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 X: {- l. T) Y% p8 y
globals
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% v3 c& A. ]3 C/ j: s1 P& _ max-grain
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8 N3 C- c# h7 S+ f _" R# {+ J0 T]
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patches-own. N5 [6 {" K( u/ P% p% n
[
$ @% S% ^( G- H; ^, G( H4 R c- ~1 x grain-here 3 D% P* ]9 R. @4 l J
max-grain-here ( s$ q% ^ r4 C! X- M5 z' g$ Z
]
5 n) R i1 I& |) f5 d( D; {
( }* j& x1 z' q4 Z" r9 Kturtles-own; p1 T* N8 @8 h$ Y3 [8 B
[/ \$ u$ d7 G. z' m* U. p2 ^
age
- B/ o3 N4 N; x9 K& k. X wealth
9 T3 z& z$ D* M2 _- z: W8 n% E. @ life-expectancy
( |2 l0 ]' z) G2 x8 z q7 W metabolism
; S- g% [, Y8 J2 R0 o% c vision% o5 C L( f, Y1 j& g
inherited
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to setup/ ]: m2 n3 F |4 c$ f6 H: m$ c
ca; M# a8 i# |1 X/ R
set max-grain 50
2 d: A6 b, p$ G: x2 S) _ setup-patches2 d% H2 `, l' e, o M( E
setup-turtles3 b: A8 _. W# X# \' D; V- E
setup-plots
8 E2 A" p% M/ R5 q6 v0 c2 t8 d# I update-plots7 [* D2 f4 T K' [8 F
end; g) \7 J; q! m0 Q
to setup-patches& |; D4 g8 X" Q9 d+ I, `) C
ask patches, B1 B& M: {& |0 f4 `* y* g
[ set max-grain-here 0
5 h* b0 o/ d% K5 j2 s5 N4 d+ e, P if (random-float 100.0) <= percent-best-land
! h8 M& U! w) F1 K& N [ set max-grain-here max-grain
) q0 [7 _ Z. V7 ~6 ~. S) | set grain-here max-grain-here ] ]. p+ U9 G S/ e7 j0 I
repeat 50 W$ u; e; f: o; i
[ ask patches with [max-grain-here != 0]8 e* r( P. p6 _! N/ S
[ set grain-here max-grain-here ]
2 ] e4 P* p' v8 p9 z2 Z; E diffuse grain-here 0.5 ]
3 a2 y$ c" M: ^; Z0 E; V repeat 102 J$ y) E" V# a
[ diffuse grain-here 0.5]
) C2 V N# o- E. @, B1 H ask patches
1 Z6 e4 Y/ l; P; B; Q' Y! z- f% [' C [ set grain-here floor grain-here ( j+ X9 o* B: m: X+ s+ a
set max-grain-here grain-here 3 I' X) Y3 U2 J+ w; Y# G) x$ S5 h
recolor-patch ]
3 t% [5 r8 ?( S+ _9 |0 v/ gend
( k* D! R7 O9 o0 l, P: I" pto recolor-patch 0 Z' ?6 `6 s8 I2 ?# `9 f
set pcolor scale-color sky grain-here 0 max-grain
7 x: i4 z( s& k, Nend
0 h, b! K7 i% ?to setup-turtles& t& m; G& u$ f1 z
set-default-shape turtles "person"
- p u% _# Q+ I crt num-people2 _2 w* A) b l5 ?7 A( N
[ move-to one-of patches & B# k9 A7 c6 H h3 h# U P
set size 1.5 F5 n# W$ S* u
set-initial-turtle-vars-age/ [9 Z! g1 W U1 R4 _8 ?! E) k
set-initial-turtle-vars-wealth
) K% V: A4 z2 x, m set age random life-expectancy ]
/ F0 f# {: h0 w. @9 ?9 O recolor-turtles
0 A& O" C/ g0 L8 Xend9 K+ @+ g8 |/ H4 ]! c
1 F+ f; u5 }' x$ N: L, ito set-initial-turtle-vars-age/ F, r9 D- O5 Z2 n7 K* u; G' w6 N7 q
let max-wealth max [wealth] of turtles
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o! g9 i8 `$ G ifelse (wealth <= max-wealth / 3)4 P7 o- r$ e, P3 ?' p
[ set color red
# _3 y# j- U/ a, J }5 ? set age 0' _7 d7 Q& k! S. y. O7 Y
face one-of neighbors4
% Z. K0 Z1 [- F0 V6 k8 G set life-expectancy life-expectancy-min +0 P+ y8 _0 x$ I) i
random life-expectancy-max
6 R+ u9 T) Q' Y0 _% } K set metabolism random 1 + metabolism-low
( t! l: t9 b9 g- o2 e+ a! V, L. L set wealth metabolism + random 30" H4 V, r+ ? }7 q, A
set vision 1 + random max-vision: A, I4 u" Z+ o- x# t% w
set wealth wealth + Wealth-inherited-low ]+ `6 R/ i2 u, m* {8 k
[ ifelse (wealth <= (max-wealth * 2 / 3))
- D2 h6 a- t# Z+ } [ set color yellow
* U$ g: J* N% y, l; l1 z9 t set age 0( ~2 v- B, z8 G
face one-of neighbors4 & d& Y: O7 q" y i
set life-expectancy life-expectancy-min +
& f2 r* f8 o! C+ R' h5 X# A9 D random life-expectancy-max + 15 ^- K: }% a4 g2 C1 v6 L
set metabolism 1 + random metabolism-mid
9 i8 Z0 @& t: y5 {2 O8 y4 w9 { set wealth metabolism + random 30" V# k0 x% _ [: M9 |2 t. X
set vision 3 + random max-vision/ e. `2 ^0 w2 G+ ?+ B7 a
set wealth wealth + Wealth-inherited-mid]
, W' }$ U7 p7 |9 C. S4 y [ set color green
- w/ I& }: m) D. S& O7 ?/ R set age 0
* H+ @# l5 Q+ Z% E% z face one-of neighbors4 ( U' o- G$ y5 Y
set life-expectancy life-expectancy-min +
- e4 w4 {0 j- u) S* I2 t2 t) L, Y& N random life-expectancy-max + 2
3 f( N. G" Q# r6 h/ h set metabolism 2 + random metabolism-up
5 Y/ {( O2 d' p4 s7 |& d0 K- D set wealth metabolism + random 30
* G5 P( G/ }! L' A6 `8 _. d/ T set vision 3 + random max-vision8 ~- O: y; b5 m- O2 T! m5 k
set wealth wealth + Wealth-inherited-up ] ] 4 G6 H( T* \ S: i9 g2 L
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end
8 `$ X4 Q q5 _3 qto set-initial-turtle-vars-wealth' h$ v3 `6 [+ Z
let max-wealth max [wealth] of turtles& o% L9 q4 ]) c# E
set age 0
& {; U- X! x8 l/ X/ w2 h4 m! t face one-of neighbors4 " y$ Q' F9 M" d9 T
set life-expectancy life-expectancy-min +$ [/ U; E# W; w# e2 s6 e! J
random life-expectancy-max
2 J- d+ U' I( V; ~* J6 x P set metabolism 1 + random metabolism-up6 U1 ]) s; [4 |* F' L1 S0 F
set wealth metabolism + random 30
6 n& ^9 d t5 W9 e) K8 ] set vision 1 + random max-vision : w% ~& y# ~5 S
end
$ c1 P; s6 I- R# p" K/ E6 j0 nto redistribution
( q: \5 _* Q' C% V! Wlet max-wealth max [wealth] of turtles8 v+ F# S' E/ X6 c: R2 Y
let min-wealth min [wealth] of turtles
; J4 D9 T; v: l& \, g" s7 ~; r+ hif (wealth <= max-wealth / 3)
% n: E$ F* ]! q" ?% u [set wealth wealth + Low-income-protection ]3 B2 K. S4 f: `. B. m- U" G0 l
end; Q: n/ H+ q$ Y1 u+ T- H* D8 w
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to recolor-turtles* E/ ]! [9 h* V) _: p/ m" r
let max-wealth max [wealth] of turtles8 f8 v- T6 t- I: ^9 Y+ O; f
ask turtles
" [7 v% v! j/ _6 i [ ifelse (wealth <= max-wealth / 3)7 f J1 A+ X, l6 \8 i
[ set color red ]4 d5 G7 |# M" Q' i9 c
[ ifelse (wealth <= (max-wealth * 2 / 3))
1 c" {( m# {% y ^- h [ set color yellow ]
6 G9 j# W$ g' V/ F/ r( Z [ set color green ] ] ]4 ~( i9 P( z U* n5 f: f
ask turtles [ifelse show-wealth?
j! `3 x6 a3 Z6 I- c) d [ set label wealth ]: ~# D8 i) T! R( |- G
[ set label "" ]]
+ \: f8 N' c a6 s2 @# Z; g4 hend- S, g8 E/ z, p) h8 _' |( \- _
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ask turtles" E3 z; r% Z" d7 P3 t
[ turn-towards-grain ] ; T4 o e5 _" E w$ v( U
harvest& ~; T. z# q' w7 u5 x* t9 t
ask turtles( F+ q- ~8 Y7 r
[ move-eat-age-die ]% e* D) e7 i0 }" H% S9 i( R
recolor-turtles
2 d( F5 y" O' l; Z4 R2 ~* b! X if ticks mod grain-growth-interval = 0, j6 V, J, [, W' @
[ ask patches [ grow-grain ] ]
/ {6 X1 y: Y/ h3 ? . [; x* x+ t, @9 O c( l
if ticks mod 11 = 0
# Z! b: Q* G) l9 s) | [ask turtles
! \" s* g9 p9 c$ w. g) ? [ redistribution ]]7 c; d& A! j. h% F: @& B
if ticks mod 5 = 0
- Z0 }; l u/ ^/ \& E+ k [ask turtles
4 w& _# I# F- S [ visions ]]
* g' [! u- b' V2 Z8 q) d& o tick
5 V/ a7 S& F3 Y( v/ L4 ]/ K/ n, m update-plots
6 n. i& `3 L" z: Qend
& x! l6 ^0 {1 K' x& \! d; a8 Oto visions1 P+ ]/ G& k& z( S( K% Q
set vision vision + 1
2 G7 w" `. g2 T8 i/ U$ N; _end8 `: }3 Q; P4 y3 K. Z
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( O: M }, |; ?" Dto turn-towards-grain 8 w$ q! P& G: N
set heading 07 R6 G) Y2 P+ J
let best-direction 0
+ [* M! D* O7 u2 u0 d let best-amount grain-ahead
# F5 e0 d1 I- [ B4 @ set heading 909 M, y1 v' `) [* N% e& Q0 ]
if (grain-ahead > best-amount)
, F: T! m( c8 f8 S- \ u [ set best-direction 90
$ i1 p$ X3 @3 |; T s, Z( J* u7 b set best-amount grain-ahead ]$ j' b. J1 h$ ~0 k2 k2 r! Z- u9 L/ l
set heading 180- D3 ^- {! y8 _% B3 x# V" E1 b4 y
if (grain-ahead > best-amount)( p+ B' [7 ~! x" i% O' [6 N; |! d
[ set best-direction 180
. V3 i! e+ @! |& x( P8 b, { set best-amount grain-ahead ]
0 g% g3 a. ]7 j) j( T set heading 270
& f: D8 r& h' R7 H0 X+ X; L if (grain-ahead > best-amount)
6 d0 l2 J. H) n1 d: L [ set best-direction 270- ^2 n0 [0 M/ c
set best-amount grain-ahead ]
: _ R& _# q2 f2 S+ o set heading best-direction' a2 w# r3 g0 I% _" r" W
end
8 I6 Q. B" R8 S9 i$ j9 }- c" p! p. W( Q# C
# v0 E4 i# r: Y' J+ g. Ato-report grain-ahead ) p3 `) Y, }: O6 t {
let total 0
0 ~- U0 K7 y. Q3 i( `! I \1 Z let how-far 1
' d4 h0 ~8 S6 k repeat vision3 M# D; n# N+ Q$ Y, L
[ set total total + [grain-here] of patch-ahead how-far
2 H0 s) f l1 L; U+ i set how-far how-far + 1 ]
" Q* l6 W" O5 r report total7 p- J, u D5 K+ Y: R7 N
end
! D3 | Y0 W7 _# s( l
. J8 F3 W X' Eto grow-grain
( ]' s; w9 W" A' w. U& u if (grain-here < max-grain-here)# }& W3 l0 ?: H3 J5 N: e* ^$ G
[ set grain-here grain-here + num-grain-grown# @% E- |$ O6 G7 S
if (grain-here > max-grain-here)
% _7 t" e' S: b: B& [9 T- T [ set grain-here max-grain-here ]! B4 N2 f/ @8 u; o
recolor-patch ]0 X0 c% a5 i) `/ m9 R- s3 o
end% N2 O3 B9 T; S3 }
to harvest
! p4 X& K9 w7 c# ^2 [ ask turtles
* p' r) M1 i" c$ \3 G: ]: M [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ |7 T) Q! ]+ U+ U- \: ` ask turtles
5 M2 Y4 j" E/ J7 m/ K [ set grain-here 0- t% E8 {' L7 @% g/ f, V
recolor-patch ]/ D& [" _ M; @& Q4 R
/ r5 @ j2 k/ _$ W- Vend: a* l0 m/ T U7 _
4 a7 C6 t$ N! x6 i
to move-eat-age-die
3 X1 w& p7 i" y% {7 U+ e% O9 c- F( T3 d fd 1
8 u; e7 ~5 O1 B3 o5 }$ b/ c4 [9 i set wealth (wealth - metabolism)3 n2 t& A+ d; o
set age (age + 1)
; N% Q+ R. a1 k. s5 L% T4 L- W3 a if (age >= life-expectancy)1 [% b: m7 n ~2 K2 f6 d
[ set-initial-turtle-vars-age ]
( |4 \+ U J9 k& @, y; f if (wealth < 0)
, B, @+ @, r- S0 B; L [ set-initial-turtle-vars-wealth ]5 ?7 ^) m+ T! J. _
# A3 B0 I* B5 q) D2 K) ^: y& Z9 Jend
# y5 v; k/ c5 x3 n$ P+ J1 g7 Z( o: P! K% f" E
4 ~; X$ e9 P* [, p) s) r* w+ Q% S% ito setup-plots4 M6 L% K$ s' T; `4 ]* N2 U
set-current-plot "Class Plot"
5 ~+ G! F7 t& A. g' `! @ set-plot-y-range 0 num-people
, J: N7 g8 Z: t, l0 X: B# n' A set-current-plot "Class Histogram"
" \3 |$ M& G% c, i; Z set-plot-y-range 0 num-people
( _4 s- q: A0 G2 T2 Dend' a+ y, c, o2 o: {" E, W% {& ~" S
6 ] C; k- a# y# O8 S' f% yto update-plots
$ N$ L# M$ {; n9 K9 o i update-class-plot5 R/ o1 s( |$ \( y$ L( E
update-class-histogram2 B, ?% g( h+ g, a) B5 y
update-lorenz-and-gini-plots
. U0 U# u" o4 M8 E. P' D, L! wend
+ v4 N! t+ b# i- t( G
. o$ u0 c" R* B7 l. kto update-class-plot( S$ M2 @( j% L. s" Q
set-current-plot "Class Plot"( F' x( ]* @6 k8 u) A- ]
set-current-plot-pen "low"
# Q ^" u0 I7 Z9 B. F plot count turtles with [color = red]
% w9 q, N( [6 F x% X0 K set-current-plot-pen "mid"4 U( F0 {- K) g2 s6 ~# b
plot count turtles with [color = yellow]
6 J: y: ?' i! y0 f) B8 C set-current-plot-pen "up". D& m; V" p3 T J; R1 j5 d8 t+ w1 Z
plot count turtles with [color = green]
# q; ?* O% H- {( `" d" Send
5 W: D6 f; ]( ^/ O' t3 u/ Q S# w& U
to update-class-histogram
, A* R! [# ]. w1 k5 \. K. d8 Y' ?, K0 K set-current-plot "Class Histogram"6 h X" F* ?, l7 `$ o( \8 z
plot-pen-reset
& s: ]0 f4 i- G4 v) I% E) i; b; Z( t set-plot-pen-color red
4 l$ w) {' W [4 b% k- F3 J plot count turtles with [color = red]
# Y G& b0 S4 R* C! Z. I7 X set-plot-pen-color yellow( X" s9 ]- c! T8 d
plot count turtles with [color = yellow]
/ D9 f5 P# s5 K8 m$ A% o set-plot-pen-color green
4 @& c6 y" g1 Y1 y# L" l& S plot count turtles with [color = green]
% t* @7 b y5 Y" A! j0 J, H# ^end
9 M* O2 ]2 q, a; ato update-lorenz-and-gini-plots
+ v8 y3 K2 X& u7 g set-current-plot "Lorenz Curve"
% ~0 I0 k. X4 z$ w) ]( f clear-plot
. D' e8 X/ B5 D3 e
; \& b% l8 t* g+ n- M& w set-current-plot-pen "equal"" d3 k0 C8 Q# d4 L# h( p* S
plot 0) j% r1 P8 @- L( E5 e- T% i2 N
plot 1000 u( k# b# f- e% Q$ X
: Z, I9 F% @/ h- `1 @) `
set-current-plot-pen "lorenz"
( d4 G/ t4 F* c" e set-plot-pen-interval 100 / num-people
0 U9 J5 h' W. }% g" x+ Z- Z i plot 0
2 x+ P. W: M7 N
0 c. N- C0 J, Y: @2 i+ R/ m let sorted-wealths sort [wealth] of turtles
5 _/ ^9 i' @; I( U let total-wealth sum sorted-wealths' \- g, T7 {+ m4 l, f5 Z
let wealth-sum-so-far 0
% }& x* |) q- d let index 0% {+ b. H) O% ^* d, M
let gini-index-reserve 08 W8 X: p0 n( z% M- B L" E% v
7 W1 {7 ^" A+ z/ W- A
repeat num-people [
& _7 j8 ^1 b, Z- ?+ G, l4 g set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
. u) b" c; X( a( Z9 R/ t9 u plot (wealth-sum-so-far / total-wealth) * 100
/ L2 K# Y; P" w- Y7 b, v set index (index + 1)7 E$ A: o9 J# v1 S/ ?( ]( A
set gini-index-reserve7 g% M9 v/ y! g: R# K
gini-index-reserve +9 K6 U. V) f+ b- q) P. Y2 x
(index / num-people) -
1 K$ `0 c- y4 y; t (wealth-sum-so-far / total-wealth)/ G z6 O6 _5 T( h
]
" D! j+ v- C2 R& g$ X8 @- |: d$ u0 D$ a. D% J
set-current-plot "Gini-Index v. Time"
7 z0 J1 M; x/ z% Z9 p plot (gini-index-reserve / num-people) / area-of-equality-triangle2 ~2 ~8 Y* C9 g9 S2 {
end" C) @, e/ Z7 S% y# i; W
to-report area-of-equality-triangle
7 p( ?' C7 j: |0 c$ V report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
# r+ H- ^; `) ?; ]) R3 c" Q1 C, k4 @end |