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" Z' h5 b- Z) l! p0 r
globals
5 B a& S; T- y$ F# K4 }[
9 O& y# y. y$ D) @ max-grain
* @/ v. [! k* ]/ d* m
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4 D8 _, s! J4 N5 A) N* Y, b, B
patches-own! n$ S$ Y% |- @, L% l' X
[
: k& M E0 w7 O+ T! k6 j grain-here
9 F, y \- W- q$ y max-grain-here
3 S* X1 N8 B) c# p- J]
$ A; g! L* P b: m/ Z& v) Q9 d9 O/ M! o/ V
turtles-own
# X& `4 \2 P1 X; C G[
: I6 M& r7 Q; l; Z7 ` age
' A" C/ z: q( S* {1 Y* G7 ~0 s4 @ wealth : j$ I9 K8 F# @
life-expectancy $ p% a$ p* w5 C1 ]# F
metabolism
$ ~- Z" [6 l( R8 v0 @* j' c vision
, G6 b: u3 G! `) ]5 d! Q. E" Q inherited * p4 k* O: O4 S- X' P4 d. ^
]
' t, o, }5 f7 i1 c8 E3 l) }+ _( k r5 U- d: v# I" f6 G
+ ]! o- ]2 F& w" R, W- X7 F/ `5 bto setup
7 j" \3 f8 N! }& Q ca
' }& \$ u0 c& q7 B4 i5 s6 G set max-grain 50
% k g/ v4 P& W2 g- D& h# z z, x setup-patches( }& j; P. y& W4 I) p
setup-turtles
( }! V, ~0 n( ^8 x setup-plots- `2 Y U5 @+ x" W! A; g. v" g$ Y
update-plots
2 H" O9 B( E; q/ m5 y) ^end
% r f+ {+ N! oto setup-patches& q& ~, A! S/ J- ^7 `7 z7 {& t
ask patches
6 y$ W+ V; M+ {+ E0 M+ P; s2 A [ set max-grain-here 0. v x, s" P6 M0 l
if (random-float 100.0) <= percent-best-land
' V' X! n f0 [ [ set max-grain-here max-grain% s- i! @7 T2 k
set grain-here max-grain-here ] ]
' y* @$ a3 J4 Z( n repeat 5
6 d0 R! g) E1 A/ k4 j( Y& e2 Q! E [ ask patches with [max-grain-here != 0]! N$ e2 {+ c- q" m; p; y* ~
[ set grain-here max-grain-here ]
# x! B* E3 |( A; K: U Y' s diffuse grain-here 0.5 ]
0 A2 K- C) t4 P# k4 D* v X" W! T# V repeat 10
) ~8 e! [( n! t* T8 |- V [ diffuse grain-here 0.5] + K) }& h" o* b0 x) }" `, t t8 L
ask patches
) n; A- G g3 W [ set grain-here floor grain-here / A4 q6 A0 b# i0 @/ g
set max-grain-here grain-here
. d8 F( G; N* n% t/ [! b$ O9 p recolor-patch ]1 [$ x- p3 n4 c. R8 C
end
Y3 ^; S* T: I: b+ X, h/ W9 H8 Fto recolor-patch 3 g7 c4 {8 V6 d. D
set pcolor scale-color sky grain-here 0 max-grain- d9 X" Y$ W- n) N: u* B
end
: k- G: l) Y. nto setup-turtles" }8 A8 E# f, c" r* f0 y. F
set-default-shape turtles "person" q7 r: Y, U2 g
crt num-people
4 e* C1 {( F6 F [ move-to one-of patches
8 A$ {9 ]4 F3 S0 R set size 1.5 4 p4 `8 N9 y: |0 \: S. D. @
set-initial-turtle-vars-age
6 O: W5 U! E: Z1 C5 p set-initial-turtle-vars-wealth
) s+ V) l G+ s* N! T+ d6 e$ s set age random life-expectancy ]5 `/ u/ S6 w9 A( N3 V4 O# k
recolor-turtles
( ]: \2 p9 \ o% `6 E; fend
2 L3 D6 K' o. ]; H# |6 {& B
3 F3 W. ?. m! L5 U. F8 D; Y) rto set-initial-turtle-vars-age
* G$ k* m B, R5 V) Z let max-wealth max [wealth] of turtles% x- u2 W1 s" U. f: \6 T3 v1 n9 n
' H& Y6 W. s/ s* m. i ifelse (wealth <= max-wealth / 3)4 P* n" ^/ o) p4 H0 |: q
[ set color red 2 m# S% Y+ X: m2 @3 j
set age 0
% j* f/ D2 y! {. L! ?! i6 M2 \* H face one-of neighbors4 $ ]! a( Y, D& D
set life-expectancy life-expectancy-min +4 J& W3 u: u" @
random life-expectancy-max : `- L& ^3 w5 r+ U" [( A: Y6 x
set metabolism random 1 + metabolism-low# k: }; c" ]3 B' v% _9 `
set wealth metabolism + random 30 v" Y2 Z; s3 _# \
set vision 1 + random max-vision
9 W' r* w( x9 Z) n set wealth wealth + Wealth-inherited-low ]+ ?' U+ N: m3 W& k m
[ ifelse (wealth <= (max-wealth * 2 / 3))
: M2 [# x2 m( A& T+ H [ set color yellow ( e" U+ X3 Y6 E# u; a8 W" @+ \
set age 0
5 w" E, o+ Y; p face one-of neighbors4 7 k8 u, n' ^& J9 E/ q
set life-expectancy life-expectancy-min +
! h9 B$ s+ `, s2 J random life-expectancy-max + 1: m3 U( B( ?! p4 k
set metabolism 1 + random metabolism-mid
- f3 e$ s; f- i. `' J3 f set wealth metabolism + random 30
6 P# F4 a% X* v+ D! J* m R set vision 3 + random max-vision
3 H' @( Y0 a4 k% u* Q set wealth wealth + Wealth-inherited-mid]% U* M2 o+ T3 L$ @1 W: O
[ set color green
+ J/ Z9 p* d" q set age 04 _7 _* j3 a/ p7 O& l: w
face one-of neighbors4 2 S8 U8 D7 t2 |- m# n9 v, V; c# m
set life-expectancy life-expectancy-min +" {+ C! W. ^6 y; R! h6 j
random life-expectancy-max + 2- l# x9 o- k3 X N6 K
set metabolism 2 + random metabolism-up
0 X+ a5 K& i4 _ set wealth metabolism + random 30) R8 J: T/ A) i
set vision 3 + random max-vision. v# h8 n7 |# B
set wealth wealth + Wealth-inherited-up ] ]
' d- e* o( G5 c
. S% E4 e! t6 O9 m+ r- Aend' ?2 r# a$ J" k' l2 @/ z* y7 F
to set-initial-turtle-vars-wealth2 r$ U& ~ d/ b7 \" d7 b. H
let max-wealth max [wealth] of turtles
& B5 z- u& r1 Z* y" \( [+ r7 k set age 0: C' ~4 d ?1 R1 Q1 O
face one-of neighbors4
8 S( K1 C8 K4 w2 Z' f. r3 b set life-expectancy life-expectancy-min +$ h( w1 }6 h* f4 V0 j+ ]1 h1 U
random life-expectancy-max
* u& A9 I- ^# z$ v3 w& Z set metabolism 1 + random metabolism-up
; ~) O2 G7 \1 N' \( R set wealth metabolism + random 30
1 w B8 m$ e' X- G; u; k set vision 1 + random max-vision / f0 V& F; ~. m: u
end
2 Y) e3 f( H; w+ w* R: D' Gto redistribution
' T' f! S4 o, ?1 Ilet max-wealth max [wealth] of turtles) B, m' p" [1 `6 [
let min-wealth min [wealth] of turtles
# U) G. F) M+ Pif (wealth <= max-wealth / 3)
. y" [; H3 x' [+ i2 P+ s6 h. w0 d [set wealth wealth + Low-income-protection ]; Z K) Q) W; D9 N4 X3 `9 d! H& M E
end+ S- W8 F7 i9 Y" F# [
9 `# y7 W( x& z% m) i& n* zto recolor-turtles
- b* S: I# b# q- L3 D5 ^) G3 n7 m let max-wealth max [wealth] of turtles
& t; P: D5 C/ h8 b% e9 h' _# P ask turtles* D) P( E) n- z
[ ifelse (wealth <= max-wealth / 3)
5 p8 Y' m* u5 Z' {- J9 s [ set color red ]9 C: g7 C& F O/ O$ q6 c' K
[ ifelse (wealth <= (max-wealth * 2 / 3))2 R- Q: F, C% p
[ set color yellow ]2 W+ `" E, R, C4 M9 @
[ set color green ] ] ]
R3 C( }# ]9 P; @& A ask turtles [ifelse show-wealth?
7 n6 u+ k5 Q! V+ R [ set label wealth ]
- R) j6 Z* I0 `/ i$ _% w2 } [ set label "" ]]; ?9 P4 v4 y0 R! }- v, O: _/ s
end& I5 l& u: w4 a0 g) M( e6 T
# u+ F1 z8 O z+ C- z3 `: a* d
to go
7 c3 l; F' c0 H ask turtles5 \4 k4 f6 X6 n5 N( Y
[ turn-towards-grain ]
+ l4 y. K2 V: I9 r6 ^1 `* i harvest" [5 w4 w5 y( k" `" q7 C! v
ask turtles
) }( L: U: _4 |6 ]- j0 E+ g% J [ move-eat-age-die ]
+ J5 z5 d& D" w5 z( L/ ^ recolor-turtles
0 ]5 q# H2 x4 { if ticks mod grain-growth-interval = 0
, C. z0 d; y( K- T( q1 O [ ask patches [ grow-grain ] ]9 X0 C9 H0 \+ |1 p6 q& F
; _2 n' ~: F- P7 |
if ticks mod 11 = 03 D% E* K/ G! ^ m- f- k; _, j! n
[ask turtles! y1 e U0 e# l; S
[ redistribution ]]( |1 P. V s+ u9 W7 z
if ticks mod 5 = 0
# j- u% b I) Y [ask turtles
: O) r* L6 H! ?) K* a! } [ visions ]]# F! |: `9 R/ Q( B' s* t
tick
. l2 q M! n" n# a. H update-plots; F% x: j% m1 Y% J
end
; u+ I K. D+ L( n+ Q3 q0 x9 nto visions
- L. g! K" j$ c( S# x set vision vision + 1
% b4 {2 D6 B1 `- M! R0 \& M1 Nend
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7 r) g3 @( F' p8 U, ~4 n
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to turn-towards-grain
! {' ~* d( X( V. e; ?4 V% J. ]- p set heading 0
& c7 M2 t9 H) p- w let best-direction 0
& h, B+ u& J7 s/ N5 P f let best-amount grain-ahead5 S( b. G3 S3 ^
set heading 90
9 b% e. S, [0 M# Z6 {! ~. o( M- N6 ? if (grain-ahead > best-amount)
1 o% k7 {% Q5 V& u2 [4 n6 H2 G" b& b% w [ set best-direction 90
$ `& ^7 L( r$ [$ j, Y set best-amount grain-ahead ] w' P! Q2 s) S5 P
set heading 180
' o' Z: q& Q2 v3 K6 W if (grain-ahead > best-amount)
2 b; D8 h7 _3 \' f [ set best-direction 180
$ Y) e0 G+ W, R1 B set best-amount grain-ahead ]% h: e% o4 P+ P9 ~
set heading 270! |! Z/ w9 L; d( [
if (grain-ahead > best-amount)! T! Y. z* w ^5 Y! f" U
[ set best-direction 270
! h* L1 X6 J' `& v7 l set best-amount grain-ahead ]
9 R" ?* Y# B8 L3 T set heading best-direction# q! D: E8 m* P" Q6 y' `
end
( N H; j& @1 F+ D
% M$ v" K9 {. O
9 ?7 y% N6 A3 H- a, \# l1 h, xto-report grain-ahead * P! R! w6 ?9 H
let total 0# ]) A: I. z2 [( N( b
let how-far 1
" _1 `4 K8 N4 b9 G. d! ] repeat vision' L% v+ f4 o& N1 f
[ set total total + [grain-here] of patch-ahead how-far
; a3 | ]+ H$ Y& Z; I set how-far how-far + 1 ]
( E: P! I9 t4 S/ Z) g: A1 Q# u% W report total B7 ]6 U5 l" ?/ N) K; O7 G
end
0 V8 F2 R" O3 @( D7 G, ?" ^
7 e/ w: E+ V- Z( S E# V2 e( n0 [' Zto grow-grain
& i$ \! I! U: j" ~+ F9 U) L) B if (grain-here < max-grain-here)
' k/ ?. i" b9 `/ D% k [ set grain-here grain-here + num-grain-grown# y4 U8 v2 t: _/ E6 o5 L
if (grain-here > max-grain-here) 2 K: n3 f- \ \ _
[ set grain-here max-grain-here ]
6 y D! K2 p2 b% g8 r0 C) N% S% k9 [! B recolor-patch ]) `1 j1 l3 F7 X+ h
end
g% d2 O4 Q( rto harvest# ] i& b- m3 y& T2 c
ask turtles
7 g% z- c! O" D: }3 o' B [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
! h0 ^* g/ w9 ~: d& q ask turtles
) p: b q/ C& q' g2 @ [ set grain-here 0
- r0 y3 Q' \) H* X7 ^ recolor-patch ]
$ e8 b$ c% b6 P 5 S7 `: z2 _7 R Y: W( ]
end
' e* A( z2 R) f
0 ~% h G) W7 g. ~* y6 K+ n/ ?to move-eat-age-die 4 y1 j. E6 P" {: z5 F; R" t
fd 15 N) H" w2 ?' d' ^1 O) _1 r% A
set wealth (wealth - metabolism)
% i( ~* s1 C% M% v; z$ G8 ? set age (age + 1)9 W5 Y7 r% h2 @; [) ^4 y
if (age >= life-expectancy)
% o6 X$ j0 @$ |8 A2 U) n [ set-initial-turtle-vars-age ]6 N: w. B9 `% Q0 w: H! B
if (wealth < 0)# P% T5 o4 T* f6 O7 ^7 O$ ?7 B# q# |
[ set-initial-turtle-vars-wealth ]! l& X7 | H/ n( J! F
3 b& J* g h* @% T8 H- s9 F
end8 K- i Z) M) b& T
7 c* D3 K# ?+ j% u& c, `) y+ B+ x+ [5 L5 k5 X
to setup-plots
' h. D" C" o/ x- A set-current-plot "Class Plot"
7 `6 }0 d" I( r) ]+ K0 T set-plot-y-range 0 num-people5 M9 U. W3 M) M7 v u
set-current-plot "Class Histogram"
: V$ C$ @3 X! Y% t set-plot-y-range 0 num-people; x2 ~; @6 [! b- o) E+ A5 M) k+ k& B
end
4 t/ P3 a5 m, V# f N/ s4 g/ b5 b4 p7 t/ G+ \
to update-plots
2 ~: m% I+ }% M$ B& u- `" R update-class-plot
1 l) k- K7 A6 E, i# g update-class-histogram
8 a9 E7 A$ |& e/ q0 z- o update-lorenz-and-gini-plots9 k' P, A/ j7 u
end' J9 l3 q' p( h3 W
: l+ z! D* j& u& C5 z
to update-class-plot
+ | s; Y! c$ j set-current-plot "Class Plot"; v/ {+ R5 X" p2 ?( \6 y* z1 d
set-current-plot-pen "low"8 I7 Q+ ~' `4 @2 `8 T+ s! k/ ^
plot count turtles with [color = red]
/ O& ]! ~' ?; U2 O% R9 V8 m. W set-current-plot-pen "mid"
' X a& z0 n6 }6 p plot count turtles with [color = yellow]
) B; |8 T0 ]* O/ O3 m set-current-plot-pen "up"# ~2 ~4 l/ x! c
plot count turtles with [color = green]
' @9 {, u$ X, b# Nend3 Z6 `& r1 p, N4 ?6 ?
) T9 U9 P# a+ A4 b; w% }, C2 r/ E
to update-class-histogram3 F! |, }( U* `, C7 t, L
set-current-plot "Class Histogram"
v, k# K! @: w9 R+ J* t/ U) A" j4 z plot-pen-reset
. f! x4 ~4 S- w1 u# G: f& j! I7 Y; B set-plot-pen-color red3 @' \4 C+ z$ T( f1 Z
plot count turtles with [color = red]
; u) E/ y$ V5 R) c( d5 f* ?6 }3 r set-plot-pen-color yellow; W$ @( r- w4 V% e c
plot count turtles with [color = yellow]
$ Z+ t4 z% N' B set-plot-pen-color green
`* Y& D- [0 I$ P: K/ z plot count turtles with [color = green]
- h* {! s8 d$ e: s* Send9 w6 Q% E5 p+ {7 ]
to update-lorenz-and-gini-plots
% i9 `1 O* T' t+ t& M6 I' {/ L set-current-plot "Lorenz Curve"; [! w9 T: V3 T' ^6 M
clear-plot
- |3 @* n$ u. b( P Q& `, K1 r" J9 ^
set-current-plot-pen "equal"
7 Q' S* ~# W% c; ^7 a* g4 J plot 0
! t | b) n1 ` plot 100
6 }, I6 m2 ]/ W$ ?# [4 }0 N1 l; o1 K7 P$ X
set-current-plot-pen "lorenz"6 R, L# _2 ]" F, Z6 J1 Q, R
set-plot-pen-interval 100 / num-people9 M7 }+ b$ {+ s3 z
plot 0" G; v4 f0 F) l# x& M; y! `
: g3 j# f( T+ M; }
let sorted-wealths sort [wealth] of turtles
; C6 z N" g/ s8 S ] let total-wealth sum sorted-wealths
' P9 q, n* {4 I& N let wealth-sum-so-far 0% _1 C8 |# Z4 p/ ~* V3 U
let index 03 G; g6 ~! E+ d! X5 z* ?
let gini-index-reserve 0
. x' |9 M. H/ \7 y
0 ~, x% f1 G& B$ Y repeat num-people [8 p. F" ] K. ]
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ ]6 {" d4 F+ \
plot (wealth-sum-so-far / total-wealth) * 100
! ~" N3 q& W4 |- \* s set index (index + 1)! @6 O9 Z, A5 F
set gini-index-reserve
* d! \5 H; n! ~$ \& } gini-index-reserve +
' R+ _% n* S3 ` (index / num-people) -/ @4 s8 U2 f7 F3 {
(wealth-sum-so-far / total-wealth)
! G& u8 E% r. P, Y* i; `2 D ]( G' k. w! M! c3 m* _& g1 `
6 Q; T6 m4 i$ q5 H8 a2 l
set-current-plot "Gini-Index v. Time"
0 p- H& C) T; ]9 Y+ B1 a plot (gini-index-reserve / num-people) / area-of-equality-triangle
' w( `7 |) w: \2 X( bend
Q) y X! Z/ o9 Ito-report area-of-equality-triangle
0 A* Q5 M; h$ f, R* M report (num-people * (num-people - 1) / 2) / (num-people ^ 2): ], m% ~9 R3 F
end |