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3 e2 k" `! p* }( e
globals& I7 P$ f/ W/ K/ m
[
: f: e: f$ x% q% _! F max-grain # y c A8 S% n" R* M: F' I
. q9 S: M" _; ~2 w]/ R5 h% R$ G6 p, H+ `% w
- a$ D0 ?+ y: w& y8 T" Npatches-own. w3 ~; k/ d" ^8 G. _ s: j
[% H: B o: v" J+ i4 o* P; [
grain-here 3 L# g. k4 I- y" ^) A: B. M2 ^
max-grain-here
4 D6 F% _ ]$ L]
5 r) y" P3 v, r
+ C ?7 T+ j* h( K3 Zturtles-own6 {! j6 T' f4 Q2 w. {
[
! H, L6 ]/ ~! y age
) [$ `" G8 B+ ^. b) {% V; E wealth
: Y1 C6 I2 P7 c2 I% z( R2 K life-expectancy
4 B7 s5 ]' A, W$ T' _ j metabolism % K# u+ p# q* S" c
vision) g! `! f$ @" w2 J, F
inherited
0 H: n9 T- v5 N9 Z; T; R]
/ r' X- k& D, b+ m; h8 k$ M$ ]9 _9 Y$ f9 |/ q5 N6 r+ P, b! u
6 [ w3 C* h7 x1 M( C k) zto setup8 i1 _! `$ U* i
ca
: h9 g- C6 s& z9 \ set max-grain 50) n: j$ Y4 Z4 m$ p0 I1 z" ^( n
setup-patches; t- x g C7 Z7 {* q C
setup-turtles
$ P5 ]% x+ f+ M8 K8 G& b* Z6 j setup-plots3 E" P, A! e K2 y3 c; m
update-plots: c, n0 y" A; ?0 j8 `
end1 d; a3 H* K5 }3 H' v% T7 r4 a
to setup-patches/ }* }. p3 g2 ?" U- R
ask patches
/ r3 A% p9 H# \6 \* |0 ] [ set max-grain-here 0 G1 D$ K1 a* r. @+ k
if (random-float 100.0) <= percent-best-land6 e- H5 C5 y* c6 {7 ^
[ set max-grain-here max-grain7 j9 h' `' M0 W b8 R" |5 D4 t
set grain-here max-grain-here ] ]
' {+ Q( B! R" u! M repeat 5
- k/ Z1 L0 |# Y2 i# f [ ask patches with [max-grain-here != 0]
9 B, j0 ?/ {# |/ F, ]9 y/ D' Y [ set grain-here max-grain-here ]7 d$ o. ?2 ~6 Z' Y' V
diffuse grain-here 0.5 ]& y4 f$ c% W. p: C
repeat 10
/ \+ H$ U9 {0 A4 I [ diffuse grain-here 0.5]
0 x1 o' ?: F- E5 ]7 K2 | ask patches
% g4 z3 C% {' r" k; a; \) ? [ set grain-here floor grain-here
2 G: P0 G3 M& j8 l6 I/ Q1 r set max-grain-here grain-here
# ~* L5 `8 C0 ~. B C, Y4 M/ v recolor-patch ]" V% _/ L3 p7 H) o; Y8 _% l/ V
end9 N* V0 _& x6 a; h$ |. Y# j8 q
to recolor-patch
1 |: q) ~3 Q$ D; G set pcolor scale-color sky grain-here 0 max-grain% `1 Q0 D3 K% a7 d
end' y4 l- L) ]9 P5 ~; G' {' P
to setup-turtles3 n8 ^1 o( b% R0 C3 h L7 a
set-default-shape turtles "person"
( u( F& _: E- B" J' n3 s crt num-people
% X2 ]/ D8 E$ L0 N- y [ move-to one-of patches 4 r; r) A: f% J& G* c) G3 i
set size 1.5 * I( ~$ G4 D# ? i/ B7 l) F# {9 _
set-initial-turtle-vars-age
. e* U$ E" D1 U2 t set-initial-turtle-vars-wealth
" Q* s" ~) C. X e" ~ set age random life-expectancy ]+ U" i) m: S$ B/ R. k- `7 z; ]
recolor-turtles# {! y4 \6 B# _+ |. o) t+ v
end8 B9 z6 e+ h( @# `8 i/ G& f
- z4 A `7 E$ g2 z5 _# yto set-initial-turtle-vars-age
" X; x9 }6 y6 i& v2 V" s a2 H- o let max-wealth max [wealth] of turtles% r6 M4 ^+ |' _
1 s: X" h; B5 B" C" I w ifelse (wealth <= max-wealth / 3)% Z- Q y' [, P2 m" ?
[ set color red
4 o$ W6 A7 }( j. g set age 0
; v. g; a2 \1 F6 U9 ^- s L face one-of neighbors4
0 g; h4 J( j K1 [ set life-expectancy life-expectancy-min +
9 O' ~) a! n, ` R random life-expectancy-max
- V2 c' D# h3 `2 ?! c" S set metabolism random 1 + metabolism-low2 |( {. q6 c- C8 W
set wealth metabolism + random 30
8 n/ H! k/ B( J/ G( A set vision 1 + random max-vision
o+ E+ c) B! G& \8 Q0 k2 j3 G( n( D set wealth wealth + Wealth-inherited-low ]
0 V: P& R- R$ c# @; T [ ifelse (wealth <= (max-wealth * 2 / 3))
' |/ F5 {# |/ A" n0 a+ {: I [ set color yellow
z9 j9 X o, U# a" P set age 0: `8 H6 k9 C) }- F1 B* u
face one-of neighbors4
4 N& `" _/ h M3 h set life-expectancy life-expectancy-min +* Q& [2 E1 R7 a- c
random life-expectancy-max + 15 |' @, b; O, [2 ~ m( n
set metabolism 1 + random metabolism-mid, G. q& a5 `3 X) }0 A
set wealth metabolism + random 30
- O' c w' C/ g- v3 _6 y! J/ O# G! H set vision 3 + random max-vision& w6 U6 |) D0 G3 J) V
set wealth wealth + Wealth-inherited-mid]
) K( E0 {8 o2 L b [ set color green
# V1 s( e2 A) c$ L& ` set age 0$ y! y5 A i" ~. w
face one-of neighbors4
; g- z9 Q! Y |8 y- w set life-expectancy life-expectancy-min +
) F) s2 f! J; p7 I9 o5 ~/ m random life-expectancy-max + 2& [9 q* l% n: k. x& i4 S* C$ D
set metabolism 2 + random metabolism-up5 ^! s- z p% Y, m* H
set wealth metabolism + random 30
- A$ w9 Y: D M& v6 I5 x3 x set vision 3 + random max-vision! C: k. c0 r9 H. G
set wealth wealth + Wealth-inherited-up ] ] ) @8 B" }/ g2 n8 [' T7 `
% j: V- s) g2 G' Oend
5 Y5 K+ ?. ]$ L: I2 y& h1 w( rto set-initial-turtle-vars-wealth1 A& r% M" H+ e) `$ X% A4 f
let max-wealth max [wealth] of turtles
# r( ~* e: ]& A set age 0
7 @& \" L) s/ A' h3 C( O5 b0 _. O/ ~ face one-of neighbors4 * R5 V u5 ` \4 l) `* X
set life-expectancy life-expectancy-min +, x6 O. Z9 K0 u1 u9 y
random life-expectancy-max : Z. P O, w0 s- E: n# m9 ^3 e' C
set metabolism 1 + random metabolism-up/ O) s2 V$ T+ d- S" B
set wealth metabolism + random 305 L' D: K7 f. @4 f! i7 Z
set vision 1 + random max-vision 8 b: U8 u. q+ X _. a+ u0 a( l$ x
end
* `. E. i7 l* r& a* W! Y8 Mto redistribution
1 U( F& M( x( C% Y, y: L3 hlet max-wealth max [wealth] of turtles/ W# ?% x; P& A7 I( [
let min-wealth min [wealth] of turtles
+ F- q3 ] I9 C( Eif (wealth <= max-wealth / 3)) [" i. n) D" u: D& L# n
[set wealth wealth + Low-income-protection ]+ z+ u" v+ ~" Y+ B
end! P* |+ A$ _) K
3 ]) G5 W, }* m2 z# Q1 mto recolor-turtles, q; e* z5 B2 w
let max-wealth max [wealth] of turtles
: p+ O- r5 X& D( r, c/ \ ask turtles
0 n; u$ O7 x% p" q [ ifelse (wealth <= max-wealth / 3)
2 I4 S0 s& v2 ?' Y$ P+ l: f/ c [ set color red ]
! Y4 D" N- S6 x/ ]5 V3 H7 H- r [ ifelse (wealth <= (max-wealth * 2 / 3))
/ R0 E3 X' R/ e* B [ set color yellow ]" v6 K8 [; r+ f( g: d
[ set color green ] ] ]
& m8 U% f* ^; r ask turtles [ifelse show-wealth?
0 \7 r+ O, F/ P* ]( | [ set label wealth ]
8 I" u, ?7 B' ^ [ set label "" ]]) J8 L% W4 L7 p
end
9 P4 K3 C4 k1 U1 D/ k @2 ]5 I% L, M
7 R1 i: ~2 d2 ?* oto go8 ~ T; v) \8 v- }4 X
ask turtles" R8 c8 M6 Q1 N1 |! `
[ turn-towards-grain ]
3 I; `; |! t( O& P% C2 W4 Y, \ harvest" D: |: `& e& J) d
ask turtles
2 r& x1 o4 c1 V0 G- Y4 [ [ move-eat-age-die ]; ]. f c5 Z! O! J( O
recolor-turtles
' L/ w1 t/ N) @- r if ticks mod grain-growth-interval = 0
' t3 l/ E6 X/ f2 J [ ask patches [ grow-grain ] ]
6 p4 z6 U" f! F3 m v- M $ _4 h Y* B$ t( @
if ticks mod 11 = 0
0 r5 J1 l" M/ [- O# T0 f/ l% g [ask turtles! w1 f$ _+ @) t% H; ]/ ~% v6 d1 s
[ redistribution ]]5 D+ L% r; t, T! v# e
if ticks mod 5 = 0! M/ K" w+ `2 s6 r' }9 {
[ask turtles! V& }5 v, }. H/ ~( H
[ visions ]]
0 \5 T3 F2 K# { tick+ B+ V+ u! Q, I
update-plots
/ Y/ p; D% M f; Y% w$ x9 O) _; Oend
7 S" J6 y* @+ _4 d0 q5 B: w" ]to visions3 i; d7 p0 }8 c G. [
set vision vision + 1
% l/ t+ Q' _8 T6 K6 r7 E# Dend1 q8 f: g4 i+ O& P
* L7 |) l$ D* \" {8 t4 ~
# \! Z0 N( l. h, ^: s
" y) H# q1 [8 h
to turn-towards-grain
- n/ C6 [1 p& R; F/ h* T set heading 0
7 E0 c4 p' g9 d let best-direction 0# f) Y* o8 x: }% i
let best-amount grain-ahead
* j* R" L/ L2 y# I set heading 90- S- w5 o7 e$ c) S5 ]" H' ~
if (grain-ahead > best-amount)
5 M. }* [) R" { [ set best-direction 90, C* o5 Q& ]( m& V
set best-amount grain-ahead ]
- }7 `" E& U$ ^* I( z set heading 180
# E1 @( I" H5 I1 B, ~ if (grain-ahead > best-amount)$ l7 `/ z, `7 }
[ set best-direction 180: G; r3 v. @8 R+ L6 {. D
set best-amount grain-ahead ]) u* u1 i& g$ U
set heading 270
" o0 e) B I3 H, p( W1 D if (grain-ahead > best-amount)( l, t) l4 n" f0 C/ ~# D
[ set best-direction 270
+ u$ P/ i3 v, | set best-amount grain-ahead ]. r2 Z3 o4 X( y6 E" ?
set heading best-direction& W5 J9 E% A. O. f; v/ X6 Z
end
c7 M. J3 e4 D$ L4 G. {% X( `+ E3 [1 p/ r: ?+ p/ z) a ~, U' o
0 m: q: @8 _+ I3 h7 Jto-report grain-ahead ! i6 {/ s+ R7 c0 C* N4 g8 x
let total 0& B: l8 X8 P4 L4 a& B3 [
let how-far 1; |" ~% x* c1 \' C
repeat vision
1 I `7 a; @. u2 m* ^; I- Q6 g1 ` [ set total total + [grain-here] of patch-ahead how-far5 S9 m( l2 h. U7 D. Y) J0 c5 I7 w
set how-far how-far + 1 ]
% r) u' y5 E; b3 W7 |9 b( C" j report total
9 @8 V( Z8 `4 Wend4 ?0 G3 S7 j% p
) K. }$ D. |5 a# J u! w: @7 E2 u
to grow-grain ! k9 u- g+ y i6 i
if (grain-here < max-grain-here)
, I9 L5 u7 g, j9 ` [ set grain-here grain-here + num-grain-grown
4 \/ P; {8 ~% g1 w( p9 C if (grain-here > max-grain-here) 1 o4 x9 E4 V9 ^( K/ E
[ set grain-here max-grain-here ]9 }2 E5 W+ K" {( t: z
recolor-patch ]
; P! y- W" R9 P' j4 q2 e4 Kend
( d8 G1 y* z7 [, ]) H: mto harvest
7 a+ k1 H" A$ O6 V# J2 g ask turtles' k+ S3 K1 f' a& y" ^
[ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 L$ v; P( Y; Z2 A: r3 O" p" ~% L: h ask turtles
' b( i( P9 @0 z [ set grain-here 01 E* D5 d0 F8 e* p! z0 t
recolor-patch ]: _6 |" }3 A! ]% C; r
- I' c- |2 \- a0 v, C
end: |2 ]* [% F3 J/ m& T& P
v# H/ ]+ o8 C$ E0 {
to move-eat-age-die
) h: X3 p9 P' [1 c: V/ A% |8 B) P fd 11 u7 q; T1 `# N- u# J
set wealth (wealth - metabolism)# [: r9 {- }+ R- r
set age (age + 1)
- ]' d, d% v5 d+ s0 m7 r/ o: [9 J if (age >= life-expectancy)5 f: Z. x4 O, V2 I# b
[ set-initial-turtle-vars-age ]
0 l; L) t. n, }, \ if (wealth < 0)
0 T' K5 u" A: Y& m4 T [ set-initial-turtle-vars-wealth ]
* \. D4 r: l% i- ^ 0 ?* u/ q1 j$ l
end
( \+ C6 [" a2 i6 q, P& z* U9 Q, W9 {$ U
" }* i% T d$ j/ Uto setup-plots
2 G, Z3 L' o- L* \- ^ set-current-plot "Class Plot"
9 k2 |5 a2 F0 K; _/ a L0 O" h- N set-plot-y-range 0 num-people% F* C" r8 K& v
set-current-plot "Class Histogram"' W B: V1 l2 K5 |8 a. B
set-plot-y-range 0 num-people
' k. _) V0 L, s, Q. z0 h1 F! Dend
2 @9 E$ s8 V5 e1 G8 e. J
* G7 k( A6 ]/ p& E! pto update-plots2 {2 P: _0 E8 \8 F% V+ ~2 f; b
update-class-plot+ `6 Q7 h* V6 p
update-class-histogram
# T: U1 [1 t6 z, V6 `0 n8 B& d update-lorenz-and-gini-plots( ~! _- F/ D" p. _7 \
end6 a2 h& P0 q4 n/ A3 b
6 U, c; }- m7 N6 }7 W! ~) z* J1 @
to update-class-plot
) L7 r) c) H4 D' Y, C! Q5 o set-current-plot "Class Plot"
% e+ E3 h) b& z! w( i/ a4 s) K set-current-plot-pen "low"- d7 x+ q: S1 Q* r
plot count turtles with [color = red]
' o9 g5 c1 v a9 b+ l( } set-current-plot-pen "mid"
" x5 M+ q, a) P0 Z( o% x plot count turtles with [color = yellow]7 i1 J( N/ k4 o1 a0 W
set-current-plot-pen "up"' m& J4 N$ j- u, y. e' ~) a5 I
plot count turtles with [color = green]% ?# D8 d% Z5 u8 s
end
" p; O& A* S; F, W. s* ~, V ^, {9 y# l. {# D7 e
to update-class-histogram
. z& e/ s1 f6 J2 K. @; C5 \ set-current-plot "Class Histogram" H0 n- K9 \( M2 M! N
plot-pen-reset6 s: G( l3 F0 v, p5 r6 o1 v$ g+ Y4 y
set-plot-pen-color red
. F) n8 X$ n4 {9 X7 j plot count turtles with [color = red]) w5 V% O% H! [
set-plot-pen-color yellow
$ k0 Q5 N: ?5 d" J7 x2 ` plot count turtles with [color = yellow]
7 F. c( Y7 P% U set-plot-pen-color green. J6 Q& x# p Q4 [: p0 l) d
plot count turtles with [color = green]
0 g& E0 k% N; V$ P! m b4 Iend# A% E U" o% m) l
to update-lorenz-and-gini-plots
; P+ W5 n" t- K! a2 o7 Y( f set-current-plot "Lorenz Curve"7 A1 C- P- n% i8 G6 s" y" {
clear-plot& ?! C. d' O0 P/ ]! x9 F, ?4 q% K; B
: H8 B! U6 `5 M% r set-current-plot-pen "equal"
1 q; y* O' i' c+ P _2 r, o plot 01 r" C9 q9 q: X2 O
plot 100% C5 O. t2 M9 y
7 O( ]: d v8 w, k6 O set-current-plot-pen "lorenz"7 ^, H! m. K2 c) ~# R) X! i0 Y
set-plot-pen-interval 100 / num-people. V* s2 Y7 b. r4 d$ T" P
plot 0
5 ]: V/ a3 q/ ?
) E* W- D: X" J! Q; x let sorted-wealths sort [wealth] of turtles
- f) h9 g5 z, m( g! \! r2 X let total-wealth sum sorted-wealths
6 U3 v& s7 N# a. Z3 G let wealth-sum-so-far 0
/ g6 N# @+ l) @) A( m- u( w let index 03 n" \7 {, h! l0 E* E9 W# K
let gini-index-reserve 0% G+ S( p' _( `8 o6 Y3 X
0 P" l" e% h3 y$ K, ~+ o% z/ [
repeat num-people [5 M. l2 C- s) { M/ f: t
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths) F. _) J0 ]$ F$ |8 Y; k! g
plot (wealth-sum-so-far / total-wealth) * 100
+ h/ s2 @9 o: W4 f, d) l set index (index + 1)% C8 M% \0 q8 E1 S; [. Y% E
set gini-index-reserve
" ?, i! N1 G/ F2 k" j gini-index-reserve +% E& b& u, j6 Z
(index / num-people) -3 \0 a( ^% H# u
(wealth-sum-so-far / total-wealth)4 A) q9 X) w* I7 ?6 @* v/ h
]; m; k4 Z/ |. ]6 k- @
* A7 e; \2 p$ q% G8 J8 P3 E set-current-plot "Gini-Index v. Time"
' v' K" F z; S/ X$ w# F plot (gini-index-reserve / num-people) / area-of-equality-triangle4 m0 I; k H1 x5 y
end
, ?* ]+ T6 ^ D) N8 b/ V |' I* vto-report area-of-equality-triangle
! r( [8 Q7 Y6 g9 Q) c report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
5 J) Q& D) S% p# A; h' _end |