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
! |% A+ {' r) W$ vglobals0 Q: l/ y6 Y; Z' w* h3 K& ?" I
[
1 T; O3 C: _5 a# C# Q: Y max-grain
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]- E* I3 g% t+ l6 ~9 d7 P3 a$ `5 A! L
" A6 [3 |/ E( n' apatches-own
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& ^, a# H) v! c+ C! N: v grain-here ! [+ u3 L: l9 L; e& f- l
max-grain-here
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7 }* U2 l! z- |2 g
turtles-own( z$ J8 U+ Q+ s* h' Y8 U
[- i3 o6 Y/ h5 `* k2 C" d4 @
age
: d' b! M9 d2 V wealth 7 |! H- v; a4 g% E* W/ `! k# m6 x/ ?
life-expectancy 0 G( e) O% X* l2 R" N5 e3 v
metabolism ) ^0 V2 k8 z( z8 i
vision: q1 h7 u7 s, f! W4 L* g3 q
inherited
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0 t5 { o/ _4 m3 \9 Jto setup
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set max-grain 50
1 K% U4 j( e5 C; U9 ^+ N# Y setup-patches
/ l4 `- W8 }8 \: w4 d setup-turtles* y' J5 Z+ Q8 O1 P9 I, }
setup-plots
1 l5 b. J: E. s- N9 K update-plots
& E3 ^7 k( k' P- E* U9 _- eend5 i6 V8 ~1 ^- A( b
to setup-patches
. p( @! l# `* e1 k+ `: a2 R1 u2 F ask patches" U: x" b0 P5 z8 }/ {3 {* @
[ set max-grain-here 0+ Z9 b$ D8 u" k
if (random-float 100.0) <= percent-best-land
4 n/ f) `% T" o2 Z. m9 V' f [ set max-grain-here max-grain8 o3 _/ u. t! n
set grain-here max-grain-here ] ]
& k1 l' s R: T+ i repeat 5
2 \# h0 j4 @6 [ [ ask patches with [max-grain-here != 0]' C; x9 }# \9 j! z7 `4 B! V# C- c) i- ^
[ set grain-here max-grain-here ]- b7 K% O5 r5 |
diffuse grain-here 0.5 ]1 E& q2 o( Z2 n" d8 f5 G% _) v. s7 a
repeat 10
! H* N$ R' J1 A [ diffuse grain-here 0.5] $ b/ G9 _2 G2 e) e' r
ask patches
2 u7 n6 ^+ |- Z6 K4 {8 B0 J1 a [ set grain-here floor grain-here % y0 M! l% B$ ?& p' R
set max-grain-here grain-here F( X1 a( C9 a+ c5 k% b, N4 f& G' y
recolor-patch ]
3 W5 d+ E7 S5 g2 D$ j0 @" [end* |( k6 T3 j7 U! i* c
to recolor-patch
9 A3 Q, q: I9 \# A8 l- V' a set pcolor scale-color sky grain-here 0 max-grain2 T) D6 W. T( A, C7 _1 O
end; {) S) {) u9 X4 C9 { k% B
to setup-turtles1 _ D" a. N' v; ~# i
set-default-shape turtles "person"( `5 _+ g* k! C' M+ K! ~
crt num-people
: X9 R5 k0 R) ]! O4 I; V8 q [ move-to one-of patches " I, I- z+ S: N
set size 1.5
% {- N! X6 F, }- r. j/ }8 @ set-initial-turtle-vars-age
( q8 G m( P6 \+ V( F% K$ X3 R: e! { set-initial-turtle-vars-wealth# y1 R- |3 v0 q, t$ S; F
set age random life-expectancy ]
4 L/ _8 o/ K2 p* f4 ~- A: i recolor-turtles
! V$ J: B, T! jend: F# t' `) B. p
6 ` I) x1 e+ O, ?0 T6 X; qto set-initial-turtle-vars-age5 s* W* } E, [
let max-wealth max [wealth] of turtles
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; `. r: |4 s& m* e4 \$ h3 a ifelse (wealth <= max-wealth / 3)
( D2 ]3 T; ?. ]0 N [ set color red
# Y6 U3 L N3 n3 \) \" J0 @ set age 0
; s. `: l. b; ~8 d! N& } face one-of neighbors4 ( H2 l$ H3 W& u, R2 n
set life-expectancy life-expectancy-min +
' s4 g. t. S5 A6 e1 _; b5 H random life-expectancy-max ' h2 u, v2 n3 V( {
set metabolism random 1 + metabolism-low8 w; c" `- q' ^% s9 j+ X' k
set wealth metabolism + random 30
: a' V( ?# U) f0 [ set vision 1 + random max-vision
" x8 y, D- `: a2 [ @ set wealth wealth + Wealth-inherited-low ]
- _1 S+ \1 ]: I7 H [ ifelse (wealth <= (max-wealth * 2 / 3))- l" g6 ~8 A+ H/ B2 R6 ~3 K; Z
[ set color yellow
* M1 f. `, U1 i$ h6 l* s8 d set age 0
: G" p0 ^ J( \4 t5 v& J5 b face one-of neighbors4 1 ]' G# m) w8 _) y% j* ^
set life-expectancy life-expectancy-min +1 E8 J5 Q/ f: N5 T
random life-expectancy-max + 1
0 l" O4 H/ J" e" {) g( I Y/ N set metabolism 1 + random metabolism-mid7 A6 t7 H6 q6 v
set wealth metabolism + random 30
, _$ ^" {- N" v9 Q set vision 3 + random max-vision2 F, d5 _( X$ _0 T
set wealth wealth + Wealth-inherited-mid]
+ ?+ v* y) H4 {+ U3 ? [ set color green 5 U, k7 f( ]% m8 J
set age 0
8 i+ c8 l7 ^& o5 _6 | face one-of neighbors4
* e4 o" O: I% S/ \ set life-expectancy life-expectancy-min +
9 E# \+ w5 |' x- k! K& k# ` random life-expectancy-max + 2
6 M1 E. [( ?* m, a u f- z* B% x' I% P set metabolism 2 + random metabolism-up: w1 U. P* U% ~5 [
set wealth metabolism + random 30
' D Q5 g" S; g6 u% ]$ A) T& X$ Q set vision 3 + random max-vision
% m& g8 K- }9 ^0 ^5 ` set wealth wealth + Wealth-inherited-up ] ]
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r) h+ a, q8 N# G- c eend# ^1 z$ E+ N0 x$ W5 G
to set-initial-turtle-vars-wealth
9 [' b. \+ z- w) ^8 z/ ^ let max-wealth max [wealth] of turtles4 t! |$ X4 b7 p( K# Q4 m
set age 0* h) u6 g. X. {- u
face one-of neighbors4 4 U( P5 Y; o/ u9 ^* l
set life-expectancy life-expectancy-min +
# p0 Q5 ^) X# Q3 ?# ] random life-expectancy-max 9 T) v1 a5 C( h& E) G2 s1 c! [
set metabolism 1 + random metabolism-up" t4 X! V5 F# |" p! T; j
set wealth metabolism + random 30
$ V) z9 m4 U* Z) P, i( N& x. P! y set vision 1 + random max-vision
. P$ y4 m2 x( Q9 ?* hend
% @2 \( e! G. F- qto redistribution
" e: I2 Y4 A( X9 alet max-wealth max [wealth] of turtles7 }$ l1 f) ]& j
let min-wealth min [wealth] of turtles
. l8 n& W4 i. Y4 A* R6 iif (wealth <= max-wealth / 3)
& a8 g4 O' t8 x' k- e3 X [set wealth wealth + Low-income-protection ]
( M/ k: K2 G6 j, I J( Z7 s( u9 X mend
8 S1 F: f0 i# c6 _* r7 B! K
0 Q9 O* s. u' t- M' W7 U) ~* Bto recolor-turtles
! H- z% V* V8 ^1 t( i/ T6 g$ B2 b$ ` let max-wealth max [wealth] of turtles1 t7 d: F" y) G6 K
ask turtles# ]8 w1 X' [0 r
[ ifelse (wealth <= max-wealth / 3)
) A3 @! ?* J/ S" U9 A2 g [ set color red ]
8 D, X x1 e/ C" l" Y; h, e [ ifelse (wealth <= (max-wealth * 2 / 3))0 U$ R* E3 {& ?9 k2 }) m0 K
[ set color yellow ]
: |+ O7 U, C8 E+ q! V R: z0 U! B [ set color green ] ] ]: j3 {8 c0 E: I. {
ask turtles [ifelse show-wealth?
# m- z1 c2 J4 ]4 _! B; x [ set label wealth ]
* e D( O% B1 ]( k$ v [ set label "" ]]" n9 U( o9 F! e& l0 u! j) B
end9 _& u3 Y* E' z; z
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to go
( N2 u9 Y7 y j6 W: c ask turtles9 [, {; _8 m b* s5 }3 Z
[ turn-towards-grain ] 9 @/ ]; Q f; t; S( ~
harvest
3 D8 o9 f# r+ D& }* Q ask turtles
: Q3 v3 N- E* M( n: _ v3 Z% b [ move-eat-age-die ]9 T+ n, ~ X3 a& @# Y) f- I: Q
recolor-turtles
1 t& r) C q$ e0 P( \ if ticks mod grain-growth-interval = 0
$ c! Q! a+ M A& b. z [ ask patches [ grow-grain ] ]
" T7 Q' X0 X: k6 A( n5 T6 P ! d1 A* z& Y/ i7 `5 t
if ticks mod 11 = 0
2 ?$ i) w: Z& Y4 |5 r5 p( V; F [ask turtles4 ^/ Q1 M9 l' ^) |5 H
[ redistribution ]]
3 M" @8 y" T( Y( C: [) K- @ if ticks mod 5 = 0
+ H% k% C+ d2 U2 ] [ask turtles
0 t% V* Z; @! C7 A [ visions ]]
& H! }( y1 L0 J8 D) U, y( l2 @8 Q" Q tick
5 x5 \; ?+ k7 V( m. D% Q6 G update-plots" t3 u0 U: b+ k5 e! s) N
end* I/ @) ]4 }1 U5 e ~
to visions* u3 p! W$ U7 l6 Q
set vision vision + 1 1 @$ v1 [* M* D* p+ A8 _
end/ u" {3 F8 O5 n" r
( q) f/ C' j c" O6 @
$ |3 R a3 L9 d- H5 V
7 F2 L. t' o& |4 Eto turn-towards-grain
$ q6 V) D) ]1 G. c7 Q1 q- y set heading 0
' v9 e- x! ?2 L9 M$ f: X0 [! |3 A let best-direction 0
8 x! k( L+ S+ b, U let best-amount grain-ahead3 L( J3 U& n9 u. e. i. `" V& I
set heading 90+ e- S( g5 n* m* ?: M4 l
if (grain-ahead > best-amount)( u0 y l5 S6 p: z2 z
[ set best-direction 907 P% r& O1 J; H3 y/ d, H
set best-amount grain-ahead ]. F+ ~' V! D( z8 t1 h1 {
set heading 180
8 A) e* B8 `" u1 r. y if (grain-ahead > best-amount)
9 u* b6 Z+ } t4 u" b [ set best-direction 180
: N3 U' r( y2 }1 K$ t set best-amount grain-ahead ]/ y9 e' X1 E- N! ~5 a3 C8 f
set heading 270
/ A, _7 ]5 w0 I( l0 p5 ?% c if (grain-ahead > best-amount)' ~5 G: X9 h ` B b/ V
[ set best-direction 270 B/ @8 x C+ C e
set best-amount grain-ahead ]$ B# H4 S3 p+ o- n4 o( D
set heading best-direction
2 t7 K5 f8 h+ H( r' f6 J2 Pend p6 B! y% O9 O( w4 N6 q
8 X; N( e/ g4 x
1 U* N. |. \+ o* D( Y- [to-report grain-ahead # _) N% C( N V
let total 0
2 [5 f6 F; {/ b8 `( i G let how-far 14 E w% z, i# A# l* x8 q2 F
repeat vision
, G1 g) D# e& |- J [ set total total + [grain-here] of patch-ahead how-far/ K" O8 W$ V8 h
set how-far how-far + 1 ]3 n5 x: q" M' O+ Y: ]* x2 {
report total& }$ W. v8 i4 I% P ~* \
end: h F; E, T: v+ F0 q8 S( m$ k
$ U0 z3 x6 i* kto grow-grain & [7 E; T; ~4 W& f2 L
if (grain-here < max-grain-here); ^4 n6 e% m+ y4 B7 Y9 p
[ set grain-here grain-here + num-grain-grown
$ A0 t. }, R6 W5 T: n$ l2 M5 O if (grain-here > max-grain-here)
& G: B1 {$ l: r1 i) q W [ set grain-here max-grain-here ]
- C' {$ t2 g S! \! m) ? recolor-patch ]
' U# F6 w. I: e, f, Q* \end
: y0 n, Q! [4 d' A" M1 tto harvest
8 m2 h! k0 D j, X5 f/ q1 [ ask turtles
( |- l2 f. l9 |1 K! i [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: w- p7 K* q2 N" R; i+ F
ask turtles
5 Y. @) [. E: E6 |5 Y8 v/ C. {8 X [ set grain-here 0# m8 ~/ D3 X. D8 P7 m
recolor-patch ]
! E! C8 @5 b4 g" H- S" A' K$ ~ f * t9 n1 \0 G+ e5 y9 Y" Z9 ]; t5 C& {6 n
end
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to move-eat-age-die
; r# I1 y9 p( y fd 1; v* G% m$ z% \" O
set wealth (wealth - metabolism)3 v7 |! J1 e- l' I) ]6 Y
set age (age + 1)- d/ ]3 t g% n' r l! [
if (age >= life-expectancy)
Y `. p. i7 |( R6 j& ], b [ set-initial-turtle-vars-age ]
& @( f5 k, ~5 h [+ U if (wealth < 0)& ~2 {. I+ _' l5 Q' R/ i0 d" ?
[ set-initial-turtle-vars-wealth ]" O: I$ B* B8 b2 U
3 N: h: y" b5 r$ a! W1 l6 [end( @. U0 _/ M& D+ ]% r X3 _
* n& |" H! P1 Q) X/ U+ |, h- O; d
to setup-plots4 K- Q m s4 f, y
set-current-plot "Class Plot"
3 v% d/ O9 ]) L* A+ n- | set-plot-y-range 0 num-people7 V3 ^( I) y6 Y4 o
set-current-plot "Class Histogram"
7 n% u( Q# b- C5 _1 Q2 F3 | set-plot-y-range 0 num-people2 X7 b5 N$ z6 k2 J' G& b
end
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to update-plots& w0 W" u* G I) ]* J5 O- d
update-class-plot$ g, g& X: _% `5 A) Q$ e1 v
update-class-histogram4 x( R4 O$ S3 w, w! m; U; b
update-lorenz-and-gini-plots% H) ^9 `, | W9 O" C2 x
end
/ b* f2 m* D3 r" z9 q2 w# v" U) n- [* I" y
to update-class-plot
; U" O' F( }" m% e% @% | set-current-plot "Class Plot"% s( }; ?* I4 y
set-current-plot-pen "low"
( a0 b% N) _. |0 m7 { plot count turtles with [color = red]
% [3 x, N& K$ [, |* | set-current-plot-pen "mid"
, @+ N) G" P' _6 s; T* C6 D plot count turtles with [color = yellow]9 P! W9 j' T, p; s: p/ y
set-current-plot-pen "up"
# f7 [" \& @% X9 ], m plot count turtles with [color = green]3 E8 l0 h5 P& L+ W4 ?
end
! O6 f2 |; g- `6 B5 H6 q: ^; w4 i8 P/ m' a8 f" B) B9 d
to update-class-histogram
t( ^3 F5 {" w9 @" p; w, F set-current-plot "Class Histogram"
( I i0 t" W/ g- X* B# J plot-pen-reset& W4 {% k- X( Y- d2 F
set-plot-pen-color red
3 p5 g; D- L0 e* _! S plot count turtles with [color = red]
$ u" k7 B; W: m0 h5 h" P0 z3 S0 N1 ^ set-plot-pen-color yellow
: o; `4 Y3 D9 \* ]7 z$ O6 P# y plot count turtles with [color = yellow]6 o# X3 f8 ?) l4 C2 b3 j
set-plot-pen-color green; {0 c$ Y% N- O- A6 @9 w
plot count turtles with [color = green]' [' Q6 q8 w+ f' y
end3 U& f6 n/ E/ K' a; N8 S
to update-lorenz-and-gini-plots
9 F% t6 V# \: ?6 R, _ set-current-plot "Lorenz Curve"
" `; A$ m5 B+ X% A" e clear-plot
5 p& [/ S' e' V
/ N8 b/ i# L5 a- J- { set-current-plot-pen "equal"
F- `: r# A V( { plot 0
8 e( K2 d4 e. F4 i( m" v plot 1006 X! E# a4 Z6 r& ^ b
) }) O7 p6 j2 x: p& x$ K) ]0 ]% } set-current-plot-pen "lorenz"
) ?5 b9 `1 Q9 q* u8 R1 y. L- c set-plot-pen-interval 100 / num-people
) a6 R# }) J& c' ?! A2 p plot 0
4 o" M% g$ Y! T( D! o2 L4 w! W/ t
let sorted-wealths sort [wealth] of turtles
3 v# m: f# {8 I; m& T: i let total-wealth sum sorted-wealths+ S* m& s h& E* X& E, Y7 k
let wealth-sum-so-far 0
% P- W' x. e4 U* |: \- W0 s: ^/ _ let index 0" F$ y- h! F4 M% w7 {
let gini-index-reserve 04 p: B$ q- p4 x9 m* F0 h( s% b4 K
# O9 b6 ?# ]$ f& a& D& ?
repeat num-people [2 b, T8 P2 ]6 X' @5 X9 ?* i$ z
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths) T% V; H0 i: ]* r5 u
plot (wealth-sum-so-far / total-wealth) * 100- g( u$ C7 p, j
set index (index + 1)( I( s# N$ d3 P3 Q$ g
set gini-index-reserve
7 E8 O( X! @: U7 `5 q: j- y1 F gini-index-reserve +
h! w- @/ t9 u4 r* V4 H. Y+ J (index / num-people) -! L# ?& L, D$ D0 B
(wealth-sum-so-far / total-wealth)7 k( z- T" b; N' X
]
5 u0 Q& Z) Y; P0 o
; L |/ b8 D3 T set-current-plot "Gini-Index v. Time"+ i' F; N1 @# X) K0 T6 a
plot (gini-index-reserve / num-people) / area-of-equality-triangle$ }1 d# a) N; `8 t$ L& F
end
+ a/ e: v# S: M& x& b& c* V% ?to-report area-of-equality-triangle
$ T4 [0 r# n/ ~# [) D+ w* [ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. h% t0 A% t% Z, C4 kend |