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
( i) J7 z. s3 H0 Y, C1 u! [globals9 F; C( e* `( {! e C/ m1 s: O+ L
[# B& P# ]) X! n* H5 I
max-grain 9 W2 C Q: T* |6 [. T
9 B2 E$ P) {3 K' L5 [1 \, s]3 Z, f' Q; v5 C/ H. u
4 H. t) ~. r: E/ `3 H' v
patches-own
7 h2 r2 f$ m4 j1 t' q[
2 z( E; f1 T6 |# m: Y& i4 B4 _ grain-here
+ p, G4 @: `7 j9 X8 U. d max-grain-here % m, n o+ m# _# W
]
" F% T9 W# z2 z* i5 T" u0 Z, n- f% D) C; C
turtles-own
2 H" T" o3 r+ y6 w! s6 Z[# M$ M, `, O E4 |" q5 z
age
X0 [) d! ^( D/ B. Q7 t wealth
3 W) a! n0 q% Y/ U life-expectancy
+ K7 s/ W e, v4 h% ] metabolism
3 \. p3 w" Y9 Q' u$ s6 C vision' y8 c& @" @7 Y' M' L% w6 r
inherited
6 G7 l$ n$ }% ^% o; ?$ k]& }' S% R: }4 g l& S @0 z
. t! a/ D5 d) x, \$ T) a$ t+ i
# q' ?2 r1 n: v- Ito setup
% y& ?# e* c9 n ca$ a' f# g8 Y! [
set max-grain 506 @. p- T& H* W8 V6 O4 k# h
setup-patches
. s3 }8 d/ o! r- K; S5 R, E setup-turtles
2 f% Y. n- p" v; h setup-plots
# z, C6 Z- L {, ?! Q5 G+ d update-plots
8 N) p. Q9 p4 V3 _( U3 P5 m/ Rend! Z8 q6 S5 a/ U2 v
to setup-patches; Q9 Y3 I/ e% \ s# T
ask patches" f% o9 F$ x+ i+ X& e* K9 H) G
[ set max-grain-here 0! i, S/ e, B6 n3 O& i
if (random-float 100.0) <= percent-best-land
/ [8 L: R4 t$ S) P9 E [ set max-grain-here max-grain
2 h' P& @' Z- _+ r. _8 I, \ set grain-here max-grain-here ] ]
+ W: a' V2 X( C1 U4 q& N( F repeat 5. i! J5 x+ M9 ^2 M/ B6 o
[ ask patches with [max-grain-here != 0]
) g* ^5 g3 N! g [ set grain-here max-grain-here ]
7 j' J' S: E! U& U6 z6 o diffuse grain-here 0.5 ]6 ]' p6 C8 j, B
repeat 10
6 N" U/ ?6 N- `6 _+ U [ diffuse grain-here 0.5] , \" X/ _9 p1 m; K( J# v" ^
ask patches
3 m) G" S# E8 |) C) t7 A: Z [ set grain-here floor grain-here 7 |# X- o$ B8 a4 n
set max-grain-here grain-here
. K+ K5 _. N$ j recolor-patch ]
. I6 m. x4 }' m- M0 h F8 s- q" jend
# A& A' ~2 k( B/ K& b3 G3 W! zto recolor-patch 0 m9 o3 I; T5 K; j: W+ k4 {
set pcolor scale-color sky grain-here 0 max-grain
1 d9 j. A' T! B. O' W4 ?# j& w V* lend& L, J: v3 n& j* R
to setup-turtles
3 E/ t0 }# T9 {8 F4 P- | set-default-shape turtles "person"
0 i) e$ p N) ?) g5 l crt num-people
8 s8 j5 D8 O9 J) v3 R9 r [ move-to one-of patches . o( V/ E* J7 ]; ?
set size 1.5
5 T: u+ t7 c% F. b* f8 Q/ c8 ` set-initial-turtle-vars-age4 n/ u9 D4 W U9 H& }
set-initial-turtle-vars-wealth
5 h$ R/ p; ^1 w( U# w% b set age random life-expectancy ]; W P" |+ Y3 N9 ~) |7 g
recolor-turtles
[9 q# ~; {0 ? P9 W( ?2 xend
5 E5 z4 Q0 f2 B! {0 g7 V) {2 O* |9 i/ Z5 X
to set-initial-turtle-vars-age
4 q# [1 i: Q# b D/ q" M; J let max-wealth max [wealth] of turtles
, C) U: \. d, W) j D2 y6 _* r
( A0 j4 z: e# c; O; o" Q ifelse (wealth <= max-wealth / 3)
: R4 W2 f9 D% s [ set color red ' r3 q9 |6 H/ j) M& D' b1 x; u/ J
set age 0% E% l9 L% R) z' r5 ~- _
face one-of neighbors4
! x5 m3 l' J- R7 S/ n) v set life-expectancy life-expectancy-min +
8 w2 c' I5 c0 v$ | random life-expectancy-max
8 P* K; R& h! A( o5 y- r* i- i+ C% f- I set metabolism random 1 + metabolism-low0 i( |! y0 t+ f" Z, ~/ A$ E; [1 L8 h
set wealth metabolism + random 30" f0 |+ U t8 ~3 X8 m
set vision 1 + random max-vision
' Q+ K$ x8 E; Q! D6 |# \" l set wealth wealth + Wealth-inherited-low ]9 {& C# E% w+ H9 ~3 [; P
[ ifelse (wealth <= (max-wealth * 2 / 3))8 ~0 t5 R& W. {* X- h+ T
[ set color yellow # m8 p, }6 {# B2 @
set age 0
* ], O/ j& n5 t4 g% q4 ] face one-of neighbors4 ) b, d0 A# W1 y0 b4 Z6 s/ x
set life-expectancy life-expectancy-min +
7 R* `: x. Z, ?7 D1 Z2 t' N random life-expectancy-max + 1
. d* W7 |$ P' E/ i- u set metabolism 1 + random metabolism-mid
: V$ A6 h" [7 @8 m: B6 l set wealth metabolism + random 30
) J. h3 m3 o. F( {/ g set vision 3 + random max-vision2 g. @# u/ b* e/ J/ {: J. e
set wealth wealth + Wealth-inherited-mid]
( s7 X+ P% o+ f5 ~, [ [ set color green
' C2 g3 s6 N1 ^3 O set age 0
$ H0 [' o* O5 s, K face one-of neighbors4
" f6 k8 A7 Y; [+ \6 q9 r set life-expectancy life-expectancy-min +
* y( j6 h- [$ N1 V random life-expectancy-max + 28 o$ g6 _8 c( ]
set metabolism 2 + random metabolism-up+ \9 S, E0 L0 W- a7 @0 D
set wealth metabolism + random 30
& f9 u. g& X8 X( m' p set vision 3 + random max-vision5 j# m4 R2 H" ^7 |* a
set wealth wealth + Wealth-inherited-up ] ]
; U# u; `& i3 n) o6 N2 k' h
; q8 z2 `& ]" @. u- Bend) ?3 N; B+ C3 y3 R4 t" c
to set-initial-turtle-vars-wealth2 h# M" b2 h! X3 Y9 ?0 P0 I' }0 [
let max-wealth max [wealth] of turtles
' z* T4 m# Z) b. E I1 G5 k* c3 v6 n set age 06 ^! J! W* R7 ^, Q; B. s
face one-of neighbors4 8 [" R9 `, `! r6 ~
set life-expectancy life-expectancy-min +9 f# A+ [, b2 q- N7 e" G
random life-expectancy-max
" Q i7 A: d3 j" H0 x. ~; ^8 ^ set metabolism 1 + random metabolism-up
; P# a7 O' `8 F) X; k7 n- B set wealth metabolism + random 30
4 X3 b. o9 N' T. b! R6 y7 t set vision 1 + random max-vision
+ J f' p3 U9 Mend. F1 P) d% f2 p c
to redistribution
! _4 T1 V P# q+ u5 q) f3 i( Blet max-wealth max [wealth] of turtles* ~8 z6 o! r; U
let min-wealth min [wealth] of turtles
0 c1 y4 v7 u+ Y2 }0 ?0 Wif (wealth <= max-wealth / 3)( c1 k; o" X$ B' t m( [
[set wealth wealth + Low-income-protection ], K: c7 H& g7 {% C
end& z, w6 s6 t9 u. S
7 W1 R% Q" B9 L$ _- I( yto recolor-turtles
! f. e ^* e# c" X let max-wealth max [wealth] of turtles
/ P' c' J( a, I; s" X; ^" I$ m8 E ask turtles$ n3 T. T4 l; t$ U4 n' O
[ ifelse (wealth <= max-wealth / 3)
% Y3 @7 ` E' k# b1 i0 z [ set color red ]1 O- u* V \6 k
[ ifelse (wealth <= (max-wealth * 2 / 3))
* k$ \# h- F/ ?5 H1 G [ set color yellow ]
3 e, m3 X3 z0 i# D3 d8 U4 J8 v [ set color green ] ] ]! M8 ?* t; h' V4 i6 b" I& \" m
ask turtles [ifelse show-wealth?
% _3 u* F8 ^6 {- N; t& a0 x [ set label wealth ]1 f: r. Y3 O1 R) B
[ set label "" ]]
1 \9 Q* W7 {. N: ?8 ?end
5 w: T' a# B1 x' N
2 y$ d$ C9 b8 e2 M" @; d, tto go' |0 a4 _+ c! i- k
ask turtles
& ~4 G8 y7 N$ h6 n6 ? [ turn-towards-grain ]
8 j9 \5 _7 N8 }) F$ d- {$ f7 w$ Z ~ harvest9 U1 \2 @( }0 v- B) g/ F
ask turtles
4 k& k9 j, }: t0 y [ move-eat-age-die ]
, ~% }) ~$ Z T% W recolor-turtles
- w8 p/ q9 a. J/ z8 j' U. [$ ]1 ` if ticks mod grain-growth-interval = 0
0 I2 p4 ~3 v: Q, e2 i7 U z/ ] [ ask patches [ grow-grain ] ]# d: W3 b$ d: D7 g* Z. z
& Y6 Y' D: M7 ^# ]5 ]5 o, ^& B4 v if ticks mod 11 = 0
: f7 ?0 d% W$ y3 ~+ a% S) n# P [ask turtles
( D* s8 ?! `& u4 d! a" e [ redistribution ]]
# U! L" X3 p3 J0 r. p5 f if ticks mod 5 = 0 ?5 [+ E' y5 g( V1 S0 G: S) c
[ask turtles
, x; I7 @. h8 Y8 ] [ visions ]]) p# s# k5 k& ~2 S. q7 s5 Y, D q6 m
tick
1 F |$ i$ |: z7 U7 ]6 D& z+ O2 ^ update-plots
* ?9 N2 {6 Q+ F: @( Yend/ c1 W7 m" z) @- I0 q+ B/ t
to visions3 D, S" a0 f5 j+ c
set vision vision + 1 $ F# e/ S0 r9 }! \8 U
end
8 J+ u# I7 s$ ], J5 y; s& }2 [# D6 b
, I! @+ G& q, k: i
* a2 s; M! K# Z' C$ yto turn-towards-grain
, P8 C& r# d% }% ] `# J set heading 02 d3 ?1 \* K, T- b- B
let best-direction 0
: V1 S) c; t7 t {( N1 W' S let best-amount grain-ahead, m& z& G) a' F8 `; `
set heading 90
& J+ s1 S0 R) B) [& S if (grain-ahead > best-amount)" b+ x; ]& n: [: ?" E0 {
[ set best-direction 90
7 y, Y B/ q7 s" K! l6 S* j set best-amount grain-ahead ]
" n+ o4 L. R+ ` set heading 180
: T7 ]1 B; w4 l9 Y if (grain-ahead > best-amount)" b( s. i; a# Q. L2 m
[ set best-direction 180
- L' B5 m( `% e: c, p set best-amount grain-ahead ]: W4 o$ _! e9 v6 z; p
set heading 270
3 ^0 L" ~) e5 G if (grain-ahead > best-amount)
/ `, c7 M- _+ D. x+ { [ set best-direction 270
6 T( J0 D/ L" V; ~4 V: { set best-amount grain-ahead ]' A% K$ f* w6 D% D8 W
set heading best-direction$ ^/ Q. ]! Q' L6 s Z! y8 l
end# F9 Q& u1 L! W- ?( a; L' g( i
' M% H- a0 Q6 p/ u7 T7 A# t; D' U3 B* X
to-report grain-ahead " D& B! f% W' |3 M9 A7 F# ~4 \
let total 0
- ?) d. c& a4 ~; s let how-far 1
; L4 a0 j2 v, W repeat vision: a& G8 ~ E; v1 F$ i7 s. W2 @. i! j
[ set total total + [grain-here] of patch-ahead how-far9 Y' B' b( d' V( q
set how-far how-far + 1 ]
& Q$ z4 v. H" r report total( K4 }" y% a- k+ M
end
q2 z& M- o2 o% w G2 R3 U9 a7 ^1 k) y1 S8 |- _7 c, M
to grow-grain 0 s7 F. g$ _+ U
if (grain-here < max-grain-here)
2 ^" ]) g3 E$ Z" J8 J* {( e) J [ set grain-here grain-here + num-grain-grown
( p" B- e8 G4 j+ `1 T if (grain-here > max-grain-here)
: @, l/ R# c9 s [ set grain-here max-grain-here ]! W; J: F6 `! `* j7 ]2 Z8 C
recolor-patch ]) ]% P0 `& {0 y: m$ B4 t
end
/ v( N4 C. x M: d0 N: ~to harvest
7 ~0 |) v% u6 W3 [8 O ask turtles5 M# @4 m7 t0 ^
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]; J. g) i: Y) h G Z6 T
ask turtles
9 ?& G6 t7 J* G# K: @. W [ set grain-here 0( e2 h f: K+ z2 P9 ^" y
recolor-patch ]
2 O% K' o4 ^( H4 d* E , x, c5 S2 k+ | w' S4 V1 e
end
2 c& x% K/ U1 z' x! d
, S: g+ H9 ]1 `( c6 @" }to move-eat-age-die
2 b' O z, n! J; R fd 1: }; ~: C9 O$ l: L# G( e% `4 r
set wealth (wealth - metabolism)
; s) ?* X" @* |4 ^/ V set age (age + 1)
: R0 S) X! Q2 U" K if (age >= life-expectancy)- }6 l+ U1 i3 V1 P, n5 u% v9 f
[ set-initial-turtle-vars-age ]/ J/ }7 z4 t0 z( |) Z! @3 R3 a
if (wealth < 0)
1 x% }' s4 R" g [ set-initial-turtle-vars-wealth ]) K# c0 M' h0 e$ j/ g1 r: v
6 ^+ l! n v3 _! _/ X; Q
end% I, s- T7 p% _* ~
& [, i' D+ ^' d$ D1 k& j! O
( n. V) ~/ d8 o% oto setup-plots* Y: H- I5 t; E; g
set-current-plot "Class Plot", V2 i4 Q1 O1 I7 {" ?1 i* L
set-plot-y-range 0 num-people
9 T J$ Q q T! q, @5 x6 c% k5 \ set-current-plot "Class Histogram"
; c. x% ?& g/ Y- Q/ }& ], ^% y2 r7 W: Z set-plot-y-range 0 num-people; s2 C, `7 Z+ ~1 ?( v) g
end$ G, |+ Y+ g/ h2 W
/ v: N# u+ K. X# Q2 E$ }to update-plots3 A0 {+ T1 X: y7 `) n# a
update-class-plot
9 h, X! B3 H e p6 Y, B update-class-histogram) G6 |& v* c4 |# N" }! y4 _
update-lorenz-and-gini-plots8 m2 b( k5 Z% R+ n
end X' F2 R0 B# w" n" ^; i* m/ ^4 B) T
6 e0 f: ?4 p# R- Z+ ]+ ]to update-class-plot$ c% x0 O% c% O$ D! M
set-current-plot "Class Plot". |( C. i2 R9 r% ^/ O
set-current-plot-pen "low"4 Y) e- B+ ~& {8 l$ [
plot count turtles with [color = red]
4 I' E2 W# j5 m* Z, D set-current-plot-pen "mid"$ v L1 ]6 ]0 p6 }7 y/ r
plot count turtles with [color = yellow], N1 W% F% j/ [/ @! N
set-current-plot-pen "up"
' y. J+ X1 s2 j; L) p0 H2 X plot count turtles with [color = green]
( K0 q8 Y0 m2 f ` \, [. Fend* ^0 u, ~! Z' {- n0 l7 R0 v$ v
: f- K; h' I# ?9 sto update-class-histogram
+ o6 T% o; s, ]* g set-current-plot "Class Histogram"
$ S' k9 O" ]2 O9 u. C% C plot-pen-reset
8 ^5 B1 L4 A1 N0 r. D3 f Y. \ set-plot-pen-color red2 i" s( E- o. P
plot count turtles with [color = red]+ Y& ^" y4 m, I, h
set-plot-pen-color yellow
) Z. R+ U6 R4 P) _! A( }9 r+ L plot count turtles with [color = yellow]
. |6 D7 E* b6 j& l( @ set-plot-pen-color green
Y& h+ m2 A- Q. l+ \+ d plot count turtles with [color = green]( v4 U d! n( z+ h: |: p
end
/ Y, `0 {4 K# l: B/ a2 qto update-lorenz-and-gini-plots
& O3 K0 }: q+ ^/ e2 v, @" _ set-current-plot "Lorenz Curve"8 x; P3 v/ N8 C' Y; b4 z& z9 N
clear-plot# A% V# |! b! ]
5 Q6 C5 ]4 I4 \5 c
set-current-plot-pen "equal"9 ?7 |5 G( F# { w
plot 0
0 s! j( ]! o% ~" _ plot 100% c" ^ A9 F4 v. `6 R- y4 L
9 k" _: g4 [, Q" \( B5 w6 t2 S
set-current-plot-pen "lorenz" v& q0 v+ n: U# b) X4 p0 P, W5 Q. F
set-plot-pen-interval 100 / num-people
6 w) }* H5 E4 F! P$ l+ H plot 0
6 x O2 @+ }" e: l. O. S0 C* z# H5 G6 W, j' Z3 f0 M
let sorted-wealths sort [wealth] of turtles
3 c9 X( }+ `6 A let total-wealth sum sorted-wealths) v& l1 |6 k: B) |' x* U, S
let wealth-sum-so-far 0
" Z, y( k& O5 M2 K' i6 X% F let index 0
' k% y# h) X3 h let gini-index-reserve 0$ v/ ~. s3 Y) ]& e
/ P4 ?8 T, ?" ~0 f repeat num-people [& m6 L, D# X# ]) K) Z
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)& b/ ^# q+ ?: N- Z4 i* C, y
plot (wealth-sum-so-far / total-wealth) * 100: [6 ~7 n4 E- b4 @, O
set index (index + 1)
# c! _/ `, N# H set gini-index-reserve+ `5 v" |# k9 Q! }
gini-index-reserve +) i$ a3 t# p1 U8 g2 B0 J$ ]# k
(index / num-people) -3 o2 i& G C# P$ d% e
(wealth-sum-so-far / total-wealth)' e# }# N2 p; d7 a: E9 p+ _* L! U
]( S2 `' F6 B4 o) R! Y! y x& K
, Z3 L8 V; N. e& |
set-current-plot "Gini-Index v. Time"9 i0 P+ V2 q' }4 N3 `2 e+ I
plot (gini-index-reserve / num-people) / area-of-equality-triangle" j6 E3 ~& h. @) A8 W# t( ]
end
. U6 d" R9 h8 K. ~0 lto-report area-of-equality-triangle
0 j& k$ [0 J/ v' B8 g V report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
3 F. o2 N+ M) b+ t% Q4 ]end |