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
! u$ f8 y. t: Y/ Yglobals3 c8 \. @. u j1 v$ ?
[9 `$ h K$ P1 Y' K6 v! V0 R
max-grain # h, X. ~$ c$ b; R9 d1 }
* P. {) \+ X1 i9 Y
]
2 N/ ~9 }6 T+ B8 q, o. {7 X: C
6 u4 b5 C l/ C; Qpatches-own0 u E9 W+ M# D( K& ~6 W- h
[
) h! V: a! f+ Q6 k1 y/ H% k! |, m8 t grain-here
4 x7 S) g7 w8 Q% _+ V: @ max-grain-here 4 r/ v2 `/ ?; v8 l( }& x' b4 {# p/ N, \
]
4 Q0 o- z2 U- C, x" p/ J% [# U6 c V% q6 ~. `5 v% R0 U6 |
turtles-own
0 k L0 t% p$ m' |: s& j[
# l, f2 @9 T" m6 z& T age - y: e2 i, A4 R" g$ }
wealth
# j4 W6 Q6 O% J5 H2 {; M life-expectancy ( ^* {' G6 Z) I0 h9 t
metabolism
5 m- X! S2 Y, d1 D0 } vision
, X5 j" J( `' i( }0 u$ f inherited
3 `- Q* e6 d2 a3 H- c/ k# D]
s) q9 f5 D& L. m
; e2 e- p0 B8 Y3 Y, S6 M2 ~8 G) b/ }/ Y
to setup' N$ `+ @- U. N; i' t7 _4 m
ca
( z' E B8 e: W* E) @6 O7 g! J set max-grain 502 c2 B. H; e; i- }5 Q1 R* E( k& v
setup-patches3 P; q# m! D* A: g. G
setup-turtles/ y% m p& l! h2 x3 D5 I0 I& G1 @
setup-plots
% h5 V+ z: d: z. A" ~5 O7 H update-plots- W5 W% a/ e0 p! ^0 S ~
end$ m4 E% o3 ~( |- c
to setup-patches
5 C0 R+ T$ ~9 h \ ask patches. B7 A9 \2 r% J0 u/ e6 c9 f/ M' [) {
[ set max-grain-here 0
- Y: U0 Z7 ]! Z# [( ?/ J if (random-float 100.0) <= percent-best-land
; W% x2 X- `$ O; W0 J) A [ set max-grain-here max-grain
% o4 p" y9 a5 M) x& l. X! Y5 K+ D9 f set grain-here max-grain-here ] ]3 I* I: _7 j" a# I9 r: V# P4 j
repeat 5; M) _: d! j0 L) R
[ ask patches with [max-grain-here != 0]+ E% R; K+ m/ Z& V; m2 J
[ set grain-here max-grain-here ]
. U6 q- o* u! C+ Y# X" g: X% N8 W diffuse grain-here 0.5 ]* H3 ~, ?# o& ?* a# h
repeat 10
& ?( m* V' A; J: z: T; b( a \ [ diffuse grain-here 0.5] - T. ~7 i! A+ v4 A8 ~* S
ask patches
8 B$ [+ B6 o7 ` [ set grain-here floor grain-here 9 ~+ D8 A, H5 q9 B) C! d, r
set max-grain-here grain-here
3 F/ Z$ v1 t: ~1 h' x recolor-patch ], l# {8 r2 O( I
end$ G- s: f" d5 Q" @2 g. O+ F
to recolor-patch 3 h6 D7 V2 ]2 d, j5 ?6 [% m1 v
set pcolor scale-color sky grain-here 0 max-grain' q4 t/ |- p {. m
end z. E, U2 }0 x7 d
to setup-turtles5 B2 ], ?; Q' Y% V0 _
set-default-shape turtles "person"
- S7 d% m* ~" t9 j5 E% q$ H0 C crt num-people
- G, C* l* b2 k! e" q' r [ move-to one-of patches
5 V0 Z' ~! V: |: q set size 1.5 : c' l, g- |. l b
set-initial-turtle-vars-age1 D8 t% u& A- j4 h
set-initial-turtle-vars-wealth
* L( V4 ^! [7 F L set age random life-expectancy ]4 d4 y" w2 d- j2 W/ A7 l4 x
recolor-turtles
k- }( V& K, \; L, R# Bend
! I6 ^& E8 ~6 F4 C" n. ^8 M. g2 Z( v7 y1 _
to set-initial-turtle-vars-age
* n, [# q/ L* J# t8 U+ t! Q let max-wealth max [wealth] of turtles
_; C. ~0 r- ]" ]
) S- p8 L4 q" a/ N2 e ifelse (wealth <= max-wealth / 3)3 n8 D% {4 _. ^, h9 [ G+ c0 }
[ set color red ( R: S/ M! B+ P5 Z# I, c# D
set age 0
% q C) ^3 s: A0 e+ ] face one-of neighbors4 % m% X8 d& r* Y/ E' M; X
set life-expectancy life-expectancy-min +
?5 W$ a L' S( }7 k/ Z4 U random life-expectancy-max ) A5 w5 ]4 Z) I; u. Q/ E7 W6 ?8 s. ]7 q
set metabolism random 1 + metabolism-low/ @3 w3 Y. F3 Z+ m r% z) W: G1 s4 |0 M
set wealth metabolism + random 30
$ a0 W; _# ^, |) x( L set vision 1 + random max-vision
- S' P8 p; U" d% p/ V q! K set wealth wealth + Wealth-inherited-low ]# `* J5 ]. c* a2 w/ h: a# c
[ ifelse (wealth <= (max-wealth * 2 / 3)), P, F5 F) V1 o5 L
[ set color yellow
( p. o. j/ K9 U: k set age 0
1 W7 q6 x! X+ b0 O. J+ V face one-of neighbors4 " l2 I- |0 A: c# K" Q' ?! L' L
set life-expectancy life-expectancy-min +
, B$ n5 I$ F& c; [ random life-expectancy-max + 1 u6 b9 w+ I$ m1 {. g) T/ @; K
set metabolism 1 + random metabolism-mid7 D- ~; y1 L+ z- A8 q1 c8 ` t# u1 J
set wealth metabolism + random 30) h% v7 T& y. D" A
set vision 3 + random max-vision& Z- m9 b9 }& \4 c( i1 a3 j
set wealth wealth + Wealth-inherited-mid]* r9 V* F; y! z3 D+ _% A% H
[ set color green
( v4 i1 ]3 v- ~& S. @& L set age 0
# D% f8 P- V) z( z" D! L: s face one-of neighbors4
% j3 p1 E& j' w: x- P; E% \ set life-expectancy life-expectancy-min +
! p! J; d" ~% C2 {' P# z$ z& I random life-expectancy-max + 2
6 [, p: b- q0 V7 c5 D9 V k2 [/ U set metabolism 2 + random metabolism-up
3 H# H& s- [$ o4 u7 t& ] set wealth metabolism + random 30& f, j! `4 O, w4 Z
set vision 3 + random max-vision: j2 t: s# l: ]- S+ y! W& [: |- E
set wealth wealth + Wealth-inherited-up ] ] ! S( j# }7 q+ n5 o% {4 \5 ?4 r
5 q1 \4 F0 X; {# c3 n
end
$ I$ s* ]! a1 E8 k7 Zto set-initial-turtle-vars-wealth
9 I( F) X8 e/ A# |* V/ t! {/ j let max-wealth max [wealth] of turtles; m1 ^$ u) [4 r
set age 0
4 P* i/ w3 T) ^0 c5 V" m' q$ F# p, t face one-of neighbors4 4 B' d. n' M% z2 i" C
set life-expectancy life-expectancy-min +1 b' y$ ^- M7 P" \
random life-expectancy-max ( o- d& R; K) H8 I- F: ^3 Y/ j
set metabolism 1 + random metabolism-up( _, |- l9 y3 B3 ^ Q0 g: k
set wealth metabolism + random 30" u7 |; e$ `; @! }* Q3 k4 V
set vision 1 + random max-vision ) C8 x$ F8 p' C' `, j, Y R4 Z
end
2 s# c9 p$ U) L- X0 W: j1 ~to redistribution' ~1 u, m) B0 F9 z
let max-wealth max [wealth] of turtles% u$ ]4 J: T! b. q( w% V" ] a
let min-wealth min [wealth] of turtles
1 } W+ B% J8 Q ?, ?, a$ l kif (wealth <= max-wealth / 3)( c6 b% e, `+ e: y5 C. C+ w. g
[set wealth wealth + Low-income-protection ]; G* Z3 M5 m( m' D; A
end
! P) y; B/ k" [, X $ p: [1 q( j$ }0 N# f/ }8 `0 V
to recolor-turtles3 B8 D8 O7 l+ |) S
let max-wealth max [wealth] of turtles
4 S( b* h9 D! Y ask turtles, O @ f5 F" |% y
[ ifelse (wealth <= max-wealth / 3)
* `3 b1 C* _% v9 @ @2 d) r [ set color red ]
0 e. K0 h: p8 c! I$ M [ ifelse (wealth <= (max-wealth * 2 / 3))& F, i! O7 C j) F0 w; m" N C" D
[ set color yellow ]
, Z" O" W; y/ O+ O/ n [ set color green ] ] ]
0 X+ a& y5 x" R6 J& B0 D+ E6 w ask turtles [ifelse show-wealth? @. K4 s( @6 @+ r% c! a) R! O
[ set label wealth ]
5 Z- \! t# J. ?8 R* T- A7 ` [ set label "" ]]4 I+ R0 u# M+ N3 k: J) h# x
end1 T) d5 v3 ?5 h1 S6 t6 F0 k
! ]$ Y: Q- Q, I: _& \
to go
; j5 v; m7 c7 l% H7 e1 E+ y# P ask turtles
$ `3 B i4 l @4 Z; A [ turn-towards-grain ]
& a# T" \: k& L( ?$ n3 a3 t* R harvest/ O. u, u+ y$ {; s, L" q D+ x
ask turtles2 n9 g' \" o1 N$ t0 } @! E: R
[ move-eat-age-die ]$ S; R6 C' E* b4 g0 v
recolor-turtles5 p3 u6 S/ Y: b# v/ ^" @$ q) z
if ticks mod grain-growth-interval = 04 i \& z) I2 q* f8 v4 l
[ ask patches [ grow-grain ] ]
9 I) _$ |3 @6 R' A$ N$ s ~0 r : v7 x) b3 y; X+ q' e
if ticks mod 11 = 0
- f% k9 a2 {1 k% k9 S7 o' I [ask turtles
^% i/ P' y5 Q4 W" J+ Z9 V [ redistribution ]]% a% ?" A [2 F+ Y
if ticks mod 5 = 0
% C/ t, r8 q. R' S [ask turtles% U7 h1 o$ o: M+ h+ |+ ]
[ visions ]]
3 K; h/ i# g+ ?' I" N3 u0 Z tick
' |% A4 _& K4 x update-plots# V# e* |# v+ t$ W. h
end
6 M5 M% X3 Z+ f" ~" eto visions
1 w( G+ R/ q4 g7 S$ u1 _ H set vision vision + 1 ; p0 i2 s2 S8 w+ t# C" O' P( o
end
- w, O4 W) {8 D' r# f6 ?6 B6 f, [1 W0 W% l
7 L) T: W1 y: y1 O
# f* |* i `) G' Z2 r3 l, `to turn-towards-grain
d% I2 e; ]8 r# O set heading 0; t, V, B$ e8 Z/ I& E- N9 ~* W+ @
let best-direction 0
5 s- A" a3 i, Y let best-amount grain-ahead, J& ~' M. ^# h7 D. w8 o
set heading 90, x7 p i. |3 q) _. I
if (grain-ahead > best-amount)5 P3 L5 o4 K/ ~" h' m h& m; | L
[ set best-direction 907 [! W K* V$ u7 {& b6 o, L- G% y& h
set best-amount grain-ahead ]$ Y* o ]6 h/ j6 I6 P8 |9 ^$ @
set heading 180
7 d, s e0 u+ N; k& n4 _# }, I if (grain-ahead > best-amount)
; R3 s8 `/ U* j) q- Y$ S% Q6 J0 S$ ~ [ set best-direction 180" k0 ~' G- d+ z% W; Y6 I* D
set best-amount grain-ahead ]& A( D; ~: P1 u7 l$ g. ~
set heading 270
1 F* d7 o6 L* J/ a& G if (grain-ahead > best-amount)
. r9 j! y* {# B9 V/ T [ set best-direction 270/ p) a2 H5 K) Z: ]; k# Z
set best-amount grain-ahead ]
% }! x) ]- J5 V: D& J set heading best-direction
$ T" b- Z- ^" n% S2 L( Z# Aend$ J" E$ _" t" e$ ~* e$ N
4 n+ \3 B' k% E. w
/ {6 N9 h1 b% g; i/ `) h6 i$ n
to-report grain-ahead
& t( K% r. @ h1 V$ c let total 0) e6 w6 L* K4 P, T% C }
let how-far 1
) B l8 i/ a( v$ E$ `; e1 x( G repeat vision
/ O$ ^( j/ {8 K# Q2 m2 Z9 ^3 W [ set total total + [grain-here] of patch-ahead how-far/ i+ \' H% y0 d- C
set how-far how-far + 1 ]4 z7 P, ^& |) \& o5 `, i
report total
6 Y8 S7 P; r* ~0 M. lend
+ z7 I) K+ Y) B7 v8 ~$ ~: z# P% i6 r# n2 A0 T' ~8 R
to grow-grain
9 \1 i6 n* k, h: k2 q if (grain-here < max-grain-here)
: U% X( b% G5 ~# p+ f! w ^ [ set grain-here grain-here + num-grain-grown
+ w, Y x0 ?) t5 n" { c) K3 x if (grain-here > max-grain-here) 7 |/ f7 {3 _2 r
[ set grain-here max-grain-here ]
0 [& R3 _; H! C; n1 p+ U recolor-patch ]8 X) H2 R; F1 d2 C4 _
end
# z+ e" u, S+ m- h% vto harvest8 v2 w0 X) ? U( g6 {2 @5 A
ask turtles) V" M8 V) _6 G$ y
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ `/ @# h, B8 B3 w! ?; j ask turtles, a+ p. V! V3 y( A+ Q4 p
[ set grain-here 0
( j! r# ^: `5 [5 Z7 q7 }- q: q! ? recolor-patch ]" a9 u+ t% x5 u$ b
+ g( M6 F4 G9 \- |; I8 S; p' A# ~# [& zend
" \( {: S# \% m' r4 I' U+ U1 S, g( H6 f$ _( f- v+ g. ?9 O
to move-eat-age-die
7 [6 R% h0 k, d, D. e5 r, U5 j fd 1- T) o/ i6 a+ W6 c- X7 M
set wealth (wealth - metabolism)
( Y+ Y0 o6 a1 ^3 z6 T set age (age + 1)* w+ x% p2 O% ~3 W" v
if (age >= life-expectancy)
C. u& B: K1 O [ set-initial-turtle-vars-age ]4 z- ]0 @# w6 @" P& @/ v& M
if (wealth < 0)
% ?( i, e) }& @/ b$ ]! C9 l6 w, U [ set-initial-turtle-vars-wealth ]. N# \; l$ A. Z5 L# u: w' y, g6 U
3 [8 Y. _4 l+ U! s
end
8 |% m2 j1 L0 @4 c$ |7 H. @7 E5 }/ t/ r) @) p+ f, |" q+ \
& o! O+ F) ]2 q3 v! a
to setup-plots% \: [9 H j% k) w" t3 I
set-current-plot "Class Plot"
5 L! P' h2 k+ i4 ?; h set-plot-y-range 0 num-people- A3 P x( V' ?8 n- a! ]
set-current-plot "Class Histogram"$ s, R- z# u5 ~3 D: L
set-plot-y-range 0 num-people
: A* R% T/ x( i. y: @! {end
9 m' i% A& M) S2 |/ U9 Q& B. k% U
to update-plots6 M" Q+ L; d; M3 S! F
update-class-plot
4 h. E: }$ f7 C9 U z update-class-histogram
- @( V" ~2 N) e! T) w9 s update-lorenz-and-gini-plots
/ x% L: B3 O! }4 z* ^" y5 Nend
3 S: j$ Y' p- u- Z) K, G! E
' A. _+ `" f1 L: Hto update-class-plot
9 G% {$ t% H* U- w2 {( x set-current-plot "Class Plot"+ t, T# c$ b. E* u9 w2 C
set-current-plot-pen "low"2 y4 e, e( j# s2 `* t4 A
plot count turtles with [color = red]
# E6 P6 M) p+ D0 u: g5 P, R set-current-plot-pen "mid"
; j# c0 g& ~, f# h% m7 p plot count turtles with [color = yellow]
. Y) h4 j6 [2 F set-current-plot-pen "up"3 ^. ^+ \8 Y, g
plot count turtles with [color = green]0 h. e7 O( x) b& V I
end: D% q# A, X+ j$ R
9 g- i3 |$ o2 y0 ]& F# L/ w
to update-class-histogram: s- {- h6 e" J, p3 `* d1 V% o7 g
set-current-plot "Class Histogram"
1 h. g/ }4 K, L/ q1 ?" e! h plot-pen-reset
; V7 ?! A* N6 ?% g5 l$ H set-plot-pen-color red! i! r' M% ` v2 W
plot count turtles with [color = red]
, N4 N0 C H! q3 `7 G set-plot-pen-color yellow- b- f; Y8 g0 O# U2 U! V
plot count turtles with [color = yellow]
: N R9 f* I) m P" B, h3 Y set-plot-pen-color green4 l. g" Q5 q" U* G, [2 E
plot count turtles with [color = green]7 u3 i' R) y) m8 R) F
end
/ ~' b$ ]: R7 A( a, H8 |3 _& ^to update-lorenz-and-gini-plots
l: i6 A$ ?) J) @ set-current-plot "Lorenz Curve"
5 A# @6 I7 q: L L* a" X* G clear-plot
: a0 n. A$ `: _! A/ R! y8 V2 f; O* o- M& ^/ j% [- h
set-current-plot-pen "equal"
3 _1 C3 J& h; M0 ^ plot 0. j2 P M4 E i9 p' I, }8 e
plot 1002 q5 k g) H8 T0 {: N2 Q& e3 c. P
7 {. q |" N2 w" h* \, U$ V set-current-plot-pen "lorenz"# s! t3 t) }' u
set-plot-pen-interval 100 / num-people
! {& w: W5 n2 [' S4 w5 l4 U# I' ]& I) H plot 00 p6 P: D$ m* \1 t' j T# Y
( P9 i0 n$ q Y$ N" D ^0 O
let sorted-wealths sort [wealth] of turtles
2 B! Y. D) ^6 w$ c% X2 W let total-wealth sum sorted-wealths
$ R. W) ?" x1 f% g. F) n/ t let wealth-sum-so-far 0 i8 L; Q# L8 v0 m1 q' R" K2 }
let index 0
. G0 B. b9 H0 {7 p1 b3 H7 p let gini-index-reserve 0) j' J( }7 L: G' p: X$ k" |
T7 m0 Q, f5 L; W repeat num-people [
+ X9 e1 W/ _( r set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" O3 @4 J& _4 J, G0 O
plot (wealth-sum-so-far / total-wealth) * 100+ q! O, `2 H2 X g: ]8 V
set index (index + 1)
, h# k" e! _# g$ ?" \7 V set gini-index-reserve" ^- o' G$ E- _2 r9 Z1 |1 l
gini-index-reserve +! a! _# @2 Q; i. I7 z1 g/ i
(index / num-people) -9 c2 K# ^/ ~* Q0 w: ?
(wealth-sum-so-far / total-wealth)
- x* B+ t, \" L! Q, @ ]
2 n6 D! h9 m3 F' j1 n" F6 B G6 u
3 \+ } Z9 w, }) Q0 V& A/ a, S set-current-plot "Gini-Index v. Time": Z7 W: B) y1 ]: D( T
plot (gini-index-reserve / num-people) / area-of-equality-triangle; Z5 {; ?2 k! \% ^) s) U$ X# \: q6 Q
end
2 u8 N% p) a; W$ N& Y2 Oto-report area-of-equality-triangle
# [& R5 |3 a+ w. H8 ~! F& J report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 K: d# d) j$ u3 t9 ]: K
end |