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
- U5 r$ c% E6 [globals5 e9 T G D; W* W& k1 N4 F+ G7 M
[1 e( O( _0 u$ I. A' B( v1 l8 I
max-grain
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]
% x* a3 ~. z6 Z; B% R/ N
# n% y! A$ r. Z3 Upatches-own
% X' I5 s" Q2 p7 i5 D[7 u' T: E3 G" F: |' M% J5 b
grain-here
* u9 ]1 k. g: o6 k/ X" ? max-grain-here
5 F, x$ @8 v9 }9 [' D]% ^( i; U: M+ w2 e* @5 x6 Y; |7 R" G
+ L/ S3 |% K' c. V1 y1 x% Zturtles-own$ w8 j: Z! } s& \6 l
[2 `' T3 f e; a8 I1 l
age + e& b+ e5 h* w
wealth
) o1 T. w# ~/ G% B4 K" A/ ]3 _) b life-expectancy
! _1 b$ S, X3 P+ a0 O! b metabolism
" ~9 ~/ E8 ]2 G6 U8 u1 P vision5 h) Y. D9 x5 E
inherited / a# K; v; A2 A$ D
]# q) K% f( g4 N
2 K0 D0 r7 I8 M
% H8 A- g- ~* J3 n$ ito setup( i3 _3 P- F8 r. R
ca; j& ?9 I* V& F8 e" G' ?
set max-grain 50
- U( R$ e" G8 J9 e setup-patches
+ z, x. A9 ?+ n& \( Q' I setup-turtles
2 D" t7 f/ y6 `1 T; Q3 [) a6 B setup-plots; V3 }( I5 V0 T" M1 Q N
update-plots; M3 s% `7 v- e6 G9 `! n
end
6 _) ^7 i3 l8 }6 d" H0 F6 i* Xto setup-patches
, W' M6 b! `7 s: G7 K1 n ask patches
, @- R. ~- @6 I0 {5 | [ set max-grain-here 0" i& ~" e2 f+ Z" V2 J1 k
if (random-float 100.0) <= percent-best-land l( k- R4 L. J, T$ ^0 c1 d, f
[ set max-grain-here max-grain; w; M9 D* f9 f, E- N7 Q
set grain-here max-grain-here ] ]
' B! L' V+ I' z6 [/ U- X repeat 55 b1 s# c7 O X0 I% z. R
[ ask patches with [max-grain-here != 0]
5 f! `0 m/ n+ P; _7 E, }% }/ p [ set grain-here max-grain-here ]
9 d9 e; L" Y, d: Q. P diffuse grain-here 0.5 ]" J0 F. q2 h, x# @ Q' ~9 I& N4 v
repeat 10. X! o' I4 E- p u5 l8 C! v
[ diffuse grain-here 0.5]
: }0 t- a Y( p* s# W! p } ask patches
! e8 p( g3 F* \* k4 m% h1 ` [ set grain-here floor grain-here , y$ ?2 |2 q. W0 f
set max-grain-here grain-here
& o' {- Q0 y9 o2 \% ~4 J) v recolor-patch ]3 T" a& ~7 v% O5 A
end0 I5 D3 B4 S. t+ D2 w7 m: r" b2 D
to recolor-patch 0 V* v7 F0 I3 {! Q9 h4 n
set pcolor scale-color sky grain-here 0 max-grain
: W( g; e3 H; u- o+ F" ~end" b. A; o% H/ _
to setup-turtles( A x# H2 F# T0 q3 t ]+ E% W1 ]
set-default-shape turtles "person") D$ {5 U( V, M+ E2 h
crt num-people
# n) m' m& Q' Y [ move-to one-of patches , C3 p( e: _ T9 H: e
set size 1.5 ' w( u! D+ ^! J H z" d ^
set-initial-turtle-vars-age2 s/ e7 K n% L( O
set-initial-turtle-vars-wealth9 Z: e7 V; y2 z b9 Z
set age random life-expectancy ]
% w1 z+ B. |* U1 C/ R recolor-turtles
% \$ l6 i( Q; z x' W+ d; Fend
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to set-initial-turtle-vars-age/ }" A( R0 `- b# | Z( Q
let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
* J% m5 R- v) _' k' U [ set color red + I9 e% P/ m r, j/ |/ s
set age 0
8 D: E! r! ]. d( L# G9 E face one-of neighbors4 3 x& E/ U' y. k- y( ]6 H; B
set life-expectancy life-expectancy-min +
2 Q0 S# r7 `6 i' \ random life-expectancy-max 3 q5 t) j9 e& A3 {
set metabolism random 1 + metabolism-low
. @: A6 _, a. U K+ [& |/ a set wealth metabolism + random 30
- i- z' { x( _+ G& x) r5 f set vision 1 + random max-vision3 F K; `5 W6 E* t
set wealth wealth + Wealth-inherited-low ]% z) D o8 I" j
[ ifelse (wealth <= (max-wealth * 2 / 3))+ s0 a' g8 E H& o8 a: s
[ set color yellow 4 o, t9 D. W1 q; |$ _2 z ]
set age 0( n: J+ ?, y( \* c# X4 F3 x
face one-of neighbors4
, r$ ~6 [5 X# n set life-expectancy life-expectancy-min +3 u/ y( F L' c2 `# [2 e
random life-expectancy-max + 10 T- n9 _- V0 `/ p
set metabolism 1 + random metabolism-mid
9 q: d! @* W2 n/ ]/ { set wealth metabolism + random 30
! I1 ]1 G- O! b" E6 h set vision 3 + random max-vision! ?) \3 a% d3 k+ ?4 K0 J
set wealth wealth + Wealth-inherited-mid]
( f; C$ E0 t; ]+ U' R [ set color green
, q! H. K6 G5 }' u. O C set age 0
! i+ k: _ Q* h0 ] face one-of neighbors4
9 F; d8 n& D; S% t; j9 p set life-expectancy life-expectancy-min +2 A( v; l3 t+ S% C. K' O
random life-expectancy-max + 2
$ B- t7 v; b/ b, d0 ` set metabolism 2 + random metabolism-up/ X" O* Q; i0 s. P; T/ s/ ^. i
set wealth metabolism + random 30$ U' c. g+ j" |5 I/ Y' c7 B
set vision 3 + random max-vision
3 Q4 `. a# ?- y* v" G: |* M+ f set wealth wealth + Wealth-inherited-up ] ] ! B, G# _! p# l: I! i
% Z4 p& }2 x: i- G% }8 X3 n8 fend
2 Q! H6 D, B8 xto set-initial-turtle-vars-wealth+ x! r. Q0 I A" g8 \
let max-wealth max [wealth] of turtles9 s& d4 T" j) w& G( |4 Z: y
set age 0
B; Q, m/ z9 {0 ^. ~( }8 } face one-of neighbors4
3 [: C6 U% K9 c1 R0 Y6 _% S set life-expectancy life-expectancy-min +& E/ D+ x' `: r% x
random life-expectancy-max
7 [# T8 b6 D+ r4 U/ h# c* | set metabolism 1 + random metabolism-up w3 z! C& d" n
set wealth metabolism + random 30
0 t2 H7 F! g4 O set vision 1 + random max-vision
9 M- g; z4 x1 W, nend2 s+ n) u5 f# U' [" |
to redistribution
1 R1 w; J. Q& M! w7 ]1 Plet max-wealth max [wealth] of turtles
1 a8 G# Y$ i- u0 Flet min-wealth min [wealth] of turtles
2 @: s8 o2 A$ {# C9 }: O8 }. iif (wealth <= max-wealth / 3)- V7 n3 G% U# h _
[set wealth wealth + Low-income-protection ]
1 s& \' ^$ ]1 g& G4 rend
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to recolor-turtles: Q: O) U0 P: M9 _
let max-wealth max [wealth] of turtles
5 z: y6 J9 o7 R) ~2 c7 t. n- F ask turtles
U& m0 I6 `' @$ j* Y q1 }, P% @ [ ifelse (wealth <= max-wealth / 3)
1 t3 g7 e" T- Y; U3 _" n+ B [ set color red ]( M3 ]/ [3 d& P7 Y* j0 P
[ ifelse (wealth <= (max-wealth * 2 / 3))$ S. W& D9 O; x- U5 d
[ set color yellow ]2 Q6 @7 N0 u5 l' S& F- F% J8 u! `
[ set color green ] ] ]
9 L. G( L' e9 U# O# o ask turtles [ifelse show-wealth? I7 l+ h- o o) n0 t) ^
[ set label wealth ]
1 @7 V8 J P* S0 [ [ set label "" ]]2 c7 x8 m, o8 [
end
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to go" C& z: z& v Z: M" R
ask turtles
( O5 `" d( M! ~# s7 m7 | [ turn-towards-grain ] ' T, E, g% |" a- a$ H( y: I- |
harvest; ?# Y6 w0 a, H8 {5 S/ a. g1 s" b1 m
ask turtles
+ Y& }: N& Z9 N; q- Y [ move-eat-age-die ]
. Z3 v) r% O2 d( a! V) c" U) i8 x recolor-turtles
8 U1 x0 S. m' ?2 D2 V1 l if ticks mod grain-growth-interval = 0
0 l5 @$ I4 J4 @6 O9 l3 ~ [ ask patches [ grow-grain ] ]; t7 a- `) m& V/ U0 {0 `
/ h) h2 G' i+ C3 V; U
if ticks mod 11 = 05 m# |, [, f/ N5 L9 D; x
[ask turtles
9 ~ _! s7 v w, N* J9 H3 l1 W1 S [ redistribution ]]
3 J. `7 O6 y" N; r if ticks mod 5 = 0
8 i L/ x. l6 A& e- w3 b9 i4 E [ask turtles" q0 m7 F7 M9 I$ _0 n9 Z5 U w5 I
[ visions ]]/ V6 m" \! h4 u- G' Y- Y
tick2 y7 w- ~/ k) k8 Y
update-plots
7 \4 q# s/ X& h" D" Hend- m0 I9 J; ~8 J1 n9 f `+ `
to visions
2 o: i* e; ?+ j: \6 c5 C set vision vision + 1
, s! d, r; e& d4 I; M/ U6 H+ |end4 r4 H2 Y6 J1 ?1 X- C
N3 s7 i3 a% s% i% @# l4 g t
1 ?/ B* [% q" f% X$ S" P
; O. A" L# w% l4 E/ M {& Zto turn-towards-grain
8 X E- U0 M# ^; @3 } set heading 0
$ B4 e ^: l7 [; S6 g+ ? let best-direction 03 G' C: v, X# U$ o" |
let best-amount grain-ahead+ [2 N6 n" | c( F, o# {2 y# u
set heading 90
5 w' v! t N# x! e9 |( o if (grain-ahead > best-amount)0 f" P6 Q$ W0 c8 z9 |
[ set best-direction 90
0 S, T1 ^ S& b0 K set best-amount grain-ahead ]/ b. b j( \6 a5 n9 y
set heading 180, o% P" g% o8 v: b4 {
if (grain-ahead > best-amount)
) U- e- b. Z; @% u [ set best-direction 180
3 a6 R. L9 z% J! D& ?* d4 U set best-amount grain-ahead ]
' }5 d0 f; h) o5 M3 e# h5 m4 o4 } set heading 270
) S) [. k' c' O- q if (grain-ahead > best-amount)) c8 }7 I2 V7 R+ |7 l' U/ K' S/ t
[ set best-direction 270: f. o" v$ W% V/ S0 d
set best-amount grain-ahead ]# f* u! S& _( g5 |5 Q8 F1 P5 E
set heading best-direction# \& d/ M+ E; F6 o$ G7 ~
end
5 B- D, K$ L7 ]; U' {5 a8 K- O+ O
I9 S& g b7 p! Z$ O' l5 `
$ [, a3 n4 v4 c3 A) p- e. Oto-report grain-ahead
2 D6 r# i( k2 n. J, X let total 0
/ f% e# I& y- S9 B/ c let how-far 1
, E0 ~4 L4 V8 j) C: ?$ e, O: D. L repeat vision& E: S/ w( A. v
[ set total total + [grain-here] of patch-ahead how-far4 A% a+ N4 } u& G, ^3 A- e
set how-far how-far + 1 ], w, ` p7 K0 f- X5 w# K5 P
report total
9 M; T3 P* }1 w0 G! s% j) o' u" @end
1 |% c% B" ~1 b) X: H6 ?4 P* W
8 p& T1 m& B' N# ]to grow-grain 9 F5 S' A- Q; }. S& B7 p. u9 O: J
if (grain-here < max-grain-here)$ d! `6 O: f+ ?+ H0 ?3 l2 H
[ set grain-here grain-here + num-grain-grown
v6 u$ u( P/ P+ f/ ]% B& Y- @ if (grain-here > max-grain-here)
" I& X! r0 i9 j5 P( r7 f! K! S [ set grain-here max-grain-here ]
+ J+ H7 z& m, u: f% k recolor-patch ]
4 n% n+ V% N1 ?# p& W$ fend) b# l& A9 D% G3 ]0 E2 u6 B
to harvest
# }' j+ P; s7 q6 Z6 A ask turtles
5 a2 E. n/ S- f) t [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]4 t4 I* |8 _! h$ j9 q$ f
ask turtles! K) W2 o! | E, j/ Z& ?- R
[ set grain-here 02 u' V# t0 ~1 {8 W; Q+ J# b- q
recolor-patch ]
; c( n, C5 ]; H4 R) J: C' g' c8 T 7 }$ u3 m" t9 w- \8 t+ j: s
end2 x, G" {/ V$ J/ `
4 Q- y9 N4 ]7 [5 _+ W( v
to move-eat-age-die 5 Q: z% C* n) ~& @- K5 d
fd 12 v6 d; K6 e4 c( S
set wealth (wealth - metabolism)
0 [8 _9 N+ j, K3 E t2 Z/ i set age (age + 1)# s3 z6 u+ s2 J! L- f1 J" a4 J
if (age >= life-expectancy)
/ |2 R& c! ~' R2 J r% \& b' ^3 n p( u [ set-initial-turtle-vars-age ]
0 M2 L1 x' I+ I' f) y# W& b( q2 B if (wealth < 0)7 F1 i. L' {0 n
[ set-initial-turtle-vars-wealth ]" Y8 c) z, k3 a
' h. S; k+ R; g& B& \; B! Q4 ^end
9 S" ^7 w" L& L1 r1 ~% ]0 h
5 @# a; e5 V. L0 C; q9 Z( J( }
, j4 H# z! }" Tto setup-plots
, i: S+ S- A2 U set-current-plot "Class Plot"
$ b( @+ ]* g6 g5 s! z set-plot-y-range 0 num-people2 z ?1 m% |' v! W) T, A U, E
set-current-plot "Class Histogram") u/ O1 h9 x- b* u0 \# W
set-plot-y-range 0 num-people
7 z0 ]' J- x' l1 l& U, \; `& u2 M# Q+ Y3 _end0 a' J4 o" H6 G7 K0 Z; S- b
- ^6 @4 j9 U" u. J! D1 N
to update-plots
( P# D% U. `( U: o' W update-class-plot
& m: z2 D" ], x# ]; D# L# _ update-class-histogram4 }6 ]' {- h l) o8 t' G
update-lorenz-and-gini-plots. B4 |; F" E& u+ C& b
end
6 g! t* n8 s& I- V2 z$ C: }7 A& U- i. j J9 k9 E& n8 s
to update-class-plot
% s7 s) Y. J9 q- A( R& v set-current-plot "Class Plot"+ E/ {, u1 T" B# G
set-current-plot-pen "low"4 r1 o) e8 r X9 I! {/ H
plot count turtles with [color = red]% C' n: q. z) n% o2 m$ U: J4 U8 D
set-current-plot-pen "mid"2 u. z- o) J5 P6 L- j# x' p9 j- P
plot count turtles with [color = yellow]
( @( Y- b7 ]! H5 V5 e) A# b set-current-plot-pen "up"
& \3 B( H) b9 s- W, Q: @ plot count turtles with [color = green]* m( ^, t1 ?( i4 v7 |
end8 t2 f, d8 `4 l) n1 s3 u7 @- \
* u# O" h- N: g# W! t, Lto update-class-histogram7 |$ u( q% D- M0 {% g
set-current-plot "Class Histogram"% z: Z: Y5 Q6 \& s, `1 u% I/ Z9 M7 ]
plot-pen-reset# g0 s: g: E6 }$ K1 k& m
set-plot-pen-color red+ \. W5 g1 G4 y9 z2 p4 k4 \
plot count turtles with [color = red]" z4 A& J% e. O! N. j& g' E5 H2 @
set-plot-pen-color yellow
# r6 T) x7 T4 X- G6 v plot count turtles with [color = yellow]
% T8 b- {( S1 B8 X b set-plot-pen-color green
% T$ M, m' o q' v" u4 M plot count turtles with [color = green]
, w/ y) [+ j: Gend
/ F# t4 \9 B$ Jto update-lorenz-and-gini-plots
2 M6 j2 F9 L G! T. v set-current-plot "Lorenz Curve"" h! C% b& ]& T5 t3 t! q
clear-plot
6 [) M1 R- c* H* W2 a. A4 \$ a; b6 ` o# g8 S
set-current-plot-pen "equal"% k) f/ E0 q% m# K* \! \" f7 ]
plot 0$ _* G( z" O/ I8 e( [8 |5 j1 r" v" W
plot 100
0 \4 G/ x! {3 l/ f; p8 I/ r( y- E
b5 l( b7 A; E( j% C/ {1 _ set-current-plot-pen "lorenz"& h0 p" I1 w* P/ w- h( U
set-plot-pen-interval 100 / num-people
+ O% K$ r4 n N' R. A, h* d. i plot 0$ o. X# u3 F) `/ ~) U
3 L# G N3 P! ~4 @! { let sorted-wealths sort [wealth] of turtles5 A, I; Q9 ]' i! w# n ]1 e
let total-wealth sum sorted-wealths
9 H' N1 S n4 }- Q. b# E+ R+ e, ? let wealth-sum-so-far 0" m5 t& I0 y/ b
let index 0
# s" s# ?. _/ Z let gini-index-reserve 0; W0 F" @9 M% H9 ^: L6 M- e1 M
: W$ r% s# X0 ^ repeat num-people [1 i" T; ^/ Z9 e) n0 S) j1 e
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* l; V2 }; C0 T! O7 N
plot (wealth-sum-so-far / total-wealth) * 100
: L/ I6 O/ ~' U# M# Z set index (index + 1)1 }( p3 t2 L7 L
set gini-index-reserve
|0 i" r" d* T; E% J gini-index-reserve +4 r! N1 J3 K6 q( F. R
(index / num-people) -4 N' e& M5 f4 k% u/ L+ G0 `) p
(wealth-sum-so-far / total-wealth)
& C9 {0 R: r7 Q6 a, Q ]
: u3 `: i: |! `4 R) d- a8 g% c, f% V: |9 X! G
set-current-plot "Gini-Index v. Time"
3 b9 B- A* y7 f# X' ] plot (gini-index-reserve / num-people) / area-of-equality-triangle+ l- R( n% L, u1 @/ L0 C# f' Z& Z
end& m( S8 t; M, h8 T/ a
to-report area-of-equality-triangle! Z: Z3 o0 [$ I( t, A
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 [- W( C. g2 \ Y' x. @end |