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
& R4 v/ l; s1 G! M5 O4 f$ [globals
, ]: R0 Y& Q( u) f[3 p2 b _) @( V. I6 S7 ~7 @
max-grain 9 F4 I' c+ H6 u/ R8 x) w
: n4 L2 c2 n u0 X$ h
] Q' ~( R! X" R3 j
7 H% k U b" W; @) R6 \patches-own7 S8 I1 K. A2 c J
[1 h p& \6 q& a/ U& q
grain-here
' B4 r X9 p( ~- L6 H0 l max-grain-here ; a0 q3 O2 Y( p! C: b6 t9 x
]/ j, e# Q1 f% S/ N* x+ x% T
; r: G! {- `. r) I1 u: t7 U) jturtles-own1 {' e8 C7 x4 K; [- x0 [
[7 z$ k( x- A# A# t
age : K! Z$ [& S! v$ U& ^4 V. s
wealth 1 |& n: J8 E: \
life-expectancy
7 b8 t' L, b" b& o# T7 B9 u metabolism 0 C7 s# v6 F% I. Q6 Y; d
vision
) A9 W q n9 Z: M# B inherited
0 N$ V1 p8 \, G) k, N8 y+ a+ @% D]0 t! _0 u8 X9 g/ B" ]
9 S J# h! A p& A. l& o/ U
; {6 R& Q: `! q: a. c5 O& U" R' ^
to setup }7 F- i" L- K( B/ N* m6 R6 x6 `
ca
0 i/ b5 |( p) w& i2 M set max-grain 508 B$ |( r1 |& N* e: u5 B6 N6 f
setup-patches, V* C0 \; t* @& F# ]# Y; w! }+ m! N
setup-turtles
6 p* Y7 Y( L8 C setup-plots$ Z. F$ }: Y% q! {, ?2 d
update-plots
% I* s# J& {; y: Xend% j. K3 {- {; W7 c7 {
to setup-patches
! j3 [ S. w, V ask patches
3 G3 n( T! T5 H4 w3 M: ^2 W$ @ [ set max-grain-here 0: W9 ^$ t# m/ Y- v/ P
if (random-float 100.0) <= percent-best-land
) V6 Z( `3 J% d, S% P [ set max-grain-here max-grain1 U! S; X1 u! `/ I
set grain-here max-grain-here ] ]) i1 ~2 y8 ^$ x6 N
repeat 5
3 |6 y4 E9 B2 u7 q, }. V [ ask patches with [max-grain-here != 0]
$ {1 e0 g' m1 W( a6 \/ C [ set grain-here max-grain-here ]
7 Z6 S5 C9 A7 v7 j U9 S diffuse grain-here 0.5 ]
% F, S2 ]: V2 |2 Q( o repeat 101 Q' e, g# S, x8 A2 L
[ diffuse grain-here 0.5]
& r0 e* r* d B ask patches
X. f" \6 I. X5 W% U2 j: \. U [ set grain-here floor grain-here
; b8 t. k/ p/ E' J; j set max-grain-here grain-here # P; w" M2 l2 h$ d' D+ H
recolor-patch ]
+ K& d! F* t% l9 h! Rend% u4 k9 o j: I1 B4 Q2 D) |( c
to recolor-patch ; B" x S& |# E# }# j4 z
set pcolor scale-color sky grain-here 0 max-grain
0 I0 C7 ~) [; P1 X" P, C. Zend% U* p# J2 m' L) c" p1 u' J
to setup-turtles
( |. R8 q3 x' C* K# B& g! B set-default-shape turtles "person"5 r& U; B2 |% O d5 F% X. M
crt num-people# g+ u- x6 Z0 _4 [$ B+ G$ _6 C+ B
[ move-to one-of patches
, s$ `, m4 v3 f7 ^ set size 1.5
1 P* d. F8 k* g# p+ \7 Z set-initial-turtle-vars-age
D3 ~; @! Q' c8 ]0 l3 F( I set-initial-turtle-vars-wealth
% ?7 G' ?0 S. r set age random life-expectancy ]3 J. Q5 r' f4 e, `' z8 H! M
recolor-turtles7 t; q( o& O; C# d% e
end
. y: _8 p7 V5 R" j+ w& b
, q# w9 G- i8 i2 q9 Nto set-initial-turtle-vars-age
3 J X& A( q9 a, n, f3 h let max-wealth max [wealth] of turtles! i8 F& g) p: v7 z, j
/ G9 _- x2 Q9 v( Z2 | ifelse (wealth <= max-wealth / 3), y/ n- k" ?7 L' ~ b
[ set color red ) g# C3 t: A$ q7 Y& R6 Y- H* G4 K0 [
set age 02 L! O, x6 I; M( }0 Z# p$ W2 Z+ U
face one-of neighbors4
0 ]- [1 p5 p$ N% _# u set life-expectancy life-expectancy-min +
. p5 O/ C* M8 v( y' H random life-expectancy-max
- A' H9 k7 w. |8 x* \/ F set metabolism random 1 + metabolism-low' P% { h9 Q4 N- |
set wealth metabolism + random 30
0 k, U$ ]& s$ W2 G$ V2 N set vision 1 + random max-vision
% [. U( h0 l8 E4 P set wealth wealth + Wealth-inherited-low ]
9 D+ {7 x1 ^/ k [ ifelse (wealth <= (max-wealth * 2 / 3))
8 n: X1 b$ m* W2 S% Z1 m [ set color yellow
/ {# E3 Q. ~( |" | set age 06 t8 U$ L* K3 l0 T' u
face one-of neighbors4 4 @( ?. Z' w+ _
set life-expectancy life-expectancy-min +
8 p9 o. [, e( m) U) c4 t random life-expectancy-max + 16 d$ Z; D: z0 o
set metabolism 1 + random metabolism-mid
5 A, o7 u ~( v' C# | set wealth metabolism + random 30: l: v) x5 q5 A0 Y) J9 V: Y: O
set vision 3 + random max-vision8 k' Y" V5 a& W2 [
set wealth wealth + Wealth-inherited-mid]
' g( {2 c# }& ^# N- f& T1 e( J [ set color green - M4 d9 k C. M) l" Q
set age 0+ K1 {& ^. r8 d r1 I) }: q- y. k+ l! c
face one-of neighbors4 ' o- E9 U) Z0 o) T: o
set life-expectancy life-expectancy-min +. d) z; _) Q$ |. H2 O2 u, W. ?* H
random life-expectancy-max + 2& Q& _. {. b( k6 V* n \$ H9 b
set metabolism 2 + random metabolism-up3 s( w7 G4 F* q( ]# {
set wealth metabolism + random 30
3 W. y6 e$ J) H5 b- [ set vision 3 + random max-vision/ b ?: J$ D9 [2 t& M
set wealth wealth + Wealth-inherited-up ] ]
* f3 j9 w" J' B$ ]6 |2 |1 U0 ]6 U ! K8 w9 C6 w5 T8 H# h5 m" W5 p6 L' M! J
end& S' r% H W; |$ \
to set-initial-turtle-vars-wealth& k9 W4 J$ [& G# W1 l+ a/ E8 I! d
let max-wealth max [wealth] of turtles9 m5 I' ]: i7 U) k ^: b% i
set age 0& `0 Q" f% Z! U" b8 n- z
face one-of neighbors4 $ @* C$ |. `! T9 y8 R& i
set life-expectancy life-expectancy-min +
, \% k) _2 I+ G: J: M random life-expectancy-max 7 V& u% Q3 y8 V* u# i
set metabolism 1 + random metabolism-up6 l: p; P& l; a/ b/ \
set wealth metabolism + random 30
/ r& l; Q% v0 s7 v set vision 1 + random max-vision
4 u: N( p R+ H+ B7 U3 _7 iend. y# H ~, Z# j
to redistribution
6 O$ _# P2 D5 M* n0 r0 Tlet max-wealth max [wealth] of turtles2 _0 X4 Q$ M. K3 k
let min-wealth min [wealth] of turtles6 ?, q4 q& J% O. t
if (wealth <= max-wealth / 3)
% b% o0 X. M) F+ k; _ [set wealth wealth + Low-income-protection ], @7 ?* d( U: R, \
end1 o1 y- t; U5 B/ h: i0 j% y
8 U4 n7 _3 g* u3 gto recolor-turtles4 m% L2 _9 c! y/ R/ A2 D
let max-wealth max [wealth] of turtles( o& }$ `: i6 ?0 W, h( r
ask turtles
- \% ^& F0 ~0 P _ [ ifelse (wealth <= max-wealth / 3)9 X5 r G- V0 P6 J$ x2 o0 F
[ set color red ]
0 T/ p+ i8 r; H [ ifelse (wealth <= (max-wealth * 2 / 3))
) ^! r3 t" v/ @0 T [ set color yellow ]. I( H( W1 y4 I' k6 R) Q, m
[ set color green ] ] ]: d4 ^1 c# ?" K0 w. f& T6 s% p5 U U
ask turtles [ifelse show-wealth?
+ Z) k# L" C/ l9 A3 n [ set label wealth ]
* S0 d; V3 U: e) C2 G& r [ set label "" ]]6 c8 O, U V7 f4 A
end
1 e% F* g$ |% b0 G; A; k$ X1 o: R
to go5 \: c0 R$ R) u$ V9 A/ }
ask turtles8 O. Z- ~7 z" n$ g. S" w3 z
[ turn-towards-grain ]
, m3 f H& O, O4 R- A* x harvest0 w5 j2 x% I: |9 h
ask turtles
/ N9 I) T' Y9 O5 y# H [ move-eat-age-die ]
# T; z+ d9 E) A, E6 P+ ~ recolor-turtles
) J. W' s8 _1 u1 K5 j if ticks mod grain-growth-interval = 0
7 c- }/ T* }. l* f, } Q! d2 H [ ask patches [ grow-grain ] ], L5 I: c4 u- C2 R
+ k8 \$ X; U, b if ticks mod 11 = 05 K- ^$ ~5 I6 E& r7 s6 i
[ask turtles- X& ^* b9 c6 C3 Z1 G' {- z8 q/ R
[ redistribution ]]) {' i, E. W+ j# ~( u8 q: O
if ticks mod 5 = 0
# g- t0 j2 q# i [ask turtles
2 h/ I5 u3 D2 A" ?7 }, A) M [ visions ]]+ A+ s$ S3 F- | L2 T; x6 S
tick
8 U. _6 Q; m8 B0 q update-plots
5 p: |- D- ^8 }; u9 Y" pend
/ j0 d! k U9 S, a) Xto visions
, _; p% P* w' l' Y8 D* N% A set vision vision + 1 * {4 Z. p1 |8 T5 S- d3 @% ?& d( _
end
+ V( L% o5 \. F1 s. W4 Q( b: B8 x. J5 j8 H4 w1 s
( Z; J) ~7 |! p ?; F0 D6 i4 n
to turn-towards-grain
$ g$ l! P! n3 ?" h' |0 W set heading 0
$ }4 C4 d. }0 A4 i let best-direction 0
1 J9 k) V5 K) A+ U let best-amount grain-ahead
5 i5 d) A& Q5 _ a" Q- H" k$ `) _ set heading 90
: t) i2 d* g! d+ E( ?6 }+ E if (grain-ahead > best-amount)
9 |+ x# T, |3 z3 g [ set best-direction 90( `7 V' D- t0 F0 {; Z7 w0 s! n6 S
set best-amount grain-ahead ]
: L( i4 X. L3 ?1 Y" O: H) a set heading 180
: o! D3 ?7 p. _ b. ~- m# q if (grain-ahead > best-amount)
' J( [9 n, [8 Q. `6 K1 [ [ set best-direction 180
, e; V. [, A- y! B Z7 j6 @& b set best-amount grain-ahead ]
- z2 g0 P" {1 W/ b" M% b set heading 270/ C0 ~0 J6 G7 I
if (grain-ahead > best-amount)
* r2 L% ^& B9 g- ^$ G [ set best-direction 2708 D9 l7 H8 u% k
set best-amount grain-ahead ]
6 h% X K8 d% j0 O set heading best-direction0 c: S2 D) c1 W6 J" d) Z( }
end
) ~, U& q6 K _& @0 J" M& \5 _0 A9 b7 d' ^/ e* `6 Y+ s
- w5 A/ u$ { a: Qto-report grain-ahead + S7 f0 U2 {) G1 D# X- F
let total 0
9 w) j# J" w+ |7 i let how-far 16 l+ F9 Y" y- S+ I) a8 E( h- A
repeat vision
) M# G3 L6 B$ E- u) ]. o' k& A [ set total total + [grain-here] of patch-ahead how-far
( \: i, k# g; J% b& d9 s5 c set how-far how-far + 1 ]( W# b2 d0 \$ [# d, g
report total9 \" S g' n6 S* x
end
3 q4 u% G* e( Y7 P9 g% Z; u1 [9 E
to grow-grain
8 s# D$ J/ W9 G# _$ W if (grain-here < max-grain-here)
% I3 h w& D c, V [ set grain-here grain-here + num-grain-grown4 [3 r7 `* @% U
if (grain-here > max-grain-here) 0 w. M2 k2 j3 U; Q( V& R" o, J) [
[ set grain-here max-grain-here ]
! M2 g- y7 o7 L, L recolor-patch ]4 Q* r* ?9 ^4 x/ X; ?3 s2 {0 p: B
end
c: h" \: J( l3 g! q3 Qto harvest
6 m0 L' x" A3 U/ M ask turtles" W6 n0 n( O# b: k
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ U4 W6 Q- F; i, k+ G- L8 d- e0 F ask turtles7 J& b0 f9 E3 f! |8 b7 N6 q
[ set grain-here 0
, ?3 @0 |# a$ b7 ?8 T1 c2 V! o recolor-patch ]! B! r7 O6 `* t) c. r
/ t! @1 {( i- n4 Tend- \# _' S( }$ I9 F: G8 ^) g9 M3 v
8 S8 g- b( t' X1 u9 ?
to move-eat-age-die
1 ^/ [/ t6 i0 V6 v fd 1
8 L+ }: Q1 D! r% n3 e2 |7 E set wealth (wealth - metabolism)
2 ~. q( Y" v- G1 d9 N) l! o set age (age + 1)' M/ N5 T B* n' @$ A4 o c7 D( b; v; K+ r
if (age >= life-expectancy)8 v8 E' B9 u4 s8 g \
[ set-initial-turtle-vars-age ]2 P/ e- A4 Z: F2 o+ c
if (wealth < 0)
7 c1 O v5 W3 {& k4 {7 p5 P/ D [ set-initial-turtle-vars-wealth ]
! B5 Q# e n" x9 V3 T$ \) N ; k; v1 C- u7 ^6 i
end' u: J* ~7 ?% Y2 y- e
* J$ [ r4 ]! M7 V3 \* L% a
0 {+ I0 \4 r7 {) Y9 ~8 \+ `to setup-plots
' m" g: A2 f% K3 Y' p8 t set-current-plot "Class Plot"
% `# w" B# `9 o" S- d set-plot-y-range 0 num-people' F% _, b+ h. \. Z' y5 H& G
set-current-plot "Class Histogram"
w1 H7 ?# e$ {4 d4 S. | set-plot-y-range 0 num-people& B7 z, {7 c2 j: F. t
end% a) x0 v2 e, P; j, e6 N' i1 i
/ B9 F, p6 |$ G* ]4 I
to update-plots
2 M% b& G4 B4 Y3 h' o1 V update-class-plot
1 P5 `9 ]6 B; A$ V u) D0 c+ x. H update-class-histogram+ {- v9 L* T% g2 G' u) Y
update-lorenz-and-gini-plots
% o( E* C$ `9 ?, wend2 c5 p5 u" C) o& M' e1 C' m+ r
2 R6 n- B0 ^( H; Q9 z, T3 b
to update-class-plot
; D& l9 Y3 m8 M# b( E; q; s set-current-plot "Class Plot"8 ^" Q) [5 m9 Q0 R4 F; e
set-current-plot-pen "low"
5 ]: |7 B E# `" T! _& Q plot count turtles with [color = red]& o9 f4 p5 J4 d
set-current-plot-pen "mid") ]! C V& v$ M. Q5 X& G2 y
plot count turtles with [color = yellow]
' z* R* f3 e& S9 O+ O l set-current-plot-pen "up"
$ z, |" ]4 V! Z. H plot count turtles with [color = green]
) U; _3 z. y1 I uend
1 u/ q5 }. W. i% Z. I) H4 P& d
+ y5 k; V7 Y1 a; N. lto update-class-histogram0 Q+ p/ }" [" F
set-current-plot "Class Histogram"
4 ?0 ?# L$ k9 F; `) T* V plot-pen-reset" Y* R9 _. m5 E- R
set-plot-pen-color red
+ ^/ R% ~: C% z# v3 w# G! n plot count turtles with [color = red]+ |% \2 J1 O! J' L5 B
set-plot-pen-color yellow
# n- x; G! P! ^% @ plot count turtles with [color = yellow]
3 n( J% \$ q% S4 Z, s. ~3 y set-plot-pen-color green! g9 q1 X; a/ B% {. {7 w3 g
plot count turtles with [color = green]
4 d/ W/ M+ A" Kend
7 Q0 R2 h9 E6 K; P7 a$ yto update-lorenz-and-gini-plots3 y: X/ ]& ^ w8 D
set-current-plot "Lorenz Curve". ?1 A; C# {3 y0 u
clear-plot
2 B) i2 i; w# p* d3 ]5 D i7 Q; Y1 ?& Q* w9 v5 b
set-current-plot-pen "equal"
3 e; V2 \- C! j' b# E( d# | plot 0
0 ^. a; t. A7 g" N# x plot 100- @- }3 T/ S, q) |* f% k
, M4 l% K! z7 F1 x: D7 ?. K set-current-plot-pen "lorenz"0 Y/ S% r3 \* m* S
set-plot-pen-interval 100 / num-people- [; Z% j& j6 M. v3 H
plot 0! U8 C% p- E$ t) M' P! M! j
, I3 H" Y7 Q1 A' Q. l let sorted-wealths sort [wealth] of turtles
2 N6 o2 T$ V( ]( a2 j2 k' K let total-wealth sum sorted-wealths5 m# M' [: |5 d+ o
let wealth-sum-so-far 0
; h5 R3 h3 l4 n) t) G let index 0* e; @& D; m% H6 o8 k5 i* g
let gini-index-reserve 0
6 F( k7 y: \" f2 e, |& z5 m" D l. B4 @( U: g0 W. [# h
repeat num-people [: G7 ^* M3 i6 F2 W7 @, P0 J6 R$ x
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! S3 K5 k# s6 \9 X7 u! a
plot (wealth-sum-so-far / total-wealth) * 1007 A2 p9 n4 N1 e3 g0 ~. }' ]. T; [
set index (index + 1)7 n* J/ l: G# h6 ]+ s
set gini-index-reserve
/ {7 T8 o% D2 m! Z1 U4 O gini-index-reserve +
. L% \, Q/ U2 c# ` (index / num-people) -
/ b& y. v1 J" d5 m* S$ P (wealth-sum-so-far / total-wealth)* p5 ~- E0 B g0 E- ]) e8 S% H
]; U. c; U# ^4 I2 s9 z
" ~3 C" I" B+ H+ ?: U set-current-plot "Gini-Index v. Time", W$ M6 q" R" i, G/ z5 q) Y
plot (gini-index-reserve / num-people) / area-of-equality-triangle' p& @! R1 K* \0 m
end7 S8 b2 e7 _& V( N: r) k; h& t
to-report area-of-equality-triangle
" L, M# g6 d! _3 b; [+ }+ X report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 u$ G+ [& L6 A" f1 f
end |