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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
! x$ w- ]2 _: }( [* s0 x8 \. u3 uglobals
+ T' ?: K3 Z0 A$ C[( W* w2 X! z+ _
  max-grain   
' z4 w' x  ~) g8 x! q0 }9 m# O- d( F, Y) e" R6 U
]3 Q1 x% G% F1 F5 q* f: ^

- W: |# U9 {  h$ V" Ipatches-own" ]' X! E7 R0 {
[
3 |! H7 v! R' W! s4 S) A! `  grain-here      
1 S! V' d# M0 ~& ^- B  max-grain-here  & r0 s7 j- Z' a3 R. k3 q
]
* R' d4 u+ L. q
) e$ c% J: K! jturtles-own# m- E9 k2 D4 `2 z+ E
[
% z) I5 y8 f2 q3 [* w  age              $ f7 g( M! b8 F  j) G2 _% e
  wealth         7 d3 _( i1 g( l' A9 L
  life-expectancy  . D& u$ H& p6 t* D8 R
  metabolism      
, `/ |) L/ V, V/ [6 S8 T3 F  vision
8 L5 ?' r9 H* D' h$ @  inherited         
" \7 C4 u& b0 ~5 Z  {9 U5 X]
4 X2 H0 B( G# |+ h/ [" Q% X" Q3 ^! N3 Q' z/ {; a( n8 C

$ m& n0 [) C0 j: O( Y' uto setup
  J5 ~* W1 R8 A$ h5 e6 b+ B/ B, B  ca
* W4 c* P2 \1 [7 k  set max-grain 50) `: B+ p# r# c# o9 q$ U1 R: p7 E; ^9 \
  setup-patches
0 |" \( A. \! X- s  setup-turtles- F0 W9 W; [( o3 l' U
  setup-plots) Z; {$ s7 b& _; [) C3 j* J' ]
  update-plots5 k) f- O  ~  n+ L$ N+ ?
end
, z( a4 N+ |8 I" F  L3 }to setup-patches! g4 h  p0 ~6 `
  ask patches
: D- [' V" K  P! h$ Z" `2 B# k    [ set max-grain-here 0
' I; E/ G: y; T' k$ a& Z      if (random-float 100.0) <= percent-best-land. W0 q" ~) Z. H! J
        [ set max-grain-here max-grain
4 r6 r; F" L6 v) A& G' X  O          set grain-here max-grain-here ] ]
7 W1 g5 H# t  ?" {* M" ~  repeat 5
0 x7 \, G& U; d: `8 P% A    [ ask patches with [max-grain-here != 0]% T3 M( \7 L/ z2 T$ \3 Q
        [ set grain-here max-grain-here ]
* V+ d# w" i. t% f  X, `' r$ h* D, M      diffuse grain-here 0.5 ]
; c/ F" ?+ t6 b/ T% q  repeat 10
7 j  h1 a4 p6 w    [ diffuse grain-here 0.5]         
/ Y* v. z; _% d) K5 \  ask patches
$ |8 Y4 Q, F+ d+ G& j    [ set grain-here floor grain-here    , Q* d# R, {+ V6 r
      set max-grain-here grain-here      . R! U# k7 {6 _3 p2 B4 o; p( ?
      recolor-patch ]
6 N# ?. v! I+ b, Mend
8 p! b  a. T' d% Lto recolor-patch  ! _; C+ w# o1 |/ h
  set pcolor scale-color sky grain-here 0 max-grain
  ^4 m% F0 Y) [' i  [end4 N$ v4 F3 l8 K: _# U3 y% P
to setup-turtles: i# K. K) a+ @" ]% R$ B
  set-default-shape turtles "person"0 I7 {# f& N* g4 L* P9 l! y
  crt num-people; N/ k0 ~4 q0 n2 |9 t+ ^- Q! M, [
    [ move-to one-of patches  
* W: ~9 p: w& M. _. K. Q      set size 1.5  
. x7 O$ k. M& y: X6 A      set-initial-turtle-vars-age
- @# u8 K& s" g* [8 Z      set-initial-turtle-vars-wealth7 m' {9 J5 r! h* l& O. ?
      set age random life-expectancy ]
. U( y# o% h2 N1 J  recolor-turtles1 x2 e5 e, w/ \$ H
end
' I/ f6 }8 X9 s% c. v: B  ^5 o0 D
+ E6 t% U- _7 G# m- W1 ]to set-initial-turtle-vars-age
# s: K4 l  S! A3 [4 A' z let max-wealth max [wealth] of turtles
' W6 r2 R+ Q' A! q- S  O" o    % e- `) u# |3 y. \( V
     ifelse (wealth <= max-wealth / 3)
1 G, C6 y, r* _' n        [ set color red ( M" i! j: Q( h/ n+ e: J
          set age 0
* u' {% k2 ^9 N5 D          face one-of neighbors4
& |! O$ W1 Z" O; q          set life-expectancy life-expectancy-min +: s& y5 |; p& h- W! H' Q" [0 p" ^: H
                        random life-expectancy-max / D9 v9 m/ f1 \) z' l( F7 |
          set metabolism random 1 + metabolism-low
$ P) H" r1 ~2 h# H: ?( u) B1 \          set wealth metabolism + random 30
4 M& G' I5 a& N/ L4 l, v. z6 q          set vision 1 + random max-vision
- ~: H: k4 e$ `2 `9 d             set wealth  wealth +  Wealth-inherited-low ]
$ T7 E1 y5 P* [2 G! o        [ ifelse (wealth <= (max-wealth * 2 / 3))
) g. a& g! E* ?            [ set color yellow % r# C0 K& c0 x, g1 E' @" a" ]
              set age 0
( l1 R+ j" ]3 j8 X4 f  D              face one-of neighbors4
, m0 y; |) ^; W2 x; S/ }              set life-expectancy life-expectancy-min +: s+ L+ U/ q1 F6 b- c
                        random life-expectancy-max + 13 c* U2 Q. a$ E
              set metabolism  1 + random metabolism-mid
. _* C- r3 _1 i" r$ _  F              set wealth metabolism + random 30/ x) H; }, I6 r& }5 S
              set vision 3 + random max-vision; {; r5 H0 r4 l9 W0 r, _- T* K) ^
                set wealth  wealth + Wealth-inherited-mid]
- y4 S3 b0 H, S. L) Y2 m( j            [ set color green : L/ _( \* I& O- M* \% n, O3 j
              set age 07 \9 J( A6 g5 z8 z, n0 r$ n" V. S
              face one-of neighbors4 6 \7 C6 {, s; Y  w" R* y
              set life-expectancy life-expectancy-min +
, O+ p$ y0 i7 P6 J: F                        random life-expectancy-max  + 2
0 ?. k, H- W$ x2 O& u3 d              set metabolism 2 + random metabolism-up, t) l. h! _  R- [8 O1 f" Z
              set wealth metabolism + random 30  A" Z3 c+ a) f4 T, T
              set vision 3 + random max-vision5 T8 d  E. a5 o( v/ r( `) n2 F) h
              set wealth  wealth + Wealth-inherited-up ] ]
( `/ s: V6 Y5 A% m' U
$ s: _% s0 M  p5 s4 Rend2 z9 Q* L* b3 ]9 V  [+ x' W
to set-initial-turtle-vars-wealth9 I5 I) ~8 }  o  ]! k, a( D; o/ {
let max-wealth max [wealth] of turtles
- `3 P1 X4 {9 t2 q8 g3 e          set age 0% J' Y8 C, S7 F- G
          face one-of neighbors4 7 Y6 ]* f7 T9 j4 t
          set life-expectancy life-expectancy-min +2 p4 d# A/ {& U7 y- o
                        random life-expectancy-max $ J0 Z) A6 X" a4 @4 ?
          set metabolism 1 + random metabolism-up
% A+ E# N& O, i4 \          set wealth metabolism + random 30
; O4 z4 Q. \$ x          set vision 1 + random max-vision ! o) o4 U# b. ?
end
% A1 c1 o' c: t/ Gto redistribution& ]& D( E1 ]& u' @6 f) C- }' Q* m1 s
let max-wealth max [wealth] of turtles3 s( U4 @" W* \& h
let min-wealth min [wealth] of turtles& L6 D6 }7 w1 l/ I
if (wealth <= max-wealth / 3)
8 D* i  y/ A% A: a0 I) H& A' Z" c [set wealth  wealth + Low-income-protection ]
3 s# k8 o! r' lend: j' C- N8 ^+ I
          $ N+ S2 |1 a3 y: s5 u, {, ]% b
to recolor-turtles2 y5 }5 Y6 |  T. W8 y) f" X
  let max-wealth max [wealth] of turtles4 f" m" ^' x( w6 f$ v; W3 S& m5 p
  ask turtles
2 r9 k% b6 [+ D3 V   [ ifelse (wealth <= max-wealth / 3)
& Q7 v$ u; o) t' e- u        [ set color red ]
6 k% v/ E5 K; V. ?( }/ x        [ ifelse (wealth <= (max-wealth * 2 / 3))
" ~4 A7 J' B2 K2 o            [ set color yellow ]# ^" ^) T9 D' r5 A, ?' M0 f" M! |1 w
            [ set color green ] ] ]
* a+ H- I, M$ J0 K ask turtles [ifelse show-wealth?) {, {' O2 R: V$ f9 ~+ l2 B
    [ set label wealth ]
: D. v3 k! W! \    [ set label "" ]]( {' k: T! G8 B6 `5 ?! g
end
+ U( `0 p* d9 J# }3 |# J0 W
3 P2 [6 X+ i, e0 U* Q, _2 vto go
6 g8 C/ a/ Y0 N0 W9 _) m* H  ask turtles* l4 O6 b5 t5 X$ I
    [ turn-towards-grain ]  1 `7 Y% i4 {2 G" L6 _+ K% o
  harvest
+ q$ U  Z, M  u$ e8 w  ask turtles
; w- c" l  J1 |" O: U1 Q    [ move-eat-age-die ]
1 ?; D5 E3 E% d( G, M# G7 F  recolor-turtles5 h! y. r  s5 \3 c
  if ticks mod grain-growth-interval = 0
" U! X/ a0 m- v: Q/ J# [/ ?    [ ask patches [ grow-grain ] ]) O, h% c" t" I8 o+ T
   . e7 ^6 [/ a( q% Y2 P4 c8 V/ h  _
  if ticks mod 11 = 0& z+ ~, H8 S0 ~* X9 w0 @- k) ]
  [ask turtles" S( j; B' G( a( A
  [ redistribution ]]
. u  A2 b9 r  _  if ticks mod 5 = 0
0 i( |! j7 J$ {   [ask turtles
8 B( l8 ]" ?4 ^6 ~, r! R  M2 g  [ visions ]]" X/ y& @1 d- p: X* E
  tick& k# K- C& o6 ?8 m# F) f
  update-plots( U$ ^: N9 \7 V; B
end
4 ?2 p$ ^7 s8 g( d: gto visions$ d6 _/ w6 D6 ?  E4 |
set vision vision + 1
, V5 B1 F9 s  o, F. O8 n5 |- B* p& Zend& ]3 S1 n' J) M4 K% |

, H( F1 L3 _% n6 ?5 V8 s% x
" e7 u" i, @3 n3 v) k$ q6 G, U6 a$ T3 H
to turn-towards-grain  
* _  c9 q8 v$ @, l  set heading 0
. ]( |9 M5 G) Z6 S4 V# p* m  let best-direction 04 N7 w) S, _' O  |/ {
  let best-amount grain-ahead
$ E: i# l- o: m  set heading 908 c2 p& }# F$ Z6 D+ B. _8 U
  if (grain-ahead > best-amount)
$ l7 p) U4 @: R$ R. {' I    [ set best-direction 90
2 w1 v" ?' j+ ]% B' u. }8 W      set best-amount grain-ahead ]
( S6 n/ z. \/ Y) t# t% q1 F  set heading 180
" B2 l8 k$ D  E" q; O6 S! ]  if (grain-ahead > best-amount)
( m6 e7 `* I% B* D+ x$ a0 V# v$ f% T    [ set best-direction 180; v3 h9 l9 s! |4 a3 b% h6 g
      set best-amount grain-ahead ]
- f  o, A1 v* l( v) N! t; ^: W  ?  T  set heading 270
  K1 f) _3 S' Y+ e' S; V* J  if (grain-ahead > best-amount)9 v" g& `# b( K; W3 y$ d
    [ set best-direction 270
% s! _' R, g4 |      set best-amount grain-ahead ]# [, j& `9 }) N( O4 P0 P; k
  set heading best-direction3 i9 |  G( S/ _. Z/ R) b$ v
end& j" D' a! d# m8 d/ K

% u8 B7 W- M7 q
+ |7 R) P; B( h  s$ L* wto-report grain-ahead  
, B' ~+ z$ [4 j, ~4 M+ H- y! u) }  let total 0
9 r' I' T8 U0 b4 ^' x  let how-far 1
" e- o% x' q3 o8 b  repeat vision
' Y* L2 C3 t: O2 q7 U    [ set total total + [grain-here] of patch-ahead how-far
2 J! e- r1 i0 l9 \$ R5 S$ e" L      set how-far how-far + 1 ]% s. ?0 p/ m9 S3 X
  report total
* \# b2 h$ A' L3 Pend
: ~3 x4 [, p* x3 V/ a& r& L8 t9 {+ C2 j1 ^  e5 _/ w: k
to grow-grain
/ L) ?' z& V7 k9 t; S. m  if (grain-here < max-grain-here)
) s+ |5 a2 n7 g1 n! Y    [ set grain-here grain-here + num-grain-grown
) F  N$ l) g, z5 e      if (grain-here > max-grain-here)
1 A5 a9 t2 D' R        [ set grain-here max-grain-here ]/ `+ i( a3 a! m) \- O! \
      recolor-patch ]% u7 N& H' n1 P* L. E" p
end+ y  n5 f2 Z6 ]  s* ~1 U. S
to harvest
1 [# y8 w" Q: [1 S7 H! w( k  ask turtles9 M  ]4 t" R$ j- L: ?6 Y$ I; Q
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ], p* n1 K: e9 y$ {. S
  ask turtles( \6 {9 r4 z( c* {" {& L1 t8 w1 @
    [ set grain-here 0* L8 `2 r' r$ O3 L7 X" t
      recolor-patch ]
  i5 j6 @8 ]- Z9 e! f" f' {  
  Q; M- X2 z8 m* [* hend
/ v/ n) \) u7 k8 \9 R
& b+ g* ?' e+ P- R# cto move-eat-age-die  
' D: A  I# |  K  }% l9 B  fd 1; ~4 c8 E4 J, J4 S
  set wealth (wealth - metabolism). ]* J+ D1 b. _! l5 S/ T- {; ^
    set age (age + 1)
) a+ J: D- `) c: @: n$ K  if (age >= life-expectancy)" F: E2 b! D7 A" x: ~5 v5 ^- j
    [ set-initial-turtle-vars-age ]
( Y& s& q7 C3 a+ m/ [" U0 r  if (wealth < 0)  x$ H& ^8 W, J
    [ set-initial-turtle-vars-wealth ]& m. y% `4 k  @7 @/ D: B
    6 Z: o9 h- m6 }+ S$ S* [1 A
end8 B, n( O* N, w, S$ z: j
  e$ o) B9 _. F7 n
: s9 a8 k, K4 O! l' {
to setup-plots
: R. R2 a9 z+ d+ l  set-current-plot "Class Plot"
- p  _* m* `' d2 u, E& K  set-plot-y-range 0 num-people, C8 X/ Y9 w- Q% q6 J6 a
  set-current-plot "Class Histogram"; f) J( z  N8 D
  set-plot-y-range 0 num-people
: z) x  `. N! y' H4 z0 l$ Lend
/ r* w/ m9 d7 _9 N: m3 E* L
( x# y2 H! ^8 c( g2 m! B3 Y6 Q- tto update-plots- S- M2 w& p* Y
  update-class-plot8 C) i/ I7 F1 T4 v8 `
  update-class-histogram, C- _) y' w4 F0 F8 V( Y
  update-lorenz-and-gini-plots0 J4 B8 m, O$ b2 `& G
end- m' f$ o9 x# y) e0 T: n' i
' C7 B; q( h  e  L: j9 }% y
to update-class-plot) U1 W9 m" K4 `  Y. q/ \  b' h4 N
  set-current-plot "Class Plot"
  A$ |) i, b/ ^% ]0 D# `  set-current-plot-pen "low"2 |/ N, `8 B/ y
  plot count turtles with [color = red]
1 M/ h& E/ r7 `5 J3 [, P4 b  set-current-plot-pen "mid", m. I9 s# e& l) q4 A+ J2 K: K" w
  plot count turtles with [color = yellow]0 e8 e, Y  [; W# ~
  set-current-plot-pen "up"( l1 q. M2 ?6 D3 k6 \: @( `) O  k
  plot count turtles with [color = green]! o5 `$ J- f6 n3 [, G- Q) g
end
7 u5 t% ^8 k8 L7 q2 x( x
" F! e$ G& b& z/ W# M7 m% `to update-class-histogram
; r; s/ }0 Q3 U5 n: ^9 p, r; z* ~+ R  set-current-plot "Class Histogram"
4 n/ N3 b: n: e" ^- }% q+ b& }" X  plot-pen-reset2 N8 C  i& z( d" g
  set-plot-pen-color red
+ I" O1 M# I- z+ K2 v1 q  plot count turtles with [color = red]
$ X8 f" t; m7 p2 Y, e/ J* K  set-plot-pen-color yellow' A3 J3 }  L+ b! S+ V) B/ F
  plot count turtles with [color = yellow]
+ Z( d1 a2 m( V* R  set-plot-pen-color green: z+ Q) j$ Q6 T6 s; e6 U0 J6 x% [* X
  plot count turtles with [color = green]
5 T5 J) _1 A; Z& @end$ N1 N7 i% S) G! |1 [2 _  p
to update-lorenz-and-gini-plots) m4 g8 r% V+ H4 ]
  set-current-plot "Lorenz Curve"
3 B2 V5 o9 @: J  clear-plot
) ^0 D7 J" m4 e3 ?; @  ~/ @7 h1 b( s: o9 x. L" T4 m
  set-current-plot-pen "equal"7 U' D' p5 Y8 f/ T
  plot 0& G0 b; |) z) m: [5 W) x
  plot 100# h5 B/ a% M! z$ D" E  l
' o# U; ~5 l- F8 ?/ h
  set-current-plot-pen "lorenz"$ V! L& N) t1 x+ M% l# |
  set-plot-pen-interval 100 / num-people
' J6 R/ f, p" k4 H: u9 ]/ y6 u  plot 06 Y2 a  H7 f! ]0 u! ^

# O* Q0 [2 Q: \3 h  let sorted-wealths sort [wealth] of turtles
4 B5 Z8 |6 g8 u2 _' o  let total-wealth sum sorted-wealths4 @7 F) a" W& c% Z
  let wealth-sum-so-far 0
3 v7 ?9 o  R3 A' W- h  let index 0) Z+ w7 Y0 r/ E# I2 o
  let gini-index-reserve 06 P% p, x; P7 `' n: I% m
1 p3 P6 }; s( i9 P/ e- I9 G
  repeat num-people [" r6 `9 p$ I4 `8 n& I& k
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 l& {# Z* }1 i' f    plot (wealth-sum-so-far / total-wealth) * 100
8 Z4 r1 Z9 L% C; ?    set index (index + 1), c1 ?+ X: |' g; |) Y/ @( E
    set gini-index-reserve# n4 |! ]1 f- F2 A4 j7 H: g
      gini-index-reserve +; _) ~6 |9 G8 T* v) ?1 W# b3 d5 W+ ^
      (index / num-people) -
- T8 n* t( r/ C# p1 \. K      (wealth-sum-so-far / total-wealth)" R( b0 g. p9 W* J  x$ V, I( _
  ]
' d  Q  O* H: y. a. y
6 R# h. h" S  B/ V4 I, g+ J' O  set-current-plot "Gini-Index v. Time"2 u$ C' C' ]3 K$ X( z2 T
  plot (gini-index-reserve / num-people) / area-of-equality-triangle6 L6 b6 v8 r- \' w$ b3 k
end$ }3 G6 S: Y7 U0 N5 t, i
to-report area-of-equality-triangle
" N8 T; z7 Z7 R3 m$ J7 k  k/ k  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 }: [# \5 m3 |! R2 K5 Z$ n' m) S
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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