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/ x$ w& |
globals
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# u; o* m m Y$ |% u max-grain
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3 ~3 G5 v N Q) `' W]# D4 i+ g E' T8 d4 r
3 C& N6 {; V3 Z3 c O) \patches-own
/ Y5 f1 i, n0 E& c) [# u[9 Y0 j- k, _. g4 g+ n8 _
grain-here - y3 s& D. _, f
max-grain-here
0 J# R7 K M8 v- }0 M7 Q]- W! K) ]8 c% n1 W6 O6 X& m
1 ]* y0 p% k7 l% a2 H: B9 \
turtles-own
8 y2 H/ o, g' R$ V) k[+ p' z6 b" F: I" i/ ?2 p
age 5 Y" ]( i& W+ G; h/ a& H
wealth
9 P' C1 Y; n" o$ X life-expectancy
. ~* F9 ^, h X. y* R metabolism
3 c: r3 a/ ?& G3 S9 k vision
' t5 Y6 m8 i) _8 M3 V9 h8 C inherited 5 C/ [5 M" e* ~2 t/ H6 d
]3 @* I8 p0 b4 d# h. z+ d
- v; C* s# A* M: A) N0 q
, T) m: K: q n2 t0 U* j$ Cto setup
7 y- d& R4 \; {3 r% O% T ca/ n7 C+ G3 k$ a8 e" P$ C# W) _# Q i. ?
set max-grain 50
2 [% |0 R9 _& O( P2 I7 z: k5 m0 L; T setup-patches
+ y U' W/ n: W8 e7 P setup-turtles
, Y/ ]! |" k5 I7 g setup-plots
E- E8 T% A9 }5 e3 ]3 N- C update-plots& F2 S2 t. \! Q1 X3 o$ t/ i
end, v/ U# j" o8 \* J2 H- F2 {; b# l; b. _
to setup-patches
2 Z" B. s/ z! d6 S% d$ g& s7 G7 f ask patches
9 J) T+ N- H7 _' J @; C [ set max-grain-here 0
( {5 f' r) X& c if (random-float 100.0) <= percent-best-land, O" _0 p% k( ]: B5 Q2 ^
[ set max-grain-here max-grain6 t0 h8 N1 O: \7 F. h
set grain-here max-grain-here ] ]* K" D( P, O: u, G. F
repeat 5+ W) J9 Y: ^1 o: ~! s0 c
[ ask patches with [max-grain-here != 0]6 g4 q0 J; t& X5 Q
[ set grain-here max-grain-here ]
$ t1 i; d l1 Q) N diffuse grain-here 0.5 ]
7 S4 X6 l1 E9 W, e4 I; U( G repeat 10
* T, U$ Y% K3 J% U% n. B [ diffuse grain-here 0.5] 7 d* n d# w. s& i2 _
ask patches( F6 U a- ^7 W3 |$ W( R- D7 `% d
[ set grain-here floor grain-here
2 X7 ~+ E( U; O _ set max-grain-here grain-here
7 ^, g3 H8 A* @2 `% J/ | recolor-patch ]6 u0 E/ J- L2 A+ | _9 q \
end1 a @% ?6 @" ^: ]$ ]) p+ R
to recolor-patch 8 A% u- u. P6 q n
set pcolor scale-color sky grain-here 0 max-grain
5 c0 O) k; U4 F& I# `" N( M, Tend& B6 v3 o7 {+ _! u& g6 L& ]/ p' c
to setup-turtles
, T- R; D5 s E3 g& p7 A6 h set-default-shape turtles "person"
+ e# j: W) U; ]8 w- o6 D9 _% j9 G- X/ n crt num-people
3 k R4 o* e; S, z2 J# W [ move-to one-of patches 3 h" q5 L5 P" u
set size 1.5
& B) x7 k2 j; m4 S2 N7 c% M- D set-initial-turtle-vars-age
8 Y+ L) I l3 f" P0 Y1 N! o: p7 D set-initial-turtle-vars-wealth
; E [+ ~4 ~% w& y2 a3 H set age random life-expectancy ]) e- m/ @3 x% ?9 t! @9 q
recolor-turtles
- C8 q2 x5 N' r; T5 R. jend- ~- w4 r6 G3 H5 v6 U
8 R# s$ k# e: c/ z V. o" z$ S6 I/ Y
to set-initial-turtle-vars-age; H* |+ y& m- l( C1 Y
let max-wealth max [wealth] of turtles
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+ Y) x0 c4 `+ q. \( X ifelse (wealth <= max-wealth / 3)
; I. d/ K. ?1 n' F0 @6 n9 P [ set color red ' t6 u2 p2 J% D F3 Q7 g, [( e
set age 0( l' _5 T" w! m* p/ j; Z
face one-of neighbors4 2 N5 U" G8 g+ ]0 S6 D* m: }
set life-expectancy life-expectancy-min +
; d3 R0 `& L! l% Q random life-expectancy-max # ]4 a3 S% y7 t0 l0 k, v4 M
set metabolism random 1 + metabolism-low
9 l, M) e; a$ Z% M. a set wealth metabolism + random 30' Y- E" }' G# Q' K8 y* k& A% H3 G
set vision 1 + random max-vision' [7 D4 @% P; j7 ]
set wealth wealth + Wealth-inherited-low ]5 s' V+ l: D+ _+ t) Q7 U; p
[ ifelse (wealth <= (max-wealth * 2 / 3)). u' f$ t4 c: }$ S
[ set color yellow " n# S4 Y$ E% w9 s. g! ^
set age 0
) k# h( e9 U/ ~8 [ face one-of neighbors4 2 f6 }* O& D) G9 S1 h5 i& k2 ?
set life-expectancy life-expectancy-min +$ x# ]* a9 }( v, x& J
random life-expectancy-max + 1
" P, b6 e% V a- \0 O set metabolism 1 + random metabolism-mid
|' Z* M& R) }( g; g. A) e9 V set wealth metabolism + random 30
, D* `* P2 S! K9 B. R% T U. v* v set vision 3 + random max-vision
% t% y0 j4 J1 A' P5 c: `; t set wealth wealth + Wealth-inherited-mid]
* Z) V( d& P: g' F& M u [ set color green
+ m. n# b( M/ ` set age 0
$ `$ u2 {( I u w face one-of neighbors4 1 R9 a4 `6 W2 W; O
set life-expectancy life-expectancy-min +
+ V6 V3 ~% J2 u random life-expectancy-max + 2: B* K3 p( q6 c2 L" |% c
set metabolism 2 + random metabolism-up
& R2 i! c3 U% n8 k6 W8 G9 ?. @ set wealth metabolism + random 30& ]2 P6 m9 B" U" D$ A& v
set vision 3 + random max-vision
" k# w! e, J+ o set wealth wealth + Wealth-inherited-up ] ] T/ G; ?! o1 ^0 [
! Q. c* o; y8 q8 c; G: ~
end! g# M0 A6 ^5 a0 t( z3 k$ u) g
to set-initial-turtle-vars-wealth
p5 m2 e3 g7 A+ ^3 M! m: H let max-wealth max [wealth] of turtles, K2 n$ _5 C/ W2 A
set age 0
) Y9 D: [# L6 F( y' r& h face one-of neighbors4
9 x7 I: ~2 a% [6 t8 W set life-expectancy life-expectancy-min +
! D( K2 H' O4 \2 ~ random life-expectancy-max
& }& ?" Z1 B4 x set metabolism 1 + random metabolism-up0 L9 `2 q6 z1 j% G z' V% {: j
set wealth metabolism + random 303 g0 E8 n% K3 E: k1 Q* v$ B. r9 |3 z
set vision 1 + random max-vision
" P7 }, N% k9 Aend
' ~/ O$ v/ e. U1 \to redistribution p% \3 H" Z: i! I
let max-wealth max [wealth] of turtles
5 S8 k+ p1 ?/ U' E2 Klet min-wealth min [wealth] of turtles
$ ~8 C* F/ g. K% B! @% q* Xif (wealth <= max-wealth / 3)) `2 g V9 C$ C7 f: u+ F
[set wealth wealth + Low-income-protection ]2 G; ~) F* E5 p" y$ C, x
end6 c% c& ^3 e+ M! T% j" j1 N
$ U+ _4 o3 d6 ~" P7 `to recolor-turtles
+ X4 [; [: z1 l; @7 t let max-wealth max [wealth] of turtles
1 V! G+ _4 }' y& y5 D, m ask turtles/ L# _2 }" W. v9 u3 c. \% A
[ ifelse (wealth <= max-wealth / 3)* Q3 y% w1 s) `+ |
[ set color red ]
0 \- s- U7 u; @2 q) Z+ c [ ifelse (wealth <= (max-wealth * 2 / 3))
" k% n, `% m. i2 F! |0 P- U% H( F' | [ set color yellow ]* s ^) G8 n- [! t9 f0 l$ Z
[ set color green ] ] ]6 t. w) f& z8 W- P
ask turtles [ifelse show-wealth?. L+ ?# ]* h1 f& g0 ^
[ set label wealth ]0 t1 {) R) ]5 Q( M! C; j% e2 w
[ set label "" ]] W% X, d/ P$ l( Y
end' Y/ ^+ w' B x' g
9 ]1 I) w$ B' m
to go
% ]0 x+ j3 y6 d6 Q: z ask turtles' @; B7 q( ?5 c* V' W
[ turn-towards-grain ] 0 h, R5 K% [/ s; q! d3 v% |
harvest+ b9 B2 w" o( H5 m0 A# G
ask turtles
7 R+ t% f$ k* i5 {- x [ move-eat-age-die ]
' N# R# X0 ^" l* n( t9 g" [ recolor-turtles
6 q8 O/ m9 \4 n: E6 K7 @ if ticks mod grain-growth-interval = 0
) X& W: G$ B% v F: s! c% A/ E [ ask patches [ grow-grain ] ]
+ {$ ^$ Z9 U ^" o7 O* N : D# G4 U+ Z# h
if ticks mod 11 = 0
) r# d0 O' _! S( j' B9 P" h [ask turtles9 H+ X. t `$ J- T# `
[ redistribution ]]* o5 b. I: \+ @& [# U! w8 w1 A
if ticks mod 5 = 0) I x: `! J+ T* b m, F( P2 F' }
[ask turtles
7 g% T7 T3 B/ w) w" o- {2 y [ visions ]]* r: t5 \9 z; M3 [" |( Y
tick
1 i5 I" I1 j+ A4 n update-plots" C) E# [7 X8 l. t8 E6 z) r2 v' ^
end
0 d# S2 Q& l1 w+ ^7 W/ Dto visions! t" o% ?: y+ `' v) y1 m
set vision vision + 1 5 g. d$ Y+ N- U0 g i" R
end/ C- A& x! y- E% g( V( Z s
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: F, f# e- l, w6 Y4 g
to turn-towards-grain
" @+ |6 F5 m4 `2 h8 J set heading 02 u. @/ ?# \8 f5 k) l2 t
let best-direction 0: l4 s8 s% b8 c1 L/ B5 D T) x- O1 B
let best-amount grain-ahead
; A5 b9 u6 q4 \0 c, g set heading 90
' w6 G* G0 P8 `; L/ \ if (grain-ahead > best-amount)
/ ]) ]! h7 J9 e+ u [ set best-direction 90
$ {% x }: X& m2 O5 l; c- ]1 E set best-amount grain-ahead ]" r3 q# }, [5 h( f [- t: u: g- G
set heading 180% h/ j+ _- P/ n. I, M$ p5 p, W
if (grain-ahead > best-amount)" @1 u5 W( N7 W0 y1 r5 C' V; u
[ set best-direction 180
" R( e) v% k7 [- O1 C( Q1 q set best-amount grain-ahead ]
( k) }! b3 y: R& z. r* r set heading 2701 F! R, Z t7 ~( R& X; q+ P% a
if (grain-ahead > best-amount)8 p. S' e3 G$ q! N) o4 s6 F T
[ set best-direction 270
7 ~- }1 [2 y. |; K( ~3 \0 h K set best-amount grain-ahead ], f2 p- R* ~* `* v, i
set heading best-direction
" s7 K. p4 T. ~ `5 @end M- {* p* V( J- O) P
! k, l, [! M/ [2 g7 K: }# z1 t6 P: z6 ^! j# A+ d& {
to-report grain-ahead
: Y/ A5 ?5 H4 O+ Z5 y let total 0, ` m5 c8 f0 A$ C0 u! O0 I
let how-far 1
5 I8 h8 b; m x- C repeat vision
. u7 o9 d5 C1 C) T0 F' M# O: k [ set total total + [grain-here] of patch-ahead how-far
& h7 g6 u7 {% w4 k set how-far how-far + 1 ]( I# @' `; ~1 }% ~0 g' s
report total
7 N: ~+ ]1 [4 D2 zend
$ a# F ^5 n3 A9 A6 k! m6 X r. B k I( v2 l& u6 ]& T
to grow-grain + n d" G# N1 e
if (grain-here < max-grain-here)6 { M! F; b7 y9 B+ I& _
[ set grain-here grain-here + num-grain-grown m2 \$ E+ j; h& e% {$ O9 i
if (grain-here > max-grain-here) ! p* M% ~! W8 H+ }; Y+ ^; T4 Q
[ set grain-here max-grain-here ]1 M9 H% f' c7 ?7 A) b: v
recolor-patch ]
& a% J: [$ C3 l6 [1 }' `end
: n. ^- v1 Q- N- gto harvest
8 s6 k' ^2 o$ y! y: z; D ask turtles+ R9 c6 U* t3 T
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]5 ^9 M0 y9 N& h3 J& X/ i! E
ask turtles
C' `: T& s ]; }* G% H! m+ d# M [ set grain-here 0. S, G% V0 C! x
recolor-patch ]
: e. E3 O1 o- T; R1 g+ f/ l
# h9 F& M0 o( s# g9 F4 F5 d; s4 ]: wend
+ c) B. s8 E$ _8 b* ?$ n7 `, [1 _( k
to move-eat-age-die
2 h! Z/ _. b9 j. j# V1 A" G; e fd 1; I5 D& W6 R) m5 @
set wealth (wealth - metabolism)! ]* }8 Z9 }# U1 ?
set age (age + 1)6 B q3 L9 [3 P) C- `/ S
if (age >= life-expectancy)
! s6 S& e% P, j [ set-initial-turtle-vars-age ]+ y' X8 @1 W- v+ g
if (wealth < 0) d1 L' Y" v6 r$ }
[ set-initial-turtle-vars-wealth ]8 [5 x1 E+ \0 a/ t
- O, w6 K& R3 s: w7 l: `end$ p* |& C p* t2 g" S
# K1 B' G6 K1 n
5 b, E) z- ]' C& u9 Fto setup-plots( V5 N9 D3 L+ m. f6 G; P
set-current-plot "Class Plot"1 J# l! _+ j3 i [1 z8 t3 `' x
set-plot-y-range 0 num-people# j, _/ T3 Q4 e8 [/ ^# t
set-current-plot "Class Histogram"# m' B% F$ _' U/ b" ?
set-plot-y-range 0 num-people
0 T1 [* O1 Y- m0 j/ }2 n, k$ Dend9 _: l, } i# f/ C* z
. y" p" x: g, R% Pto update-plots
0 j& V" ?9 C9 d% b update-class-plot- `8 r' F F, a; J9 D
update-class-histogram# q1 l G& Y+ w8 `+ W% ]( E4 ?1 \
update-lorenz-and-gini-plots
% J K9 F+ D* H7 `9 q! Jend
1 X- _6 @ V6 n9 S4 c! g0 B9 n' v0 Y' z. `
to update-class-plot
: x) K- x# m# V; c7 n set-current-plot "Class Plot"
6 |5 R! D: u1 \/ {0 @" |! t# ?! ? set-current-plot-pen "low"5 H( f+ X- Y9 H3 o
plot count turtles with [color = red]+ `" }% E; F& O* |
set-current-plot-pen "mid"
; g `$ i* p: I+ D plot count turtles with [color = yellow]
' _; b, o% V: d f" l! K set-current-plot-pen "up"- @) V) h7 ?' j9 s* i ?4 u# G# D
plot count turtles with [color = green]* m) H* S# \5 D. q8 R6 ^
end& J- C4 o# D( M! K$ ?0 C
/ Y) X0 h, ^5 D* ?2 S
to update-class-histogram$ J- \( ~4 X I& W. g2 s! G. E; w+ [
set-current-plot "Class Histogram"
/ Q* V ]# x5 H9 z# d# V plot-pen-reset
" |0 `% ?, P& j& d set-plot-pen-color red) ?, g! e8 N( K! [1 D/ s: B3 {
plot count turtles with [color = red]& I0 D3 m# y5 Z" k- g4 P
set-plot-pen-color yellow
9 c: s2 n0 w, _! u7 q plot count turtles with [color = yellow]
( j' T) t+ {( D set-plot-pen-color green
$ M2 H4 T1 I, `- g( [% y plot count turtles with [color = green]. H# V4 B; O; q8 D/ `
end
8 `& `3 `( {% A9 X. Uto update-lorenz-and-gini-plots- g: e4 Z* e- Y* W$ x2 G
set-current-plot "Lorenz Curve"
; X3 Z. S% Z8 z# `. X" v clear-plot
0 i# w; T# P+ w" j# k- ^: o5 a
/ G# o/ ~- \& E5 P: e$ Y' ^ set-current-plot-pen "equal"' ^$ ^& a: h2 C! g
plot 0
$ ~4 n) f" R, Q z& [ plot 100
, w; E9 m, {& `# W
. A9 ^( x8 S# U. f9 h; B: s set-current-plot-pen "lorenz"7 W3 C6 V3 S# k/ K/ a0 M$ o5 z) V) c
set-plot-pen-interval 100 / num-people
" J! ]* F9 @! n5 h3 [$ X( z6 @) Y plot 0
& L% E$ x7 x) _3 m) g! c2 x
2 f! {- A- w; H4 ~6 G let sorted-wealths sort [wealth] of turtles
; W- M ]# M' a& U2 d6 v4 b let total-wealth sum sorted-wealths8 T; R6 X) i' P5 E( S: ?
let wealth-sum-so-far 0; B& ~6 @8 Z, [0 h' J
let index 0 D: E/ j/ J. l4 X/ B
let gini-index-reserve 05 `/ z& z- d! m F2 [+ M( m
, E8 }# ~5 y0 e2 W! O) T7 ~" `9 Z8 l repeat num-people [$ w; S5 d! x9 u+ u
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
$ C8 g! j* c2 y8 i K) w) T" D plot (wealth-sum-so-far / total-wealth) * 100 |3 d& b5 Z0 C9 V/ D2 R' Y
set index (index + 1)
# a" f" h5 U8 B set gini-index-reserve( u7 P2 `- E) B- h( f
gini-index-reserve +
) S: ~) i1 }4 `' ^ (index / num-people) -7 b+ ]' X% C" y
(wealth-sum-so-far / total-wealth)
) q& J2 y9 \3 U$ ~3 A Y* J ]+ x5 Y3 ~/ d* U- |, z/ P" s- W3 v
- i: W, M `' }& u, J) v$ U set-current-plot "Gini-Index v. Time"
* }4 j* g8 B% K7 L1 o4 N d- t plot (gini-index-reserve / num-people) / area-of-equality-triangle& L) I4 D$ f2 Z8 P
end
1 Y/ p) _8 j' i p+ B; }to-report area-of-equality-triangle6 M" Y0 X' ~: f$ `" y) t" I, |( }
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 e) }; i* A. h8 O' ?4 t
end |