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& F- G8 O5 S8 n! m& [
globals
0 J' [+ m1 N# d- o/ V4 s _$ [[& Y' S( N0 ?7 ^) `, Q9 P, `( K* t
max-grain * {! \. i& H" z p1 l7 @6 F# Q
6 {2 k; N/ v0 R2 d. z: ]]
0 @6 \2 Y' ^4 A9 m) P: _& ` o. R3 J! _
patches-own
1 D) F% a5 Y A# y7 p[9 F* |$ [6 c" Z m: n' ~$ H3 n2 X
grain-here n5 @1 H0 [/ R" V9 T6 N
max-grain-here ( D* _ ~. n2 x! z: p5 l
], K X0 X# x' x6 d9 l
+ S4 Y+ K9 }' o( {; s0 f( K* {
turtles-own
2 n1 v7 Z; {8 Q/ j# w! X- i \ ~[
8 C. f/ a3 I d7 d n3 | age ! ]; }3 z/ H# V& d. @8 o
wealth " F3 i# b+ p7 D/ r; F
life-expectancy , J" g9 O. v- I! H
metabolism
?. X# H% O$ Q8 h vision: I0 H8 v, q+ z# }
inherited $ `# ~9 a$ _1 R* ^
]
& a1 b1 f6 Q! I0 [, N+ L
* m8 C4 ~5 |+ i V9 K* \
0 j1 V; H! }' {# O% k2 R' Ato setup
5 Z4 b9 S' j9 ~, M ca1 u, g5 y' l+ ~4 K/ u
set max-grain 50) P5 z% O' f3 [
setup-patches
9 T! p2 c/ j4 A# W8 p' ~5 i setup-turtles8 ~/ R" S( J! k% U
setup-plots
& b2 H# D! T; V, M7 L& N update-plots$ a, I( O0 C8 L6 ?2 f8 e
end8 o3 }, z: p' E0 N
to setup-patches
- G, c* I: E9 m5 X/ J2 H ask patches
3 ~/ W* E: W' H/ m4 l! t# ^9 i [ set max-grain-here 0! l+ J4 r- r! O8 w* M' g
if (random-float 100.0) <= percent-best-land: @2 }' `- C8 w; r& ^
[ set max-grain-here max-grain1 N) \4 @1 x+ {$ s
set grain-here max-grain-here ] ]) Y9 m3 l4 B% i$ O
repeat 5
2 J2 Z+ C! n6 j3 O [ ask patches with [max-grain-here != 0]
6 `4 i. c5 V( A0 O T [ set grain-here max-grain-here ]
5 @3 t) u( G3 V, k2 s3 L5 s diffuse grain-here 0.5 ]. p: t9 }2 T" w. P$ h2 H5 j
repeat 10! Y5 ?+ v3 A2 ]# |$ u$ n
[ diffuse grain-here 0.5] % ] t" ]8 M2 t; d" @* u
ask patches* }( U8 x6 q% K3 L6 w/ ^! ?* x" ]
[ set grain-here floor grain-here 0 L2 b* z) Y. _
set max-grain-here grain-here
% B, a% E3 D6 B/ L' L' p recolor-patch ]1 `% z" K$ @9 ~+ l% n9 ~3 e1 }
end
0 m7 S3 q. M& l% Tto recolor-patch + r$ q F- i) W5 l- Y2 d& z9 y
set pcolor scale-color sky grain-here 0 max-grain+ h, P h( H7 W7 c4 ?6 U. t5 l$ Q
end/ }0 F* E2 } T- w8 S, `
to setup-turtles' j ]4 v0 [3 C; w
set-default-shape turtles "person"
+ f/ j; E0 y$ e6 v; g7 u& M crt num-people
7 F/ |. {+ G S" p7 X) K( J [ move-to one-of patches
+ H4 {) O% n1 ^7 f8 Q3 K7 w7 o* A set size 1.5 3 Q% o. ]+ a6 R3 v6 p3 b* F2 E
set-initial-turtle-vars-age0 r7 g: o; `2 \8 ] B+ w( y
set-initial-turtle-vars-wealth
: T2 {0 j- e \* A6 u& n8 Q, }/ I6 ] set age random life-expectancy ]2 W, x! @5 a8 s
recolor-turtles1 B. i% d2 c% T- j7 l/ R( h9 p/ b
end8 _+ h& E; i8 D# R+ L5 a$ F
1 [, c3 r# J D. sto set-initial-turtle-vars-age
' W9 M/ h) o {, U let max-wealth max [wealth] of turtles- f9 J1 k- e& |5 |4 T
9 B: T# e* G! B, r" k) z& x ifelse (wealth <= max-wealth / 3)0 Y7 O: \$ ^) f# ~" m1 y8 ^
[ set color red , V3 k4 o( R2 C6 S9 h7 ]
set age 0
" ~# K; v' _- @* f face one-of neighbors4
7 ?! \. u* }+ @ \% N) R set life-expectancy life-expectancy-min +
5 U3 c7 P$ k) z$ } random life-expectancy-max
) h, Y1 _$ ]/ F, L set metabolism random 1 + metabolism-low
7 w) _. u3 E1 U0 w C" C set wealth metabolism + random 309 T" w- u$ g3 |+ b
set vision 1 + random max-vision
+ R$ x6 P; m; W# _ set wealth wealth + Wealth-inherited-low ]
3 O5 g$ Q0 m7 D& n$ l) X! ~ [ ifelse (wealth <= (max-wealth * 2 / 3))8 t: H$ b' F" f, x$ Y3 g: [, ~
[ set color yellow - T9 U( X7 a. o# s, {4 e
set age 0
0 d7 ]2 B" f/ k0 m9 R2 I face one-of neighbors4
$ ]2 Q7 C& d0 B8 z9 g' X" w set life-expectancy life-expectancy-min +
@1 c5 C8 o* z random life-expectancy-max + 1, n2 F4 y! N; {2 ^
set metabolism 1 + random metabolism-mid
1 t" z; t5 N0 E6 ~ set wealth metabolism + random 30
; H$ g Q) r, z set vision 3 + random max-vision, g9 C4 E+ k& ]
set wealth wealth + Wealth-inherited-mid]7 e% E( e9 a' b0 F6 D& J. `
[ set color green
! ^2 U/ I+ z+ E0 X5 R) i set age 0
* {) `( y; [/ f5 ~+ g% J5 C face one-of neighbors4
: j u9 w( y0 B5 f& w9 E6 S' Y set life-expectancy life-expectancy-min +0 j; K+ U+ W+ k0 [9 p5 m% b
random life-expectancy-max + 2 g( q V8 s8 T, _2 A$ S
set metabolism 2 + random metabolism-up
2 @ ^, D& ^: C1 t2 R* Y4 ^ set wealth metabolism + random 30
" G: G* T2 p3 O8 L set vision 3 + random max-vision- D8 W( i- p5 j0 ?+ Q3 I
set wealth wealth + Wealth-inherited-up ] ] 4 I" v" {5 U/ |' |% Q! i
- b9 j! U E8 B n* e; \4 T6 `
end! W8 E. _" R9 m8 e, E" o7 Y
to set-initial-turtle-vars-wealth3 \0 O8 y: p1 l. x3 c* D8 W9 G2 @
let max-wealth max [wealth] of turtles
6 p7 A# ~( N5 h: G G set age 0' r, u+ t9 U4 a7 C1 |
face one-of neighbors4 4 `* q# n: i9 d3 e/ f6 P/ {$ u
set life-expectancy life-expectancy-min +
# m# D) r9 E) x9 C random life-expectancy-max % E' z$ A0 Z/ w3 G
set metabolism 1 + random metabolism-up N8 \7 M o: G) C( z6 A8 J
set wealth metabolism + random 30
7 G7 W/ }/ W4 n" d set vision 1 + random max-vision 6 c' [' o: Z5 ~, P" R
end
- K8 b m6 H- B& j( s& o8 J5 a) Fto redistribution; i! A6 n Y* D# K0 f, c. Q3 ]; M
let max-wealth max [wealth] of turtles
5 H5 H0 j1 u/ i5 N& ~) W; z4 {let min-wealth min [wealth] of turtles- J$ k8 g; Y3 F& ^. f2 D1 U+ R
if (wealth <= max-wealth / 3)
/ C$ |0 V c O8 x [set wealth wealth + Low-income-protection ]
6 |& q0 H V% I" m% ~end
' T# j2 n( c9 E7 {: Y7 r5 F% t. Q7 N ! Z+ ]5 f( D v2 G% A6 t2 {
to recolor-turtles
) [2 @" p; k1 U# ?4 j+ ~* P let max-wealth max [wealth] of turtles
' G6 r/ Y, o* j6 O ask turtles1 _9 A2 J- x5 r3 q9 S+ o" Z
[ ifelse (wealth <= max-wealth / 3)
% \4 d& K8 r) l1 {4 w [ set color red ]5 ?$ C8 D+ W5 C) f
[ ifelse (wealth <= (max-wealth * 2 / 3))
" k4 M; o5 B) ?; B+ q [ set color yellow ]
3 _ d& ^7 X, y [ set color green ] ] ]
0 j0 c% H& a2 \2 E$ O2 \9 _ ask turtles [ifelse show-wealth?8 C7 i! {3 I+ m0 x% ~
[ set label wealth ]! X7 H& S: ]% U% i9 q! P* B# T
[ set label "" ]]
. I/ m( T, Z$ @, F& F0 g: r) W5 ~end" M, Z, r* N0 P7 N
B& k- u& Y; J, J" j) x6 m
to go6 j* @9 a; o9 h) A7 o* Z% P, f2 n
ask turtles
6 Q- {( K- {" M5 v. ^4 q [ turn-towards-grain ]
6 V0 C) ?$ J* E& g- N; m harvest
& P+ R- `% H8 W* R5 P ask turtles
# z: @- ], k* | [ move-eat-age-die ]
6 ?/ J' C( e+ b& Z- c! c recolor-turtles& D+ I0 I0 ]0 s7 \5 q, R5 A
if ticks mod grain-growth-interval = 02 u5 b; d' T; J/ x' x$ N+ ~
[ ask patches [ grow-grain ] ]
7 Z3 m- ^7 `' O, ?* b # f8 x: k+ Z% @) M' v3 c
if ticks mod 11 = 0& m/ @; J$ U/ P/ I0 }
[ask turtles
5 r1 l( }- g% l: U* s [ redistribution ]]- j1 E% [% B. m7 Q" F4 c
if ticks mod 5 = 0& s& o5 n& I* `0 M6 {% a
[ask turtles* E1 `5 O( @5 ~: I. h# T" o- T# E
[ visions ]]
]) x9 O0 y$ q tick$ |. b( i0 k! C
update-plots
- `1 ~) g8 k, @- _end
5 _+ B8 f- L. Y# \to visions2 F% a+ W' N. w/ D' K* \8 f2 K( ]
set vision vision + 1 ; b; X7 l. Z% L) P. t
end
! v- i U0 N2 I1 R* ~% H, G; w! `0 a6 j( y( Y0 m$ a: ~* G
. I. P5 g' v3 M# _( ~# [) v* q9 X
, H* X7 M6 d0 U H' R6 x% _to turn-towards-grain
, i5 M8 W+ p( z5 P L3 @1 p set heading 0
" l. r k1 Y2 J" c- {8 U. b7 l+ t let best-direction 0
$ K2 B$ ]2 k! S x let best-amount grain-ahead
) d/ w- r/ S2 e% o# r set heading 904 L8 \4 `# C7 Z. d) b& V+ H" _
if (grain-ahead > best-amount)
) u0 D7 q$ ]" M; ~5 F8 T% L- C# P [ set best-direction 90
/ F& f2 p- o" D+ i0 g1 U5 [ set best-amount grain-ahead ] j5 m% ~( F, s& x/ f
set heading 180
- [# q1 U- O2 D" z! {1 Z! g if (grain-ahead > best-amount)
3 D$ @1 q7 L6 W- s( u# e* z [ set best-direction 180 l' z+ |9 M% \4 x; O
set best-amount grain-ahead ]
+ p$ A- y5 X+ Y& ]2 P8 ~! M set heading 270
4 Y% U( N) [$ {7 x' P1 v8 a if (grain-ahead > best-amount)
' f8 G+ f# [8 ~( u0 w. W0 o% m: n) _ [ set best-direction 2702 Q, ?6 g1 Y% ?+ i! W; t
set best-amount grain-ahead ]% P7 m4 i" b$ L: z
set heading best-direction
+ b9 E% `( N6 s7 |end
0 ~2 R$ G# y% s( w; B& O& s
: c0 \7 z5 ^: l
& M1 e4 N! p; H$ {# o0 k+ j/ [to-report grain-ahead " | m/ N. ]3 [
let total 0
+ G3 t# @8 |: o let how-far 1
3 s/ n! T' k/ u% V repeat vision4 B9 w3 h8 Z6 w9 r: R
[ set total total + [grain-here] of patch-ahead how-far
, J- Y3 @/ m) g$ x: R set how-far how-far + 1 ]: d- w* `+ ?' ~3 |1 D9 r, M+ q5 T N
report total
) ~9 ]8 `2 _! c. c1 |) |# lend
`+ W1 e' w! A4 d. e a. \7 a: P$ B! n' v
to grow-grain
( f: j/ L/ G- E% q! d4 | if (grain-here < max-grain-here)( \) e4 W# N6 K- f$ L, ^4 Z8 H
[ set grain-here grain-here + num-grain-grown% ?2 I$ _5 \4 Q$ h5 h1 _
if (grain-here > max-grain-here)
' x' O4 w. ?; Q5 g! ` [ set grain-here max-grain-here ]
) [0 j. G( X2 T K* R+ d: J/ W$ T recolor-patch ]
9 W: @7 Y- B) f. D" F/ B; Pend
# j8 J* J9 ?: ~- j* ?! z: Z) Kto harvest7 e; n& p' C7 a
ask turtles7 w/ O) E0 e8 l5 ~/ c( U* H
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
! e! Z6 d9 T. `# q- N& } ask turtles1 w) }4 a& A. D6 s$ }
[ set grain-here 0! @: \1 @) t/ _* u9 k1 [
recolor-patch ]
2 w* Y' U2 |9 s; |& O
9 C% j/ S# T1 Q1 C, U( w- aend
* i- R* V* n% v$ U A& P& u- k. X* k' R ^/ r% T6 n. ]5 ~# A
to move-eat-age-die 8 @; V) k1 F8 ^7 h- e
fd 1
% S \) k. |# E* A$ k set wealth (wealth - metabolism)
1 d" @" J! S/ C9 e4 U U set age (age + 1)
( K3 J) v7 ^" f) G3 A% I if (age >= life-expectancy), K" s3 _# t" j8 G0 u4 z& I+ n
[ set-initial-turtle-vars-age ]3 H9 {& e9 ^# b* M
if (wealth < 0)
8 I6 A$ O, Z# G* B4 x J* F [ set-initial-turtle-vars-wealth ]
& f+ z1 `1 V) d8 k* L5 J/ D: v6 Q ; L" A. T- |* u$ W k
end( H+ l* M/ a, T3 U$ j
3 k# T9 f6 \) X& @0 ^, R8 M) ]& T. [9 _
to setup-plots
' y9 b9 Q3 j2 U; F0 s% z set-current-plot "Class Plot"0 y5 H6 d0 D8 V5 \
set-plot-y-range 0 num-people
! t9 ^' s) b t set-current-plot "Class Histogram"
$ m( u+ f; o/ R0 V- { set-plot-y-range 0 num-people% h2 A. [. H J3 S
end) X5 E* }" j& `- _
2 z5 f# Q% r" O) G3 R
to update-plots
; T! W% N) d5 C. c' s' l. P update-class-plot
4 X' U+ ~7 C L4 J O& f- G update-class-histogram
% Q6 v: }3 u. G1 H update-lorenz-and-gini-plots
7 n3 C9 C, u+ G- j9 L! E1 ?end
4 v7 `0 G8 R+ A; m4 C j5 ?/ a0 T6 e$ G7 |2 j5 {" u! Q; p$ R$ @
to update-class-plot2 h# }2 E; l9 b6 j: P
set-current-plot "Class Plot"
% `1 p& h% L' s; C/ V1 N set-current-plot-pen "low"3 `" |( [# v3 j2 G
plot count turtles with [color = red]2 D. |- w B; ?3 f
set-current-plot-pen "mid"
% L7 q5 S) K+ ]1 O+ V plot count turtles with [color = yellow]
) c! a2 L& _. v% j set-current-plot-pen "up"! j0 {6 e, J" K
plot count turtles with [color = green]7 ^: R6 v# D r8 i! w
end6 [* j4 j0 e P8 [, m
- b- d6 o: g! L, h3 p/ a& xto update-class-histogram9 g* |! F1 N! r9 x5 ]2 o
set-current-plot "Class Histogram"
; K$ s8 g$ x; W! `6 ^. E& H plot-pen-reset
# T$ d1 w0 I6 ^8 @# f set-plot-pen-color red
+ H) k0 W! x( G plot count turtles with [color = red]. N( G! [7 v$ Q( e
set-plot-pen-color yellow
2 j0 s5 K' F* s4 q" @2 i4 U( {. q plot count turtles with [color = yellow]$ Q- L4 n0 t" C( V
set-plot-pen-color green1 `, H) U+ c6 L
plot count turtles with [color = green]' c* C1 `: V! m- r
end9 ^1 U" i8 B/ b) D# ^
to update-lorenz-and-gini-plots% X, E! e( D* |- B9 U1 A
set-current-plot "Lorenz Curve", d) m; P. `& o3 ^9 |
clear-plot3 D6 N. ^& C- L/ O# d: e9 i5 S5 U
9 |7 r, X9 }$ ], D- K+ B set-current-plot-pen "equal"1 T! S& P3 i- z( Z* j% _5 M- U8 O
plot 0
5 h' a5 j9 D+ J7 y plot 100$ X3 H! V3 \: C4 l% `+ q
( R9 \8 ]* D2 z* A9 S set-current-plot-pen "lorenz"0 N+ U4 a Y; n1 a ^
set-plot-pen-interval 100 / num-people7 n r: ]5 B& g# B3 O6 c
plot 0& P k% J* c! A$ r
& ]! F) R2 }0 h, i8 v: [1 l0 o
let sorted-wealths sort [wealth] of turtles r g9 Y/ l- W2 A2 Q( D) m
let total-wealth sum sorted-wealths
$ n% z+ d0 ^2 i* ^ let wealth-sum-so-far 0
; U, M) n G% C ^" e3 Y, j2 m- ^ let index 07 r3 N# Y9 |2 e/ l! a( j! E% J) V7 ?
let gini-index-reserve 0: p+ _) W) Y2 D
( j: Y- L/ i" q( P5 V repeat num-people [
9 n; y6 J# l" ` set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# z3 t* {' k! ^. n/ K plot (wealth-sum-so-far / total-wealth) * 100& u5 K' \2 k& m; K: H1 ~: Z/ U2 L
set index (index + 1)
6 h* p7 j6 O: B1 i- ?1 F$ Y! G set gini-index-reserve v1 _$ \0 v& C
gini-index-reserve +
. n& T% s' i) J# X- m0 J (index / num-people) -
/ o# d+ {' f+ ?, w4 k* {! I (wealth-sum-so-far / total-wealth)
3 J: l3 P7 F6 O5 v' d ]
7 b5 M2 ^; y6 @& v/ i5 `' j" X
set-current-plot "Gini-Index v. Time"+ S4 o* K# E; `& X% Z. [
plot (gini-index-reserve / num-people) / area-of-equality-triangle
, z7 `: s# q4 K Cend: P' j" p9 j g" [- M& ^7 V& Y# i' D
to-report area-of-equality-triangle/ Y3 S* Z* B1 t$ |0 H" D+ |
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ q9 l' H; N; B+ G5 R
end |