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
# v N7 x$ ], H6 Wglobals o- ]& R% O; |9 |& B2 j5 A
[
; P3 [ Z3 I8 d* n1 K max-grain 7 L7 Y2 G9 C0 \
4 b6 b$ T0 H0 v% Q0 b8 _8 l4 e]/ k9 E! M9 t9 `9 w0 P
\ A' o* {; V2 w' h X! x
patches-own
" I9 Y9 N8 d6 c3 ~4 `- U i[
% M6 w+ \; O8 T! O" B" ^- J grain-here 9 R8 ^" s4 s, v0 W
max-grain-here $ `3 ]! T+ y" I: Q8 Y
]
7 x. E6 d) x+ J7 ^& |
0 F! j) X" o0 H* B0 ]turtles-own3 c6 f9 D2 i% ^' z* t+ m; Z
[! g% M3 b8 Y- f6 G# m* v- r
age
& i" y" D3 z" H! L wealth
9 W- q( i& ~4 H life-expectancy ; S0 A2 w; Y# `* Q( t- m, c
metabolism
5 d3 l1 \$ V6 D: L0 L4 ? vision, d- V4 t% [. X! i# C9 s6 ]/ F' G0 |
inherited ; ^$ m0 ]0 _# y: ?& t' C
]
$ |. |6 Z* H7 y9 ~2 f C) f. O- L( B: T' \7 |+ h
/ j+ p/ s: ]5 |% k
to setup" N! u# T( q" e
ca1 N0 x" w# D. L
set max-grain 50! Y8 s/ `/ u& K* i6 [: @4 s; ]9 }* I
setup-patches
" M; r6 D* J" `& l' v4 o3 I setup-turtles3 M0 p, j0 \; G- e' O" }( B
setup-plots9 l6 o- x! Q# i, W) W
update-plots' V2 D7 [% v* u) u7 Z
end; H5 Q {2 H- i) |
to setup-patches" H4 A- f: Q2 N" w& ]
ask patches
2 [5 f2 a( m9 z/ S. i. ^4 J& Q [ set max-grain-here 0& X6 Z5 O- e, r
if (random-float 100.0) <= percent-best-land! E" P# I3 M3 `5 Q: g
[ set max-grain-here max-grain
0 _/ [. Q& R) }: a set grain-here max-grain-here ] ]( Y, m7 r# C/ X, A; p! c3 i- `
repeat 5
* w" f0 L1 V3 E% K9 `, n [ ask patches with [max-grain-here != 0]$ b! i9 H) g0 c6 F# u- A$ f
[ set grain-here max-grain-here ]
3 y% E7 C# f8 i# Y: [. l$ B. _ diffuse grain-here 0.5 ]
, W( D5 H/ A5 ~$ I" g7 V0 J1 } repeat 10
. N% ]' L0 j3 Z2 F" L" e) u8 q0 w. I [ diffuse grain-here 0.5] 6 \7 w6 j! [. F' e
ask patches" {4 ]: J. x* b! P9 d: j. o
[ set grain-here floor grain-here
3 g3 X8 S( J, e1 m" C) q set max-grain-here grain-here , Z! b: q# q9 N7 I
recolor-patch ]
6 t% _5 F K8 n+ [6 T! Gend1 A7 D2 _* \/ F8 D2 |6 p
to recolor-patch L* ]3 q( a* S+ \
set pcolor scale-color sky grain-here 0 max-grain
/ U$ F2 i* O5 q5 F& n% t/ Hend
" e9 M1 @0 i8 k F5 J, a8 J& Y' U6 bto setup-turtles$ \: J4 i3 u7 a1 q; r
set-default-shape turtles "person"6 V: V; p, p% n# y l
crt num-people; E4 H/ I7 H- m! s( ~, \7 S
[ move-to one-of patches ( [' U$ T0 I- M3 C# a
set size 1.5 1 I" v' O% a+ W& f3 G0 H* B
set-initial-turtle-vars-age$ H4 ^/ ~+ M) k' E1 P$ W
set-initial-turtle-vars-wealth
; B3 F C9 D$ \- N! u3 Z; C set age random life-expectancy ]
4 w( h) g/ b. n6 O# e recolor-turtles. }; t7 f' g4 k2 j; }, R) t$ ^
end7 S$ D( W/ i; X
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to set-initial-turtle-vars-age5 u t5 h: r; z
let max-wealth max [wealth] of turtles
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$ h/ r1 v% F+ a" z n+ g ifelse (wealth <= max-wealth / 3)0 H+ H9 F. w9 k! J
[ set color red
; W. i) ^ {4 ^7 `5 [7 @* u set age 0$ r2 R# k: c. X# J2 W3 R
face one-of neighbors4
1 U7 z; e& m, _1 ] set life-expectancy life-expectancy-min +9 H" W( u4 ]9 C* W/ ^0 d1 t
random life-expectancy-max # i6 ^9 S+ r, D- c
set metabolism random 1 + metabolism-low$ ]4 B* w4 b: m( A; x
set wealth metabolism + random 30& ?( O; B% y/ C1 L, N0 o! V( [; I
set vision 1 + random max-vision/ y# h9 e1 D# C4 |, h; `
set wealth wealth + Wealth-inherited-low ]
q( E/ \) q+ n/ z0 k# D4 Q( t [ ifelse (wealth <= (max-wealth * 2 / 3))
6 S; V. U% }# W; Q [ set color yellow . ^+ Z" V6 i' h' `
set age 0
3 }3 \- _# c8 B) l face one-of neighbors4 7 n2 t( K S# S9 C+ N% V$ t
set life-expectancy life-expectancy-min +% ^ H0 k6 N. Q6 i8 V, T5 b
random life-expectancy-max + 1" V( o. k6 _9 |' q* s. B$ `+ x
set metabolism 1 + random metabolism-mid# _, N& a0 B7 w. g' |
set wealth metabolism + random 30
$ j# b1 q1 ]! j5 b! T ` set vision 3 + random max-vision- H3 Z$ |. m5 I# U0 m. w5 c; V
set wealth wealth + Wealth-inherited-mid]# L' C* s/ J# B" m" n9 p
[ set color green & n, u. f2 b: \9 ~. Y
set age 0% o; L! B$ `# \9 I: B7 j: V' e
face one-of neighbors4 & K/ f9 v$ ]+ F- M5 N; k; Y" o3 o
set life-expectancy life-expectancy-min +3 K( Z" A" h3 | @* J+ R
random life-expectancy-max + 2
, v- V7 ^* r0 b3 ^8 s) N" Q set metabolism 2 + random metabolism-up
8 A* l0 E8 E) ~ H! O J set wealth metabolism + random 30- c- l7 V0 U0 J8 b) q5 _; c% a
set vision 3 + random max-vision( w5 [/ y$ ?9 ~( e0 k( H8 f
set wealth wealth + Wealth-inherited-up ] ]
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' T6 s8 L4 l; P* xend
2 k! O6 M; g0 R) G. Y/ A R0 Lto set-initial-turtle-vars-wealth. W- @7 Z+ A* J! z. \7 O/ W5 D8 q
let max-wealth max [wealth] of turtles
4 k. p0 S' K, ~7 q! i2 ?# f9 e set age 0
4 j7 B( H; x l5 `' v3 K6 K face one-of neighbors4
1 n. V4 j% \9 P3 z set life-expectancy life-expectancy-min +5 h( L3 z) x, T+ o& t% A, W
random life-expectancy-max - q6 F5 h2 G& r. e
set metabolism 1 + random metabolism-up# a- ^' G9 H, b1 v4 \3 f9 t
set wealth metabolism + random 30& U. K3 M4 ]5 _5 V
set vision 1 + random max-vision # a# e6 d, z$ k; |) g- U6 V$ \
end
( l. _) _* y+ A8 R* h2 Zto redistribution
9 O7 z4 |8 ?; R" h; z5 l- t( B5 f6 X* blet max-wealth max [wealth] of turtles! S$ d0 P( {0 k5 s' P
let min-wealth min [wealth] of turtles
& `0 k. T* d0 n9 z Hif (wealth <= max-wealth / 3)
* S6 L- R0 X+ G8 n* S9 P2 G [set wealth wealth + Low-income-protection ]
5 W M: z' i. a; qend# W- ]: g! v' H! H) Z
/ _7 S- p) x9 b
to recolor-turtles
+ h; W X1 H/ a ~: F ?! i2 K let max-wealth max [wealth] of turtles
7 T# I3 D2 {( Z( w) ^7 O5 G ask turtles5 M% Z3 X/ @/ R4 o8 R p$ u
[ ifelse (wealth <= max-wealth / 3)
4 {' z* K7 u- l. U6 R$ k0 S [ set color red ]
( o% G; T7 z1 Y& M2 ~* a# Y1 b [ ifelse (wealth <= (max-wealth * 2 / 3))4 ?+ \5 A; n& e
[ set color yellow ]9 Q$ n/ i. n7 r( u3 R
[ set color green ] ] ]
; F# u7 q* [# Z4 E. Z0 ^ ask turtles [ifelse show-wealth?
" ?3 U$ s. o# ? [ set label wealth ]! I8 S: D8 c) }6 `: ]
[ set label "" ]]
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' y% z, b* [/ a8 v& sto go0 a" c. c0 d+ L# f4 e! a
ask turtles
6 |: d3 T; q6 O- a7 Q; a+ d [ turn-towards-grain ] " d! f4 y! J5 |7 h0 {
harvest" Q, P5 H5 o/ W$ ~
ask turtles
1 U8 u5 V5 q ~1 D [ move-eat-age-die ]
/ c$ Y& I4 a P& L. ~4 k1 O recolor-turtles, R4 e& C0 A% s- g( \9 C* h% `
if ticks mod grain-growth-interval = 0
8 X; H! T5 X4 @9 O: m [ ask patches [ grow-grain ] ]
! p. S) X: H: S* G0 v; C: G' x / T% T8 Q8 S2 ]9 l9 K P
if ticks mod 11 = 0- ?2 ^3 v9 s8 t2 `
[ask turtles
d/ e( v7 ?! A [ redistribution ]]$ N' r5 `5 q9 z0 ^" W' O
if ticks mod 5 = 0
* E+ B: O) f! A% e$ X* O9 Q [ask turtles3 |* ^, _) F( c" G& ^. Q
[ visions ]]
- O ]# r, p0 N' `5 I+ M2 c tick
" L [1 [9 V; h! N7 f, g7 C update-plots
3 ]! h1 I" z0 ]$ @1 e/ dend
% V* n$ R- I/ b6 U. U/ _& T# gto visions
# b. |* O6 \0 e3 x& x set vision vision + 1
! y! f# G8 b0 f5 C9 T) Vend& w5 _. g2 i/ B8 l8 o9 M4 |
2 j) v( a ]" ^# _+ Z3 w2 c( i4 Z
! e9 Z. l0 t2 x2 `* Y
; U- _ J' }7 q+ O5 Tto turn-towards-grain % `3 |6 J& t8 v- z2 M7 T# g" a
set heading 02 s" ~1 j( j. N1 ^6 O: \: m+ I& j
let best-direction 0
$ G) J4 R( l8 @, G let best-amount grain-ahead8 {2 C5 ~3 l" S4 v
set heading 90
$ G6 j) Q5 x6 v( w6 C if (grain-ahead > best-amount)
+ k0 K1 W2 D* a! a7 z [ set best-direction 90( S* B# f1 s$ p
set best-amount grain-ahead ]
4 R2 a$ M; F, y$ ~( _ set heading 180
# m/ X' C$ }" C; R if (grain-ahead > best-amount)
+ w1 M) }5 s" K+ j( W: x [ set best-direction 180
- W( `0 I* b" y5 K- s2 u( {0 X: k set best-amount grain-ahead ]
- s: D# R- d% `. {3 w set heading 270
6 _4 ~% D- S5 @; J+ L+ H! M/ s9 o if (grain-ahead > best-amount)
5 @3 X/ ^5 M1 y- ~, V; Q [ set best-direction 270
5 r6 ^5 R8 Z& c0 m. |: x, W set best-amount grain-ahead ]5 O L+ d5 O6 y& R' @, ~/ z. O+ m
set heading best-direction% Y& e! M0 ]! F2 U7 x! V/ J- r
end: G6 j) d' C+ U" s
) S" {/ Y8 Q8 O5 e
0 k7 s* H u. Q$ ~to-report grain-ahead
/ V* \+ s( L' b1 H( m let total 01 L( H' Y" N5 S# ~
let how-far 1
" q- k+ p: P! W repeat vision
' ]. @% Q3 t& @: H0 X7 b [ set total total + [grain-here] of patch-ahead how-far
! K# Y4 k3 p+ G) h; s6 `4 e set how-far how-far + 1 ]+ ^" W& ~3 c" e6 k- y
report total
+ R2 h [ _& m U8 a) ^! Fend9 k% @# F3 U. D
/ k$ r- V* p( ]( _, V) N( P+ C# M$ nto grow-grain - {. B5 z @; C* p! h) d- N
if (grain-here < max-grain-here)& ^9 F! T P8 _5 U/ S7 t- ?* R
[ set grain-here grain-here + num-grain-grown
5 Z1 z* t4 H8 d0 d# v5 ]$ \! o if (grain-here > max-grain-here) 9 u8 L' M( ^7 j5 t7 I' W! p3 `5 t+ ], E
[ set grain-here max-grain-here ], W4 d% x) D! s: l' s2 G
recolor-patch ]! J1 f! Q c N2 x" J7 A
end
; a9 T4 J0 R' Xto harvest8 h* k: h, @. N5 h; s4 d
ask turtles6 A4 Y* g9 x. q" g' y
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ] T4 n$ }: [) F4 ^7 m9 t5 K
ask turtles0 b9 K! o' F7 |! N/ X+ [
[ set grain-here 0
( v+ Z/ ~7 x- j" z7 } recolor-patch ]( @5 G p5 s2 ^+ |
% a3 Q7 K7 O' E9 Z! `0 Jend
9 u" o7 U# \) A8 Z1 }9 I0 d w% ?1 U2 |% |$ U1 M6 c/ K) v6 [
to move-eat-age-die 0 a" a5 j; c* `0 H4 ~+ T6 [
fd 17 U" z/ C$ D2 {3 X E5 c2 E8 P
set wealth (wealth - metabolism)
7 w l, b8 Q+ q5 V set age (age + 1)
$ x4 v B! ]: j2 m5 ?+ O) R3 r if (age >= life-expectancy)3 C* v) K5 M F
[ set-initial-turtle-vars-age ]
4 z7 @2 n' |' H5 @% w if (wealth < 0)* y7 B4 p p V
[ set-initial-turtle-vars-wealth ]
# N l, o. o3 m% ~0 l& a' n/ P
. [! J; [* p3 |: vend) T3 B. T. ?( T# c g7 N+ h
1 s) V( t9 U' E/ k! q! s. d$ {* a, U6 O0 C! J
to setup-plots
2 E6 N- {7 i4 c6 _ set-current-plot "Class Plot"+ {4 C1 c5 W- f) J/ S$ P1 H2 W
set-plot-y-range 0 num-people
" F2 e* w1 s2 m1 H; n set-current-plot "Class Histogram"
: m5 H6 x( }" G; R# a+ w! Q! Q: k set-plot-y-range 0 num-people
- M5 B8 d# s- z0 f' o. z7 {end
0 r {: B1 r+ j! g" a% P5 L/ C( y: h5 _; h, I& z, @1 O( G. e
to update-plots
" X) H! G: Q' U6 \/ I8 k update-class-plot8 Z1 v3 e9 a) S% f" Q
update-class-histogram
' J8 S9 z/ e* D! [ update-lorenz-and-gini-plots4 G/ `& @2 k( y! T/ x
end
8 `( z/ c3 G1 K( X0 l" T
0 c4 d6 n1 {! E( Qto update-class-plot( _& q( S1 T3 U% W4 D% Q
set-current-plot "Class Plot"5 Q/ r N. ]# Y6 z
set-current-plot-pen "low"
8 L5 N ^, o3 d. { plot count turtles with [color = red]
! U+ |0 L9 k' f set-current-plot-pen "mid"
: c; G* p& b9 h3 [0 C plot count turtles with [color = yellow]# S r2 | q7 h M
set-current-plot-pen "up"& X: r$ }6 e3 _4 b1 G
plot count turtles with [color = green]& W0 U- N! d' a7 k. t* l
end2 ^- {) D! _3 _9 L4 a/ A
( w' Z+ ^2 f" e% A9 F/ Y. U1 |/ W6 W( h
to update-class-histogram+ K# b) q* v, Y& t! S1 \! e
set-current-plot "Class Histogram"
1 f7 p M: u# _5 T3 }1 {6 w) O plot-pen-reset
+ M |6 E5 `/ G7 P& \& r: y set-plot-pen-color red
$ k i% |7 d+ R' t" x9 A plot count turtles with [color = red]( O1 a1 k* Q* {) z9 B) n) _
set-plot-pen-color yellow
5 z; O1 C/ w- q- G) h4 P plot count turtles with [color = yellow]
F/ d) Q. |! E& ~& W' b/ Q3 d+ G set-plot-pen-color green4 C" d& L0 ^) B+ @7 V4 L* i
plot count turtles with [color = green]
+ G; v1 w B7 T3 Vend/ W) A! B, f3 L
to update-lorenz-and-gini-plots: Y1 O. L& m6 p/ Q3 U! z
set-current-plot "Lorenz Curve"
g3 b5 c0 M5 i! L/ W ~0 S" \/ Q/ \ clear-plot! T, y/ Z j- Q8 z
6 V0 j7 L1 N4 p0 u0 e: l
set-current-plot-pen "equal"
5 x$ Y% m% w, O( |; u plot 0
3 c7 g6 U9 g7 |6 Z( s plot 100; F3 M* j6 m. }! z3 C8 x1 o9 K
6 t( y) m% ^7 @" V# H" V" d set-current-plot-pen "lorenz"
! [1 S2 ], ` l# c1 g set-plot-pen-interval 100 / num-people
% n4 r1 ` H) t+ ~3 N3 j3 G* X9 C plot 0
" k+ ?5 {% E9 w: x% ?5 n, Z8 ~/ Q3 j7 y7 M
let sorted-wealths sort [wealth] of turtles
% V/ z& R. h* I9 b: X, B9 P. T! P let total-wealth sum sorted-wealths
5 l7 l% H0 T9 ^0 P% x+ Y let wealth-sum-so-far 0
; I; X7 P/ j( B, t% n# W1 v6 T: C let index 0
! ^0 U/ ~9 x8 j, `2 R: R. u: W* o) _ let gini-index-reserve 0% S9 c5 @8 H% c; C# V6 `
( b; W/ ?$ i9 _ r7 f5 z repeat num-people [
3 a3 @" l' k3 G% f set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ b: f% E7 J2 H* i% K
plot (wealth-sum-so-far / total-wealth) * 100
3 M3 _1 o5 X7 k) l8 Z% q4 a set index (index + 1)
' I2 R' v6 j' Y8 q4 Y: Y7 _! P: z set gini-index-reserve
% G) e7 A0 D" z* R% {5 g gini-index-reserve +; y9 z5 v& j* n
(index / num-people) -
6 `& W& j: J$ P7 K2 k (wealth-sum-so-far / total-wealth)
# b* o8 T8 Y1 C- V% u( G ]
5 V2 b/ e }$ \5 c5 @
* Q% A9 S' c7 W set-current-plot "Gini-Index v. Time"/ W* ^, A9 I* j% ]- |# k
plot (gini-index-reserve / num-people) / area-of-equality-triangle3 c8 f: H5 s9 s. V
end' w; n7 h" N: [
to-report area-of-equality-triangle# J( e; X0 _; @; M
report (num-people * (num-people - 1) / 2) / (num-people ^ 2), M6 W! _/ K B+ m6 G" M4 E
end |