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) f+ O3 v, z0 g" u1 U$ G! Q! p
globals0 i# V" i" h- _) d5 D( t
[
; X8 s/ [3 ]9 c max-grain
9 V: X- G; n, F& _5 _/ f6 s
9 d: ?, z; k! y4 J4 P' O+ i]( q1 `" c# w/ M+ C/ h
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patches-own) K0 _7 g) H) B: u
[
+ N* v! u, c; [8 V3 e" h1 K grain-here " _8 e ]0 d- Y+ _
max-grain-here
9 c$ g( V V' b" G# b4 l0 }+ {]6 F/ H0 o" T' s' q& P) u0 Q
: F ?" R# x; E4 v& o6 mturtles-own
2 |. E) I! ^3 U' Z[
8 {9 J; d3 Z$ T& v2 k age
( i2 A' o' ^6 Z0 C* A. ? wealth 3 L6 s# B5 c! h& d8 K$ E
life-expectancy - c1 [ r3 F+ k2 o. @
metabolism
) H5 h2 U9 |0 h: } vision9 Q9 U+ N; L) {; Y
inherited z+ Y8 B% m0 J: v: K
]
/ J' h7 u: Y( D- w) A) i. E6 I$ J/ p8 \% Y/ S; y n7 V7 {( Q( `
, b: U# \ h$ y. n7 J9 {5 Vto setup3 f1 l# x1 t6 ?) |/ D" d0 P6 |6 S
ca
|4 b& J: b! T3 x1 L7 K set max-grain 50
: N! T: U- a5 W+ I3 r* o/ z/ H setup-patches0 U; y h; D" c: m
setup-turtles
4 k- D2 j# I% X; X6 D setup-plots
6 B3 a6 P7 G$ W$ N, r5 }( v update-plots
4 n& e# S+ |! Pend. v- q8 r2 Q8 t
to setup-patches
2 S( M# B7 j; I2 d, Q5 L ask patches3 K3 K% u5 u, N% f9 K
[ set max-grain-here 0
* `( R; B+ w4 v$ G1 L if (random-float 100.0) <= percent-best-land
7 |* c2 M0 D% q5 n6 l E( q [ set max-grain-here max-grain
" C; w2 V }: Y set grain-here max-grain-here ] ]
6 p) y6 i Q3 D! V& g f repeat 5
( V1 I- D) c8 ^% y) }' l. t [ ask patches with [max-grain-here != 0]0 d( w* X$ J( J2 W" ]) K
[ set grain-here max-grain-here ]9 M9 B( x! R4 P. f# k
diffuse grain-here 0.5 ]# r7 g y$ g, |* I7 ]' n' ^- i
repeat 10
# ~ F: E% ?. M [ diffuse grain-here 0.5] ) P7 d: z. H: O
ask patches% P; u/ a* v' l5 b
[ set grain-here floor grain-here
% t9 s+ c: P) n3 H: N X set max-grain-here grain-here 0 @# e) w" e* e' G! e z& M
recolor-patch ]
( f6 p1 G( e& Aend
0 }0 L6 C% ^0 M3 i9 ^, tto recolor-patch
& C( I8 C1 F3 Z) x, z! w& M set pcolor scale-color sky grain-here 0 max-grain. O6 d7 y- b0 x% S
end7 F& j8 @& ]; n# V- y3 y9 X
to setup-turtles
) Q+ N$ }0 F/ U set-default-shape turtles "person"# Q% f) i. V' \
crt num-people
# y5 z' R) ]* a [ move-to one-of patches
; x1 d- ?1 s, ?4 \ set size 1.5
1 b$ A T5 t% `; `: m( C! W set-initial-turtle-vars-age8 e" q- O/ c) ~9 W( {
set-initial-turtle-vars-wealth7 V, v! F$ I# H7 ^1 }
set age random life-expectancy ]
7 c6 T9 p% e4 M& A& N* L recolor-turtles* O0 F+ w( X' m0 z0 l& U
end) S% e" J& d2 i! J/ z
1 w% M: y% ?9 Y* H: `; c
to set-initial-turtle-vars-age9 H4 ^1 u& E# X- E6 }" r6 }
let max-wealth max [wealth] of turtles
* g7 P4 y. Y3 ~4 r$ \$ l
9 U& W/ W4 A6 r$ d D6 @ ifelse (wealth <= max-wealth / 3)
! V) _( f+ r7 [3 ]' f1 u8 @5 {0 \ [ set color red
7 R3 D0 H9 J1 P" r( S' z set age 0, U+ O( \' B9 P: n. G! t
face one-of neighbors4 ; F; u, U+ }9 l1 a
set life-expectancy life-expectancy-min +
5 p& E" ^/ e* j random life-expectancy-max
u7 |; D4 o, e3 I. ?1 q V& N0 ]- N set metabolism random 1 + metabolism-low: W0 ^% x! W* p
set wealth metabolism + random 30% l7 R- l- k0 B* y1 H$ ^
set vision 1 + random max-vision
# f+ F* S! N- y" _. L) \ set wealth wealth + Wealth-inherited-low ]% E0 \% R2 Z- a/ n& ^! Z, Y: ~) p
[ ifelse (wealth <= (max-wealth * 2 / 3))
* Q& X8 a' x$ ?& H% _ ~( f0 f [ set color yellow
% u% u% w& {( O, ^4 I# {3 ^3 Z set age 0- Q- [( d) x: P( {; ~- ^
face one-of neighbors4 & O# ?( u4 W. T. F/ Q
set life-expectancy life-expectancy-min +
/ d& B. `5 O4 U9 L; D4 W; r* I random life-expectancy-max + 1
* b. e: ~, j6 ~3 D* n2 X set metabolism 1 + random metabolism-mid4 Y! D, m+ x3 q- @* Z. L
set wealth metabolism + random 30
; R8 A) l9 j4 _ F( J4 F- B! r: O$ `- Y set vision 3 + random max-vision' y7 }3 \( W8 Y7 \. N
set wealth wealth + Wealth-inherited-mid]1 c$ U7 ~3 o) e, ]5 U7 z
[ set color green
, M3 G8 d( d! Y/ E set age 0
8 O8 ?$ E9 F' d% V1 V face one-of neighbors4
9 A, z+ m' ~; F2 o( x set life-expectancy life-expectancy-min +* R' ]% C" j; Q% u2 D2 R. y3 r- |
random life-expectancy-max + 21 p) L9 g k2 J; E
set metabolism 2 + random metabolism-up
$ D4 N$ ^8 W; P. S7 G set wealth metabolism + random 30
% t# Y9 g8 {/ L: n) T0 A+ t7 } set vision 3 + random max-vision
5 T5 n- `- x; N) r+ L set wealth wealth + Wealth-inherited-up ] ]
; L% R& _8 C n
4 g6 d/ r! x; R/ ]; j* F1 Hend
/ p- I. c/ I# W/ j L2 tto set-initial-turtle-vars-wealth
; p6 k" l3 {7 r* l' B L* V J" A4 j let max-wealth max [wealth] of turtles. `# o0 @1 S4 j8 o7 j
set age 0( r0 J0 C! l/ N+ u x( ~2 }
face one-of neighbors4
$ B [+ K+ Q& j: `% \ set life-expectancy life-expectancy-min +
! l$ |5 _6 {; u2 { random life-expectancy-max
J- k0 A4 \3 X! d set metabolism 1 + random metabolism-up6 Y( H% G6 |/ x; \) W
set wealth metabolism + random 30
; _/ ]6 N7 C6 U8 ^% p$ @# e. ? set vision 1 + random max-vision 7 z4 Q! m! y1 B; Q" x+ u
end3 G) X, T/ K+ k( n0 H
to redistribution
# ]; R) O2 m `, Z! Z0 Dlet max-wealth max [wealth] of turtles
3 `, [, i, p9 g# E3 V; ~let min-wealth min [wealth] of turtles
5 [% y! s# I) N/ c$ gif (wealth <= max-wealth / 3)
7 I2 r$ ^& \; Z7 Z7 { [set wealth wealth + Low-income-protection ]
* H s) H# p2 Nend2 P) r1 [0 k0 @ q: y
- b# K+ H% d( R ]) Y8 A" `
to recolor-turtles
0 C. d P* v: y: c0 E let max-wealth max [wealth] of turtles
. o$ ^* t2 }$ v' O% e8 W5 A ask turtles: V2 {, L4 M# ^* T
[ ifelse (wealth <= max-wealth / 3)
$ O3 M @$ B# z$ K1 x8 w [ set color red ]% E( E8 v, Q1 E# W, o) X0 c. C
[ ifelse (wealth <= (max-wealth * 2 / 3))
, J" w: R2 H# p0 v [ set color yellow ]# T+ X1 K Q- k; l
[ set color green ] ] ]
( e( C4 ?* v1 O' H, ^! Z) D* _ ask turtles [ifelse show-wealth?
1 S4 z0 ]* n3 C/ }# D# Z% n+ S [ set label wealth ], v# |- P# `0 z& w1 S
[ set label "" ]]
~1 F c4 p5 yend: P. ~, [. o0 ?. [7 g3 z5 Z) ?& ?
' G/ {# k9 I, r) }5 x4 c( G3 N# w
to go9 q0 k* v7 O! f) s3 B$ Z6 R5 }2 X
ask turtles
8 ]8 |* s- c* Y4 J [ turn-towards-grain ]
3 |0 h0 S. R F/ k; x4 p* l; P harvest0 \" d2 `1 T, D( I0 r
ask turtles
( o1 D% a$ m3 G: C4 w5 B5 s [ move-eat-age-die ]
9 W$ q6 ^) \: I0 a; a recolor-turtles
) B% c9 ~ F) @8 G if ticks mod grain-growth-interval = 0- @. G- X5 Y7 m; ^7 A3 B/ i* ?
[ ask patches [ grow-grain ] ]3 M. O$ i. e6 ` p
7 C; L) C& _1 D) t8 L/ G1 Z5 b if ticks mod 11 = 0
2 S) M( z/ L2 @; k* ~' j$ ^4 q [ask turtles5 [" N+ C4 j0 G$ k
[ redistribution ]]4 k, [+ |) U' a; {
if ticks mod 5 = 01 l. {8 z% q. M. ]2 [7 \
[ask turtles( W4 f; {4 E( |! e
[ visions ]]5 [2 {) `" T: y$ M
tick! h' z7 g' j8 T8 @. Q$ a
update-plots
0 G+ V7 O5 `2 m, W0 L9 pend
' q4 W, J! k' A4 zto visions
3 l9 \7 i* ^6 A1 `; A9 p! C2 k set vision vision + 1 + ]$ x T! [8 \1 w2 o
end7 l. g; J8 _' k6 L" K
: f' w/ M. A3 r0 K# c/ \1 E# Q. V6 q6 c6 I) m" z4 J/ o
1 o- I5 e5 C) O2 L4 [
to turn-towards-grain
$ l7 W- {2 E. J# c4 p6 J set heading 0
( _$ F. u8 ^% ~: m/ V let best-direction 06 M. p1 |: i' D% Q6 K2 }. V7 |
let best-amount grain-ahead
# S6 i. r6 k) p, }6 ` set heading 905 i" |6 G' p0 h% J) F
if (grain-ahead > best-amount)5 d4 U5 l) v W+ u0 @( C# m' _
[ set best-direction 90
7 k, J* ]8 R7 L4 C+ M, {7 H0 r, @ set best-amount grain-ahead ]
# c+ v2 f7 e, A1 m4 ?' N, x4 s set heading 1807 [: Y0 F( M( d9 n7 [/ @
if (grain-ahead > best-amount)
: z5 [ O4 Q' r! b. l [ set best-direction 180
' \+ e3 k6 x/ v% P" r* M; u set best-amount grain-ahead ]# D3 [7 R& i* b1 q$ ^. W
set heading 270+ E7 S7 l* j6 f4 o+ v
if (grain-ahead > best-amount)# X S: X4 p2 f8 A+ v
[ set best-direction 270
& A* C. q8 v0 u# i& r set best-amount grain-ahead ]+ l& _ [- D2 ]) {* G- g. a& N0 |
set heading best-direction- F, o- s" f J0 P A
end
8 K( T: u) w2 {" W. W/ x0 [& h% B3 e* l" R; v
) L' r1 ?6 u; X' f- E6 [( e0 oto-report grain-ahead
& h- p. r5 n2 `. n let total 0
4 M% ~; F( [7 t, z, H9 K# L let how-far 1! m$ \! e7 N5 j3 D# b1 @
repeat vision
+ e! L, r& A' ^/ t% L- n! X( p [ set total total + [grain-here] of patch-ahead how-far
5 p. @6 K) N v: e) W set how-far how-far + 1 ]
# E) m* V) _; g% ~ report total7 M' i4 [3 R6 e6 A" i
end1 H) R! z* `# O. @7 e
' x7 s8 F+ u; \ Oto grow-grain , d# i' q0 G1 Q, j
if (grain-here < max-grain-here)
7 S, ^4 ?' b$ c1 l( e6 z2 ^ [ set grain-here grain-here + num-grain-grown' c& V9 b7 L0 E2 ]# J
if (grain-here > max-grain-here)
( s) M, c$ n4 E$ A [ set grain-here max-grain-here ], ^0 W( |' `9 y6 k& R S$ z& x, R
recolor-patch ]
. X& c4 n5 @$ v# A1 Tend
# M. @) F# {+ M+ e2 |to harvest
8 A# E, J# m1 @, o ask turtles
' m/ S2 |9 f2 M [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
2 \! o7 }; L, q1 h% W ask turtles
^3 s) _9 Z/ N9 |) V; L+ d4 t [ set grain-here 0) J# P, p) {0 d( s: P1 R
recolor-patch ]" l4 q8 \$ j) ^. j: h8 k m
, _2 v3 P+ x2 h; I+ g( G
end: Y: V9 ^" ^: a; W" [1 u1 k0 m; p
: N. R8 `. k0 V% z6 Qto move-eat-age-die
/ C" N7 E$ C2 d' D3 M fd 1
* x% o+ z& R3 Y* L4 E. [ set wealth (wealth - metabolism), P3 S1 M% h0 B
set age (age + 1)& t$ R6 E7 R2 B
if (age >= life-expectancy)2 F. N. r& l( f7 Z8 p
[ set-initial-turtle-vars-age ]
" ~, a8 z# {9 V- f if (wealth < 0)
) |3 n! L& i9 w+ n; [ [ set-initial-turtle-vars-wealth ]% i/ V; l% R4 }; ?8 d
2 v3 Z" x2 b n+ W4 ^9 ^. Yend( y/ l$ m7 j) u* v
, E9 J' X) J9 F- k! m4 c, z- w% Y. q5 f6 |9 i# i
to setup-plots- ]3 b/ k% |5 T1 k
set-current-plot "Class Plot"
- X$ u! V& J% R$ T2 U" d5 h( o } set-plot-y-range 0 num-people
: m" c% u( V$ q d2 H& P. I set-current-plot "Class Histogram"
: x6 C3 [( v/ d set-plot-y-range 0 num-people( X$ p% l1 i& C) U. Z8 j- H3 J
end- A( R$ ^" w7 Z0 Z. ^1 }' ?
! S5 f5 x4 w/ T" ~# I; d/ ]to update-plots7 T; c% i9 n* E: M) L
update-class-plot
2 i2 P( u {5 a: i3 u2 k' I6 L update-class-histogram6 \1 V$ Y! _0 M p3 ^, L
update-lorenz-and-gini-plots. H: v& L2 X+ M$ [
end( Q( M0 ?+ w2 ~ d+ I, {
% u% J/ c* \$ I7 N8 S( \, F- v
to update-class-plot% w: Q7 q5 A; i7 [) x4 X" r7 e
set-current-plot "Class Plot"
! ^" g) v6 [) f+ D set-current-plot-pen "low") V. B4 b" i5 g( l: _3 n! ]9 X
plot count turtles with [color = red]
) z$ r/ Y' { E- ^% t set-current-plot-pen "mid"
$ H' d* j6 _3 J) e' B& {: F8 D' L, { plot count turtles with [color = yellow]. H! ]0 C p1 f) v& ` p
set-current-plot-pen "up"2 c+ T4 E, ^3 R. W6 D- I
plot count turtles with [color = green]
2 S: Y7 ?0 i/ H# V! bend
8 @$ z: _. q% ^, W
9 W$ O" w- M9 C; Uto update-class-histogram. V- j7 {, C. F: [: V3 L
set-current-plot "Class Histogram"" B$ O$ u( ^/ @4 L, ]% }+ a& [$ Q
plot-pen-reset
1 n" @! W5 B h9 o! B set-plot-pen-color red
% ~! B4 h5 e9 _" ?+ H; U plot count turtles with [color = red]
/ M W2 r/ s; k3 M0 ^" |; e set-plot-pen-color yellow7 |& i l( I1 _' d- N# _
plot count turtles with [color = yellow]
# h% f" O; f& l& r. X: {" j set-plot-pen-color green) S' @8 X$ e- v$ h5 J
plot count turtles with [color = green]( k" I! F# `+ i7 @2 k7 p u1 t
end" U6 u7 x1 T4 j5 |: b3 D/ J. x7 E! \
to update-lorenz-and-gini-plots
5 V" h9 K, z7 F! T4 `" n set-current-plot "Lorenz Curve"
* }' v/ y8 [2 I8 U( T |4 o clear-plot. E7 { t x: h% m' Z
! Z b& o9 K8 D1 T set-current-plot-pen "equal"5 d. }" M1 q. P- V2 s2 Y
plot 09 W5 A; P0 m, L4 ^( E
plot 100
$ \# U( A$ d4 ^+ {- r
3 S7 ]0 D ^5 b set-current-plot-pen "lorenz"' e3 u- ^ p3 r9 }0 u9 Y
set-plot-pen-interval 100 / num-people
& x6 s5 s* F2 W. _; C plot 0
5 M& A4 f2 ^; s$ u% @& m( N
7 @+ R. @' n0 j8 a let sorted-wealths sort [wealth] of turtles/ q8 c/ q1 Q( R" S
let total-wealth sum sorted-wealths
' ^" b/ Q! q& y6 L2 g let wealth-sum-so-far 0
/ w( e1 j" V0 ^ let index 0
6 Q5 \& C/ N6 ^: k' } let gini-index-reserve 0
/ c1 T, I. k4 Y/ L) M- [- x2 A+ t$ s7 m8 Q4 \$ f
repeat num-people [
, r2 O3 s+ r7 @ set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 V3 Q. z8 F' b3 j8 m- U: b plot (wealth-sum-so-far / total-wealth) * 100$ @8 `2 f/ b* c% X! g4 [' F
set index (index + 1)7 b( i: U' B1 I) V/ t
set gini-index-reserve- @! ?% C- X0 s3 D/ d
gini-index-reserve +
; w* J1 q% }$ z' }8 R4 I& l/ _ (index / num-people) -
# x! \+ c! c1 t/ F% M (wealth-sum-so-far / total-wealth)4 [# l/ G3 D/ z2 b( p5 O! p$ B& M
]. S/ S( \: l% A
; Y5 {- _ t1 {- n+ [1 {5 y set-current-plot "Gini-Index v. Time"& F: s+ x6 N j* c7 `5 R3 K
plot (gini-index-reserve / num-people) / area-of-equality-triangle& y7 M/ \( q+ h+ Y2 @/ }" C6 `
end8 w- a8 i) Y, m; h, x* d& [9 Q
to-report area-of-equality-triangle: I9 ^+ } _2 m
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# u% V4 R. V i3 y/ d2 C% M
end |