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
" J2 ], `% u; B. zglobals9 G# w3 U& B$ s" T
[% h! `" v2 a% a$ o/ _# ]
max-grain
/ Q* u7 C c+ A0 @' S5 Z
! b$ N; J9 o& Y) A5 T) `]) v( ^; d. e. @( T. u6 n1 d8 o
! b. _& k$ X- w7 Ypatches-own# C: C* n' W4 N4 a$ @$ |
[
2 G6 n8 |* {0 t7 T5 M# K grain-here
4 x7 d: u `/ x, y, P max-grain-here
s* F& b% J) Y7 m0 L( p]
% b, O+ p D& T& Z$ Q6 K7 y' T7 c% Z6 I* [* X" {- z ]( F
turtles-own
# X2 T. l/ k; j( M) _[9 Q* k1 f1 ^! F
age $ I! q# F, V9 i w# U$ _
wealth 9 w& D' v- z8 j2 u9 Q( z
life-expectancy
8 D$ Z, u! M- ?. B% t8 L4 G9 k metabolism
8 w7 g( L9 Z7 j( f. o! s# N( i vision
O l2 @' _) {1 Y3 e# y0 H" K inherited
7 A$ ], e% N/ [3 v3 {] R+ e0 L& A) B( p
. P, x n( \ i' @! j6 [+ q8 U4 v% [: O2 X& U* N$ W& Q, x' J
to setup5 h- l4 c% }5 I9 G
ca
+ d* L. M1 o" ?6 k x set max-grain 50* K2 {) H3 {4 f2 t/ ~# {
setup-patches$ Z+ w! @; c3 U& F7 _( Y6 L' E
setup-turtles5 p9 h9 a8 ^. Z* v& B9 i
setup-plots# L; Y" h+ c2 P
update-plots
: b5 y5 D$ q h, D7 P# Kend
+ S: [7 F- X8 j [3 Fto setup-patches
& C- D, f& X! d, N2 W9 X+ R' G ask patches
, E- u3 ]4 b. b& v [ set max-grain-here 0" m$ S& J/ p- K3 z, P Q
if (random-float 100.0) <= percent-best-land. X0 A+ T! R- Y8 `3 a7 ]2 z
[ set max-grain-here max-grain
/ \( X3 P' g: i7 A/ c set grain-here max-grain-here ] ]
' b9 Q3 w% @* v7 f' t repeat 5
2 m# u3 H3 S3 w1 ]! u1 ^ [ ask patches with [max-grain-here != 0]' v( t1 K' e6 v* _: H- ~
[ set grain-here max-grain-here ]2 q3 }( u/ q* Y9 Y
diffuse grain-here 0.5 ]
' [' F* [3 u; k7 q! [& D( z repeat 10: c+ e8 u; f/ D) Y; E
[ diffuse grain-here 0.5]
7 ~% |, _6 ^+ V7 y+ k( [8 Y: C; L ask patches6 x! H* Q1 z8 D) m1 R" a
[ set grain-here floor grain-here ) C( ?5 X8 I5 [. \/ B8 I: M
set max-grain-here grain-here : N+ B4 g* ~# B; p9 e8 x+ X
recolor-patch ]
% b' M9 {. h; j5 i( Rend0 A" Z, |0 F% S" W
to recolor-patch * g! r! n1 E- [( G8 U9 _' Q
set pcolor scale-color sky grain-here 0 max-grain8 {2 ~2 F% v; v+ F
end" }* s V% x$ H Y0 [* ~$ q
to setup-turtles/ U2 T1 w: y. i3 M) h
set-default-shape turtles "person"
0 |4 O( i# o; h crt num-people
; p' i' @1 J2 Y5 Z& c [ move-to one-of patches
7 a7 j' U: I1 a2 F( V( Y set size 1.5
2 }0 Y. y( l6 R0 k9 L* L set-initial-turtle-vars-age
6 U) T( B* r0 E7 P1 _: w( b$ U9 C# o set-initial-turtle-vars-wealth, B6 B& V, @6 C+ g7 b8 A0 b
set age random life-expectancy ]. Z p: X* u# k0 }# s, U- d
recolor-turtles3 k. G/ A9 p; j
end, V9 d$ T! z5 ]# N0 ?
, w# y( ~% m1 D* cto set-initial-turtle-vars-age
/ L5 B4 g4 ^4 W9 m let max-wealth max [wealth] of turtles
. S8 c& ~ i2 d* T6 D( q* O0 b $ O9 w1 C! t* e. E
ifelse (wealth <= max-wealth / 3)
1 [* d! n9 z2 n {& e# V [ set color red # U% R5 ~9 O% s& S! k
set age 0
+ Z6 B4 ]/ |* O9 k- E/ h: s face one-of neighbors4 $ P! {* `1 G; E$ D! e3 |* w9 p
set life-expectancy life-expectancy-min +
+ V7 d( i+ I, G, F, m" h random life-expectancy-max
# M ~9 h* B/ U: O, e% P/ {9 L) Z set metabolism random 1 + metabolism-low
; N/ y) U8 _' P5 q; Q( O set wealth metabolism + random 30
7 q. _; F1 F5 b( W0 h2 M set vision 1 + random max-vision2 B( E# k0 Y& S8 [0 N
set wealth wealth + Wealth-inherited-low ]
, i r0 V2 p1 l [ ifelse (wealth <= (max-wealth * 2 / 3)); }# i, L6 X# k
[ set color yellow
! P' c9 u5 p7 q8 k( a set age 0& k$ n1 w+ R$ k" Z
face one-of neighbors4 ' [! c6 s, L6 w8 j1 A, e
set life-expectancy life-expectancy-min +
; ^) D, G5 U# E- o( Y random life-expectancy-max + 1
1 s* Q5 p& V+ ]' _/ {4 N' ` set metabolism 1 + random metabolism-mid
n) V- F7 }$ S5 w h$ h0 o set wealth metabolism + random 30
* _, ?2 g z; t; i. C' h set vision 3 + random max-vision
2 B/ K# R# ~- ~ set wealth wealth + Wealth-inherited-mid]
9 Z2 n% b! n. n5 L0 B1 p [ set color green ) C P) h; ^+ |7 O# ?" o+ g
set age 0 P9 |2 _1 u& \6 N' \6 b! W R
face one-of neighbors4
, w+ H. h# _$ P t set life-expectancy life-expectancy-min +* U, v7 k$ e6 |2 ?, M
random life-expectancy-max + 2' `- v5 T9 _5 O
set metabolism 2 + random metabolism-up8 m4 {* |0 T- R" Y
set wealth metabolism + random 30/ m; r5 m2 n0 f( L
set vision 3 + random max-vision4 I {8 L% \; f" I) ^4 `
set wealth wealth + Wealth-inherited-up ] ]
. w' o" T1 o5 a) N# {& K 0 |: w. |4 T) L2 [1 k/ T2 F9 ~3 u
end/ Q/ H- ^/ A! Y1 [/ O
to set-initial-turtle-vars-wealth
- D3 g ?/ ]7 p' X' }+ n" W let max-wealth max [wealth] of turtles
& S& P) j. s, v) V& K% ~ set age 0
! F9 F' V w/ H" @9 Y face one-of neighbors4 % _. s; U: B; O$ s
set life-expectancy life-expectancy-min +6 _& y4 M$ k, B0 m
random life-expectancy-max 8 r# C5 k2 e' D
set metabolism 1 + random metabolism-up
( t( l5 n7 b1 e set wealth metabolism + random 304 A' x. m8 Y% A5 ~+ j, {, f* w0 F
set vision 1 + random max-vision
! e0 D9 e. \8 k5 G; Eend1 t G& E' W- Y+ }) T3 m- q
to redistribution
+ {1 n! B s# I% M/ S) R' ]* olet max-wealth max [wealth] of turtles& E# X: x3 F+ k/ X+ r
let min-wealth min [wealth] of turtles
: z0 C- r& [) q! t$ T# N* Mif (wealth <= max-wealth / 3)
# m* l% o" z. Q# E [set wealth wealth + Low-income-protection ]
* i- p% |9 z: @) Xend; F+ D; Q$ A" A4 _2 I- M, c
$ R& E8 v# S+ }( Vto recolor-turtles' Y' e2 M- \3 [, n" o
let max-wealth max [wealth] of turtles
: A5 r- I, `# ?. ^ ask turtles
' Y4 m9 o3 F6 y3 V/ d3 E [ ifelse (wealth <= max-wealth / 3)
5 t+ ?( r' J# v& n8 R$ F$ ] [ set color red ]
9 z+ I6 R8 N- l+ g" S3 r& o [ ifelse (wealth <= (max-wealth * 2 / 3))
; ?/ G0 d3 |4 }( {4 y [ set color yellow ]7 N; E% Y [- i+ U# J2 g
[ set color green ] ] ]* d# Y9 M( S; H: p8 _/ A0 F9 O
ask turtles [ifelse show-wealth?
$ h E3 U8 p$ [$ ~ [ set label wealth ]
9 k6 j" y: t$ G8 g3 E+ D' { [ set label "" ]]
* q$ |( g& Y4 j' d$ ^end
, o: U H+ h* Y; k7 s1 E. _8 z. Z: p7 x; ^
to go
4 }0 B2 u- S4 S9 v2 M s: H ask turtles
( Z- C8 z+ U6 p) X( w& y' S [ turn-towards-grain ] + w z* M m' L! L* u
harvest- Y2 s' z$ g5 ^; ~
ask turtles7 N U& w' J# H- ]2 X6 c
[ move-eat-age-die ]
# [. S* y. `0 D* h recolor-turtles3 j) C# ^& ]+ f" g0 _9 z+ r4 a
if ticks mod grain-growth-interval = 0
2 U0 }" s% {3 r1 H9 q$ w5 u) t* a: R [ ask patches [ grow-grain ] ]
: W8 i/ p9 t' z) n5 Y2 y
% `: h0 ~# E S if ticks mod 11 = 0
. X; W0 M) F K. ` [ask turtles
) F! {$ I/ {0 Z+ O# h' d [ redistribution ]]
, W0 s% U8 n% a' m if ticks mod 5 = 0' d+ n6 ~4 h8 \6 H8 y
[ask turtles
" C/ D+ x7 a& P [ visions ]]
, q1 ~0 x+ M D- ~ tick" A! B& }2 V% w' w
update-plots
. S; s' M+ j4 d( G4 F& U* T yend
& a2 }7 D: }& G: g7 }5 `to visions
7 H: @4 P: t' B" p. m6 `- \3 j set vision vision + 1 - w6 L h4 |' H+ V# J1 V5 `9 U* B% j
end. i, c6 z/ Q5 k
+ `! L% X9 ~* w* ?+ c# X% Z1 g! k: I4 ~- V# U! [
$ [. k. J6 U$ i, N) c
to turn-towards-grain % t8 q4 X3 g- s3 K4 _: T A$ L
set heading 0
) t0 o4 W4 L* m. O' r6 k5 K let best-direction 0
. p2 S. {( L! ]# C/ i: Q let best-amount grain-ahead
9 ]0 }3 s7 k6 Z6 ]4 Z: A set heading 90
# x2 r" W. I- w% P8 |- m1 r- | if (grain-ahead > best-amount)
# T" f9 `) }4 g4 t; T0 f [ set best-direction 908 D' \5 a) E+ M0 l! f l. {( i* j
set best-amount grain-ahead ]+ B3 R- F& \/ v5 m& V' o4 u
set heading 180# \& D( x- [5 c
if (grain-ahead > best-amount)
/ S( W) b# J, T, N7 o [ set best-direction 180
2 l& I0 [9 b& x; j* J' E set best-amount grain-ahead ]
: I3 f" \; V- q% v! t2 b' b# g set heading 270
) I |2 v) E: F if (grain-ahead > best-amount)
6 I8 W. z k5 [+ n- F [ set best-direction 2706 R+ l) |# L$ Q! T! b" f
set best-amount grain-ahead ]
/ K/ q) @0 z0 |5 i9 w set heading best-direction3 C8 R" D `$ Z" k0 x2 d" R1 _
end# ]3 X0 P/ {" e* G' P
) `% a K* ~" ]$ j/ P" p: }- X2 _9 b6 j: h7 l( g' X' R; |
to-report grain-ahead
, `% J1 Q# E" M* S, i$ a let total 01 D$ B! V3 s [; ?
let how-far 1
7 C- b" e# y1 O repeat vision8 D+ T1 S# g3 ?- a# Y; J8 S
[ set total total + [grain-here] of patch-ahead how-far
a, G1 \/ ?5 L8 M$ _% i set how-far how-far + 1 ]
4 c4 Y/ s" F& ` report total
& O; }1 K# K, U0 R! hend
& |2 Y( c1 [3 Q/ L1 s# Z5 N: c, P9 Q* q5 ~
to grow-grain
$ Z; {$ W$ l4 K6 s8 B: I if (grain-here < max-grain-here)
; P. ? M* D2 V8 h7 E [ set grain-here grain-here + num-grain-grown- Q) L. j/ n" I% k% X% i2 g/ w
if (grain-here > max-grain-here)
$ _; o7 A# A6 g# c- Q [ set grain-here max-grain-here ]
* O1 n# g2 l! o" o, n% J recolor-patch ]
5 [- r( _& x+ P, J) q' g) J' z3 h0 Bend
* V' |2 G' C+ s8 t- _to harvest
: ~& K$ |8 v" M3 `5 Y ask turtles; G; w. L* z! B4 I* }
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]& g" f7 g3 j7 J. B4 Z/ }
ask turtles
6 T% o1 u: i; p [ set grain-here 0
- b* F, S" M$ O recolor-patch ]- ]% ~) P- z7 I% t/ |
, Y0 o* W4 I4 o- g8 ?/ P! c
end4 O: N; g+ b$ Z* I1 w8 ~
- C/ Z; z, h- S
to move-eat-age-die
7 \ z' w" v( O* ~* q0 {9 I fd 1) `5 `- _( F+ N, S
set wealth (wealth - metabolism)
+ D7 a9 R7 T4 O& }! F set age (age + 1)
" ^- Q5 ~9 g7 Z X# e. i if (age >= life-expectancy) m5 H: ^0 o" A! f# d6 @' E& {
[ set-initial-turtle-vars-age ]% O* {, T5 q2 m: U5 k3 ~
if (wealth < 0)
" y$ ^+ {2 i, Q- h [ set-initial-turtle-vars-wealth ]
- j d6 o5 N6 ~ v! m
$ q9 S2 a' r# p I& ?& `1 Lend
* c$ u6 p# P- s7 U% M, M, g" r! H% ^ T8 t3 F: c8 \, C
; T) K( j" ^8 g; d0 N
to setup-plots
0 j* v7 u) g2 Y set-current-plot "Class Plot"
& ], z9 g6 Z- i9 u* ~! r! |9 j set-plot-y-range 0 num-people
1 b# z* L9 z/ H1 R( y- l set-current-plot "Class Histogram"5 q( L, N2 a4 I
set-plot-y-range 0 num-people9 l! c3 G; _& d9 O A# ]- w* k
end
: S0 b* M' |2 R! L$ P# E
/ Q; L+ m: U0 @. {& A o8 Ato update-plots
( ?& ?2 z5 j6 {. u j update-class-plot' N4 I( g+ u( m
update-class-histogram6 ^, d+ V3 s( P) |5 I5 E
update-lorenz-and-gini-plots \. q. |/ l" k4 t: J8 _: @, a" M
end- { |4 o& e0 c
5 l& a8 o/ ~! ^9 ^to update-class-plot; S! f# Z L5 e$ p4 q5 Y# C' {# f
set-current-plot "Class Plot"' h; {1 D7 S$ D. \7 Z5 f3 a$ j
set-current-plot-pen "low"
% q0 J& B3 A7 l9 r plot count turtles with [color = red]5 p# s1 k: }3 c9 y0 h6 Z. U
set-current-plot-pen "mid"
2 D1 h: P# p' B6 S+ ? plot count turtles with [color = yellow]3 y4 v* [( |' Q/ I
set-current-plot-pen "up"
$ ?3 E3 a! y, y/ G( a9 ~ plot count turtles with [color = green]1 [# M5 \) Q( F9 M N
end
1 O1 o7 g, B" i" c- U
8 J7 h) O% j! C: I5 _/ z9 Cto update-class-histogram
) A( c* ]4 W: _% K set-current-plot "Class Histogram"& f9 G2 Q S, i: z; ~! ~; H, b( V6 [
plot-pen-reset2 ^2 l7 A% k5 V: ^7 ]
set-plot-pen-color red5 p% y; V8 z# F4 Y
plot count turtles with [color = red]
: y. x% s/ N) \3 c set-plot-pen-color yellow* B7 U m" ~) g% l
plot count turtles with [color = yellow]
6 |, I9 W1 K l4 B1 Q set-plot-pen-color green) w4 w, G7 h' M2 r6 l' l
plot count turtles with [color = green]
2 P4 ^+ ]3 _3 \: q4 xend& F3 D6 s& W+ t8 R2 E
to update-lorenz-and-gini-plots
. i$ E; A1 s- K# k1 j set-current-plot "Lorenz Curve"- n) V" k$ [, T5 ]- b- K: e
clear-plot
' z G2 C+ y- L' [3 X2 o$ T; d" @
1 ]. _ I* O$ j% I set-current-plot-pen "equal"
; ?! c1 y: C O; a" @ plot 0' r" L# x: \9 n* B
plot 100' F2 g% _8 T+ s# P7 A% @
. f0 q- E9 o2 w# R% d' {
set-current-plot-pen "lorenz"
) g0 F3 T7 f8 h& \& W4 b2 ~ set-plot-pen-interval 100 / num-people6 O6 T- Z: t/ p, F- j
plot 0 b2 A% s4 z' y$ j) c y
+ J: z2 f3 p, M
let sorted-wealths sort [wealth] of turtles
% F3 m2 E" ^* B9 T% r# f \4 M$ N let total-wealth sum sorted-wealths
3 h$ _& v, N7 V4 Q* x8 r9 v4 [8 T let wealth-sum-so-far 08 \( a n, O( W; y, F& U; F& z
let index 0
+ } O' ^* H! x& s0 {& b( f2 B let gini-index-reserve 0
, f% E) O. R# t I6 p* Q- W6 G. [* q0 n
repeat num-people [
+ E% q% Z9 Z% Z4 F A2 Y6 z set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 x9 z! S9 g( o0 K1 e plot (wealth-sum-so-far / total-wealth) * 100
' L3 E& o% N( A9 j4 ]! ?7 ? set index (index + 1)8 V& }" |6 z& t" Q p+ O2 G
set gini-index-reserve
. [. M0 h ~, N; v/ \% H gini-index-reserve +( g. W( R$ q4 M
(index / num-people) -
8 f. y Q5 Y3 S& G$ |5 h: \ (wealth-sum-so-far / total-wealth)
% {! d) e5 y* n; k2 I7 Q5 ] ]
& ~1 j, D8 p0 z. Z n& Z6 w) y2 c9 e U6 F) P9 L; [$ P0 V
set-current-plot "Gini-Index v. Time"; l5 o& r3 j" C x3 t( d& W: |
plot (gini-index-reserve / num-people) / area-of-equality-triangle0 C' B/ }& W5 k
end
. }- p# `* _' {% H4 ?5 `7 w# ]to-report area-of-equality-triangle
) x* Q1 U. f9 q% D b report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ e ]* D3 v7 y! i* e5 }4 S4 K8 ?) S
end |