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
4 }. M3 f( Q$ z1 P7 a8 ]6 n8 Y" Vglobals
: L8 ^. ~+ G* y' v3 q[
! a# h( u5 ~0 B max-grain
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patches-own
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$ ^( }/ a7 l* u; }- C" m5 i grain-here : }7 r* I. }; x4 K
max-grain-here 1 u" ? v/ v, I6 K! ~1 d. K" `) z
]
$ w$ F( z; h' @0 m2 v) k! v# ^/ _+ ^/ e7 B8 Z
turtles-own
$ c" e) A+ }* N[
( n- m* Y1 P0 R3 v6 ?$ C& } age 4 l4 i! {" a# V# T
wealth
* t8 G& h/ |* R. h life-expectancy
( s+ o% N1 V# z! B* r metabolism
( r6 x. X. a- U" U& S4 N6 @5 k5 @ vision
+ Q( v( ^* a& a0 ~6 ? inherited
- {# U) ?( O9 r; []
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7 G' z) _7 b& @ f. O% Q5 \! t
to setup
+ Q* n: G. M* g, X) d: }7 z ca8 n8 f$ ]/ W8 y
set max-grain 50
* {. ?5 q/ k) @ setup-patches
0 |1 M) i+ ?0 W3 g+ M( O C | setup-turtles
) f& L" `0 a( Z5 \9 w setup-plots
3 O M7 l2 k3 U$ Y update-plots
1 O8 R( b* Z* Y4 n" l( W6 o. Q7 S( e6 tend# f: u9 I% q$ j) g5 R" u
to setup-patches& J3 U5 o4 ]1 G+ ]
ask patches
$ Q) N. I# {& F; e [ set max-grain-here 0
" @* Y% {; j; @$ S if (random-float 100.0) <= percent-best-land
5 l8 c. C. m+ N0 {0 v1 q [ set max-grain-here max-grain
* h) r, i/ O6 g set grain-here max-grain-here ] ]
( Q4 j3 E& N) b0 ^7 S& C repeat 5
: v2 X! U/ x( a' e [ ask patches with [max-grain-here != 0]
: p: A5 @/ i$ [- M3 B# E. ] [ set grain-here max-grain-here ]+ l) F$ t$ b& c1 A2 [, z1 Z" X/ }
diffuse grain-here 0.5 ]
5 I* a. l# T0 x8 L1 G repeat 10
9 Q' F! r' ?6 M* b4 W [ diffuse grain-here 0.5]
/ ?% `/ P& a! n7 E4 { ask patches: M5 |, q- _/ y& n' Y2 K
[ set grain-here floor grain-here
8 R6 T2 k l& Y' Z4 y1 Q set max-grain-here grain-here
$ l( F: i+ ?9 z7 h- v5 Z recolor-patch ]. u2 n7 u# C% q, y# z6 R% {
end
" Q( R- A* y6 d% {% fto recolor-patch 8 E) O0 d; K- I1 @" F
set pcolor scale-color sky grain-here 0 max-grain$ D' `1 U. |7 x! I+ O- J2 B
end
+ M8 l* m) d* p. J4 {* |; D0 |1 uto setup-turtles$ m6 Q' b( { d1 a8 U0 ]
set-default-shape turtles "person"% T1 w. ? X W3 Q" @& z( Z9 f7 e
crt num-people) Q# S0 s. \/ O, K
[ move-to one-of patches
0 T" m o" S8 s7 A! E; ]/ T set size 1.5
( g+ G5 x8 C# r2 m7 A& a set-initial-turtle-vars-age X1 w- t, }8 {9 A7 V
set-initial-turtle-vars-wealth
1 j, L2 Z! R2 q* F* d set age random life-expectancy ]. t' U+ a$ i; \( k' y' g4 q
recolor-turtles3 |( ]4 R' u7 B' b. t) L
end
& N( e x) _7 e3 s
& V4 J2 Z+ P4 z+ b! Y% S& J( c8 Hto set-initial-turtle-vars-age
5 O0 W, ]7 m5 {% _! o' c+ w2 d let max-wealth max [wealth] of turtles
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ifelse (wealth <= max-wealth / 3)
- V [) _+ C5 J6 S; I' ^6 Y% n% ]/ Y9 q [ set color red
/ ^. s: l& z1 ?& v* P5 L- F/ V8 f2 i set age 0. h4 C" @- c- n9 c; H
face one-of neighbors4 ) g6 c r' v. m/ V7 s% P0 }
set life-expectancy life-expectancy-min +1 _: t# \0 s) V% t, ]# T
random life-expectancy-max ( I1 c$ d" D( N
set metabolism random 1 + metabolism-low3 P. c3 S9 y6 `5 P1 b* P
set wealth metabolism + random 30# b/ I6 I/ }5 t8 w9 u) L1 x. b
set vision 1 + random max-vision* \5 u6 u$ v: }" r* @* i- t" [
set wealth wealth + Wealth-inherited-low ]3 g$ K$ |2 o1 [; d/ `4 T6 n8 |
[ ifelse (wealth <= (max-wealth * 2 / 3))0 Z: g& H2 [. Y2 n. \
[ set color yellow
9 \: S7 y' i3 O! |, d9 ?2 x set age 0: D: L/ W( S" m
face one-of neighbors4 $ i3 j( z) L3 n: J, o3 L
set life-expectancy life-expectancy-min +8 v, @" o5 X, D# R1 Y# O6 L* i
random life-expectancy-max + 1) |$ A, h/ j) {7 b4 h
set metabolism 1 + random metabolism-mid
% w- Y" F& I( ~ set wealth metabolism + random 304 L; G5 X! A- c
set vision 3 + random max-vision
& \2 I: f" K; e! f set wealth wealth + Wealth-inherited-mid]# |/ o6 ~) r7 C' D+ L: J
[ set color green
: p0 H: m! @& t U' Y) G; x" D set age 0! w, j( |. m7 N1 Y* r
face one-of neighbors4
0 l( K( E" y$ K& ~! o/ y. t; \ set life-expectancy life-expectancy-min + ^) ], c2 C( k
random life-expectancy-max + 24 R7 x& G: K- B/ A1 T
set metabolism 2 + random metabolism-up( f6 Z1 Y2 A0 Q, Q/ h. ^
set wealth metabolism + random 303 @% p( { S) x9 T# r5 W
set vision 3 + random max-vision C. _# C$ x$ k5 F9 q
set wealth wealth + Wealth-inherited-up ] ] $ p; h9 l$ ?9 P
0 b2 N/ r8 S7 b4 t1 [
end3 L9 E5 ?$ i" } @0 z
to set-initial-turtle-vars-wealth* Z) x' e3 L! R; g& ?$ q% c
let max-wealth max [wealth] of turtles
# D4 t! m% T( f9 S" w, l( [- J5 w set age 0
: X4 q: A% _# x$ G6 g0 s face one-of neighbors4 8 v, m# X' N( ^7 c
set life-expectancy life-expectancy-min +
5 U v0 J9 R0 `! m2 d. w random life-expectancy-max * Z: p; _7 c5 c3 ~2 S& {
set metabolism 1 + random metabolism-up d9 `0 k4 @, O" k& ]; t
set wealth metabolism + random 30
, h6 [1 B/ {% ~% H' W4 W set vision 1 + random max-vision
8 Y" H4 o6 S+ J; z& R$ dend1 C. e! H& X1 R
to redistribution
5 j8 h: I# V' W+ Q& h6 u( hlet max-wealth max [wealth] of turtles9 N1 y/ Z V0 G0 Y: w3 E, w
let min-wealth min [wealth] of turtles8 Z. U/ ?* ?, X5 w2 n1 d7 _
if (wealth <= max-wealth / 3)
0 _, k6 B8 }" g8 m# @ [set wealth wealth + Low-income-protection ]4 g- C4 D$ D6 T# V. `
end, p5 z" }/ x5 w# _7 Q, Y
, V. t0 {& C' I; E: O) s" q# lto recolor-turtles
2 j( G) R+ ~9 E% @# K. } let max-wealth max [wealth] of turtles( t+ Y# E* q+ V& M3 o% s
ask turtles
# G8 `4 a4 j: R! N0 F) x* ?, k [ ifelse (wealth <= max-wealth / 3)
8 Q7 ^5 k0 E5 l" H [ set color red ]/ z4 g" b& E* K, j% u4 b6 W5 y: B5 l, _
[ ifelse (wealth <= (max-wealth * 2 / 3))1 \, p4 j% Z4 _: N' z6 G
[ set color yellow ]1 X( }1 J; X* @& v. a
[ set color green ] ] ], d, C, Y5 t( M# b$ A
ask turtles [ifelse show-wealth?' D6 f) q7 W+ E
[ set label wealth ]
4 b) S5 |6 k2 u+ T1 N ]6 M [ set label "" ]]( O3 W3 l( k+ s% f) Z- b
end' S/ ^8 A9 a- F& G& a, N) ?0 X- H
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to go
' c {8 X* ]4 F- Q. ?* u6 ?6 z ask turtles
2 b6 A& t) S! \: G$ C [ turn-towards-grain ] , c' X! K- F/ K
harvest0 @" @6 X9 Q6 `! w
ask turtles
) g+ ]! T. F2 U0 z6 }* \ [ move-eat-age-die ] H& L& i' C# _! P- v
recolor-turtles
3 |9 w' Q" K" T+ B0 w# a5 r if ticks mod grain-growth-interval = 0; _2 l. V/ _- T9 N& G; C* E% S% S
[ ask patches [ grow-grain ] ]! }) a% U7 ~# P4 B) |
& ~6 N* O% O- X5 c9 i
if ticks mod 11 = 0
4 n l; j, e7 G) O0 k [ask turtles
3 R9 k* v! j" w4 I* i+ f1 | [ redistribution ]]# X; Q7 p0 R$ c' ~
if ticks mod 5 = 0
6 ^: Z8 u6 r* s+ S! ` [ask turtles7 G5 d! P j' I v+ b7 R2 y2 Z
[ visions ]]
' K8 G4 ^ N* n' ?1 ^+ B$ M$ c tick+ v' _2 E' M1 @# ?# v2 T
update-plots; S: F9 V4 p- W3 W( b, |* G
end: I6 u3 u0 c, `: u1 r" q3 M
to visions
! Q5 e+ P- E8 N' t set vision vision + 1 7 u) J% Z) L/ w% Q3 i
end7 K# d' [1 i1 T) u2 e
j4 C" `, e0 O( S: J1 a* B, H/ l
( P5 L8 I( M( w& [* x! \7 d9 k3 |9 H/ n# H0 M$ n ^, P$ m6 G
to turn-towards-grain
5 l5 D+ @) r" b" t. w set heading 06 X+ |9 k9 O' B1 F# q4 D2 R5 Y
let best-direction 0; j5 Y" t8 B* r2 H2 s/ V
let best-amount grain-ahead
Z6 X8 W7 ~ F8 j' o set heading 90
p* T" R+ _2 A7 G( }4 o if (grain-ahead > best-amount) k6 `. a$ y' _; J J4 X- I
[ set best-direction 90- |' a5 \/ [8 e$ f0 u! v3 p) ~6 L
set best-amount grain-ahead ]
7 {/ M- L* S2 `% f' i) \& L, C& p set heading 1808 b; |. z! p& N$ t
if (grain-ahead > best-amount)7 M9 J. @3 g* X, g' x: N* _. L
[ set best-direction 180" y+ T! u$ G2 R
set best-amount grain-ahead ]# O1 X4 v( I) \2 A3 f, p2 C6 R
set heading 270
/ y8 V% u* T1 G6 ~: D6 L if (grain-ahead > best-amount)
, U1 N+ [+ Y7 X2 d [ set best-direction 270
4 L: k" K, l. J, R( D6 G set best-amount grain-ahead ], ]9 R7 {+ G- V* y& F
set heading best-direction
! @) R/ Q% Y/ k# H% Q" `9 \% B5 yend
! P3 \) D: K0 F5 w* x; ]: P6 [3 f
/ r+ `* {5 ^* w+ l% t% V2 f
to-report grain-ahead
: u9 r. l% F8 u% ~& U let total 0
* X" ?: Q, `3 h. P8 k; V let how-far 1
" y8 K6 L! x; q/ r/ | repeat vision- k: U7 k: ^: h$ a( x4 p" u# L
[ set total total + [grain-here] of patch-ahead how-far% e8 C5 ]+ l2 Y6 H/ U
set how-far how-far + 1 ], D4 ^0 d& m; p. W
report total6 i/ p& [8 L; o& N6 W
end
t5 |) o3 c! L9 T* M$ U0 F, D# H( ^5 T! M
to grow-grain 3 F$ i8 t- A+ Z# i$ g% `! b
if (grain-here < max-grain-here)! z7 p6 m" u% Z4 u* g
[ set grain-here grain-here + num-grain-grown
! U/ U2 v, N) I2 O M {/ c, f) X7 } if (grain-here > max-grain-here) ' R! ^) ^4 q, X
[ set grain-here max-grain-here ]
5 U+ Y% @ F6 D& n7 {* P recolor-patch ]+ T+ K! b7 b/ v, F% O* S) R& B
end9 H5 Z. B; e. t5 y; E
to harvest Y$ f: X7 \& d+ K* r7 [3 l; m
ask turtles
+ z( h+ \' w `6 |7 C6 x [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
% w5 I: N6 k4 S0 W- o+ E ask turtles3 A X: @* l( Q; s4 m: f
[ set grain-here 0
/ A, h2 X7 g4 X recolor-patch ]
% E' Q9 I' x! G" ] ) s! m# G. ^2 L; F, k
end2 X4 r( k2 }& b k& H# O" Y
; c5 w9 B# k) Zto move-eat-age-die
8 \+ d, E3 q6 R1 \7 V9 C fd 1
1 H& Y/ s: \- c7 X set wealth (wealth - metabolism)$ H2 K. Y; N+ | v* N
set age (age + 1)
+ l Q1 J/ f @0 f' h if (age >= life-expectancy)
% b+ i/ D+ G D* K [ set-initial-turtle-vars-age ]
& b- G# N" F( ^- k if (wealth < 0)
/ S7 b% y2 [9 e' U, e8 ]! u [ set-initial-turtle-vars-wealth ]
$ ?. }# ^8 w. h- l' W8 ~ B
0 ^ M- b- ^, u7 z; R; hend/ A) E+ s! Z4 t% R g
: B2 c" z# Y/ C( l y+ Z% l6 a9 W, ?- L( c
to setup-plots
8 E8 ~$ v$ y8 ?6 P: d6 c( U set-current-plot "Class Plot"6 o& H4 {4 i$ P- Z
set-plot-y-range 0 num-people
5 H4 R5 z+ N3 d% ~: \6 k set-current-plot "Class Histogram") e3 a# n- O) \+ s- Y
set-plot-y-range 0 num-people n& A$ @% Z9 A2 r8 d
end3 J* P- a9 G$ H" ~5 D: F
* N3 b. z3 B0 D3 D: H! e
to update-plots
; `! z' [8 q1 z update-class-plot, U; ~1 C( H8 u2 _* g4 l
update-class-histogram; X1 q6 l8 Q; Z8 u2 x; z- X
update-lorenz-and-gini-plots
7 E4 Q$ ]8 z5 o( W, l( c1 eend
J$ d, }( \# a3 A* y( O7 d+ C1 I% G! a+ Q# d+ ?
to update-class-plot2 y; F4 [( a' b
set-current-plot "Class Plot"
8 @( |: G0 L4 T% K( n set-current-plot-pen "low"$ Q6 v3 b" e4 m4 E
plot count turtles with [color = red]
+ l1 {, o$ G0 L2 [9 T8 X) {9 d set-current-plot-pen "mid"
1 u3 F9 R( h& O m: K* d plot count turtles with [color = yellow]
+ t7 m1 l( }; p, e set-current-plot-pen "up"
8 `: D" a7 v/ `& y, z plot count turtles with [color = green]3 L; s% l: H5 a$ V- c4 a3 E
end
3 k& ?. o: a2 ]' F1 D+ e& b7 Y9 R
to update-class-histogram
- L8 s( D0 e4 w& ] set-current-plot "Class Histogram"! C! P- w0 H8 }9 [+ i
plot-pen-reset
( [$ k+ _( w7 Y$ S4 h2 m set-plot-pen-color red
4 C1 u% o+ u, r) ^: _+ l plot count turtles with [color = red]
0 ^) T2 h4 X+ @ set-plot-pen-color yellow6 ~8 S0 p+ K) W: A7 C3 f; Q
plot count turtles with [color = yellow]- S+ X* Q$ r! t5 ]
set-plot-pen-color green
1 f4 `9 q. s; Q) \9 Z; F plot count turtles with [color = green]7 u4 {% q. k: V2 K
end8 b5 [! W |3 m- C/ b4 T" }
to update-lorenz-and-gini-plots
# S2 f& A" e7 j- S set-current-plot "Lorenz Curve"$ _; |7 a' r3 S+ h+ y. e
clear-plot
5 Q7 f) M: G" U& }! ~
6 L4 t3 ^, Y1 o9 T0 t, \! [9 ] set-current-plot-pen "equal"
* I0 J( u) i$ A/ W8 Y3 N( e0 x( s9 L0 A plot 08 L9 K2 n! P) L- u
plot 100
3 }; X. E/ s$ H( R2 Q+ ]/ L l- e; \- ^& T$ }
set-current-plot-pen "lorenz"
% A7 c: M" C% G set-plot-pen-interval 100 / num-people# ^2 g n, O- O5 f/ w) b
plot 0
$ \. ^2 z% B* M! M4 k4 ^1 u$ Z7 l" A0 P% t K
let sorted-wealths sort [wealth] of turtles9 y [: M& C3 m1 l: F
let total-wealth sum sorted-wealths- U/ B- ~- U, u
let wealth-sum-so-far 0
$ J W5 C0 b3 {9 G" ~8 x let index 0, Q4 k, Z% C% Z/ H+ q9 x
let gini-index-reserve 0% i: i6 T7 j- Q* e$ o
0 E; K! ], C: e+ t8 S repeat num-people [
8 ~1 P. I* P) {! \ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
1 X- q. a8 o _ plot (wealth-sum-so-far / total-wealth) * 100
' N' n2 t1 S# [9 s; b7 h& C set index (index + 1) \: w T; P3 r l5 r+ d
set gini-index-reserve
) ]7 }8 i/ f6 @9 m gini-index-reserve +
, M- P/ }" }- c4 W% L0 G (index / num-people) -
" M, V- E) z$ O* {7 Y (wealth-sum-so-far / total-wealth); [2 R5 h, h0 Z* f, s
]/ Y6 t) c6 j& c: W/ s# j4 ?% _
* F& I0 |2 e# r2 F set-current-plot "Gini-Index v. Time"4 a- o/ V8 F& J. p* {# Y) W
plot (gini-index-reserve / num-people) / area-of-equality-triangle8 p% G \0 K) v: U& a9 |
end" Q5 H3 N% N; w. k8 E' k
to-report area-of-equality-triangle
. B+ P4 c( g6 L# @/ } report (num-people * (num-people - 1) / 2) / (num-people ^ 2); s9 {2 z2 X- e/ A) \2 ?$ h) f5 ?
end |