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 g4 s6 S3 k0 {% |- Q9 ~
globals
- x5 K4 c0 G* f! M[
' F8 A* ~. ]$ U" @$ t. x* Q3 R max-grain
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]
% O2 K# u0 r" I1 p! W2 o. ?' y& n8 {$ F8 j7 c% U* s) [6 M0 x
patches-own
/ r; _9 b- @0 M/ M[
! Y- x9 S0 I& j) P" x7 L( a8 C grain-here
1 A. E0 a# ?( ]2 W) w8 K F7 b max-grain-here
6 n: e Z9 m7 n$ K& V6 [% c]2 [% v' D6 e7 t! Q
) b2 W3 o9 U7 F$ q5 s& |turtles-own3 U- s& L" h$ _5 o
[7 D1 A0 C* r( g+ x. b. v- J
age
8 S; o0 B7 q+ x9 [ wealth 2 B8 Q+ b6 c5 J. g5 W' V
life-expectancy 1 m" U( X+ D6 K) |; Z% I
metabolism % K1 a( U& X$ T' ~
vision, t- t, S2 ?. d/ }. y/ J8 L6 S
inherited
$ b5 {: c% n1 u% \0 Z]
8 p' g8 G# S0 u' h2 p2 B7 k
# ]7 T5 L& t: E( Y5 P, J# i
. E+ V1 d# G* i0 j8 hto setup" T+ B( C) f% v, [- z" i4 n& F& N
ca
; P9 G2 o8 i9 v2 e set max-grain 50
* `: C P$ z/ G5 T setup-patches/ s3 y8 F( |/ y: i' R& q
setup-turtles
$ K: L/ q y- }$ P$ ~8 S setup-plots' l5 Y; A- m- \
update-plots1 P( n3 o$ F' V; a1 o. K
end
) Q; S' @: ?4 j1 v* y7 g5 m" E/ w+ Zto setup-patches/ x# _. b0 W% `: s2 i
ask patches
4 [; p+ t. L- R8 ~( G$ H2 c( y5 p [ set max-grain-here 0
* v* V$ S; B) a5 g! ~6 F) r j/ N! K if (random-float 100.0) <= percent-best-land1 V) B* X, |* n4 E
[ set max-grain-here max-grain
3 x" \6 F2 J; j# V+ ~* J set grain-here max-grain-here ] ]* R; y4 e5 T2 l/ B% ^. j# y
repeat 5
. a: h) e! k: N [ ask patches with [max-grain-here != 0]
3 k3 i/ M9 S3 s- \ [ set grain-here max-grain-here ]
7 [5 Q% a0 h1 a8 ]/ y. x8 O diffuse grain-here 0.5 ]
: T4 H! F1 r: l3 q repeat 10
2 L$ ?5 I( G2 \. c% n0 U [ diffuse grain-here 0.5] ' C) i4 W1 i& j6 Y1 d0 T
ask patches$ f) I5 n! \& [; i2 G
[ set grain-here floor grain-here
7 o" W8 t' ?. L$ l# l8 y set max-grain-here grain-here . O- m7 K' g- P) m# g" x/ x Q
recolor-patch ]
) ], t9 r/ G1 B- L \end
" Q4 q5 [/ F, o3 w5 eto recolor-patch
. D1 i4 L3 ~# G6 L) V4 h e8 c set pcolor scale-color sky grain-here 0 max-grain
' K z4 a: W# h4 }% F3 F- Cend' f+ E$ x. I7 S# _/ ]2 y
to setup-turtles4 M" C) W! u' ], e4 e$ G
set-default-shape turtles "person"
2 v, e9 F4 P2 O/ v; ~4 Y( \9 u y% l crt num-people9 x' @. s1 P5 o* {$ w
[ move-to one-of patches 9 e% I: F. ~9 X$ x. g) R) k
set size 1.5 {7 ~8 n6 m. A* D% d
set-initial-turtle-vars-age4 ~. r" V! Y% C2 ^3 k4 s% j
set-initial-turtle-vars-wealth
* l: F! I& ^) _7 u; M& K8 Q& | set age random life-expectancy ]
, `8 B4 P/ X/ u2 p, }$ a! I' B recolor-turtles& D7 N) H& Q9 L2 ?
end: v2 U: U7 y* ~% J
- `+ }- ^4 I/ o; {& q* ato set-initial-turtle-vars-age
9 W" O g l( z: }: t u: n0 ^ let max-wealth max [wealth] of turtles
1 x7 G/ V/ A: a+ @- E. j. U' @
) W* P& q- v* `% K/ g ifelse (wealth <= max-wealth / 3)
' Q8 p: Z, ^% Y7 m [ set color red : w1 r) H9 E! V4 t" Z
set age 0
7 i+ Z" `$ k) u/ B7 `* Q face one-of neighbors4
$ Z' S" t0 q1 o, Z& L. S$ ^3 W, I5 g set life-expectancy life-expectancy-min +/ d7 m$ l# A) H* s
random life-expectancy-max
6 U. F- w* [; w& T# B set metabolism random 1 + metabolism-low+ \9 }( F4 A3 Z9 B
set wealth metabolism + random 30" _# u! b7 Z2 F" s' r2 ]& x: [! G
set vision 1 + random max-vision f) }. r& T+ v
set wealth wealth + Wealth-inherited-low ]% p% S) I; a0 j" p5 J7 V
[ ifelse (wealth <= (max-wealth * 2 / 3))0 |( a! h9 S0 n
[ set color yellow & t& u5 k3 M% W! T$ C j
set age 0
& R+ A/ [2 j! E: M face one-of neighbors4 $ v+ j; K* x1 ?
set life-expectancy life-expectancy-min +
! I. B" ]2 }# ]# z random life-expectancy-max + 17 C4 M+ X" [, g& J* n! f1 Q
set metabolism 1 + random metabolism-mid( N. U* {1 R, |+ j" F+ k+ H4 Q5 @
set wealth metabolism + random 30
" ^# p+ Y1 c3 S9 u- z set vision 3 + random max-vision1 _2 ~5 A: D8 F) n$ E$ e" c8 T
set wealth wealth + Wealth-inherited-mid], D) m# V$ s u f0 u7 w
[ set color green
; G' s* _& D/ {" J3 Z7 o set age 01 _% Y) X2 N K1 {8 o0 q7 U: {
face one-of neighbors4 ( p* V6 D+ f" l; t# g' [, O
set life-expectancy life-expectancy-min +
6 S+ X5 `. r5 ~3 [ random life-expectancy-max + 2
9 v# [8 q) \' D3 x0 y! n set metabolism 2 + random metabolism-up' @% R0 Z% v' S4 e+ p/ f. f: H# V
set wealth metabolism + random 30 J) y1 }/ c3 J& F; Q6 E; H
set vision 3 + random max-vision
/ j7 y8 y9 ~$ k set wealth wealth + Wealth-inherited-up ] ]
8 @% |0 |2 C* |
0 I! g: ]& o7 m9 Vend0 _: I2 C4 a( {5 X' W
to set-initial-turtle-vars-wealth; d; a( N) M" s+ {" W1 R# A
let max-wealth max [wealth] of turtles
. S5 U* }+ y" a set age 0" }: J# C/ Z' w4 r
face one-of neighbors4 B+ [) i- l3 k8 i/ [4 G
set life-expectancy life-expectancy-min +# @+ s7 ^% k7 g% v- C" \) x* b; m
random life-expectancy-max
6 A$ X7 L0 L4 ?+ `/ I' k$ R+ R3 G set metabolism 1 + random metabolism-up0 ^6 z, ]) S7 F
set wealth metabolism + random 30
/ u5 _1 q* g; u/ ?! D set vision 1 + random max-vision 0 @$ L R3 B- N$ j* }6 H+ S6 ^
end
r' s, l7 K% ~* B2 R* }to redistribution
$ B1 M5 P" Q* [let max-wealth max [wealth] of turtles& b/ L. Q! b' V: n3 V
let min-wealth min [wealth] of turtles
- p- z3 w) _: b( R6 r9 zif (wealth <= max-wealth / 3). T) x ^6 t2 |( V+ B% Q! U w
[set wealth wealth + Low-income-protection ]# j. Y& C, F. J8 o4 M K$ j7 [9 |
end
) v8 j4 E. Q- t: p/ S' l
- S; M9 m3 U; N# N, F- W8 vto recolor-turtles
4 R+ P( W5 L! E7 U9 e let max-wealth max [wealth] of turtles
* l7 i& V6 u4 v i ask turtles7 G* d; T/ D8 ]0 q4 H; z7 }" z: d
[ ifelse (wealth <= max-wealth / 3)
2 G" j! h) l! w. n7 _ [ set color red ]
+ p9 H9 z" z1 D# C4 s2 x3 \ [ ifelse (wealth <= (max-wealth * 2 / 3))9 R# }9 H$ Y) |& ^# Y
[ set color yellow ]+ \- G. T3 p6 c2 U3 w
[ set color green ] ] ]
9 a- R& Y. @3 D6 M, | ask turtles [ifelse show-wealth?
- K& T) h* P0 I [ set label wealth ]9 s# G$ y0 ^) b" a- w& H. B" F
[ set label "" ]]
$ n2 H. D" g. M% d8 Aend3 o0 Q! i7 h- w& j5 u5 \
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to go
+ G9 `: W' v1 s0 Y/ x+ v ask turtles
/ I2 g* f% I& ~ f& n4 U$ J [ turn-towards-grain ]
- x$ C, U7 c. e5 w" x8 F' A harvest6 ]: d, c2 ^4 ^/ Q: P/ ]8 W
ask turtles
5 n5 t& m) C5 b7 @: ?3 V9 } [ move-eat-age-die ]
+ c, z( ]; V/ p% [! y1 g" \ recolor-turtles$ p! M, b j. i1 a
if ticks mod grain-growth-interval = 0
, k7 Z0 W! P E W8 R' m7 V [ ask patches [ grow-grain ] ]# L' L6 M8 M6 c: ~
* E. ]& c- v6 P" d% o if ticks mod 11 = 01 J! O! ~& }1 H" q5 z
[ask turtles; @9 E) U# Z& ]" J! B0 m n
[ redistribution ]]
& y9 B# ~6 q6 U) f8 K8 ? if ticks mod 5 = 00 V8 N7 L/ c2 L; ]' w9 G- g
[ask turtles- `! _% C; V! S
[ visions ]]* G$ d3 ]! D4 _ K: ^- _
tick) j! O7 \; ]7 P! Q$ s c) O7 i
update-plots
, s* z& K+ ~' e( c9 L* m2 kend. o; H$ ^% k5 `/ n' P
to visions
; O: c1 F$ g; S set vision vision + 1 7 ~- w3 O+ N7 r3 f& i) c+ D3 p
end
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$ b/ S3 T6 B1 C6 \8 X
1 d+ m" q2 \& i1 \' {to turn-towards-grain 1 m; t$ J- o0 c7 c7 \4 B
set heading 08 B+ }* z- k; m, u9 s
let best-direction 0
/ }% @) L) k; h5 H let best-amount grain-ahead
( O7 z8 J( a( ?# r! z set heading 90* j7 Q4 P7 c% I, h
if (grain-ahead > best-amount)+ n+ y \; \& }: S
[ set best-direction 90/ I( F. s6 k8 L; s+ x7 l) ]
set best-amount grain-ahead ]- D# g6 Z( M; J% {
set heading 180
) D; N- |8 ]: v" o# P1 L1 ^' b! x if (grain-ahead > best-amount)# D( Q7 v% r; W% _& g
[ set best-direction 1807 |, {3 S' I* O8 ?3 c2 j
set best-amount grain-ahead ]
- @4 G/ v! P5 Z9 r) l6 b# h* c set heading 2706 N( S4 n) }' H) X1 l
if (grain-ahead > best-amount)
$ N7 V. J/ k) l' s [ set best-direction 2705 z! ]0 {7 v6 Z
set best-amount grain-ahead ]
9 W: E; Z3 j1 z" { set heading best-direction2 Y' x$ Y1 Z9 q. l5 J
end
. v0 Y S( q* F1 ?7 i; } a3 a. N2 r4 _5 I1 a" Q6 v
+ n Y5 b! b0 s, o# c
to-report grain-ahead
1 |- X6 V' b3 G) o) @% c, v* K let total 0
& Q: c3 R+ c! o p$ _% X) j* t let how-far 13 l! r& q. B$ L4 ~. ~+ f0 w. X
repeat vision* u: W+ H3 a2 h, z, t, Y
[ set total total + [grain-here] of patch-ahead how-far+ C5 X1 M* C& J8 c, X* N" P
set how-far how-far + 1 ]# b' b. M& `; A5 l8 \. W
report total- S' _; L& u; ]# K( H! A6 I
end
7 W4 m/ |9 K6 U. ], z: X" ~' z5 b+ ?: A1 g( o7 T
to grow-grain 5 \: {+ d7 s# }) b( o/ e3 |
if (grain-here < max-grain-here)! K0 k) K. I* n/ G4 a. o1 r7 Y
[ set grain-here grain-here + num-grain-grown% i7 P- i5 T, u4 k- a9 Z8 {1 N7 n m
if (grain-here > max-grain-here) # \3 P9 ? S1 M
[ set grain-here max-grain-here ]
5 Q; b. s1 r) I# P3 x recolor-patch ]! i" z$ i* I- L" i% {- f- q s
end2 Z9 P6 R S- M/ E% }
to harvest
2 o( h$ l3 M2 `2 `$ w y/ N: F ask turtles
5 R! H; `7 {0 G( T5 }" @ [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
. B$ t, _# d2 Z/ Y6 J9 S! u7 Z ask turtles
. [8 A; z, [% }5 ^. q$ `4 }: F o [ set grain-here 0- C7 O7 D2 [. a/ z6 n
recolor-patch ]
( b2 I) \1 V9 H! l
; Q4 M" R8 {$ Hend, m% I6 d7 t* r% c
; E( b; r. a! ^ W" S2 b# e
to move-eat-age-die 9 c% L" g6 P, [' s1 r% v
fd 1) ?4 X, N2 ]6 _6 x; O
set wealth (wealth - metabolism)8 i* C; l Q: M; K( K8 q
set age (age + 1)) l* q( n3 ^, C/ @5 R7 C
if (age >= life-expectancy)
( O' S; \* l. V2 H7 X# X# V [ set-initial-turtle-vars-age ]
' f1 F) G3 z |! F if (wealth < 0)( u, u8 c, I$ u* r" l
[ set-initial-turtle-vars-wealth ]
' p9 H. A- D* Z1 A+ N
! d; F- q% f$ z+ O7 Send* ~5 \1 v, ^% Q
! `6 x; ]$ V% ^4 W; M
& y' I' ^& e. D: K* X' T
to setup-plots, O; {* [7 z5 J8 m3 Y
set-current-plot "Class Plot"
# C5 V8 x h& r set-plot-y-range 0 num-people% I' g/ v% e& l7 N
set-current-plot "Class Histogram"/ t- g. P" k# k/ _# g" b
set-plot-y-range 0 num-people
6 O! O% f- x, k2 Q+ s# Wend% p: z* C/ E6 P% t5 _8 y& |& S6 i
2 p% Q. A, k1 Fto update-plots9 z/ l. q4 Y, _* L! B0 a0 o
update-class-plot
/ N: u: V* t& Y& f! P" J ~! R update-class-histogram
, A# C. q$ k3 Z update-lorenz-and-gini-plots
: A0 \/ [% M# {$ ~' H8 Lend* y# | _: a d+ j1 e. d
: c1 r2 H _4 p8 Lto update-class-plot' D( y. {* u4 \
set-current-plot "Class Plot"/ Y1 n, [ X; F3 s' n2 F# u
set-current-plot-pen "low"( p* ]. E: [' f4 ?) N, P6 A
plot count turtles with [color = red]1 e4 f& g9 t5 _0 `6 v( z
set-current-plot-pen "mid"
; c2 q# ~4 G, a D plot count turtles with [color = yellow]4 g' z; M4 }) [5 Y6 g/ I
set-current-plot-pen "up"7 ]% b" o) e" Z
plot count turtles with [color = green]0 D" }! N# q6 Z3 m5 z* L
end
2 _$ I* G9 w) A0 `7 p
! C0 @2 q! W5 l# N5 Z% {9 x5 X% i1 Uto update-class-histogram
/ p' {, H2 O: o9 h set-current-plot "Class Histogram"
! t. _- @& ~' H plot-pen-reset
! Z, i0 q0 q0 H1 g" m) n5 m7 l% Q set-plot-pen-color red
- R1 e( ]) |, V+ A/ c1 }2 P9 l/ d. B plot count turtles with [color = red]. M0 J2 d. |' f1 S: c9 f8 z9 \
set-plot-pen-color yellow) @9 |$ V$ V( w+ ^# }9 U5 `/ f- `
plot count turtles with [color = yellow], m' p8 f& l/ t" ]2 z N G/ U& G
set-plot-pen-color green4 p: E! V w! C% M
plot count turtles with [color = green]
& F$ ?: P" W0 B# }/ \end
6 a# s( E6 e) ~8 V+ B& i" I3 oto update-lorenz-and-gini-plots: Z$ I+ P2 Z% G$ q0 ]
set-current-plot "Lorenz Curve"6 W7 z0 Q2 ?' I# ~# J
clear-plot1 z, m0 N2 ], [' L& c- M+ ?3 k: G9 ?
8 u& y! T) h1 v L4 J4 o( X set-current-plot-pen "equal"
* j7 h6 y& Q9 ?. g0 I plot 0
9 d2 P5 a+ ^0 g* y# o* }6 S plot 100
d6 K: z% p" v) T- a5 [$ J. M( |
set-current-plot-pen "lorenz"9 ?/ M9 i. Y' z5 C( @ Q
set-plot-pen-interval 100 / num-people6 I5 d* O4 n \2 `5 n8 Y; A) M
plot 02 L4 N X( B' d+ T9 V
2 ?* u3 K- F* w) [1 i8 F$ M let sorted-wealths sort [wealth] of turtles
/ j" f4 e4 K: [& Z, b) c: w# W let total-wealth sum sorted-wealths: l1 v' C0 f! t9 A5 U$ P
let wealth-sum-so-far 0' P' z- I3 H' X) ^2 ^) {
let index 0, w+ J7 Z! H( m3 t1 b0 {
let gini-index-reserve 0
+ e8 i+ u6 E& Y* C. E6 t2 X
& ]8 Y* R3 V: g repeat num-people [: V* |8 r& S, F9 d) J! k# [& C# s
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths) S4 m4 t# w. Y1 Y% v- Y
plot (wealth-sum-so-far / total-wealth) * 100( i! |3 Y" j/ ?, c
set index (index + 1)
( d2 x4 `. y. R! ~% p% z* K8 |# z set gini-index-reserve7 z- Y/ H. E( \/ _, X% N
gini-index-reserve +
6 z: n) n. O; h6 P L1 S) U (index / num-people) -7 N- Q) u, l. N& R0 C
(wealth-sum-so-far / total-wealth); \8 a( H$ J1 v% o! P/ X
]
1 t7 x, ~7 K) y* m6 y) B! W' j% }4 m& {1 q" U, \
set-current-plot "Gini-Index v. Time"
; U' F9 j9 d `$ P* A0 d Y5 H2 H9 G plot (gini-index-reserve / num-people) / area-of-equality-triangle, j* K7 q9 r0 h/ {/ f
end+ g5 I% q8 t+ V' V( c
to-report area-of-equality-triangle
, s* v8 {5 d6 V$ o report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 [! Z. T; O! e3 B2 w0 o0 x) l
end |