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& J( p3 Q" [5 g* @" ]% }
globals+ i: O4 F U& f' W; S2 G
[* j3 r0 W# d' ~" q
max-grain
2 ]4 E/ v; ?, @" U1 ?. {' q5 R. `# D0 C4 W# Y3 Q2 y
]
) E$ d4 `# M7 e7 n3 C, a Q6 k) Z- b( E0 i, Q
patches-own
9 o2 I2 o2 w1 _( w$ a[* f" r3 R$ a& a0 g ~% `
grain-here 3 T6 B1 s$ B4 k5 Z. T% B7 v6 u8 f
max-grain-here
' _0 v, G5 {/ v6 b] ]5 K. r! k/ q
7 k* v8 |& ~8 Q# Aturtles-own, ?8 m$ m* ^ M0 I
[
2 d' f" n7 e5 f4 \* f2 } age
r+ u# W( M( _) m9 S& L& w wealth
7 Y& g, V7 h9 q+ D life-expectancy / {% v, o1 y: K
metabolism 6 ]8 F: _: ]6 L2 ^4 Z
vision
3 w+ y5 \8 ^) Z7 A inherited 3 N4 l( o2 X* y: R% S, C
]
* F; `4 y. O3 x" I; L4 _
. b5 e& M5 y5 P! j# M1 q
2 F# b; c8 o+ n1 m; oto setup5 B( `! [4 V2 Y$ h
ca
& Z! q' m; |! I set max-grain 50
1 U; x+ t* d1 ~- T5 m3 d. g setup-patches
, V' i& [0 i1 S setup-turtles2 u4 l8 q+ m6 P2 h
setup-plots( E8 n$ N& y$ p" l) k r
update-plots
4 n0 Z! ?9 p) t# K- q( zend
7 }% \( P! g" [- ]$ b- H# wto setup-patches0 W2 \* e$ D# R8 I" r
ask patches
5 i/ E. A( W; u: _7 d+ u# B' \ [ set max-grain-here 0
, A! z2 t" K: n. Z if (random-float 100.0) <= percent-best-land8 w+ j5 j3 H8 N
[ set max-grain-here max-grain
+ A0 p% W' Y& J9 D set grain-here max-grain-here ] ]2 Y+ i! i* m7 M
repeat 5
8 [4 @% }" \" h9 t5 E4 E9 w [ ask patches with [max-grain-here != 0]4 }, m, ], i1 I' i5 ]9 |
[ set grain-here max-grain-here ]
- p6 j3 g# c x- _ diffuse grain-here 0.5 ]
! Z; j1 n- K2 ~7 S0 N% L* H repeat 10 ~) p' x# _/ R2 d9 T* P
[ diffuse grain-here 0.5]
# F5 O3 J9 g5 {; I' z+ [1 s+ Y ask patches
* w5 J% ~- y G" E7 a2 ?# |0 z [ set grain-here floor grain-here 3 g4 k1 Y; y9 Q% g, t* l, L6 O$ S
set max-grain-here grain-here r" ]* E# H j2 P
recolor-patch ]) J& V9 U' V* u$ @
end
6 K' M& u6 `: K- A% z" P& rto recolor-patch $ v: B4 U, l( e5 g) n0 @. |& D
set pcolor scale-color sky grain-here 0 max-grain
* ?. P8 z3 n; Xend
+ @2 U' t$ U, K7 \ R9 O' Dto setup-turtles; _! ^2 T+ i2 t4 R* J4 q: A
set-default-shape turtles "person"
1 @% x" X& ~5 }* `6 ?1 \ crt num-people5 y- h$ }7 P( g4 N2 m
[ move-to one-of patches $ H0 t f( a9 `; ^
set size 1.5 3 g( v1 B4 @+ I2 D
set-initial-turtle-vars-age
# r) n) b' @! U# t6 ? set-initial-turtle-vars-wealth
7 x9 ?% t+ b# L) n0 C, l0 ? set age random life-expectancy ]- Z- b( T/ D% E: s- z# P: k
recolor-turtles
( l. w0 Q; l8 J5 g% nend. R u7 r6 W }: _5 X4 e* s, k; N
& i% c& U. H: K: d* x
to set-initial-turtle-vars-age% v8 W- k5 `/ V) o4 a
let max-wealth max [wealth] of turtles$ g8 o2 V- {/ X" k% ^
2 n; p0 U6 h0 p4 ^5 k6 ?( r
ifelse (wealth <= max-wealth / 3)& T* T3 k) P$ }3 @4 U
[ set color red
1 A& X% l; x H, w4 T set age 0( x5 A/ L" q9 s3 t
face one-of neighbors4
' K. ~# B' ^1 p i9 n) L* S- H1 x set life-expectancy life-expectancy-min +
9 `$ ]& x( _1 z4 I) G0 M8 u random life-expectancy-max
) X* a+ k; R6 n( P8 \1 O0 D set metabolism random 1 + metabolism-low7 Y5 U" R3 o: N; R
set wealth metabolism + random 30
! F2 x. W) y$ |* [ set vision 1 + random max-vision+ d7 u6 O5 D1 j$ \
set wealth wealth + Wealth-inherited-low ]9 v1 b& b- S" _" E
[ ifelse (wealth <= (max-wealth * 2 / 3))
3 g& a% p8 R$ E- P$ ]" F' U: q [ set color yellow ( p' ~: b& e3 J* N: y) a- V. @
set age 0
+ h! L3 X5 i# C% I/ s% f8 f face one-of neighbors4 - J, b; b3 s2 y; E
set life-expectancy life-expectancy-min +
( r! h, b+ q. F6 H% Z2 y random life-expectancy-max + 1
/ ^) X1 s% v4 U' k set metabolism 1 + random metabolism-mid
) v/ p% l7 S6 u; J set wealth metabolism + random 30
3 g5 i; @7 E a$ F6 c6 |$ O8 A set vision 3 + random max-vision
/ S% w) t5 C2 _4 p set wealth wealth + Wealth-inherited-mid]
8 L: k+ l3 \: N& N [ set color green / E" N3 ^# C* N
set age 0
+ K/ p( g' R2 j* M! S face one-of neighbors4 z# a' D' R& ]- Q# m: y+ j& `7 s+ S1 x
set life-expectancy life-expectancy-min +" _. ~6 J* W4 K& b; [2 A$ {8 i
random life-expectancy-max + 2
/ H% u; k* d* m0 C. H: t set metabolism 2 + random metabolism-up
( c# L- e t ]* J set wealth metabolism + random 30
! m: r# c/ c0 F) L3 W* { set vision 3 + random max-vision
0 p3 Q+ U: u4 Z# @0 z set wealth wealth + Wealth-inherited-up ] ] " l( z. ^0 o+ Y% r, M9 c, X
9 \) o8 g6 J; K- e
end
2 s$ E2 ~' H. D4 n( ?9 Oto set-initial-turtle-vars-wealth
) R0 i, p# H& I, o let max-wealth max [wealth] of turtles; P( E; m/ T+ D! G
set age 0
8 p" H: d4 l, T9 Y3 B, S9 l face one-of neighbors4
: Z. t& |8 y. g. W7 ?0 r set life-expectancy life-expectancy-min ++ Q: b* F+ `2 J& z O M
random life-expectancy-max ' ?9 l" H) C. w, I6 t
set metabolism 1 + random metabolism-up
( _( `5 |; q8 W( |1 K set wealth metabolism + random 30
* f) d% s4 v* M; w1 P* f set vision 1 + random max-vision ' x2 y5 f% i6 T7 i5 q
end; P v. |9 X% `" G$ t! H9 G4 V6 ^
to redistribution
0 x; z* F2 h4 b$ V) N" }) Rlet max-wealth max [wealth] of turtles* X2 y7 D g: Q
let min-wealth min [wealth] of turtles
3 h: n* A$ H8 n0 m3 E0 rif (wealth <= max-wealth / 3)
( j N: T. h% c" V [set wealth wealth + Low-income-protection ]
2 ^: g. } c* b# Y/ H& {5 |end
" c" u+ r5 [" O ! q" }9 ~% S% B1 |6 a' }, r9 V
to recolor-turtles
1 u5 o( S; L$ D/ _& ] let max-wealth max [wealth] of turtles7 l2 c% }* l K! j! ]
ask turtles
! I" U" u0 Z& k" }5 `+ }( [* {, T/ [8 J [ ifelse (wealth <= max-wealth / 3)
. e9 ?) q- f9 ~/ f [ set color red ]1 ]# G7 J+ \& s/ y1 E( o9 F. B- ?
[ ifelse (wealth <= (max-wealth * 2 / 3))
7 a0 i# E, p; d; ^7 f) a* _ [ set color yellow ]
L& H* ?) v8 Z8 e7 q [ set color green ] ] ]# S6 E* r7 H; l- U; x5 R/ p8 e9 l
ask turtles [ifelse show-wealth?6 X/ x" S4 y$ `2 T( U/ P
[ set label wealth ]+ B, J( O" U. ]5 P; X" r# v! M
[ set label "" ]]$ z) A% {4 `9 F+ x1 c8 g- T2 y
end
% ^6 z3 c/ K, Q5 N, ?2 O# E1 z* `, f
to go
2 m3 h& m: T6 V4 d ask turtles+ p1 X' B/ S- s, _
[ turn-towards-grain ]
+ D0 H+ i( @1 r5 E7 V harvest
2 L- k% N( N l1 [ ask turtles
/ c1 v. @5 A: i& c+ R5 e' ~ [ move-eat-age-die ]
3 P7 C$ B/ k& F% t recolor-turtles
: n. o" w6 ]6 M& g6 C5 h# } if ticks mod grain-growth-interval = 0
5 f* K+ H* e `/ O [ ask patches [ grow-grain ] ]* X$ n9 ]' C0 h3 O4 }! J
- W. w2 d" \+ b8 b6 O2 Z7 ?. ~
if ticks mod 11 = 0) F4 \' p- p5 V7 T2 Y! W ]3 ^
[ask turtles
! P+ w) O" A- K3 H( G [ redistribution ]]
# I% r' ?" X: R- B1 l. s9 u if ticks mod 5 = 0
% U& e: ]- `, ~6 R9 j' I+ |0 k0 | [ask turtles4 R6 p! ]9 Z P& z t7 T% \
[ visions ]]
$ M7 W* [. g1 n9 y tick
8 n: i0 Y. y6 B/ N update-plots; u8 T: {, Y+ Z. ~9 i. a3 z/ E @& i4 H
end
T6 T1 E- Y2 |8 b( _to visions
' o% C) ?$ k2 N3 U& [2 B set vision vision + 1 E$ s* r& U2 P4 g
end2 c) k7 r \5 u' d" X8 N) b9 |6 U
; y9 |- c6 r. E: I5 {5 m
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% m4 T' u. w1 M8 Uto turn-towards-grain 2 Q$ t% y8 ]1 V5 C" l
set heading 0
+ ?) [: y @$ s$ v8 r let best-direction 0
( E/ i- r1 ]3 y/ U9 T4 g6 P let best-amount grain-ahead
8 T, M5 o8 K: ^! @ set heading 90, |( A- Q# ~, P" P: m4 d3 n+ b
if (grain-ahead > best-amount)2 j* E- N4 c( P! u5 w
[ set best-direction 90
' Q [) W2 Y8 }+ h) r* m5 A set best-amount grain-ahead ]8 c7 b; }7 p! N% W8 g% Y5 y
set heading 180
& M7 A; J/ A; L7 h+ e if (grain-ahead > best-amount)
{0 f7 @; v5 A: A6 K; b# D! @ [ set best-direction 180
4 E# s& A+ e( L1 G# f* F. v set best-amount grain-ahead ]
6 d$ d) G q/ t* x, z% I set heading 270! @3 x( C# M$ l7 H
if (grain-ahead > best-amount)4 g- J' i7 L, H) h+ W! u$ ?8 Z. B
[ set best-direction 2702 W) {! ~/ O) X. U- F5 d4 I
set best-amount grain-ahead ]
) t( m% a! J+ \7 u" U4 a$ T$ ~ set heading best-direction, }& L; p |7 z
end
1 m) C+ B1 w: l4 b8 F) _
9 m- P3 x5 Y) \* B- s# Z0 Z! g; h. f7 M0 i. g
to-report grain-ahead
( u( j* B8 ?$ f1 a$ ` let total 0* e, R/ G* [7 | {8 @) X
let how-far 1. J5 p9 b3 r) j* }, i
repeat vision$ q. K! G1 N9 v: V- O' T* }5 G
[ set total total + [grain-here] of patch-ahead how-far2 X. Y. K1 E! z8 _! M, e
set how-far how-far + 1 ] z" t+ B8 n- i( U- |$ r2 P" ~ e
report total6 D+ W, L8 ?" d w4 l( m! _/ P
end
* x% e5 u1 Z3 V7 ]* y8 { Y( Y6 I9 H& ?
to grow-grain " H8 [/ x% k. q% C9 }
if (grain-here < max-grain-here)
# r: P1 {9 x9 x! x& K0 x$ y [ set grain-here grain-here + num-grain-grown0 O/ w- f4 ]7 s: o) m! B. o
if (grain-here > max-grain-here)
" {' r8 [9 U: b$ E% c$ o [ set grain-here max-grain-here ]
1 K# Q8 d& c6 O( i. g recolor-patch ]# ?/ V4 @ y: p6 @. G
end
! J9 a& p. \5 T* j, fto harvest
, S5 ?+ B& ?' \ ask turtles2 {6 X0 o! K4 l# D0 J3 l; J: S
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]) z. u" H- L, |, v3 X
ask turtles
- j# k; ]# T1 h3 _3 _ [ set grain-here 0
- R) U2 Z" e- ]5 g recolor-patch ]# n/ G5 {* |& k3 \! r
% i1 T. c0 D' Y+ P" v$ L% L/ \end
- q- z! F; n- K1 j" c6 N( X* p& K7 f4 x6 Z
to move-eat-age-die
( j0 u3 U) t1 ] fd 1
( ` @, u4 M" x& ^6 @- l: O set wealth (wealth - metabolism)7 r! M7 w i" [5 r* H* t
set age (age + 1)
" A2 G: I0 U1 `6 [& K6 J if (age >= life-expectancy); G+ |( _. J6 Y4 Z) m* a
[ set-initial-turtle-vars-age ]
) `. @0 O! e$ c/ E; e6 c: X" Q7 z7 E if (wealth < 0)
) E! m1 X3 s* `: ^ [ set-initial-turtle-vars-wealth ]
5 n! H4 i+ l+ Y' L4 T
& L, Y# Z9 C& ]* t- y2 ?end
; w1 ]) P' x0 H- |5 r. y H2 A$ {1 L
& I5 A* x- z0 z' S) [% L% _# | T- G h6 x% m
7 f; D) T9 l+ x; o9 c/ Z4 Uto setup-plots
: z" f9 m% \0 |. d4 o c set-current-plot "Class Plot"
! k/ b$ q ]$ C1 U" ? set-plot-y-range 0 num-people
# Y/ N1 l1 ?0 D! F# D7 E set-current-plot "Class Histogram"4 f( @# ^ |" \) D0 S, V* a
set-plot-y-range 0 num-people# S" c- L6 h9 v& a+ O* B
end
7 J V4 |% p) r2 `% c5 e8 Y) P: o! M' w1 k& ` G! B6 d
to update-plots( @& U1 M; U! h8 H/ K) V: P
update-class-plot& v0 B" o/ \7 S) d2 `" L1 k" x# _4 z
update-class-histogram6 m& s. Y3 ~" c: i7 V5 A. u
update-lorenz-and-gini-plots
9 N$ G- J) O1 D- p; j( uend
( N! m, W6 @1 S3 ]5 s% b0 p2 H: { |- { b% G5 I+ A
to update-class-plot
' D# `1 n7 ]4 b8 N set-current-plot "Class Plot"4 h6 D* N# q0 A( o" q$ b2 I
set-current-plot-pen "low"
( z' ~8 V6 c) ^* c plot count turtles with [color = red]* Y# }/ v6 a6 Z8 Q4 F% ~8 D F$ _7 z
set-current-plot-pen "mid"* c. c# m$ C5 m6 w) y3 R
plot count turtles with [color = yellow]2 r& a0 D; S( J8 }
set-current-plot-pen "up"
* }% I. C' \* d, Q1 M9 J! j plot count turtles with [color = green]
1 ]7 b' S" N" E# _" E+ ]end+ t5 f a$ [0 T" g5 j
& G5 [2 g9 @1 d: oto update-class-histogram- \. o& k: [5 U4 P0 P0 T
set-current-plot "Class Histogram"
}* S6 G. l3 ]( G9 A( c plot-pen-reset: e& w) r- f `9 s) O
set-plot-pen-color red" ~1 M8 E! D; p/ U! i, ]
plot count turtles with [color = red]0 b+ Y: H6 {& D- u
set-plot-pen-color yellow
% G$ `! F% \: ]3 X) e! q3 F plot count turtles with [color = yellow]4 |9 A R& ?+ e2 w# O0 a6 b
set-plot-pen-color green
( {) P( x7 o- r7 ^8 E plot count turtles with [color = green]4 R- u5 q5 A0 L3 d) z$ q
end$ a) ^% G# X% P1 x) f# w
to update-lorenz-and-gini-plots8 s6 b' @* B3 ?1 j
set-current-plot "Lorenz Curve"
4 h$ `3 Q1 I* |' n* ^$ @$ E clear-plot5 Q& D1 S& F$ P8 v
# r& ]) q- L7 k8 I( t4 P k
set-current-plot-pen "equal"$ ~) N+ L+ y, r, W l& h
plot 0) y' z* E: T0 W+ `
plot 100
0 U& T0 {: l5 L3 \# Y! E5 X" G2 Y9 z* z$ Y7 z0 `8 a) i3 G
set-current-plot-pen "lorenz"
5 F# \% q/ y% t5 L8 m; ]4 A3 {0 [ set-plot-pen-interval 100 / num-people$ [, [1 `3 Q( X) i3 h, R& x+ l0 E
plot 0' w# Q" `7 ]' W* H' y. n) q3 d3 X
5 u8 k6 _2 M' K; ^ let sorted-wealths sort [wealth] of turtles2 z' g6 ~' Z4 ]7 t' t1 ^
let total-wealth sum sorted-wealths
4 P, d0 _- L, q2 R let wealth-sum-so-far 0
: r' r2 u0 b0 |2 _8 Z4 S# y* m4 T let index 0
0 D) I) X$ y# D let gini-index-reserve 0/ J6 u4 r' D* R; j+ ^
4 v! z/ e* f) T8 \& `7 M repeat num-people [
+ n6 F' x4 G9 G' ]/ u, @# f set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)) Z/ \6 j* N a' h8 Q& }1 u
plot (wealth-sum-so-far / total-wealth) * 100
! ?- o/ `( `% A! ?! a& O set index (index + 1)- Z# d9 K0 ^2 G. Q/ w
set gini-index-reserve
) H+ A3 [1 o) V gini-index-reserve +
& Z' W. y1 G$ X (index / num-people) -
& p' f- H! X/ K (wealth-sum-so-far / total-wealth)( y d! W T* F& o9 ^( ?% U' X
]
2 f% {( C" H& B& j; \7 ?0 P0 O1 q# ]8 h4 ?/ z
set-current-plot "Gini-Index v. Time"
/ }0 l+ `* ^$ J( K plot (gini-index-reserve / num-people) / area-of-equality-triangle
% e! a$ Q% j1 r5 ?( ^/ P5 tend
3 J. R8 s* t- i$ Y0 rto-report area-of-equality-triangle5 M9 w e+ r% x/ q/ A5 _+ o1 }
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- M) P$ {* q6 z2 b/ F; D6 q
end |