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
0 h- K: |$ r$ {) _! f& O5 Gglobals8 i9 e4 B0 c2 c( p/ S+ i
[
6 B$ O4 Z+ f* X7 H# R" g- V max-grain
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, v' I0 x& [2 F8 @3 W |: x% ]]. i+ J% d6 r- D/ L( }
0 \4 e6 m5 o/ s, q" J& }1 s1 T( rpatches-own4 J) Q7 o# e e7 S0 e- C& ~( Y
[
, J+ R2 y' `8 c9 x6 p( u grain-here
' y( ?3 `9 U! m, K" N max-grain-here & i: X- Z" v0 o( d$ ^
]* U6 o0 i, B, x
: d3 w3 f! }# pturtles-own+ j7 h$ r9 D: q$ r
[# O0 Q0 t! Q1 y( q# b# B% P8 {% Q
age 8 O$ _4 }( F! l% x
wealth
4 O% w' w: N1 Z1 p life-expectancy
* r2 p: r$ n4 s' ^* I% F- ~ metabolism
; G6 _! u0 k+ n8 o6 z5 d vision' @) n6 b! A5 q( L7 b' R# q
inherited . Y7 q$ z* C; ^
]* Q2 \6 t- Z0 G$ I) ]$ M' \
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! x$ t, m) W3 Y( ?
to setup* {2 M/ I- X6 A4 V
ca
, D/ b2 W5 p5 s0 L1 v3 m0 ?4 K set max-grain 50
6 q' q) v8 L5 |4 j setup-patches& W; V1 z- H" A7 q) w" n7 b1 `
setup-turtles
/ m! L% b2 k* n+ J8 |* j% L setup-plots
5 L$ g0 K7 y8 ^5 M: _ |" i update-plots! B. `. f: i2 f3 J2 U _. x" S
end
8 ]1 T0 m' ~1 |% |% I7 _1 V, ato setup-patches9 J" A7 P, ^# T1 w
ask patches- Q6 \( m/ u* O* o# y* i+ X
[ set max-grain-here 0: @& t `% i y) A# ^( w, s
if (random-float 100.0) <= percent-best-land
$ `) m1 J0 p9 ?6 y [ set max-grain-here max-grain
6 |( P! s- G0 V, y8 o( r set grain-here max-grain-here ] ]
: t' R' t- A1 U; F8 X3 R, Z0 k, e6 V repeat 5 S3 L5 v! y+ u+ @
[ ask patches with [max-grain-here != 0]) o! h7 f- |6 u
[ set grain-here max-grain-here ]( Q- y8 Z; ]$ H; r
diffuse grain-here 0.5 ]$ e' Q+ s3 Q1 F! d
repeat 10 X( Z+ e6 M6 ?2 O
[ diffuse grain-here 0.5]
6 V& r' H' b& ^; Q+ Q$ y! D ask patches
3 a3 @7 @7 i4 U8 j7 M( Z8 W [ set grain-here floor grain-here
: l& w ~& o% m, Z# [ set max-grain-here grain-here
0 Z3 ]2 I9 u+ n( F4 a0 s" s0 \& f recolor-patch ]
% p) D- M7 F+ g$ d3 Rend$ v7 ~$ G( U" B0 G$ y+ V$ T& n( j$ ~
to recolor-patch
, l4 w4 K4 d% V) U" n* X% |: u0 } set pcolor scale-color sky grain-here 0 max-grain, G" k6 n" J! X+ R( [3 ^, B! h
end2 ~/ t% V. L- q4 I$ p* N9 r
to setup-turtles6 I+ q) Z! G) b
set-default-shape turtles "person"
/ H2 ?+ p* v8 u& S+ ]8 d crt num-people
6 W) R+ @* N9 u9 `+ e [ move-to one-of patches
" z+ @% `# I: L set size 1.5
! `3 P* Q* d, p$ k* X) K set-initial-turtle-vars-age# |4 |' V# Y( |7 h9 _+ O
set-initial-turtle-vars-wealth% N3 `% L9 y! ~! x9 ]/ s
set age random life-expectancy ]) n; Z S' O7 x' _) v0 a
recolor-turtles2 V+ J, A# d6 e2 J7 t0 Q
end
6 u4 a# }0 V9 ? W9 m# g$ K0 `4 f: p$ z L! R5 N9 ]# u3 g: g8 _5 ?
to set-initial-turtle-vars-age, x" c- e6 t# E
let max-wealth max [wealth] of turtles- W* m' |* u$ B# z) v' U; t
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ifelse (wealth <= max-wealth / 3)& F9 w+ h! G6 E# E, C
[ set color red
8 Z* q# B1 b) j$ s# m' r! f set age 0; T- ]/ A% w5 t4 J
face one-of neighbors4
& b% `( U+ L( H set life-expectancy life-expectancy-min +( p" S; P( D2 o. j+ Y; _5 ~
random life-expectancy-max # ^# ]0 ]" p9 d% k0 }
set metabolism random 1 + metabolism-low
( H0 @8 B- t% ` Z set wealth metabolism + random 30
+ I7 M5 s6 k, k. F0 E$ O set vision 1 + random max-vision
8 A# e- q7 P/ g6 u set wealth wealth + Wealth-inherited-low ]
q) a% h4 q4 c8 k8 p x [ ifelse (wealth <= (max-wealth * 2 / 3))
9 ^2 c1 O, a6 b1 a s. ` [ set color yellow
5 a* k6 x/ o! f( E, S set age 0' x! L$ r% L, Y/ u3 `* y% D9 ]
face one-of neighbors4 % K9 J7 a/ j2 a6 t0 j3 x1 D$ s
set life-expectancy life-expectancy-min +
l3 r) R3 D1 [: R random life-expectancy-max + 15 [) E3 W1 n1 H- }6 A& h
set metabolism 1 + random metabolism-mid
w! [6 d! C7 Z: f set wealth metabolism + random 30
; J6 D8 Y: |3 V8 T3 F: ?* L set vision 3 + random max-vision
- m' \ w' v/ k: o5 _# g B5 k set wealth wealth + Wealth-inherited-mid]
# p/ Q) U/ o9 s0 h6 r7 v/ | \ [ set color green / B" ?4 n2 r; l' B, d5 a4 z- E
set age 0
7 ^- @# O) D$ m, x, { face one-of neighbors4
! e; x* N8 l; d7 }6 ]. E. G set life-expectancy life-expectancy-min +
: F( @! w) V3 v* J( {$ ? random life-expectancy-max + 2* L0 L) t3 {) r- B. `; l
set metabolism 2 + random metabolism-up
. R; \/ E f8 E. a. V3 ] set wealth metabolism + random 30; |" z# g/ p9 v
set vision 3 + random max-vision2 m7 [# t7 T: C
set wealth wealth + Wealth-inherited-up ] ] v0 D) z+ U0 f4 v5 h2 {* k
$ r1 ~4 ?) A* `; ^' |7 C( p& r1 m
end3 G% W( P) c; ^
to set-initial-turtle-vars-wealth/ G/ t" i5 ?- W+ L" {
let max-wealth max [wealth] of turtles. m( M6 J& W& F: r( `2 r/ a
set age 0. u! D) ?4 v8 }0 D7 T1 Z
face one-of neighbors4 * Y# J# k. O- K. p' N
set life-expectancy life-expectancy-min +
5 P6 `+ U" @7 a* r random life-expectancy-max 8 W# p r; f! E# x" i7 M4 s2 G% O- E
set metabolism 1 + random metabolism-up
+ ?$ D$ f4 d% D+ `3 o, x set wealth metabolism + random 30- _* p( t) P3 t3 s8 D5 s, g
set vision 1 + random max-vision
' Z- a. Y% ~; w: b% jend- {5 L+ N/ ]3 V& O+ m5 c
to redistribution+ V: u4 D- J- l0 p7 \; C
let max-wealth max [wealth] of turtles- X+ x$ q) [9 M% ~5 V
let min-wealth min [wealth] of turtles* d/ B: C. H9 M! E# |4 N
if (wealth <= max-wealth / 3)) }5 s) h& d$ g( l, s& q3 d- N
[set wealth wealth + Low-income-protection ]
0 x- k+ k& g: M% wend
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to recolor-turtles- b. C9 B d, m
let max-wealth max [wealth] of turtles9 E5 c" t) ]* U
ask turtles
- B1 v/ S3 z# i* b" D% y [ ifelse (wealth <= max-wealth / 3)
7 W% l. q) M. ]- E* ~. Q" h [ set color red ]
9 l0 X) L: i8 K' Y [ ifelse (wealth <= (max-wealth * 2 / 3)). {2 c/ a0 a; r: q% R. P7 a
[ set color yellow ]& B2 H: _( l9 y0 D4 Q# P7 A) D' n( S
[ set color green ] ] ]
, f; P1 I2 {5 U/ A ask turtles [ifelse show-wealth?
4 I ^1 j2 g5 D) \6 k [ set label wealth ]
7 V. t1 [6 K5 E, w [ set label "" ]] M2 p) @" d7 J: X. u% y
end/ b+ ~- E7 T* L$ o2 F% W0 N J
! \- d5 s& E% j5 t0 zto go# |6 l8 g5 c, D6 C# c5 a6 T
ask turtles
) R+ i; }$ t4 r- B1 b& y [ turn-towards-grain ]
! S2 U/ B: ]; U harvest
: Q8 v+ ~, O3 S7 C# L ask turtles
! x8 R3 |$ e9 B6 J4 c* w; I [ move-eat-age-die ]0 P* N. a' P2 |8 q8 Y2 P9 s H
recolor-turtles
" y: q1 @! O# L4 ]- r3 H7 u if ticks mod grain-growth-interval = 0
, I5 a( E& U' o4 ~5 e [ ask patches [ grow-grain ] ]1 R# R& Q2 O1 }1 S. R- W8 L, R+ y
! [) D" y0 v* a$ Z2 s7 l
if ticks mod 11 = 0+ N3 V) J5 S K2 v1 `- U1 f- C4 v8 Z
[ask turtles
) v4 h q8 G! n5 P [ redistribution ]]
/ b# r1 b2 I& ?6 n/ S5 g- F if ticks mod 5 = 0: s0 y- w; l% E C) {$ S
[ask turtles
4 h: c) Y0 w' E; h [ visions ]] M, E" g$ _8 V6 _
tick5 q/ e$ M5 G8 j0 y5 C* Y
update-plots
2 D& }% \, y" L. eend
; {" \0 @* J: W# }& Z7 G" S8 v+ F3 A/ n3 yto visions
- n" z( n: r3 g- d% G0 L9 d$ D# Z set vision vision + 1
3 g+ t8 {0 q) ^, }1 mend
1 \1 L* U+ P* O; ~8 u! q. h6 [2 s9 w7 p
3 C5 _7 U' ^+ y: P" X) |
) o3 N% W7 g- s9 gto turn-towards-grain 9 Y) s, r- Y0 q/ X
set heading 00 `! a/ f- |9 a0 C6 M0 S8 z" _( Z
let best-direction 0
3 L; @( Q: W2 b6 {2 |. B let best-amount grain-ahead
- N- `- C' B& W set heading 90* J3 ^6 _) E3 d8 z! T
if (grain-ahead > best-amount)& F n& z& w1 Q- E. `
[ set best-direction 90
6 D$ B7 [- v, S1 r: j8 T- q. I$ E set best-amount grain-ahead ]
. o0 B( M- C; A6 }2 s4 | set heading 180
& N3 G' q/ n. s if (grain-ahead > best-amount)! i# P/ T' G9 H! F8 k. g- g: J
[ set best-direction 180
, F. T$ _. y" X' f set best-amount grain-ahead ]' |) w! ^4 l3 ]# J3 a: n* T
set heading 270
& p9 P4 x, Y; I$ f0 p/ U5 S if (grain-ahead > best-amount)
; N8 ?% b3 M! Z S; G6 a! r0 J5 } [ set best-direction 270
+ u% V7 E F; S; Z/ ?- o set best-amount grain-ahead ]
" \9 I) f- v5 f2 {, ]0 ] set heading best-direction/ b9 a2 {- s" n$ B9 n+ R
end$ O4 N; ^0 \0 v {5 g8 i
! @! {! h9 C0 W1 h3 L
9 n! d- a, n2 L* _) k9 f+ yto-report grain-ahead
$ {! b/ L. E6 c- l* g* E let total 0 | I% W6 [4 B7 d; O/ V D
let how-far 1
8 _* T6 G! U& k9 J9 z2 j# H repeat vision* h; Y. w7 T0 ?
[ set total total + [grain-here] of patch-ahead how-far
2 N4 z" G! c) }) Z# m5 W8 k( } set how-far how-far + 1 ]
& @' x* H3 X, r( r4 ~5 N7 z report total
0 u8 T" X; _# O' M0 fend+ r9 y5 P1 C3 {
+ D8 s; r& ?# U# d9 qto grow-grain
& g! M6 w6 Z F' N7 T7 K if (grain-here < max-grain-here) | N; r9 h C' n8 D" p0 r
[ set grain-here grain-here + num-grain-grown
9 H, l0 D8 d9 R if (grain-here > max-grain-here)
7 p+ g; r5 H- G' E4 K6 g [ set grain-here max-grain-here ]6 y7 B, c3 l2 q9 D6 P9 ^
recolor-patch ]
( f3 o2 |* F7 C9 G wend0 ^: {. z/ y3 x& ~& c7 m
to harvest
( B0 ]' B9 O) d5 S- J ask turtles" C0 g) D% E6 f0 w1 E) o
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ m) d" m6 C: e
ask turtles
' H$ _0 g% O @- c [ set grain-here 0
: H' q; @7 ]! [2 ? recolor-patch ]2 p( S% r8 S' J. ^! B
& H- k8 j# [; Y1 f6 v1 J* n
end6 ?7 @0 P3 P, I4 }# J& n: `9 d
1 ?0 Q: c8 }) _' g3 ]' D" C6 Y0 @
to move-eat-age-die & e$ ~" K5 Y* W' I$ u
fd 1" E0 g8 U* S9 A+ A; A, Q* y
set wealth (wealth - metabolism)
; A& |) S' P: ~$ p set age (age + 1)
0 a4 X! n2 ~2 W: U6 n* X if (age >= life-expectancy): z! @ j9 C: Y5 h
[ set-initial-turtle-vars-age ]$ E, ]* M: ], l& S* ~0 f3 W; }* y
if (wealth < 0)3 l% x6 E N/ f
[ set-initial-turtle-vars-wealth ]! }- l' F' Q5 L7 ]- q
; n* P& n4 w/ c7 e' Tend5 H* V: L) l2 O
- _$ a8 T ^ G- G
' p9 E8 F, P3 {! l! K2 \7 mto setup-plots
) x4 D$ P. e) n4 R set-current-plot "Class Plot"3 B7 J5 D& H2 _! W+ [
set-plot-y-range 0 num-people
8 B' t6 b) k- w8 P: ~9 Y% l set-current-plot "Class Histogram"
+ w" |$ k0 @9 u1 z5 J- h$ m+ H set-plot-y-range 0 num-people
8 g/ y, A) h, f0 w2 x& S7 ^7 |end
1 b3 c! U( X# T( G! _ ]. |8 z1 m5 s7 F `
to update-plots
# P" q# o J! O( @ update-class-plot
! e* n2 q1 v% c2 f update-class-histogram! @* a! c; A$ m6 e8 J0 j
update-lorenz-and-gini-plots
2 q& O- D/ I) I7 Z! qend
9 i$ r" C; F. l: z; K, s4 I8 E9 i1 Z
5 d; ?' ^/ g/ ^/ B9 ito update-class-plot$ ^3 X8 Z/ q: r* f/ I4 _
set-current-plot "Class Plot"
9 Z& a Y% L w9 y+ ~6 z; O set-current-plot-pen "low"8 r9 U6 w5 |7 U ~: T S
plot count turtles with [color = red]
I. Y9 n, s; \% u# c set-current-plot-pen "mid"" a- C! r+ D8 n% R3 @
plot count turtles with [color = yellow]
. p5 N' o2 d4 q" n- x* e6 ^ set-current-plot-pen "up"$ y( k h0 I8 M* }1 b L
plot count turtles with [color = green]
$ A/ Q; Q3 C6 A: F3 g9 D9 ~end ~) p" o7 V; ]: J' k% r
H- @8 | u& e/ _; Zto update-class-histogram
1 T0 ~3 X* N- S4 `5 G) [0 H7 Q, q5 u set-current-plot "Class Histogram"9 s# Z: F* H1 ~8 d
plot-pen-reset
* u1 `7 {* W5 K( y2 y set-plot-pen-color red4 T; Y/ V) N8 n+ ?8 H! ~
plot count turtles with [color = red]
/ Y3 i0 ]: I0 p0 l set-plot-pen-color yellow( \1 Z7 Z/ b0 C+ }* |1 ~7 T
plot count turtles with [color = yellow]+ O R" H+ _% a% M" f) Y
set-plot-pen-color green: R, \. H# l, g0 v. {& @
plot count turtles with [color = green]4 w( p! G* Y' R0 p F) Q' b! w" ~
end" Q. _. W, d. P! \! T" e$ [4 Q
to update-lorenz-and-gini-plots' Y9 y. \% @) `% Y5 {
set-current-plot "Lorenz Curve"
4 e' j7 g) d8 n5 ^6 w& J- x, \+ F clear-plot3 P- i0 c9 b9 I. v
" j8 f# u8 i2 w! p1 w8 o( \ set-current-plot-pen "equal"
, w; `; O( P8 i5 T0 o+ b plot 01 H$ S4 k& d P6 I. v
plot 100
* t* R# x \1 R7 F
! @, `1 }7 X! H* K# I* v1 _ set-current-plot-pen "lorenz" p( L/ k, u9 u
set-plot-pen-interval 100 / num-people
# z3 c$ B6 S- J plot 0( M2 l1 k" N/ }7 J6 M+ p
& r2 p+ a" A3 b: ^: }# X: {6 @ let sorted-wealths sort [wealth] of turtles
* X6 }! k5 a# ?4 \5 S T) F let total-wealth sum sorted-wealths& ~( R; m' X6 y+ n
let wealth-sum-so-far 0
* A6 m7 X" y+ J6 l3 C let index 0' \+ f8 `: R6 Q# k) f
let gini-index-reserve 0
. l3 a# o" H# _* c3 r6 @! m" \6 ]3 H z
repeat num-people [
6 t8 U/ ?9 V2 ~! C$ M& E1 R set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)4 f/ {6 m _0 g4 R' L: N
plot (wealth-sum-so-far / total-wealth) * 100
0 r; m2 U" M+ O( a" k set index (index + 1)
: K9 B) P, n" V; B; a( \3 K& g* W# D set gini-index-reserve4 n- t+ Y7 F# J; l4 w+ s
gini-index-reserve +
b5 e/ T' H1 K+ W (index / num-people) -
5 `" t- B7 [/ ~9 `4 h0 u (wealth-sum-so-far / total-wealth)& B) c+ @# D/ W) O3 s0 f
]
+ g( {8 R) y. w
- a$ B8 i4 V: j2 R7 V& ^ set-current-plot "Gini-Index v. Time"
2 ~8 ]" P4 r: J plot (gini-index-reserve / num-people) / area-of-equality-triangle" P5 ]' @1 z/ T' {+ }0 P
end0 Q. O, d [6 O3 Q; v; x, G
to-report area-of-equality-triangle
j6 b9 f- O2 m t report (num-people * (num-people - 1) / 2) / (num-people ^ 2)5 p+ X% c4 P# j0 J
end |