set-plot-pen-color yellow
8 k6 P; s$ O. @. Y plot count turtles with [color = yellow], `7 n9 a4 K' f9 V& y; w4 m
set-plot-pen-color green
3 ~ U& s; g- s$ \ plot count turtles with [color = green]- e* e5 z, ]# }. g4 t
end
+ T, Q& l6 d9 m: D9 w# Q0 n7 Zto update-lorenz-and-gini-plots' _8 w: l' D9 ^2 c
set-current-plot "Lorenz Curve"$ \, K" y3 a; g3 d6 b( T8 u
clear-plot8 s5 n& c3 ]3 D3 t
b$ g. I; d) \" O4 C) [7 R- I" }# Z2 }
set-current-plot-pen "equal" K4 U. N Z, [# P$ a$ O
plot 0* w; [& m, Z4 l4 f- |# @; O4 f
plot 100, p- H! ~$ t7 q; O7 U
+ ^; H! z s, Z9 J set-current-plot-pen "lorenz"6 u; I) {# ]4 i; E* z1 f
set-plot-pen-interval 100 / num-people& B2 n) Y, U% n; O- R) e
plot 0+ p3 k" N$ b7 k' z! B7 a/ G
2 M. [! j P0 z# I" I( O let sorted-wealths sort [wealth] of turtles
% z9 \; K2 L5 s$ ~% l let total-wealth sum sorted-wealths
/ W5 @3 z7 G9 U! k7 O7 ^ let wealth-sum-so-far 00 `1 L9 [2 r7 Z
let index 0
1 v- ^$ z% J) U) `7 W, B let gini-index-reserve 0 u5 [' P, s1 f8 {- _5 u
8 B. \% ?2 l0 r; o0 u @ repeat num-people [
; o5 _$ y/ s( a8 }8 J7 w set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* ^: s7 ]' {& B) i
plot (wealth-sum-so-far / total-wealth) * 1006 v; {% i% D6 {
set index (index + 1)
: l4 U5 e- J, q; h) J set gini-index-reserve. H, p3 a2 V5 ]) Z% m
gini-index-reserve +& \$ d* u0 B6 |* Y9 b& T' b
(index / num-people) -
9 F1 [$ I( _) g+ N* ? (wealth-sum-so-far / total-wealth)
9 S5 j7 H! [& { ]6 W7 I) l* O) S8 B' o
. {3 p9 H+ n) Z i1 Y set-current-plot "Gini-Index v. Time"7 H" @3 A% h" k2 Y" e2 f0 w
plot (gini-index-reserve / num-people) / area-of-equality-triangle2 J' C( C, F# x, ^$ N% @" @. i
end
: d0 i+ R) |6 Qto-report area-of-equality-triangle
5 {% @4 V2 R+ e6 |' P report (num-people * (num-people - 1) / 2) / (num-people ^ 2)2 Z1 A* K& | h+ A
end |