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4 |2 Q" C9 h: V% p9 o( r' {4 G
globals; D [2 { C9 l! w/ q! e& }! q/ x
[+ J# D2 o4 ]2 U6 V- m9 W# s) x
max-grain
4 d) I; E9 x, V5 X/ q0 N) r* d5 Q- r3 M/ U. B+ k& I- V
]
( f9 E8 Y8 b- g: w
( r/ G9 o U, J7 Q- i+ _( h1 epatches-own) q8 R5 S; p3 p% W
[, o' E% d) Q- i; d
grain-here
- R: z/ E+ F" @! b/ U% S: X! @1 } max-grain-here ; z/ e6 p, }* j( q( w; d3 i/ W& T
]9 X. `) j# t- S
% F. F3 X4 F K2 d7 qturtles-own
% d) y, g* ], |9 Y[
% X6 v7 u; m) @6 y* H age ; l! w& s: T! ~2 |2 ]) P+ O& F0 I1 B5 F1 U
wealth
4 R2 P0 G/ [% m life-expectancy
7 R3 [+ C* j0 e- t, U2 | metabolism : n2 Z& z9 ~2 ?, }& B k- E
vision1 c2 E3 x2 f& A% ^( w: L
inherited
. |, X+ @ C: A" v0 I9 V# n [+ ~! h]" g$ b' d% z, |; O" c
( D6 C, _7 L0 |3 M3 d
# U# h+ Z' H8 F8 }1 hto setup5 ~6 }% f0 e7 H" o& _% Z* x
ca5 i2 ?; m/ F' k1 L9 q
set max-grain 506 C( K% [% B( o" w+ J/ J" m
setup-patches' w5 B3 r9 T% }7 g( J4 Q
setup-turtles
R9 a1 W6 t) z1 Q+ ?8 h setup-plots
5 ^: I" x3 V2 G) o5 |2 C* @ update-plots7 @' a w; T6 {
end( i* q" R* f8 A& q' c J! f
to setup-patches
8 [0 j5 k/ K: r$ W7 [5 j( \5 l8 F ask patches" v |3 f* D" j0 j/ I8 i
[ set max-grain-here 00 ]# s q3 I: X* {; l- }8 m
if (random-float 100.0) <= percent-best-land
0 ~ q9 r+ B7 ^" y6 L' l8 }" X8 a* P' I/ ^ [ set max-grain-here max-grain$ r' b& W, z6 w2 D, K! A. ^, S
set grain-here max-grain-here ] ]
5 o* q6 O2 P- B% d. n$ K% h repeat 5
; ~/ R# k! G7 M5 Q [ ask patches with [max-grain-here != 0]6 K' T0 Y% @( c" J: n
[ set grain-here max-grain-here ]+ _; J' r: \. v, W% l* n# Q" S
diffuse grain-here 0.5 ]7 s' B8 A+ s% \
repeat 10
' |# x$ n' o/ j# Y: ] X [ diffuse grain-here 0.5]
5 @; ^$ w9 Y# ~5 U3 C: I ask patches5 Z9 R: {4 |3 s) b) P2 S+ ~ _
[ set grain-here floor grain-here
8 g* s [+ ]! o9 V set max-grain-here grain-here
7 F. |/ A9 U/ C6 `9 n recolor-patch ]
$ |$ p+ @4 ^% u# X% u2 ]/ fend$ Q( ~. O- v# i) K
to recolor-patch
2 B- B: G4 O$ a% f2 K set pcolor scale-color sky grain-here 0 max-grain6 L1 w: O+ M* v! O
end
w) w J8 x7 y- C& W$ Y5 q; |+ Tto setup-turtles/ ^# v7 T& a R
set-default-shape turtles "person"
. f; D& B+ o* U1 ~; ?8 ] crt num-people
# L9 @$ r, _& \9 {: d4 |' v [ move-to one-of patches
' V9 h2 O& ], c8 R( _" p set size 1.5 5 ~/ y3 ]+ w- }: z" ]+ m
set-initial-turtle-vars-age
8 J, K) c' ~' g. s1 l- R# D set-initial-turtle-vars-wealth3 f1 }/ y1 q. ?- O' I: x
set age random life-expectancy ]
& @# R# Y4 L3 d/ n, }: y \) ? recolor-turtles
- g1 A' o: \; f- Y- Pend1 P2 i; U( w0 D8 M/ T8 c* n+ {) t& K
& Q2 ~- |% I* S; N9 P H; @
to set-initial-turtle-vars-age, s+ H2 N+ \8 R0 |. e, q
let max-wealth max [wealth] of turtles1 p- B5 ~9 r6 C0 ^/ D. }0 N+ a
6 O9 T, f. B+ a, }" Q0 c( [ ifelse (wealth <= max-wealth / 3)
8 o" L- n* B) ~1 i$ m) O* f7 E [ set color red
9 Q. w2 E) |' A# o* `4 {" c0 z# r set age 0
{* D; a: R# z* u" C face one-of neighbors4 7 A2 ]: f7 i" V% _) `/ L
set life-expectancy life-expectancy-min +$ ]# d) _" t' t8 t
random life-expectancy-max
v' P/ z1 ]% f; [( F set metabolism random 1 + metabolism-low
% M0 ]9 K2 z8 D set wealth metabolism + random 30
. h/ z$ H5 T2 b% o set vision 1 + random max-vision
3 Q# M/ o' _, R5 H. K. @ set wealth wealth + Wealth-inherited-low ]# W. w _9 I: z0 a8 y
[ ifelse (wealth <= (max-wealth * 2 / 3))
" X3 P9 h& f' b" U9 g [ set color yellow
( n1 e, [# [5 X, L, n/ h set age 0
- N2 N# X3 E" F4 K9 A! Z8 w9 c; J face one-of neighbors4 ' q. P8 K7 H6 e2 u; L2 @
set life-expectancy life-expectancy-min +9 w5 e1 X s: a$ \% V( ^% P6 p
random life-expectancy-max + 1
0 }: p4 L4 t) l) P% I* R0 U: Y set metabolism 1 + random metabolism-mid
0 Q3 }3 k+ z R) s6 I3 \# K set wealth metabolism + random 30
0 I4 _3 H5 k8 W. B& T set vision 3 + random max-vision% E8 w/ P( {' T6 b" x
set wealth wealth + Wealth-inherited-mid]
, a8 ]; C) A; j. ]2 Y9 ~' ]( M0 j [ set color green 0 G. G: R. N+ Q8 g O0 p$ }9 s
set age 0
9 H1 g0 T4 u2 @6 d( x face one-of neighbors4
& X; K1 z: W- X set life-expectancy life-expectancy-min +
0 w# P. O; b' F4 \# D% ]( b8 S random life-expectancy-max + 22 `! w/ R' P% }5 i! [7 P5 T
set metabolism 2 + random metabolism-up
+ j% N6 u3 }( r; q$ n set wealth metabolism + random 30& c9 A1 n0 p& R3 C9 i, e
set vision 3 + random max-vision
- {4 y- _, F) [4 y: l: W6 T9 t set wealth wealth + Wealth-inherited-up ] ]
1 @0 _0 q, [- J/ p
+ X u3 m- I! n8 J& Vend
, E2 c4 V9 Z: Q% A5 ^ t& F5 Lto set-initial-turtle-vars-wealth
7 \. p' i' b" x2 X let max-wealth max [wealth] of turtles
3 z" C1 K) a5 x/ \ set age 04 [' q9 m+ K. m- y7 ^, C, ]
face one-of neighbors4
+ ~* @8 V2 h- l4 w( K& }, ~ set life-expectancy life-expectancy-min +0 P0 L2 `( j5 V0 `' o6 D. _0 x" r- o
random life-expectancy-max " G0 g6 w3 T/ M2 o8 z% B
set metabolism 1 + random metabolism-up( R6 W `! i5 M2 e5 Y9 L2 z F
set wealth metabolism + random 30/ Y$ {1 B) Z0 Q. l, I7 `) m
set vision 1 + random max-vision
, x9 H8 i6 ?6 |& H& |end
_, _5 D* a+ a! p( J& T+ u* uto redistribution# T' Q8 ~) o J4 m5 |( q; D) R
let max-wealth max [wealth] of turtles
: y. Z5 O; B' k- k( n) F- X+ i9 xlet min-wealth min [wealth] of turtles1 O: a4 J% \! s0 M
if (wealth <= max-wealth / 3): K: r' l" A5 U8 `+ m. ]7 e
[set wealth wealth + Low-income-protection ]
* p1 Q+ @+ S% A: U6 K. p9 eend/ w3 `, T1 s5 H) H% z: [" K& {2 {
/ l; J# y* J" ~( n9 c- Nto recolor-turtles. Z0 r% Y. p! b5 O9 q% [6 |
let max-wealth max [wealth] of turtles+ [# I7 q, }7 D1 I4 ~+ W" F$ M$ h
ask turtles
b$ F% @+ P8 P; D [ ifelse (wealth <= max-wealth / 3)' b" p. v* j; A
[ set color red ]
/ H1 | d0 l) w1 P) _9 m# q* J [ ifelse (wealth <= (max-wealth * 2 / 3))
4 ?' X9 c8 G% X, ? [ set color yellow ]7 |8 M$ `& K# a# m; V
[ set color green ] ] ]
! ^6 o% x) t6 u- v ask turtles [ifelse show-wealth?# z! `: U) L! U( \2 m3 y4 ]+ m
[ set label wealth ]
- u. C) o; B4 ]$ Q [ set label "" ]]" e, @' D# L A% ]( x2 U
end" T" e' ?: w9 s6 V
8 k5 C" X5 R) H/ Z2 `2 f
to go
: q2 _' |: ?. \ ask turtles
) W2 Q3 b" }- u, f6 D7 ` [ turn-towards-grain ] 8 ]6 w9 D9 m9 a& x6 y
harvest
; I/ J( ^' I) C$ j! C: N1 s) W ask turtles
: F3 f) W; @% u" D4 O [ move-eat-age-die ]
- [! n. j$ }4 n recolor-turtles8 O6 M: n+ E3 g) x6 l5 a% W
if ticks mod grain-growth-interval = 0# P8 p0 b1 Y! O& e: {9 _ g8 c/ c
[ ask patches [ grow-grain ] ]8 X, U8 B( S7 U# B4 X' Y
2 S8 c/ S6 o. v+ [; A3 T if ticks mod 11 = 0# Y9 F" O' S# `) E" u
[ask turtles
) a0 ~1 o0 Z0 ?/ F& s1 v. w0 H8 R [ redistribution ]]6 i2 E; o6 ^5 {% r% b' c$ `1 e
if ticks mod 5 = 0
; f/ H0 Z) ^: M! Y [ask turtles$ H) q" k) e5 ^. q5 K; f0 V
[ visions ]]
# x5 d4 d* C* ] tick
k ?$ j" t* H2 p0 U3 G update-plots+ d( m$ ~5 e' Y! C8 z5 J
end
. R5 k- Y& Z8 Bto visions
- |/ a& j! c9 Y$ o0 m set vision vision + 1 & A* E. ?* x7 v- @
end
& Z1 Z3 q# ?, t" m4 g" v! _9 z% P
# {, _0 r; \2 E. I9 M5 S, b0 D d3 z" s; G" O ?
Z; A1 p% t6 p1 h/ ]% n" R* w r4 \
to turn-towards-grain
& g5 b7 h& o) _+ F set heading 0
9 ]* }: g2 |4 Q1 m5 ~3 _2 l; o- ]1 o& q let best-direction 0
$ x8 J+ K2 w- i' w/ w( Q let best-amount grain-ahead
- Y& f; a0 |# K- ^- g+ p. y set heading 90
3 j% Y: P3 Z) |# d if (grain-ahead > best-amount)
' o& t6 D9 \6 I [ set best-direction 909 ] Z9 @+ e1 d4 ?" Q# N. f
set best-amount grain-ahead ]- j, S4 T% F; N8 X, d% u2 J6 f
set heading 1805 Q& m" p V3 w, i6 v6 h& M. ^1 \
if (grain-ahead > best-amount)
, q2 f- c) K$ X; D# { [ set best-direction 180! Q6 A& T7 Q) F; } z" A
set best-amount grain-ahead ]! ^9 p* H6 P8 U2 o/ o
set heading 2703 f$ u- y: G& k+ K# n' }3 \
if (grain-ahead > best-amount)
0 H, U7 P# H9 ^, x v [ set best-direction 270- f* C* r% g% `8 D# f; w' y
set best-amount grain-ahead ]0 t1 ~$ d* E v8 w7 J; ?
set heading best-direction3 @4 O! \$ z/ Z- ]) p6 N6 c4 R4 Q
end; V+ u! i- b+ H7 g
' c! Y9 T/ j& ]; J7 m) \5 ^
; N5 { a0 `% g" H
to-report grain-ahead 7 A8 g2 H# ]" P7 |, `* a
let total 0
! v' u/ {# ^! Y8 `: [9 X7 g let how-far 1! p/ z( r& {( \9 z' j2 K# a t& g
repeat vision8 O5 O d9 A! g/ R7 Q/ W
[ set total total + [grain-here] of patch-ahead how-far; U1 q9 [6 ?' a8 Y# E1 e5 @
set how-far how-far + 1 ]# _% G1 Q$ a# N- |
report total: I+ t$ s9 |6 p; i) \" W
end2 I* j, z& [ ?
: ?( ` p# S$ y- M6 N7 yto grow-grain 4 W. E. Q4 \4 a. }8 h p7 b: s
if (grain-here < max-grain-here)
1 f7 G. ?) h& J [ set grain-here grain-here + num-grain-grown( b/ i% ]6 h) U F$ L
if (grain-here > max-grain-here)
6 o' x$ }' g j$ z1 [1 f7 Q [ set grain-here max-grain-here ]% Y3 F2 N# n& l- E' {9 Q- u
recolor-patch ]
+ O/ b0 J6 o) x s" i- yend0 E' w7 u* a& j0 b4 f& u
to harvest
0 p! I) k: ~% H2 W$ Q ask turtles
4 W" w- t- h, X3 C5 W [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: E5 k( E" f6 V+ [0 @0 `
ask turtles
' t' u$ h9 p3 p$ p/ w [ set grain-here 0
8 k! a! p9 ?1 l+ w+ l% V recolor-patch ]6 g3 y: i/ B) Q6 G8 Q% p/ E
( ?, k! X2 R. t/ A9 y4 H
end$ S/ C1 z- a8 j! z" O( ~% Q
i4 b# H' E$ p$ A2 s7 X
to move-eat-age-die * [4 q" y( ~& o# q6 D6 D/ ]
fd 1
5 A+ x j" F. G5 J* `0 C set wealth (wealth - metabolism) ~' O3 P M* ], J
set age (age + 1)7 g2 p& X. W% l# D2 c9 \
if (age >= life-expectancy)
# y/ `% I' h4 s* B6 K1 C! y [ set-initial-turtle-vars-age ]
: d6 a4 V$ E d" H if (wealth < 0)+ u" S$ O6 `* _$ n/ z
[ set-initial-turtle-vars-wealth ]
6 k' V- C. p, S7 A9 V) C/ i" n# k1 [
/ e; p3 }3 \3 n# L; Iend
! c8 O7 i q0 H& H* u: h: N0 b$ t( {* C
+ j' u# K0 A+ F: ~, B% W6 \to setup-plots" F r O5 [7 H( B* ~5 @$ L8 v
set-current-plot "Class Plot"
$ s. e1 `3 w7 {( B/ m* v set-plot-y-range 0 num-people
6 W3 V7 q9 r: k8 q set-current-plot "Class Histogram"
; \* M8 o0 |" F; g L set-plot-y-range 0 num-people7 K4 Z! h3 k" Z& g2 j" ]
end
, H# E! d0 T3 @; C; l' g1 A- C4 o2 m* J$ |7 a8 E
to update-plots
], v! l: c8 P Q- Y, h update-class-plot' ?2 O" P8 s+ L6 S$ M* O- Z4 D
update-class-histogram
" a8 U3 ]' t7 `0 j, G update-lorenz-and-gini-plots
# E3 a! ^% S6 B4 T+ u8 jend h2 J- W2 V. h, v) a
+ Y( [0 ^3 @/ G: h
to update-class-plot
9 e+ g, v% W. x$ Z! I* m4 C+ C set-current-plot "Class Plot"
6 f! z4 [6 I' P4 k set-current-plot-pen "low"- B; b8 G" [6 f6 H
plot count turtles with [color = red]) w3 F; x& }4 L0 f/ O
set-current-plot-pen "mid"/ ?: B+ V$ E# r4 c% C+ q% g
plot count turtles with [color = yellow]
: j# |6 |: I5 D' H set-current-plot-pen "up"5 R2 o" w: @; P3 F+ S, n) {
plot count turtles with [color = green]: ]" B( q; z: q2 \0 c
end
. R8 k' K W' L- b
" i, ^& b. c _1 |* v& Mto update-class-histogram
. \$ {, z) u X/ k% h* P N3 A set-current-plot "Class Histogram"
% _0 _# V& q6 q! J: s plot-pen-reset
. t1 u* @: m1 S U9 c. d* N set-plot-pen-color red# t8 ? y7 D$ {1 V, O
plot count turtles with [color = red]* }3 T" z2 ^0 d1 E$ `, J8 H
set-plot-pen-color yellow9 c/ f3 T/ X+ N! J& I7 K! u
plot count turtles with [color = yellow]
( q/ M0 d, m5 l set-plot-pen-color green
; i$ m. p+ o8 w- H& K; L* q plot count turtles with [color = green]. N0 k5 i; ?$ z2 O ^; Q0 @
end
4 f7 i j0 C2 [2 Qto update-lorenz-and-gini-plots2 O, C' u) c4 a5 S/ T
set-current-plot "Lorenz Curve"# ~3 n# Q- A8 J, {
clear-plot2 ^( m6 H: F: ]( r+ t0 G
. o0 b2 O0 \2 E' E W! U
set-current-plot-pen "equal". R" J- G+ C$ j: g3 T; A
plot 0
. y! P1 |9 x, v1 m. J. ~ plot 100! Q/ b- t) k# z {8 i% v4 Q! ~
1 K% r( v4 G5 h3 j# i7 U
set-current-plot-pen "lorenz"
) i3 O% _. S k8 R3 h- ~( K set-plot-pen-interval 100 / num-people
6 A' p( K) l- r' m4 P% l" r plot 0
- W& k$ f2 d8 c! O* G1 i1 _& P7 Q( T. ?
let sorted-wealths sort [wealth] of turtles
4 G7 V ~" M/ k8 T let total-wealth sum sorted-wealths
2 }4 B! w0 F8 t let wealth-sum-so-far 0& D) O* I8 J/ A& d) a; Z. d, j
let index 01 ~; J7 L) k( W. H& L6 c- P8 f% C
let gini-index-reserve 04 r0 p6 L+ Q" _/ ^" ?
: Q* e! B; n M8 L
repeat num-people [- m N0 d/ m+ T& e0 D1 r+ X
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* ?9 |1 K. }# X0 K
plot (wealth-sum-so-far / total-wealth) * 100
+ `" m' z- b7 @( ~7 [, X! Y set index (index + 1)+ D# Q4 j5 Z* z
set gini-index-reserve
. d* J2 v5 G: ~8 l6 X gini-index-reserve +
2 `' F. b( g6 y) z( Q+ G (index / num-people) -
' T3 O. Z, |, m1 _; u (wealth-sum-so-far / total-wealth) z7 l( e2 y& S( `8 |
]2 l3 N; p* z' c! w& E2 Z6 k
3 @# r, t& F, O; E6 C4 g set-current-plot "Gini-Index v. Time"- h0 b4 t* [8 \8 F- B! u
plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 x( I4 y) j% Q8 Xend
0 @, N% M _2 j& Q: i# Gto-report area-of-equality-triangle" u- X9 j( @$ c% O7 X; ]+ A1 ?
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 d, ]0 h7 p3 ~" v. {$ a6 K; L. Xend |