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
( V9 w% R( }6 f% K! Uglobals
7 {2 H6 D1 _, a! r7 h$ S[
$ o$ `( D, k' V% `& e1 m' L max-grain
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]
9 s, o1 ] u" r, L4 S
" U0 G! `: { v/ ]patches-own
! z2 n6 ]1 r- O2 j0 k3 F8 R[& {3 J' ^* `, H! G# @8 k
grain-here
: @1 x% P9 m6 \6 t& A! N" @4 R9 e max-grain-here * N- J' o* {. w" D
]
) U! K6 q9 A9 Q1 A% M
( {& e0 c, G3 Q; {4 Bturtles-own
7 T8 e8 v: o/ V+ L. L[, w; u: b1 v+ q# Z, b) s z' _# j! b8 A" x
age ( a8 I/ N) A: m& K( W
wealth . ^) e3 w R# Y% r* A
life-expectancy
8 J$ L5 e G9 C5 E# F7 L7 D5 f metabolism
% L# A7 t5 ^+ L" Q+ k. t, U vision' T8 @5 Z7 M9 Y$ A4 r* Z# e; F
inherited ' }3 v r! f, d* _
]8 r: Y2 ]+ Y) K {. ~9 y1 ~' k
, F5 V0 C1 G( @
5 [8 {, f- [' Hto setup( H7 e8 Y# S) q( u
ca' t+ j. A' G& m, c6 ]: s
set max-grain 50# r- r/ x, L1 m+ O, [8 @ q/ g8 X
setup-patches
! O$ A6 g4 g" z' m setup-turtles
2 Y9 {& d/ n0 e! D6 r8 _- I% y setup-plots
1 J" E9 X5 r0 T6 o; g$ s" A update-plots+ C1 S. n; a# R- r( G, ~8 o* P: l
end
, L f/ Z. a: Qto setup-patches4 o9 A& C4 p- q' H3 i
ask patches" M& j0 V2 U1 x ~
[ set max-grain-here 0( |3 ^: {! I+ H; X
if (random-float 100.0) <= percent-best-land4 }4 r' M8 T3 i* c1 Y0 L8 g
[ set max-grain-here max-grain
3 o% ?! N: J; _0 G set grain-here max-grain-here ] ]0 A& Y/ l6 |( X6 D& b
repeat 5" W2 ]- s0 Z/ `2 R
[ ask patches with [max-grain-here != 0]
) y+ N3 A1 p. S% b2 h/ m( ?% [ [ set grain-here max-grain-here ]+ D! j+ P8 T. l: }* [
diffuse grain-here 0.5 ]
/ H4 j3 @' V( C9 M repeat 10
# y; N2 g. }' {) l0 b [ diffuse grain-here 0.5] ! C+ I X, `0 a: ]
ask patches2 e7 v$ L8 g5 p% Q! p: l
[ set grain-here floor grain-here
/ T* a& \$ f9 f) k, l set max-grain-here grain-here
6 |+ ^0 j2 F( d; Z) p7 p9 U recolor-patch ]' V b9 D$ U* Y. |
end
E* ~. ?8 ~ x2 W( _to recolor-patch % f3 W; S z5 A& f6 {
set pcolor scale-color sky grain-here 0 max-grain
9 U0 ]/ r, e& S0 n' C( Wend
- a5 I8 S, N! l! qto setup-turtles& ~7 m8 d$ a& p3 y4 l2 r" [9 r. u: x4 d
set-default-shape turtles "person"
- J0 _9 j. l" H( q crt num-people
3 }2 c- t$ |9 k' T [ move-to one-of patches
7 z2 f7 U- s. A$ n# e" g- \9 N& r" N+ ? set size 1.5
/ s( k, f# F) g# ]& k6 n set-initial-turtle-vars-age
7 n2 f1 M+ O; q1 }4 q set-initial-turtle-vars-wealth
9 {# u2 g& J2 ?1 Z1 n& D* g7 F2 ] set age random life-expectancy ]
" E: ^' P- g% B recolor-turtles- |& F" [8 l) D3 _* F
end
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to set-initial-turtle-vars-age8 B( J4 `" G) W% m8 n x4 U
let max-wealth max [wealth] of turtles) v9 l0 ^. v% g x, [( M
# @8 z4 e% J: I/ q$ P7 F* W
ifelse (wealth <= max-wealth / 3)
* k4 x, N6 D/ r7 O$ h4 Q. Z" u [ set color red 4 o& l, W1 K: r. @9 r, U4 K y
set age 02 I2 h e7 g/ f o( y3 n; p
face one-of neighbors4 . m3 Y, a. C$ r+ d
set life-expectancy life-expectancy-min +2 s- m% j$ w2 }5 g% q
random life-expectancy-max # k) w9 z. L+ E9 K1 D
set metabolism random 1 + metabolism-low) C; m. t: d4 J! n J
set wealth metabolism + random 30* F/ p7 J3 |5 P+ j- {1 T
set vision 1 + random max-vision
1 }& k2 k8 E" [7 L9 B set wealth wealth + Wealth-inherited-low ]7 v1 e) E/ S7 P: v
[ ifelse (wealth <= (max-wealth * 2 / 3))
& j7 W7 d+ V; h# l3 L [ set color yellow
* O, M- ?- N+ Z* X) }7 D7 W; @ set age 0# O9 s/ @' I- A" k1 a
face one-of neighbors4
. w W4 f2 P3 a( ] set life-expectancy life-expectancy-min +
8 V7 K( x; I4 D2 C# a5 C2 B random life-expectancy-max + 1
/ j: F& x I" |3 k+ s set metabolism 1 + random metabolism-mid% P. c( J1 g- _+ e2 u. f' A: ^
set wealth metabolism + random 30
% b5 h) `) ^( r9 S* d set vision 3 + random max-vision
+ w% ]! q! i9 |8 V9 x set wealth wealth + Wealth-inherited-mid]' R6 M2 |3 u6 z7 O# R ]) n
[ set color green 5 _$ h1 l2 C( |; @9 O7 Q% L
set age 0
9 \3 x5 U, f4 h/ [2 D face one-of neighbors4 9 ]( h7 C) D1 I D3 c! G6 g
set life-expectancy life-expectancy-min +
5 C0 X/ E4 `8 F+ A X random life-expectancy-max + 2( i9 T+ J5 e/ C8 c: ~
set metabolism 2 + random metabolism-up
m& S+ }0 b+ G set wealth metabolism + random 30, p3 n0 p& N# r, \2 Q
set vision 3 + random max-vision$ ?0 J$ T! ^! Y1 f
set wealth wealth + Wealth-inherited-up ] ] % j, @& ~: D. c+ e( k3 L3 Y$ Y$ G
, d+ C& k. ]" H5 w
end2 h, _0 R3 S/ l7 t5 V
to set-initial-turtle-vars-wealth
( U9 e7 r9 p/ k- `7 b' o2 T let max-wealth max [wealth] of turtles
3 L8 _9 ?( w4 n6 y" e4 Q1 U set age 0% Z" W3 ?& h8 q# N7 k
face one-of neighbors4
* e# e% @# m4 \6 h7 i3 |2 R$ p set life-expectancy life-expectancy-min +
2 E% T+ p% q" ]+ a R! v( ^* R random life-expectancy-max 0 X% _* \: A; z& I3 k! y
set metabolism 1 + random metabolism-up
; ^. \, }1 `* }+ f' `& Q/ j. z set wealth metabolism + random 30
& ]5 I$ Z7 l7 h5 { set vision 1 + random max-vision
& ?, h( J9 a1 h: @end, U( Q' b( Y1 M x
to redistribution; H' J. d6 M. Z' e! X7 J
let max-wealth max [wealth] of turtles# i. f6 u. S/ J
let min-wealth min [wealth] of turtles
8 L8 w5 U* T7 D$ S8 M# gif (wealth <= max-wealth / 3)
6 a. n8 S# L; c: F! } [set wealth wealth + Low-income-protection ]- h! c: @' D! u
end
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: ^# D0 T. a3 f7 e$ G# c2 Ito recolor-turtles
' |' Q) o2 Q3 R! m2 E7 Y/ X let max-wealth max [wealth] of turtles& G3 ?0 E% W7 @$ H( e
ask turtles! q; Y$ G. ]7 x) z$ q/ J' Y
[ ifelse (wealth <= max-wealth / 3)
3 K2 V! s8 v* p+ q( M [ set color red ]
8 u) o+ D- N. Y; t% C* I" ~ [ ifelse (wealth <= (max-wealth * 2 / 3))) p5 F R: b3 {
[ set color yellow ]
. u/ q7 [; G' b+ T2 k [ set color green ] ] ]
5 N, `* k( @8 i ask turtles [ifelse show-wealth?) X. D% Q7 d; H% v' j5 M0 Z7 G
[ set label wealth ]" { S+ |2 H" ~% E: C
[ set label "" ]]
2 O2 X# E6 {( W8 x5 N5 }0 T$ pend: b s4 z1 {6 A0 q
% H; e* [/ ]: d3 Wto go: W8 K: H }% D4 `' R* a
ask turtles9 ?* p2 F" ^* H( _% r: N9 r
[ turn-towards-grain ]
% h' e8 m1 C; W% ~6 M harvest
& ]/ U" S7 [+ v" _9 e9 N ask turtles2 q' n5 l" n; }% }: |4 s
[ move-eat-age-die ]
+ i; c; Q9 f1 ~2 y7 j& E% h% p recolor-turtles
: k+ z% N0 N( r, q if ticks mod grain-growth-interval = 0
# x: O( S, o5 i* ~; B: L: Q [ ask patches [ grow-grain ] ]
# \/ m8 B6 a8 d3 Q; c1 D 8 M" {. g3 S6 h; V- X" m3 q
if ticks mod 11 = 0& Q; m' ?; b. F& w2 `; B
[ask turtles
' R) [1 h+ I( E' B( \/ I- D [ redistribution ]]5 r) D6 t. h: e! U5 n
if ticks mod 5 = 0
( n. b/ K4 J2 A. S [ask turtles; d) s s+ D6 w! a4 Y
[ visions ]]% y7 C& w+ b* E- U1 ^3 ?- f3 N
tick
- D7 F* l/ s' s2 t7 w7 J update-plots
& n! V0 m( D8 q6 ?end
8 b- A o' p+ @' d5 oto visions
4 a# c/ V8 `3 e1 T set vision vision + 1 9 d$ C. r7 A. S; y7 G% m, e( |) n
end: n3 l. ~. ^: j" d4 S9 i
! n1 ^) t) y5 [" C1 w Y
9 R7 X' O: T2 u/ Z" K" y! b" N
# l0 N8 Z2 E5 @) S; Sto turn-towards-grain $ E+ x& c+ D/ o8 [; V6 @9 p
set heading 0
- t" _2 `' e1 w7 J let best-direction 0
; `+ x; F. _2 D! C4 f4 P$ u) M let best-amount grain-ahead
5 ]0 T! W0 L+ R* ?- | set heading 90
8 @3 P& [* @9 w' _: M if (grain-ahead > best-amount)
7 M' Z8 K1 f& m0 O [ set best-direction 90) d8 r; c( f/ k# c4 S
set best-amount grain-ahead ]
; a+ {; ], s8 ?/ w set heading 180
* ?& D8 ?' [# d% d {$ ^2 s& X# A if (grain-ahead > best-amount)
; }$ V3 k# w. ]7 w% l' r% f [ set best-direction 180% V8 U9 `9 ]0 m" J# Q& l% x5 {0 d
set best-amount grain-ahead ]: t8 o* T. u2 F/ v8 h S4 X4 j
set heading 2702 k5 O/ t% W9 L( G+ X
if (grain-ahead > best-amount)
3 L6 g8 F1 X: S [ set best-direction 270
, \. Q) Q- v& u; p* V set best-amount grain-ahead ]0 q% K- f$ ?# P& f
set heading best-direction% z- |) s d3 v, V( x/ E& v
end
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. T; w# c' J- ]; ?4 i3 w+ g, @to-report grain-ahead
, W7 L$ ?3 E; ^ let total 0
! R1 S8 ?- c' s9 v' ^ let how-far 1
: ^" r8 N8 C4 K* K7 Z repeat vision
/ `6 t8 v" P- ~( H) R5 M& ^: W [ set total total + [grain-here] of patch-ahead how-far Z3 ]- e$ ]) [ E% |# e6 H8 j
set how-far how-far + 1 ]! Y3 Q) k! @2 z J. Z4 O1 r) ^
report total# w- t9 ^8 l4 k! p/ L
end' R0 O4 a- v8 w2 T i! s; W# Z3 o+ S
7 g; b: N$ h, w. N& L
to grow-grain
0 H: v! L" I2 t/ k& o3 |0 s3 {+ ? if (grain-here < max-grain-here)
7 D$ R Z7 A0 t2 I( V [ set grain-here grain-here + num-grain-grown
0 ]7 p" ?- M* \% S: u0 {6 @ if (grain-here > max-grain-here)
. H1 c+ k; c3 D( Z [ set grain-here max-grain-here ]
% k5 ]* u3 v8 ~3 a) A recolor-patch ]
+ m6 X$ {7 }. I6 K' ~8 Hend9 n5 b2 H' l. _ w- j
to harvest
9 b8 d% ]5 u+ ]: L% [ ask turtles2 X2 J$ j% P) M' D M5 [7 u c
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
5 t" N' T2 |! F% ]( B& z ask turtles# n+ e! [, D! c3 C0 z
[ set grain-here 0
2 H$ m# C5 Z/ @! i- C& B; c recolor-patch ]9 F9 J$ h* {# X* G _5 a
: r# p: B" {% B3 x( w* ]" r6 Cend
; R0 [1 O" G1 w1 K
& A) @' u6 K0 n* r b4 N+ Hto move-eat-age-die ; p! v4 p C! v0 r7 k: O. {% E
fd 1
; x+ y. L: A1 R" ]2 y1 _. ]4 o set wealth (wealth - metabolism)
1 P8 n: V/ N+ d: q5 N set age (age + 1)
" B) u$ j1 J2 K$ [ Z2 i0 H if (age >= life-expectancy)
1 b6 p% n# q+ u7 v& W4 Y1 b [ set-initial-turtle-vars-age ]# u! g7 H4 M$ R7 k4 T0 m. M
if (wealth < 0)
( c0 t+ C! r3 _1 d. D [ set-initial-turtle-vars-wealth ]4 V' w! @: |& I& T A( X
% i# G6 @9 u W# A! l: ?5 c5 uend7 T, N3 d4 B# t, [
9 s1 ?; I5 y! p a% l1 a' }! E& _, @. l6 c0 ^
to setup-plots
5 A# g- R) W$ e% H6 W set-current-plot "Class Plot". |$ z5 d; N6 \
set-plot-y-range 0 num-people
# O N1 w- x( d J+ } set-current-plot "Class Histogram"
* W6 z" y5 g9 K( a9 j. p* E0 R+ T set-plot-y-range 0 num-people% q2 Q+ y& g! O. W8 ~/ a. J
end e& ]3 R _/ @; B
, }! J& o8 |6 P; I Q. h }& sto update-plots
6 P# [0 K$ |# e: `4 o update-class-plot; {# P% H9 _2 m+ q) h1 @
update-class-histogram- I$ g: q7 V% V" O$ d. z
update-lorenz-and-gini-plots
' W" H3 z/ p. L/ ~1 ^( R6 C6 n) H$ Uend( L; k( N5 y7 k- ?8 e: z
/ L0 Z$ s0 W2 s4 A, ?5 C
to update-class-plot9 d0 M1 D! p8 k. M. k+ M
set-current-plot "Class Plot"
- ]" s/ K$ N' N set-current-plot-pen "low"
. m, Q' T' J/ S. J# h8 y) o plot count turtles with [color = red]% |0 m7 ]6 W6 @& O4 F8 M+ U6 ^& a, X) g
set-current-plot-pen "mid"
2 f2 j# }( L* K/ w' Z% k( N plot count turtles with [color = yellow]
g! M7 A) O2 x& L- ~ set-current-plot-pen "up"1 \% m' Z7 w' {% Y, L
plot count turtles with [color = green]
8 H$ z$ R/ b# N& ?end. [4 S) T7 j O0 b
( ^- @- U( O8 e% P& hto update-class-histogram. C8 o! g5 z& ?1 t
set-current-plot "Class Histogram"
* W4 S6 `; e, U9 ` ~: c plot-pen-reset
# g/ f) J& `8 E" I7 [+ F set-plot-pen-color red9 k$ S0 W P1 t+ M- ]
plot count turtles with [color = red]
& E- p2 P1 Y M- o- B set-plot-pen-color yellow
$ v+ u0 U( h+ O- T. A plot count turtles with [color = yellow]' I5 s% |- \3 W' T: b9 t1 U
set-plot-pen-color green& F/ g) x s( s6 l
plot count turtles with [color = green]
: J5 T& Z) c B5 ?6 S d6 }7 Uend- s! }7 z G' n! Q2 N+ S" N2 f" X
to update-lorenz-and-gini-plots6 n2 @( O! x8 |; O0 B& Z; n w
set-current-plot "Lorenz Curve"
n! L( }" k2 ]! t: Q! \( O q) w clear-plot2 \9 I# n6 F& f; f. D \1 T
3 L5 w5 {/ W) G$ O, d9 C/ Y8 L5 j; V: l set-current-plot-pen "equal"
1 s7 B& J" ?8 v0 H1 G2 s) o* [ plot 0
# ~& r* q. v7 ?( u" k) F* h plot 100
) ~9 [0 _; L) {) m$ i' {, w* \- ?7 Z0 s5 i7 b
set-current-plot-pen "lorenz"
5 R9 X" f( k- I5 Q& G7 J5 r y; S set-plot-pen-interval 100 / num-people: E' \2 M/ J2 T
plot 0( L3 D) z1 W! \4 V; Q; [6 ]
k% L% I/ \; K/ ]: t) e: r3 R
let sorted-wealths sort [wealth] of turtles
5 v5 C4 s% o( Q7 B+ i9 z let total-wealth sum sorted-wealths) t' c0 a0 N6 S& x# b
let wealth-sum-so-far 0
# n7 x* h0 ~, x9 u+ N! b, E let index 0* r- s3 o, U% ?* u4 d& I
let gini-index-reserve 0 X5 C3 m- l2 r7 }( N
2 x% t4 a1 ]: t
repeat num-people [
4 r; A/ i1 e0 V w- c set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)4 L: f3 W( ]0 n/ O# [
plot (wealth-sum-so-far / total-wealth) * 100# Z$ O# T5 g# C. F7 ~2 U0 }
set index (index + 1)
+ z* K3 P5 O! X8 i. w. D: z. ] set gini-index-reserve" M+ y9 O% B& M% p. @- P; i
gini-index-reserve +
1 Z' q) U- |! F (index / num-people) -
3 i- O9 Q! g/ J4 b0 u0 a+ G (wealth-sum-so-far / total-wealth)9 o; ^3 n4 x" Q5 @
]% E' o& p. j- c. Y. c# `2 o. A
! @# V, @" T) b, z, m set-current-plot "Gini-Index v. Time"9 q" H) m" }, v5 @( u
plot (gini-index-reserve / num-people) / area-of-equality-triangle
& E5 o- q6 o& Mend. w* _8 C2 b5 R
to-report area-of-equality-triangle
) N% C3 Y* H/ m) \$ v report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 {6 ^1 K3 x) U, ?6 Z4 t* I: D
end |