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0 D% c# s8 X- p2 i. l
globals
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max-grain
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1 r4 M; `, o! K" Y5 x& o8 [9 A9 ~" M]0 `0 P- y) ~- a; e' I+ a
7 b9 X$ ~) H8 n* y
patches-own
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grain-here # `7 ~* X& K, l1 v
max-grain-here 7 a2 U2 ^. K8 O o) D+ ]/ R% r( w* R
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& [" @% ~! ]/ s4 x t
turtles-own
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age
7 D+ {! `. t7 s8 M wealth + K) y. m5 P- P! R$ v
life-expectancy 7 j6 U5 t: \, C: Y
metabolism
4 i2 _( R/ A$ l; y vision$ k1 t% h! d5 r( @ ~9 O: k5 H9 S9 Y
inherited w" L5 v" m# z8 r% p) ^+ X
]
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8 H: C* q( Y* x9 ], C
0 K& Q4 D) e+ L5 o$ sto setup8 a0 k& @! ~5 V+ W# w
ca; J: z( B: T+ T$ E1 c2 P2 R& s5 c
set max-grain 50* p- y/ q3 [4 _: n
setup-patches
& Y3 }8 A( u+ F setup-turtles
% x; ?9 o) Y3 K J5 V# c4 C setup-plots. y+ T/ R1 \8 r
update-plots/ p* s7 n: h" ]9 }# U" ^. n
end1 D/ o. M' X( S" ~7 V
to setup-patches
9 m$ s8 q8 \& H/ x% [8 _* C ask patches7 T8 [( r- c3 n6 l3 ^" `
[ set max-grain-here 0
! y' C, v) c5 T! S if (random-float 100.0) <= percent-best-land
* }% c/ n' x' ] [ set max-grain-here max-grain
" t& R k5 @# Q: K7 [6 \4 [ set grain-here max-grain-here ] ]
% S7 `5 ~, T7 I j' L repeat 5, j" ~: p) u1 q& ]. T
[ ask patches with [max-grain-here != 0]
- L+ `5 }5 J: K+ o/ ~% } [ set grain-here max-grain-here ]9 M$ u7 [) |% l% v) S0 Q
diffuse grain-here 0.5 ]
4 Y3 L4 u0 v9 L& `" A repeat 10/ [0 A- J; r7 j6 n* C& d+ r; G
[ diffuse grain-here 0.5] 1 l, \8 I/ _/ c) }1 H
ask patches0 `7 v$ h7 m, H0 ]
[ set grain-here floor grain-here 2 V8 p* a m7 w" @9 m
set max-grain-here grain-here , N9 i9 q/ L% \ z9 N7 g1 Q
recolor-patch ]' x2 G1 `* s0 y; H& ]* h& v
end
8 |6 B- L8 t5 \7 s2 m. N- ~to recolor-patch 3 [5 _/ `# b3 e4 i
set pcolor scale-color sky grain-here 0 max-grain
* }3 J$ I; m6 q( Hend
% q- L% f+ w) O# H) k) rto setup-turtles
2 v6 w* M9 @7 G7 u+ m1 s set-default-shape turtles "person"
3 ~& k7 R/ l7 d0 M- C: Z$ t crt num-people" `) v: h6 w6 o% [4 [6 w: |
[ move-to one-of patches . o3 m3 Q) h# X# Q; q
set size 1.5
4 h" I) {, Y9 ?$ a set-initial-turtle-vars-age: P) _0 ]( _+ A. p! W9 j3 \0 q; l
set-initial-turtle-vars-wealth
; F: b- ?9 d: H2 j6 f: q& |# b" A3 v set age random life-expectancy ]
' b# l6 l" ]& f3 `0 K* _7 O' N9 d recolor-turtles
' o# [/ T1 k0 B2 Uend# g4 s1 f- T% v' d7 g6 ]9 I/ ^3 j8 q
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to set-initial-turtle-vars-age, m- z7 i* ~3 h; h$ P
let max-wealth max [wealth] of turtles. ?& p3 \: Y* _8 g
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ifelse (wealth <= max-wealth / 3)
; N) r- s; w4 e [ set color red 7 t4 q3 T- f( O% d: K! ~- J( e& F
set age 0
6 m! G! H1 k7 \0 Q% V' M face one-of neighbors4
: E7 Q J0 c$ j" G. ?& ?! I6 a5 { set life-expectancy life-expectancy-min +
1 _6 M& o) Q6 ]% T random life-expectancy-max ! V; E T2 @1 l. W3 u. s( o
set metabolism random 1 + metabolism-low
* x1 m3 [, ~( O+ h. z1 } set wealth metabolism + random 306 [7 w* O. S" V }
set vision 1 + random max-vision( p! v* X8 ~: A6 C- i. u0 t
set wealth wealth + Wealth-inherited-low ]2 a7 X. l3 R- N. C* G
[ ifelse (wealth <= (max-wealth * 2 / 3))
; l1 B5 J: r6 U5 A8 r' X! g [ set color yellow ! q( |$ i9 F; t6 A4 o5 e
set age 04 h8 f% ~7 A8 s: H1 f
face one-of neighbors4 0 c. e3 T6 w2 _# V- X! b$ V( M- \% h
set life-expectancy life-expectancy-min +; w+ l- ~# W1 D5 Q% x7 D+ u
random life-expectancy-max + 1( }: g! I; P8 g! D. l/ K7 ~
set metabolism 1 + random metabolism-mid
/ }& e# A- \! s0 r/ s set wealth metabolism + random 306 J6 {. F; a7 N
set vision 3 + random max-vision
1 J% ^- z) U; _" W: i" F# ^2 k! x7 f set wealth wealth + Wealth-inherited-mid]* `, u- I/ o, m; Z+ O* d( o: J7 N
[ set color green ; i9 O4 v$ {& V6 R
set age 0
# k3 T; M, q0 a2 R face one-of neighbors4 . T7 r0 h5 C: w
set life-expectancy life-expectancy-min +
! g* |0 R. c& c% [0 {+ s' L1 D2 ? random life-expectancy-max + 28 E& {6 h! V! d5 @# Z d& D
set metabolism 2 + random metabolism-up
. x k6 `2 H5 h# l+ u set wealth metabolism + random 304 G6 D A) @2 @- r7 h- Z
set vision 3 + random max-vision* O3 j6 o ~% m% r2 |3 r
set wealth wealth + Wealth-inherited-up ] ] , ]6 ~3 X0 t0 J9 }
$ T! ~) ^+ t9 H2 N6 |end9 N0 n- y/ m9 P% q
to set-initial-turtle-vars-wealth
" o/ Q1 f& P' a3 I4 N* A let max-wealth max [wealth] of turtles
: _+ @1 v7 \" j) @3 O set age 0
% k: j- Z. D! }- ~ face one-of neighbors4 - @/ u$ t% |1 S/ G5 A% Z
set life-expectancy life-expectancy-min +
+ b- \2 [0 s* B9 o5 ^ random life-expectancy-max
+ d0 \6 k2 A/ B6 k/ \; [( z set metabolism 1 + random metabolism-up' r& r8 o' B/ X) b1 ~5 `, `+ k
set wealth metabolism + random 30
' h+ e+ k$ w3 b. I3 P0 p. Y set vision 1 + random max-vision
# l# a; f7 _: U7 Y( K& Rend! f1 q' f% y1 v& v# J* U
to redistribution
8 g. s$ J( t: ~9 |2 g+ ~+ Zlet max-wealth max [wealth] of turtles0 S: P3 u% r, {
let min-wealth min [wealth] of turtles
/ X% T9 `+ N3 X$ U% X0 J) \if (wealth <= max-wealth / 3); U! {# m$ A3 K- ?/ `
[set wealth wealth + Low-income-protection ]
$ h$ I: c: i: U0 D/ @- aend2 y7 `3 f# X% y/ u- a
0 P9 U: \& Y5 K7 v! Gto recolor-turtles+ F( H7 X0 m' l" T7 a) n, W( l0 [- B2 o
let max-wealth max [wealth] of turtles
4 t# t1 r6 \3 k, y& o/ h ask turtles
; K* C: R$ P v; f; [, w8 i( N% L [ ifelse (wealth <= max-wealth / 3)" F; i0 I: `: J; Q/ E" P& N
[ set color red ]
2 c' a5 x; z5 ?9 [" _ [ ifelse (wealth <= (max-wealth * 2 / 3))4 K' M) R8 ]& K& u
[ set color yellow ]5 b& Q2 _8 G) z9 x' l. G
[ set color green ] ] ]! Z$ R$ i/ Z' \& d% g5 G. s
ask turtles [ifelse show-wealth?
- ^, ^# ^7 \ n7 W0 X3 N6 z% O [ set label wealth ]" H8 {) f. V5 R) F/ y
[ set label "" ]]! v) K7 J3 ~+ T
end% f. Y+ o! m; t: M) q; S
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to go! |+ w+ N7 A# f- ?9 ^6 ^
ask turtles: x7 S2 K& Z( q& B# `( l2 ]' l
[ turn-towards-grain ]
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ask turtles
( I; }$ J6 u8 N [ move-eat-age-die ]
6 T4 l5 ?3 \. M5 p recolor-turtles7 j+ G J# i) Q7 `/ V- O6 D
if ticks mod grain-growth-interval = 0. D4 J, d. d! b U$ ]
[ ask patches [ grow-grain ] ]4 _( s9 Q8 K0 r& E# v
" `3 L1 ~# e* T$ Y- [, B
if ticks mod 11 = 0: N) f/ Q1 s9 ^9 \' K+ U6 e2 l
[ask turtles7 z8 `+ |: A3 G ]# b3 ?
[ redistribution ]]
) q! ]4 _4 N4 o4 d if ticks mod 5 = 0, x9 w* G5 \& o" r5 g
[ask turtles6 G, W6 m. H) ~- F/ x( M, H. _/ c% r. L' K
[ visions ]]/ {( O2 g/ D9 ^. P" K: B c
tick6 a5 m. D& M! h% O7 |
update-plots; J* S1 b: {0 P7 m% G/ @% k
end
2 a2 x* ?: I3 p- K7 H: ~. Vto visions
( M, E5 l/ `# m" x2 {: [ E0 |6 R set vision vision + 1 / c5 {+ ]: N- S
end; _/ q9 H5 X% _2 b
0 b; r' K ]6 [3 c( i
6 ~3 v( p! O9 j) D: o8 W: T$ M+ C# e, j- B
to turn-towards-grain 6 ]% d3 @% M L( h/ W( ?! s# [" v
set heading 0
% l& p% S5 X$ C+ M let best-direction 0
" O2 K! n9 J& ], { let best-amount grain-ahead
0 B4 I" z x. L$ j( `. N set heading 90+ I- N) x% U, D3 [- e8 D& M
if (grain-ahead > best-amount)
2 o: C# E9 ?, V6 F" Z" H [ set best-direction 90
' ~- P: u$ o) b/ g4 ^0 d. Y set best-amount grain-ahead ]' N: ]0 X! P! Y; M& [
set heading 180
- }# {* k8 y" M- ]! K+ d if (grain-ahead > best-amount)
+ E+ }+ H; T, H [ set best-direction 180, i( [2 ?7 M# q7 D$ N
set best-amount grain-ahead ]
$ R# H8 v& U5 Q* _ set heading 270
1 a0 h- ?0 ~( D7 X6 T if (grain-ahead > best-amount)
/ n1 J0 f; ]( u8 Q4 J0 U9 | [ set best-direction 270, o0 i \/ J* C# [0 b
set best-amount grain-ahead ]- c& s& [8 ~ C' [, ]% u
set heading best-direction F, q k) Z0 M. f
end# b" j, R2 @) y# {
% w9 G8 h8 f& q
: r8 j& ?1 P1 p6 Dto-report grain-ahead
, {% b$ l2 Y3 L5 o7 ]7 c let total 0: m8 j3 y8 }* R' O# B
let how-far 1
" j7 U% G* y3 w7 Z repeat vision2 k' i5 D, q( u! O1 Q- B& D
[ set total total + [grain-here] of patch-ahead how-far" c0 n* w- m5 E9 V
set how-far how-far + 1 ]. x; ?7 H1 E$ u, g- c
report total
! M8 A9 x7 C- Q) d* Iend
8 h7 _& _0 D9 y' ?9 r) V: R
1 y$ n' R& K E. L3 J! Oto grow-grain
0 u( h6 ^: I: s. m4 `. K4 S, ~+ Q if (grain-here < max-grain-here)0 s+ O3 t9 ^- d- w
[ set grain-here grain-here + num-grain-grown
" i; d- L# z) Q9 X* h if (grain-here > max-grain-here)
) V+ W0 O: z* [! p7 @ [ set grain-here max-grain-here ]
# J4 F* }# u0 Z0 w3 q% o2 x recolor-patch ]
/ Q6 P9 j/ {5 U0 I) C1 Kend( b) z: o& ^' [ e1 s
to harvest! h/ ]; a4 m- G' M& `# R
ask turtles
9 D- W9 \5 H) ^( I( N4 p: s [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% I# |5 V; O- E0 R7 J! e" D+ {
ask turtles# @" m' n' G2 U- j
[ set grain-here 0
9 w4 ^2 r* F0 V. f, S# z! [8 ? recolor-patch ]
3 ]. ^# H% [/ a. U" M% t; ^: L # z; r/ q9 b* f }% x1 @/ }
end- `; B/ p; _, ~$ h1 s
6 U* |8 K- h9 F4 \: l% |7 D2 t
to move-eat-age-die
5 Q# O/ ^( |3 Y/ b) F1 g fd 1
U: x8 d9 A/ n: O$ S4 K set wealth (wealth - metabolism)3 Q6 C3 A$ H: |
set age (age + 1)% y1 {7 K' J, E3 j' W: r
if (age >= life-expectancy)
* g( P6 {% g3 S7 M& b' C [ set-initial-turtle-vars-age ]# g4 G/ {/ h2 u
if (wealth < 0)
, N* ?2 f. t& l" S, c2 c8 T [ set-initial-turtle-vars-wealth ]2 {# a0 H. `# D, p2 V) n: ~
: G. j7 o8 z$ B4 B- V1 J- B! I
end
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to setup-plots# x1 O$ x7 ^0 U1 m% f7 @
set-current-plot "Class Plot"
C/ s1 A' \% }! Y! f6 @5 T+ _ set-plot-y-range 0 num-people
6 |. A# d1 I7 X5 S set-current-plot "Class Histogram". g7 O: C* P: v5 }4 p, d
set-plot-y-range 0 num-people
. k# R3 T" ^0 I# G. \& I3 C5 \end1 G+ y, u! }; K) P. @
- b1 |9 R) N- w
to update-plots
2 w0 G9 |, W; m3 K% B' P% x update-class-plot: S* K$ q# p. R: k& }* v
update-class-histogram: y3 @% M7 h/ b& C) ~& @
update-lorenz-and-gini-plots
4 j, O& {3 [1 u M! i; oend! g8 ^/ @2 G1 @2 W( m
/ D3 t6 T- z( G2 A2 Q! X6 Gto update-class-plot& s6 l# {* v0 _! Y, y8 W4 \- z
set-current-plot "Class Plot"# b$ J" G d$ u; F
set-current-plot-pen "low"6 l; Q, r/ C H5 \6 q
plot count turtles with [color = red]9 p6 F& A7 S6 X+ u
set-current-plot-pen "mid". Q9 ~ T6 F+ {. T r1 n
plot count turtles with [color = yellow]
" g, ~1 j0 L9 @- k1 c Y4 Y set-current-plot-pen "up"
f( q Y1 Z1 l n plot count turtles with [color = green] z5 a( ~/ d" e8 G+ r/ P+ l- y' h: ^
end' C! [9 |5 U1 l" E6 a
6 v" l/ v; j% T: j+ j: J- B* \: O- p8 s5 Vto update-class-histogram5 W# y" _9 H' r: p3 G( E+ U+ Z: a W
set-current-plot "Class Histogram"
/ [" X B" @; H$ `& U, G plot-pen-reset
$ C9 }6 g5 k0 k3 r$ L set-plot-pen-color red
5 E' u0 S6 j# P5 b# d plot count turtles with [color = red]6 ~+ N2 |: e5 S, E' l
set-plot-pen-color yellow" b4 _8 L H2 I5 H& A4 E% W
plot count turtles with [color = yellow], C8 ~) ]7 ?4 A
set-plot-pen-color green
0 R, q1 R, I y; H/ E plot count turtles with [color = green]. k) f) W* M- O/ y" v& U) ~
end
# n( R" W0 ]7 v7 r0 y' E5 y, E D5 ^to update-lorenz-and-gini-plots
, P0 N* l/ X2 \* f0 p7 s/ e3 C7 W set-current-plot "Lorenz Curve"
d6 d( \( w$ j. @" K. R clear-plot
- z0 h6 U1 _- e& F: P
. d5 B/ c" T9 l' }" H set-current-plot-pen "equal"# x* D. m% p# t) O
plot 0
" u3 L. q5 W# T9 w& a plot 100
Q! G6 g' t @6 U
: f9 S3 w, Z y$ m) ~ set-current-plot-pen "lorenz"
1 C% g g S% k* k8 u/ I set-plot-pen-interval 100 / num-people- T o6 q& ] A: M
plot 0
( L) e# W2 O4 w2 c8 ], o% H& q% j% D6 l0 {0 h7 D2 k" O
let sorted-wealths sort [wealth] of turtles* W4 \2 ]& y! O
let total-wealth sum sorted-wealths/ N% u( d1 o$ B4 c' |# y9 B6 [
let wealth-sum-so-far 06 J" _. f: r f
let index 0
* b1 K5 d. N* @; j# Z, g let gini-index-reserve 0
) g) k0 s3 e" r6 e9 A
, v5 q, Q, O0 c y5 W' S- D repeat num-people [* e- _. Q. f- m' F! _0 [ m
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ X* l2 _+ f- N+ M0 M; m plot (wealth-sum-so-far / total-wealth) * 100
$ }0 U3 i; s+ P% F+ U2 F( C; U* R set index (index + 1), G! T8 h& p) O* j) Z
set gini-index-reserve
$ O$ _( ?: {% ?3 d gini-index-reserve +, a+ l( {1 M, n* A' P1 {
(index / num-people) -
5 x, \) x; V' @9 V8 ?# [7 o& | (wealth-sum-so-far / total-wealth)" I& \. a! q. g8 d
]
8 Y4 z X* a8 Z! v1 F5 l+ F* q; v
set-current-plot "Gini-Index v. Time": j7 `: t3 }" z
plot (gini-index-reserve / num-people) / area-of-equality-triangle
1 u9 u6 T- f% ~2 o5 d' \end! X0 I' ?, L7 t( D/ `
to-report area-of-equality-triangle
; J! F W' G- o5 h: x2 d9 N report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
6 R. f9 ^; z* I9 Q3 uend |