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
+ k$ b- P! F; Q2 P V8 c' Oglobals: r$ t4 J" G2 t& Q7 h
[2 @ }6 N) ~$ u, Y
max-grain
/ G+ H/ I8 W% R2 i% R" {$ I6 z p. p# m8 |
]% V8 Y0 X& N7 m+ ^* e1 V% t
) J. A/ u+ A& x U- J& ^+ [# t2 cpatches-own2 V: q$ p/ T# p
[) R! @* H" @5 \2 m
grain-here ! f" W2 V7 O1 {& p3 c/ p& J
max-grain-here 3 F- F" `; J0 s: ~
]2 T1 w" R, Y3 j
( e# A! {$ t* p; M, A. k; w* Kturtles-own' W/ r, E% g0 a) d, |4 j
[
7 X7 c6 k: l, H) e age ( ]0 s+ Z% q% y5 K! ~/ l3 @
wealth 7 o' C0 A9 V7 G# |
life-expectancy
% E) H" F) ]/ P metabolism
# D" N% v% s( { b2 Q/ a8 L* f vision
" d: ^6 Q% s2 W7 P+ F2 F8 O inherited
: S& u v2 {2 j$ Q( W5 x]
: J5 o" e' u: F3 }9 V" B4 Y0 V
& I6 H* `" i( j9 \9 b2 l6 T- e
6 l; `$ N3 U" ~( O1 A/ T$ K% Vto setup- r5 o' V3 ]$ ^
ca
( P5 I9 s0 J8 Q set max-grain 50+ M8 m* K5 @# e4 O: o& z
setup-patches+ e4 i8 z! A' l R7 K
setup-turtles: S, E+ L$ H; F. b
setup-plots
- f5 F3 i( S6 A# a update-plots, U& d" I+ q+ b! ?8 G |9 ^
end8 L: }# X; z4 M# E; P2 g
to setup-patches
1 m: k/ u! O* H1 A/ H- h ask patches/ m7 c) I3 Y" J/ D
[ set max-grain-here 00 g3 ` i7 T% t4 s& o: g
if (random-float 100.0) <= percent-best-land+ Y! @5 g _3 d9 v; _
[ set max-grain-here max-grain
8 @4 G7 N" m& E set grain-here max-grain-here ] ]' h4 p8 p9 @( j- m& j
repeat 5
0 ?: O) J2 D% o' o% v( N [ ask patches with [max-grain-here != 0]
; X3 Y& T( j1 m6 K [ set grain-here max-grain-here ]3 S; J/ h4 o/ j7 s e* C
diffuse grain-here 0.5 ]: F: j9 G2 `7 w, ^
repeat 10. e. u/ b2 V$ U
[ diffuse grain-here 0.5]
) T$ t( F0 i# e5 f5 H ask patches
9 H% E* o, s' x+ j# L6 @/ G [ set grain-here floor grain-here
3 F8 |- E$ s: e: z+ s7 O5 c3 i set max-grain-here grain-here 5 {, r+ H- o6 E* j# R& v) T
recolor-patch ]! {3 t/ C- o& W
end
" K" \9 ^7 H. Z2 c' o; tto recolor-patch + u0 h' t; g& t- F4 L
set pcolor scale-color sky grain-here 0 max-grain
# F1 l% R) B7 h c8 Uend: P! P |" u5 p/ P j
to setup-turtles
) o' M" y! E$ u set-default-shape turtles "person"0 b$ O# F$ V+ D6 ~6 _# }
crt num-people5 t! \! A8 L8 J! O ?. p. ]
[ move-to one-of patches ! d" M$ t5 T! h5 A B) b
set size 1.5
8 A3 G2 P3 I% T) L% M% j' x& t/ w set-initial-turtle-vars-age8 N5 Y; k7 ]0 y k3 ?3 m/ r& N2 M# E
set-initial-turtle-vars-wealth8 l) E* B+ r2 A7 @
set age random life-expectancy ]
/ e$ k2 }% F: U, i" M: K4 a% u recolor-turtles% E/ Y. |+ r0 }; |0 Y
end3 L& R& ~5 O; @: E; B8 |
8 }; _4 O* e( V9 ~* M
to set-initial-turtle-vars-age- `5 y# U% e& |! T( n
let max-wealth max [wealth] of turtles$ R( D, U( C1 w" ] |1 [4 M
0 x5 V3 N1 X3 t ifelse (wealth <= max-wealth / 3)0 Z- I2 u$ ~+ r" u# }
[ set color red ) l& l0 V0 Q; g
set age 0
4 ^8 m, B+ O$ g9 Q: y" t3 a \ face one-of neighbors4
+ y$ e8 C0 W. C; A, I+ Q I( m set life-expectancy life-expectancy-min +2 n! S2 b0 O7 z3 [, I' F2 D% ?. y
random life-expectancy-max
E6 U' q- [0 |- E. d8 }# }# c set metabolism random 1 + metabolism-low& [; y- [8 z5 p: V
set wealth metabolism + random 308 `$ X+ r2 y: K5 B. ?: [1 k
set vision 1 + random max-vision# h$ _( U6 j8 c5 @3 [
set wealth wealth + Wealth-inherited-low ] n' t. S1 R+ B
[ ifelse (wealth <= (max-wealth * 2 / 3))
. ~" L7 L0 L: k9 @1 a1 d) @6 B [ set color yellow
4 e5 ?5 u [3 x' z set age 05 z9 [1 j- u5 ^$ K1 k) R" U' a- t
face one-of neighbors4
, h' S4 ^9 g+ Z1 W set life-expectancy life-expectancy-min +
4 j1 R1 X5 z4 _6 a$ i3 w" _# B random life-expectancy-max + 1
1 p+ k/ Q O: u# A& Z! S set metabolism 1 + random metabolism-mid
' u8 m/ D6 L5 e/ H" i* }2 O% | set wealth metabolism + random 308 R7 k8 L) G. L/ T) s. R+ y9 d* q
set vision 3 + random max-vision
! w0 C9 z$ Q3 c. y( z0 { set wealth wealth + Wealth-inherited-mid]0 C% |! o) X+ s( c4 u
[ set color green
0 L. r/ K% [+ Q& s! @6 h3 F set age 0
( b- g6 v1 @/ P* p5 I7 S face one-of neighbors4
3 w2 P. q/ Z7 G- V0 ?2 r. u/ W set life-expectancy life-expectancy-min +1 }3 G* N7 \# _) u
random life-expectancy-max + 2
& U0 W( ^$ |; J5 G3 u1 Z6 w set metabolism 2 + random metabolism-up2 G+ m7 K7 Y* R5 d' K
set wealth metabolism + random 30; T7 G r2 |0 b3 \# T
set vision 3 + random max-vision
; O7 w1 e+ a4 z! l4 O; J* E set wealth wealth + Wealth-inherited-up ] ]
" K# w. [ _, `) }
" _! `. d9 x1 [$ O: B. }5 K nend+ V7 X0 j. `2 m" Y! i3 x2 H
to set-initial-turtle-vars-wealth
6 K R% J2 p4 p0 _+ A* g, u5 e let max-wealth max [wealth] of turtles
% t; R6 H' i/ a1 q set age 01 g/ j2 d5 X& U2 J+ E% G% e( v1 L
face one-of neighbors4 i! W) T* @- d# Y
set life-expectancy life-expectancy-min +9 o4 z8 @) x7 I' U& t( V
random life-expectancy-max + y9 \# M: f, \, F, v. z
set metabolism 1 + random metabolism-up$ ^; z- W% n1 Q" O% `
set wealth metabolism + random 30
$ b5 N4 j. y: f' i2 \% r$ u4 [ set vision 1 + random max-vision + n/ t8 G, r* m1 x( u
end
i4 [5 K, [4 }# _to redistribution0 [% l1 P4 s% O J, B1 w
let max-wealth max [wealth] of turtles
8 q1 N. s- B4 u( B3 D. Plet min-wealth min [wealth] of turtles
7 ]8 {9 \ q- j/ @if (wealth <= max-wealth / 3)
8 z/ X# i8 D. `: ~ [set wealth wealth + Low-income-protection ]3 a# J" C/ n* }! N( z( y
end& Z( N- T- J8 t. m3 n
/ F T) Z; i" t$ ^: K, Tto recolor-turtles
. _' ~1 \0 {3 i7 H- k let max-wealth max [wealth] of turtles, D9 z# w8 {0 b- M3 o* h
ask turtles
4 H; w8 A, U# Q [ ifelse (wealth <= max-wealth / 3)8 z9 d1 m$ p/ L) w0 _: A
[ set color red ]; o0 J7 Z/ V4 a) ^2 I
[ ifelse (wealth <= (max-wealth * 2 / 3))
2 S' b9 {8 n: M G: C5 U [ set color yellow ]
( X9 p/ v1 _ _( T6 ^ [ set color green ] ] ]
2 h$ M5 H8 L9 I' h5 a" \3 q ask turtles [ifelse show-wealth?
; D( v# a5 c- G* m3 o4 } [ set label wealth ]: }3 U8 p5 H3 w7 K; Q
[ set label "" ]]& Q3 |, X/ O2 u+ @
end2 I7 \6 @6 `1 K0 g/ z7 M
( O# |3 \1 ]9 d8 f6 {+ Kto go
) l7 h1 _1 ~, @ ask turtles
, x2 d7 ?* u1 {, s8 y$ }( S5 B2 @ [ turn-towards-grain ] 7 Z4 H' a7 A9 \/ E' k+ z( I. I# d
harvest
( o" e5 y" N9 Q, A6 O ask turtles; l& Y2 {3 u! ~
[ move-eat-age-die ]
0 C/ G/ F/ z/ S! B- p6 M; { recolor-turtles
) U' w4 Z, U- G* h if ticks mod grain-growth-interval = 06 q- o2 @5 l; d* J9 e- t
[ ask patches [ grow-grain ] ]: F" Q: s+ Q3 y) s6 B5 B
% u' _% S% R1 Q: t* J, m
if ticks mod 11 = 0) h2 L% m: s) a9 O5 q% ~) B
[ask turtles, G+ }6 X' x8 }1 O6 w4 t$ Y4 k
[ redistribution ]]
3 S8 R# c6 x' f' V if ticks mod 5 = 0
8 r* Q) A; _& u2 S6 G [ask turtles
u6 B. C7 H+ q; S* q' ?; t4 v [ visions ]]
1 a! ~8 i; e0 U Z' A( S4 `- \ tick ]5 v, f7 M9 x Z' J, A+ r$ e3 y
update-plots7 v% v: |/ o9 d5 z7 g( Y9 h5 y
end B. F. K) f9 j# ^% w: M6 G
to visions
) ?- A0 D+ r: g9 B( y7 X) D set vision vision + 1 D: H6 p% D. T, b3 G
end
( Z% p0 W5 a2 `. x7 }
2 E9 c$ x8 N5 U% `' Z+ h9 J' K8 p% C# F2 h
. H. T" |/ \6 S# Z2 Cto turn-towards-grain 7 J7 n. c; Z0 b4 T
set heading 01 s- C' P! f8 p& q- y; U6 e: F
let best-direction 0
, k, K1 c/ J% s3 e6 O let best-amount grain-ahead
8 o3 B0 ^( u0 x6 \- d4 x set heading 90
" {- f- p, b/ K$ X: g if (grain-ahead > best-amount)) C4 d3 Q4 q b6 W; _/ {6 O
[ set best-direction 90% Y! {, R( I$ E$ B3 @/ b% z! `* I
set best-amount grain-ahead ]. a9 P% b8 E. k, s, G O! {
set heading 1801 x* @# [8 W4 a* |7 O# f5 m
if (grain-ahead > best-amount), o2 m% Q* J1 r$ C
[ set best-direction 180
- D3 |9 ?' b" Q4 {2 ^ set best-amount grain-ahead ]
" p4 s9 Y6 s$ y L& ]4 U7 K set heading 2702 S6 y: m3 w2 `
if (grain-ahead > best-amount)
: p* q1 l& X% M! R4 x [ set best-direction 270
1 H/ h6 w* L: L$ s/ l. t set best-amount grain-ahead ]# {/ Q( g+ {# u( H# ]
set heading best-direction+ {; t) j7 y# i8 [# i
end6 b- Y; |5 X0 H. C* |
' H* w, ]+ x8 s' X. R% y# J9 W; k4 a0 _4 ^5 s: J9 l
to-report grain-ahead
: d* ~% Q4 ^3 ?6 J# Q" Z+ ] let total 0
1 E. d/ V- I( [7 P& i let how-far 15 i( d7 R8 c* g. ~* Q
repeat vision
T0 Y8 ]' J) t _- h [ set total total + [grain-here] of patch-ahead how-far
% l3 Q$ u) r( g% H: O set how-far how-far + 1 ]* V; Z5 V$ n2 _1 [) u; `0 G& T5 A
report total) [, E' n, A9 U7 b& [( x$ E" M
end/ M. r% t2 I* f% l
9 I; A) B; r: a3 `to grow-grain . n) \. W8 z0 V; Q3 D' y" D
if (grain-here < max-grain-here)* ]4 S6 Y5 F2 G7 q/ Q
[ set grain-here grain-here + num-grain-grown
0 C q+ L" E& p* O3 h if (grain-here > max-grain-here) - |5 ]6 J$ Y" g) a) ~" d! w
[ set grain-here max-grain-here ]
1 j' }* V: k5 ?* n' B# k recolor-patch ]3 |& O" f7 |+ ~( V$ y
end. V2 T W1 Y& p1 m4 ^: `7 r
to harvest
$ s6 I- K0 T& @ ask turtles G8 ]5 O: P/ X
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]8 l4 b7 P' }' |: ^9 L
ask turtles1 q( a& B3 |7 `7 u& {2 U) J
[ set grain-here 0" U7 s4 N7 S$ h0 R- a3 w O7 B
recolor-patch ]
# b9 `6 d/ M' f$ |
# T8 ^7 P# L& Oend: d3 P5 J5 [! ^
4 w' q& w6 h9 t' G; D; \: h$ u) oto move-eat-age-die / p2 R; y& J* p; d& R
fd 1
4 K, G8 \& q/ P3 B' M D9 W' O) x& S+ c set wealth (wealth - metabolism)3 D1 C6 k6 q7 \5 T
set age (age + 1)
& Y6 y5 l& h7 f! }2 _ if (age >= life-expectancy)% C2 r8 r) t, ~' }
[ set-initial-turtle-vars-age ] X, D$ Y* c2 L) F+ `$ s
if (wealth < 0)
/ _3 b/ u) B" d [ set-initial-turtle-vars-wealth ]
0 Z+ v0 H+ v1 g
; M# R5 x% [9 O) ~5 X3 Nend
% Y$ s3 _4 \0 I& O7 g) T1 c
) Y9 k7 m) v6 \5 W& Z7 _% S. L1 |
to setup-plots
9 z- P- M' B C5 v set-current-plot "Class Plot"
b$ F( t' p# C' M) a' E0 E5 K set-plot-y-range 0 num-people
) @( `% s, V4 [- T( A. J! I7 _. k set-current-plot "Class Histogram"3 ]4 G! Y5 ~' L$ {9 E2 t
set-plot-y-range 0 num-people% G7 v/ m5 [/ v$ k8 i) p3 v, K
end
6 N3 B4 g% u `5 `5 W- T; W: g; g7 ?; V3 u
to update-plots2 M9 ^* N7 V5 ^0 k4 f: Z( r
update-class-plot
" G, E; I9 u4 K: ?3 R! M/ q S+ z update-class-histogram e8 P- G4 p A
update-lorenz-and-gini-plots
1 ?4 Y7 [8 E7 S$ O4 A+ Oend
# l7 S# @8 R5 b7 b- T3 ]( G
# D9 b( b+ c# U1 Vto update-class-plot7 A' j4 x. g; A* o d4 [, ^- Y9 ~
set-current-plot "Class Plot"
y5 {2 n( R5 N2 {8 R+ a) W set-current-plot-pen "low"
4 B( k& X/ t4 k% ~6 E( J- p plot count turtles with [color = red]$ t' `4 a8 |8 A. f4 L7 }" L
set-current-plot-pen "mid"
# F7 l0 ]7 W$ n& a: b% u* }9 k1 r plot count turtles with [color = yellow]. n6 @" ]7 M3 ]
set-current-plot-pen "up"
$ U7 ^# \- h6 S plot count turtles with [color = green]3 A6 @; D; ?0 K; Q: `
end5 m! p' G& h1 k x/ t5 h: i& V
5 s" N, B5 Q- F: |+ T! n. Q
to update-class-histogram: e# N' F+ P8 m. X
set-current-plot "Class Histogram"
' q3 t1 D+ s* b plot-pen-reset
/ U" K Z: V2 Y8 ]( o9 J set-plot-pen-color red
5 w3 s: b6 w {- ? plot count turtles with [color = red]
7 D0 T3 u8 D. F; @1 P; g8 F1 d% [ set-plot-pen-color yellow
2 E L) K' }- e" b0 J! \ plot count turtles with [color = yellow]; [8 L! [1 z% s8 s9 r
set-plot-pen-color green
$ |6 X" f& ]6 I H; m a plot count turtles with [color = green]3 M* t9 P t: }1 H" X
end
$ ?9 T/ r! \, u* q& e; S2 Sto update-lorenz-and-gini-plots
- }6 e8 \/ d. k, E5 C set-current-plot "Lorenz Curve"
5 F7 G6 w. [1 Q! M& l3 c0 A' q clear-plot" h5 a l9 D" C# f- |
( F7 T6 q3 Y( \, G, K* x. R set-current-plot-pen "equal"
9 F6 `! b8 R. d' I& o2 V+ q plot 0% z) H( S0 {9 Q! M5 g
plot 100
4 L: n/ c+ B1 Z" Y: ?' s, d
$ ~. d I( j' }# n set-current-plot-pen "lorenz"
" V2 z7 ?4 s9 @. c$ P1 U& _. f! L set-plot-pen-interval 100 / num-people. E6 i" X9 L5 {
plot 0
) P5 G& k4 D2 e6 w6 o' Y ^* \! O$ j8 A7 T" G5 J: v M: T
let sorted-wealths sort [wealth] of turtles' M, E: |4 @" N7 t# n7 K9 N$ K
let total-wealth sum sorted-wealths
; P6 s8 r. z l6 }6 l2 S& }+ G let wealth-sum-so-far 0# G7 b8 m# j' G5 d
let index 0
2 N5 B' j! b: l let gini-index-reserve 0
7 d. b/ @' p/ ]
$ j! \; S" V$ n0 ?+ | repeat num-people [/ N6 e, t" F! O% j' H3 y* ]
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)) D7 e5 [ I, C- Z. [, |3 v& m; _* J2 T
plot (wealth-sum-so-far / total-wealth) * 100
7 O# Y3 p$ X# a- A set index (index + 1)
8 m4 |# m) m8 a+ [6 u set gini-index-reserve! e6 |" W5 Z3 n& \
gini-index-reserve +8 ^' F5 R& T& l5 @* s
(index / num-people) -% I) X# p7 F+ M& M2 u5 X( k
(wealth-sum-so-far / total-wealth)3 u7 a; g b+ W5 D: J0 K+ X' c) l
]
7 [0 j- I/ r, `
( s- v. b6 M: |1 v) F set-current-plot "Gini-Index v. Time"+ ?( e; G1 R/ R. j
plot (gini-index-reserve / num-people) / area-of-equality-triangle
! ` h7 w& i, E, _( Hend
4 K j/ Z( {; }; ^4 {+ T# \8 v% Uto-report area-of-equality-triangle" F# t- m8 d+ i4 D$ Y K6 ~. L( [
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* w3 O; e* ]0 _ ^end |