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
: K1 L5 A; |" b( [# Q4 [4 ?4 Sglobals
3 W. A1 u& B+ ?% ?1 _$ Z& i9 c3 P[
- F% l) j, p$ `6 _* {: @ max-grain ; ]8 ^2 ?7 V9 p# x4 j$ b4 z. U
`/ s n# J& X+ n& v. f; s]4 a- I$ E0 Y3 }% ^; r* [2 C
8 r' L& ^6 h: g! n0 P3 _0 y9 {+ tpatches-own
! @# O5 u3 c" V[
! w" F. U5 ~( P' ~- O" @5 S! @ grain-here % S8 j) g8 e7 h p
max-grain-here / a) T( v8 t0 F+ U: z
]
( z( O: P+ s r9 e$ N9 K2 [
" H3 q# k, ?6 `# Pturtles-own6 t8 p5 D2 d3 @8 ?0 P
[
v J- n# E# S1 C: A+ E age 8 ?' }% u- e3 x% w2 A. Y* P' O
wealth 2 V& D5 Z0 U, m2 L& j' D) K
life-expectancy
9 s3 ~" I) F) G' `# [& Z metabolism
4 W2 e$ Z0 R& L9 H% y0 F X vision
! l. K g" ?8 M! v inherited d9 J- K4 b: D; @5 K5 m4 J) r# }8 F
]
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" y( ?3 m6 l6 W" b
to setup
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J9 U& O# a' w$ |7 ]. q9 o2 ]7 n ^ set max-grain 503 i" w) }* N8 O- E8 B
setup-patches# Z( u$ _* ]! C/ f
setup-turtles
. m1 T9 ] M7 c+ @ setup-plots i; L7 A+ P, F
update-plots
# [' V7 n- @$ Wend
' b' d h9 p1 @; n: uto setup-patches) U: q5 l, V# x2 P. K3 e
ask patches
+ o4 J: x7 U$ S [ set max-grain-here 0( l! M s$ W: ?
if (random-float 100.0) <= percent-best-land' k4 w* q0 f) g1 t7 e
[ set max-grain-here max-grain
# P" i: ~. x0 }6 G9 f7 z4 Z, h$ y set grain-here max-grain-here ] ]" _% X- G+ L) e3 \& T2 ^
repeat 50 t$ [/ F" |2 F! W b
[ ask patches with [max-grain-here != 0]
, l, Z- t" d+ I [ set grain-here max-grain-here ]3 H4 i; j! d2 @
diffuse grain-here 0.5 ] P* p; C6 N6 Y$ r
repeat 10" l9 S6 C) U& [" m2 s
[ diffuse grain-here 0.5]
2 W0 W5 B. k( r9 @$ \% T ask patches
! ~4 b" b3 ~5 }( f [ set grain-here floor grain-here
X" A; r$ Y8 g2 |+ h5 Q( N set max-grain-here grain-here 6 a: `0 v$ h2 p: L+ G
recolor-patch ]
! T _9 x3 C# W3 Q6 ~) A& L) dend
* K! _$ m' l/ ?0 J6 D; Z! m* oto recolor-patch
2 x4 w) L5 D( f: c' C4 b set pcolor scale-color sky grain-here 0 max-grain6 u* ^5 {* i& w: I9 ^8 d! N& ^) Y
end- K3 ]6 D3 M9 ?7 V0 }& l
to setup-turtles( u* N9 h. L5 I( M* f5 S
set-default-shape turtles "person"
: z z9 y, o7 A) H crt num-people
9 u/ ~* u" W6 d8 d1 `) n Q [ move-to one-of patches ( T5 M- s$ Y9 K$ Q
set size 1.5
+ j4 ^& J; [& j( q4 y set-initial-turtle-vars-age
. B' o7 t" S8 }9 l! N1 ^$ ] S) C% N1 K set-initial-turtle-vars-wealth8 R/ V6 j; n. b) p
set age random life-expectancy ]( T# z8 o N8 c1 x0 Z% |
recolor-turtles A5 Z$ `5 }0 l; h
end. v; [% t% \' P
1 O) K: Y. Q3 K& m- I0 K# i
to set-initial-turtle-vars-age
( I7 ^ c7 [, a let max-wealth max [wealth] of turtles
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E: n% c; i- L: Q ifelse (wealth <= max-wealth / 3)) W) p/ m$ J; ] ?# w
[ set color red " U7 y0 `( o5 p. n- u; p7 Q8 ?
set age 0
2 R& y* E$ N5 D0 J* ]: S0 r face one-of neighbors4
) N- P# Q% U8 l8 ~ [ set life-expectancy life-expectancy-min +; |2 ^& K& O0 {# ^' t
random life-expectancy-max
( O. p0 w" M; H set metabolism random 1 + metabolism-low
% l& m8 Z& N) l5 ^* P5 k set wealth metabolism + random 30
! q# d) f% ^) m: [& D* f" w set vision 1 + random max-vision
6 f M* n9 A$ ?) i set wealth wealth + Wealth-inherited-low ]
0 E; w. T9 n9 o- p- f [ ifelse (wealth <= (max-wealth * 2 / 3))
( y4 A$ H! e6 S! {& B: _5 ]2 r [ set color yellow
6 |6 A8 Q, ^$ f( H. x y; v, f+ ? set age 0
3 }+ y2 Z( U7 j* e face one-of neighbors4 & G8 b0 a0 D$ g0 G1 j6 K
set life-expectancy life-expectancy-min +
- D5 ~8 K* F1 z4 H random life-expectancy-max + 13 h# X" f6 W1 e0 Z7 \
set metabolism 1 + random metabolism-mid
+ i* y. \ j8 s2 m' W' e- V7 P" g4 z set wealth metabolism + random 300 y4 y& Z! W: e2 A' q7 V' f% D2 h
set vision 3 + random max-vision4 V+ v7 g1 F/ Z9 v+ t
set wealth wealth + Wealth-inherited-mid]
. ^1 X; V& W" ^6 ?7 q [ set color green + h. n$ j0 s* k0 v
set age 0. a3 ?: U0 Y: s7 _ Y2 k
face one-of neighbors4 ; m& x8 y$ O. j6 [+ `& w" |
set life-expectancy life-expectancy-min +
+ U2 D* o8 |. ^7 c1 _ random life-expectancy-max + 2
- r/ r% ~: k5 I8 J- h( @, S1 p set metabolism 2 + random metabolism-up) }: L' r/ ]- g6 L, F1 ? z$ z( F
set wealth metabolism + random 30
" V/ K8 N/ \9 y6 W( L2 [! G5 s set vision 3 + random max-vision$ j- T8 z% W7 v( p/ p
set wealth wealth + Wealth-inherited-up ] ] 6 j: P, d9 l4 ]) `1 C2 ^
+ ~+ n* X1 I- U0 k
end& k* ` D+ B! L2 \+ t ~
to set-initial-turtle-vars-wealth
: M5 _& L9 n, x, h3 Y4 D9 d8 b let max-wealth max [wealth] of turtles& Z& p0 _, k" \$ t' w* m8 S! u
set age 0
4 {6 X9 O! [9 x+ @5 M6 a face one-of neighbors4 - {* Q! r$ B, X) f
set life-expectancy life-expectancy-min +( a5 |- S9 c" O/ d
random life-expectancy-max / t/ D/ z$ b+ \1 l% p `( c
set metabolism 1 + random metabolism-up
3 E- e7 C/ [2 h. ?# X( S set wealth metabolism + random 30' @+ {& m# T3 m- X* Z5 k
set vision 1 + random max-vision 0 C9 t$ b9 N* F+ J v
end
5 x, `' F7 o, x) K& ato redistribution6 A6 q! ]( s- u0 f
let max-wealth max [wealth] of turtles
, c0 ]1 F" J! G. ?let min-wealth min [wealth] of turtles* r3 o8 u; `! f! z
if (wealth <= max-wealth / 3)
" q. I% }- s7 {/ C- n [set wealth wealth + Low-income-protection ]
2 I" [9 ~' `. x. p$ Z# V# W1 Jend5 d9 M4 ` g0 V: p- [
* `/ P! ] s& m" j* g: ito recolor-turtles
8 e' S9 }6 @* c e( i let max-wealth max [wealth] of turtles
0 c* r% R& m% O3 ~( p! u# { ask turtles
8 d* m" f" x7 |8 t/ \3 c [ ifelse (wealth <= max-wealth / 3)
0 e! a5 r8 j) R& g3 _ [ set color red ]
& t9 C: i3 n- B9 H [ ifelse (wealth <= (max-wealth * 2 / 3))2 K5 Y) W, D6 E: H$ G& M9 X/ R& j
[ set color yellow ]
+ ]9 n5 r. H5 S6 H/ v: O1 r [ set color green ] ] ]
! Q3 w4 u/ X; ~$ a ask turtles [ifelse show-wealth?
* S/ V* m* ^! w8 p [ set label wealth ]2 B$ G/ ` t7 Q/ L6 q3 z1 T
[ set label "" ]]
- u" Y# {8 c- E9 g3 q0 r! d, Aend/ n2 J+ q! t. ?6 O
% f8 [3 w/ A8 B' J
to go
6 N2 H: H% C* n- _. D7 s) U3 l ask turtles
; P* B8 ^; h2 u q( c6 F [ turn-towards-grain ] ) y5 Q* m1 ~4 y4 d9 X4 f: V
harvest
0 u& w! p$ L& ? ask turtles
9 @2 T! i# h) l [ move-eat-age-die ]1 R& l' n- S3 a$ Q/ ?
recolor-turtles% D1 w3 @6 p5 W
if ticks mod grain-growth-interval = 08 V6 o* e! Z4 E/ R
[ ask patches [ grow-grain ] ]
: m% u" b' Y* m" l 4 `* w, P& [; ?: g' U# x0 T
if ticks mod 11 = 0
" D3 U7 i, B+ t. c3 {- F [ask turtles, L B$ |- _& E" m
[ redistribution ]]) K% P# u. v' e% f
if ticks mod 5 = 0
; V6 r% m4 W% N$ o) M4 i [ask turtles2 b7 Z( d6 e" V. Y8 y4 d& j U
[ visions ]]
( I6 \9 g4 Y$ ]" |% | tick' i* W' L+ M" C/ h0 V
update-plots
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to visions
/ n( U% z( Q/ f8 g8 @, b set vision vision + 1 - z1 R% y* j9 g" ~3 u
end# j. {1 |$ p }! k
! w6 v* y+ u0 ]0 g7 o* k! H$ z9 r( z
9 y# g# n/ h+ r1 j9 i! q4 a
# _# C* v( ~+ y! X- }to turn-towards-grain
( Q. ]/ k* B! A) Y3 r set heading 0: G* s% P* v! h9 `1 ]. ]7 n( G) [
let best-direction 0
( D8 p5 O: A6 T let best-amount grain-ahead* W+ M4 z/ u V3 S; l4 N" {
set heading 90& ^+ {8 p$ \7 D q: B, N: ^
if (grain-ahead > best-amount)6 W1 d U' M6 x4 x% i+ e8 f z
[ set best-direction 902 c. h3 [+ }0 `" Q a9 g" s1 d; |
set best-amount grain-ahead ]
( P" G. V% b6 \& S( b& _6 ^0 Q set heading 180
) g$ a0 k4 [# p- K# W if (grain-ahead > best-amount)
% t. ?0 B5 v+ S7 f- L [ set best-direction 180/ a' R6 h6 G+ W, ~1 U$ U
set best-amount grain-ahead ]! ~! I$ `+ V0 }
set heading 270
& Z6 E+ X* J) ]6 r- o$ H if (grain-ahead > best-amount)
$ [! \: n N/ Q Z [ set best-direction 270# {- ]8 ? a- X7 g5 Z9 x; W
set best-amount grain-ahead ]
' \: i* a) g/ B5 {6 f7 _; Y set heading best-direction6 r8 _! y6 h$ \& v9 B* t
end( a2 Y+ ]; b: {9 Y2 @
I" Z2 j- P) H8 F0 J5 U' z
3 i6 P5 b' A) U K
to-report grain-ahead
$ s5 w! k N9 B0 g let total 0
1 \$ U% [0 R' k5 N" O0 t* v) p let how-far 13 _, j( ~5 N |' C/ P
repeat vision
7 T* u3 T1 n" V8 d$ u [ set total total + [grain-here] of patch-ahead how-far& k, b% ]5 ]& n; X+ ]6 I6 b
set how-far how-far + 1 ]
3 I: u1 _" [3 ~- m% A3 g2 m7 h report total( ~3 w6 K2 X! W* U6 u2 I4 A
end
6 z a; n6 i- ]0 w6 ~1 L, Z, f* X1 U0 s2 |' c x. F$ _ [
to grow-grain
+ Q. h1 h; Q/ C4 t# n* H if (grain-here < max-grain-here). t. n7 P7 a8 o, U4 k2 D4 f
[ set grain-here grain-here + num-grain-grown
& h, S8 i( p5 r1 b7 r if (grain-here > max-grain-here) ' S( D& J5 ^4 H
[ set grain-here max-grain-here ]
5 r! X6 N9 C. d+ g7 O- \1 C! r/ Q recolor-patch ]
2 O) |1 [8 _5 ]end
4 @% z5 o% E7 Z# p1 t- h1 I* Lto harvest/ n. ]1 U3 i1 ?) e( A. V8 I! @5 X
ask turtles
* o$ ^, P/ U5 R; K [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
7 l; n$ ?) @: ]& n7 T! r ask turtles4 M- Q2 v- r& J/ ^$ T9 W) p. ?
[ set grain-here 0
* v9 b7 a, P" c( [1 y3 M recolor-patch ]! @# N% U* N. J A0 T
9 E5 b" f o5 M& t! I0 N6 fend
7 P, E; \& {1 w8 T! T: ]4 k9 z% }, v. a- V( @% Y
to move-eat-age-die
7 a7 N4 H8 a+ u8 v+ ]' C1 m6 W fd 1% \+ v- x% X4 S4 u
set wealth (wealth - metabolism), b, Q: L B3 M, g$ d
set age (age + 1)* c/ ^* \& t+ Z
if (age >= life-expectancy)/ V% x- b8 }, ?. I& F8 }
[ set-initial-turtle-vars-age ]6 P4 M5 ]+ p! @/ B( ^0 }
if (wealth < 0)
! k! B3 U/ n( B7 B [ set-initial-turtle-vars-wealth ]
- W0 M/ F0 T( k " r0 f7 X- v" v* j& {. {
end
; O8 Y/ D" H' S7 w) A' p) @' i
! d c0 L" c N' N8 u
; a# N! {( n* [& z* Uto setup-plots- M/ K3 x( g, r
set-current-plot "Class Plot"
* ^0 |5 m. P3 _, W% p3 `4 z set-plot-y-range 0 num-people
% n# O# ^* _" j3 t# R/ C: _& ] set-current-plot "Class Histogram"
3 T2 Q3 q _& i2 h/ v% X/ n0 E set-plot-y-range 0 num-people
: X7 h7 g# |: f$ ^5 uend N$ G8 _% {8 n2 _) k6 D! f$ D' q W$ P/ D
2 u. W- D/ [2 g1 t3 W" b' vto update-plots2 t7 x1 u* c) t9 R3 W4 }) C
update-class-plot" n+ F6 w( O7 ^- Y* u
update-class-histogram
3 P# l! q8 T6 H/ }5 t7 ~% M& A( p update-lorenz-and-gini-plots
[$ ^& ~ e2 ]! jend5 S! j8 f7 l2 X7 Y
% |* z; ?: z: o
to update-class-plot( e: A0 A9 ~% B9 ]: o% f( p
set-current-plot "Class Plot"
5 S& Q; r6 V# r( _- w5 @2 b) f set-current-plot-pen "low"; L$ v0 O( R7 I! u6 h& s
plot count turtles with [color = red]4 I2 p, ^0 R# N' i( x% v* p
set-current-plot-pen "mid"8 y2 Z$ k. g9 Q3 D3 T" d: `2 e- f
plot count turtles with [color = yellow]
4 r8 h: q/ P8 o3 W set-current-plot-pen "up". v! k T/ ~; w& _/ p- L
plot count turtles with [color = green]
1 j4 w$ g% i2 r$ N7 Iend! k- ^! [4 t: D' y% \
6 Z6 I+ B6 n3 u: ^) bto update-class-histogram% x5 H/ j1 _" K' |- r
set-current-plot "Class Histogram"% T: c" k5 D4 ^5 H
plot-pen-reset
" n6 m( v- x7 v- Y! b set-plot-pen-color red
7 a( `! t# I. Z, K plot count turtles with [color = red]
. s1 H- K7 x& W1 X. i( [$ h set-plot-pen-color yellow1 e4 o6 C1 p7 e: l
plot count turtles with [color = yellow]
3 a- v" k& {9 @( B T/ o set-plot-pen-color green* m; e. `$ _$ t
plot count turtles with [color = green]
8 ^5 e) J9 U2 \, o& ?& D; yend! ^3 S/ h, r+ Z) Z: s
to update-lorenz-and-gini-plots: p; w) x7 r4 L8 x! R- N( E$ p
set-current-plot "Lorenz Curve"8 S( c$ K* O1 j# D. D( J
clear-plot1 ?" ]6 x) S# M) V% l {7 _
% T. d' T* h0 Q- O* ~
set-current-plot-pen "equal"2 o- D: E9 `: q( a. T# h
plot 0
& P7 v# ^1 t5 m$ Z plot 100
3 K D, l: }" W& x r) g6 f/ ^0 u" n6 z+ ?
set-current-plot-pen "lorenz"
4 ?' F* P8 ]3 D# y D c set-plot-pen-interval 100 / num-people
( o* q6 g: D9 Y+ s, Q( i plot 0
2 L: P7 j$ z( ^$ c* I
/ F( o* r" c2 I2 g$ T let sorted-wealths sort [wealth] of turtles
' S6 d: [% M3 H1 S- S4 [ let total-wealth sum sorted-wealths
3 \6 |0 y$ a' j) j4 [ let wealth-sum-so-far 08 l: q0 e( n/ s- X! y
let index 0. U1 {1 n- P' ]7 S0 K9 T1 o9 G
let gini-index-reserve 0
; Z# W* ~. v5 e |5 q+ U, k! ~% I, ^ U" v
repeat num-people [/ }! u# @2 {1 m7 \. A3 R3 I
set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)/ h( A5 W6 c- @" c
plot (wealth-sum-so-far / total-wealth) * 100* o- A: K( d0 V9 m
set index (index + 1)
: v8 u. ?! [# A set gini-index-reserve( b1 p& G \/ T8 F2 o
gini-index-reserve +
( c$ L! u2 E' i3 K1 K5 T (index / num-people) -! e8 a1 Q! H2 c+ e
(wealth-sum-so-far / total-wealth)# P; S7 `! ?' Y+ l
]) ]" \# a6 @! i3 G9 v* i0 m0 w
: I, ^9 y2 R0 `
set-current-plot "Gini-Index v. Time"
7 @" g. ^( s) z plot (gini-index-reserve / num-people) / area-of-equality-triangle
% f0 {/ @# ^3 E9 N( `end' b7 \4 K8 S& m4 B4 N
to-report area-of-equality-triangle, |' N. Z0 Y$ ^. t
report (num-people * (num-people - 1) / 2) / (num-people ^ 2)0 r0 ^. p/ }% u/ u
end |