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. w' ^8 ~. v, F5 P- b: t
globals
8 N8 x5 y. D6 M! N; k- b8 b$ F[7 N/ g* T1 ^" g1 q/ F$ x# ~0 |' [
max-grain
3 X8 {# Q5 h4 q; H' j
( M( G" L2 F- B]
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patches-own
. H7 y) G, k/ ~$ i" H" O( y, C+ L[
1 e5 C u- F6 o grain-here
- b* v* `* m' g ]" y: ~7 A' M max-grain-here
N0 L8 R i3 X, n]8 x% }/ z" o+ a$ M0 P+ m$ v
( |- l* `1 F6 Oturtles-own
( \7 F) |3 i2 Y0 Q% B. c[% P* e6 z& B1 C
age 1 |' F9 `2 e* k# w, L# }; M, z
wealth 4 `* m! O) N9 N' I- u
life-expectancy - b% K5 m! U0 I2 K
metabolism
6 m* q; a$ i+ P1 M1 w vision
7 ?$ ]* O) }- o* \ inherited & i! @" t! Q. x) L2 X: R$ S4 y; D
]" G" I/ `+ j1 J6 Q5 ]' c
6 H! `6 p" B' Q( m: x! @& {4 e! r& Z
to setup
+ {& q8 G# w7 H$ [/ I- P- P ca
9 L1 w! F7 p s set max-grain 50
5 y# T# t7 B* P+ j% x( A setup-patches1 E( C* j6 l' ~7 _
setup-turtles
0 l* e+ k$ d- |, D( m setup-plots/ G9 ` k' a8 B w& a
update-plots- q, F- g: J0 K9 H) k+ |
end
: m4 p0 L8 v: \5 j3 ]( t9 P) E7 Lto setup-patches
* J' X7 z0 P! O8 d+ d; G ask patches
' t, s: b* Q5 s$ ]% Z [ set max-grain-here 0
0 q* M8 x& b) \! _# H if (random-float 100.0) <= percent-best-land
4 D) n' b' R, Y" h: h6 R [ set max-grain-here max-grain
/ n0 _0 z- C2 F2 F0 l set grain-here max-grain-here ] ]4 e! X% a; x( U) a1 N8 I+ c
repeat 5% Y- X7 Q0 K7 h: Z4 L" z
[ ask patches with [max-grain-here != 0]
# t) v \. E- m& h [ set grain-here max-grain-here ]+ f9 e: c; v; z. C% f- V, c) S
diffuse grain-here 0.5 ]
+ V' {8 \ P- |. g+ U repeat 10
1 O: e% t$ X6 [# N( s e' q [ diffuse grain-here 0.5]
0 [, P R# }2 {' {9 x2 w ask patches
1 l+ f, R: ]/ ^2 T. P* `0 F [ set grain-here floor grain-here - `& l' D' F- T; c
set max-grain-here grain-here
1 p( g8 i5 Q2 b& u recolor-patch ]) S/ M9 o: Y% F a
end* i: y2 A8 o& |6 X2 O
to recolor-patch
3 Q' p. Z( b% t Z1 s: H3 t; M- v set pcolor scale-color sky grain-here 0 max-grain
) ~& D9 l# H6 d# I' send' v. G6 m; p, i5 {6 _
to setup-turtles A: `9 o2 l' r5 O
set-default-shape turtles "person"
9 g) z& e) a, {- f- `2 t$ ~ crt num-people4 K! k. u! t( A( ]/ c
[ move-to one-of patches
1 u/ P2 p% p2 H& c set size 1.5
1 H' x4 K1 ~- K set-initial-turtle-vars-age
' l( O9 I9 Y7 u8 U8 Z- K- r set-initial-turtle-vars-wealth& a$ i# v. \. J- d' j& K9 |$ t
set age random life-expectancy ]8 l [- W& u2 s/ B
recolor-turtles
- |) Y5 {7 M: v) ?end# }- y6 a ]9 o( S2 u; x
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to set-initial-turtle-vars-age
G! _, \4 l' q, _ Q! z7 T let max-wealth max [wealth] of turtles
0 P: I$ G8 h- k
. Z7 J9 j- R- ~, W9 ] ifelse (wealth <= max-wealth / 3)% x; s- s# `, }& v
[ set color red 5 H7 X' m/ i$ n% Q4 R- J* K: b
set age 0! h* g" S: v6 l8 U, r$ h6 r& b
face one-of neighbors4
; ?' D: M) [4 X2 j# o set life-expectancy life-expectancy-min +
4 @* Z/ C: ]+ `2 c) V8 a) C random life-expectancy-max
% l1 N) t1 B3 x: N8 f set metabolism random 1 + metabolism-low3 ?7 r% p$ N6 w3 G: ^: {
set wealth metabolism + random 30- F2 n) y' x0 o& \
set vision 1 + random max-vision
8 }7 ~! a3 N- L T$ ?& ] set wealth wealth + Wealth-inherited-low ]: f% O# D# H1 c1 [
[ ifelse (wealth <= (max-wealth * 2 / 3))
% o. |% S0 X2 ]; S! H* f9 m [ set color yellow ' _4 r4 @: F1 ]- @7 X& x9 ^
set age 03 t2 J6 K7 r( B: M% K$ W4 F' v, Z
face one-of neighbors4
6 I/ z6 A" w3 X. ?6 P- K; Y set life-expectancy life-expectancy-min +
) T' w* p( e5 R2 [4 h4 T random life-expectancy-max + 1( h. Q3 x! ]9 ~8 F% r
set metabolism 1 + random metabolism-mid9 p0 C. G$ a/ a5 c" K7 G
set wealth metabolism + random 30
8 v, p- _; m! b% n. A* b& } set vision 3 + random max-vision8 z0 o2 Y7 D& c9 u
set wealth wealth + Wealth-inherited-mid]
- T4 }9 f m! l8 s [ set color green # @8 Z- B T* g( z
set age 0
% l4 E: C9 [& c8 v4 O: U1 P4 T face one-of neighbors4 3 O% t) ]7 P% a- h' z
set life-expectancy life-expectancy-min +
4 Q% u* g& Y+ V' v" I" \. Q9 G* u random life-expectancy-max + 2
" O* e2 W3 U& Q& N% b! X3 U+ m( N( M set metabolism 2 + random metabolism-up
7 o, [ T. V) \# c+ Q set wealth metabolism + random 30. o) D0 [8 c& F! r3 ]( \
set vision 3 + random max-vision
& ` a) Q5 T; U2 o' s* U set wealth wealth + Wealth-inherited-up ] ] & d( F% J; \8 C1 Y: R9 x1 z% e/ F
8 ^- o; F; K, C/ l" U* d2 t# ?9 ?
end
" r3 F) m4 K$ X2 D' B5 {to set-initial-turtle-vars-wealth
/ {- s2 }& |, }4 _ let max-wealth max [wealth] of turtles+ _# E9 ~5 j( P0 X5 G. r0 r, T
set age 0
# M6 N4 P0 p5 t7 g- H/ G z. M- b face one-of neighbors4 , O i# V0 u- K
set life-expectancy life-expectancy-min +1 h3 q" H) {( ?0 V$ D, g9 g
random life-expectancy-max 8 N3 M% L; A0 G1 `# b+ L. D
set metabolism 1 + random metabolism-up
' Y6 S o4 j% l! K" R3 h1 d7 b set wealth metabolism + random 308 T9 @5 a* ^3 k9 K" f' k
set vision 1 + random max-vision
+ Q; ~- `$ H0 @& l* i( u( @- b5 Yend
. G' o7 J+ A" m( Xto redistribution& r- v/ y- K: x; T/ P/ g
let max-wealth max [wealth] of turtles
: H: G& A8 h; t7 @+ k# vlet min-wealth min [wealth] of turtles8 P) p/ S" N+ {8 ]
if (wealth <= max-wealth / 3)
" c( N* t. R" C% Z [set wealth wealth + Low-income-protection ]2 t# {1 M# [ F- }
end! b S' W* @3 i% U+ R) ?- i: {3 Q
% H4 T! O) ?/ h3 D
to recolor-turtles9 e, k6 ~5 ]$ n- U/ D; W
let max-wealth max [wealth] of turtles
2 [& S3 {( z, J/ ~ ask turtles
T6 p: j, D0 i4 m6 u7 p [ ifelse (wealth <= max-wealth / 3). t$ Z3 b$ a7 K5 p% z* g0 q1 h
[ set color red ]
: U) q( N, d- L: y; w" w3 t [ ifelse (wealth <= (max-wealth * 2 / 3))* n0 w) b& S5 k$ L& G
[ set color yellow ]
0 |- t0 u0 A/ P0 U+ w/ { [ set color green ] ] ]
! b" n3 M- i) u) }0 c ask turtles [ifelse show-wealth?! o" }' _! }5 g0 b
[ set label wealth ]/ |% E9 o' s" G6 W/ O( k/ h8 h$ u
[ set label "" ]]
$ ^! K. P' D$ C! y# \/ G" V9 `end, `( C1 C+ C0 q/ W
( v0 W8 w. _" {' @( ?* ~* k. Yto go
: @% r. z5 ~! V& V6 E! n ask turtles
( {7 L: |: Q9 a$ L [ turn-towards-grain ]
8 ^4 i4 B- U. \7 c* U harvest! A* `+ n' r& c) k! o
ask turtles
* c& d3 \& Y1 Q; @& m' O [ move-eat-age-die ] v, v! q6 O* ` i3 c. K: u
recolor-turtles
% m1 {" E% j3 b. n6 @" R if ticks mod grain-growth-interval = 0
9 f& }# f/ `- P% W- r; A2 {9 ^ [ ask patches [ grow-grain ] ]( V* R0 x# B1 x, L# }3 S
% ~: _" w0 H7 i2 |* |
if ticks mod 11 = 0
9 p# C: `, X1 v! o [ask turtles
$ b: \# g9 x. o3 o+ Q* `7 f* c [ redistribution ]]5 P* H- W; |3 w) L
if ticks mod 5 = 09 I3 k5 y/ P8 d/ _- q: F
[ask turtles D+ a3 P7 F& m0 h
[ visions ]]: A, }+ V! \* Y
tick
% T: ?3 i- q0 \/ S; D1 B update-plots
$ @7 n7 @) d. m3 g Yend
1 P2 L9 n& ~) Pto visions1 c, G2 k* X1 M9 K6 T
set vision vision + 1 " i. U; q4 k: W
end6 J1 p- o" j4 f. t# M; j7 B) A
4 \1 q6 u B" g( L6 I7 r1 q p9 |3 `1 l8 G5 Q( m
2 s B/ X8 k9 {' P
to turn-towards-grain
1 X% ~; C% j$ m% K0 J" A; E- U) \ set heading 0
, N% H$ k" b% r/ d let best-direction 0) x+ F' ~1 H4 `1 n+ k% C
let best-amount grain-ahead2 L& }+ e9 }6 R' @! |6 \2 x: E
set heading 902 i4 K3 {& j7 m% H9 `; g% f u1 |
if (grain-ahead > best-amount)+ a4 R& b* w2 O7 a& `
[ set best-direction 90
8 Z6 C% [% L K' a- X& s9 s, c# n/ D set best-amount grain-ahead ]7 R5 Q' G# U! G3 u# k/ K
set heading 180
+ |; C' s6 d; h* t( C) E$ ^ q( C if (grain-ahead > best-amount)
2 g# y% O9 P! h$ p5 A [ set best-direction 180: s. S# f6 U: i1 K* t2 Y4 B
set best-amount grain-ahead ]; y! F0 J3 d* n8 }; U
set heading 270& p, N( I$ A |" {* @. o) s2 |
if (grain-ahead > best-amount)
# H3 N, `/ j" T3 {* \ [ set best-direction 270
; }. q6 r& M8 L/ w set best-amount grain-ahead ]2 \5 t2 c% g& l3 ?
set heading best-direction
2 F, p4 t1 h5 [' F5 @/ k0 i' Pend) I3 A! `4 C. r: l3 G M6 L
" E6 E; k l5 U. F0 l& i" X% H" p, ]" t8 D. z+ L4 S8 D% A
to-report grain-ahead ( w5 n/ y7 b9 Z* v4 a# u
let total 0* i5 r# s4 Y _6 G- e
let how-far 17 {6 Y* m4 a( b' y9 J! g( n& j3 g
repeat vision) N" t. D' L0 L5 q0 ]
[ set total total + [grain-here] of patch-ahead how-far- C3 |0 B" ^. g
set how-far how-far + 1 ]
& c% ^. l3 c0 G" P! B report total! f) J! K b) A& T
end! S" v5 `. R$ {' B/ M
( [7 p# k3 f+ S( F) y. b
to grow-grain
/ j2 d7 d! b0 c4 d9 f6 K$ S( I if (grain-here < max-grain-here)& v; {* S) R; _7 w; p
[ set grain-here grain-here + num-grain-grown; a0 f1 k+ d* C8 }7 v' R! f
if (grain-here > max-grain-here)
2 _* G R) c/ q [ set grain-here max-grain-here ]
' Z; Z) i& t1 S recolor-patch ]
0 R* F7 ^: r& W' C, cend( G# ]/ v$ l) ^: P% y/ e. ~2 y
to harvest' T6 `1 T1 l) a. m
ask turtles
9 I0 }5 T' S* e8 X: m" p [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 g. B2 L% c6 P/ r! A# @9 @
ask turtles
1 l) m. o: r6 U2 I8 y6 k; o [ set grain-here 07 S, ]% Z( A! W. Q; d$ r, T; M) M6 }
recolor-patch ]# K* K5 c7 \4 D0 O: j! e$ f
! S7 A9 g; J+ F/ H$ {end. r7 I/ T. Y: I+ W( p
k3 B/ I a$ wto move-eat-age-die
' e$ f! F, m/ X+ U+ X: | fd 1- ?; y9 ~2 o& f' C8 C H1 u9 z
set wealth (wealth - metabolism)5 c8 T. Y( ^4 {/ V# Y Y- z6 |
set age (age + 1)
- F1 U- J+ K9 y# E if (age >= life-expectancy)
& x% e K) h4 r/ G [ set-initial-turtle-vars-age ]: ]0 O! T3 P) I
if (wealth < 0)8 B% Y# s- ]9 w9 B, Q7 [ R; j' e
[ set-initial-turtle-vars-wealth ]
: j- a+ Y2 i6 h, L
0 i8 X# Y7 K, P: O$ _end8 ~5 c+ u0 t! D2 L0 C: w' L, t3 W: y% b
! S2 Y: X( T3 _, s1 G5 z2 W% J
J9 B! V9 _, H+ hto setup-plots( F$ E+ }) q1 h. f
set-current-plot "Class Plot"5 ]; o/ L9 M( I1 X+ G
set-plot-y-range 0 num-people( ]1 n2 r! }2 ~2 H y2 C3 \
set-current-plot "Class Histogram"" l8 x& u. P3 q1 A
set-plot-y-range 0 num-people
8 L l! u2 W6 k, t4 ]end
@8 [1 L9 n; z+ n7 o/ q& w4 s
2 A8 R5 M/ W% j) B$ T' zto update-plots# _! i9 ?4 w! p( N7 o$ Q* Z
update-class-plot
$ Z: @$ @" Y% K' E" Y) g3 y1 H update-class-histogram
- Z3 e/ V% J: v update-lorenz-and-gini-plots
* F- r! x, j7 `9 b& V! K3 Vend6 ~! Z; w. g% U( q" p# n
' l+ p, q3 i1 }3 [9 z% ]# p0 Oto update-class-plot) A3 ~, G5 k+ v
set-current-plot "Class Plot"4 B# M r9 ^/ J% V& q
set-current-plot-pen "low"
+ Z k) z! [6 y" }! | plot count turtles with [color = red]; A5 P9 u8 W5 A5 c7 d& ]2 Y X8 W
set-current-plot-pen "mid". M1 N$ L0 J4 u( O8 B8 t2 B; d
plot count turtles with [color = yellow]1 y( S5 _& ~6 y, L+ h" u$ r
set-current-plot-pen "up"
6 M# H) @6 S9 }8 Q9 }4 K plot count turtles with [color = green]: N( [" U2 N" l$ O
end
* f- F) \: H. @# ^7 Q4 t% D
" W* H" b* W( A5 q" cto update-class-histogram
3 z7 F3 L4 t/ N' M6 r9 d; _3 G set-current-plot "Class Histogram"
+ r- ~5 I) E7 e/ o4 X! ? plot-pen-reset' B v( P0 ^4 G+ V8 {: s/ P' B5 L
set-plot-pen-color red+ X' W0 Y* f8 P( ]- k/ |: I6 R
plot count turtles with [color = red]
& S4 P V2 r0 C( W1 u set-plot-pen-color yellow
5 b! A5 Q3 a+ ~7 Q plot count turtles with [color = yellow]! U& M) W; R ~" A2 ?
set-plot-pen-color green
) L0 `9 J; |" z9 l plot count turtles with [color = green]" ~4 o/ v5 Y, a
end# _; H* l2 w9 w+ U6 U3 K) l
to update-lorenz-and-gini-plots
h6 D9 a5 N; {) f set-current-plot "Lorenz Curve"
( C9 A) j6 o- e0 S/ x clear-plot
) [, s, P8 v `) V0 _; ~
, S9 s! Q) a2 n* w; d set-current-plot-pen "equal"
) k# f$ x0 U! W% x plot 0- `0 a7 |! r7 Y& f \
plot 100
/ {8 ^% t! H0 e! Y* N3 M7 ~5 p3 Q# c9 R* f% `' \' F/ W/ L0 X
set-current-plot-pen "lorenz"
]1 {6 p$ |$ W set-plot-pen-interval 100 / num-people0 _, T7 u3 ?" J5 H
plot 0$ n- V0 m$ y3 R8 K
0 L% h0 }1 ~6 C1 T4 b let sorted-wealths sort [wealth] of turtles R# i: ?; `' U( M" l4 X0 u
let total-wealth sum sorted-wealths m O+ N' l% t9 n* E! L3 u5 z
let wealth-sum-so-far 0
- a' X3 X, {8 P R5 P5 q let index 0- `+ d' `6 b% N" j
let gini-index-reserve 03 p* A- ^4 W" [
8 R0 z6 v) S! u0 ]/ t) ^5 Z
repeat num-people [' @) x, J" g2 m& J1 l
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- M) n: k; U6 q$ E+ M$ C plot (wealth-sum-so-far / total-wealth) * 100) P6 ~! R% M. k- I9 x4 E
set index (index + 1)
! e) s/ j! Q( I set gini-index-reserve
+ z: Z7 P8 i6 Q8 V4 r& K gini-index-reserve +
) P3 y9 I9 Z/ C" j1 {) M7 Z5 u) h. n (index / num-people) -
) L1 s4 L5 j+ x; ? (wealth-sum-so-far / total-wealth)
$ K) m) b5 u$ V- I! q% m* X ]
0 Z1 k1 p/ y- W" `8 d+ e4 Y2 T9 N1 v# W r7 V
set-current-plot "Gini-Index v. Time"
# a( ]6 a2 R6 |" ^ plot (gini-index-reserve / num-people) / area-of-equality-triangle4 S& j K# C5 S9 G9 M* Y- y5 T
end& O9 Y# v7 \+ E6 l* W- N" e' M
to-report area-of-equality-triangle
" K a' d* [- D1 Z1 M { report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
; Q& P" z3 J/ t* c: l f/ R. i+ eend |