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& ?2 Y& `0 o7 L) I2 z1 V3 W
globals% S: r- B" x7 |, n
[
# Z' \0 ?! Z: R# M! c+ N) a3 a max-grain
2 O) B7 y, [" @$ A) u$ ~+ Z* x0 r5 Q' y9 I+ r7 Y; @
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+ F) C- F6 Z+ ]/ Apatches-own
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grain-here
9 V* U) {1 p) j2 q max-grain-here e6 A* Y5 Q5 m: n
]
" D" p: q! Y7 X) d0 I) o9 ^$ c5 Q; A+ f% g3 r% ~
turtles-own( v5 T8 w) t; F) @( T- M: m. s; [' z; t0 l
[6 O7 W$ q! @; ^6 s
age
7 P7 ^8 p: J8 B1 r" i" s7 h u wealth
2 s9 f! L- g1 b4 H% U life-expectancy - A+ h0 C, n+ S% [: C k
metabolism
& ~; M" D2 `) T: {/ ^+ p vision! h* w) C# W* D/ C
inherited
# ~" C4 h/ A0 @1 N, w; W1 v]
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8 j) ~2 V! `7 m- [
# c/ h7 W- @. p, nto setup+ O# w( B0 w, a& \
ca
0 q& I1 C( m! z$ n set max-grain 50
2 B+ m( @1 e6 k& V1 M setup-patches
. G% Q' h3 q" X7 p: U setup-turtles
" i) z3 X$ E" m, x4 R' D. e setup-plots
1 J- X8 h, P" O) a1 S& |% j$ e update-plots2 d7 s) V9 M+ b
end7 S) w0 i1 d9 q. p
to setup-patches+ E* a& e" W3 v/ f" ~
ask patches
& g! Z! Y. K, w/ ~) |) C/ s( K6 } [ set max-grain-here 0
9 A$ l: k+ r: w1 s7 g2 r; W if (random-float 100.0) <= percent-best-land
. ^" H; c9 Q8 T0 y5 {+ M [ set max-grain-here max-grain
' K$ }6 _ ~' R0 U+ P0 |/ b3 c set grain-here max-grain-here ] ]6 |( P4 Y8 O! N/ R: y2 v
repeat 5
7 w4 @. ]4 D, o3 @, L [ ask patches with [max-grain-here != 0]
' J: m6 Z/ j, u) _$ i z, ~6 ~ [ set grain-here max-grain-here ]
: J6 y/ L+ Q: `1 N4 }- Q/ ] diffuse grain-here 0.5 ], m$ X% p9 o1 ]' e& \# K. w/ J
repeat 10
/ t# ~4 p& |! k# U [ diffuse grain-here 0.5]
) s$ u {# `% w" M$ r$ L8 z ask patches5 o5 N; t* K9 s, M+ h7 ?) w' X2 ^
[ set grain-here floor grain-here z( t, L* x% l; N1 S
set max-grain-here grain-here
0 ~) p- h# m. \ l recolor-patch ]
: ]" ^' t/ _$ f( L. `$ s- I; [end5 g5 Y; }7 r8 u" ^9 `; A
to recolor-patch - v k- W9 z; y( Q7 r( J* F$ q
set pcolor scale-color sky grain-here 0 max-grain. r v& b2 B' T: V# g
end
6 q g' S8 `7 s$ Mto setup-turtles8 ^+ S- E: a! S( [* m- U/ F- D
set-default-shape turtles "person"
. [# b$ Y6 R5 z" z V+ }. e) R: P crt num-people6 M9 S0 j) }8 a, Y! @5 |
[ move-to one-of patches
+ X* G1 \! E8 b set size 1.5 % q$ U5 Y: q) U! z: \
set-initial-turtle-vars-age2 Z( @% ~* i7 E& I, ]: N3 g
set-initial-turtle-vars-wealth
& [6 z' N) ~/ }9 V set age random life-expectancy ]
; m0 K4 z$ E& L6 c# b6 p, z% d: s# y recolor-turtles8 U) O: x" l' N1 f4 G) A. Z
end
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to set-initial-turtle-vars-age
' Y* p9 y- } W! H$ { let max-wealth max [wealth] of turtles( X, j, N4 J" w @
, H" R4 i. M8 V2 E
ifelse (wealth <= max-wealth / 3)" f2 ]& C; y, g, _
[ set color red
4 Z( p0 H* q1 M4 g set age 0
+ w! g! q$ |- T2 n3 J7 n# ~ face one-of neighbors4 ) k! T! @# U1 `. }/ k" F
set life-expectancy life-expectancy-min +$ [( G7 R$ l! C; M# w6 g7 L7 d
random life-expectancy-max , |% d! x! t9 I* @3 E9 P
set metabolism random 1 + metabolism-low
: e: s/ a0 W0 t/ `: ~ set wealth metabolism + random 308 }, t4 Y. A D; u* M" v$ T# `
set vision 1 + random max-vision7 Z* v* z( Q' W Q$ V
set wealth wealth + Wealth-inherited-low ]
^& U; h+ p0 u" | [ ifelse (wealth <= (max-wealth * 2 / 3))& ]/ _7 F" Y9 J3 W. T: Q
[ set color yellow P0 Z. c, r5 L2 D
set age 0
& U& M; `- ?1 v, o4 ?4 C' i face one-of neighbors4 / F0 H! J9 I$ F% O- y
set life-expectancy life-expectancy-min +
3 c% ?1 E; L0 x# g! U; \/ p! S random life-expectancy-max + 1
) D( k# L+ X1 y% m* ~5 \. j' p set metabolism 1 + random metabolism-mid
4 k+ {: P! U/ y4 m9 {) |8 U set wealth metabolism + random 30
J7 w2 Y+ m) k* R0 S* x" x set vision 3 + random max-vision# ]; Z) b' l4 L8 v
set wealth wealth + Wealth-inherited-mid]
8 E5 l' I3 } Y" H }% n1 r2 G [ set color green ! i7 |- j, u6 d
set age 0
. f. b7 E5 \+ C( Q) l7 c face one-of neighbors4
2 U, h: x; o3 U' M4 r set life-expectancy life-expectancy-min +' o; q" \, ~1 t2 D# \% ^
random life-expectancy-max + 24 Y9 P2 }. l% c7 H# E
set metabolism 2 + random metabolism-up0 V( d; H! i$ X) k' Z: n
set wealth metabolism + random 30, v# v" L$ c3 N+ s' l! b
set vision 3 + random max-vision/ F& J( F% d" E1 {: w7 s2 ^$ I
set wealth wealth + Wealth-inherited-up ] ] + z; z/ I% z K: L
* u% V# B$ }; \) I1 m: P8 Vend; K; O! b- V. X: [! X5 V
to set-initial-turtle-vars-wealth
1 c* o) w) [& D, ^ let max-wealth max [wealth] of turtles8 ?) i2 i" _4 y6 H9 z
set age 0
* J- {! t. V) X/ [ i( d face one-of neighbors4
7 |0 X- L( |1 q1 p set life-expectancy life-expectancy-min +4 F6 V, F. }9 F; H- M. \
random life-expectancy-max
6 Z9 z9 r4 q( O1 g set metabolism 1 + random metabolism-up; y$ s# q9 p% ]; T
set wealth metabolism + random 30
# w9 {+ y) |1 Y- ?# B, ] set vision 1 + random max-vision 9 z8 M4 B+ W' E( N
end
7 G+ g0 Z$ b& F0 ?* T- E/ P$ Yto redistribution
/ I0 `, y/ f3 P: I" R, \6 D( Glet max-wealth max [wealth] of turtles0 F" X7 L. W! P' D
let min-wealth min [wealth] of turtles! _( i, b2 v$ z* {* T# b+ m
if (wealth <= max-wealth / 3)2 T1 X7 @. T" A# c! z* Q0 D$ v
[set wealth wealth + Low-income-protection ]" c. a% ?, {+ s6 ~
end2 f1 t9 S' g; r$ r/ p; N
1 U, T0 j7 w7 u2 @
to recolor-turtles6 ~" p; K t0 ]' I" o( b
let max-wealth max [wealth] of turtles
9 V! S l2 T6 @# f ask turtles
4 ]* N' C, M; \7 t9 y, I [ ifelse (wealth <= max-wealth / 3)( j) L+ Q- O2 E0 e- f* u
[ set color red ]4 `0 a3 M1 F3 n% R
[ ifelse (wealth <= (max-wealth * 2 / 3))# e7 Z$ k9 R5 h d4 U0 R
[ set color yellow ]$ J1 {+ G8 `; h* H* r4 M
[ set color green ] ] ]( h6 H2 Y. P4 u7 H
ask turtles [ifelse show-wealth?8 C) Y$ c9 X6 g2 ~0 ^1 j+ s
[ set label wealth ]
; K c2 m+ w5 J$ h* n [ set label "" ]]
4 Y( g( m" `1 Z2 ?/ }8 W" @7 _ Kend
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to go
2 |; V) r, r$ V* o ask turtles
' Z6 o; W: s! Y( J2 D [ turn-towards-grain ] , G: u6 r- j" Q6 f
harvest
8 E1 z. r j t$ A3 E. z; W ask turtles9 N: t- F; i" `
[ move-eat-age-die ]! p: X4 I% J& A, u' U4 Q
recolor-turtles3 u, j* T9 ^. ~5 k
if ticks mod grain-growth-interval = 0
$ \% l; A4 E% K [ ask patches [ grow-grain ] ]0 `; V% }, D) [. G) E! |
3 H# h+ I- j! U, \
if ticks mod 11 = 06 [4 V0 ]7 x3 ^ D3 W, Y% T' \
[ask turtles6 t. J5 f0 J- J) h' E! Q' V
[ redistribution ]]
; X# w |2 o0 G5 p5 G if ticks mod 5 = 05 n& t$ A1 r w t
[ask turtles
" ?$ x& ] X9 Y4 P) T% K [ visions ]]
4 o/ Y* S8 i+ P tick! h" k; S3 L, b* L$ T
update-plots
! b1 E; Q" E2 B$ O2 C" W+ Wend
7 m& d- K- S7 l- rto visions
! y |$ u0 P/ ?8 N3 a/ E: ~: E# X" ` set vision vision + 1 $ V; q% X" \2 D& A
end
: q! q! [% J; S4 n( Z) G9 q: t, N3 t: a9 G& r1 n8 d
5 u( P0 \1 Q8 [$ v- j
4 v! Y% q" _6 ~* hto turn-towards-grain
4 Q6 i; z0 x& K2 S% S" J4 v) ? set heading 0
1 Y, W' W6 n4 C# t2 I2 ^" U- ] let best-direction 0' o8 g, c) ?1 g8 y* {
let best-amount grain-ahead6 o3 Z) Y7 b* v8 l$ Q) l
set heading 90! F9 ]4 J. x, g& f+ l
if (grain-ahead > best-amount)
( N+ c# Y; y; v. } F+ | [ set best-direction 90
3 o/ V, M& L# {* h3 u" X, V" S set best-amount grain-ahead ]9 i! A# [( {, z9 O
set heading 180) R7 d4 l, V& X8 i Y2 Q# ^, y0 i
if (grain-ahead > best-amount)3 U9 Y# T) @4 L- }8 H/ B) I
[ set best-direction 180
6 S, q. W+ B' i" m" @ set best-amount grain-ahead ]
9 F. S2 i* J& O; c set heading 2706 b4 I' g* i4 u( S. n3 C X
if (grain-ahead > best-amount)9 h; }0 s& ]- I# ^4 |
[ set best-direction 2707 {* e. n, }! T" X/ e
set best-amount grain-ahead ]
1 J# ~# p$ Q2 T; w set heading best-direction) l: ^8 e/ ^3 j* @
end
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" t1 y: M" a" i7 N) I0 \& K
to-report grain-ahead
4 Y6 K2 B( S2 `4 Y0 } let total 0; g- c. L, I2 _
let how-far 1
) R! P" M6 ]. }" h% I5 C repeat vision
/ S4 Q/ C/ x# [ [ set total total + [grain-here] of patch-ahead how-far6 `# C R; \ b. f' N; \
set how-far how-far + 1 ], t3 o; `6 c T: J! q7 a
report total
! c* V/ n- X% w( ?4 |, |end
- z' a$ t+ h2 ~6 G+ r- @' h- k" g1 b1 w7 F5 [, e6 ^. l
to grow-grain - y+ _9 i1 [6 i: T, T
if (grain-here < max-grain-here)
1 u0 T: ~9 m. Y- r, s [ set grain-here grain-here + num-grain-grown
4 m, Y* L8 I: C1 e0 C if (grain-here > max-grain-here)
7 z X- f1 M$ @0 T; M [ set grain-here max-grain-here ]/ Z* M; V$ a, j% Q) R. M* d3 x/ L
recolor-patch ]( t. H4 p7 R% V- W. F* Y
end
/ E+ D1 K6 s! X8 h1 e# x8 ]to harvest6 p! ^9 Q: T& \) y8 u! K8 b$ ]5 r- ]
ask turtles
) t- \' q& L5 X/ L, v [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 ~5 |) X. G; X1 ^" q ask turtles) b9 H* K) c3 _8 W$ U) n4 X
[ set grain-here 0
: Z$ J; s% O3 J recolor-patch ]
4 W. B+ g; Q& \+ d' f
: M: Z$ i: O }4 |end. l: ~1 ?. F. d- H
4 t- `7 B, U7 J$ A
to move-eat-age-die 2 H3 o" l8 Y8 {9 z. F, ]2 s
fd 1
, u w( |4 {$ |6 r; t7 }" b set wealth (wealth - metabolism)* \4 e; G$ ]7 r" k% N7 ]/ x" K( ^
set age (age + 1)/ x5 B! u% P8 M4 {0 J
if (age >= life-expectancy)! C+ h3 r5 I9 I# l
[ set-initial-turtle-vars-age ]3 f; O9 ~5 q/ }4 c7 B, \
if (wealth < 0)
2 w3 h8 c/ i z. e2 r, h [ set-initial-turtle-vars-wealth ]% v9 \* c9 g5 B$ l2 h% Z5 R# e `
& m: c8 f; g1 P6 z! M$ d+ w9 \) tend
# X4 `0 o" I: Z; j$ Z0 F& G
: ]9 Y T# _/ k4 k, z' _$ z8 |' e0 a$ V @+ H4 |
to setup-plots
" f5 T1 O# b) c set-current-plot "Class Plot"
9 R, m' ]( z9 Z5 ^ set-plot-y-range 0 num-people
9 ^9 C: v) S9 ^! r K: |# V1 o set-current-plot "Class Histogram"0 E0 M' D& p( b* @$ n/ P2 E3 c( H
set-plot-y-range 0 num-people
* L7 U" t4 F9 n* f' _end
4 b" f8 |& `3 g8 X k; Z
) h& T" h6 ^, u9 L! x dto update-plots
4 A% a" w5 K! \$ b6 Z6 F% e3 O/ F update-class-plot
8 t( \' s$ }2 S, p1 O+ \" P* y update-class-histogram8 N# ]- }# A. j2 O7 H* c
update-lorenz-and-gini-plots
, G$ E! J0 [0 T+ B j: {end. O, T$ T$ }0 _* y
( b( `! J1 \" i* @& r! mto update-class-plot4 H" l2 }- D& h k, c7 H; O
set-current-plot "Class Plot"
/ I/ T9 s1 X0 w3 Q) Q) X) O& ?, V set-current-plot-pen "low"8 l- [: d4 s3 Q |2 L3 D9 W! I
plot count turtles with [color = red]
' z3 l: j3 F4 i! P1 R q& C/ W set-current-plot-pen "mid"! B% ~) o+ g0 s' k
plot count turtles with [color = yellow]# W5 M% ~7 ?& g, \2 Z( o! N% x
set-current-plot-pen "up"
+ `; d6 P: @; ^3 b9 L3 ]( E3 i1 e. n# o plot count turtles with [color = green]
. j# D8 H* @# X: Iend# M0 \& i. _' L+ r$ C
. n6 E( V; X, D0 R7 u
to update-class-histogram
: A+ M+ v7 ^$ H% o set-current-plot "Class Histogram"9 f( `2 w8 j( d" t/ ~; H5 p2 d- w
plot-pen-reset
* ?6 M5 z5 k, d$ {9 Z1 ~ set-plot-pen-color red
$ n: v- E( S& h+ z& s: g plot count turtles with [color = red]
+ b4 \: i" G1 g6 | set-plot-pen-color yellow
" v# u! a: {3 Y$ G5 j# y( { plot count turtles with [color = yellow]
. |$ G% F- H M) ] set-plot-pen-color green6 c, N( X: z$ v ^
plot count turtles with [color = green]
. ]( @$ {3 Q$ X3 o$ J0 ^: ` a9 ^end
" R7 q7 y: l5 t2 ^$ n+ hto update-lorenz-and-gini-plots8 s7 t1 B. k) G( S- E1 m! u. G
set-current-plot "Lorenz Curve"
+ }1 u9 W7 u6 h3 r3 T2 D0 c clear-plot- x* i9 d% Y( j6 P6 [3 y8 Z
p& u# K4 b4 D o: {1 W$ d, C set-current-plot-pen "equal"
% b/ u3 W* l6 A& w9 e2 e plot 0* D# o. w( |& Z8 h8 O: j5 J" R
plot 100
$ l4 C# g- [! g, |* o! X
$ ~: F3 _0 L* z0 _2 X. Q) g set-current-plot-pen "lorenz"
: @5 ]" f( w8 {7 ^ set-plot-pen-interval 100 / num-people
, q4 }0 A m. S6 Q: X plot 04 P6 y3 q2 W, V, l
' ~% j9 G8 r" O* M3 J$ X0 _6 U
let sorted-wealths sort [wealth] of turtles* c. H' ^3 _) Z3 E; s* m8 p' ~
let total-wealth sum sorted-wealths
0 V' W( @+ ?: w1 x let wealth-sum-so-far 0
! M/ I I! n5 S6 {5 N let index 0
1 V; \2 x, }8 R3 p4 B9 x let gini-index-reserve 0
9 u0 V i! s. A7 P F" H$ y$ h4 M7 S) b, b0 k* u/ s
repeat num-people [
. j/ |8 f6 S% P( `) I) |2 d& X' i set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
2 {8 ~& g( F- D+ q% S: o plot (wealth-sum-so-far / total-wealth) * 100
/ F1 V. f1 E) E9 Q& P; M set index (index + 1)4 H: e& c, d1 y
set gini-index-reserve+ _5 U! @* t" O' [0 |7 Y5 G! Q Q9 ^1 D
gini-index-reserve +4 j$ Y i" Q1 K7 r9 Q. r6 w* J
(index / num-people) -' d/ Z! u- B' q+ v: M7 ?7 c; l
(wealth-sum-so-far / total-wealth)! I4 ~1 @1 w/ n! \
]( |, M5 a8 I) O1 N- |
0 F- \* z D$ I* }2 z( e
set-current-plot "Gini-Index v. Time"
/ ?9 _! R8 F% _* X: k* m plot (gini-index-reserve / num-people) / area-of-equality-triangle" v8 E) W# c, O
end9 F1 G6 P$ F9 C6 m5 w: A! o+ o
to-report area-of-equality-triangle3 m7 _, S/ C1 Y" j3 f9 E# _; {
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( I3 q9 G! y9 r: ~, H3 G* R6 Jend |