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0 v! c6 {; h' u2 ~5 ?% B+ T w" i
globals! y! |# i) ~: t
[9 [; ~' k7 W! u$ g5 H8 z
max-grain
" P* B( J& a" [# K1 E. w" j
3 W2 \* |: ^ D- G6 y3 c4 ]]
4 h- L- P' `* L9 e% t- Y i# G6 a: J' f
patches-own( _/ P7 _* T' N, |" [- c, L7 A% m
[
5 B4 q* V. D& U7 b! p grain-here
d) Q9 X6 u* L max-grain-here
) H9 C0 ^8 R7 @* }]- J' ?% Z3 G& z
# z, d3 F2 Z4 }turtles-own
8 x6 E& W2 }/ y2 @1 _% C8 {6 o9 ?[/ ~# k% E# b* P% W. ^1 n
age
8 P2 B5 t1 P4 w1 x wealth 8 R) ]" c5 x; p- f: [) l) R. ] |
life-expectancy
0 a: g" _' s$ q6 \3 r6 q metabolism
) }4 Y7 B5 S; ^0 m vision
1 v9 O; M% b) q6 ?7 Q inherited
+ C& u! N6 K# o/ k]
9 t X) S" Y! O4 d" f
7 l! F- O1 y2 r+ }) Z0 H# c9 Q/ l" I, P2 f7 G2 t3 D8 _8 p/ m! |
to setup/ W# \$ B: g& K
ca, f1 p: Q7 }$ q, M
set max-grain 50
% ~# {4 c; C+ T$ N setup-patches" w% u/ \: X5 S$ \
setup-turtles' o% x( V5 R. t7 @1 Y
setup-plots2 K/ M, i2 c0 C3 C
update-plots
- L3 @: X! g9 r6 H2 X5 w/ Hend
: k3 \7 _# R4 a+ v8 ?to setup-patches
+ F- ~/ i( L @! Z. J4 ~& S6 P ask patches
" [! E4 F. S. N( l& C [ set max-grain-here 09 y& ?( I: V( F% a
if (random-float 100.0) <= percent-best-land5 a8 b* [% H* `' C4 V
[ set max-grain-here max-grain* c! {- U# q( c& Y
set grain-here max-grain-here ] ]
* A! H' U. N p$ W; O1 [; A. W repeat 5
7 m) B n; ~# a* W [ ask patches with [max-grain-here != 0]
1 Z7 P1 d# K# U8 A! N+ G [ set grain-here max-grain-here ]1 U9 d: G/ ]- Q3 ^$ ?( ^
diffuse grain-here 0.5 ]
7 K1 d/ l1 t+ U: I0 o repeat 10
* p+ X5 {3 N+ B9 H, y [ diffuse grain-here 0.5]
0 ~! \8 s$ N& ?- l; `% J/ v ask patches5 Z) K5 J+ J: v/ o$ l* K; Z/ {, I
[ set grain-here floor grain-here
- x+ c# y: X- ?& ] set max-grain-here grain-here ; {3 N" o% ]) A+ @9 o
recolor-patch ]
$ B8 F! a2 l, G9 E8 ?# J% Wend
( ~) \ o8 J/ J3 D7 N nto recolor-patch
7 j# j2 x5 c* M+ S3 L set pcolor scale-color sky grain-here 0 max-grain
. n' R. p) M* f/ K& mend
7 y- T" Y0 M6 u5 V3 m* sto setup-turtles
: r0 }7 e% ]7 ? set-default-shape turtles "person"0 d$ W: `+ Z' ]9 v
crt num-people
- S# x9 ~% R: E( j8 I5 A [ move-to one-of patches ' H0 K; I j& W, ~5 {$ Q9 E6 I+ J
set size 1.5
V$ }, V# e& E5 {9 A set-initial-turtle-vars-age% ^* Y: p1 y% R3 T/ ?- u% d# U8 V% l
set-initial-turtle-vars-wealth
9 R( R" m. n% K* b5 M set age random life-expectancy ]: L: [: Z5 u! n7 z) {
recolor-turtles3 e# ]! a8 J; J) s2 l9 V2 P
end
# m0 }3 O4 I: B) a7 S6 X0 b$ e# p( O0 ~ h
to set-initial-turtle-vars-age
# W4 n, v( x3 j let max-wealth max [wealth] of turtles
+ p' T0 I' W" s4 z, R8 d% W+ m ! W- O" K, [8 C
ifelse (wealth <= max-wealth / 3)
4 z1 R' p% _8 { [ set color red
! W1 l' W5 p+ E7 o j: h# V2 Y. B1 t set age 0
. R d$ `3 h5 N' n9 G( q face one-of neighbors4
2 R- }% E) V4 m! V2 q" n set life-expectancy life-expectancy-min +( q( ?5 N7 R1 o5 B2 v8 @8 j) _2 \) m
random life-expectancy-max & ?- I: M$ I, b% A+ \7 K2 _
set metabolism random 1 + metabolism-low: S8 n1 R! m$ u4 t4 O
set wealth metabolism + random 30
9 o1 f- P5 u1 N$ Z set vision 1 + random max-vision
* A( |1 q2 A6 F7 c/ ] set wealth wealth + Wealth-inherited-low ]6 R/ _' Z1 f% @. O
[ ifelse (wealth <= (max-wealth * 2 / 3))3 a% F! {' s N6 y3 r1 m# o: N2 t; ]
[ set color yellow 2 D6 v) T# A9 J S6 E& }
set age 0+ S) X1 f( f- Z5 [$ h
face one-of neighbors4 ! V- V& p, m) V! Y/ }
set life-expectancy life-expectancy-min +
: c' |3 H2 {( l3 l' Z( A random life-expectancy-max + 1
- G% F4 o) B+ L, b# ~. l2 y set metabolism 1 + random metabolism-mid: Z8 t, {' z4 {9 ^7 ^5 `
set wealth metabolism + random 30, t5 a& e5 s4 P3 v- {
set vision 3 + random max-vision
: z$ K9 d# y, g1 D) p, z' P: I% c4 v set wealth wealth + Wealth-inherited-mid]
& n" L' O$ y6 `2 b( T1 y( G, @ [ set color green + v3 ?1 _& R2 I- W! d' Y
set age 02 z0 q6 C' F6 P
face one-of neighbors4 & S& m" g. Q; z; p
set life-expectancy life-expectancy-min +
0 u- h# R: x7 U6 J/ s$ F3 h random life-expectancy-max + 2
0 t. j3 O I: ~1 e0 O3 ~* I( j set metabolism 2 + random metabolism-up$ i" S( e% M+ q0 B
set wealth metabolism + random 30
g6 g& m2 u8 ~ e( `3 P/ t set vision 3 + random max-vision
# G4 o/ b) Q8 q! _+ t: ?! A set wealth wealth + Wealth-inherited-up ] ]
* G* z% a' ^4 g! O4 p
# B- ?3 g1 V. B! f1 s& cend
/ D- Y# z3 W& M# ?4 ? l! x- a. ^to set-initial-turtle-vars-wealth
, H+ v. |' u" Y1 N e% a let max-wealth max [wealth] of turtles
. r: N' y" d7 K set age 0
) m" I5 x/ f4 _2 {' W, z) d. E$ ? face one-of neighbors4 1 W- p$ o5 V: N( u, X/ b
set life-expectancy life-expectancy-min +
" T/ e+ v3 b7 Z; b random life-expectancy-max
, T. a9 ]1 z7 x z- j$ B: ?( q& a* G. b set metabolism 1 + random metabolism-up( z. R/ }+ E U; j
set wealth metabolism + random 30
5 j( p! S& t7 a% y0 O- d set vision 1 + random max-vision ! ]- ]% L# k4 Y
end
+ a/ R/ r- ]4 R( S; D* \9 qto redistribution; R3 g) o8 a& X+ S Y3 ~9 }
let max-wealth max [wealth] of turtles
2 Z" a; x4 S% |: a9 b. b" _9 Elet min-wealth min [wealth] of turtles
3 _4 p' c' B& p! ?. a+ f Tif (wealth <= max-wealth / 3)1 w' b$ J9 E/ Y- c% E1 u' ?5 i
[set wealth wealth + Low-income-protection ]8 B% T0 o" c7 ~4 ?/ S+ D6 K
end k, F7 S8 i8 u% c4 c$ X
2 a T5 T+ f; b( Ato recolor-turtles
9 V6 t9 `- R, U) g' H let max-wealth max [wealth] of turtles: L. o9 |/ i h- j
ask turtles) t3 j' B! @. _* z1 [
[ ifelse (wealth <= max-wealth / 3)
* b4 K+ d; n& M( _4 m R2 a [ set color red ]
$ [( A2 l4 T9 B: c# K1 V- ] [ ifelse (wealth <= (max-wealth * 2 / 3))2 d$ c; `7 y7 b% n0 Z2 p, |
[ set color yellow ]
+ F8 L* R0 g, q# s# M* D [ set color green ] ] ]. P8 X5 N1 \2 Q
ask turtles [ifelse show-wealth?7 D! E9 o; U4 E- R
[ set label wealth ]) Z+ _6 B0 k. L: \# |- R% v( O
[ set label "" ]]/ Y! F! A- w% q3 ~# y2 y4 M
end- x9 b7 P2 a* q: d! P- h9 |: H5 p
: X% }. W1 e; I s# U8 ~& k. \
to go
# B- H; r! U; E: }' R0 M/ m* B9 S3 u ask turtles
" q# H9 [' ]9 }/ b, R# ` [ turn-towards-grain ] 9 Z- U) n4 H X+ B T
harvest
3 R' I/ l; b& l ask turtles
7 @( K. c5 L/ H' `6 m. u [ move-eat-age-die ]1 H5 [* _9 K; y8 E8 r( t
recolor-turtles! M+ l' m6 e3 t |
if ticks mod grain-growth-interval = 0
3 S, o) W3 P& ^0 R" ^2 X5 l! j [ ask patches [ grow-grain ] ]
- V; C4 g7 w1 d9 u% X8 t+ A% g
( H! r) l- r$ B if ticks mod 11 = 0
2 M9 P2 T, r$ D8 d. L/ U [ask turtles
- p- k2 N" J, m8 i& s [ redistribution ]]: a" R- o! d; f% }
if ticks mod 5 = 0
: N% [/ l) q0 r: t& o7 H- T [ask turtles
_! Y) f2 j/ k0 n' E% v8 I [ visions ]]5 o4 e2 a) T" z3 t
tick {/ P( z; n' E
update-plots
& N8 B/ [. }, W7 d/ Z3 V: _end" n4 K$ Y5 Z" T# k) k r6 \# g
to visions% r: h! O& ] S" U3 S
set vision vision + 1
% t( Q" V) S/ y& }: o2 q7 gend) ]+ Q1 q0 N2 y3 q8 q( A0 R2 b. P
1 |4 c# h& ]# _, _7 X; z5 X/ K
0 F" V. S2 g4 A
# r u+ H- U" {/ A: |to turn-towards-grain # {5 p" Z/ h' R& T* ~- N6 ~
set heading 0, q* o# p* ~9 Y- o! R6 J
let best-direction 0
" t: [6 A/ d8 C+ [- `9 ~ let best-amount grain-ahead/ g( ~9 C# B2 `: ^! X" t
set heading 908 D* l# O4 U _
if (grain-ahead > best-amount)! n3 E# A, v3 m, n2 _
[ set best-direction 90
2 X$ b* n5 |- V6 ]7 d* U set best-amount grain-ahead ]9 M- W, H! j7 l0 O/ I: Q
set heading 180. P- j4 \' B) Z0 }( H
if (grain-ahead > best-amount)6 U, x6 ^6 ]" z( |( J4 ]+ o. }
[ set best-direction 180* v7 @ r$ N1 R
set best-amount grain-ahead ]/ G. M9 @+ S. O% Z6 _
set heading 270
, L( P; d: f3 H# z" P: v if (grain-ahead > best-amount)) B8 x1 q a: a: i. g4 q
[ set best-direction 2705 e8 q, ^! d+ }- R
set best-amount grain-ahead ]0 K: |" n' [% P5 N: X+ U3 @4 `
set heading best-direction
1 S# |' D( W# N J/ c3 e3 yend3 h; T0 z; g8 B: p% U
, r) H9 Q. y [3 U' w9 s5 n4 p. M( _5 k
to-report grain-ahead : \: V4 Y+ m8 @2 V2 J
let total 0$ D0 u1 |/ j/ Q+ m4 \
let how-far 1. w3 r! u9 W& S; |6 O
repeat vision
8 t" ?6 @6 g7 c" A4 n [ set total total + [grain-here] of patch-ahead how-far
0 W0 K: L/ F- k% }+ R$ w5 O8 N set how-far how-far + 1 ]8 [) f$ ]! F' B% K( j
report total
D- i* K ?& r0 kend
. _' R; \0 f. L9 }) y( u# Y
4 C" b n1 o0 H; ?% \4 x) s3 F; ?to grow-grain ) w& @ Q+ o! r3 ]
if (grain-here < max-grain-here): Z8 K% e" }# N1 S( f8 ]
[ set grain-here grain-here + num-grain-grown
L: ]* G1 h6 [: `( p, g, ? if (grain-here > max-grain-here)
8 P' y4 g8 _7 r" t [ set grain-here max-grain-here ]7 y b4 p: _( p' ]3 D
recolor-patch ]
4 r' v: b/ y/ i+ F5 z1 w+ uend6 C% j( _ W2 c: H9 B1 }
to harvest
# F+ j6 I0 o5 F1 d7 f3 [( t5 W& \ ask turtles
& o3 k8 L5 e3 f& z3 p+ d [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]! d9 j# {& \* d& D$ X
ask turtles0 ~: U3 ^' _, E M0 j1 _) U7 ~
[ set grain-here 09 {; H; ~/ t6 X; w% q
recolor-patch ]
3 |* C! p) l" l
' ^) e4 H7 g. I6 [end& N" Z6 Q7 {* \
: {, Q( o3 w; O) a! lto move-eat-age-die
! p1 c" `* c% |8 T8 ~. d- S fd 1
. F/ F& o1 [0 i5 O) m$ [9 [+ Y set wealth (wealth - metabolism)
/ {+ [0 |: L+ P L/ S/ ~ set age (age + 1)
' `$ z8 M( }; I4 V if (age >= life-expectancy)' x1 `( w' [& ~9 @- J3 O( J
[ set-initial-turtle-vars-age ]
8 _2 f) C2 [- }0 E$ J, J if (wealth < 0)
& l. j% r7 n1 \& U+ ~) W9 h [ set-initial-turtle-vars-wealth ]
, d/ [1 l q# y9 C8 e$ K1 k
& V# ~7 ?. `/ w' U: x1 v7 V( s- Cend* Z) p. K8 R d: M
* H1 B- A, t( O l/ [
; K2 i; q$ e ]- |! Z7 e
to setup-plots7 q0 e# ]' A0 B3 u0 r5 h
set-current-plot "Class Plot"
0 B6 w. E& R) C set-plot-y-range 0 num-people0 O& y5 [4 S# Q* K
set-current-plot "Class Histogram". ?! ~' G2 _9 Z1 r
set-plot-y-range 0 num-people. j& r) K# z2 J$ v! ?) A% E
end" L/ m+ L) L# k8 g+ Q8 b/ \
1 p; j4 Y2 e! G) Z3 u/ Cto update-plots
+ e W) s% O1 }3 Q$ g) e update-class-plot
1 B1 u* f; I7 a. p# G7 N5 ] update-class-histogram
: b1 B7 e% M0 _. Y! r3 z# R. N update-lorenz-and-gini-plots
: B/ b, I9 g+ ^: mend5 }) ~' g. m" K5 ^
" a4 t# j5 t6 p" H3 L3 l/ |
to update-class-plot/ S: z& E7 j% M6 Q2 u! n
set-current-plot "Class Plot"9 ~0 g, r) `( P3 P# A
set-current-plot-pen "low"
; u( B) d6 p: s. f! S- S* ]9 |' {) } plot count turtles with [color = red]
& a; n4 I* u M+ `1 y% U set-current-plot-pen "mid"/ G% y2 O5 z$ U: P( [( {: I& r
plot count turtles with [color = yellow]
! }- S" a4 S7 I& c. ]4 b set-current-plot-pen "up"
: x% A! V9 L g plot count turtles with [color = green]
' h/ p$ V+ s0 v2 z/ f% j4 @end
' Q C2 ^: T/ K1 C6 O: g- i6 t3 V8 T, Q+ g
to update-class-histogram
9 K w6 }/ I0 M3 p$ I7 f2 ?/ B set-current-plot "Class Histogram") f' n) g+ Q8 L' _2 n d# j. b
plot-pen-reset
9 f& o, r* x& E3 d2 | set-plot-pen-color red. O% ^/ N. r1 j+ v* u3 j" t
plot count turtles with [color = red]% {& l. b/ t/ x# Q
set-plot-pen-color yellow
p8 c4 y5 D. U; G) r( P- F plot count turtles with [color = yellow]
" q( `# H0 M; W, N6 D- I set-plot-pen-color green
: d$ L- V% ^' I; Y+ g plot count turtles with [color = green]9 S. |. H$ j: w" D
end
! `( Z9 \- n8 U% zto update-lorenz-and-gini-plots
& k0 G- Q ^: X; `) U& E set-current-plot "Lorenz Curve"# Y: m% L! ?+ G3 _% m. P
clear-plot
5 }/ {: g& @( `& q/ ?3 L1 ^0 V/ H% x! [; K% Z, E9 N
set-current-plot-pen "equal"
) [8 }7 M/ }: k: c# X# A$ D, Z3 A0 t plot 0& }4 O/ ^ r; C( Q3 C9 R0 O
plot 1007 B+ D' Q5 r! u1 c( l
% W0 a) ?3 Y0 h- X
set-current-plot-pen "lorenz"
' }( X4 ^7 ^9 F6 ` T set-plot-pen-interval 100 / num-people5 o$ g+ v# ]# y, s
plot 0( L/ B1 h9 E7 N* e3 ~) u( A$ Q
. |) C* i6 \& D4 A" `
let sorted-wealths sort [wealth] of turtles
7 p f! k9 L; N9 s let total-wealth sum sorted-wealths9 @8 o' O6 p" M. p6 ]* C7 P v
let wealth-sum-so-far 0
6 c$ e% z3 X$ {. B let index 0
h4 `+ d1 w, t% Y( l8 }: ` let gini-index-reserve 0
7 C/ L- R% ^* n/ j8 a* W
) i1 k) X# e( W& G0 @4 X" D repeat num-people [3 f, B: ^5 f4 t( Q
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)9 W' E4 Y/ f" U
plot (wealth-sum-so-far / total-wealth) * 100
' `) P, A7 }3 B3 J6 k6 e set index (index + 1)
9 D; @: w/ d! ]1 s1 B set gini-index-reserve
, \, H8 o, F! q* q4 Q gini-index-reserve +/ o! L$ n9 z/ }1 W
(index / num-people) -
' M3 d E- f& N( x5 R5 C (wealth-sum-so-far / total-wealth)! I# T/ n- [) ^9 V3 C5 I
]
: r. v% m5 z$ z) j4 b5 d# p% P; y, r& T
set-current-plot "Gini-Index v. Time"5 `6 ?, K0 n: u. k2 ]
plot (gini-index-reserve / num-people) / area-of-equality-triangle
; r0 z H' D& o2 xend
. f( z7 W( B5 B. k, x2 Hto-report area-of-equality-triangle
7 z$ @. f) d7 I" n6 x8 z0 y report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
+ H: |7 y) e. g- i$ oend |