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
( u/ I6 U5 \0 y& rglobals8 | k3 D" V- y- h. m
[4 H8 }) v7 X, Y8 {$ t
max-grain
Z; P8 J u0 U: |6 \. o1 q* L5 g" d6 f& o( O: L- e9 J, q
]/ |# r2 Q9 B% Y3 {1 e% G: e6 M
: I- e0 `- P% ~0 r% Q2 ], `
patches-own0 I! d! u, F- B& Z! z
[
$ G. }% q, @6 ]5 R) f I grain-here
/ I1 X4 b. r) i# Z7 i max-grain-here
# R' w4 X5 |8 m1 z v9 Q]6 A0 |# w! ~# W
9 p1 D$ p9 {/ F5 j4 e) fturtles-own
0 @' q8 T4 X- z7 G[$ x' [7 x( B b& ^% J1 l
age 1 o7 ^/ B% |9 p, H# |3 ?' K4 q
wealth : @8 d% S. x& h
life-expectancy
6 B) q: }3 a4 p$ d9 m4 ] metabolism ' v4 g; f- W2 k$ X7 C
vision( m3 I& P& Z5 x7 [7 n$ g+ U7 j2 m8 {
inherited 8 d! k" L% u, j7 k* B( i
]
$ i, B* H+ m' G! C" _& P# {8 [. I( u3 R3 l8 \$ C6 }$ C% j
3 `4 H$ _ _0 N+ N! K4 G3 Jto setup$ P" K+ ?# m4 c- e
ca ^ b+ }$ V+ B7 H; H: q
set max-grain 507 Z! I4 M5 p c( R
setup-patches
7 G! m- t% S7 W& F* ` setup-turtles& ~- a' i, t! z2 T' \/ {! N
setup-plots6 D' m3 j7 U4 ?. r) u
update-plots3 q$ p4 q( B7 c0 G- F# P6 Y) v
end6 f1 C9 F5 b9 B1 K3 |, J
to setup-patches8 N$ O% W- d) E
ask patches" w" O- _5 ~' W; i. j, ^
[ set max-grain-here 0/ @: d& E+ ?3 u p" s6 \
if (random-float 100.0) <= percent-best-land2 _/ D' _9 M& w1 ~
[ set max-grain-here max-grain+ {1 Y5 x$ r0 R9 ^) i
set grain-here max-grain-here ] ]( H! t1 n/ U+ v: @7 P% |
repeat 5
( B2 p% s9 C! m; q. m1 Q [ ask patches with [max-grain-here != 0]- d4 Y- Z7 c) d: P i9 S* |
[ set grain-here max-grain-here ]
* q& {% f! R7 I, }8 d4 h diffuse grain-here 0.5 ]
3 x2 e% N5 v' C8 J+ J" V* K$ y, t repeat 10; h# l+ s; Z0 ^9 l5 f3 @1 ?
[ diffuse grain-here 0.5]
: Y# T+ a5 d3 @- ]$ @ ask patches9 s9 i% d0 ^$ N( t% \1 G
[ set grain-here floor grain-here 7 Q- ]% N1 P1 U" ~3 _! |
set max-grain-here grain-here
! H5 j v( x$ ]6 |' ]& |8 C$ e/ a( W) X recolor-patch ]
9 @/ q: y1 e$ o W1 rend6 t5 P+ L" O |2 C! A& z
to recolor-patch
( X7 S% {8 n7 ]# h' V+ _" P3 H set pcolor scale-color sky grain-here 0 max-grain- r2 _ o9 R4 q5 R" G3 p
end
9 ]; n. K: w" n, G: K a" M) H4 Pto setup-turtles
: C" ^2 u, }! m p& ] set-default-shape turtles "person"5 O" V3 S! ~ |9 u$ f# R# k
crt num-people
7 [0 J* c( v# V \2 I% w1 p8 x [ move-to one-of patches 8 @6 }6 F, _5 T
set size 1.5
* s# j: Y- p% U% \ h2 l set-initial-turtle-vars-age, C, `; d+ H& F6 S; D# H5 V# Y
set-initial-turtle-vars-wealth# v) B2 @' O4 f7 ]# L
set age random life-expectancy ]4 N) X6 `- }7 b
recolor-turtles/ I: B8 D' `/ y( b: }9 r3 u; ^* S0 T: E
end/ ~- D7 l: F3 g& V4 E" p
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to set-initial-turtle-vars-age
4 x( p0 m/ Y: F" P+ b let max-wealth max [wealth] of turtles
9 U$ F$ v* ?# Y: Z$ u
0 B# F: N. _' n# V7 a* M' T ifelse (wealth <= max-wealth / 3)
I5 q& l* h9 K) B5 A [ set color red
. I6 A! j( D* s0 m, U' S5 m set age 0* w, S4 e7 F" ^6 r+ B7 W, j2 _
face one-of neighbors4 ; X$ y3 q( A' m) k! P( K" z. c# O
set life-expectancy life-expectancy-min +, o5 ~# l# { B. j# ` t5 d. G; H1 x1 F
random life-expectancy-max
/ T$ x; `8 Q0 p5 v2 v. E set metabolism random 1 + metabolism-low
& w2 \9 a4 r/ J' ` set wealth metabolism + random 30; g- k" F* R" T) w' e* H# W1 G
set vision 1 + random max-vision
% t9 h' Q! z- X2 q6 H9 z set wealth wealth + Wealth-inherited-low ]
7 X; _! K. b2 } [ ifelse (wealth <= (max-wealth * 2 / 3))
5 Q" h* v9 a& g+ y [ set color yellow
: K. H+ w2 m, b# {$ l; y set age 0
; g* v; O f/ [+ C face one-of neighbors4 $ L* f, O1 c1 `& e) X
set life-expectancy life-expectancy-min +
1 Y* Z$ O- S- ?9 x/ ]2 K4 G" t( o random life-expectancy-max + 1
( m2 m1 s, ?6 R; n# X& g ] set metabolism 1 + random metabolism-mid8 I3 q8 f* e6 z- k4 R H" p" j
set wealth metabolism + random 30
8 b; L& ]$ ~& `* \ L2 ]2 m set vision 3 + random max-vision
( f! N4 x' [5 I- s4 I" j: i! {$ H set wealth wealth + Wealth-inherited-mid]
% O' B& J* { m [ set color green / b1 t0 Q U1 Y7 W# F ?
set age 0
/ {2 p- L* H! J& d face one-of neighbors4
0 d$ E* \" |$ Z set life-expectancy life-expectancy-min +
( `0 d! T! e0 o: {% T random life-expectancy-max + 2/ k$ V, A: m8 ^3 ^, z* ~
set metabolism 2 + random metabolism-up$ R* b4 L# z5 M/ _. V6 _
set wealth metabolism + random 30
5 @ |6 R7 s) d2 f' C. j8 T set vision 3 + random max-vision
! a1 v0 g5 b& I0 G set wealth wealth + Wealth-inherited-up ] ] - Y, ?9 G$ v% x. A7 F2 S0 ]
0 x8 p5 z* G" c9 ?( J6 p
end; E. ?" }# ` r( p2 ?
to set-initial-turtle-vars-wealth
/ ]* V4 S" }3 {. D% A* l4 _9 _ let max-wealth max [wealth] of turtles
8 ~# H! e( v4 g5 s9 M3 M set age 0
+ J/ Q) f; D' t face one-of neighbors4
& }7 Q: f9 @; @, z0 }8 u- ?: k set life-expectancy life-expectancy-min +& v2 ~ D. e7 N# h: [# }7 ], k
random life-expectancy-max
& c; n/ u& D5 ~0 O, c! Y set metabolism 1 + random metabolism-up
8 y, g2 F; l, O$ | set wealth metabolism + random 30 J0 H7 t1 e" p$ R. ]. P6 e
set vision 1 + random max-vision 5 @# c" Q& G, a
end
2 f. C7 ~: d e; A4 d# [1 V( Rto redistribution
0 V- S- f' E- o: F( z0 J- ]let max-wealth max [wealth] of turtles- q) `1 U1 o7 M- o8 R% S
let min-wealth min [wealth] of turtles
9 X5 ^6 Y1 u/ V& eif (wealth <= max-wealth / 3). |# {# w3 u0 H7 V. S% c
[set wealth wealth + Low-income-protection ] {1 C5 u* H' j3 n, O' k i
end
1 d4 R" X g9 x: a. J7 `, ^4 z " n) R V5 F5 S* u" W/ z
to recolor-turtles( e, M, [4 Z( B* C; q* k* v
let max-wealth max [wealth] of turtles
7 } Q5 ~5 o& T9 j$ B3 i; I ask turtles
W$ w; A; @( b+ f V7 x9 [ [ ifelse (wealth <= max-wealth / 3)
0 d) l7 M/ S! u+ c. f% o [ set color red ]
+ A, }! x$ ?- Z8 c( W ]9 M: U" C [ ifelse (wealth <= (max-wealth * 2 / 3))
, i0 k+ a. Q: n& y$ N4 N5 i; P [ set color yellow ]' {( L5 F3 c0 T7 {
[ set color green ] ] ]) @2 W0 r# W; }# [7 K
ask turtles [ifelse show-wealth?
7 m+ F6 j+ m) ?& O! ` [ set label wealth ]3 J7 ?$ ^2 ` h" i! [ g7 s" x
[ set label "" ]]5 N: c3 E' o. C8 T6 m
end
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to go0 p! ~( M) d$ I8 d* }( x; u7 i3 I
ask turtles
" e* D# ~( _) E5 F! e& F [ turn-towards-grain ] . R0 B, ^0 ~: p$ e: @
harvest
* _* }6 }9 l2 ?" f+ F. S ask turtles) x) z% m0 T5 _5 g9 M1 F
[ move-eat-age-die ]1 w0 ]1 h. h" f" B2 n& G* b
recolor-turtles
* j1 x, k( Z3 s$ q0 r+ N4 y8 Z# q if ticks mod grain-growth-interval = 0
6 a$ ?3 j8 w4 a2 S F [ ask patches [ grow-grain ] ]
. z8 L( L$ z9 J- K# I1 z. B % d& s8 F0 e2 D) a/ v
if ticks mod 11 = 04 T5 `% @; j$ Q( C+ D4 U
[ask turtles1 q+ y( }- P: L! [
[ redistribution ]]2 r! a) c- ^6 P0 T
if ticks mod 5 = 0
% }9 D. }! X" ]# N$ }, W& s [ask turtles0 i: g- U/ Q1 V2 v* M8 ^9 l3 P
[ visions ]]. K& C+ s& _) G$ P/ N# K( }
tick! G5 t, ]% a$ k3 @ t0 [8 `. y( r
update-plots
% l6 y* Q& L c: F; gend: ?4 l. D) \' l& d% q' s
to visions
$ m( N7 u0 M- B# w2 I* b set vision vision + 1 ( p# n* q. _! j- z- C5 [1 X
end
1 w+ P- p; }1 p* X7 J
7 L; V# a- L, C, ^9 q/ [: z. W
# x' p* Q% q; C0 R. L0 w
: P$ S% A4 L/ ~+ ~' Z4 U8 l% J" Hto turn-towards-grain
3 m0 n; y) C/ }& G& @" W Q set heading 0
! |, {2 N% U4 @8 r. w let best-direction 0
- q6 ^/ L; j8 C( }4 }0 l let best-amount grain-ahead# H1 n* x6 d- c# o+ n8 y% q: U
set heading 90
6 G! ~. L. v G. l' o if (grain-ahead > best-amount)
; E& v2 {- X& u3 u+ Z- ]! s4 D [ set best-direction 90
9 Z6 S K/ O" G( {! S- `* d set best-amount grain-ahead ]4 m3 A+ s3 v& |3 @( ?( Z
set heading 180& o3 D+ Q$ ?+ C9 j) T, j! ^8 C
if (grain-ahead > best-amount)
( f: n5 a# v5 m3 e% W* x7 d; n [ set best-direction 180( b4 A1 s9 q0 Y E
set best-amount grain-ahead ]& k& t$ s6 g- w! j* W9 y
set heading 2703 A, d$ a! r7 ]2 t) |2 j
if (grain-ahead > best-amount)
( t+ k: k0 ]+ l9 B: H [ set best-direction 270
& P* H+ \: Q; {8 J set best-amount grain-ahead ]
9 @/ _9 p2 H! t6 C set heading best-direction
# q6 A- g& U* n/ S! y1 i3 F/ c. Fend
+ F5 K$ d* v0 M, ?* O+ V
& l3 m1 U& _9 r6 ?8 Z, H# q& {7 K8 u
1 B( {2 r' o" w w1 E4 B h% m3 t* nto-report grain-ahead
2 {, {$ i/ o% U, ~8 B5 w8 I let total 0; p( W/ f3 z; B2 a) W$ {
let how-far 1
2 l/ ?; G9 e( W- K, C repeat vision0 h' Z( _: F+ a0 P' ]5 h
[ set total total + [grain-here] of patch-ahead how-far8 {3 R( O6 h& S) f" }
set how-far how-far + 1 ]
4 |- `- n( {+ t report total
1 _ z2 L+ i. u1 lend
; ]; O' u& A2 c- K7 w! N
6 N4 {9 e: u9 D: Nto grow-grain , g: t$ c5 u4 t9 Z( m
if (grain-here < max-grain-here)
9 {) y6 R/ i/ B) } [ set grain-here grain-here + num-grain-grown
0 J6 Y9 D7 k: ~ g if (grain-here > max-grain-here) 7 W+ {4 i& W2 o+ l; O# ]
[ set grain-here max-grain-here ] f6 K) ^! J% V+ X4 [/ T
recolor-patch ]3 w. `! c5 \1 P' v) _
end4 P# {7 G' y. s( H0 Q; H- \5 c w
to harvest
: z& N4 x6 p0 W! w, b% L) H ask turtles9 q6 N2 e8 N( D, _# R% ]8 ~
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 B1 \( h8 T- G/ q" n9 }
ask turtles/ S% p0 L- C8 K: }3 g6 O4 ]
[ set grain-here 0
@( \8 Y/ o' G2 M; d recolor-patch ]
8 _: @( d4 S, F# d& f
' Z2 @8 y8 _. y" \3 F# e$ @end
$ F; X4 f0 }+ Z( M
6 a- q7 x; D! u7 bto move-eat-age-die 7 S3 M4 H+ x$ c3 q
fd 1
$ ^0 ~8 m' n5 f, p0 ?+ j set wealth (wealth - metabolism)& y5 m( U! U# `
set age (age + 1)
" h0 f% d. v' K4 H- y/ d- W. J0 v if (age >= life-expectancy)0 N& i& u% m/ l/ R
[ set-initial-turtle-vars-age ]
4 g) k+ d0 T) ]6 @9 D: { if (wealth < 0)1 _9 P% g- A. N) R* h1 A7 x+ x
[ set-initial-turtle-vars-wealth ]3 U$ e0 @- t. o7 {; m; v
1 g; M5 Y# e+ M1 i X2 t0 g) x7 y
end, j0 c* }. r. E) f8 X% g
4 X/ `3 v1 ?+ W; v/ [- m5 }
7 T! L4 b8 F' s# `2 ~
to setup-plots( _& K {- \- A( S0 [2 [4 p1 }/ x6 @
set-current-plot "Class Plot"; \5 y V9 p5 z
set-plot-y-range 0 num-people: a8 _ N+ S! z( Y" s) }5 o' ]
set-current-plot "Class Histogram"
2 O8 M% o: U) h j& X2 j) D( R8 q set-plot-y-range 0 num-people
* v2 F5 ]' V! W! eend
P0 d3 g: O, a `( e
3 A7 K% z7 Y' {% [3 Qto update-plots
3 j% I7 @; P% v9 ?. C. T6 L3 H update-class-plot; }9 n. V" \; ?6 _" h2 I& |3 y* h
update-class-histogram; f1 x- C: J7 d" r, }5 p5 A
update-lorenz-and-gini-plots6 o' z4 z8 U; `3 T( J
end6 u3 t# w0 Q/ j
- ` d' c1 o; g5 Q
to update-class-plot5 I5 d* u. c" c8 f5 y
set-current-plot "Class Plot"
/ N0 W! i( [1 w9 N. W8 s$ u set-current-plot-pen "low") K/ T; l$ W- U% P
plot count turtles with [color = red]
+ Z& c; w7 Y: H4 n! J( q" f set-current-plot-pen "mid"6 e( x! Y! I" N7 w! x
plot count turtles with [color = yellow]
. V1 M9 b* m+ }1 Y set-current-plot-pen "up"6 l! \" q) {: _6 X1 m. \0 s
plot count turtles with [color = green] ~" Q( I5 \$ K
end
1 ~4 f L0 Y1 d" v. g
& g5 ]( F& S$ u& g6 G6 ^' @to update-class-histogram2 ~% b5 Y1 e) m+ p" Q! I8 A
set-current-plot "Class Histogram"
$ g3 s+ V. J3 ^% V7 o plot-pen-reset* n% O9 Y. d! }% S1 x( Z4 g- N
set-plot-pen-color red
* G% F6 Z5 w6 H; X; {. C plot count turtles with [color = red]
! T+ u3 l! g, k. O3 l' e set-plot-pen-color yellow
' o* ?" x/ [2 h1 O5 S plot count turtles with [color = yellow]( v' W2 d2 w/ I8 j4 c
set-plot-pen-color green
( A. h! N7 ?$ k- H. m! { plot count turtles with [color = green]4 Q( [% Z# b- H4 [# e6 a' z9 h5 |3 f
end. }# c& F( U+ U
to update-lorenz-and-gini-plots% I: w$ b1 S. n, M5 g
set-current-plot "Lorenz Curve"& l5 ?) F" Z, T* X) i& y9 k
clear-plot
; U) v* |# ]1 Q2 D* A; U2 ?2 |" W, |7 ]& z2 T
set-current-plot-pen "equal"
3 P. q8 {1 N" ^" ~) S plot 0" D7 h& `4 o$ I4 X4 S+ d% q
plot 100& p( p2 N9 ?' B3 G# [
( S% G9 H# Z t. C( M: J set-current-plot-pen "lorenz"
, `' D( z' P% G set-plot-pen-interval 100 / num-people0 {9 `" H7 n( j/ v
plot 0
8 Z7 w& k; @0 y! I, G$ F- ^% M1 P9 u& F- O
let sorted-wealths sort [wealth] of turtles- l$ w' L4 ^& i" d3 Z# J% ?
let total-wealth sum sorted-wealths
6 Z; k" H+ Z) }) ~( B7 q4 a+ d3 U let wealth-sum-so-far 0
' L6 @3 V& x, a$ _* O let index 09 n' y0 ~, R6 @; m3 E# L7 A
let gini-index-reserve 0
- O! Z1 J R* l" M& a
( u" K F6 n% ~3 _+ A0 e repeat num-people [" q7 k* W% b& s8 }
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths): z8 [# S+ Q7 }9 j# W/ R
plot (wealth-sum-so-far / total-wealth) * 100
5 ~# S+ Z' M0 ]6 z) @+ ?$ i set index (index + 1)/ N, e9 K4 z% D; G9 s
set gini-index-reserve
" a3 H1 B$ ^+ `! O gini-index-reserve +$ O5 W# \! ?/ _/ l( ^8 y( l+ I
(index / num-people) -
, u4 U% \ N- h) x% B (wealth-sum-so-far / total-wealth)- ^3 L7 |3 N/ ~$ l7 O7 [
]
$ x( r4 T; n, [) o- u) T) R- k4 j0 Y5 f5 P8 }% O( D. P4 f
set-current-plot "Gini-Index v. Time"
" h- q6 }: B9 k, c# z' ?5 i plot (gini-index-reserve / num-people) / area-of-equality-triangle2 d3 v' A8 c7 ^0 ]; j% D) \" n4 W
end
6 b! v/ Q: D: t# _. {% C- uto-report area-of-equality-triangle# o6 a2 t) h* f
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 l: M# f& B k/ _: u& g% T0 gend |