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
' j0 q: l1 m X# w9 v( Qglobals6 Q0 H. C L* T
[
2 I; d, g# y0 {: g; |8 M+ R6 [ max-grain x( [' ` a6 T) q) C7 W0 D$ x+ D
% u0 T: Q" y6 C% H1 Q1 @5 H]2 G! @& ?1 B+ t# P# Y
8 a: L# p$ R+ Vpatches-own
; G3 P# ?, [: A' l, @4 d% t. v" E[
. G) h/ T1 m" G3 _: I0 A grain-here / R _; D* O. \5 d
max-grain-here
: J$ O. s! A4 f* L8 P/ O+ }]' `: c! _& W3 u$ b! a9 Z
2 W) `4 l. T G* A5 }5 R
turtles-own0 o- J3 K4 X( E% Q. u- H3 _
[
) s2 M6 u$ t: s. O2 i8 ? age 8 a: b( Q1 R5 @( K7 O
wealth
4 R% _. W. K, D" ]$ m% v: E life-expectancy . l) |" T- w% u/ ^& v# u
metabolism
~9 T; D, D# K3 [( P0 r* M vision
) b* g( T1 L% Z, h$ Q( o ~. g inherited
) ^) c4 j7 ?+ m% F+ ^0 ]" p; G]
# x; d+ ]$ x$ X3 W* f: f* W
2 c* R+ E$ c6 Q
$ C- P& h0 l/ x$ [to setup9 o, a% S! o$ Z. V3 @
ca
2 m$ C! k# d/ m/ c: o+ p set max-grain 503 |: A* T7 ^& w# {5 x
setup-patches
7 i9 G& M9 ^' M! [6 F% c2 l9 _% d8 {& p setup-turtles
. f @0 i0 ]; b5 k, B# f6 L setup-plots
3 x7 G; _+ y9 G4 G- @ update-plots2 m& `% ?3 |+ I
end
( k' _# I2 V1 w" Q6 w- Ato setup-patches: g' j& W$ d( O% r5 z* H
ask patches
4 |4 }7 U$ T9 G' {6 b) G0 L! R3 K [ set max-grain-here 0
0 f/ g- s- v; i: A if (random-float 100.0) <= percent-best-land) l/ l3 l$ m. V& K0 X L
[ set max-grain-here max-grain0 x+ y( @. c _% `! F7 h, s8 j/ J
set grain-here max-grain-here ] ]2 N/ ?6 C1 l: U! A u
repeat 5
1 T& H) i8 A- h8 o [ ask patches with [max-grain-here != 0]; P, N( g3 ~3 E+ r P2 i/ T
[ set grain-here max-grain-here ]8 F! |: d8 {9 o, P: O7 s) y+ `) u
diffuse grain-here 0.5 ]
7 x! F8 K, z. o: h, D3 ~9 { repeat 106 l9 y" {1 o6 Z( n% H* ~- l6 Q6 o
[ diffuse grain-here 0.5]
- Q' j) G9 q- |1 y ask patches
% `. v5 K8 K/ m9 i/ ?& u, @+ R [ set grain-here floor grain-here
9 L* N+ D) O! x( o0 w set max-grain-here grain-here 9 ^* n0 j5 _/ o) A+ e7 a/ C; p
recolor-patch ]: p' j3 v1 @1 [/ }$ c. A
end" v2 M9 f% E* ]9 A/ x
to recolor-patch 4 r& e' A) B6 I4 p; h
set pcolor scale-color sky grain-here 0 max-grain S+ [/ \, p' V( H4 b$ v; @
end
2 M3 b p* O" {9 e3 B5 W/ bto setup-turtles4 s H& T, q, w' {+ s4 ]
set-default-shape turtles "person"5 s4 P! D- V3 O3 C
crt num-people
$ F: w* N: S& K" r [ move-to one-of patches : v) g1 |& b: o& q/ R! @
set size 1.5
' I# K* @! a- C- K* a set-initial-turtle-vars-age
% q7 Y5 J, Y7 R* e set-initial-turtle-vars-wealth" C ?9 _' T+ a0 s# F( a5 V/ S
set age random life-expectancy ]
$ k" V0 H7 Q# M6 c8 K6 ]8 k, V recolor-turtles
! p3 e) ~$ l( u1 W# n8 t" Zend9 _3 R' x/ ^# P+ c j# T6 S5 Z
j0 w& u+ J% f2 lto set-initial-turtle-vars-age
% s. ~. {2 x% v0 \ let max-wealth max [wealth] of turtles' x2 u5 \6 m0 h* M; s. l n( {. b7 f' W4 y
5 A2 R# S/ f5 M/ p% f- R& G. b ifelse (wealth <= max-wealth / 3)
0 @4 F. w. H' F# v w [ set color red
3 S: |. X J# B set age 0
" q3 W; X5 C7 E1 \ face one-of neighbors4
l' s3 v3 F# B( l& h' ?7 ? set life-expectancy life-expectancy-min +: P4 ]; W( @* |! E* X; Z
random life-expectancy-max 7 ]. n7 ^; w) [
set metabolism random 1 + metabolism-low
7 L6 M7 G& a; b) R set wealth metabolism + random 30
6 O2 e2 [4 m, S8 `) e. x set vision 1 + random max-vision
! R" f& X! U0 V8 u0 q set wealth wealth + Wealth-inherited-low ]
6 E5 h0 j5 \/ i4 F [ ifelse (wealth <= (max-wealth * 2 / 3))" ^( _# z* [0 [+ O0 l
[ set color yellow
( n/ Q7 j/ H- D4 q& E& v set age 03 C- S1 f6 @! i8 V8 ]! W
face one-of neighbors4 5 U Z8 f/ m/ F9 f
set life-expectancy life-expectancy-min +
4 \( E' X8 p: I2 P random life-expectancy-max + 1+ `: d0 p6 ?7 {+ G/ l2 y
set metabolism 1 + random metabolism-mid/ p, }" o9 m' [# Y6 W
set wealth metabolism + random 30
& z& U5 r+ v r$ @- ~, Y7 J+ P set vision 3 + random max-vision4 m8 `, w3 N" H/ d
set wealth wealth + Wealth-inherited-mid]
. J; n2 m6 j9 ?- F8 o3 D$ m" w- P9 f [ set color green : h8 V+ b" l5 z( c/ s7 W
set age 0
. ^7 O' S9 C8 X2 w) @ face one-of neighbors4 ) z5 r! H4 E4 i+ E# g2 g B
set life-expectancy life-expectancy-min +
8 l' B, w5 I9 H$ ]6 E, g random life-expectancy-max + 2
/ O2 K+ Z: s2 `( H- I J1 r set metabolism 2 + random metabolism-up
9 j! K7 [- j; u; B5 F set wealth metabolism + random 30
. m8 Y4 W6 ~3 ~0 `9 d* H7 O7 } set vision 3 + random max-vision
! |' e0 k/ M% S& v& M: j2 k) N+ K set wealth wealth + Wealth-inherited-up ] ]
4 [ U! Y7 @: N& |
& V7 J2 V1 ?" ]end( p6 p1 t) o, [: ~8 u6 o" A1 P
to set-initial-turtle-vars-wealth
1 k& ] {* M8 ]4 G' L let max-wealth max [wealth] of turtles$ c! z1 [7 C$ k- R' W. Z
set age 04 [3 o+ P: w$ I! l( d9 j+ d+ @! e2 O
face one-of neighbors4 : k0 \, r2 G1 S* g0 P
set life-expectancy life-expectancy-min +) L! k% K; [, A+ ?# L$ g; P
random life-expectancy-max 8 i5 T2 {; m G3 h4 P
set metabolism 1 + random metabolism-up: T2 X7 N1 G' H9 H4 x0 F/ }+ a X5 b
set wealth metabolism + random 30
O# X6 R' ^5 c4 T8 H$ p set vision 1 + random max-vision
6 w* `+ x6 z/ w$ @8 G4 qend' ^# U7 c3 N7 a( e9 G: e
to redistribution
& p* S8 \ Z/ t/ I1 p" Zlet max-wealth max [wealth] of turtles
' T- H" u- w* B1 ~let min-wealth min [wealth] of turtles
. t+ h* K* |- K+ R& n& z! aif (wealth <= max-wealth / 3)
7 s0 u( T6 e% G [set wealth wealth + Low-income-protection ]
1 l% z+ y+ A. G+ c: u/ Lend5 v7 `8 i3 c6 E: d* M
8 a6 U4 `4 Z1 }0 J* L, ?6 Fto recolor-turtles' |. t0 I! z m
let max-wealth max [wealth] of turtles
% a; X7 L5 l3 n- l ask turtles
* d3 S& k- c* y' `9 p. L3 K [ ifelse (wealth <= max-wealth / 3)& ~/ I- C9 i' K8 i+ f2 s9 S
[ set color red ]
z8 d- ~1 Z0 f1 g% L, E: m [ ifelse (wealth <= (max-wealth * 2 / 3))
: T& m$ x# g7 L9 [ T7 | [ set color yellow ]
: c, e' [# l& S* B6 u/ m [ set color green ] ] ]
- J v A& [+ F* Y ask turtles [ifelse show-wealth?
7 D, i( Q8 m; c6 _ t8 ? [ set label wealth ]
" o* U' z) C+ ?7 F! [ [ set label "" ]]8 c1 X, N" X' Z, q& U/ k
end4 ^% X* E4 E( m) C0 ]
. u& g3 z7 u$ X9 T
to go
# V- }7 O. q8 | ask turtles
% [& v v- M% {2 r1 L2 v [ turn-towards-grain ] + J" r# Y1 G0 P5 p
harvest; h, S5 A) y# _$ g" c
ask turtles+ }- |" R# A% \, p: L
[ move-eat-age-die ]) ~$ U4 {" v% b( ?5 }7 Z/ ?
recolor-turtles
5 `& O- x9 j [0 q: J0 P( f if ticks mod grain-growth-interval = 04 t1 [9 g, ?7 C3 F. |: J( q
[ ask patches [ grow-grain ] ]
0 @& c* X/ R) k# Z
; y5 U* h6 L( A. w if ticks mod 11 = 0+ ]& [- @" Q. @$ w8 `! r) ?
[ask turtles7 E% H$ f' g: l
[ redistribution ]]
5 r, d- A3 d! m if ticks mod 5 = 0% B, o# i: `# B; H
[ask turtles8 D) [& o( w, g
[ visions ]]
8 Z0 `0 q* [- f tick
8 N' {6 k4 z7 i update-plots
2 _" h) @2 V+ \end
" f: ~( w$ s0 E" jto visions; Y. K. g5 G; \! L: o4 r# z/ a- q
set vision vision + 1
: { ~. f* v' Hend
8 m% K5 V' v; b; @5 X, K+ z0 H6 M
- f% K& W* j$ Q1 t# l- V" T L( ~: X4 f) F: @
1 s' {: w& O9 |$ d
to turn-towards-grain ; Y! |) c% ^0 f) O
set heading 0- L1 O+ O) I& s( N/ g( k
let best-direction 04 w+ Q( } q% c
let best-amount grain-ahead: ~1 }+ H/ s1 ^2 ]. f9 N. m
set heading 90
4 z/ ^" g3 M. M6 _/ s9 } if (grain-ahead > best-amount)$ l9 j& N G2 W1 u8 H. Z
[ set best-direction 90/ i1 i \. m% W, K
set best-amount grain-ahead ]+ P, n( ?' C! F, V, y3 o
set heading 180* f( }5 A( U- G* K
if (grain-ahead > best-amount)
2 b4 b y) ~( d/ [1 d% \ [ set best-direction 180
+ M7 ~9 P6 d1 g" Y) R set best-amount grain-ahead ]
& Y6 o& c$ v& z' A: p' z set heading 270! a8 {- b. H( |+ k
if (grain-ahead > best-amount)6 k# u) w" o5 M; [4 U
[ set best-direction 270. K$ |! k: C& @0 U' B9 t
set best-amount grain-ahead ]- w; ]5 a4 u% o$ P
set heading best-direction
/ S' S4 ]9 [$ W& \) g/ _end, X* L" b% q4 l, i8 s( D
, @% l; [+ P) O5 k$ c8 ?5 Z1 R. o9 g0 T) g2 h1 U8 c
to-report grain-ahead
6 L. N5 h# C8 i+ B, H9 [ let total 0
' N5 k& w5 Y" f! g4 o$ f9 }# K let how-far 1
* l% { ~% Z* N8 H4 W' k2 J$ c repeat vision0 I$ q* H7 F# c/ g
[ set total total + [grain-here] of patch-ahead how-far! s5 T- \& h, m! {, [3 }* U0 w
set how-far how-far + 1 ]3 C5 n+ \0 ]# ]4 s
report total
# g2 T4 ?7 ?- q, [, J' u+ f- \ |( Hend
- B X: n2 `" J
4 N: o7 v, M* U/ q+ s7 U4 Nto grow-grain
- v6 b& r( a! s. E if (grain-here < max-grain-here)
' d3 G1 [( d# j$ N: f [ set grain-here grain-here + num-grain-grown, z# \! ^* x! }3 h' H
if (grain-here > max-grain-here) # Y; k0 s- I) N; F7 T
[ set grain-here max-grain-here ]0 g4 G7 X' F' A% B+ Q% V
recolor-patch ]0 s8 ?. [- e6 {9 ]
end7 x6 t$ X; q+ `/ l4 e) ]. l
to harvest ?0 z2 g/ P# n7 J& a" t! r
ask turtles1 Z) J' ]6 t+ [* x# i4 j
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
5 A7 N0 D7 r/ j1 u; }( G/ y3 }$ V ask turtles
8 x% N2 E! O# D2 W# z [ set grain-here 0
+ @) f9 f0 R* l% { recolor-patch ]7 ^. F5 k. ?# m/ t
; ^4 k5 ` `9 T" \
end- C4 _5 J/ p/ @) R
; G' A N; r. X# i; W
to move-eat-age-die 4 J; [- T W3 u0 }
fd 1
5 W% x' t) c% `, w; R set wealth (wealth - metabolism)
1 t) c9 D) w% Q1 Q set age (age + 1)
: m5 C1 D5 m6 V3 `# }( {7 X' R" B8 ^ if (age >= life-expectancy)
9 B, j4 Q6 T) o [ set-initial-turtle-vars-age ]$ ]& J) o1 _- ] K7 ?: H7 w
if (wealth < 0)( y. Q7 d3 S) B( v! W+ u6 Y1 y* K
[ set-initial-turtle-vars-wealth ]
) R2 E5 e9 x! y, | 7 R, s. l4 s/ }. ]0 Y/ ^# ?
end7 E3 H2 D3 L* Q1 P0 a
# X' S! P2 w @, Y7 }
, _: u6 K ~; V# h- O9 Eto setup-plots, ~" [6 ~$ l) i5 }6 W
set-current-plot "Class Plot"
( g) k* Z0 O6 I8 |/ ] set-plot-y-range 0 num-people) E Z2 |1 l+ n# M5 c* r
set-current-plot "Class Histogram"% D2 {, q% G) |2 @, c
set-plot-y-range 0 num-people
! p! J& c; }' V+ Bend
4 Q0 O0 a/ y2 V- @: j9 h/ T; q2 Y- Y9 K
* b' Y8 c5 {( l; o9 d/ Sto update-plots0 u3 x+ S6 t( R6 F9 H( N2 A: C
update-class-plot; b' d, [$ N+ A3 L0 B5 r1 M
update-class-histogram: e3 {6 I+ \( V& O$ ]$ _
update-lorenz-and-gini-plots
4 u2 }; U, |! r0 ]! l$ Qend5 {2 t7 D9 R [( C
2 L2 ]( p( {; W
to update-class-plot
( t" Y3 |4 }- U3 k6 J) p set-current-plot "Class Plot"
! ~% E! Y. \, ~6 a, X7 V set-current-plot-pen "low"- @. r! s+ \- U& u
plot count turtles with [color = red]
* ^4 N s/ G& t/ S- t+ t set-current-plot-pen "mid"
; s2 E! ?0 ~8 }) I3 {9 D plot count turtles with [color = yellow]# B$ Y- b, t$ l9 X
set-current-plot-pen "up"+ R6 y% ^( y$ f( X8 s
plot count turtles with [color = green]* m/ d2 _/ ]% ~2 z" }) S! [. Q4 K
end* T4 S9 h3 o+ ~9 V6 h9 V7 @ u
+ F! T5 y8 M T' `to update-class-histogram2 S8 ?6 D; ~/ Q2 I' J3 v
set-current-plot "Class Histogram"% v" m- U* G) N( k( r
plot-pen-reset
& }' n& ~- Q5 H# D' P! D set-plot-pen-color red
. @7 b; ]6 g8 s$ C0 J& I plot count turtles with [color = red]& E2 R' z, q, B0 D) y+ I' O
set-plot-pen-color yellow6 q0 Q: h8 `' J3 D" O
plot count turtles with [color = yellow]- ^ B( W3 h. t2 `. Z
set-plot-pen-color green
7 [* u# e! f6 H8 H$ f plot count turtles with [color = green]& v; x9 P& f+ [( W" P& \6 u8 e4 W
end; \, @& m9 s) P
to update-lorenz-and-gini-plots* J# `( o% p! u' a! a
set-current-plot "Lorenz Curve"2 ]2 f$ U5 E8 o# h' b# y
clear-plot
. x+ i5 i c% i& h* j
0 H# O9 l r/ W3 s& d* Q' p set-current-plot-pen "equal", e- F4 `- N6 M
plot 0
7 q l* `- y2 ^1 q" c# } plot 100( a$ R5 H% M) x: H/ F( L- J
( o: }% s9 }% ^2 t- D
set-current-plot-pen "lorenz"
0 e, ]* ^6 e! M4 T$ g6 | set-plot-pen-interval 100 / num-people
& ^/ y: X. F1 e0 K! L# j* q& ^5 m plot 0
, l$ }! H, a+ t5 r, x. i# L7 k2 u. {6 t! T& H* I( e% b
let sorted-wealths sort [wealth] of turtles
( B* C; Y4 b. s0 R, P let total-wealth sum sorted-wealths
6 @( l* B" g5 i' U0 j let wealth-sum-so-far 0
; x% O! \2 d8 e, m let index 0
k+ i& p. ?$ _7 V let gini-index-reserve 0' a! g* A. b+ S
- R2 X* Q" @- ~8 l7 n% M% K repeat num-people [
/ h- |0 D. ?0 e% b$ L4 S2 J$ q1 I0 v set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)- s& k8 n: x* f( b! z
plot (wealth-sum-so-far / total-wealth) * 100
6 [' O$ E$ j$ ]8 s- N: [% S set index (index + 1)2 |' I8 X0 m" Y* f7 g
set gini-index-reserve
) Z! @; F) v4 N8 Y) y) e gini-index-reserve +. x3 D' ?5 h7 n C& t9 i3 b
(index / num-people) -$ y9 n y/ d+ k% d2 P
(wealth-sum-so-far / total-wealth)
8 T" H3 ~6 G* v9 } ]. l/ Q0 u1 e4 R. o
+ M3 E. e0 I j
set-current-plot "Gini-Index v. Time"
$ K* S: n* ~. l) s plot (gini-index-reserve / num-people) / area-of-equality-triangle/ i8 g* Y# f" o
end, |6 x8 q ^% z* l! W
to-report area-of-equality-triangle$ l7 N- ^3 f, U6 T# ] e
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
) i+ S& ]" i, u% V. a& |; [4 v8 bend |