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
9 q! S$ d* {9 ^( |/ xglobals2 b& v$ U5 w) T& \
[
% L9 _) P+ W$ @7 G max-grain 3 R$ @6 ], f4 R4 f6 x" v
9 k0 w) j' J% `1 g3 v4 i2 O
]. @0 C9 E" L* U" `6 k+ z. Z
2 F: ^) w( o( R; z. o. E8 D; Ypatches-own6 A1 E4 B0 r4 L) O% p
[, I$ h, D/ S; x9 n6 [8 o
grain-here $ A4 F# x" _2 Q* u. r; z# M3 D9 ~
max-grain-here
0 R* a( ?, z( f& c& O]
/ Z) l, c3 }/ X o. F
3 u9 X# B* O: Fturtles-own e; U( H: d/ |9 e, M; I) F/ y1 Z
[3 i# P/ n- H2 `
age / w) A+ n) j Q
wealth # `$ o/ |& S! e, w. L, |* t
life-expectancy
# y0 c( C6 c) M+ u/ Q; ~$ x9 p metabolism $ ], h5 z# x2 e8 e* p1 ]: M) y
vision
) N/ s$ Q) g9 L- x inherited
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% Z+ o1 ^6 G' x' m+ `
" F q( k$ A8 l* I6 Vto setup
- ^ V* w* J2 P8 J ca4 @8 Z$ q9 Z; L, I
set max-grain 504 j& k, Q$ o4 W+ r; D7 W3 n
setup-patches" t% M, h/ ~, k/ j- L5 z. V
setup-turtles! A1 ]4 E! ]2 D; e0 L
setup-plots- m/ L6 z* C0 T
update-plots
/ k5 `/ F9 T- a% Gend
# a/ I }7 F- T6 ^: ~to setup-patches0 \/ _: T' u/ B8 G: y
ask patches
* y5 D+ O4 Z1 r: o- c* c: O [ set max-grain-here 03 a! Q! Y; ]/ |4 y0 j D( y2 E% v! N
if (random-float 100.0) <= percent-best-land
5 r+ K2 S; s6 c, p- e$ o9 N+ W, F [ set max-grain-here max-grain
; j4 X8 \0 j( O set grain-here max-grain-here ] ]
9 u" k& g3 e( p7 y- j+ a repeat 59 P8 f9 R' N# l7 X2 d' ^& P
[ ask patches with [max-grain-here != 0]. R5 X: t, z2 W4 i/ V3 |5 t. r; t
[ set grain-here max-grain-here ], _3 {: Q% G4 h5 K
diffuse grain-here 0.5 ]
8 ~/ ~' }1 i( W$ t& N9 J repeat 107 r- D4 T) p3 \9 w
[ diffuse grain-here 0.5] ' `& `8 z9 c- \- M! c7 b
ask patches* O' `( [; }1 _$ X6 w4 ^' {
[ set grain-here floor grain-here ; M2 e1 T$ ~3 c8 U c% G& E; C
set max-grain-here grain-here # m4 ^( ]% C6 B; Z2 h) Y# S
recolor-patch ] x' C! f X6 B0 l7 \, j
end
0 I3 Z( A4 @+ R1 T0 ^/ z' lto recolor-patch
3 |( S& V( t6 R set pcolor scale-color sky grain-here 0 max-grain
) j' e9 [; l p Pend
( D" P( |; }7 z, j3 y, H- Pto setup-turtles
, K! U* o7 D8 ^: v5 n5 Y, k6 c set-default-shape turtles "person"
, J3 K- {! E. E crt num-people
' L- u! E; x$ k7 d, t [ move-to one-of patches
8 V5 W8 d$ J9 B4 ^8 M8 t set size 1.5 ; b4 p# G5 o' J, q3 ~2 x; f$ U
set-initial-turtle-vars-age3 V4 z( h+ I! N- }' C" b
set-initial-turtle-vars-wealth$ {( g+ _5 ~1 o; @" N
set age random life-expectancy ]
2 f5 u- X# P4 U. E$ Q: C1 D# P recolor-turtles2 {2 V/ Y9 @8 `: C
end
% D2 w, W, m: A1 A+ c$ ], p6 O- I% }* k+ U2 h+ _
to set-initial-turtle-vars-age( @ R1 _: X# V; X2 e6 ?' `
let max-wealth max [wealth] of turtles9 l8 o: e$ ^# T2 O
# q% E# A" w5 X" c/ Q ifelse (wealth <= max-wealth / 3), h+ F9 M9 \9 r: @. v7 z+ M
[ set color red 8 b' R) W" y6 `4 S
set age 0
$ o1 T- S. i8 q! U0 Y. M- s face one-of neighbors4 3 g. k0 `0 k4 G5 i- k. `
set life-expectancy life-expectancy-min +) B' W: l# F+ j1 e S. U# X
random life-expectancy-max
& H: R5 n, R @" { t- L( z set metabolism random 1 + metabolism-low% }" d, h* p0 O' L B
set wealth metabolism + random 309 I; t& I. }1 ~" R/ e) _
set vision 1 + random max-vision4 S v2 ~/ v& }3 y% ^2 h
set wealth wealth + Wealth-inherited-low ]
/ e/ U6 [ N5 z: e [ ifelse (wealth <= (max-wealth * 2 / 3))
- t* P1 G5 S' r [ set color yellow " }6 K' v8 U% F
set age 0
! \! _0 T. E" m; i. v& q face one-of neighbors4 / m5 T( W- I" g3 Y& I( U
set life-expectancy life-expectancy-min +8 M/ ~- |; o8 W- W g
random life-expectancy-max + 1
5 H" a1 J+ ~6 i l) Q set metabolism 1 + random metabolism-mid
7 u: b1 i: m8 [6 V set wealth metabolism + random 30
2 d3 w) Q m5 }- s# _1 L set vision 3 + random max-vision
) K9 e; K2 v% r9 \+ s0 } set wealth wealth + Wealth-inherited-mid]+ ~8 L+ ]2 S" T* `3 @! v% A% V9 ~
[ set color green * e5 J0 V4 O; O; g& k
set age 0
, K( v" a8 w# ^; y face one-of neighbors4 , ^" F, O( ~* a+ h; x
set life-expectancy life-expectancy-min +
3 P* z" P7 L0 K random life-expectancy-max + 2
4 v1 x* V- A/ {% |' U. P: U1 W set metabolism 2 + random metabolism-up# s3 G" a6 w3 C
set wealth metabolism + random 30+ l- l4 N, i x, Z- U0 i% i0 y
set vision 3 + random max-vision) k+ Y( _8 T5 u
set wealth wealth + Wealth-inherited-up ] ] " ]+ z! Y) j& v
2 ^6 z& d# b# _4 `& ^
end
8 U1 ?7 W; {! \4 Z% kto set-initial-turtle-vars-wealth) E9 l, K2 n9 x% h5 @6 F" j- o
let max-wealth max [wealth] of turtles
) ?7 c7 W( o0 B: Q+ z set age 0) l9 l) f0 c; m7 X
face one-of neighbors4 - \. b: ?9 M) S0 w" X) k) F. D
set life-expectancy life-expectancy-min +
" W% N/ t- F3 n1 \3 ^) k2 p# s( H random life-expectancy-max
8 o2 o2 ?2 A5 r5 t$ _9 h7 M set metabolism 1 + random metabolism-up- \+ H$ }, u) Z4 a+ r( S" E
set wealth metabolism + random 301 u6 ~! G9 r* ]" ?' d1 u& i
set vision 1 + random max-vision & V, `+ B4 K3 v6 z1 I1 F3 T- c
end
* l9 m- I6 L& Eto redistribution
% P7 R& a7 c1 c3 @6 Q1 B6 xlet max-wealth max [wealth] of turtles
! i. x+ m# l9 W7 F, ?3 b1 Alet min-wealth min [wealth] of turtles @( p' j6 k1 h2 G
if (wealth <= max-wealth / 3)0 ?& t! h9 J% [9 f) {! n. o6 H
[set wealth wealth + Low-income-protection ]
$ H) \8 p" O: g5 y, K4 w$ P% w' Aend
5 j/ t( v7 P$ M
( a% Q" f+ E' X) |' oto recolor-turtles% p9 A# B! \0 }; ^
let max-wealth max [wealth] of turtles
4 S! t! n s2 e& a# z2 s1 F ask turtles
& _( T# I: v9 B3 U/ z [ ifelse (wealth <= max-wealth / 3)
, k" K2 K4 J& W* f5 x% J6 E: x1 ] [ set color red ]
2 Q: z3 m7 f. ?7 | [ ifelse (wealth <= (max-wealth * 2 / 3))0 `( J T4 a$ o% v
[ set color yellow ]! P% S- J' B3 `7 e) ?3 G( @8 C
[ set color green ] ] ]' ^( X# {9 X7 Y M) \
ask turtles [ifelse show-wealth?) o8 e3 ?& U4 [8 N& a v, w0 C: X5 q
[ set label wealth ]) x: ?1 e$ W1 |4 }, b- I6 R" I8 F
[ set label "" ]]2 N2 J- C6 e4 c4 m$ q
end
& J8 _" W( Y" \0 U& `$ y' J5 Z4 z- b$ I X! x& e
to go
+ x6 c5 ~7 R- j ask turtles
+ H6 a% p0 K1 S5 Z' N; z [ turn-towards-grain ]
- q9 d% b% N' W! p* }$ }' @1 j; V& c harvest
- `4 G N9 O. X5 ?2 c- l; z! C3 e ask turtles( U" b1 J- ?+ T* o; g* x/ q
[ move-eat-age-die ]
6 H: H% d D" n7 e. ^ recolor-turtles r {7 A; X. I7 C, c* ^( @9 r3 t
if ticks mod grain-growth-interval = 0. S( `( _7 f8 u5 Z! t4 \
[ ask patches [ grow-grain ] ] ~) U2 ?, B5 y: `
& u9 ~+ D( h# W if ticks mod 11 = 0
0 h' Q( K1 p# }, ?1 d5 s" u9 u9 [ [ask turtles
6 Q( c& C1 ^9 m8 S* O [ redistribution ]]1 ?3 f$ M0 `( W- v2 l# I+ O+ G
if ticks mod 5 = 0
( a0 L* m. L8 k- l$ j! T [ask turtles
+ R' q) }8 H* w [ visions ]]( M! S8 M6 ?+ E1 i+ F
tick
9 S& I9 m6 Y9 g7 J update-plots6 _. ^% m$ X$ }: C
end, I% q$ m0 c! P" |. U& a
to visions7 l) G2 u3 L/ `( ]2 t
set vision vision + 1
: S; v7 B, o' \8 s2 c0 Zend
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to turn-towards-grain ) H8 o1 p4 H9 h/ T% M
set heading 01 d9 b) N% y* C+ ~
let best-direction 0. H b9 b* k9 ~% W( `1 V
let best-amount grain-ahead
% P8 W8 }) `$ E2 X! K) Y set heading 90
3 K$ N% U: F2 @. S3 m" o if (grain-ahead > best-amount)
- a: v! S/ x$ b5 m) U" ?3 M [ set best-direction 90. T* e5 d) J- P# Y* f8 _
set best-amount grain-ahead ]3 s8 U: a: J3 m8 n
set heading 180
+ W7 j$ i) g4 T2 Z8 ?( {9 s if (grain-ahead > best-amount)( [1 y! @2 @. r5 h7 D t6 U+ }
[ set best-direction 180
$ d) v( m& @# O' A$ v set best-amount grain-ahead ]
3 O1 S) ^# b. q set heading 270
" S% E& ]7 e5 {7 n6 u if (grain-ahead > best-amount)) q( Q' q& \# x, _4 [2 ~
[ set best-direction 270( r7 |2 t6 @& O s
set best-amount grain-ahead ]
F8 ~/ P1 n* @ set heading best-direction6 ]6 E8 Q! v9 Q7 c `
end
c3 S+ I; m( P- ^) }9 ^2 j# f5 D( s, t/ x$ w
5 Z/ G5 b; S# \2 C
to-report grain-ahead
1 U7 ^& p* d0 S, t& ? j let total 03 l( G% m0 r/ E) P0 F. A
let how-far 11 q, |6 A9 h0 c3 l( p; c
repeat vision( T7 k2 L3 Y9 r8 Q( c8 k% Q
[ set total total + [grain-here] of patch-ahead how-far8 U: M& e/ _5 ]1 o/ U, x
set how-far how-far + 1 ]+ G% A1 O5 E3 V) C* I5 }
report total
' ?) R# C2 j! |* S) iend* g7 ?3 [6 C" z/ u' [' s( s
! D. b. {* r0 V2 Yto grow-grain
4 T; `3 k+ x z9 ^1 C if (grain-here < max-grain-here)
* d8 u* v! I' u4 T& L5 ] [ set grain-here grain-here + num-grain-grown
1 r& d# Y- ~1 u7 o if (grain-here > max-grain-here) : i, k& |# e6 c: t( J; E
[ set grain-here max-grain-here ]4 A* q- a; Z# \7 w" `: J
recolor-patch ]* X z& y7 m( g% |" ?. b
end3 x s+ G/ [) ^" L: F8 ~& w2 ~
to harvest6 e, ^ G9 d4 c& R: h/ g- h
ask turtles
' G: I+ c. _+ c: `- }* T: f, k [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
9 F/ s) R$ B, O3 U: t: u) k ask turtles
, ]) ?* x/ F2 |2 ?. d [ set grain-here 0+ `9 w0 P7 P8 v6 q% y
recolor-patch ]
: c& b& @; s2 y! f! q
" _) u f: g7 C: r. B: vend: o, z4 Q: r5 E
. v4 v0 B8 X! b" U @; m
to move-eat-age-die
2 r2 g# y4 u7 @* H. r fd 18 H9 `8 }$ j( h4 `( B: Q$ B
set wealth (wealth - metabolism)
1 y' M2 o% V- H. p2 { set age (age + 1)' z T/ i& ~8 G3 `' M/ `4 a7 k
if (age >= life-expectancy)
+ k2 s1 R/ u$ H3 r- x# |2 b% j; ~ [ set-initial-turtle-vars-age ]7 C; U5 @4 o* @
if (wealth < 0)2 i7 _. L2 U4 [/ D3 z
[ set-initial-turtle-vars-wealth ]
- [# U/ X# _2 O4 {
' g& a l8 F) }5 |# @8 Zend
# z7 \- {* L& |4 }( ^" t: F0 g! W8 D& W& p( Q2 B
R0 u; Y: R x$ r5 Pto setup-plots
7 u5 Z$ y. ?, J2 a5 @ set-current-plot "Class Plot"
' ]& g% D! R" N' ] set-plot-y-range 0 num-people4 ~/ o) r- n g; E0 U4 V7 ^* ~
set-current-plot "Class Histogram". V$ o$ q! L. |* k, o5 J* z3 a2 t
set-plot-y-range 0 num-people! G! W; R( y, [
end a9 I) k H7 b. p! a
3 {. ]- c0 e- m% E! W" V8 O
to update-plots
7 M- ]3 g6 W( ~# {( ]( F% w update-class-plot% U' n9 l+ c3 n9 B8 R
update-class-histogram
7 ^; {$ I1 g8 _. {& j update-lorenz-and-gini-plots
- [+ s4 N3 E) r( Y* aend% Z. c- g4 T* V* v( @6 T
K9 H7 A- U }" T' [8 @$ @0 D
to update-class-plot' Z1 z* @6 E2 _' t4 ^ j" |- z% p
set-current-plot "Class Plot"7 p2 X$ M/ e& _& d2 w
set-current-plot-pen "low"
1 C" J0 s! ^3 w! G plot count turtles with [color = red]- @* ]. m, n8 F6 G
set-current-plot-pen "mid"0 q5 o4 l) ^ i" U8 H
plot count turtles with [color = yellow]
0 G7 t& [( A$ E5 R* ? set-current-plot-pen "up"4 i8 z. A- k* l: b1 {
plot count turtles with [color = green]$ K: A* s' V2 @/ b# r' n2 x
end
0 E& e. L c; m; g4 F
+ b1 T6 e6 z0 s3 xto update-class-histogram
4 V" {/ M1 e+ | set-current-plot "Class Histogram"
( _) h. E6 X1 ]# @( J" C4 d5 F plot-pen-reset
- G' G+ {& H' D- R set-plot-pen-color red! q; \& |2 O8 r. f5 H( A( k
plot count turtles with [color = red]' f# p1 H. S* A% f1 d) [
set-plot-pen-color yellow5 g: d5 F6 ^& J2 z
plot count turtles with [color = yellow] g+ t8 \: j. G( x
set-plot-pen-color green
0 W' g. a4 ~7 ^6 q+ d$ h, y4 R plot count turtles with [color = green]: C$ b( d) K) d3 S
end/ C1 b( P) g6 ]3 K
to update-lorenz-and-gini-plots
! `+ p7 {% E5 C% q! }3 n. K set-current-plot "Lorenz Curve"
: {3 } ~; i1 ^& h$ X. o2 K1 a clear-plot
: z% u9 x0 M& \( W# }7 h5 d( m, G
set-current-plot-pen "equal"
5 v( x2 ~% R; D `7 m. ~+ B plot 0
* d2 z, m- K# [ plot 100
( P! i* ]6 _0 B0 L* W1 M& U# N4 |7 B! p9 [$ O6 R
set-current-plot-pen "lorenz"
( m, s5 G( W0 F D set-plot-pen-interval 100 / num-people
. O6 x4 i6 ~% g' n! z* { plot 01 v, ]( N# O5 p' P4 d
: f2 F" S0 o8 F& `" ^ let sorted-wealths sort [wealth] of turtles) n9 i! J- |) m5 R1 N2 T
let total-wealth sum sorted-wealths; T6 I. \. x+ d& d- E1 U
let wealth-sum-so-far 0 S5 _- X; f- O$ _/ x2 q
let index 0
7 [' H) o+ U7 G let gini-index-reserve 0
! K- r+ ?. w5 L5 P6 @6 q5 g* k: V/ G" a `0 P/ Z
repeat num-people [- _5 x; I( Y8 d" F6 ^2 `5 _) Z: W
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
$ M5 v" F5 w. {1 o- @- L0 I plot (wealth-sum-so-far / total-wealth) * 100& n$ ]) @5 M. o) W/ z; G
set index (index + 1)* a' E, i; G9 e G
set gini-index-reserve
2 L- S0 e7 n& N" S) ~ gini-index-reserve +0 D, l9 Q4 [5 Q$ A/ F, p
(index / num-people) -/ k+ O- a J8 s7 | [( d+ s
(wealth-sum-so-far / total-wealth)
! z U+ e ]" k3 `( C ], |$ u3 k8 c" }; u; [/ R( i
h' l/ }4 y( E* \! _1 f( k set-current-plot "Gini-Index v. Time"
/ ?) T4 N- k* G4 Z. n plot (gini-index-reserve / num-people) / area-of-equality-triangle4 K7 T1 N! c8 c% Y& i% L
end! q: E! X; L3 N9 p" o! F
to-report area-of-equality-triangle6 N. E6 z f9 X* N( @
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)/ U+ `- l4 V) Y" G
end |