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
5 ]; d" G: I v3 x# M6 e1 Dglobals
! [2 A' z/ i; M* V+ o2 o2 n& \[
2 h# g: O7 e( }9 [" p/ T3 s max-grain + {/ M0 G: u4 o! h* S: m$ h2 O8 ]
( [7 q9 r8 t) @( J. E: _]7 ~1 e! Y1 m2 F# k
4 n" \6 r0 C% S# ^& ]
patches-own
* [; }. w" M0 n! H( d3 I[
+ n' E: M1 }0 B \, d/ s L. z grain-here # t1 U; f3 b+ j/ |2 X
max-grain-here c- t h6 \" x9 J% {
]/ \" j+ ~1 U' w$ _3 B# H
' N% L8 _' e9 Hturtles-own* Z8 l3 y( k: @" X/ v' [' c* @
[4 O( o/ V% F/ m- q) D% _; h
age 1 a1 |1 f; [ `5 J! J' j( m1 @2 K
wealth 2 Q7 {3 s2 _: v8 y
life-expectancy
& o$ B! C& c. t$ ]$ j# z metabolism
. X' ]+ w0 A8 S8 ] i vision
& {8 P1 s* E, M- {8 S' _6 P8 b inherited % z4 i i2 Z! r4 w! r( S
]
0 t& ~, M- W' g& W$ `
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% C# i# _ W5 ?to setup9 o5 @6 U( d7 o, C. d: U% e
ca! Z( R# q+ O* i2 ]5 e2 n
set max-grain 50
0 J& I ~7 K2 S setup-patches9 @; A0 g' c. B7 N% }; O7 q) `7 Y
setup-turtles
4 p7 B) `. c( @( |7 k& X setup-plots
1 M2 n3 v, x/ o update-plots
* P* b. w. j# H! J7 x# o8 q) Hend, i# \6 y s) i) z
to setup-patches7 l1 z! \4 E O: q/ H
ask patches5 z- V" \/ I3 N& ^
[ set max-grain-here 0
D4 f! n6 E6 H! U$ E4 p; F if (random-float 100.0) <= percent-best-land6 q8 d4 y. g" ?7 X
[ set max-grain-here max-grain$ T8 e! z" D0 O2 Z7 Y2 @& W. h4 E
set grain-here max-grain-here ] ]
" v) `3 _$ B \% i4 p! b! |. ^ repeat 5# V7 P r" F1 t, {3 N- D
[ ask patches with [max-grain-here != 0]/ K J1 g* x% ^# N8 S
[ set grain-here max-grain-here ]3 R+ j9 ?3 C& ~3 z5 b/ b% G" U8 v
diffuse grain-here 0.5 ]" Q9 ]0 A2 `; [* @2 S
repeat 107 W; S6 X; B K0 a% f' g" Q
[ diffuse grain-here 0.5] 4 J8 `: _) |. E2 ]$ H
ask patches3 n8 D+ b2 m# \3 X
[ set grain-here floor grain-here
( S7 I/ @6 y0 C4 C, |8 P) g set max-grain-here grain-here : ?9 j9 ^- z( \. e. N
recolor-patch ]' g, o$ C' x) J; i1 c' u) ]+ P7 l1 q. {
end
% ?/ L/ v+ z" b l8 uto recolor-patch , |( j$ E5 S4 R4 z9 T+ R& h# c: X
set pcolor scale-color sky grain-here 0 max-grain
) l1 B4 {8 n) o% d) J" F3 oend
2 Q s$ G9 B5 e# x/ |. P! yto setup-turtles) z( u! R! {' c! f. `& G" ~
set-default-shape turtles "person"2 a! z7 [! A/ b$ C. T3 T
crt num-people
3 s T" O& l4 f9 n" {; X [ move-to one-of patches
/ T( A7 c1 f2 n$ t set size 1.5
( f& X; ]. J' p+ |6 Q set-initial-turtle-vars-age
1 A6 `% {8 b0 o1 s0 [* N, z& h5 ?% t set-initial-turtle-vars-wealth
/ n3 Q9 Q& ^3 u* U9 x( O% d set age random life-expectancy ]/ j4 L% I9 p) V: r
recolor-turtles
7 A* ~" s" ]: L" D6 u Uend
9 @; j# I& t* }% g3 }- N, P
5 o+ G6 J, Z, `3 b6 vto set-initial-turtle-vars-age) D% M& N4 b1 H+ `- \5 X
let max-wealth max [wealth] of turtles$ _! V+ G* ~) ^# t' m+ Y3 ^% k) j
6 O( w1 |& M* t: X2 ~5 u o
ifelse (wealth <= max-wealth / 3)
, c) X8 W) J I8 g) o6 X' D$ |$ Y U' U [ set color red ! W' F8 Q# M7 W& e2 C( A6 C
set age 0
6 }# ?2 L% {7 _ face one-of neighbors4 . \. ?, L! o( k
set life-expectancy life-expectancy-min +. w6 o. P% V8 B1 x/ G- T
random life-expectancy-max
2 u' X7 P5 a" g* l" q |& X7 Y2 H8 H set metabolism random 1 + metabolism-low' a1 g" [, Q/ T( J: u% a
set wealth metabolism + random 30
0 m6 r, N$ N3 E& \/ {, R* C, N set vision 1 + random max-vision3 U/ v5 ~ I: b* e
set wealth wealth + Wealth-inherited-low ]
2 ]0 n. J, R( i; ~( D; x7 u3 E1 r [ ifelse (wealth <= (max-wealth * 2 / 3))1 A" n; I( E9 O8 X8 E
[ set color yellow
- \+ X7 R' l. m+ \ f+ O! F set age 0
H& q: o9 m$ p- W, J e face one-of neighbors4 9 L& i' Y7 d; _ g) _2 ^; c
set life-expectancy life-expectancy-min +
) w K3 w3 F1 B1 h9 R, K! [ random life-expectancy-max + 1
! [2 {8 o) l% a3 k set metabolism 1 + random metabolism-mid3 _, w D" _, q ~4 w
set wealth metabolism + random 301 V2 S% [: T; J' F$ K/ s
set vision 3 + random max-vision, x# b* u6 p" _3 }' Y' ^
set wealth wealth + Wealth-inherited-mid]
7 Z5 e* }6 F8 v2 r$ \ [ set color green ; P/ c+ w" D9 }7 e4 J- X3 Q
set age 0
# M; f' l" i6 O D face one-of neighbors4
5 R% _7 t/ D8 U; ] set life-expectancy life-expectancy-min +, Y# G# X5 l$ o9 F4 I
random life-expectancy-max + 2
3 [+ z' j! N1 W8 v. B* T+ |, ^* e set metabolism 2 + random metabolism-up: x( B" X; {" c; Q) Q
set wealth metabolism + random 30
$ [3 E1 A- Y# v% J set vision 3 + random max-vision4 x5 l/ N, x1 X2 E. n: A
set wealth wealth + Wealth-inherited-up ] ]
% f, c) m2 `% ~' h6 h. L & ] D; ]# G* c% n
end$ H5 D6 f* {* a$ {# y( K
to set-initial-turtle-vars-wealth: p- e6 J( [% V+ z" ^
let max-wealth max [wealth] of turtles% U" \5 ^+ u4 { M3 J+ O
set age 0
: W. {2 J7 ?; Z2 F face one-of neighbors4
* f& X9 r+ Y5 G3 |& g. `; Y set life-expectancy life-expectancy-min +
+ j/ W9 w- Q* u) ], l random life-expectancy-max 5 h+ G. c& x3 W, L& k
set metabolism 1 + random metabolism-up
0 i& A8 r$ }1 O) s) j- }" I0 i set wealth metabolism + random 30
1 T; z" A. j; Q, i% T set vision 1 + random max-vision - v3 e. W* p) t% `
end
4 G: ~ z9 B. A8 `to redistribution; o! P/ k0 B' n; x
let max-wealth max [wealth] of turtles
# M; C: ~' c1 A5 @: Q& W. h, Jlet min-wealth min [wealth] of turtles
' _/ G8 s9 T2 @+ O% h2 ]5 hif (wealth <= max-wealth / 3)
$ b( E% L4 F, x) f1 d% ?2 l9 W [set wealth wealth + Low-income-protection ]7 O' }) t' w$ ^- N6 D
end- I8 o. E% P# ~5 D# ~ }
9 b2 y, a2 I2 z2 s6 yto recolor-turtles
/ U' x8 m$ k2 ]4 _5 M' U' a) A let max-wealth max [wealth] of turtles
# p S' [9 |3 ` M- ` ask turtles# ?" v n& A4 H8 X! J4 b, ]5 D! e
[ ifelse (wealth <= max-wealth / 3)
$ W, q. O, ?' U1 ~: ~ [ set color red ]$ W. q. q% ^8 k& L
[ ifelse (wealth <= (max-wealth * 2 / 3)): i! s% \2 G- z- [- C
[ set color yellow ]& f2 ~/ D* u1 M1 o/ Y% j
[ set color green ] ] ]& P2 C( n5 Z# U; P
ask turtles [ifelse show-wealth?# `" \5 S, C( v3 n, z% ^5 K, i
[ set label wealth ]
8 N2 W* H6 Y% @, p+ d: v [ set label "" ]]6 J, z3 U; {+ z6 [
end
4 ]/ ?& V3 x! P/ l2 W( F& R" `# y
- S l$ S# B; K9 l {7 K5 Vto go
* W) T7 I6 j5 l9 q) Z. a ask turtles: A3 e+ S9 U8 K% k$ _
[ turn-towards-grain ]
* v: L7 U' P$ w) V- }% G harvest2 A0 f0 u4 n0 p; X! I
ask turtles9 y: |7 c) z ~5 b5 W5 ]& H
[ move-eat-age-die ]
0 X9 N4 O- ]. v! N8 Y" V recolor-turtles
" t, M% y1 x# h* O7 F) D3 I9 k1 u if ticks mod grain-growth-interval = 0
. O u4 |8 [4 L. M1 M/ J0 Q+ V [ ask patches [ grow-grain ] ]0 h+ h) d) g1 V7 t* n7 Z
8 D$ \/ U+ p/ Y; @% V' `8 U if ticks mod 11 = 0
2 W, {" @6 s" O6 ~2 q6 H; J5 {/ Y [ask turtles. Z6 k2 M' U8 S ~
[ redistribution ]]
( }7 y) h& G# d4 D8 |# n if ticks mod 5 = 01 A n6 T0 Y! v! ?
[ask turtles
; k. ` V& b3 r! x9 ~ a% ]1 `' U: Q [ visions ]]
6 w& T) ^4 W. U: A# s) {* C tick
3 S% n, g! g+ {1 o' J( n6 A: g update-plots
( F2 }1 Z. r7 s# Q9 _/ i" }6 ~end
. O1 Q r# ^+ z! B! Kto visions
) j5 ?, W- V/ d+ H' }) C set vision vision + 1 - e: B9 i: t+ A1 V
end3 l! ^* e5 X2 c& _9 _# H
3 j' L4 { z# r" m9 z
: B" y. ^. N% }- y$ L0 l1 H' d1 Y; o9 u' e( G$ p2 [
to turn-towards-grain : ]( a+ a0 v5 C; d6 z4 z$ l
set heading 0( @& }' {& \! L
let best-direction 01 {2 U; _1 C! o2 r
let best-amount grain-ahead
4 J2 a2 I o! o1 f# w# a5 C# | set heading 90
* \) b( V# D& O% V& D if (grain-ahead > best-amount)0 J1 l! X$ ?" N) [3 V h- Q+ c8 s
[ set best-direction 90. K# W _3 \" q# |# P/ U
set best-amount grain-ahead ]4 i1 ~3 e! P7 P$ ]6 L6 H1 O
set heading 180
( T1 v- F' a' C) Q5 i1 R if (grain-ahead > best-amount)7 I2 x9 s/ C$ n
[ set best-direction 180
6 u6 H) p, L- n$ X. l2 }& R E, K set best-amount grain-ahead ]
# v& C% Q4 E- o$ }1 x" v set heading 270
4 M# ?) {$ v# D if (grain-ahead > best-amount)3 I; X# F* t+ @$ l2 @1 ?
[ set best-direction 2709 S/ w- [7 l# C/ J6 G, s
set best-amount grain-ahead ]
1 n4 N( B' A) k1 P; t set heading best-direction% i F8 [/ v/ t1 m; a9 A
end
: d; x: D7 I) d0 x1 ~% Q6 \- h" J) m
* m; y6 f; ^; }
}; e* u: ]9 M: O6 R3 ?& pto-report grain-ahead 2 K, \1 G: b' P4 p$ l- B% K8 C
let total 0" Q1 q1 V& m# ]! g8 I0 O
let how-far 1* T' D/ @& l- j' c' a7 y6 J
repeat vision
$ ^& ?7 e' U: j [ set total total + [grain-here] of patch-ahead how-far
* L2 b) x* g) z) J& v$ x set how-far how-far + 1 ]! d" ?& K* n) n0 M7 U
report total! d1 l. o H& K" c) |4 m' i
end
, Z6 L3 T1 f* ]2 _2 C+ b9 T o
% b1 _5 p6 b; z7 Pto grow-grain + j1 }/ e# n8 ?& D5 i
if (grain-here < max-grain-here)
5 }" Z& {0 K1 M [ set grain-here grain-here + num-grain-grown
. s( Z8 u# ]( E$ [" U4 B; _ if (grain-here > max-grain-here) ( s" @! s. D4 o4 f# w" z# h/ K% P
[ set grain-here max-grain-here ]
1 y ^% q1 z: z" D recolor-patch ]
- l( j( G4 ]9 e8 _4 U4 Uend% _ l" } a7 |0 G( v$ v* T
to harvest% z: F6 D9 L5 U0 l" h, G
ask turtles5 y }' J* F, E5 H; L! i" M
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]$ G# z; k3 u1 W# p. @/ e. I8 b8 I
ask turtles. T) V* G4 T( Q5 x1 S" R
[ set grain-here 0) {2 q$ x! v$ P! _
recolor-patch ]
5 t+ f' G3 d# H/ S- N4 p- P( _
; @# T; G+ L* p% M: send
7 K. ]5 z5 D! b: T0 H3 ^# m2 M/ U. K/ i: ], g! Q/ T
to move-eat-age-die 9 }) k% I9 I" Q3 o
fd 1
' ]9 V9 T J+ n; A2 c" w9 } set wealth (wealth - metabolism)
- y) _: j! M" R4 |4 c( }& m* l+ D set age (age + 1)
6 m5 s& U L! Q$ ?* Q) v) _ if (age >= life-expectancy)! S$ w2 h2 y) W( S" o$ Y
[ set-initial-turtle-vars-age ]! N$ N9 F& ^0 V
if (wealth < 0)
! X0 s M8 e& y& w( j [ set-initial-turtle-vars-wealth ]% `/ s! I& ^2 u9 f; E. h# w' L
2 ?2 V0 J4 Q6 X( u2 m/ eend
( S- { n2 \ z6 V6 S# z u. c
6 |" @$ Q# Z- {/ p+ F) V$ T1 K- D$ w6 O
to setup-plots; V, N4 H+ B; i% L: V
set-current-plot "Class Plot"
5 y: p h2 }# Z: O( H* w set-plot-y-range 0 num-people
1 {2 q% y4 B" l set-current-plot "Class Histogram"4 t2 K) k/ Y$ T1 [, W: W
set-plot-y-range 0 num-people+ C1 m! ~* R% M. M% y
end
. p' {% M* @+ K" X$ i; t0 s1 k9 j/ A6 ?+ j7 D6 s2 `% h
to update-plots- W9 ? e2 D0 Q5 Y1 l" v
update-class-plot
, q/ ~$ v. h' d& @0 y1 o' X! d update-class-histogram; a0 b' ?8 d9 O/ b2 t# ~! V
update-lorenz-and-gini-plots" a5 s$ W( p5 E7 y2 C6 ?/ ]
end* v( b) c' O8 {& B! G
. @# F9 y1 {+ C0 W Pto update-class-plot
" e! I# X6 D! I0 Y% g9 u2 F( C# { set-current-plot "Class Plot"
6 O0 A7 D8 W7 m! e5 s: R set-current-plot-pen "low", s1 J1 x+ L" G
plot count turtles with [color = red]
4 C0 B2 e- R8 w5 S! z2 G$ R set-current-plot-pen "mid"
& ]8 ], U3 `/ t$ a, ~ plot count turtles with [color = yellow]
: |% K+ x7 e4 }3 `2 E! p! Y$ N set-current-plot-pen "up"
% Q+ q0 `; n3 j( k8 W plot count turtles with [color = green]" e4 i/ R) i3 H8 Y9 J0 B% Y# z) N
end1 h8 v3 A/ p4 T8 z" Y8 h" U# _
7 l( [9 n6 `- y
to update-class-histogram3 X# O) f* n3 A8 u- g$ o
set-current-plot "Class Histogram"
: c q) o- L4 c3 H8 O plot-pen-reset
- I5 I; c, e. }! @" H6 ~ set-plot-pen-color red
. h1 V- T) C" S% G' G" I7 z plot count turtles with [color = red]
( \0 G9 e' M( B' ~' S+ l- ~ set-plot-pen-color yellow o! X- X" ~ T
plot count turtles with [color = yellow]# N7 b. T7 }! f: S5 ?3 g
set-plot-pen-color green
5 S$ _) o4 C b3 J plot count turtles with [color = green]% a2 A+ L* s* _3 G# w
end: u3 p& B7 |( v% C4 `1 v* t
to update-lorenz-and-gini-plots: l8 L$ ?; _" l
set-current-plot "Lorenz Curve"
% J- u# Q$ h+ r6 W6 v* n/ H clear-plot
7 k( C1 [3 {4 [6 C9 C4 T2 O' t; J$ ]* O+ R e
set-current-plot-pen "equal". x& A' o# B& E* L5 v
plot 0
4 n: a6 f/ c+ T i plot 100
* A2 x9 C( J6 o9 R# A7 D
2 i8 U: L6 \& S; d1 s4 t9 z set-current-plot-pen "lorenz"
$ e; Z, r D; b1 T, A% |# V set-plot-pen-interval 100 / num-people# o" y8 X: v; X
plot 0& {& J8 B; p) X% c4 a# f
3 h- M( \( t( b let sorted-wealths sort [wealth] of turtles" Y0 ]* k ?0 V5 Q/ X, {
let total-wealth sum sorted-wealths
1 I P1 @, y( Z5 K, J( \% L8 ] let wealth-sum-so-far 0
( B" s U% F8 a let index 0+ K6 I8 g9 o9 A& v
let gini-index-reserve 0& l0 h$ K$ }& y: s3 s' a
; f3 K8 N( m( Y$ J3 k/ _$ l repeat num-people [
! B, K7 Y" j% d3 @" d& p set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
; `+ f. i8 L6 I x9 I plot (wealth-sum-so-far / total-wealth) * 1001 [' ]' I( _; M; o
set index (index + 1)1 D! @6 Y$ f1 x6 ] M
set gini-index-reserve7 ]' Y f( j M0 T9 n
gini-index-reserve +: T% X8 P/ }8 H2 H3 v6 t
(index / num-people) -7 S# ?* L# v1 V: }" D3 l; k
(wealth-sum-so-far / total-wealth)
2 O+ v' X8 C# u1 ?5 _ ]& g! ?( H: d% d" n6 Q
. w9 Z* l. O5 U# ^" ~ set-current-plot "Gini-Index v. Time"
; H; U: r$ K$ _( Z% `' _ plot (gini-index-reserve / num-people) / area-of-equality-triangle
; k9 t: V1 b" I# h6 B1 nend W+ ]! O: J0 y6 Z8 B; K0 x+ ~
to-report area-of-equality-triangle
( [. M( ^0 ^6 { report (num-people * (num-people - 1) / 2) / (num-people ^ 2)& @# s2 C0 K: G. ^ Y" k* L. |
end |