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
% p1 E# ~- e+ q, x3 q5 @globals* |* ^8 A) a% ]
[) K. s# V! T5 o. p. \& t
max-grain 6 T+ r# n! f* L6 t8 e
* | j* [& e$ }' x]0 t4 @) |. m$ a3 M. b( K5 `
. R. N4 m' _$ [# P- X4 b( npatches-own
3 A( S5 N, o0 y3 g[2 k7 w0 L% [! A) i0 `" @/ [
grain-here ) C2 Q0 E4 f; `
max-grain-here
& N* g8 ~, a; c4 N: F0 L4 `]
1 y; @1 w; X ?. [$ v7 I& J1 M p3 F) _& M1 d& A5 K/ x1 T
turtles-own
f2 L1 P. E4 Y[2 B5 E5 C T6 k; v2 l( y
age ; Q/ J6 c5 |3 N4 J6 ]
wealth
4 n" ~# `& R. B9 r4 c ` life-expectancy 7 f* A! I( D8 B1 g# j" e
metabolism . z1 d; T$ Z+ a- ~
vision
. U& s. N n8 ^' k+ G inherited ~1 h, ]4 b* @ X3 b! C
]
4 K& f4 y7 R: m) y8 R, ?2 I; Y0 S: v0 d: h. O0 P- Q! [) k
( g2 ?/ [" m; i( m9 Kto setup2 h( e, A5 I3 ?/ I4 M4 `3 ^
ca
* Y+ i( X) v" j& M- R' M7 T set max-grain 50 Z9 K$ q* Y) C8 H4 v5 `1 w2 Z
setup-patches
# F* A, b0 Q0 v% F# e9 w I setup-turtles# i" L9 x( T$ h# N# g
setup-plots
% j$ u' L& w* `& N update-plots
( M' X9 q+ g$ }' X: y( c) V+ G* jend
: s v/ X2 @& \' @% zto setup-patches$ n! i" B6 H! {/ ?! [/ C$ v
ask patches) j. M6 @5 B5 b3 P
[ set max-grain-here 0
- Y& b% u* x E3 e6 L% X l' G# c if (random-float 100.0) <= percent-best-land0 y3 z1 t2 h1 F0 ?: V
[ set max-grain-here max-grain" F8 ]# O& S( R7 b' \
set grain-here max-grain-here ] ]
! `3 N; K- k, L/ a# D repeat 5" [8 q, ?7 R7 A4 o \- ?
[ ask patches with [max-grain-here != 0]8 L0 k; I& n4 M( u5 Y
[ set grain-here max-grain-here ]
8 W+ ^( B8 D# \, } diffuse grain-here 0.5 ]9 ] {! v, z6 X( R
repeat 10# y. j- J: m1 p$ y8 j$ w
[ diffuse grain-here 0.5]
% f( d! o. X+ a& \ ask patches& u2 l' y3 M) D
[ set grain-here floor grain-here 6 ^& B8 N) J1 R3 x4 [, j
set max-grain-here grain-here
; R. K B! K& U `/ B" R recolor-patch ]
! X. F7 j8 X; _1 yend3 j4 m' i W, H* }+ C) Z
to recolor-patch
% y( \( ?5 }+ v& A/ x& r& `+ Y+ o7 J set pcolor scale-color sky grain-here 0 max-grain
2 E* q- l% ^8 v0 H2 p6 aend
7 F$ e8 x: [, A9 oto setup-turtles# b3 D Y& T4 o% X8 A9 O$ B
set-default-shape turtles "person"1 c6 T5 b: c B6 C: ^% o
crt num-people
! r( o p$ P: d8 r [ move-to one-of patches
2 |2 o* x& Q# Q* K7 a( r2 z set size 1.5 , l, z9 ^' N6 D5 Z, H8 n
set-initial-turtle-vars-age. y1 ^9 L% D0 i; A# e/ h
set-initial-turtle-vars-wealth
1 y# F& Z E% v) L# x8 i set age random life-expectancy ]# i7 g) L' f" S1 ?8 y
recolor-turtles
0 g, T- H: C) ^5 W, {8 Q; bend Z" q3 r5 \, X' l) M" U8 u
1 \' M: |+ v/ i) s4 G% l
to set-initial-turtle-vars-age/ J/ n e7 q2 i& T
let max-wealth max [wealth] of turtles
U# ~' w6 u" n ; j9 K P) ]% N4 y
ifelse (wealth <= max-wealth / 3)9 t4 e1 Z- u. [* f
[ set color red
- s' f( J. c; L0 P8 a set age 0& } d' X C- p) S# z4 w: Q
face one-of neighbors4
0 l3 u( ~4 G4 G5 x set life-expectancy life-expectancy-min +
9 z8 |& M% f( a, x m! q o- B random life-expectancy-max 5 S1 G1 N, p0 ?
set metabolism random 1 + metabolism-low* Z" m: v# ~) j8 F: ^
set wealth metabolism + random 30. W" ~& [$ Z; ?2 r
set vision 1 + random max-vision
. g6 K2 }% Y1 o# H2 b K set wealth wealth + Wealth-inherited-low ]4 N" q9 G4 L# u q7 G W
[ ifelse (wealth <= (max-wealth * 2 / 3))
, P2 Q W+ P C/ C: k, M5 E [ set color yellow
; D! W5 U! r( o- m7 U9 w1 Q5 N set age 0
* Q5 O s$ L" I" ~" I face one-of neighbors4 3 O* T: Y+ v5 f# `( d7 F, B
set life-expectancy life-expectancy-min ++ P! b* ^& Z7 L4 ?- E( A
random life-expectancy-max + 1
( ~! n6 E8 ^2 D8 m3 U set metabolism 1 + random metabolism-mid) ?% S% e$ W( {9 C8 c$ `6 j; f
set wealth metabolism + random 30/ A- M2 J3 A/ z
set vision 3 + random max-vision
8 V0 } M9 H: Y% ~* l8 P% |% p set wealth wealth + Wealth-inherited-mid]: m! t ^+ {+ A
[ set color green
l* i7 j; p" s- A- X set age 0
4 L6 c* H5 B r2 t1 v1 o face one-of neighbors4 0 h; f7 _! L5 B \
set life-expectancy life-expectancy-min +. @" C1 z p' k
random life-expectancy-max + 2
! A* J* \ e8 c# J$ w# d set metabolism 2 + random metabolism-up
+ n, x7 C8 D0 i+ a& ~5 C- G2 a1 |9 f set wealth metabolism + random 30
& D i7 ^" O# L, F6 Y set vision 3 + random max-vision
5 y9 U u$ \0 Q F set wealth wealth + Wealth-inherited-up ] ]
, H" G, ~& }9 q9 [8 A: ?
6 K! \1 V5 m7 @: d7 { l2 ^end
+ [- i! d; O J7 Qto set-initial-turtle-vars-wealth# f0 V( T" P5 m9 ]
let max-wealth max [wealth] of turtles
1 ?5 \4 z7 B3 V4 K set age 0
% `( M) Q: m7 N) n9 ]* ` face one-of neighbors4 * @* f; c4 y# P
set life-expectancy life-expectancy-min +5 `# y4 ^& W1 y. F7 \) o- ~
random life-expectancy-max ! N# o8 \. w' B; P$ E+ p
set metabolism 1 + random metabolism-up* E$ i" H3 N; f8 L1 p( C0 r
set wealth metabolism + random 30
! R }) A5 [# N set vision 1 + random max-vision
2 ?9 C; @1 }* s2 c. vend0 Z9 E% V, R; J! j" m+ l
to redistribution
& ^5 O! s! _( n/ M2 @let max-wealth max [wealth] of turtles$ a* \$ C, P* g+ D8 M* p
let min-wealth min [wealth] of turtles6 N2 ?' p) ]9 t( a
if (wealth <= max-wealth / 3)
: V' R7 z( v( J$ k [set wealth wealth + Low-income-protection ]& b; j* s- t/ m1 p& y5 l
end8 _) x/ I7 f5 o* P
3 O& R9 ~( Y7 j8 sto recolor-turtles& L# M1 g# ]9 y$ i0 d3 |
let max-wealth max [wealth] of turtles: `) @) u9 ^( y# {5 s
ask turtles; m7 F: A( `8 m& r/ ?
[ ifelse (wealth <= max-wealth / 3); k; B2 ^, t! c9 v+ o& h
[ set color red ]- Y: g9 R, Q: F3 R6 h
[ ifelse (wealth <= (max-wealth * 2 / 3))
- |" G* N2 {: _" u* Z( D8 j6 U [ set color yellow ]4 i! A. S9 N. {' T2 c9 B
[ set color green ] ] ]% Q. S0 D( o) o H5 N" B
ask turtles [ifelse show-wealth?1 [, {/ N; I" s
[ set label wealth ]( M: v5 H1 Q0 A4 T& R5 F- C+ e
[ set label "" ]]
( n2 X) }! l$ d# mend; M C/ i( X, j' {2 w5 J% m A- @
0 n9 g/ f% M" b' A1 L$ ?: m
to go
- \; `0 G# N6 | ask turtles! o4 ?; ?" z. H3 ~3 M0 e/ n
[ turn-towards-grain ] 0 p" o9 }5 y( A, \, C/ L" j" X2 X" u
harvest
# J+ d& a( y- |1 | ask turtles
4 [6 N5 ]7 c. ]8 _' {; x: k+ H [ move-eat-age-die ]
7 ]* z( Z' X1 [/ Z recolor-turtles( t7 n3 Z" a* ]3 p. I
if ticks mod grain-growth-interval = 0# [" X+ Z& v e* z. a# N, j
[ ask patches [ grow-grain ] ]9 k* \/ O9 V6 u# v0 u2 {, L
2 G- M X7 J0 W3 `1 s. I/ ]& D
if ticks mod 11 = 0
; m6 h) Y6 z t+ h, Y [ask turtles7 n8 h* h$ ~' v5 _/ E
[ redistribution ]]
6 {9 G) R" o0 l3 z if ticks mod 5 = 0- I, f( D8 O+ n
[ask turtles' o' E% F# G" o( L% |7 z
[ visions ]]6 `8 b5 L/ o4 X, |6 A+ P
tick/ o$ S- ~2 R) C4 B) ~
update-plots) M5 F: O5 R' f; G
end
f# c) u+ a. G# K5 f0 Wto visions
: p3 V- p7 y6 u, r% S, K set vision vision + 1 # B) h0 {3 |2 C9 u( e+ j# o1 y
end- D/ R9 s4 Q; _
* g% i' l6 G% _5 }3 ?) c M; m" Y
/ x* i) r9 K/ k: g3 X
9 i+ W$ g0 F! P1 j# E; u/ a/ jto turn-towards-grain Q2 r* g) c* P
set heading 0
2 p- ^3 a9 X v+ }/ m! s let best-direction 0
6 q3 k& a2 u8 t7 l1 n" w let best-amount grain-ahead
" a; P0 F$ d, _" V# o set heading 909 |0 h% b5 E& b) g4 A
if (grain-ahead > best-amount)
# q# l2 R: ~/ [! X# i; J [ set best-direction 90% k7 Z ?8 h0 {9 i2 V+ D' w
set best-amount grain-ahead ]
4 w, Z5 s9 D8 G. B set heading 180* f6 ?: {1 b: }* { R! b3 t$ X
if (grain-ahead > best-amount)
# Y0 n& a: [0 z0 I" ?# r" I [ set best-direction 1801 G: Z1 f/ ?! p$ C+ k% i0 Z/ {8 Z
set best-amount grain-ahead ]4 m9 b! W1 W' B2 o! C- p
set heading 270- j; L# L" @& c) v ^6 W" w1 z
if (grain-ahead > best-amount): M* ?% w+ y- K- p4 G% Y& `
[ set best-direction 270 J8 a* ^7 [7 l
set best-amount grain-ahead ]
/ D1 a9 B3 w: g% \( p0 t7 Y' p set heading best-direction
- q8 ~- p! u9 A1 X% ~end
% k j7 ~0 g- y! T# n
8 Y3 E. }/ a+ d% A w' y$ L" r# @+ Q: G& n7 F8 S$ R4 A) u
to-report grain-ahead ) d, C' Y: V( V. f1 v4 p+ M& c
let total 0, a D6 M4 X- D
let how-far 1
, y N6 V( c$ t. x: L2 ?" ^8 z repeat vision
" [/ i! G2 [( M- G3 y& B [ set total total + [grain-here] of patch-ahead how-far5 ~$ B0 E6 D0 |. [
set how-far how-far + 1 ]
6 H( F% o \& I* E* R h+ P2 G report total
d* V9 c8 T, `( [& I( F2 N( Kend
% v0 l4 g' C1 \9 G8 K! j# E) Q$ t; [& P. E& C' R
to grow-grain ! w+ ~/ b+ ~9 L9 L; s# y
if (grain-here < max-grain-here)
& G+ P7 |% x1 K0 ~, |% Y! S [ set grain-here grain-here + num-grain-grown
# Z- u0 c: f3 n( h if (grain-here > max-grain-here)
+ \* N) D( \0 |. n+ n# v& _ [ set grain-here max-grain-here ]
0 V! o$ ]* S7 A' k recolor-patch ]9 D8 o' n p" h3 f5 N; e# X# `
end; L0 m Z# a0 h$ c3 D5 }
to harvest
1 @3 w* k5 O0 L& J" e# y ask turtles
& ^; C0 [' X5 c [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]* J& o) }" S7 a& v Z" b4 }# W
ask turtles6 [4 _% d: `' i f& J% M
[ set grain-here 02 I; \( A& f4 a7 a- Z
recolor-patch ]
d1 H" n# z5 S9 k+ \
9 G. R) N+ I% C1 yend5 |( n+ F3 x) j! p
# _( T4 R! m3 Q, Z: A! h# ?$ S1 I8 |3 _to move-eat-age-die & ^' k+ E; l5 F: q3 H$ H
fd 1( [1 Z# z2 @7 M2 S$ g' p( g5 E T$ H" I
set wealth (wealth - metabolism)5 G! R: O2 F& X0 U6 W7 J( J* s
set age (age + 1)
b9 d5 Q) p" ?0 `/ g if (age >= life-expectancy)! D$ U8 d- Q; k0 E) @
[ set-initial-turtle-vars-age ]' k( w- f% g$ i& H, A
if (wealth < 0)
( o+ u9 n8 }% A B [ set-initial-turtle-vars-wealth ] a3 s/ D6 E; ^- q+ t- ?
+ l8 G$ e% z- w& p3 P9 b
end+ H, }$ B0 ^3 @9 [7 n( t* Q' ~
x* c5 @, R) }2 ^; E$ i9 [
% y( @2 g* I3 W0 v$ \
to setup-plots2 [2 y) a$ o/ m2 U
set-current-plot "Class Plot"* S2 |+ r; s! f. Z0 Z- f
set-plot-y-range 0 num-people
1 f R0 V; X6 G( R7 v( o9 e set-current-plot "Class Histogram"
& b: m$ ]6 n' K2 v! H$ L set-plot-y-range 0 num-people
- I& ^3 J G/ y8 l; p/ P# }$ Mend+ _4 Y# s, S9 q- Y
6 _7 U" V5 i" Q6 m/ C
to update-plots
- i: G6 \6 H7 ` update-class-plot
. u3 _6 s+ I- F' e/ `7 f; W" {4 O update-class-histogram
4 W: j3 ]8 G- t( J* ]1 ^ update-lorenz-and-gini-plots
/ X4 {& O9 Q; xend6 P9 _: h1 U0 k/ K4 w9 M
7 Y/ A) z1 y4 a# N, C$ o
to update-class-plot
/ {/ R, U" x/ x% e set-current-plot "Class Plot"
; }% Q9 S( f, V( n set-current-plot-pen "low"
4 s" V9 C/ ]8 _% k plot count turtles with [color = red]) j! P+ S: L: ~& k" Q- {
set-current-plot-pen "mid"
* F7 O; X! E: L: R+ o( t c. ]. B plot count turtles with [color = yellow]
) R9 T8 b7 Q+ P8 } set-current-plot-pen "up"9 a( A+ J! A6 ?9 v) e* t
plot count turtles with [color = green]
; S8 |+ ]! t( w0 Gend2 S9 D1 ^" Y: ]9 X
' u" z6 O# Y* H7 p, S" L
to update-class-histogram# h8 {' D- e; c
set-current-plot "Class Histogram"! ]% Z3 ]3 z, D) R0 D0 C: [
plot-pen-reset& e3 Y. q3 `0 l P% T. Q6 U( V- L# U
set-plot-pen-color red& x3 A3 ~# ]* i6 _
plot count turtles with [color = red]/ H! O6 L4 q$ A8 n. n6 O1 L/ [- q
set-plot-pen-color yellow: [1 x, a# e* b2 x- R
plot count turtles with [color = yellow]: B |, N9 _+ g
set-plot-pen-color green4 I5 I) u+ O, s% |6 \8 e( J/ \
plot count turtles with [color = green]
% W3 s7 H7 {" H d5 F& Hend3 X+ _ C; i, N, U/ z4 e3 j! k
to update-lorenz-and-gini-plots4 e3 @, L; F T' K" k+ a' y
set-current-plot "Lorenz Curve"
% ]/ A; n: s! W9 B" k" i& w clear-plot
) q6 z) z- j: }
5 Y5 \0 r; f. u" B set-current-plot-pen "equal"7 B1 X2 z" N. D8 A
plot 04 j. l: k# K7 O8 g ~
plot 100
, b. j& T) ]) B. s' C2 f: J* S7 v! `/ \6 O% F8 [/ G* l& S5 `
set-current-plot-pen "lorenz", O+ r" C: A) N$ _& h+ I4 v* i& z
set-plot-pen-interval 100 / num-people6 U& z# O; G% L+ d$ L
plot 0
9 Q7 W( B2 u9 R! O% n X { B6 S3 k, E+ l+ w
let sorted-wealths sort [wealth] of turtles
$ ~6 T% e3 J) H let total-wealth sum sorted-wealths: u4 |4 p; x! x4 i" `- l2 c. Z
let wealth-sum-so-far 0
7 \# x5 m, u, V; K/ D let index 0
9 z9 y3 U2 Z3 `; v3 r1 K/ R let gini-index-reserve 02 |8 u( i/ i! C m7 G3 t; u
' [! N+ ~4 G/ Y* Y
repeat num-people [
# @% A% }) |- h! m8 ^, w set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
; m* [: S }9 U0 D( c+ ] plot (wealth-sum-so-far / total-wealth) * 1001 |7 R3 e/ s u( h
set index (index + 1)
1 W- L* H# z. ]6 U h5 H set gini-index-reserve
% h5 N3 X. h! c5 b$ `7 {1 [ gini-index-reserve +
, q5 _ F9 c5 P& x6 g* l (index / num-people) -+ |! U% _3 C2 w/ n
(wealth-sum-so-far / total-wealth)
1 h7 V0 t* r; \' [ f. x" D ]
D7 ]4 N# J: P! s! o+ J0 T: f
4 h L3 P) W) L9 U1 g, N+ ?5 z8 S set-current-plot "Gini-Index v. Time"
R1 a7 l4 n; u: U$ X9 R plot (gini-index-reserve / num-people) / area-of-equality-triangle
7 |0 m. s# J9 t% S8 Tend' p& t: U4 D& i$ p( X& i# \% {
to-report area-of-equality-triangle
- |1 ]# c6 ^/ g6 }' Z2 Y- q5 [5 u report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
" [8 R9 ?" U1 \5 u" t( V' aend |