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
+ k5 N9 Q( |" c9 _% r3 zglobals" X: s: [3 I0 ]5 ?6 O
[
5 ?. `# i4 e& X- G6 V max-grain
9 ~' v) [4 C' v3 i! ^( x9 z
. z" s; E* M) I$ Q]+ H& v6 Q5 h/ H6 S) M
" k7 ~: l7 @2 P' a6 w; i
patches-own
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grain-here
/ I& C4 F% `7 s+ [4 I; R max-grain-here / R0 g' l7 l* {* w$ P# M
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turtles-own
( g* H- u7 }6 X/ O7 D& B[
0 U! D/ Z" Y- S; e& [- G age
! `! y {/ K! p1 y4 t4 [$ @ wealth
: P E9 l" p% p* C" {' X life-expectancy
- r- q7 Q5 D" c0 o1 a metabolism 5 l% `3 e' h; r
vision% ?/ C0 R5 w# V% U
inherited $ _5 K, j" o! |/ U+ b
]
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- ]$ p7 L7 Q4 G. b* g% \. P
; X6 G- K) d8 R8 u( Z9 n6 ]+ p- H' xto setup- H* W |) _+ \2 A
ca& k( y$ \) j" B \! N! S* O! n
set max-grain 50
" [5 y4 V; H. _+ b' E setup-patches
6 Q, d! o8 s9 t6 G# O setup-turtles
) N2 l6 d6 a0 @" q( ] setup-plots6 U! [2 y4 D ]+ d! x- h
update-plots( B4 y$ b* L$ ?# a, E4 A2 @- E
end
; O6 ^% v9 Y8 _7 d2 k' Cto setup-patches* l) E% t* n3 D2 t6 Q
ask patches
+ K+ _7 {& ?" d% ~0 O: ] [ set max-grain-here 0
7 m" [/ O$ U7 c% s, ~2 c2 K, X if (random-float 100.0) <= percent-best-land
! \+ j1 \+ V* f6 z+ v/ _0 F [ set max-grain-here max-grain
& L( E6 l, Y* `, ^" f set grain-here max-grain-here ] ]
2 `) t/ p m5 ] repeat 5
# U+ h: n% k# @9 \) o [ ask patches with [max-grain-here != 0]3 |# H* S5 c8 h
[ set grain-here max-grain-here ]
; F: C; u M, I( d% ]( v1 W3 ~ diffuse grain-here 0.5 ]
# T v& f% `, G% s5 { repeat 10
7 W$ w6 U! T2 k. J [ diffuse grain-here 0.5] 2 j" A1 G5 E4 @: n( V" w
ask patches
: Q6 K; p. x% A [ set grain-here floor grain-here 4 m! y4 f8 s. G$ e ~3 V
set max-grain-here grain-here
' z5 \! Y W+ F; r9 p recolor-patch ]
7 K2 L' S2 b" E% V; R. fend/ v, Y2 {, C) C5 z/ B R
to recolor-patch & \9 c) z* Y0 O8 t# R
set pcolor scale-color sky grain-here 0 max-grain& p0 L; `& m: T4 k% b& P
end/ s8 v/ ]) R4 U8 V8 E* Q4 T
to setup-turtles
, o: \2 z1 Y9 G- J0 D set-default-shape turtles "person"
* e' ~6 ]; Q* y" X0 g% q9 l; x crt num-people# r; {& i; u5 t& f0 g) ~, }# B5 `0 s
[ move-to one-of patches ! {) L/ u4 I/ h2 _
set size 1.5
, r. q" H, q4 }# R! l3 i1 M set-initial-turtle-vars-age* O3 p- R& b- @5 S
set-initial-turtle-vars-wealth
5 c2 `6 R5 ]5 h% `: s set age random life-expectancy ]
) y% F3 S3 U7 m/ z3 N* D recolor-turtles6 S) [1 |3 X' h) Z, G& X8 j
end( v2 o. ], S. P/ J2 k
% h/ S6 }2 {: F4 X! l; D( u- ~
to set-initial-turtle-vars-age" T& W7 g2 ?: W
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)2 z$ S) t, q* y8 t5 s/ g, L
[ set color red ( a& C0 K' R1 f V: O2 |
set age 0. E' m2 q& E* I9 T, Q
face one-of neighbors4
2 B. ~6 V% N* o9 r set life-expectancy life-expectancy-min +
5 m! S5 o( L6 d, P( y random life-expectancy-max # B9 @6 J8 h' H* ]; C, _
set metabolism random 1 + metabolism-low" ]; q) |) ?9 U' ^- T
set wealth metabolism + random 30
( H/ _0 n+ {+ y% y9 Z+ V1 _ set vision 1 + random max-vision2 i1 M. O. V) n; ?/ t2 ~+ g7 k
set wealth wealth + Wealth-inherited-low ]& H% u* ?) `2 M; K+ C+ s5 Y
[ ifelse (wealth <= (max-wealth * 2 / 3))
. S- b. m! b6 N3 _7 `8 G [ set color yellow
; ]" l1 C/ f; F set age 07 T; X; S3 X& X" q# p' M0 H; t' {) e
face one-of neighbors4
5 V* Z. W9 t$ r% ]# k set life-expectancy life-expectancy-min +" e! E* Q2 u3 }" Q
random life-expectancy-max + 1
6 W* a, x- \9 u; E set metabolism 1 + random metabolism-mid
0 Q1 [. Z, N3 L. D; O4 r4 K+ P set wealth metabolism + random 30+ R" l# u7 @2 F1 {* C& M
set vision 3 + random max-vision
% j# E4 D7 b$ O/ x1 q set wealth wealth + Wealth-inherited-mid]
7 Q9 d7 j+ P, W- F9 T; s [ set color green
2 z9 r, O; o" N! y- ^4 ]+ k0 K set age 0
; v) a8 u( g3 t6 u% O) @ face one-of neighbors4 7 [& Y: I1 J S' t5 P
set life-expectancy life-expectancy-min +$ W2 Z9 @& u" a+ H$ n" ~
random life-expectancy-max + 2; S$ f3 P; f5 Z" E$ ~6 C$ N' W$ [
set metabolism 2 + random metabolism-up
) I {3 S. x8 N" [1 I0 }6 w0 c set wealth metabolism + random 30) G, |2 k3 H0 _2 Q, S# L, O
set vision 3 + random max-vision
! { g/ O: y9 t, O1 U# r: S# e1 F0 U. ^ set wealth wealth + Wealth-inherited-up ] ]
3 a9 c' P2 x! t! ] 6 B8 ]- C5 R8 n7 {
end
$ q# \" e' U" U' a: V8 Y5 qto set-initial-turtle-vars-wealth: q8 h2 D$ c- U; c( u# O# `
let max-wealth max [wealth] of turtles
6 v9 F4 y; }* w6 h( F: O1 ?! j set age 0
# i, K: F, t2 @, ?. r( u' A face one-of neighbors4
* Z9 F% {7 f8 P# j set life-expectancy life-expectancy-min +0 i, s' \: K' M1 D2 q5 w5 i! z
random life-expectancy-max $ g+ y( Q! k; H+ R9 W
set metabolism 1 + random metabolism-up
9 p* `5 f' |4 O% Z. p set wealth metabolism + random 30
, r( D. j6 B p4 W4 x$ l X set vision 1 + random max-vision , {; a7 A5 e& o- J [7 Q; q J
end+ Q" U1 H: I, Q; Z4 {1 s
to redistribution
9 H0 ~9 ]* @3 a, l0 elet max-wealth max [wealth] of turtles' I! l; N3 ~( f# n
let min-wealth min [wealth] of turtles
: T; V$ u* w, [8 }if (wealth <= max-wealth / 3), t1 q. a" p' U
[set wealth wealth + Low-income-protection ]
1 {& p1 }& m# G, Z4 xend
0 A+ O+ }( ^8 ?7 f
! e2 ], A2 D4 E# R1 G8 d- Q/ tto recolor-turtles
4 ~) u) k: B$ V let max-wealth max [wealth] of turtles
) ], { M1 x$ k7 Q1 [ ask turtles5 R( P$ z. y+ @& _6 _
[ ifelse (wealth <= max-wealth / 3): J# _9 }5 g1 j& k9 D- C' N
[ set color red ]6 N2 @! z P6 [9 `' t/ P: J4 ?! j
[ ifelse (wealth <= (max-wealth * 2 / 3))
4 u' l2 f2 |+ W# p+ x2 G h+ R [ set color yellow ]
& m& k, p% z" T! I; U [ set color green ] ] ]
8 I) E2 Q8 D' n ask turtles [ifelse show-wealth?
7 H. t h' s g0 t [ set label wealth ]
! n1 t8 y; v& a, M( t4 b8 _ [ set label "" ]]
* Q. Y7 w5 s3 Z1 M9 v0 k9 l# Send
x2 [3 k% p5 k6 e0 Y/ B: \: F {* S2 J0 z8 H
to go
- F1 g9 ?4 y, I ask turtles. g3 K! g. {5 f2 B
[ turn-towards-grain ]
: D" ~' r4 o% e, Z harvest
+ M A" K+ Y5 j: L" j @! v' @ ask turtles3 {6 P# I7 T4 Y* Y9 o
[ move-eat-age-die ]6 f* d7 I; ]4 p* N/ z6 R7 E& B' y% [
recolor-turtles$ d- U" Z# ^8 v4 n
if ticks mod grain-growth-interval = 08 j) o8 e+ ?' b2 f7 u
[ ask patches [ grow-grain ] ]
9 \' y' B& X" x
$ A. V$ e ]/ v- T8 V if ticks mod 11 = 0) ?$ j+ q+ O c! v, g
[ask turtles( B: L. ?5 j! W, J0 B$ s$ u9 L l
[ redistribution ]]
: {4 H# y0 g$ F' s/ P0 v( N7 x! n if ticks mod 5 = 0
1 Y% c4 ~2 h; A P) G# W( A [ask turtles
2 Z* S- Q! q" |4 t. p/ G [ visions ]]! D" [/ H4 E9 p* A! r, {- Z5 L, j
tick
J( i* `: t/ i7 v$ s7 w update-plots0 m: s! ]3 D/ d4 `/ r3 p9 K
end
& ~. p w, b! S' v8 kto visions
$ D$ @ ^- N8 c. Z) ` set vision vision + 1
) d: H4 t" T' {5 {; Q2 `& n2 j3 [end: w7 C( x! [9 t9 ]
6 c- v7 E9 k7 l9 C( \+ c* p! y+ u9 x: b/ L& Y! r
, X, y' S( }1 e/ }& Oto turn-towards-grain
( R" L: j- ?0 j; ~$ G* z8 v4 P! S set heading 07 J) y9 F- }, c, {7 V+ ]
let best-direction 0( F! ]3 f+ l' D3 V
let best-amount grain-ahead2 n( X6 b2 P- O5 B1 I ]' y
set heading 90! h: ~2 a3 Z6 f
if (grain-ahead > best-amount)
+ O- @/ J `) @% l( I3 Z, E [ set best-direction 90
* O9 C2 A7 d: P9 L set best-amount grain-ahead ]
! v5 ]: B) L# R6 k7 T$ j3 i1 G set heading 1806 C6 q/ l6 [7 _( O* F9 R8 f( k) N) z
if (grain-ahead > best-amount). {. F% i7 C( J8 I9 ]
[ set best-direction 180" M4 C+ A; t$ W* o! i
set best-amount grain-ahead ]
1 U9 j, K8 W9 S0 r" k set heading 270
) n: d- i& E( J# p, f( p if (grain-ahead > best-amount)
: z/ u# z) Z- ?9 M9 Z( J [ set best-direction 270! _. x, l; O$ ?( Q4 e/ _8 f4 Q
set best-amount grain-ahead ]8 t7 L9 p9 F. U% z
set heading best-direction- u& f$ Y. r) A! U2 P
end
( l( X, m" B) k0 i6 a
$ U# h+ M; B. w+ a# `0 L7 Q/ O% U( g! w
to-report grain-ahead
8 u, Z+ ^7 F6 P) h. F, T let total 0
- c0 w6 H+ a+ h- z6 t( M; L let how-far 1: [1 Q( d# I( I7 ^
repeat vision% Q) r& ]! x& H, E. E5 F
[ set total total + [grain-here] of patch-ahead how-far3 ^$ S, E- u* _2 X2 T( k
set how-far how-far + 1 ]
- j3 m" C- G9 G' N& o! G& T report total3 N0 Z4 l6 `8 F, |- o; M
end
% l1 {; l$ A% }) T$ B2 r, S! E6 V. U r
to grow-grain
) B# `) y- d0 J! L* e9 {. p if (grain-here < max-grain-here)
* o: l) ^3 |8 ` M( i, U [ set grain-here grain-here + num-grain-grown
9 ]& G" V& G- i# v, V7 O if (grain-here > max-grain-here)
1 V) u; u6 t7 y1 w7 Z [ set grain-here max-grain-here ]
8 E. Y4 k$ o# ^, d recolor-patch ]
* b9 w& l# W( s" F" o& P/ {end. P/ g' W" e- K* q) u
to harvest- h% n5 {$ _; S" }4 c/ i# @
ask turtles
- S! g# c& G# `6 y8 ]) |! h [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 V; ^$ {; p/ F4 j. c
ask turtles% E8 n% C: ]' C/ @9 a; v3 A8 V6 f
[ set grain-here 0" D' I" r2 Y# n- j6 T p! D% O5 |
recolor-patch ]3 y" r* C7 d' c# M! ]
. E& ~. s+ A3 g5 k( Kend
+ A1 w) t/ n% I0 `& \
: O- V/ ~& v! I. Gto move-eat-age-die
( }- e, k i# Q# n g6 s( _9 w fd 1
$ `# f- ]7 D& |7 I" z set wealth (wealth - metabolism)) } z* @3 d7 C* v- O! U* y
set age (age + 1)& r* N1 s0 ]: j, `; b# r6 ?
if (age >= life-expectancy)- O) g8 B7 X8 n X; V1 E
[ set-initial-turtle-vars-age ]
: @3 S& Z4 q! i if (wealth < 0)
2 Y( ~& o" {5 H. \7 ~* m6 Z5 E [ set-initial-turtle-vars-wealth ]
! M {5 v! T' i+ o1 W) U( E " l% X+ ^' b- w h: [
end
: R! o+ k1 s( f0 x I
/ e8 }7 L0 s5 k/ o8 [/ M3 ?3 O1 B& f E4 B+ L# ~5 w$ b$ Q5 M
to setup-plots
( u" r/ A* V9 A/ }0 p$ F set-current-plot "Class Plot"
7 U n W2 Y0 V: g8 Y, y: ? set-plot-y-range 0 num-people% P) [/ T4 m3 f
set-current-plot "Class Histogram"
+ I9 }+ @3 | o6 N$ w9 z7 {9 q set-plot-y-range 0 num-people
' u5 l( a( _: l$ g8 E0 G4 k+ z) Aend6 P2 d7 c6 O! L* Z2 i6 s4 d) M; W
( E. A6 F% V' E1 S, @2 n
to update-plots
: k& i7 l! P( W1 C. x update-class-plot
3 r l2 s$ ?# h$ U update-class-histogram; ^& y, Q O1 w) [ T9 b @
update-lorenz-and-gini-plots
3 J& q: W0 t! Lend1 ^) W/ N- r/ ~
7 [9 |: [2 J) S; m& nto update-class-plot, }& J, U' _: K& `8 M5 ]
set-current-plot "Class Plot"
+ Y) C- ^2 G' X set-current-plot-pen "low"
. |7 C# O9 ^8 h" k1 s7 F% ^ plot count turtles with [color = red]
) B- F2 R; Z! y/ S- u set-current-plot-pen "mid"
/ l4 E! L; ?+ _$ U& G plot count turtles with [color = yellow]
7 ^2 u) V+ o5 o: I set-current-plot-pen "up", V. C* O! M: @% {
plot count turtles with [color = green]
; r0 h& \0 }8 a( v( iend
; I* U- ^; a6 ~# W% P {. f j1 [6 O9 b; P9 o! O" S
to update-class-histogram' }# ~: @0 s3 ~; m, n d
set-current-plot "Class Histogram") \" ?% {( M- Z7 h" z
plot-pen-reset
$ h0 @3 }" I" M/ O: \: X set-plot-pen-color red7 b3 B: C" Q/ Q9 ~* n6 ?! i* @- E
plot count turtles with [color = red]
, K$ _$ Y8 q% O. } set-plot-pen-color yellow
/ }9 v6 {) j/ \5 Q1 t* s plot count turtles with [color = yellow]: e9 F$ r7 Z$ s" T2 W
set-plot-pen-color green7 f: D$ ^- |+ k, Y
plot count turtles with [color = green]
( G' L! g9 i' e- A* T* A! oend
. f) }0 X% w2 S1 x. g) Mto update-lorenz-and-gini-plots2 F4 Z% ^' f! y; w2 l
set-current-plot "Lorenz Curve"
& r' C2 |5 {, i clear-plot& ]" J6 L& ^% q
0 k0 d, g1 v5 ^1 q3 a6 T
set-current-plot-pen "equal", a/ x' `8 S* B p5 N
plot 0
. j* Y: x% _" Z7 V' ?7 o! e plot 100
! Y! N) ?2 g' f, G6 v9 x8 I
( r+ h, V ^- R3 u+ V% Y! n set-current-plot-pen "lorenz"
' E' X, o1 Q: i set-plot-pen-interval 100 / num-people2 I8 I: \ X Q5 ?( Z6 S% m
plot 0
1 ?$ S, ]- `* K G0 E
) C$ f- V% _; j: \- H let sorted-wealths sort [wealth] of turtles0 X( n$ p1 c2 A" c- B
let total-wealth sum sorted-wealths9 ?5 I B# v" [; X. q- G
let wealth-sum-so-far 0% p, j1 t3 ^/ X' ~ L1 T
let index 0$ y( F- L* a, \, _' X- c8 D4 A
let gini-index-reserve 0
/ c. P7 \9 C! K% r
) H9 a5 j2 l5 E2 ]6 z repeat num-people [
& h$ a9 e* C, E6 I; m2 i2 } set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 s" L7 j( f; a/ Z# p plot (wealth-sum-so-far / total-wealth) * 100
# d, d( K+ m/ B2 b! _ set index (index + 1)4 `) R* G; ?" L0 ?7 n
set gini-index-reserve
1 R" }+ C/ H- z* t6 | gini-index-reserve +; ^: r* W w2 L* c( |
(index / num-people) -
( T! l( w, Q+ I (wealth-sum-so-far / total-wealth)* m0 G, f( ?) f( |* w* v3 o
]
' t' X8 m# d8 E5 Q, Y
8 U) { J' l/ N5 N% ~4 X* y set-current-plot "Gini-Index v. Time"
8 u, z3 d/ l3 }0 Y& [2 o plot (gini-index-reserve / num-people) / area-of-equality-triangle
3 Z1 J# z) `" M4 W+ r8 c% @# xend/ z( j) ?7 W+ [9 j6 h. U* S" W
to-report area-of-equality-triangle
@) y2 D3 r! ]2 a, K1 j% ^; B report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
! `$ d% C e' _ Gend |