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' M U: F+ Y, t) N( }5 M4 f
globals
3 k. d3 X" @7 c, o9 r[; a2 N$ ~& ~6 l) g5 I2 q
max-grain
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9 {3 g( C: c. F6 S" \/ j j! C9 r+ T]% H- Q+ v: P s, P
8 A8 [$ | [% K: ~6 W: @- R8 z
patches-own6 {5 k1 C- a, S, p
[* N! n) {4 R* h
grain-here " d. V# J* T. \5 y; a* |0 A& e
max-grain-here
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% R/ r: [ t/ @6 S7 K8 I8 l1 iturtles-own! n5 G+ j8 r4 J2 `, m1 W0 U
[! y' C: u; ~$ W# m1 a- K( q; n7 k) s$ o
age
- \+ ~. v- P' X2 t/ T3 }" H wealth
E/ }. {& F, Q; v life-expectancy $ u- O3 E( B( W1 n+ O+ K- b
metabolism " P( c6 \) f8 o6 d3 E4 E* n
vision
1 ]' |. P6 F- ^5 B3 h) L inherited
% b+ U' e) z `* ~]- K7 S) W& v" v
& x# u1 x1 t: P8 X. T
5 n, ]9 k- m- J, E+ d" T- w3 ato setup
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set max-grain 50
* f& {" h1 Z# b, P# W% }; ^ setup-patches
! Q% L; |0 B* h# }0 N$ m setup-turtles
- x7 F, d# T1 u# i b y setup-plots
! ?4 j7 \6 @$ e" L, h, i7 d7 h update-plots
" q; M8 Y2 x% C. U3 |; h( oend! V4 ?2 o4 G9 Q% }
to setup-patches( i; [# s* x7 c% |# s
ask patches
% \% q6 k4 f' c' `8 Q [ set max-grain-here 0
5 m# R/ l) r$ t: r# Q6 Y" r1 N if (random-float 100.0) <= percent-best-land
" ^9 H. Z: D4 [3 s4 c5 R+ u [ set max-grain-here max-grain
( H' A% Z2 J+ S$ l! l: m set grain-here max-grain-here ] ]
3 @; R, [/ h& T+ I3 i3 [8 m: c/ D0 } repeat 5
4 [& }$ R9 [) V- _ [ ask patches with [max-grain-here != 0]& p V2 ^8 {$ _6 _- R
[ set grain-here max-grain-here ]
% i ^$ W9 t! L5 a diffuse grain-here 0.5 ]
* z: ~$ x1 T F, D& j! b8 S; O repeat 10
& l$ N a& r8 n% t5 y6 C [ diffuse grain-here 0.5]
8 ?+ g% P6 l2 g* f6 k ask patches
4 g9 \0 F. U; b. ~% b7 f; n* d [ set grain-here floor grain-here " H: X/ c* ^% q4 l4 J5 O$ k
set max-grain-here grain-here
5 Z& Q, |+ T4 e6 y recolor-patch ]
c3 Y! p8 l5 N- s% _8 [0 s' d9 Vend
t2 W; C4 Y; u! _2 b/ t2 k5 ^7 }to recolor-patch # [7 Y$ A5 v% V+ g
set pcolor scale-color sky grain-here 0 max-grain
N! m6 e b" ~0 Jend
) n; X+ H- [0 B4 nto setup-turtles' Q5 }4 x4 _7 d6 \) d/ }! B
set-default-shape turtles "person"
+ t( X- ?* \) B' J! ]) h: ` crt num-people1 G" Z. D( X6 q, b! C( O/ u
[ move-to one-of patches : C- Q( ~( c& E9 Q
set size 1.5 , Z3 }& X$ E# x) \6 y! m
set-initial-turtle-vars-age
5 \1 L6 P% m B! U) A7 y set-initial-turtle-vars-wealth$ q1 L: F4 W" W% t+ F3 ~. t1 W
set age random life-expectancy ]
6 R! P/ U, h! t% } recolor-turtles4 g8 M! M. i. T
end+ v0 ~2 [1 K$ L3 t" M0 K( n
/ n& J/ H7 \$ p' e+ \to set-initial-turtle-vars-age
" v( d- _ x" W9 k let max-wealth max [wealth] of turtles
$ a, L9 L+ i. w! |% \
% a' `+ y, F6 n" f" m% P ifelse (wealth <= max-wealth / 3)
- g8 k% H$ }! C: m5 d8 f o [ set color red
* M# j, b2 ?6 \" L5 @+ A set age 0
8 ?# Y0 f: c) l face one-of neighbors4 . T: G# @7 _& m7 c$ }- T
set life-expectancy life-expectancy-min +
) D6 N5 n- f/ r+ _2 t+ [& ` random life-expectancy-max % T8 `$ q9 W7 |0 G/ F- _- _* w
set metabolism random 1 + metabolism-low
+ a; |- \6 ]. c9 k+ I set wealth metabolism + random 30
' L% K1 b& u+ L8 A! @$ K( D8 p7 Z/ s set vision 1 + random max-vision
4 k* b$ K1 I' V% R- ] set wealth wealth + Wealth-inherited-low ]
$ `# `. \+ { T: T" j* F) T5 \. C- Q [ ifelse (wealth <= (max-wealth * 2 / 3))
% W" U# N- ?/ f9 l [ set color yellow 3 g) x$ w+ S2 y/ W6 i: A; [9 j
set age 04 G! z7 h( t" w8 Y: X8 d. E
face one-of neighbors4
' K. x1 S; j* f7 J" ]8 E set life-expectancy life-expectancy-min +' o4 V" n1 Y1 e
random life-expectancy-max + 1
6 r, m5 L" D. _2 x/ E set metabolism 1 + random metabolism-mid5 t! c4 }' V2 x0 L9 y9 J
set wealth metabolism + random 30
" y* C, K3 o7 X0 L1 }. B+ d) O: A' v* o2 } set vision 3 + random max-vision
" c$ c0 j; c, N( ^. H4 h6 I5 I set wealth wealth + Wealth-inherited-mid]+ _. G4 Y7 G" m% q
[ set color green . \! u" {& ?! [& @' `' y x0 Y
set age 0
5 d2 q; x9 W1 Y/ t. s7 H5 t8 w face one-of neighbors4 . B# m& U' r- p3 J5 x$ R# d
set life-expectancy life-expectancy-min +, J) K& t8 @) s1 A+ X
random life-expectancy-max + 2
% {/ b6 n1 B9 F( y) L) j$ | set metabolism 2 + random metabolism-up, u5 L# J3 k; b0 f- T0 x$ M! s
set wealth metabolism + random 30
0 v7 I6 q( |' T c- n" ` set vision 3 + random max-vision2 r+ A! I% _6 w5 P) [/ Q/ \' t8 Q
set wealth wealth + Wealth-inherited-up ] ] ; J* s7 L+ L" L, }* y u: d7 L% S
6 v9 n8 Q/ v- M9 J+ o3 nend0 B! T4 G, l! [5 |
to set-initial-turtle-vars-wealth
, L* H9 U+ P+ H" W let max-wealth max [wealth] of turtles. P: ]# K7 B' t5 a
set age 0* A! K; {( t7 U" l6 t
face one-of neighbors4 * W! L; o( ?9 j# _/ p H
set life-expectancy life-expectancy-min +, ~1 O) [( f2 I
random life-expectancy-max
/ o- ^' {& p2 C* u set metabolism 1 + random metabolism-up1 o, H* X6 ?; n. I) C1 ^
set wealth metabolism + random 30
- i, ~6 F) n3 J$ ^* p set vision 1 + random max-vision 6 j5 I- q$ R) V) d
end* r: g" z! K/ q. \
to redistribution
$ ~8 J% p, S8 z' r6 t Q0 P! ^let max-wealth max [wealth] of turtles2 ]1 t, ]/ f* [8 @0 c
let min-wealth min [wealth] of turtles" a+ x) u" m" D; e# @8 W
if (wealth <= max-wealth / 3); A/ C; c7 M) @0 M3 C0 }! V
[set wealth wealth + Low-income-protection ]0 u4 `1 f/ v4 \' u% y6 G
end
! S' W% K8 R f' c. l + O; l. u; Y- P v w
to recolor-turtles) S/ w+ I: Z2 f3 T
let max-wealth max [wealth] of turtles
$ |, L' t7 c! D i2 f ask turtles
% d- g( s% H, Y/ ^ [ ifelse (wealth <= max-wealth / 3)
. _6 j2 Z) I5 j/ Y# K. h$ t+ [, z% j8 Q [ set color red ]$ j" P) n6 Z5 }1 W$ n# c' O
[ ifelse (wealth <= (max-wealth * 2 / 3))
4 I% [ N& Z3 }; W, e# x [ set color yellow ]
+ p" P1 j4 X2 }6 @: V! [' G [ set color green ] ] ]
$ k; ~ u$ f' L D ask turtles [ifelse show-wealth?8 f0 d7 M( u7 X" d% f3 n P8 S
[ set label wealth ]" b1 B. I) F6 z5 Y3 W8 L( I7 I9 R
[ set label "" ]]( g2 T/ Q7 Y0 M. D8 f0 j# k/ ?
end
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to go w& x8 B1 m/ n1 X- k
ask turtles
% [' p0 ^6 Q' c4 R! m/ l [ turn-towards-grain ]
' g6 i, r3 Z8 h! R9 t3 I9 s harvest
& G2 {, z$ N6 Q) [; t+ a ask turtles3 ~6 X& Y! D2 w! \* G& q
[ move-eat-age-die ]
3 R; @# W- R$ C) F6 w2 E recolor-turtles
" d% J m+ }, e' n* N9 D if ticks mod grain-growth-interval = 0
i8 \6 r) Z) t [ ask patches [ grow-grain ] ]* D& ^# E. S' d: E. M
) n0 R/ n: f3 i8 b( y2 Z2 W
if ticks mod 11 = 0
& s6 X; b; n, E! p+ Z2 i) U5 t [ask turtles
! G& A; i" t; c1 u g4 P# w [ redistribution ]]: t* b- E u! i% d
if ticks mod 5 = 0/ p+ }8 |# v* T
[ask turtles
/ T0 k8 K0 K6 \6 |1 _ [ visions ]] _. V( a2 @8 }4 S* w- d
tick4 s5 b/ u+ m" }
update-plots" \ c$ E& N; T% u2 Z
end
- J8 v2 b3 J/ }- O" j, dto visions
0 w. A, g D6 b4 F X set vision vision + 1
% N& y% q* T2 m* R, c0 f9 D4 Vend
& U; t* M; M' v3 {
7 [: o0 r0 s; w4 @5 i' ~5 h6 Y+ {2 |# \6 j7 W0 X5 U1 b9 s+ X/ v
6 \' I8 T R) \' F: O: s3 o5 J: Cto turn-towards-grain
; ~; \# [4 \0 [; Z) I g, S set heading 0- E6 m) ?) y9 ^9 @7 e, _! N
let best-direction 0, u0 ^* @4 w5 H( t! P s
let best-amount grain-ahead/ R }6 O+ Q2 M: j
set heading 90; A. h4 {1 E% Z. S3 @( F
if (grain-ahead > best-amount)
8 t6 Z. J- i$ c9 I [ set best-direction 90
8 e5 `6 S8 [4 ~, J v8 P, @, f set best-amount grain-ahead ]# g2 x0 D1 x. l9 j6 k% J% @0 j) C, p
set heading 180% u8 j* K' s7 Y3 H
if (grain-ahead > best-amount)4 N# q$ l1 u2 G. e9 O, f% V
[ set best-direction 180
# W! f" f7 k* a set best-amount grain-ahead ]
$ q: B! ~& M& `2 U! P set heading 270
9 D$ G+ b/ g* n5 ?" ~) i/ g if (grain-ahead > best-amount)
( s2 N! U/ _% F1 i- g [ set best-direction 270
, c! L- F( \: O6 h set best-amount grain-ahead ]! c5 w8 X9 B' R* c
set heading best-direction
- U6 O8 P/ E0 @2 {" c: v. Send
6 l* c1 ?) r1 s0 G& z3 x( ~; } y6 F* V8 F
* Z- T* M; ~, n$ y+ C* E
to-report grain-ahead ( l7 {+ J; v7 a( L3 s
let total 0
3 ]. x0 j0 U6 U let how-far 1% A( p# }- ^. x8 i/ v& {6 l0 G
repeat vision4 P2 E ~; n R4 |
[ set total total + [grain-here] of patch-ahead how-far
# N% e, ]+ H3 q7 S- f2 `7 S8 K$ ] set how-far how-far + 1 ]- ~( m' M- T6 z
report total6 `$ p: l. v2 u4 x: e; {0 z
end, _, ?! e: T3 J( T
: n2 q2 d. @, w4 k. Pto grow-grain # d, G( m4 p5 y$ V
if (grain-here < max-grain-here)1 R0 V! J" n! K7 m! c
[ set grain-here grain-here + num-grain-grown7 u% u3 E+ [3 ~# R7 {' A, V" T
if (grain-here > max-grain-here)
* L# W! k8 T% J; y/ a$ K2 y+ I) U [ set grain-here max-grain-here ]
, D; m' U# k, z5 b recolor-patch ]8 v% J% M3 x2 ^! C4 ? U
end5 X- m% N* D1 {8 x: i; a+ ]4 R- ]% @
to harvest$ |: n. ]' v* d
ask turtles
. m! l; ~( {7 l4 \0 g [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- ^5 L& v# S/ S* [4 p ask turtles b% @# M2 h0 r( T5 g
[ set grain-here 0
* t8 D8 H# }3 Z; E4 X! \4 d7 K recolor-patch ]
- r" J( {8 s. I1 Q ! D3 b# H% y- @0 r
end) r7 K$ k2 U+ L! n. B5 _
! c* {& ?$ j& K, {" X
to move-eat-age-die , {7 w0 ^" y% W. I" P) b
fd 1
8 u& F; y; }' J/ K a set wealth (wealth - metabolism)2 D) j! c. i) f/ T1 ]
set age (age + 1)
3 q4 j& C; J' k' L5 @/ q5 c+ J if (age >= life-expectancy)
$ U9 P1 _6 G6 B; B, Z [ set-initial-turtle-vars-age ] }* b1 Y& m" L# L% {) a
if (wealth < 0)5 J' N$ o9 m0 i& I; Y( F5 j9 Q
[ set-initial-turtle-vars-wealth ]( w F$ |1 H) o) B& _3 y
% O4 ?' c: n* t+ m; G2 C7 wend; l. _" \& H0 C h6 j3 G d( f
9 _% q6 y0 K& T7 Z( l8 t: r
+ t T1 o' B/ ^to setup-plots
/ ?" M2 E) g% ?9 k, a set-current-plot "Class Plot"
; ?! P& c1 v* X; L9 J, { set-plot-y-range 0 num-people
/ H( `8 v+ c& V( e& k8 {+ l set-current-plot "Class Histogram"
5 S/ B' I' W+ Z' }9 C set-plot-y-range 0 num-people
i! V' [0 [5 C4 zend' N/ B+ s6 n/ z/ F% u3 G
/ X% ?* B: X# K+ Sto update-plots+ t) y9 L) ?' l) Z3 r# q6 T
update-class-plot3 G* Z1 d! T% `! M" f5 i
update-class-histogram
' A: e" {8 M9 T5 d8 ~% H update-lorenz-and-gini-plots2 J5 M, o, d% l5 A0 @
end
6 t' i: u B6 L8 r- _+ {- N6 c! _5 Y+ k* }
to update-class-plot
6 i: a( H4 L: d' N3 B; ]+ [" A9 V+ O set-current-plot "Class Plot"
! c' p0 C l5 l set-current-plot-pen "low"
/ `1 c$ |+ i( E- j8 r plot count turtles with [color = red]
; @" T7 m, U& D1 m: S3 l set-current-plot-pen "mid"; s. N P3 m8 P4 f% E9 ?. O
plot count turtles with [color = yellow]
) C. d* n9 n8 A5 t- Y set-current-plot-pen "up"0 Y$ K- T& J$ c
plot count turtles with [color = green]+ G3 @' C V, K, r/ K6 Y
end6 w2 X, W, M9 A2 Z/ H% Z, Y
6 A% v8 y/ [: k! a* e' C# c! T
to update-class-histogram4 i+ |& O; u4 v9 C
set-current-plot "Class Histogram"0 w+ r% |% ^( w0 A9 B8 ^2 s8 d
plot-pen-reset
^1 @- T/ R2 F* k4 F set-plot-pen-color red
& e: @! o; `; @# A! U8 O plot count turtles with [color = red]
4 j: M/ W f8 ?! h set-plot-pen-color yellow( Z7 N" B5 `# \
plot count turtles with [color = yellow]+ w" i: W% c) ?' D5 R* j
set-plot-pen-color green
0 b- Q) x+ u# M" M9 q plot count turtles with [color = green]8 {2 g; @+ d7 A" B+ W! A
end
. A4 t$ h/ J4 Y+ P# jto update-lorenz-and-gini-plots
# X' i& I9 W8 E: _5 x9 K n set-current-plot "Lorenz Curve"; ?/ d) `' B1 D3 K
clear-plot5 {8 q- B6 c8 h7 d8 k
$ C# O+ T( v$ `3 o
set-current-plot-pen "equal"
4 ?/ f9 ]( ~' K5 M! f: D! i. H/ ? plot 0
$ H( q! A% @5 n. C. B' i plot 100
, R o' n# }6 M" V. R/ U8 s: J
r5 \; ?2 }" N set-current-plot-pen "lorenz"
" R+ k; B3 B+ F; t" V7 O7 w0 N set-plot-pen-interval 100 / num-people0 L' @+ F# {, _" ], w' e
plot 0
$ R# S9 W6 v$ }( K0 y) ?/ C
$ |6 H! G: B4 J8 C3 X. M) ?! Q let sorted-wealths sort [wealth] of turtles! `4 \' ^( d0 r) Y* j5 |) U* _
let total-wealth sum sorted-wealths. a$ v5 v, ~. B$ X4 g6 A
let wealth-sum-so-far 05 j7 t. @: [* c/ j) f& Z) e: ?
let index 0' n: O) U- m1 I
let gini-index-reserve 07 j) I) N' B8 P6 K) M9 x! m
+ p/ S6 P& }/ x+ e
repeat num-people [
/ V: ~3 f8 [" `" q set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! w+ _) X2 l8 p3 A# d3 h x0 u; B! j
plot (wealth-sum-so-far / total-wealth) * 100. F Q* I- A# R9 J0 X9 N
set index (index + 1)' L' S! x, T9 ~* G! i
set gini-index-reserve
4 Z; g0 L _, f; [: @ gini-index-reserve +
. ^$ q% N0 Z" H* ?9 U0 v6 S (index / num-people) -
1 @/ D) S4 S& `# { (wealth-sum-so-far / total-wealth)
% [8 C' [# g2 V" j: @+ f2 ?+ h ]/ P0 k6 F% M: H8 ^
* X2 y% f- F- m: B1 }' w& ^
set-current-plot "Gini-Index v. Time"
. y$ V: v& w) w& L% M plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 X; n) w- m- f& n* S" oend
- D/ I' i: _' t( j4 }to-report area-of-equality-triangle4 W+ `; G% X3 F/ O( ?! H
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 Y7 {2 V; k1 E7 l1 x! u8 k$ L$ A) Z9 k
end |