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
; Z5 b0 w7 A+ D: N1 tglobals
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max-grain
) x( o/ r9 @5 w9 ^4 p
6 P, p. E3 ]% [' \% F]% @9 G* M/ I% K
: Z0 C3 S8 ^" q9 c0 b: ^patches-own& h+ e! g! n2 N8 Z9 V
[: V. K" s1 ?( X
grain-here ' A* \: g5 F& S9 S' q$ [8 `/ I3 f
max-grain-here
$ x0 [8 @+ @9 F% L* n$ d9 v7 P4 f]$ u0 f+ v& \: O" d: ?$ m o
0 h$ e1 n! P7 ]% \1 {; L% g; ]turtles-own# r7 D3 M3 Y/ j- z
[
$ L* } T% B% v8 F age
5 n `. X$ ]0 k, Q a) w wealth / q' q. [; b7 G6 I F
life-expectancy
. I1 Z& v9 C3 q$ B$ m metabolism 5 l, Q' h; j4 b, [) x
vision
5 D$ H _; T9 c. N1 P! ^ inherited 1 i1 R2 L5 B4 j8 b- R. V) i
]9 u- Y( @1 X- `7 m! Y0 T
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% D) {! H5 U3 h/ ~ f# W2 Q9 F! `8 ?to setup
7 o* B4 R. L! s ca
2 {3 v1 l4 M6 I set max-grain 50
4 Y3 {: F( w, @9 f6 I6 C2 Q( l setup-patches
8 e7 Q# c( R. [, W. s setup-turtles0 z& }5 z% q( f; c1 L9 t$ o
setup-plots
0 k8 f4 {- n, v. G+ | update-plots O$ z. V$ n# F7 ]9 {: X" }5 g
end
' B% c1 P" K' dto setup-patches r, Z* x2 i5 O
ask patches$ n% i- T! g/ a* o7 c, i' h: }% l
[ set max-grain-here 0& q+ u5 k D! s
if (random-float 100.0) <= percent-best-land& ]1 c: k r& K) |+ }7 s3 d) G
[ set max-grain-here max-grain
/ y0 u8 Y' M7 R1 M$ Q( B A set grain-here max-grain-here ] ]
) x/ Z6 r# U: |5 i& `7 e repeat 5& z4 x0 Q" h% E$ ?1 C
[ ask patches with [max-grain-here != 0]5 p* n( E1 F: H1 {3 o8 ~1 s/ }
[ set grain-here max-grain-here ]
. U7 m& ?+ k4 }! p diffuse grain-here 0.5 ]: o' T' i7 Y! l4 p4 V9 S V* y
repeat 10" h- w2 v$ k, _
[ diffuse grain-here 0.5] 0 b" {( J" n6 t5 f) a4 L
ask patches
7 E1 V2 F" b8 K% I' u4 X6 J4 P [ set grain-here floor grain-here 6 ?) }. S, A$ w) |' f4 i1 ]1 _" W
set max-grain-here grain-here
* w( R" d; F& `5 R& |2 T recolor-patch ]
9 C" K' W& S1 \) j4 \" n6 O- Z1 Nend! }( d) z. y! P) E& u6 ^
to recolor-patch
* I2 F& F- R; p2 u2 F8 ` set pcolor scale-color sky grain-here 0 max-grain
! }9 }. l) ?/ k" Q: H" nend
7 _/ w' U% u9 bto setup-turtles
2 B3 S0 O: O0 q9 c set-default-shape turtles "person". y i1 ?8 X" ^! E7 r
crt num-people+ a1 @! D. ?& l4 U9 A W3 j
[ move-to one-of patches 8 t# f% N( o# K4 s4 Q
set size 1.5
' b+ C+ X# f$ i t set-initial-turtle-vars-age
3 x5 L3 v" G; O* d8 ]9 V set-initial-turtle-vars-wealth# Y" Y# ?* i( A
set age random life-expectancy ]* Y. X2 [4 \$ ~$ V3 E
recolor-turtles1 p, n. g/ [' J/ `. f
end
% P$ c! g) k; m, }, u4 G3 a% _0 q6 x6 {4 B
to set-initial-turtle-vars-age
6 L d& a1 W$ R; @/ T/ D0 u2 |- E let max-wealth max [wealth] of turtles) s% v f2 ^, J$ W, S& q
+ e) \! D- B+ [
ifelse (wealth <= max-wealth / 3)
5 @& ?5 y4 u! H0 J N& o! @ [ set color red
: T! Z+ L# B7 M! @ D( k set age 0
. O6 J1 A5 I3 p |8 J face one-of neighbors4
9 R( {5 K3 a2 l. u" `6 K( [# C5 W" } set life-expectancy life-expectancy-min +# q$ L* h6 h" \* }8 J! _/ q) i
random life-expectancy-max
# S8 Z1 ]7 |" d: ^& F( v3 { set metabolism random 1 + metabolism-low/ A/ {1 c8 u" E# k/ s% D c
set wealth metabolism + random 30
% f H Y' |/ R% j. }# D set vision 1 + random max-vision
0 T( u, p5 g% S- Z6 `. c# g7 T set wealth wealth + Wealth-inherited-low ]
6 Q" R& V w3 v1 ^! u [ ifelse (wealth <= (max-wealth * 2 / 3))
7 Q; Z- H' B& t2 q; v% V [ set color yellow
# S& e; g. u0 @+ V2 [* { set age 05 o5 p6 g; v- i" I" C: B8 ?
face one-of neighbors4
) b6 F& i+ X4 x7 F set life-expectancy life-expectancy-min +
" X9 @6 O3 F& u$ p; B: z8 n random life-expectancy-max + 1+ x6 u! I1 A* r6 E& P
set metabolism 1 + random metabolism-mid
0 F2 ]+ H# y% A7 M W0 O set wealth metabolism + random 30% t0 H, C: o" j- p; t4 F
set vision 3 + random max-vision
( b7 `5 N4 `( J& l% A" X! E set wealth wealth + Wealth-inherited-mid]2 d _3 A3 u+ H; f4 t
[ set color green ' y" }, C; }( p' I
set age 0( q* @( E6 x7 T+ Q, F8 U
face one-of neighbors4
+ Q s) {/ R: G, X set life-expectancy life-expectancy-min +
' Y3 U4 R# J1 R5 Q, K8 J8 B random life-expectancy-max + 2
2 n7 j5 g( X4 Q( A& T0 [* a set metabolism 2 + random metabolism-up" T/ g) {9 }% _- K: `
set wealth metabolism + random 308 B9 C" ^2 B. L) o" W
set vision 3 + random max-vision" p& _& Y* b1 a$ Z/ c; v/ Y1 W
set wealth wealth + Wealth-inherited-up ] ]
# f+ z' K: _& d
6 ^5 Y6 x& v) T5 h9 s; kend& R1 I9 p7 K- H3 h' P: h
to set-initial-turtle-vars-wealth H( z6 {2 Z8 m! D( X9 }
let max-wealth max [wealth] of turtles5 Y1 f# k' ^; X& M( M- P
set age 0
' g* p& v; P3 \; _ face one-of neighbors4
$ T2 H5 J: }2 l$ t* t1 F$ x$ B set life-expectancy life-expectancy-min +' w5 @8 u8 m& W9 b9 N: U/ S8 W0 Z
random life-expectancy-max + M T" [0 Q0 I% M0 Y
set metabolism 1 + random metabolism-up
8 l) \8 s( Y9 k- e6 i# r h set wealth metabolism + random 300 @- |, x6 Y. Z
set vision 1 + random max-vision
" q( [8 T0 ^0 u. a/ U5 c" |end
3 j. e1 \! Q+ Vto redistribution) P5 L% @& W0 _+ @2 R
let max-wealth max [wealth] of turtles6 R" r( w* G- Y/ X4 {) [7 `
let min-wealth min [wealth] of turtles( \& Q4 [0 v0 X: K# j `; G
if (wealth <= max-wealth / 3)
# u4 {1 s' B, h- ] E [set wealth wealth + Low-income-protection ]! f ]5 ?' c3 v9 k
end( ]7 W' o6 O3 j
( k( u# c% z C4 h$ @* bto recolor-turtles2 i5 P2 r3 y! h% ?% z! s8 g
let max-wealth max [wealth] of turtles H5 u6 B7 H# j* W- ?
ask turtles
9 Q4 @% t2 |) @5 p5 J [ ifelse (wealth <= max-wealth / 3)1 ~$ d* l9 w0 K! R% L
[ set color red ]$ b9 P# j2 w3 B' ~
[ ifelse (wealth <= (max-wealth * 2 / 3))
9 O" d: E6 ]+ z" z [ set color yellow ]
" y5 W" ]5 L5 D- b" t- f5 x" k [ set color green ] ] ]
" {6 e. t9 G6 M# g ask turtles [ifelse show-wealth?
- Z2 F( D; s9 p" c/ T$ ^ [ set label wealth ]
1 L8 {( {& R; ^ [ set label "" ]]
0 L5 N! E4 R( {" C# send! y( _! h$ C3 T' Q( a7 |
, {3 ?7 `' V1 P# ]
to go
3 }0 b0 u6 E( Y ask turtles
0 e' H3 J6 s4 p Y [ turn-towards-grain ]
) K8 [- J; X5 s8 ^1 z9 j+ j; y+ Z harvest
: w8 K( Y. c) S( j ask turtles
8 y6 H7 P8 F) G+ G [ move-eat-age-die ]
- j% F! A+ l) P' V# Q& b" t1 ^ recolor-turtles
: p, _3 l9 d+ i& P' }# E" N if ticks mod grain-growth-interval = 0
5 q: b/ Z* f- W# i q$ _ [ ask patches [ grow-grain ] ]& d% ?8 y3 L+ P. n4 A& p1 r
y+ d& Q) _/ _: ~! ^
if ticks mod 11 = 0, P3 E& K; ~- ] _
[ask turtles: F& F" z' ?! K- n" K
[ redistribution ]]/ _5 `& t+ n2 Q+ L
if ticks mod 5 = 02 T0 R! K3 d0 X
[ask turtles
/ b* b: j* J; ~ [ visions ]]
( p) w0 T& ]9 v5 Q tick4 g# u( E' O6 D. t
update-plots$ ?) p# Q+ a' k2 ~
end7 v" S9 k* }9 h) p
to visions
& n, n5 [" k$ _6 n set vision vision + 1
7 I7 {$ h" U7 fend
8 g* G9 b d1 y0 a' h
4 [2 O W6 [& `, I% y: x6 ~0 _5 z* h8 d4 y
9 Y& R2 u7 t) S; y- J8 yto turn-towards-grain
3 c9 T( I9 b# a6 I6 X set heading 00 X- i% e& t( P8 m) ]0 W O
let best-direction 0
t+ |# B1 _" K* w" j2 o1 P. {# a+ Y! b let best-amount grain-ahead# ^' f R! U2 M; Z% }. a' V, z1 T
set heading 90+ j) Q8 a7 S j+ H6 H
if (grain-ahead > best-amount)
& ]6 D+ D: d2 O8 [ [ set best-direction 900 b0 o: J& V7 x$ Z
set best-amount grain-ahead ]7 [( }4 s U9 B: g# R8 Q% l; J% q
set heading 180
- H" @' `3 p- n- u' |$ Q# T$ u- _ if (grain-ahead > best-amount)8 [& C: \* Q/ _, e
[ set best-direction 1803 v$ d, f& w. y9 ^, O0 n
set best-amount grain-ahead ]
: \* g" W) M' y2 }' x! P! Q set heading 270
# v6 J4 A2 L2 p7 J) J3 z if (grain-ahead > best-amount)! f9 j4 }& l" D ?- r) H' y
[ set best-direction 270/ N, S% P) P W, l. l
set best-amount grain-ahead ]
' o ], T( O5 n+ m, L8 w set heading best-direction
# h \8 p1 K+ v* E1 wend
0 d% t [5 U. U3 I) ^+ F/ K4 V" L: Z
1 H2 K% {0 c' m9 e) Q M- sto-report grain-ahead
! o! |9 Q7 t/ L" z; U3 A4 N& ~ let total 0
~+ U" L! s7 |& G6 ~. D2 T let how-far 1$ G4 q3 l ?) p. A8 s& p. f& k9 a
repeat vision5 B! @; p/ U1 a+ }( V. O
[ set total total + [grain-here] of patch-ahead how-far' \! P6 x/ ]' {4 L' u* s* s \
set how-far how-far + 1 ]; o: ~/ D; x1 [1 j4 F9 I$ s
report total/ _" f" E4 T; |( G3 [1 C) H
end( l+ a# ]( M; d- E
1 c' e* F% ^) w/ G, | Z9 m
to grow-grain $ M% U, p+ o& } s0 `% K
if (grain-here < max-grain-here)
8 [+ d! ^. f: d- r: A( H' A [ set grain-here grain-here + num-grain-grown
$ [2 W' S7 f: q# I( m4 z if (grain-here > max-grain-here) ( i3 [4 f. [9 g) ^
[ set grain-here max-grain-here ]; ~7 Y$ ~/ z! c- y! [
recolor-patch ]9 R1 V% j; b6 R- N5 j) a
end
& ]% L/ ?" W7 J8 A* H* l! Mto harvest* q5 E" R5 G9 b/ z) [
ask turtles
1 p; B5 F: O6 w2 e% Q3 x [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 I% F# j6 x% c3 i' U2 o ask turtles
# A9 j9 c& ~ w0 I+ K w% Z/ F [ set grain-here 0! k2 Q2 c3 e b0 E, l7 j
recolor-patch ]# H) o/ T# D6 h
8 g9 B) C3 w9 |' p! @1 g! Nend
- l* ?2 w) r4 `) ^) d; d y! K) T1 H4 R) d
to move-eat-age-die
# W3 v( Y( T& q# M. ~7 S fd 1
/ V5 o& A, h* U/ ~0 N' c set wealth (wealth - metabolism); S5 e4 l3 `, b5 x
set age (age + 1)
n! X- M2 ^3 S. N/ ~ if (age >= life-expectancy)
' O: @- E, ^1 s6 j6 J& c3 t: J [ set-initial-turtle-vars-age ]
8 T7 b% O/ I$ Z# @% D1 u if (wealth < 0)
4 w2 j+ ^; Q' C5 u- Z; H [ set-initial-turtle-vars-wealth ]
$ C( |8 j4 l& M) ?5 ] ) o4 q0 l5 L0 Y5 {2 @ Z$ ~7 l9 t
end3 E% f' m1 W3 b. m4 G& u" G) Y( @; \' v
2 o( d6 G5 e2 t3 N3 `. R6 X1 J3 Q, J( ~7 F$ f, k/ t
to setup-plots
, s( U0 z! H8 c; }5 n set-current-plot "Class Plot"
- A" n t: }5 R( C- d set-plot-y-range 0 num-people6 t! n( n/ P/ i- J
set-current-plot "Class Histogram"
M2 C f0 ~( ?! I8 N5 Q. ^( z set-plot-y-range 0 num-people4 j: Y( O* r+ B- S3 q* F
end" ?6 {8 W+ d' I
. w9 G& M6 a& V) j2 s5 \
to update-plots& M8 F V$ @. S2 c1 ^
update-class-plot' C5 E+ i) K% {6 F& Y8 E
update-class-histogram1 N. b8 w8 C8 b% \- s4 p
update-lorenz-and-gini-plots( d+ n7 b% x6 ^* B
end8 X$ e4 y$ ~- W u- b0 }
! c) n1 F4 d- I# H5 ?2 Y; S. D/ F9 lto update-class-plot& [$ m5 Z" U4 g, v' n' `
set-current-plot "Class Plot"5 t+ ]6 y0 k8 G# [1 i
set-current-plot-pen "low"
3 X R( V- @# L) n5 C plot count turtles with [color = red]
4 b0 R/ u% {( {# D a set-current-plot-pen "mid"
3 X' H: O' F6 Q( \5 t- C/ I# Y plot count turtles with [color = yellow], K# v. ~4 O0 g2 `, |
set-current-plot-pen "up"( S( |7 b1 T! K$ j. H
plot count turtles with [color = green]6 T1 k, `3 r- h0 Z0 ~
end
" N& L# i. ?$ H; x. v: }
9 S) ` q6 i7 g: Ito update-class-histogram
% K7 s) Y/ _3 M$ N set-current-plot "Class Histogram"
( a2 W& Z$ Y" F. A* } plot-pen-reset
$ _# N8 E7 E6 p0 E ]4 J set-plot-pen-color red
$ E7 @9 K) }: z( x* I plot count turtles with [color = red]
' n6 n v$ A( `9 ^ D6 T2 ` set-plot-pen-color yellow
$ X( }6 T1 f/ n$ h/ H& y2 D" ~ plot count turtles with [color = yellow]
% C. I8 b: n% A3 y& | set-plot-pen-color green
}+ ?% j( y3 y* T$ k' P- J: X5 R plot count turtles with [color = green]
4 D( u8 ~: }$ s. I. {end2 b& `4 m0 }; s' g$ n) J; ?1 s
to update-lorenz-and-gini-plots' ]8 B: ]) f2 p; j4 ~2 R6 `* A
set-current-plot "Lorenz Curve"
B0 q4 ~0 t" m& m: u+ e7 B clear-plot
7 q- F7 W. L, e1 U
O5 l0 G; B5 K$ Q1 I9 u: u5 P set-current-plot-pen "equal"
. v7 f2 }* @1 s$ _+ j b plot 0! a5 u3 t- O1 b0 ~! }2 Y% W
plot 1004 P/ z) b4 z% ~
* s/ {! V* ] l1 z
set-current-plot-pen "lorenz"% A% v H. t6 O2 M7 ?
set-plot-pen-interval 100 / num-people" e8 o, I* b( S2 [. C1 ?. a: `
plot 0
+ c+ J5 s! V0 \1 R9 E1 g0 D6 k2 i4 a# V$ d) }8 z4 t2 ~* ^
let sorted-wealths sort [wealth] of turtles
7 p4 R# x1 r$ J let total-wealth sum sorted-wealths Q/ @) }! z, o$ @$ |; |& R
let wealth-sum-so-far 0
3 S( m) I1 I6 d let index 0% Z7 W5 A* t' h; L
let gini-index-reserve 03 o& c) R$ X! U; ^
% _2 A8 f) F9 ?7 i1 ?: S1 k4 i
repeat num-people [5 V0 \4 H1 n* K) G
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: Q" U5 _9 v* O: P% v plot (wealth-sum-so-far / total-wealth) * 1000 j1 W9 ?- {4 d) J
set index (index + 1)
% I7 \. a: s- ^( _ set gini-index-reserve& ~: A2 u. _; W" j
gini-index-reserve +" j6 H, r- @8 G1 L: @' ^9 B
(index / num-people) -
$ t: r' M& O- t3 p' X0 L3 b (wealth-sum-so-far / total-wealth)
0 c1 ^/ `# m" c8 A ]) r( T3 q, ^% x1 d# F& R
8 ^6 g9 K5 @2 A
set-current-plot "Gini-Index v. Time"
* o: E1 ?7 z8 n7 r plot (gini-index-reserve / num-people) / area-of-equality-triangle! q0 W# g! y5 q7 N) j( C V
end
% `9 K) N, |* {4 b |1 qto-report area-of-equality-triangle
4 C# V, `6 A5 Q. Y! v report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
- b+ q5 J7 X" V2 s6 Qend |