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$ [6 N7 v+ M( l0 C# u6 g- @. ]8 [
globals+ i$ Q. p% B6 U6 E2 N: m
[; i4 d: d% N, `) U* O
max-grain
4 B) o5 f3 t( T/ H* d* e+ j3 k" ? S v* j
]
) E8 g& a9 W$ N: G+ n& u. X- {0 H5 B. E' C+ Q' l) W; { U$ k
patches-own
2 n" Y) h/ Z6 m' W[9 S2 N0 B3 O& ^) ?, ^% ?( `
grain-here
2 M1 l' N* W$ l" w( D$ D; B max-grain-here / y" e7 E; Y- I+ r/ Z9 V* Z$ _
]
0 F" t0 o+ q* c# U
7 @' G6 c1 z0 X6 O7 Uturtles-own8 g# X2 E* r$ q- L# v1 e
[" j! f' @: T2 @
age
/ Z$ k- r6 [, C4 k+ L wealth ! C5 _) e5 U: X
life-expectancy
6 P0 Q; F- ~( X, } metabolism 9 H: w: N; `+ w4 L6 G
vision
1 ~3 F1 o7 x& \/ W4 o0 Z: R inherited
1 O9 Q" M' F6 E; @- O F2 T]
+ O+ r7 e+ L1 A5 K( L
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, S3 y7 g# |$ i7 pto setup
F( a, N6 v4 o" `3 H3 v4 t) w ca1 ^# t, X; h3 b
set max-grain 50
( ^7 i" I4 K3 W setup-patches) J9 e) |# }2 O" L+ H% f
setup-turtles
/ D' K: x% O7 i setup-plots
% [8 `9 W- r7 ]7 K8 t2 ? update-plots
- g- a7 u9 ~# S2 h' L: D6 S' u* hend
! a) ]) s7 W' _* z4 k! A' mto setup-patches/ U% w- P4 \1 } P3 ?- t1 X7 \7 A
ask patches
# A% d8 E* g; |, H) b& {$ t3 T" P( P [ set max-grain-here 0
) d2 x/ g7 r/ i+ o6 T if (random-float 100.0) <= percent-best-land
( A9 }& {" S! R8 ] [ set max-grain-here max-grain
4 Y0 O, ?, h6 ~3 ^* O set grain-here max-grain-here ] ]
2 X/ {+ y6 Y; F0 y" g2 f: [$ T1 C repeat 5
+ q5 ^0 F; s. h [ ask patches with [max-grain-here != 0]+ j' h) j: f" L8 U0 N
[ set grain-here max-grain-here ]% E! R. f* ]* D/ i c9 G' Y2 ~% `: U
diffuse grain-here 0.5 ]
* M, o" \4 V! X+ ~ repeat 10( S3 W" Y |* m' y( W; _
[ diffuse grain-here 0.5] 7 ~' _9 m: P* ~
ask patches0 B2 E% `! f8 N8 P/ I' x/ y
[ set grain-here floor grain-here ; }0 `2 x9 e6 @. t1 o% }, H
set max-grain-here grain-here
- B I5 T# Z8 [9 P. @. L recolor-patch ]
; j# P. c1 B e! j7 V. {6 dend1 D5 v" c% `2 A8 x n7 h1 W
to recolor-patch
9 s' F- z& r: K o9 F0 N! j set pcolor scale-color sky grain-here 0 max-grain* Y( n) j) _2 N/ v
end. l, r& C, f, Y# J! b+ U+ D
to setup-turtles
7 c1 _& N4 `$ U2 W& [ set-default-shape turtles "person"5 `$ S9 {- s3 w: _1 [6 R
crt num-people2 g1 N! C3 s7 W0 Z* k& \" \
[ move-to one-of patches
3 ^2 }. i. }+ b+ ` set size 1.5
% g4 ]4 z1 K& `% q& o0 z9 y* ~$ |& t& o set-initial-turtle-vars-age& w* Z3 F; A! e- ]- ~9 U: x' p
set-initial-turtle-vars-wealth% K4 C; Q8 C9 @1 b
set age random life-expectancy ]
+ P1 h! K a: C recolor-turtles) g1 o9 B2 e Z' I. f; U- K, H
end- U# u. O: z& \
6 A2 H( I, p A" F; f9 g2 }
to set-initial-turtle-vars-age
5 u( F/ y3 |2 j. C/ Z6 V& w let max-wealth max [wealth] of turtles* D/ G% X. E1 {- C
9 j! P8 R( R0 L6 _/ n1 p+ e ifelse (wealth <= max-wealth / 3)
F6 |( S3 \5 j3 f! s/ D [ set color red
/ B) g8 Y# q$ w) X" }- n set age 0
3 L; R! a% o$ x+ n face one-of neighbors4
2 ]3 y" `2 X, F0 D9 N) p set life-expectancy life-expectancy-min +6 W1 Q/ D$ ^3 `7 i* y" E
random life-expectancy-max 0 W8 }8 y2 Y; Q: X. u2 Q+ o
set metabolism random 1 + metabolism-low9 W' r( `/ ~/ k* A' z
set wealth metabolism + random 30
1 ]0 z! \2 ^( |( }: L p" T set vision 1 + random max-vision
! G/ J$ I2 [. X2 b) s. N! t8 S set wealth wealth + Wealth-inherited-low ]( P; F5 u" `) }& O
[ ifelse (wealth <= (max-wealth * 2 / 3))
2 R; U1 L5 l0 l { [ set color yellow
0 e0 b& n ^) b2 h( Q& j set age 0, [, D3 o" r+ W% B
face one-of neighbors4 # ]2 w. R6 z* H
set life-expectancy life-expectancy-min +
, d/ d( x8 c5 w; T: j random life-expectancy-max + 1* V8 l! ]" f8 D) |
set metabolism 1 + random metabolism-mid1 P! n. k: [2 G; Z, t+ P
set wealth metabolism + random 30
# K' T8 v) x, F( @# i: @0 e) T# f8 @ set vision 3 + random max-vision
# j$ W# w `( R9 q# Y; n$ H set wealth wealth + Wealth-inherited-mid]3 j" X! y. k6 c. a; g& O/ b9 \- l
[ set color green
) ^7 j& q8 `0 j x' Y- d3 a. O set age 0; [6 s% B/ L. \2 `) x2 e6 v+ L/ `: U
face one-of neighbors4 6 }5 x9 W2 h2 B4 P! v# y3 S! M
set life-expectancy life-expectancy-min +
/ ` N8 |4 R& \8 o0 u& N7 U random life-expectancy-max + 2& K4 B [( _: X9 a Q! p
set metabolism 2 + random metabolism-up
( j; @+ X- T) C$ h0 a8 x) |3 C set wealth metabolism + random 30
! V2 U! U: K: ]5 |! E F: W set vision 3 + random max-vision
) L& `) k$ w" f* I0 s& E$ X set wealth wealth + Wealth-inherited-up ] ] 5 [9 d* w; g0 \8 ~* p4 [( W% F
) U$ }5 o! X( x' @6 Pend
* Q: y; g' \& Ato set-initial-turtle-vars-wealth
# i$ g8 A+ k0 s! e7 u! O let max-wealth max [wealth] of turtles2 H3 k. p7 s' m! s( B% g! S% O8 M
set age 0
6 x+ L/ @0 Y h$ T4 m, z) n. }/ N face one-of neighbors4 - ~5 C4 S+ y* `
set life-expectancy life-expectancy-min +
+ t2 g, S+ b' H; f/ k! R random life-expectancy-max
( J% ^2 H2 K U set metabolism 1 + random metabolism-up
9 y/ p+ u; ~' v% f set wealth metabolism + random 30
) H6 B. C0 _6 Y0 P7 s set vision 1 + random max-vision
) x' j/ n" q. Gend
0 u& d" E- x5 L+ w, Gto redistribution1 c4 O0 ^2 a7 L/ a9 f
let max-wealth max [wealth] of turtles
; K6 h5 Y+ E# ^% ?3 C ?let min-wealth min [wealth] of turtles
3 M- s k6 S4 {6 N m+ A/ Yif (wealth <= max-wealth / 3)
% h1 I2 \% E, O2 O- r/ @5 k [set wealth wealth + Low-income-protection ]( ^; k, s% U( b+ O
end4 U2 \4 a" X: P1 }" s
# d$ w! c% b! d2 @7 s6 dto recolor-turtles
4 Y4 J' w; V4 V* f' e- h# O let max-wealth max [wealth] of turtles# Z& Q3 Q; B" ?4 v, e* }) m
ask turtles
7 {% @/ ~, h+ V. q [ ifelse (wealth <= max-wealth / 3)
$ q- J: Z' O6 e3 e8 P) f- M# z- N [ set color red ]* D7 D% X9 v% G, j) N4 U
[ ifelse (wealth <= (max-wealth * 2 / 3))
5 H2 J* F0 ]$ ?; s i5 T1 N% ? [ set color yellow ]
) ^; n* h. T$ S$ p8 [ [ set color green ] ] ]
9 z7 r- j2 n: [3 u2 t ask turtles [ifelse show-wealth?% Z/ m- E3 ]5 L! ^
[ set label wealth ]' f* F3 i' v- e3 _. p, X% n, ~
[ set label "" ]]: I$ C4 D3 c5 C
end" \9 j& F. R. F
$ b( k6 }$ ~; j1 Z/ D" P J) Z0 A5 ]
to go' ?( x9 J: G1 ^$ ~) b
ask turtles
/ x/ |' M0 }/ r* o# L" W* | [ turn-towards-grain ]
5 e0 ^% @9 b# l, a5 r% u; Y; B/ L+ L harvest/ L$ ^& K& Z! f+ [
ask turtles
@1 f* n0 E4 c' r [ move-eat-age-die ]& w; I. G+ D4 S/ F
recolor-turtles
( X8 \8 ~& @/ C if ticks mod grain-growth-interval = 02 } k9 ~: a6 u' V2 P) c
[ ask patches [ grow-grain ] ]' Q. L7 F9 H1 |* g4 L& i; Q
7 B) C! w3 J3 i1 u/ k7 w& n. G if ticks mod 11 = 0+ G/ J/ G$ @7 n3 F& c
[ask turtles
7 m6 d- ]& m) w6 X1 k& V$ u3 A3 ] [ redistribution ]]
, y8 m% k) x4 J/ H3 _ if ticks mod 5 = 0
8 R+ m0 j& Q/ U3 ?5 O7 M! ?7 Z& R [ask turtles0 n# j$ }8 m" U: k& G
[ visions ]]0 F1 B5 w' o- j X' U$ N
tick6 I" u, i; r3 r+ m# F6 R ?6 Q$ T. e
update-plots
1 }- {1 V; s1 B F$ @end$ N+ F0 _; }# h! ^
to visions
* _) G& i5 f# h2 A6 x set vision vision + 1
# {8 |% b0 D- qend. l3 t: i) s4 J% ~2 @* X" B
% G( U" t! r8 H6 b
: |3 @( c r- R: h: b3 a, F& a7 s) c: `# D# a
to turn-towards-grain
9 V7 \! x4 q4 p& m$ v6 x* i( W& Z* n set heading 0
/ A* @& \. `: W0 q( {/ o$ J3 ? let best-direction 0
% a( D0 p/ ] R: H let best-amount grain-ahead
3 ?' g; U- \4 p6 k! q3 k! B, J set heading 902 N% Q5 W8 g) @( t# m
if (grain-ahead > best-amount)' ?8 \ g& B* O, D
[ set best-direction 90
& G$ J3 B6 C" z& P4 z: [1 w9 D set best-amount grain-ahead ]
- v+ Q5 @$ f K7 } set heading 180
1 _6 [" l6 w# Y4 v1 A c if (grain-ahead > best-amount)
4 V. I( C S5 D I; p8 V/ Q6 @3 G [ set best-direction 180
. p7 D" B8 I+ x& k" J" ] set best-amount grain-ahead ]
& i! w' C# } X3 D$ I# `% V set heading 2704 _4 l: F; u0 C
if (grain-ahead > best-amount)
) [! I. _) s8 {5 k [ set best-direction 2709 x3 O+ U1 n& O1 O7 L
set best-amount grain-ahead ]
7 B3 R1 s) m) m: G9 u; c. J set heading best-direction
% b! d. w5 P: p5 A/ n& i- Gend. L# i( Q2 p9 [( ?0 i9 M
, G) F/ o: N$ x7 N
& @- S+ S/ D( Q7 |2 k( {. s8 }
to-report grain-ahead
1 B' [) X7 S. k& _ let total 0
/ M3 \- X9 {$ Z' H let how-far 1: s& O0 P3 R6 E& X& b9 |! J
repeat vision
# i6 ~& J6 q! I [ set total total + [grain-here] of patch-ahead how-far
$ m& w1 [) M. }$ |% L set how-far how-far + 1 ]: I( N/ U) g$ P5 I
report total
* t( g, S+ u# a/ t$ k7 b" l$ m, vend) V& n/ i9 j# G: E9 `; j" q! Z5 D1 q
+ Z$ o+ e, T" ]( {& l, n* y! f* y
to grow-grain 1 `7 L- |1 L# X% p
if (grain-here < max-grain-here)
0 _+ k& [ [' L4 t; J' x7 ^ [ set grain-here grain-here + num-grain-grown7 L5 M0 A8 n( F, _
if (grain-here > max-grain-here) + c8 S' \5 v- u1 W# K
[ set grain-here max-grain-here ]- {" d1 M! t6 a* e1 x6 n) D2 [0 c
recolor-patch ]
]6 S# R9 W) e- Lend# h, @! z& G& x4 j, A
to harvest$ q. M* r6 b0 B2 l4 B
ask turtles
, Z; z9 B0 p8 f. |. o [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
1 W! _7 \" A, |* T+ K% i ask turtles; l) r- \, s/ G7 t/ x0 h5 I7 P: g
[ set grain-here 0' A5 g% G3 c) \
recolor-patch ]
: H' E9 i. b2 e$ h : j$ Q0 I/ y) k4 K
end
" l8 r/ k* O. z0 n6 |5 r+ f6 C" w w% _
to move-eat-age-die
2 |, }. D# X' P' I/ s) T( d fd 1* v. n! P' R& g1 |
set wealth (wealth - metabolism)
: {8 `4 K: X! |( R+ `9 B set age (age + 1)
' S1 o# S7 f& M- s% B1 [ if (age >= life-expectancy)1 J. q! L G7 ^' A4 p7 V' R
[ set-initial-turtle-vars-age ]% `3 p$ Z/ H, M& T7 ` D( h
if (wealth < 0)7 V9 ~2 a( B) E1 a1 k
[ set-initial-turtle-vars-wealth ]) _7 Y2 `- s! G
: c6 F& ]3 v# A' S; Aend8 d! [- c9 u) n: N) d- M5 [1 c6 a
$ g8 V$ L# R( Y6 ?4 S( w4 j& f7 T
* b) L& t% H, W. K0 [to setup-plots
6 w1 V$ R7 d1 y# A) F* H1 Y' k set-current-plot "Class Plot"- t- u$ w+ \& v( @/ y2 `' O& A) c+ d
set-plot-y-range 0 num-people
. }' V. V( W6 C set-current-plot "Class Histogram", y I- x& C+ ~+ {( q* h. [
set-plot-y-range 0 num-people4 F: m/ e0 z! Z0 w$ Z$ n0 m# s9 o
end( c/ f: @9 F" k, |* ]
8 ~& }3 n% d: ?0 ? Lto update-plots
& {% h0 X5 ]# T0 z* w3 H8 D update-class-plot
/ N9 \ J( l/ o7 X update-class-histogram
% C0 y9 A! n/ e update-lorenz-and-gini-plots) ~4 w& k% E G- n
end
- i& s1 j. c" n8 }2 [, y( U9 J1 ^
- l3 r& J2 s$ Ato update-class-plot. |* f% k5 Z3 p9 W; r
set-current-plot "Class Plot"" V+ m6 v' G( i D5 S6 l
set-current-plot-pen "low"
. v. j. L/ i1 A H7 t% Q9 N! ^ plot count turtles with [color = red]
: o- ]+ j% z4 ^5 [# T! K set-current-plot-pen "mid"5 m2 v U. u* \. X. g
plot count turtles with [color = yellow]
/ ^7 F. U5 p5 o! L, W set-current-plot-pen "up"
! P; D: [ g( N& M5 b plot count turtles with [color = green]0 r; k5 @5 K. r- O- M6 |9 Q/ S
end
1 z( Q1 n$ T; n% w E
+ f8 h% k2 L6 ?to update-class-histogram3 w- Y( M6 l" K; a
set-current-plot "Class Histogram"
8 C2 x0 Y0 s3 k* w+ p plot-pen-reset& m) G% }! f2 E L- }
set-plot-pen-color red
7 ]1 z2 n5 G; U* Y2 x& K) _4 G plot count turtles with [color = red]
: @* N1 B. @/ @8 o% D" c set-plot-pen-color yellow
/ l+ S" X! d' |' L9 l plot count turtles with [color = yellow]
' P# r7 h6 D4 F1 K! d8 K set-plot-pen-color green
( [8 A& d4 \. Z3 [' I9 g& v plot count turtles with [color = green]1 T* j7 }& D5 V1 ~
end$ Q8 a, ~: d+ _
to update-lorenz-and-gini-plots
/ i0 [7 e9 D5 @ set-current-plot "Lorenz Curve"* J3 {2 |* C5 d: e; B' W5 g
clear-plot
+ ]! i7 o; \0 s x$ w+ r5 H' }- X" [8 |9 l5 N. _9 B' {+ z" f7 F
set-current-plot-pen "equal"; T5 e1 r1 g0 o# }! v5 F
plot 0
9 D1 ~" J2 V9 B: a' E& M: c' p5 N7 [0 o- \ plot 100$ u4 f. w6 L4 v5 `0 ~# `& T
0 J* w; \+ ^/ n' p8 g6 U, k set-current-plot-pen "lorenz", n: M8 }* |! ?9 p$ Y
set-plot-pen-interval 100 / num-people
% h7 ^3 D' c% U plot 0* `1 q; C' s: V2 s; j
: X# w; `% i2 ?0 r
let sorted-wealths sort [wealth] of turtles
/ V% _" E* U$ V7 O1 s let total-wealth sum sorted-wealths5 r* k* Z" H+ \) [ o- j
let wealth-sum-so-far 0
5 J7 Z" B0 `- q6 s' ? let index 0
/ w7 ^, H% _8 V' ]* Y. g let gini-index-reserve 0
( o4 |/ i7 Y- l& k! E# Z* @# l
% g/ x* V5 u- T% C+ M& Z8 l repeat num-people [
; E' e2 V. L4 H/ p: b) X! W set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: x( Z- y0 M ? plot (wealth-sum-so-far / total-wealth) * 100
" I# C9 K1 B/ i- R. C+ y set index (index + 1)' R3 I7 k: X$ l$ _) d! e
set gini-index-reserve0 Z8 V: S9 t# q& p- g
gini-index-reserve +$ m- M' E1 J5 V" D5 C
(index / num-people) -- F/ S$ z, o; i6 ]+ S! M+ J9 f
(wealth-sum-so-far / total-wealth)
\0 Y& |, f& r5 L5 J: n a; n' o ]: l& [* p# w! q
4 F+ F$ K& c9 i0 L+ q: ^
set-current-plot "Gini-Index v. Time"8 f! g3 W6 G5 U7 F% u
plot (gini-index-reserve / num-people) / area-of-equality-triangle
7 d' Z# t- ?* A7 `, |# Lend
" X7 x5 y2 R! N) U; e: Hto-report area-of-equality-triangle0 g4 p/ c% K w# o, b
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* ]; [. F2 v$ j+ v
end |