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7 I/ o* Q& G$ ~0 f) C8 j) \
globals* |5 ^, l$ F; x! q$ b4 A
[/ O' M" G* M% `! D
max-grain 5 m: _3 d3 s3 A6 e" u1 B7 a2 d4 E
) u' ?7 x" j, Y: Z0 X& |. P
]
" w# @, X: h& M' p+ V% ?; q4 N* M2 \3 Q& M. H" r3 V
patches-own
% N" s D" D ]% `4 ^: ?[
- ~/ X# }* K9 g" W- i# W: i; R; R3 z& Y7 ~ grain-here $ @3 `5 M6 z- z' u& n j
max-grain-here
8 Y& a) _' L- }]; U/ ~: E! S$ }3 C
8 t6 I' U9 G9 `$ d" G X; @
turtles-own
6 N& d C& X' `+ P$ t[
, P" E! } Z$ k age 9 q3 i5 j1 x& T! _: [
wealth
. y- T2 l! F* g* a" `. N( } life-expectancy ) |: {+ C, c2 v* S0 _
metabolism - D: o3 K9 A% k/ i7 R
vision3 k! a- e7 t$ N9 j) d3 z: d
inherited ' E U: \, T5 J) m- Z" ^1 Z
]
7 ]( s. c. ~! |) D4 Y
( k* r( a2 j8 K* k( j$ w A# b" d! n0 t! Z6 k' Z: Q/ s! ]4 w4 V
to setup' I" R7 l2 B& ?6 z M
ca
% {& L# I' s, [3 o* j set max-grain 50/ Y6 D& g* ~0 K
setup-patches3 t" a6 F8 n) {, a, a
setup-turtles6 s# x% e9 F9 q( [) |
setup-plots6 \: c* W) z1 U
update-plots
/ h4 r5 Y/ Z6 V$ r- O( h' Bend( ?) L8 Z1 l8 b# q5 O/ n* u
to setup-patches
3 Y. |& }8 [( L: W" f ask patches- O" q6 Q' D# l8 y3 s% f, |/ l
[ set max-grain-here 0" X- W) B( ]' `. D' z
if (random-float 100.0) <= percent-best-land
: V+ n R: v8 x; U3 o/ m Y; B9 D8 e [ set max-grain-here max-grain6 [3 p6 R5 J& m; F
set grain-here max-grain-here ] ]; |* H- Y* V$ P$ H: V$ s
repeat 5) V- p8 j: H0 a5 r' K' c
[ ask patches with [max-grain-here != 0]. O# x- g0 ?) b) ~$ M, O0 g
[ set grain-here max-grain-here ]
8 m+ k7 C! ?: H! z2 W7 a diffuse grain-here 0.5 ]
! M% F d0 |/ a. v" q8 U0 L: \ repeat 10+ A7 l% _0 X( |+ R! Q
[ diffuse grain-here 0.5]
4 g* F" z) ]' }8 k: g2 P# l ask patches, m: M- u, \8 D+ P6 |
[ set grain-here floor grain-here
3 v# F, p7 z' H' r. A" Q, g set max-grain-here grain-here + A& B2 W# N- M* g4 `
recolor-patch ]
3 v, ?4 e D3 U" zend$ G, t* m7 f" Q2 b" W4 ^
to recolor-patch : k. k9 f+ M l9 g( `
set pcolor scale-color sky grain-here 0 max-grain
) k! e! w, Q/ L1 w7 m7 bend/ N2 Y1 V9 k0 t6 Q
to setup-turtles
( v6 j4 h% s. o set-default-shape turtles "person"- z: J+ @3 a' g! B! U/ n! p
crt num-people
; u7 q) `% X/ F [ move-to one-of patches + W7 Q c l( P' [# D/ k; [
set size 1.5 , a- v' k; |, Y: }. ~
set-initial-turtle-vars-age
1 s' j0 v5 I/ t% E. @, h set-initial-turtle-vars-wealth
+ a! V" c# p2 M3 ?4 O5 n set age random life-expectancy ]
" R( B) S' r7 T7 f& i+ F recolor-turtles
- b5 _ ^. c& s7 U/ \& [% pend* T0 W0 x8 ?; T# R4 d' u
9 T& l, j5 J/ v5 Oto set-initial-turtle-vars-age4 V$ K- v$ E8 t# f& N+ m
let max-wealth max [wealth] of turtles) U# g: \! i: U: v! l3 \
4 _0 Q7 I, O( x3 M
ifelse (wealth <= max-wealth / 3)4 q% I1 J D. e, k, [
[ set color red
$ T, S9 `# f. s2 |5 F# ~9 j3 G set age 0) u/ _* x; u" @( x2 T% G
face one-of neighbors4 ' l7 g# T% {7 j9 T
set life-expectancy life-expectancy-min +) g- t, ~( ~% R4 m
random life-expectancy-max , H4 A2 D) s# j- U
set metabolism random 1 + metabolism-low
" Z' G9 b& Q; ~8 l set wealth metabolism + random 30
9 b6 S, z2 h; W set vision 1 + random max-vision, e# ?3 {9 R" s5 s) ]
set wealth wealth + Wealth-inherited-low ]
1 T4 S3 x1 c( u) s [ ifelse (wealth <= (max-wealth * 2 / 3))9 v, v" |2 w4 u, l& ^ h# m5 L/ V! \
[ set color yellow 3 g5 E; `4 f ?: d; t
set age 0$ b! F( y: J; k' I! w
face one-of neighbors4
3 B' U, p5 ] L5 S set life-expectancy life-expectancy-min +% \/ ?8 @. a- s4 I
random life-expectancy-max + 1
. a: M1 e% N1 ~# `1 |# N5 X set metabolism 1 + random metabolism-mid. T% ^) k4 [: G6 d+ A1 N `( H
set wealth metabolism + random 30( L4 F' H! R0 l) n
set vision 3 + random max-vision
: ^$ k1 ~# u+ ] `: w* F6 T, ~ set wealth wealth + Wealth-inherited-mid]
0 D5 [7 o# C# J7 L# B [ set color green 4 \, k: z! O+ A6 z% ^ X1 }
set age 02 U0 `/ T; }, ]$ n2 i, s+ k7 }
face one-of neighbors4
, [* `9 | q6 s2 G1 d9 M set life-expectancy life-expectancy-min +, D' q' a" s* H
random life-expectancy-max + 2
% O& @ p+ {7 g8 ~ set metabolism 2 + random metabolism-up7 A9 b1 |/ F6 J
set wealth metabolism + random 30
$ F, l+ ~9 \7 W, z {: j4 {! K) J set vision 3 + random max-vision
7 A" T4 ]- o5 S- D# e9 p# Y set wealth wealth + Wealth-inherited-up ] ] . u$ L8 x5 u& L
% c/ k2 E0 k1 b$ f4 c: t% [end. x0 p8 W$ C0 n0 A' Y4 h( t% ^
to set-initial-turtle-vars-wealth
& U/ A0 X3 v2 k3 e2 g* j let max-wealth max [wealth] of turtles* a+ z* z5 n4 e$ L* t8 H5 }; h
set age 0
& a g2 G, [( q: P face one-of neighbors4 & @5 m$ ` z) C' q$ Z. u; T+ M
set life-expectancy life-expectancy-min +
5 q. r3 h. T: P: a. h8 N random life-expectancy-max
B: D# D R# {' @/ f$ m3 T: N, Q- l set metabolism 1 + random metabolism-up
0 w- L6 [2 Z( s set wealth metabolism + random 30; e) j( p3 N5 N. o& V1 O
set vision 1 + random max-vision % [) a0 Y- N( W3 W+ w
end
8 ]$ z( r6 u. Ato redistribution
! ~- S& C! B7 S' x1 L/ Wlet max-wealth max [wealth] of turtles
& x8 Q6 ^- [9 q0 c; a5 I, Flet min-wealth min [wealth] of turtles
9 `( I1 }& l- o& y* P3 yif (wealth <= max-wealth / 3)$ ?; a# k0 j# m
[set wealth wealth + Low-income-protection ]
& {* n- p& k. Cend
0 [% }4 U$ ~0 q: }! q : W- g: e+ F8 j* D% S( w* W
to recolor-turtles3 j/ y3 Q) F! H0 c# F) L
let max-wealth max [wealth] of turtles
# F6 a# U! t G6 k ask turtles
3 e8 q8 O6 r( q [ ifelse (wealth <= max-wealth / 3)( \! c/ T. E0 s% V1 N/ C3 C
[ set color red ]" _9 I9 X+ H6 K9 ], D) X; S
[ ifelse (wealth <= (max-wealth * 2 / 3))
( R+ r: h, \1 x. ], j5 V$ E1 @ [ set color yellow ]* y% p8 _3 U1 y. P5 X' ]! c& X4 I
[ set color green ] ] ]! X* p8 c5 M& Z: X+ ?
ask turtles [ifelse show-wealth?5 |/ _: k: m- W5 D, C
[ set label wealth ]
1 u' w" n- v- k( U& u [ set label "" ]]
: S# r% _5 l! u. _end
( Q" J4 k* I& n+ ?3 M: p+ M
3 K6 J2 K! j1 T6 [) mto go" g# z: L( H- h- t) J6 e. O
ask turtles
3 R% r) w) O B: c" [7 o9 l& c [ turn-towards-grain ]
8 R7 P' f, \$ w) c e2 n- t harvest- U8 Q* i9 d( _/ |3 m/ i
ask turtles
% T$ w1 {# ?9 f; K [ move-eat-age-die ]
( T9 F' G3 T5 P" d4 a6 [ recolor-turtles
/ E( n- ?0 R$ j, H. k9 J if ticks mod grain-growth-interval = 0
/ W9 O7 B& p( [( K& a% R [ ask patches [ grow-grain ] ]
( o- p4 K, R- c q' q/ f
! _4 Q- D; Q, w8 ]' n if ticks mod 11 = 0+ H) l+ f2 v# v7 k8 _' O$ J7 `
[ask turtles
9 z! X; E9 j* d5 q2 \ [ redistribution ]]
+ D" Y' h$ Y( b/ U k if ticks mod 5 = 0" l1 w; ]( G, a: I( C
[ask turtles
8 ]" K2 W5 M( N0 w$ e [ visions ]]
! n- Y* r9 L* X; u* f2 y tick a P7 K: P: k8 g& ]* S
update-plots' s" Z& V/ z8 `+ e) _0 C1 C
end4 ~" @6 X( W2 \' v& e9 X5 j$ e! v
to visions
) k5 r2 v2 V$ D9 t; H* H% ]& C' N set vision vision + 1
' L+ N" t! {1 b% B* p5 i' Send
: I7 |( g* t. K3 Z& k- `1 Q. b5 l+ F; C" ]
% {" `) N$ L0 \/ M1 X4 q. m9 }9 t8 q" @/ I2 y
to turn-towards-grain
! X; c! s4 C+ ], b set heading 0
$ t! R" G; n7 ^5 U let best-direction 05 q8 C4 _ r( ?4 |# [
let best-amount grain-ahead
6 w0 S. O( z) L set heading 902 u- ~5 `# _4 Z( b* G
if (grain-ahead > best-amount)) B; p& Q* L3 E( N# e
[ set best-direction 90* F- E& J8 O) C1 `: ?: G( X/ P
set best-amount grain-ahead ]' t0 s7 z! a$ `6 C; R3 |
set heading 180
: u4 W5 |9 a S& B+ W if (grain-ahead > best-amount)
. _3 h) N8 B0 c: F [ set best-direction 180
4 ?: F2 P8 H, Z5 j4 B2 o set best-amount grain-ahead ]) [ x7 {( Z3 i, {+ p* a5 P
set heading 270
2 D# ~" s2 z6 y2 E2 p if (grain-ahead > best-amount)
( Z$ k5 ^' U3 }+ Z C' h! N6 X [ set best-direction 270
8 ?: ^% ^2 I9 o set best-amount grain-ahead ]
2 d0 g$ w1 w5 H set heading best-direction3 f* @1 w; }; J/ C' ]# C1 Z0 Z
end1 m% J# X4 {( e+ W
/ L+ m/ w; D& [( _6 O+ ~
( a- R$ \( o* Y; C# Dto-report grain-ahead + h! ?! L8 Y' _* I
let total 0
. P1 [2 d3 d* X; o$ J let how-far 1
' l/ n, E' l% |4 I- f# H6 x& p repeat vision
9 M; D/ r$ H0 U1 j/ A( w [ set total total + [grain-here] of patch-ahead how-far
8 F, q& Z; B7 j: H8 y/ Z set how-far how-far + 1 ]" [7 u- J! e9 w* K& h6 d8 s7 ?
report total
8 B O, z2 U# [8 i6 t+ l W0 s. d' Pend
Z, ~: q" T/ M0 n+ r9 H
' ?+ @; o" \& u% X- W& \/ |to grow-grain
% d: }! c$ s" C, H$ \: C if (grain-here < max-grain-here)
9 X; g& x; O: p7 T, _" T5 r6 t; V; E [ set grain-here grain-here + num-grain-grown
7 l v6 M7 f8 ^' f9 f. ^6 k if (grain-here > max-grain-here)
, p3 }, E" P; X5 Y1 p [ set grain-here max-grain-here ]
8 \& g7 Z; G2 y$ a- M* w2 | recolor-patch ]
0 Z3 j& i( I+ ]& A6 V) z/ Tend; L& }* z3 t: ]9 e
to harvest
6 a$ a, @7 Z1 z' l, T" ^ ask turtles8 f# Y' C1 A7 Q0 H
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ R- b) k0 g0 J1 H1 V3 ^ ask turtles
6 L" C7 h3 Z4 E/ t [ set grain-here 0
' R7 [9 E- W$ a) _, K) L recolor-patch ]
K V' ?# v7 l( U- d
) h9 r8 ~8 G3 i4 X0 L% ]end
6 W' l8 L2 |% t
! Z8 m* z* b0 \+ X. z7 h! Kto move-eat-age-die
) z7 x* ?% g: F9 a; G$ {# n- J9 w+ V fd 1
2 ^* W" B. ]$ }9 m* B: E! @0 y set wealth (wealth - metabolism)
' e# }2 r2 |% v! k8 s set age (age + 1) W" u8 a7 }& T/ N# l
if (age >= life-expectancy); K5 m& D3 }: @1 c
[ set-initial-turtle-vars-age ]/ n9 a9 K( a/ |+ ]1 ]7 ]; k! F
if (wealth < 0)
( M& n' p& q) ^! L; r$ ]) ^9 j. }, u [ set-initial-turtle-vars-wealth ]9 f8 H5 g" k' M
% a m' ?+ v' R/ Q. y3 B4 xend
$ h+ b/ Q( g) i+ C' c" ?
0 Q, x' o$ H# w7 s; p
' y f4 z# `) o/ c' m! mto setup-plots
0 S# k- ?5 m2 _& U( [ set-current-plot "Class Plot"1 d$ ]; v6 ~- y* F" e3 Z
set-plot-y-range 0 num-people! q# j* h, V: m5 l% l+ g/ x$ f+ ?
set-current-plot "Class Histogram"
2 H1 f. |" K+ [7 q" l set-plot-y-range 0 num-people% c* Y/ d! F: b* T/ K
end* ~% y) N9 `0 y
9 n. r6 d3 T5 b) M; L* x' I
to update-plots+ r" c0 {8 L2 I) j# I! }% j
update-class-plot: y3 G! Q7 z w( r$ g+ S ~
update-class-histogram
7 F( A( |( o6 Z3 b* w+ k update-lorenz-and-gini-plots) z$ F% T- ]6 R f4 ~
end% @* {& Y9 u. Y. K9 c; Z3 A- x# c
$ ~( g+ h: A5 U. q( Bto update-class-plot! d( @5 T- R p2 J9 O0 N
set-current-plot "Class Plot"" A* |" ]; S/ d# d! P) ?( {8 {! S
set-current-plot-pen "low"
* ?6 g0 f6 P2 _; y* Y plot count turtles with [color = red]
8 c- s- y2 R1 ^$ H: r; L set-current-plot-pen "mid"# ]$ p" g! U! E; z! q0 w
plot count turtles with [color = yellow]
4 F d& z6 @) H2 U set-current-plot-pen "up"
8 D3 v4 y) x( T+ s1 B plot count turtles with [color = green]& X. i/ t3 W$ g9 {5 Y1 X
end5 M& h+ d9 M! |) Z r1 d; C
( j4 b5 U# j- d5 i4 X
to update-class-histogram; F1 _9 [, t; _
set-current-plot "Class Histogram"
. y) h+ ]! h9 g/ l9 l# v plot-pen-reset
% \- k" y7 j( o1 g, I5 y set-plot-pen-color red
( q* v) r2 g- r* p; x- ] plot count turtles with [color = red]
6 @8 \3 U" N) S }/ t( Q- @5 f p set-plot-pen-color yellow, @4 h" K3 ?# w- [- X! w
plot count turtles with [color = yellow]
; `0 k- f5 D& g5 D/ [+ K set-plot-pen-color green: L/ l+ V2 k8 ^' Q F
plot count turtles with [color = green]+ ^% ?9 s8 m' n1 w, \+ k- d
end
2 ?3 p1 k* I5 w7 `& Jto update-lorenz-and-gini-plots
+ }& F3 G; V. I set-current-plot "Lorenz Curve"
* T( B2 k0 Y2 ]2 B clear-plot6 e4 n7 K S1 x& a
/ B4 {3 z: v I4 s7 k/ _1 ^$ r' q
set-current-plot-pen "equal"
, M, L+ ?4 w5 N8 B- x# U plot 0
6 N9 Y& R% p" j: C+ N plot 100
1 ?( r. B, m1 `$ K6 T s6 f, G$ }0 K9 T7 t- \. F" Y& x
set-current-plot-pen "lorenz"- G2 j5 w; o, r3 E& G
set-plot-pen-interval 100 / num-people) m( X5 C5 A5 A
plot 0
! h) j9 n3 o# G) [+ E. H3 N) T) g4 x. x) h6 ^* O5 l
let sorted-wealths sort [wealth] of turtles
4 N% {9 m7 y. V8 e let total-wealth sum sorted-wealths
- J% Q* ~: ^9 c let wealth-sum-so-far 0
! T; o+ U7 L! ]% K+ ]/ j let index 0
8 j" `- [/ J1 x5 Y3 F" c/ G* S let gini-index-reserve 0
5 [% D3 C2 g/ S$ Z
, K _8 w$ B1 @' G- K% ~ repeat num-people [
) D% I! [$ ?& W+ N3 S set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* A* B3 b' I- P" p plot (wealth-sum-so-far / total-wealth) * 1001 `" | V/ ?5 b: G) R- o% [5 }
set index (index + 1)
8 O" F- a: W7 W3 T8 n9 T set gini-index-reserve
0 y, f# z2 M) \& i+ ~. r gini-index-reserve +
( }* n# s; I0 X; U (index / num-people) -
/ }# M& a( y0 g3 W, c (wealth-sum-so-far / total-wealth)
2 e) o5 ?* |- k/ f/ H4 E: d0 T' ~# p ]6 |$ o2 Q2 N, C- ], Y
1 g; K* ~/ n( U& a# t+ k1 K- R
set-current-plot "Gini-Index v. Time"6 p; Y: ^4 w b; `4 ~+ ^0 e, ~0 O
plot (gini-index-reserve / num-people) / area-of-equality-triangle
6 f" D! x3 o1 o: B) Jend* k: s: X3 ]% d! D$ j2 Q/ |
to-report area-of-equality-triangle
' [3 A2 w+ s( f* E# B& _ report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
' m$ y; z9 r, N) @' z0 C; tend |