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[悬赏] 求教:海龟的遗产传递问题

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发表于 2008-5-3 20:47:29 | 显示全部楼层 |阅读模式
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
" K" j8 s5 ]  H+ sglobals
. b5 @1 \) H2 ^7 H) ^[+ I! i# ]- J0 I+ V& c/ j
  max-grain   
7 ^  C9 J1 i. D7 p' j# c
; C) w# m5 p. A]9 b) |% h- C/ l  j
- K4 R9 X0 A$ ?5 e) c3 [5 v
patches-own
& Y% E3 R# z3 q[
- O) K( L) d3 m; @8 R/ k  grain-here      
5 ]* \; g4 e' }* d0 v  max-grain-here  # ~  i# W+ o- l! O! m5 D
]
- m$ n. d. e3 S; F6 I: C
: b$ ]  A+ [% _6 \- E$ Bturtles-own; b, X$ @& W8 ^/ }; V
[
6 a8 r( W: E3 e/ X/ A0 q, n  age              5 E6 r8 y, }3 u" I+ [
  wealth         
& o) K! R2 P1 S8 e" K6 K) _  life-expectancy  % O! w, B( P' J8 D5 s9 _0 A+ ]$ j! p- @! B
  metabolism       3 H0 R( H/ d' |5 A
  vision
( e+ f% Q+ k- C4 @  I9 H9 l  inherited         & F- n* P5 D, p% r4 l
]; l( C+ W4 V& q) j9 T1 d* Z
# Q# J$ _; m$ a0 G/ g) I- L

& A: T" K$ M4 J! I! @to setup
2 `* k/ w3 n0 @  N" E( p  ca' R( R) p% R- q& S' [2 a
  set max-grain 50
- S" F" p! k/ T$ ^  setup-patches
! N5 T( w+ P6 J% f+ ]2 D  setup-turtles# ~' C6 X0 z! z4 {- f- g' ]+ S! a
  setup-plots
% }' b1 f& s# \7 R4 r. g$ ~  update-plots1 x( V1 L- N& ]7 b
end
& L6 ?. h) T* E6 O/ T# V( xto setup-patches: D3 p) d- s7 I1 Z' J
  ask patches# _3 a) r0 E6 z) O; H1 @1 K3 {" D' T/ N
    [ set max-grain-here 0
( G5 W7 |4 N! }4 [      if (random-float 100.0) <= percent-best-land
* X' x& O" n$ l. b2 W' k) \        [ set max-grain-here max-grain* n! j6 _  g8 Q" t/ [) M
          set grain-here max-grain-here ] ]1 p% e( F3 b. r, X# I
  repeat 5
+ ]& }' s) @& B% r6 Y. r9 X    [ ask patches with [max-grain-here != 0]& P+ i8 H% V. w, V4 E0 X
        [ set grain-here max-grain-here ]) b# [7 N6 k" g7 R: b; \5 u: G
      diffuse grain-here 0.5 ], ^' Q. H* d# b0 Y
  repeat 105 Y2 m- D5 |* [9 ?
    [ diffuse grain-here 0.5]         
% Y0 I9 D1 Y/ _: {/ n& t! x; \  ask patches
1 k' V- E- E8 E! G+ Q2 \2 c" z    [ set grain-here floor grain-here    : k0 d8 L4 e1 H0 ]2 h
      set max-grain-here grain-here      
6 O* M8 O: L$ L      recolor-patch ]# l- }! i6 h9 k
end$ K' j7 W* I' b$ D9 {
to recolor-patch  3 R+ _8 P7 b; ~/ S: u
  set pcolor scale-color sky grain-here 0 max-grain
6 ?/ h* B7 O: d) Eend
+ X' C0 O, b/ q+ Jto setup-turtles
; V* u$ J7 c% b7 }/ _7 ^1 C  set-default-shape turtles "person"
* D* {* ~+ \$ s4 B  crt num-people
; z( P4 P  X; B0 O5 R- [7 V    [ move-to one-of patches  % I* ~$ M+ E+ f/ }2 _
      set size 1.5  
, U  L6 Z# r/ c, m      set-initial-turtle-vars-age
7 v+ f4 l' `2 C      set-initial-turtle-vars-wealth
! y* j# p1 a1 B      set age random life-expectancy ]9 |; z* R6 A; h
  recolor-turtles
$ y, I* K& z- w' {end! b# W7 k2 o1 J9 c6 |$ t1 l4 e5 P
' Z: u# f, U" J% [; a
to set-initial-turtle-vars-age( R; v; _1 w: q- U2 A5 Q3 I$ [: G
let max-wealth max [wealth] of turtles
* m# }+ w2 I  T3 D+ Z   
/ L2 ~; L* K6 @4 y! u     ifelse (wealth <= max-wealth / 3)* y' A! {) i" L' N
        [ set color red
" D- }; j9 P8 t" k          set age 0  M( X( x2 @* W1 B- L& d9 A
          face one-of neighbors4 1 w' `) M, \0 h: D6 l4 T% j
          set life-expectancy life-expectancy-min +" h2 X' w7 m% h7 \6 `
                        random life-expectancy-max
. m# S+ O( c, v) D          set metabolism random 1 + metabolism-low
6 F+ m$ m* C1 N# w4 w          set wealth metabolism + random 30- G2 P+ C2 m4 j" {# z/ I
          set vision 1 + random max-vision
9 ~4 S! @& b# x0 e             set wealth  wealth +  Wealth-inherited-low ]# R' n9 o( u) m1 J5 k$ {3 j
        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 [0 ~* |, `1 V' X4 J# M0 H  _            [ set color yellow
  e- F- c! o( Z$ e9 T) y+ x              set age 00 O7 S. _6 d2 r4 K" \' {% \
              face one-of neighbors4 ( q$ t% M1 [$ m, \1 {* |6 H
              set life-expectancy life-expectancy-min +
7 A- n, i; z7 G. F                        random life-expectancy-max + 1
4 k& Q7 b$ b) v6 Y/ q+ p' ^              set metabolism  1 + random metabolism-mid
( \7 `2 W: f' ~* x* ]2 v1 ?              set wealth metabolism + random 30; x' L. p1 u4 ~/ K% b* q. }
              set vision 3 + random max-vision
% U2 H! I% R$ C& ^) R1 H, C                set wealth  wealth + Wealth-inherited-mid]3 e5 x0 m1 L2 d$ Y7 t7 S
            [ set color green
- _# ?; F$ D2 K. e# p# S* S) `2 [              set age 0
0 b9 d4 q# k" |' b  \              face one-of neighbors4
6 z  h* a7 M4 d6 c& A/ [              set life-expectancy life-expectancy-min +
% Q/ y% M* _' D5 C( V. p$ P6 {  H$ F                        random life-expectancy-max  + 2- a( M& Q( c. @+ e( q
              set metabolism 2 + random metabolism-up
3 n) \; m- z$ e( w              set wealth metabolism + random 30
9 M/ V5 r' U3 S2 b- x& I* h  N7 K              set vision 3 + random max-vision
4 d* m; q! E0 M  K              set wealth  wealth + Wealth-inherited-up ] ]
8 t# T0 z, ]( I% ]9 l) [4 z0 x5 X ; G( q9 \" S! G3 Z
end
6 h; v6 _% J& @9 W/ P+ D# o4 jto set-initial-turtle-vars-wealth: a2 _7 F" V7 \. Z% E+ A
let max-wealth max [wealth] of turtles
; O+ ^: [! O2 W          set age 0
: h! N2 i; S) x9 F          face one-of neighbors4 8 S7 m" b. m* G; l- \
          set life-expectancy life-expectancy-min +5 }8 X9 t  ~+ h, m: [* p- q" n) f
                        random life-expectancy-max . E  u* O) W1 f8 |2 @" \
          set metabolism 1 + random metabolism-up
5 a7 v( x8 T) o" P5 _2 t          set wealth metabolism + random 30
8 v: m5 |  }; B9 Z. y: D+ \          set vision 1 + random max-vision , p" I# M& p+ h! L1 f. L
end5 c# s- J1 Z" T
to redistribution
8 R  E: q& }1 E# i2 \* llet max-wealth max [wealth] of turtles3 c7 N8 B+ ]5 _% u, k
let min-wealth min [wealth] of turtles
- c3 V$ h- J- f0 _1 D7 g) o' Sif (wealth <= max-wealth / 3)
. c3 u8 u! h  a7 q0 z [set wealth  wealth + Low-income-protection ]
0 I! f! `8 e  ~# [end" R7 H4 F3 g  h% O0 H5 [0 ]1 T1 ]
          - ?' C! O3 ~% @
to recolor-turtles: f" h  `  T) }6 }
  let max-wealth max [wealth] of turtles
% z) w: O6 C) y3 ?6 ~+ \2 x$ d) Q  ask turtles
- L# e7 @2 A2 _; C8 L   [ ifelse (wealth <= max-wealth / 3)+ B8 f! m5 {3 ]& e
        [ set color red ]
# v0 i; I1 p+ N& `        [ ifelse (wealth <= (max-wealth * 2 / 3))% i# s. H& {; {* H& c2 ?) Q
            [ set color yellow ]
5 b6 Z) P5 m7 t# P            [ set color green ] ] ]- f+ S2 P! q8 S& @( _3 G, u9 W- D
ask turtles [ifelse show-wealth?
) e4 n0 Z! S( h8 V$ C    [ set label wealth ]
4 r/ J  j# \8 C9 X    [ set label "" ]], x/ O! Q/ w' l  ?# }! _  o& j
end
4 m% _( S; L2 s* Q$ |, w$ Z
5 u) h/ x. `1 K0 m% Oto go
# B$ G8 z4 Z5 q5 z9 b8 X# K  ask turtles9 C' W  G# e8 Y/ Z
    [ turn-towards-grain ]  $ w4 |% A: A- E+ A8 ~
  harvest
+ s( F7 u8 m' h5 Y4 Y: P! o$ k  ask turtles
# B$ m! W+ O# {% ~, Z$ \    [ move-eat-age-die ]) p, U# t# S! C3 R) M
  recolor-turtles
- r  S5 }5 z& y' }3 d  if ticks mod grain-growth-interval = 0& g' y- [- C* I* d6 ~8 c# q
    [ ask patches [ grow-grain ] ]
3 G9 C" j: }% k   
+ {3 C7 j. I4 Q0 F! G3 [  if ticks mod 11 = 03 Y/ L& _* x- y& }
  [ask turtles! h3 Y8 ~1 O; l" U
  [ redistribution ]]. Q6 N2 q5 \/ C, D& h
  if ticks mod 5 = 0
3 V, s1 r5 M2 q4 B6 N   [ask turtles
, y0 }' L4 s3 S* F# D  [ visions ]]
8 ~& g) g0 u9 h* H* W) ~  tick" X7 h- o9 u9 k* f6 v- E
  update-plots! r7 K7 k  W4 A
end8 l* u( L$ w0 G- n0 ^: k
to visions5 ^8 s' i; x1 z$ p; k4 x# L1 K" X. a# s
set vision vision + 1
2 o+ b8 u$ X* E. D# Send
2 o! F; ?* Z; @# w7 |* _8 D& G7 _- f! L# D+ ^9 r- P3 r1 ~

% B% g( P( E5 N* J  _) I$ I; X0 w# H  i; c2 I3 v
to turn-towards-grain  / n# q  a. N4 l5 q
  set heading 0
4 m4 f2 ]6 l' Q& @8 l4 k' ^  let best-direction 0) B7 `1 @" H7 k3 E5 g4 g1 f
  let best-amount grain-ahead: M+ V8 i1 E$ G. @6 r7 z8 p9 |
  set heading 90- a( m# E0 K0 j+ `% R& U; M
  if (grain-ahead > best-amount). i" k1 n$ Q8 q7 g% S+ X- b
    [ set best-direction 90
: l. W& T" U  k( t; v      set best-amount grain-ahead ]
1 L# v/ R' u4 u5 U( P  set heading 180
9 z/ Q2 U) {. x+ \  if (grain-ahead > best-amount)$ D1 i3 n# b; p1 `8 T8 G
    [ set best-direction 180
& o4 G& B+ ~  Q: F5 _1 N% ^1 u# @      set best-amount grain-ahead ]
  F' Y# m6 m/ D( s  @  set heading 270& ^6 s; \& @7 a1 i
  if (grain-ahead > best-amount)
2 ~0 C8 @2 e, o5 ?+ F2 D    [ set best-direction 270
5 b- Q7 |4 j2 {8 Y      set best-amount grain-ahead ]: ]/ `* b4 B/ p, f9 w% H
  set heading best-direction
8 I: R0 d, H3 ?) h+ wend9 v4 v1 D# h+ a* _9 q

5 |- g" {) n7 Z. L6 ?- n& s& P& b/ D$ i; M9 I
to-report grain-ahead  
! P+ E& V/ @8 L( d; G  let total 0
: @8 Z5 R) C; K% w  let how-far 1$ F2 t+ Z2 Y. B" Z5 I7 z
  repeat vision
! U3 c+ g/ c8 X# p  m" {" j3 h% F  E    [ set total total + [grain-here] of patch-ahead how-far( D0 ~1 k( b7 d; b9 E+ J, x3 N
      set how-far how-far + 1 ]
+ |, S; x, v0 z4 M( g8 Z! j  report total5 w& i# u7 s1 p2 T( g: t8 B( j
end
# W2 k" q6 _1 F" R* s0 e6 q
  i- y8 @& V! ?to grow-grain 3 I4 D9 t; R# S. v4 {
  if (grain-here < max-grain-here)
& w4 _% u4 |) J' t. S2 q- m+ j    [ set grain-here grain-here + num-grain-grown( J: ^/ ~4 ?2 A; z0 O, x
      if (grain-here > max-grain-here)
. b8 ~6 ~2 D( r7 z# H# k, D        [ set grain-here max-grain-here ]+ b7 \- s6 i) Y
      recolor-patch ]
+ F3 G2 t5 O, `6 z1 ?end
) J! _! P7 a1 k6 \# B* ~% Dto harvest
9 Q3 r. X( Q8 q  c1 U* E8 A  ask turtles
# Z' u+ j: i* `& k    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# w: U/ ~3 b* [) q. M8 T6 f
  ask turtles
6 p3 z. ?3 R4 H. n- Q( V) p, ?& g    [ set grain-here 0/ _+ F0 R& B2 `$ R$ e$ w  H
      recolor-patch ]
( G9 |- M- b: T6 B$ G  1 `( [- D/ `: Q1 C2 X
end
+ e! w  k( b* o: U* ]( ~
/ w6 t7 Y4 e" h9 `4 V) Z6 cto move-eat-age-die  
, l& ^+ G) u7 ]! U4 W$ o4 c  fd 1
2 R0 f7 _. n7 s8 J6 d  set wealth (wealth - metabolism)
( a1 `" U9 Z+ }    set age (age + 1)! }# k; O2 ^, y: H5 Y& T
  if (age >= life-expectancy)
2 m# u  |; v1 `6 @    [ set-initial-turtle-vars-age ]
# l7 p; P2 ?; Q6 }  o& N# {  if (wealth < 0)% ?  M- s4 V$ d2 X7 }
    [ set-initial-turtle-vars-wealth ]
1 Z0 ^3 J5 m5 g% ^   
: e+ V, G- i6 `* P4 Send8 k, ?% h" P1 Q6 H; g

2 ~  R6 @3 G& y; w. S, A
: k+ Y" X5 f! I5 }to setup-plots
4 W+ p, _! g' j' y1 m4 O' k! m2 N# j  set-current-plot "Class Plot"$ F+ W: h" O5 F$ O
  set-plot-y-range 0 num-people
: f5 }1 N! ?/ T! V. c0 a  y  set-current-plot "Class Histogram"6 d* V1 P6 R) c" L* a
  set-plot-y-range 0 num-people
. O# _- f% y8 bend
6 W. j  a; W* ^6 Y. e3 N& G. _" m: S
to update-plots
0 }7 P" {* t$ A' z' a7 F  update-class-plot
1 S; ]  K0 X: G- ]( ]8 w' n8 {  update-class-histogram
; Q6 w1 y3 n$ I' S  update-lorenz-and-gini-plots
. C( c! Q6 A# a" [# O3 send( W. l5 V7 Q! n+ q% O; _8 ^6 @9 e9 R
+ n$ n) {9 V7 F  @6 h3 C
to update-class-plot
5 N/ i9 `# u8 q7 z4 a: c  set-current-plot "Class Plot"
$ b* m4 O2 r# i( L* a  set-current-plot-pen "low"+ |& I5 @. B: m
  plot count turtles with [color = red]
, B+ u, [9 g" [/ N# j  set-current-plot-pen "mid"8 n6 r  y8 L0 O4 z0 Y5 k1 h7 P
  plot count turtles with [color = yellow]
5 f/ _- s; u: e7 O8 ]  set-current-plot-pen "up"
: W) {0 w* h, Q6 v# F, _  plot count turtles with [color = green]1 u! t& Y) e0 T' N
end5 p9 \; G1 z1 E) }  e+ o. j: X. B

8 p9 Y/ P- ~) w& ]% Q% Oto update-class-histogram5 ^- i7 T5 w8 e- S: @
  set-current-plot "Class Histogram"
& [3 s* T: o5 F2 J& w" m% U  plot-pen-reset- ^- l! N5 J* E/ y
  set-plot-pen-color red) c. f1 x# E7 T. c
  plot count turtles with [color = red]
3 `  p! [$ V. j: I5 q( p" J  set-plot-pen-color yellow" v0 |' m+ m* H, S7 `& W; ~
  plot count turtles with [color = yellow]6 n4 {# h+ Z, B$ _3 B) E9 }- E
  set-plot-pen-color green
% e# y3 w7 p( v2 H( w* |  plot count turtles with [color = green]3 Q% K% d- |# U2 U+ C, ]
end% `3 g4 B; ?/ d0 H6 j
to update-lorenz-and-gini-plots
5 g) V+ r) P" G  set-current-plot "Lorenz Curve"
) a! y3 w7 w# N( _3 l5 k% J  clear-plot, S: `# w8 _) O* {) p8 n

$ ~: P9 @# C. s7 g& X  set-current-plot-pen "equal"
0 i% l3 c( |' N* p1 v2 Z2 F8 f; ~  plot 00 C# w: x  Y3 Q
  plot 1002 T+ A4 h. b' [, `2 x6 l
' \! @( ]" d5 Q: a" m4 c1 p! k' m
  set-current-plot-pen "lorenz"8 V, X9 T, }" [8 l, b% n
  set-plot-pen-interval 100 / num-people- Z  v0 ]: ^, W2 n3 a$ M) @4 _
  plot 0
) s$ \2 H( f- a& F
, [0 e' Y2 u: i  let sorted-wealths sort [wealth] of turtles4 y( r9 X' B1 _( H
  let total-wealth sum sorted-wealths
' r! K0 T+ n0 ?+ E' U  j+ o8 t; F  let wealth-sum-so-far 0
. H! Z% B0 e, N  |0 }/ N8 A  let index 0  {( y1 E4 Y4 {
  let gini-index-reserve 00 g. h6 S- V8 Z! b8 @
% y- }. H& a, `+ w5 T* V. e; a7 y
  repeat num-people [
1 k, l3 S" C- o- ]4 C9 Z- g' J. ]1 Q    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
/ d7 j. x$ M$ j+ ^; o    plot (wealth-sum-so-far / total-wealth) * 1001 j$ k8 S  Y: x1 m8 n
    set index (index + 1)
- g3 v& b5 a9 g0 r    set gini-index-reserve. l- x9 r/ e% N* K; k3 f
      gini-index-reserve +
% O$ q) H& A8 _1 m' U! Z% G      (index / num-people) -
8 L9 ]7 h$ J# y+ s2 t$ B2 B      (wealth-sum-so-far / total-wealth)
- h7 ]; l3 ?2 G2 I  ]
" @( x# Z' E2 P- h; ?/ g) W5 a6 m5 X7 i( R% W/ O! a; |; z* r
  set-current-plot "Gini-Index v. Time"
4 C" u. X0 A) b" ~) I% c) b  plot (gini-index-reserve / num-people) / area-of-equality-triangle
' C, ^/ M9 ]$ U# `3 q  [end0 w( l" J/ q' ^, t7 |
to-report area-of-equality-triangle
: s4 d1 }: d' p. A+ f1 k  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* h! p6 @9 S1 q: u" N3 |end
 楼主| 发表于 2008-5-4 15:49:14 | 显示全部楼层
自己写了用的hatch 但加在上面的程序中运行的时候总是出现问题T_T
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