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
) R1 ]" O2 `8 T/ `5 Tglobals; S+ z+ }% E" h5 k
[( W- f2 ^/ B) c' `/ v, U, O
max-grain 1 H! ~, Q' C# Y0 X
. T- e4 s# S! ~
]
2 m. D# \ Y- V& |$ E0 A1 d
4 p- o- g; t( ]8 N) W: Epatches-own$ o0 H3 D3 I% a7 M6 a) l
[
) m( \# x% ]( z; G grain-here
8 Q5 f& N0 n* @" o, ] max-grain-here
2 w0 ]: O6 G1 i2 r; b]
+ I" u' z0 T# |* A: q8 a
( H7 x: b& e* Q1 Rturtles-own( S) s* y: g1 Y0 x( x3 H
[ D4 A8 D/ y/ n$ X8 [8 B
age
* @& \* m3 n/ y" C wealth 9 Y& r0 s* q7 z: n( \6 ~
life-expectancy
/ `7 L% Z: |; I$ Z, y metabolism
, Z. k [1 |7 K3 h2 N vision' x3 e, \ A( ^9 n7 N1 Q2 C& G2 P* m
inherited
; n& \7 \0 H5 n; t# }) S]
7 z$ G5 Y8 h: u* b3 E! y* ?( Y4 I1 p- e. u
# c _+ E% u: G' ~to setup5 a1 C/ |- V. V$ S( L
ca
- v& G, n. ~5 G7 }, g& h% O, D set max-grain 50
3 M( ` ]. t( d2 {- z setup-patches E; e2 U0 J0 N8 D6 [$ o# U; c
setup-turtles
% I. {- H, D0 C- _) V4 ~ setup-plots: X/ N: A- Y9 j! H, A, p
update-plots$ {- ~/ g8 {* q
end
$ J7 A/ [: l+ Bto setup-patches+ z# B9 l1 P3 ~4 n- C
ask patches- X* V9 L1 f& @* }9 E
[ set max-grain-here 0' @( z# x2 z8 @9 r. y/ b3 Q% z
if (random-float 100.0) <= percent-best-land
0 e- r6 k- x4 y: {* ] [ set max-grain-here max-grain
% K- O; [9 K- N4 Q set grain-here max-grain-here ] ]0 g6 n- n0 s2 [7 y
repeat 54 {, ?8 l+ d7 b
[ ask patches with [max-grain-here != 0]% Z2 T/ L! Y/ X6 t" @9 X& _$ g
[ set grain-here max-grain-here ]3 o# ~! i9 x; d8 G6 x: u' q
diffuse grain-here 0.5 ]$ Z$ c* P9 R' G- y
repeat 10
7 p" e$ o" \, m7 T3 B& { [ diffuse grain-here 0.5]
# f1 E5 R) |8 b' B7 A ask patches
* { h: |: q( e [ set grain-here floor grain-here ) N7 \! {4 j$ ~9 R2 p
set max-grain-here grain-here 5 u7 W9 l# v5 ~9 n2 Z
recolor-patch ]
- h5 v9 k1 k6 m. X5 `1 ?) ?1 r7 jend
( \. T- ~: @+ j; ~8 Z' W2 u. oto recolor-patch 2 L1 `4 a$ t4 l1 O/ [8 a- F$ X
set pcolor scale-color sky grain-here 0 max-grain
) [* e+ @+ ^& y4 F* u( Uend$ m# n# C4 p7 c1 ?5 N u
to setup-turtles$ Z6 C0 T0 {6 x
set-default-shape turtles "person"
4 A$ ~5 D, T% i! Q$ W crt num-people
; U2 O) A0 L" C7 Z) Q, N [ move-to one-of patches " z4 Y2 g. }3 u
set size 1.5 / [# `% ^; W& C0 ^3 d9 R
set-initial-turtle-vars-age
- E0 Q+ Q: F1 ^' }& @ set-initial-turtle-vars-wealth4 ^( J% r! o( j9 U) P
set age random life-expectancy ]
) T9 n: X+ t, z recolor-turtles
$ `+ ?& S, j& P. jend9 a; x0 O, W1 j( M8 W3 }
, B; w' ?5 i1 |9 l6 h& Y. p* ^% U
to set-initial-turtle-vars-age
' g. G! Z( X( {. f- _ let max-wealth max [wealth] of turtles
) }5 [! {1 h5 [; K2 B! l $ O# I' [: [3 W
ifelse (wealth <= max-wealth / 3)! \6 f+ l: C3 D# H0 H
[ set color red
9 v# G" l2 z. O0 i set age 08 I4 g* ~7 C) Q; S& O0 u
face one-of neighbors4 0 T+ | [8 J$ } y+ R
set life-expectancy life-expectancy-min +- ] X$ P/ ?3 ]! `4 P
random life-expectancy-max
3 [2 p) F; ?7 } set metabolism random 1 + metabolism-low$ J: z r* \7 q. I; W8 W' |- w2 Y$ s" I
set wealth metabolism + random 30
& y" D8 e }* |9 y* Z set vision 1 + random max-vision
1 ` e! M0 c. c9 C8 _* x5 ] set wealth wealth + Wealth-inherited-low ]* M$ I! j& g L/ X2 Q" {
[ ifelse (wealth <= (max-wealth * 2 / 3))
8 O) H+ J' s2 ]3 K4 Y5 W6 l [ set color yellow
7 j+ l3 y. \3 J& O* y2 l set age 0# L' u+ i* O0 B6 g) L3 S+ x# g
face one-of neighbors4
- H" [% _+ c; W; a e set life-expectancy life-expectancy-min +5 c, }( b1 s* {0 D* p$ s1 R! ` \7 A5 [
random life-expectancy-max + 1' P3 B2 D. V* @, `5 t
set metabolism 1 + random metabolism-mid
$ ~. |( E, U: U$ d. r3 V set wealth metabolism + random 30
- |4 x) ~9 R# g, c2 f set vision 3 + random max-vision# y, x& Q- U$ S" v
set wealth wealth + Wealth-inherited-mid]
1 K/ P8 O' B% e+ g) B5 W [ set color green
2 h4 Q. t ~1 W2 n% V8 b set age 0
, N" E% `3 C/ B) O face one-of neighbors4 ' r; `7 K$ U! d; ?7 L, W
set life-expectancy life-expectancy-min +& f3 C7 U0 s" M
random life-expectancy-max + 2
" Y. S/ C' T/ x) x% O set metabolism 2 + random metabolism-up* ?3 v, a5 q2 n( @& j
set wealth metabolism + random 30( L& N1 r# g% Z( {9 g: u
set vision 3 + random max-vision
( [' P0 B4 ~5 }" A) O6 T9 } set wealth wealth + Wealth-inherited-up ] ] ( z" Y) I8 E E+ g! B; D
6 V ^) x' E8 B: lend
3 x G3 m! F% bto set-initial-turtle-vars-wealth
, m. F( f6 w" M; r" _+ ^ let max-wealth max [wealth] of turtles/ s/ A$ k7 k. l8 V
set age 0
7 d) n6 c4 g5 U. e5 T& b face one-of neighbors4 1 D4 v8 @: [$ Y8 I1 G
set life-expectancy life-expectancy-min +
7 J3 d/ F3 _2 r, y% f# X9 n, G random life-expectancy-max 8 p' v9 M. R% y) D, E* C$ }$ h
set metabolism 1 + random metabolism-up
U( r' Y- C* F- x6 D' R set wealth metabolism + random 30
5 z( J6 b% i" p9 z3 g# f' Q4 c set vision 1 + random max-vision
. u" D; w2 e* X, @0 h! R) Iend
0 J/ Q' V& H; ?. H( w" I3 G. `4 ?9 {2 \to redistribution
* d, T$ A7 `: e: klet max-wealth max [wealth] of turtles
4 i: C2 D+ V" S/ p- j+ G* r& s6 q4 }3 r9 tlet min-wealth min [wealth] of turtles% Q" E/ z6 x/ J* u
if (wealth <= max-wealth / 3)5 V6 J4 f3 X7 C a
[set wealth wealth + Low-income-protection ]4 `- Z: Y* c8 P5 X8 D
end
% s6 X, B7 w6 M% r+ o6 } \) a" b 9 x) u4 M) Z+ j4 [9 b: C
to recolor-turtles
) g1 G( m! I* J let max-wealth max [wealth] of turtles
$ M* J7 [- D6 J! H3 ?( W ask turtles X; k0 P9 n9 o9 m4 @! C
[ ifelse (wealth <= max-wealth / 3)2 X* C) c5 W! i" E7 K) T
[ set color red ]
" Q4 e( Z4 l2 E2 U [ ifelse (wealth <= (max-wealth * 2 / 3))
w' s- n& Z# e7 Y [ set color yellow ]
9 l0 Z+ B0 L+ C0 ?, r [ set color green ] ] ]/ G" P V8 u+ Y6 T5 c- I4 s
ask turtles [ifelse show-wealth?
6 d$ j9 Z5 Y( L. G: E [ set label wealth ]
2 W& \/ g! J% Q( C: j! V+ F [ set label "" ]]
. B( j8 P1 W. B+ lend% v' ]5 D0 `5 H9 z8 U
3 M' F8 p; E/ N) j
to go \* v# | R( R4 K
ask turtles
; M! Y, O$ j9 B9 d5 V [ turn-towards-grain ] / i/ P! ]0 E8 y; B5 Y( ?
harvest
+ t% u: J x# ? ask turtles( z( t' _7 x3 t: I% t$ G: Y5 m
[ move-eat-age-die ]
, w8 F( A% U+ c" Y0 s- p& b recolor-turtles9 q% {. s& h# Q3 j5 b1 V
if ticks mod grain-growth-interval = 0* M' Z6 \' R! w! x0 Q+ }1 ~
[ ask patches [ grow-grain ] ]& J* d w! g* W. S R
/ p; g# m: b) A if ticks mod 11 = 0% _0 T* |+ f g
[ask turtles! y u# F3 E& L) M8 p: K$ z
[ redistribution ]]
; `: s# S4 {: h( N1 H$ {: I; h4 h" P if ticks mod 5 = 0( O5 \9 D- `( p) h
[ask turtles" Q+ W3 J9 X* A+ Y
[ visions ]]% a, C# W* i3 b8 h& z- }0 K
tick8 _0 d, T" N! L) ~
update-plots
& A( {7 l6 @/ P5 k3 A6 m9 q: j) tend
$ `; J$ V0 M0 R. |8 Lto visions! U: F( `/ I- p' z+ E
set vision vision + 1 7 Z. _2 K/ r3 X, a& t
end, `8 I; v- N# @9 ]$ L) O7 Y
; n) l8 `7 S6 C6 R4 M6 G' V& W
r0 t3 o; S3 D! f( Y
3 g9 n. g7 V' L* T; W1 hto turn-towards-grain
4 B8 U7 W' e- [' R6 K$ I set heading 0' P9 m) l7 n6 O/ A$ n
let best-direction 0/ g4 v4 c, y1 o9 i/ |' C. d
let best-amount grain-ahead
4 F# @! y8 o7 j" v- v9 G' Z set heading 90
3 H9 h9 J- I& Z5 V if (grain-ahead > best-amount)
- L& H2 [# i4 v [ set best-direction 90
, G+ W+ F- E) X) r0 r0 I set best-amount grain-ahead ]
" Z& z: r$ p- |! a$ g4 i% Z/ F set heading 180% F3 K& |5 u r$ y6 L% d0 P# v
if (grain-ahead > best-amount)
/ p7 \& v! M' b4 j5 o- J [ set best-direction 180
2 z6 q5 s5 N' d: @- H set best-amount grain-ahead ]: M, D: o9 y& i0 p+ H% @* W
set heading 270
! M% N2 N, G3 \+ o" k# z if (grain-ahead > best-amount)
_: m1 E# n! j [ set best-direction 270( E& Z% z4 R) t( Y
set best-amount grain-ahead ]+ ~- I1 U) `& P" n# F
set heading best-direction
( j9 R, B/ k* e" ^; Y tend
. \# @3 X1 v9 x% v) V* X. H. _/ ^# I3 |+ B F! I3 B& [
! r% n( D1 ?1 `# Rto-report grain-ahead
7 Y' n$ y" C4 \7 N4 x let total 0
/ _- z4 `, r3 ^" A# Y& R" m6 s let how-far 1
+ Z6 X' q$ I( M) z- u repeat vision
" d; d( L, r. w3 K' u q [ set total total + [grain-here] of patch-ahead how-far$ B5 p4 q- O$ f, U7 A$ ]+ |2 o
set how-far how-far + 1 ]4 ?3 E; f: _* |+ [. q- I- H: Y
report total
! s5 K4 S& i* `end" ^ y. h) {0 p# k
) A+ g7 X1 P3 F) ito grow-grain
0 i- e' r2 t; E8 P" E% @ if (grain-here < max-grain-here)( k$ U; t* l5 @0 w: R" y
[ set grain-here grain-here + num-grain-grown5 d' ~7 E8 p1 n2 T: Y: l: Y
if (grain-here > max-grain-here)
1 S: T" C' q6 J0 A [ set grain-here max-grain-here ]
v/ E3 k9 e `) _/ _( @ recolor-patch ]
0 K( p- ^2 w7 ]6 }( A! Nend! ], p* Z# Y7 U! n
to harvest
1 ~1 q" U+ }3 W& D# W4 H8 P ask turtles
: {- N2 H; {5 O7 q2 A3 q: c [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# U( B1 j0 [3 d9 ]" G$ U
ask turtles
; q! f f, e' t1 Q, u, w- q [ set grain-here 00 l. y, j L+ d
recolor-patch ]( c' w/ ~: B: r8 ^5 \
8 a. H3 M) ^. ^/ |1 nend
' T. u/ F/ S' o# b* {. O7 p* Q: Z; e9 J9 {8 b( \
to move-eat-age-die
! T( A" O. U" c4 g% { fd 1
5 k* ^) ^" ~4 x" c9 w set wealth (wealth - metabolism)
. D3 t5 U& F% R; B& n set age (age + 1)
7 M- A6 A% [* ]8 l if (age >= life-expectancy)2 O8 K0 z# X# n" C) R, N
[ set-initial-turtle-vars-age ]2 W2 q' ~8 n- t; n4 S/ W( x+ s0 z, m1 n
if (wealth < 0)& N, x6 L8 k5 N T, @- I
[ set-initial-turtle-vars-wealth ]
( l# L; u$ @* i; b1 l9 L 5 r1 `7 f1 i% Z+ k
end$ \1 \$ e* } j% P
* V9 E' J* S+ Q7 x& M
5 X, a! U) y/ b5 t3 U$ x( C' ~) U4 A' x
to setup-plots
' ?" m5 }9 p1 _8 ^. ~' m set-current-plot "Class Plot"
' T+ Q8 q* g" G9 i9 @3 U set-plot-y-range 0 num-people
) K$ P; ^0 r3 v) U. l set-current-plot "Class Histogram"
4 j0 _7 s$ Z$ E0 {: J) x8 w set-plot-y-range 0 num-people
: P4 g& q2 ~1 S% }end
( P& ~; j* a# m+ \
2 j/ h p6 I+ S! c- F7 Mto update-plots9 P+ J& C4 ]) @2 c
update-class-plot
3 B9 w) Y. K3 \; R/ T! }$ D2 k update-class-histogram. W5 m# R0 s3 @2 C
update-lorenz-and-gini-plots) s& q; H+ [; I9 X
end
" R8 B2 m0 @8 `; j3 H% d
) d3 o: J& |; j3 a. W0 vto update-class-plot
4 L/ ~3 Q; D8 P9 G: p set-current-plot "Class Plot": h `( J+ y7 i- S4 ~
set-current-plot-pen "low"
8 o/ n4 P2 [/ R9 I plot count turtles with [color = red]: z# H7 z5 O1 p) b' M
set-current-plot-pen "mid". _% J) x# M3 D; B
plot count turtles with [color = yellow]
5 P, J% Q3 ?' } set-current-plot-pen "up"
2 N2 j( @$ w3 h( ]! e plot count turtles with [color = green]4 Q* l/ ]: v: b. f1 j5 r+ G! G
end
@1 d" Q3 r0 m, Q/ w) C, `$ y8 P
to update-class-histogram
4 w5 _; S, X$ @3 R9 _. i) O set-current-plot "Class Histogram": \% p. J; i7 o5 t/ Z
plot-pen-reset7 r# L" b7 }& z1 v+ S7 N
set-plot-pen-color red% A- p) [' }. {% @5 ]( p) e
plot count turtles with [color = red]/ c/ T" [2 V% Z f9 u$ R# @
set-plot-pen-color yellow
. _, }1 x0 Z# ? plot count turtles with [color = yellow]; u3 U1 e' E; ^9 T( b( W5 ^5 `9 U0 R
set-plot-pen-color green
7 r: }7 E2 d( q6 u plot count turtles with [color = green]
" h+ Z# o- _ C' p0 ~: A5 Oend
, m" {4 O0 j; K: I' U2 A2 Nto update-lorenz-and-gini-plots6 G2 r; G7 e' H# J0 g4 H
set-current-plot "Lorenz Curve"
. |( J; G! \" e @. z O! C clear-plot
) u1 U; N; c& A( ]9 V8 h( m' C; p7 l7 Z3 R! K
set-current-plot-pen "equal"
! G/ w/ n+ E. q& W) P plot 0+ x% E) v' t e% l! D- }
plot 100+ p3 h6 A0 f4 L) u
5 L" s* w& _. F6 A* S0 v
set-current-plot-pen "lorenz"9 k; C" y7 z! z9 h
set-plot-pen-interval 100 / num-people& o* h5 Q! r& U/ P) b/ }+ }
plot 06 o& X- Z6 O4 \9 F2 q3 n, [
! r, i# q9 I6 R4 K let sorted-wealths sort [wealth] of turtles
7 z' \- w9 A3 j6 k. u let total-wealth sum sorted-wealths
. _: }. A4 L- D let wealth-sum-so-far 0
. H5 J6 m2 u. p" b let index 0
, r7 @8 J6 | `4 y. S let gini-index-reserve 0
* }& P; j/ I% X" M! @1 \& c _% C3 k- i W. P5 g
repeat num-people [! _7 Q1 y1 g/ V" [9 G+ U
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
5 Z" L0 h( T5 @8 V! ^! H plot (wealth-sum-so-far / total-wealth) * 100& w$ Q& Y8 t2 a& x {$ n7 p% R0 e
set index (index + 1)
0 j9 m2 [5 ?3 e set gini-index-reserve
- L$ b, d" i1 z. X gini-index-reserve +
2 \! r$ Q* |. b9 U# x (index / num-people) -' ^+ |8 |3 }: M' k+ @
(wealth-sum-so-far / total-wealth)
4 h; R: X" a6 t$ J ]1 F+ N0 t6 ?! t0 c
( b* n, ?) N+ C- E set-current-plot "Gini-Index v. Time"- s. q, t, i) K1 E2 a) \
plot (gini-index-reserve / num-people) / area-of-equality-triangle' C% l8 s% f' z7 c. q5 m
end2 @) O& J2 m7 y, i8 Y a
to-report area-of-equality-triangle
5 _ S2 J; H7 @4 S9 C& Z report (num-people * (num-people - 1) / 2) / (num-people ^ 2)" k% Y' j1 `( r
end |