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& b# k% q4 U0 X& K" Z
globals% K N- p+ B H% x
[
! ~2 Z5 I$ J/ }$ r* w+ k+ M! d max-grain
6 L2 H; \9 L6 n. j8 y; m8 @ V* d
]# p6 i, S4 R( B1 y$ W
' n8 |* @ H, ~. |6 Y. b: X Q8 f
patches-own
( w4 h, y" v w- @1 s4 T0 V[5 } g0 t) J) d5 W* q& n4 g) Y
grain-here
. E5 y H: ?5 o; c max-grain-here 7 c2 ]7 C/ w# F N
]
) Y S; a0 J& F& p. x8 w; P+ v: s& i1 }' c5 x- D. K% n
turtles-own
& t) y0 F; C2 E5 Q' R9 @- z$ n4 E[
- r( B# K/ H) M* ?5 y age
& X5 S% t* ^ K4 n# [2 N2 F# r wealth ! w$ ]! h1 m" w
life-expectancy
1 I+ v+ w7 ]1 t4 n& F6 ` metabolism $ N" F. ?( _' z- m
vision; S0 g- Z7 i6 @9 b) M
inherited
$ s8 X0 ?' K" O% C' F! N$ R]
/ v* p3 c( |8 h& `# h% c8 L" {" o* J" k/ k, x5 {" a
+ }1 ], {' ]& r" D M: J) tto setup
+ S: \& P# B+ q1 r% O- y; w4 H$ Z* M ca: V& N2 I& `: G( G* J" N* D( e
set max-grain 50
7 E2 c( @" ?( u/ | setup-patches
/ F, N7 h E' u2 d+ l" ]* U setup-turtles. k0 H3 R- U) U* ?) J' x
setup-plots
- S) S" [6 W( v3 s, z. S' R update-plots
$ r3 T/ y8 b* ]( I& F3 O4 Eend
3 t1 U- V4 k: g, e! k2 u8 Qto setup-patches$ p$ e' G5 h- m# C# ~3 D
ask patches
: A: z8 n9 \; \% l [ set max-grain-here 0- z$ w+ d( X$ |2 v/ x7 P; B
if (random-float 100.0) <= percent-best-land; J4 B: g' o/ g2 z& z5 [7 {8 U$ p! J
[ set max-grain-here max-grain
% C: `4 V4 `& {8 Q6 T set grain-here max-grain-here ] ]1 o: p! T( k* x/ U) u& b1 _
repeat 5+ j8 Y9 M0 B* V( d# Y! X9 y
[ ask patches with [max-grain-here != 0]8 L$ K) n0 [9 x4 J8 L! i8 l R# [
[ set grain-here max-grain-here ]. b8 ~& c/ H z3 ^! Y% X' d/ @
diffuse grain-here 0.5 ]6 K9 k; M( O1 Y$ \' G! o5 n2 ? Q3 }
repeat 103 S! K7 r0 o9 F* W. L% I7 m
[ diffuse grain-here 0.5] $ U' f& k4 k6 Y
ask patches
; W3 w" b7 ~* e* u& |/ c) S- { [ set grain-here floor grain-here
C" e: ~2 X9 I8 d set max-grain-here grain-here
: T& V- N4 z* x recolor-patch ]6 M8 ?8 W/ u5 M4 Y V+ h2 M8 Q
end
) e& [8 F* k: `, V. L: [to recolor-patch / M6 N% m8 k; R5 ^7 |
set pcolor scale-color sky grain-here 0 max-grain
7 ]6 Z! @. x4 }1 ]7 |end# j- x4 Z8 @) |/ v
to setup-turtles
: [. T! S8 {8 F/ S# V# u: a- [. v set-default-shape turtles "person"
2 N9 ^6 f. G ?* }( }5 `; u crt num-people" { D* \) l/ h/ @+ x
[ move-to one-of patches
& k% F! Y) y8 F set size 1.5 7 T0 }4 S. ]0 G0 ]) H
set-initial-turtle-vars-age" X6 W5 ^$ B5 L) ~
set-initial-turtle-vars-wealth+ _; w: d8 @: V1 u8 D
set age random life-expectancy ]/ V. e5 Q3 E+ ~' G( N
recolor-turtles' \( N! \4 m& s5 B- b
end
0 q( r; D0 m5 B. H
8 J4 e" U2 m k7 S4 M* [% gto set-initial-turtle-vars-age
( \& ^' U9 v, C' _! a9 n0 g: M! N let max-wealth max [wealth] of turtles
; _& C) ^) X, ~7 Z
) {5 I: s8 N1 z7 {( x, z ifelse (wealth <= max-wealth / 3)% L' w' Q9 G$ c
[ set color red
8 w( M: t! R2 t4 l3 ~& S m- `; j set age 0
) E. {: a/ P# q5 w) f' U% H face one-of neighbors4 3 B6 @" V% }$ n% k* T
set life-expectancy life-expectancy-min +
: d$ K4 e& u6 P! F+ o) r random life-expectancy-max
6 k" B& J, { G- T, |6 ~ set metabolism random 1 + metabolism-low
" {9 B2 y$ Z4 ^) B set wealth metabolism + random 30
/ C9 k# ~( n5 r! }/ A% y& u% n* G set vision 1 + random max-vision
! c! y: `; V. k$ F7 N5 w* J' W7 ^ set wealth wealth + Wealth-inherited-low ]
6 C" ~, Y& C7 p [ ifelse (wealth <= (max-wealth * 2 / 3))
( R! j( @' }% S, L [ set color yellow
. A% M, k4 {- y% p set age 0% T- y: T1 P( c8 I2 {5 [/ o% ~) }8 g
face one-of neighbors4 / |' a% A ~) _
set life-expectancy life-expectancy-min +8 ~+ b8 \. D3 A G/ ^0 D+ X
random life-expectancy-max + 1: u8 Y1 Z# X! d6 D
set metabolism 1 + random metabolism-mid
0 j% {5 \- `8 ^+ w1 C set wealth metabolism + random 30
8 ?9 x$ C7 n8 e1 h set vision 3 + random max-vision
4 ], J4 m* T: I$ w2 B: n set wealth wealth + Wealth-inherited-mid]
- Z) f, D' }: v9 V9 o! l7 S3 J [ set color green 3 R5 M9 K. q0 t8 v ?$ J) T
set age 0
Z \1 F; D9 X: X" X face one-of neighbors4
7 M8 p% B M( e+ K$ z set life-expectancy life-expectancy-min +5 d. H$ ^+ w7 V
random life-expectancy-max + 2$ B8 q' [& C: r
set metabolism 2 + random metabolism-up
* B& N, `9 F; X' h1 A" @, g) S5 P set wealth metabolism + random 30
+ _- B7 V) z0 R7 @/ d2 | set vision 3 + random max-vision6 d) }1 q' j1 b* O& s! Z) q
set wealth wealth + Wealth-inherited-up ] ] ' b8 Q2 {" ?# v3 L% W2 V6 M
H: c: O- \$ y/ j; z7 ?end
{) [& d7 m7 a4 U7 J% \to set-initial-turtle-vars-wealth+ L7 R c' Z3 P1 T
let max-wealth max [wealth] of turtles
+ I/ M* W' W& k set age 00 x( |; c0 x. G. Y
face one-of neighbors4 y* p8 {' N0 i; q& ^) N
set life-expectancy life-expectancy-min +
- {/ U1 ]2 d* x& l random life-expectancy-max - C/ P. \0 e/ p# s2 d+ T* _
set metabolism 1 + random metabolism-up
1 g% z& p! ^! `0 X% c. J- q set wealth metabolism + random 30
- [2 v \& O: }8 K) o' Z set vision 1 + random max-vision / k% |# @2 P' _2 X( Y3 x9 j
end: ~6 O P3 z/ T& L9 e* W3 p$ \# h
to redistribution
0 `8 j# d7 S! ^7 I) n2 J* Zlet max-wealth max [wealth] of turtles
+ p( m3 L2 b" A4 ]$ ~let min-wealth min [wealth] of turtles/ N9 J# e2 ^& G2 ^& T
if (wealth <= max-wealth / 3)
1 G+ B4 n* a0 K$ Y: _ [set wealth wealth + Low-income-protection ]) M |6 t. P+ g' v9 _1 x: w
end
$ U4 B% }- O! _* ^ # Z- j: o/ E4 r+ ~2 c, R
to recolor-turtles
G$ X1 Q7 p& @) w/ a let max-wealth max [wealth] of turtles
2 o5 f$ M5 T0 J* x- E7 |* c% e ask turtles
0 ?, i& Q; E) p [ ifelse (wealth <= max-wealth / 3)' f, W! ~ J) P
[ set color red ]. q6 F: A" B+ l
[ ifelse (wealth <= (max-wealth * 2 / 3))/ v5 i- F1 Z4 p* Q2 \: w1 _
[ set color yellow ]
9 f a7 P. b: e+ D; J8 B [ set color green ] ] ]
$ a6 A% Y: ?8 w3 I: K. g, a ask turtles [ifelse show-wealth?$ s, n* c8 T7 q: m/ A, `. B
[ set label wealth ]; |& K! r, r+ z
[ set label "" ]]- L2 y% s w* R! m k* u3 u/ w1 H
end
6 g1 b; w$ J3 i
9 G$ {* y) c6 r9 J+ H! Eto go
6 s. q n5 F- P( J6 I4 g1 g ask turtles
5 w' q* c& V+ k6 e: G [ turn-towards-grain ] & o7 E" v! P5 w K. b3 N3 S
harvest0 e4 s7 W. a1 c, X, S- F
ask turtles+ u; o% |' R. f! J
[ move-eat-age-die ]
! l5 M8 r' W5 ]7 m5 G! |1 [2 e7 r recolor-turtles1 p i0 }# ?! z/ W1 E: B
if ticks mod grain-growth-interval = 08 W/ x4 b; o$ ?& c% U
[ ask patches [ grow-grain ] ] f6 R8 i3 V4 R( `6 s: H$ Q( g4 G3 W8 c
- f% h% f( s, z: t! y% h if ticks mod 11 = 0( C" R# F; I; e, Q- s
[ask turtles; R/ V' E4 F7 y- G! E
[ redistribution ]]/ C G6 p7 [& r3 V R/ f* y, V; f
if ticks mod 5 = 0
. W/ V( t9 O5 n' W G% b [ask turtles' l# p! I; v% A
[ visions ]]
. ?4 [; n$ o* Y" J% L% ]# ?: ] tick
+ n/ `! u0 W% f, t% \: {. u1 [ update-plots
0 n. X, M4 I: x( k Rend
, \, S7 G6 O8 V% Ito visions
/ g& f. S, {$ K0 e set vision vision + 1
2 o- t9 [# D* m, yend0 ~/ F* ]2 m0 G2 M) W
7 X; \+ Z; T. G9 g
3 t, W m5 U" C& r( ]) Y3 m
3 Y$ ]6 U$ U r" U! }
to turn-towards-grain " Z5 k0 g. \1 R) E% h
set heading 0$ L. o! k' j6 U- v+ Y
let best-direction 08 z4 Y0 g7 Q$ }) Z
let best-amount grain-ahead
# v3 m9 [7 ?, \4 ^! G. _1 F set heading 90' K4 T) y# x. v# S9 C& ~9 P
if (grain-ahead > best-amount)* t" L" X) y- O; q$ ~$ q
[ set best-direction 90& ~1 i! ]8 ]) y- E+ }* ]$ X7 v
set best-amount grain-ahead ]
, T- i- h- ~2 @7 d6 d set heading 180
0 Y5 H0 P8 `7 s. M, s$ X- A if (grain-ahead > best-amount)
, G7 _7 P2 h3 H- ~+ w [ set best-direction 180
" e6 u) m# t, c: j; i set best-amount grain-ahead ]
) b, v j) I! _, F set heading 270/ j4 S# W$ H' `4 ]6 k# F
if (grain-ahead > best-amount)( j9 `; e* y1 c6 k Y
[ set best-direction 270
1 C/ N& t5 A7 {$ g) Z/ i set best-amount grain-ahead ]- _3 a& N6 G( R9 y# p& s7 y- o
set heading best-direction. H5 S+ S+ Q# G8 M
end0 [* e( G7 o8 y" M: H- T" y% r w
; x) V2 ], L& ^1 C/ y. q8 o3 B, T* [4 L& d
to-report grain-ahead
1 l3 p% c. F1 z0 a2 b let total 06 h5 \# _4 o; |4 |$ M
let how-far 1: z& g; j; q$ S4 b
repeat vision
" _% z3 t0 Z- V- N [ set total total + [grain-here] of patch-ahead how-far
, \7 y4 h6 i$ P" T" Y set how-far how-far + 1 ]
- m, _/ x! `) n# q3 X report total
- v1 ^& ]% u$ _; j. @end
6 F: C8 }- T# l/ G- d" o
/ H$ Z. Y0 _/ P! R0 U0 o9 q7 ]1 hto grow-grain ' Y) m# Q% u! Y. d
if (grain-here < max-grain-here)
/ E" M" C5 o( ^9 p h3 |5 T- u1 w [ set grain-here grain-here + num-grain-grown
! [: b: G/ r- g7 p( C if (grain-here > max-grain-here)
1 W% r' H6 s2 _1 ~; A; |5 D* J [ set grain-here max-grain-here ]; e& j1 r+ b( g/ K% h9 T
recolor-patch ]
4 |' z& l- D; h+ t) \' F8 G! Y% @0 tend
% J1 W$ [. C6 e9 j. E5 O* gto harvest0 W# h" L. C- D7 m! x' @
ask turtles
, q( p% P. G/ j$ M [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ | O% S N- `) G ask turtles
3 ~5 [/ Z, J/ g, P [ set grain-here 0( F/ i* j2 x/ G8 U2 f1 Q/ M
recolor-patch ]
8 [* Y; u$ g. R- q " u! z* M8 V0 o9 Y6 j
end) F7 U7 w! D5 u# S( a
+ O& b+ j" b9 {8 G7 v5 q
to move-eat-age-die ; c+ T- M& W: T: Q
fd 1; b y* ]' |. N+ L# D6 Y3 s
set wealth (wealth - metabolism)$ s: r! o; s. Q7 b
set age (age + 1)
5 G/ L* c% B$ {4 z( r( D9 i/ a if (age >= life-expectancy)2 B# S8 B5 E" `! q+ I
[ set-initial-turtle-vars-age ]
; `/ P0 K. {7 _* N. y+ K* s if (wealth < 0)# Q. U& i; W7 A( J' n9 T4 M
[ set-initial-turtle-vars-wealth ]
) m6 {- e: c) |5 b
9 n3 J" A; J7 b3 q( Y! rend
0 d( z$ F ]6 J# B+ f& A2 R. ]# ^- e6 Y0 y v
4 M: ?$ @) L$ Wto setup-plots5 e% Q& L) ^; A: P* r0 L
set-current-plot "Class Plot"
9 r7 C# u7 x2 H% K# J( m set-plot-y-range 0 num-people7 g& }9 ~: s5 ?. F4 E
set-current-plot "Class Histogram"
. d. t# g" N; T M) o set-plot-y-range 0 num-people. W. k0 Z4 x' O; w, B
end6 A9 n# n( m2 X- q* Y; [. ]' `
: F9 s( G% |" y. Y, R3 H/ Wto update-plots" y1 b3 y- a- N R( N/ E7 k
update-class-plot
& H) D. w3 M9 _0 C$ T update-class-histogram
$ t0 l! P. t4 B" R2 ^ update-lorenz-and-gini-plots9 X6 {' Z3 d) u9 x* w, B# c
end
6 }& K; W' t% A# m) t U% O! J( v3 p- [- ^! M
to update-class-plot" ~6 x$ K/ n3 h) t/ C+ |
set-current-plot "Class Plot". R9 a% f& e7 o! }/ a/ ^
set-current-plot-pen "low"( w& D- i$ Q6 U# f( Y
plot count turtles with [color = red]) c3 ]: ]0 \1 w' e7 y9 Y0 v. E
set-current-plot-pen "mid"
9 c1 Y% e* ]/ i/ S plot count turtles with [color = yellow]
# x6 D0 M9 d% _( F: w: c" w set-current-plot-pen "up"5 x, M* ~, u. A! |& _8 L: f
plot count turtles with [color = green]
3 J ^" L. J+ y' c% p. T2 d/ j& U9 N. ~end3 R4 i! \6 d5 c2 P( _
8 b. _& J. e7 i$ P# Oto update-class-histogram' d( b' I) p+ [
set-current-plot "Class Histogram"! C% I E, Z, C) k" z4 s# i
plot-pen-reset6 J3 r% @ P8 w: z
set-plot-pen-color red
f$ { J/ h [2 A8 O! s plot count turtles with [color = red]' v# Q" e1 z, C/ v* b0 V
set-plot-pen-color yellow
% A, Q: h# U1 [& P! G plot count turtles with [color = yellow]( U& m5 l% C' \ {! u! v7 ^
set-plot-pen-color green, r8 T& t; k. q4 e
plot count turtles with [color = green], g' B7 p: N( M+ A( ?0 ?1 z9 H3 u* g
end
4 E2 L N9 X- u. ~7 }to update-lorenz-and-gini-plots+ Z- ^) s" E) z6 ~3 V5 \2 t
set-current-plot "Lorenz Curve"
$ Z' j+ P7 u2 W4 j3 J0 n# x clear-plot5 Y: e# b( Y* v5 v# `; k; s/ I. w
# I7 ]) v; z& k. ~7 [2 j set-current-plot-pen "equal"
+ z/ M/ e; o, g" j H! { plot 0
- G% V8 }6 E- q; B& C plot 100$ V& m) ]' F7 m6 Z* M
0 k* t X, r% U
set-current-plot-pen "lorenz"9 V N- E# n: j
set-plot-pen-interval 100 / num-people0 `2 L7 I. [4 `8 v) T0 n( N) a
plot 0 W* T% h2 {4 [) R" z0 J
5 c9 Y0 b! G: ] ?7 ?
let sorted-wealths sort [wealth] of turtles. j! a3 k6 v. H& A n) U1 T; }
let total-wealth sum sorted-wealths+ r4 R7 ^4 L4 w+ m. T
let wealth-sum-so-far 0
9 W/ _& A$ _4 K+ V let index 0( z5 g' `3 P$ C1 B1 f
let gini-index-reserve 0
; V; |4 X% z; N. U! M0 A
3 w7 z% P) G' |* \" j repeat num-people [6 \7 i3 ]# F/ c4 Y
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)3 [9 m( w/ S) \
plot (wealth-sum-so-far / total-wealth) * 100
7 O( [9 l7 o$ p& D, ~4 l) L! r5 f) U set index (index + 1)) [; R5 R; I7 G
set gini-index-reserve
9 e0 w9 G) _& y gini-index-reserve +
. q+ M1 M: F; A% V (index / num-people) -
% ^$ P6 l, t8 x& e% y* K (wealth-sum-so-far / total-wealth)
" f' |& y. M) J" \. A ]
$ Z% `4 w: y1 |2 A6 }3 F. M. P+ D0 I/ Z. P( s9 _
set-current-plot "Gini-Index v. Time"
% I( ~1 }3 |5 X c; l- U0 h plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 K9 M( ~* O$ y& h" Tend; b$ Z C0 ?0 Q2 ]2 V$ w
to-report area-of-equality-triangle
; e5 b2 d4 g0 [6 X2 d9 V report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( E- K; z5 u; T! ]end |