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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
- ^/ ~$ d) {: R& Aglobals8 [) n+ ^3 P  G, ?
[: ?, ^" i! `* w) ^/ _+ S% v
  max-grain   
( h; a! k8 s5 }$ c) a+ U
' L1 z; O$ Q3 s7 T3 B" X]
0 [3 h! u) ]5 Z: @  D2 G, e- [4 P: j/ ^' A
patches-own  C' J3 s( [- \9 m% N# [- V
[, q0 F/ r6 s7 j. o7 ~% o4 r
  grain-here      3 T* ?; ~$ d; ?! [! m" b8 y+ d
  max-grain-here  5 @. d8 A) U5 [+ B* _) q
]
6 J4 H# ~9 V7 C0 A. q* h9 F1 k) \
turtles-own
' ^/ h7 F# b' ?4 q9 C% r[) @9 g, ?( Z/ m% E3 r  h( G: v( a
  age              
/ p: r$ R8 d2 q- h+ Z2 `/ A2 g  wealth         + K$ g4 g  w! M/ I: p
  life-expectancy  7 S/ S, V/ A1 \" F
  metabolism       5 O/ i) e$ h' d" Y7 w/ R
  vision  Q1 |! T( X! l" {4 V5 @
  inherited         
7 B: D9 o. o4 L. b1 C, S]
( Y9 B, G5 f0 b. U' I( d( r! k. M& f1 B+ W5 p

$ e" M. [2 a, K# F, x; ^to setup
4 |( e$ d& b! J4 R1 w% n  ca
) E/ N  f+ D4 e- u  set max-grain 50* p3 ?- q4 e! s
  setup-patches
# c  Q; W' n& N4 W+ A5 T  setup-turtles6 T2 K  n. E" b1 _+ x
  setup-plots
7 E+ X: |3 ?' J2 U  U3 t$ @! h( s  update-plots6 w+ J1 ^% P  o9 s% y' q: m* X  I
end1 w. ]: k% f6 s1 N; }
to setup-patches5 P4 h% `& s: B; u: E
  ask patches0 m  p7 B. x& x1 ]0 Q1 R- K: Q
    [ set max-grain-here 0% H9 ~9 C8 D! t: t8 m
      if (random-float 100.0) <= percent-best-land
, x: Z; o% o3 B8 c" N# L        [ set max-grain-here max-grain
- N) G, v( s; x& N  @6 Z          set grain-here max-grain-here ] ]/ |% g) U, N9 _7 r* l5 ?3 Y
  repeat 5
/ H5 x" e4 P+ x0 L) N) a, M    [ ask patches with [max-grain-here != 0]
# N- \: X( {& d7 o        [ set grain-here max-grain-here ]7 M: F' \- a) `/ `; O
      diffuse grain-here 0.5 ]6 f0 h3 {6 Q: U& S2 O
  repeat 108 j. A& w# G( W/ z/ j8 s  f2 t
    [ diffuse grain-here 0.5]          ! }* }" x" v% X
  ask patches
) J- ]6 ^5 @* }  l8 l: s    [ set grain-here floor grain-here   
5 s" m! U2 m" T$ ]      set max-grain-here grain-here      9 ^% ~: y5 h8 T
      recolor-patch ]* ~& K0 z! y5 K/ E+ J
end
. w  g/ j  w( ^to recolor-patch  2 j% Y0 \7 P! Q3 l; C% E
  set pcolor scale-color sky grain-here 0 max-grain) ]* }; X( W1 T; ^7 a! C' w
end
' {! M. C% d& ]4 g0 @% e2 xto setup-turtles3 N6 i; X# e6 e  B& S, L: }
  set-default-shape turtles "person"* R6 C( g5 }/ U  J3 E% R
  crt num-people
% h- `" _  g# T7 D" X8 M/ \    [ move-to one-of patches  $ O8 i% L2 k/ @
      set size 1.5  
* ~) k, Z$ G3 x) N5 C0 W/ d- r( G1 f      set-initial-turtle-vars-age
( I) j: M/ k  m2 N( j- e      set-initial-turtle-vars-wealth0 U8 C5 [: O* V& D; }
      set age random life-expectancy ]
+ _- S" O1 R9 K$ R5 X* P1 z  recolor-turtles
" G' [8 n$ f4 f6 l) w6 M2 aend. O) H7 X# \$ z* C- h

* h4 e; `0 ~7 N6 ~* f6 Eto set-initial-turtle-vars-age( E, j; ]- C  b3 {6 z
let max-wealth max [wealth] of turtles, j. B1 P$ Z  B0 o
    3 \& r8 u5 W* C% p! q& u" `9 J
     ifelse (wealth <= max-wealth / 3)
- f* Q- J6 v8 m" d        [ set color red
# j! `" w# }9 z( q          set age 0
4 e' n6 T) L! K+ p$ z          face one-of neighbors4 . R2 Z( L# J9 L( N$ Z0 r
          set life-expectancy life-expectancy-min +
! g4 |2 R7 Z& M6 C" c5 x9 b                        random life-expectancy-max
: M/ r1 r& h# H0 r7 L4 w  L          set metabolism random 1 + metabolism-low, g+ T6 v$ w) E
          set wealth metabolism + random 30
8 ~7 i- w2 }9 M  @8 U; X$ b3 X          set vision 1 + random max-vision
1 K3 R3 d3 {; z. A+ Q) r             set wealth  wealth +  Wealth-inherited-low ]3 e$ a' X+ W# ^
        [ ifelse (wealth <= (max-wealth * 2 / 3))& S0 B) ~* i& f2 ~
            [ set color yellow : S+ A0 N% f: W% V
              set age 0
8 e# B4 p: I$ ~& t! N  J              face one-of neighbors4
* a# N; b' o2 S$ q8 M' U* K              set life-expectancy life-expectancy-min +
& Y, X/ l( N; o8 e& [                        random life-expectancy-max + 1
" C2 o  |+ g4 j/ L              set metabolism  1 + random metabolism-mid; [! T: t1 G; k; A
              set wealth metabolism + random 30
- D& E/ S4 Y' W% G2 `, i$ ^# }              set vision 3 + random max-vision
+ n/ z0 _0 R  n) D- w( Z6 d                set wealth  wealth + Wealth-inherited-mid]6 V/ q: I" o4 V
            [ set color green : w' q% x/ ~+ N8 F% U- M. a
              set age 0
, M4 g# }) H0 k  O              face one-of neighbors4
9 Z! t% h( U( Q9 _  l              set life-expectancy life-expectancy-min +
& N4 u* l- W7 y; x' v3 [                        random life-expectancy-max  + 2
7 q9 I9 V# D$ d; p6 Z6 u8 V              set metabolism 2 + random metabolism-up4 ~+ @* K% }' q0 s% R
              set wealth metabolism + random 307 C6 w7 U$ a( N$ b! r+ r7 |& J
              set vision 3 + random max-vision$ o0 n" s8 x) D: T4 R3 h
              set wealth  wealth + Wealth-inherited-up ] ]
0 g- c5 k: J' d  _7 {
: ^  p7 e( }6 v0 r/ X, F8 Yend3 p0 g0 a# Y5 u& H
to set-initial-turtle-vars-wealth
2 j* u. v0 X# d  u+ ?1 z) D let max-wealth max [wealth] of turtles
5 c+ t8 [9 ]% ~, ~5 U/ `9 G- f          set age 0
8 _& s) j; e  o- A  g* b0 X          face one-of neighbors4
2 @  o1 c+ \! Y2 e3 N6 K4 X          set life-expectancy life-expectancy-min +
1 q; j. }" E3 j" J. e                        random life-expectancy-max 1 w# H8 @3 G; P, }- P4 o  f
          set metabolism 1 + random metabolism-up
+ R& r: J* f, N8 y3 ]$ D          set wealth metabolism + random 30
2 U: x! d1 c4 e8 E# A% N          set vision 1 + random max-vision 1 P# E$ r3 w1 }1 S8 j
end6 G4 m# P9 [( g- ^7 i) P( \
to redistribution
' B# \8 X' V2 h5 ?$ {0 J! X8 Vlet max-wealth max [wealth] of turtles
1 t$ v: B: _/ ^  m" Y0 ~let min-wealth min [wealth] of turtles* U( i8 F  n* V. M% t7 f
if (wealth <= max-wealth / 3)( m8 D! R7 l6 O# v5 b
[set wealth  wealth + Low-income-protection ]
( S8 y  w- p0 j1 E6 dend/ I4 d3 T5 t% @# H% s5 s9 m
          4 [, q/ \4 K5 X8 j- t8 P* ^
to recolor-turtles
- s7 V6 a1 c4 G: x. d. o7 @% e  let max-wealth max [wealth] of turtles
, R# e' g' ~9 A8 |$ `  ask turtles
2 M4 j  B) w: p# o" t   [ ifelse (wealth <= max-wealth / 3)
  R# w% F8 `# ?        [ set color red ]
3 k2 `. ]4 W5 _7 n  q9 Z        [ ifelse (wealth <= (max-wealth * 2 / 3)), S/ X7 m" k! p9 ^2 N9 Z
            [ set color yellow ]# N$ D- ]5 A9 p4 K% ~2 K6 @
            [ set color green ] ] ]" T$ \* L9 F4 `8 e3 n: [
ask turtles [ifelse show-wealth?
0 X8 d$ G4 [  V$ W    [ set label wealth ]6 Y$ }  Q3 i1 F
    [ set label "" ]]
/ E& P3 K4 J& f& Xend7 T+ Y% U5 p8 m$ H

1 ^6 I/ k8 V& u: E  v# D  ~to go- \/ m' g) b% Y* M
  ask turtles, ?7 y% s; `8 E3 B, q# W
    [ turn-towards-grain ]    V+ X6 P+ S2 g
  harvest
# l0 p2 A! \4 T8 \/ m  ask turtles4 z, N( u3 u% I8 y
    [ move-eat-age-die ]  i( A: Z% I# y. H; I; U
  recolor-turtles
  S9 b  D! D7 E( k4 L  if ticks mod grain-growth-interval = 0
, Y+ C: t2 s6 i! z    [ ask patches [ grow-grain ] ]
! g" \7 T1 e3 X0 U7 x- G7 E   
1 O1 C: U: U& H5 b/ j* s' B  if ticks mod 11 = 0( r* s/ Y/ I% v* k) k
  [ask turtles3 J# S/ k& p# T  j1 A2 c: Y+ a
  [ redistribution ]]! g, s2 J2 z2 m5 U0 m) _
  if ticks mod 5 = 0- Z  x$ `: ^7 }' Z) x& H! l
   [ask turtles
4 ~, n3 S$ l- j1 Z% H+ I! g  [ visions ]]& ?- d. t3 Y9 Z/ ~
  tick7 b3 U* _* T, E1 M
  update-plots0 [; z0 F& Z6 m" |
end
2 x  Q/ ^- ]6 @- hto visions0 d7 i5 D% p0 x
set vision vision + 1
0 t2 P% Z7 F6 V: r. g% X* Kend
, E1 X6 U0 G8 s' P
5 ^9 L2 T8 \+ L4 L; g6 s( {/ V! b2 U4 u, g$ ?
4 _! ~& O! H4 k) m9 b: y
to turn-towards-grain  , H+ N5 H: S" F8 ~, d! z0 H2 f
  set heading 0; L4 [" p4 v0 @+ P* _- C/ I4 S
  let best-direction 07 U7 M; \) R  h* C# g0 s
  let best-amount grain-ahead
) u3 b+ E0 C  [- G  set heading 90
! b- e) R" C6 r+ C( U: I6 w  if (grain-ahead > best-amount)& b+ U" i' Q3 m) p) T7 z7 z
    [ set best-direction 90
) p, [) b- @4 {5 ~7 g$ W+ h      set best-amount grain-ahead ]" g  l) e. L  v0 t  T1 K
  set heading 180
% _8 K* B3 l6 x$ t; ^9 Q$ f  if (grain-ahead > best-amount)
' H3 f1 t& ?0 X) d" K8 m/ I: b    [ set best-direction 180, X2 n" W7 Q, P- e" @/ z
      set best-amount grain-ahead ]
) u9 g9 K' A% R+ {( }8 _  set heading 270
+ v7 D2 P: p& Y' L; |' E, ?  if (grain-ahead > best-amount)3 I, n, [  D) i. b
    [ set best-direction 270
( ?6 ]/ M1 F5 H7 P8 \9 `      set best-amount grain-ahead ]
- X% D3 v1 f4 @8 @0 I9 e  set heading best-direction  z, n/ V& B9 C- c3 k9 F+ L
end  F, x2 I# W9 U! e# d* e8 E# p9 r4 x
$ ?8 ^2 r8 G: Y+ [( x* A; ?

" c  T0 m. m# Eto-report grain-ahead  ) ?% P2 }7 _6 b% Z. d5 U4 C
  let total 0) Y, A" v% p3 E
  let how-far 1
+ a% z6 s6 @5 ~( J4 o  repeat vision1 O: D( m2 e; f' L4 J$ S$ b
    [ set total total + [grain-here] of patch-ahead how-far3 y. C7 m5 h: r
      set how-far how-far + 1 ]9 N+ O8 S3 t4 ?4 S0 H& Z; W
  report total1 c6 U% O; E! {* w- k
end0 S$ f2 ~. J& X
9 f! Q$ B7 g2 k8 V+ U
to grow-grain 2 _: ]7 l( Z; y9 `
  if (grain-here < max-grain-here)
* {3 z7 q3 Z0 b9 P# s+ ?4 @    [ set grain-here grain-here + num-grain-grown4 A  }# t3 m9 Z/ B% [) r! o% t& v9 k
      if (grain-here > max-grain-here)   c' a' W7 ]7 Y: \5 Y% @
        [ set grain-here max-grain-here ]+ S; @6 P2 L' ~
      recolor-patch ]+ o2 z9 r: V+ ~( H  K6 n" g; {
end( ~' H" k! e: A/ J0 s( p, x$ P
to harvest; q/ E8 j+ x. N& `7 K
  ask turtles
- L7 l& e, Y% c# S! Y    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ S1 f: ^' ]* g0 z  ask turtles
! V6 E. \; ^% H. _    [ set grain-here 04 r* \3 c% }9 [7 x% F$ e! ]
      recolor-patch ]
# Q9 z! n4 @$ i& l  
2 J4 V) j, p! l7 h( tend
1 @' K2 S/ A1 A/ Q$ v+ W
" z- J9 `+ }! _to move-eat-age-die  
' U) E6 a; j, T8 D  fd 1
, T$ H6 t+ P2 `/ I5 Z  set wealth (wealth - metabolism)5 U+ A! K% y0 Y3 H
    set age (age + 1)
' u; }4 _4 d, G  if (age >= life-expectancy)
! c) _9 r4 K* E- T( r    [ set-initial-turtle-vars-age ]8 Z; M& e$ g# C
  if (wealth < 0)! c1 i4 J! e4 \) ^: }3 t( G8 K  t
    [ set-initial-turtle-vars-wealth ]" Y+ [9 {+ L6 |  o+ c0 ?) S
   
8 E7 q: Z6 L9 x) o4 Tend
* S; t. U1 _3 m: I
1 I% x" j6 s2 `$ |+ ]
$ j  d) f. n* c2 E" dto setup-plots6 D: u; _) q1 N6 Y$ V/ q) M
  set-current-plot "Class Plot"& G+ w6 ?$ B7 p, h- H2 r
  set-plot-y-range 0 num-people
9 Q2 m7 o6 K: {' n  O  s! n  set-current-plot "Class Histogram"/ e  ]+ r! N( C! P; Q
  set-plot-y-range 0 num-people
5 h1 L3 j) ^" w. x3 G6 e8 ]end
& `/ w& G0 `; G7 \1 L" l+ q) A# p
to update-plots
3 _5 F8 g% V) p, F) b- d4 @  update-class-plot
8 J. s. C/ ~6 q. [! I9 v  update-class-histogram! K/ r5 G: `5 {: J
  update-lorenz-and-gini-plots
4 ]; O! b" ^5 P3 m& S6 I$ A- ^end
) e# w  u* H2 D! e: B+ f2 w# i
6 R8 l" V3 M3 N' w; T  w( a9 bto update-class-plot# Q: ?/ o  U7 t& t$ V, l" E
  set-current-plot "Class Plot"1 B7 X7 Q% d! V" D8 [/ `+ {4 ?  ]8 l
  set-current-plot-pen "low". V& y5 c) x; y0 M. d# ~
  plot count turtles with [color = red]) U- E- A* t: _7 H8 s
  set-current-plot-pen "mid"
# q# h/ b; ?  d! U  _4 _  plot count turtles with [color = yellow]" b- \5 X# F- V/ }) B
  set-current-plot-pen "up"
9 A; y6 X4 ^% d% k1 h+ x  plot count turtles with [color = green]
8 J, g( T, y4 y& L% S$ Q4 fend
! j4 l  n. h) C: @" C) m6 D
1 _! D! H9 Y# j3 Qto update-class-histogram: \- o; N6 p% z$ t+ C" F1 r
  set-current-plot "Class Histogram"
" u1 r7 W3 ~4 K) E  plot-pen-reset
7 e; M1 C! O) Q4 M5 t( @6 e  T  set-plot-pen-color red
5 j" E4 A$ L9 }3 X7 Z  plot count turtles with [color = red]1 @% x" y8 z4 m
  set-plot-pen-color yellow
( k+ f6 l2 k: W. H/ ?- `) E  plot count turtles with [color = yellow]
. h5 h. e1 d/ C' B( h  set-plot-pen-color green9 Z' r+ k4 a8 d; ]. r8 L
  plot count turtles with [color = green]. u+ z: ^+ ~! f$ p4 p. B
end
# f) F' `3 f+ tto update-lorenz-and-gini-plots
  l. I$ ^5 j. [0 \2 w0 V% D+ B, A3 k  set-current-plot "Lorenz Curve". c1 ^8 z& D8 Y1 @
  clear-plot
2 W  i. e* b! q% F" B+ _& q4 v4 g, g; u& r. x
  set-current-plot-pen "equal"1 V2 H7 \! K5 i% r: Z4 S
  plot 0
5 `0 h1 z* @6 L3 B5 X+ A+ D  plot 100
" L% v5 P* N" x. Q1 k# K7 _( \9 l2 K) ^" i$ {8 p
  set-current-plot-pen "lorenz"" A# @- R, l+ ?! P' B# I% ~
  set-plot-pen-interval 100 / num-people
* ^1 y6 y2 A, l" `  plot 0
$ T+ Y' e" g& Y2 Q
' m2 d( W9 w2 m! L7 H: b  let sorted-wealths sort [wealth] of turtles
& d! u* G2 _. Y) M/ S4 v3 {  let total-wealth sum sorted-wealths
& x% ?- `! n8 {3 o  let wealth-sum-so-far 0% {& _/ j- d. {' ?: N) j8 {
  let index 0
" J) @# A, _$ l/ W1 M: l6 _3 k7 p, I  let gini-index-reserve 0
; i/ |2 e' g3 M( o; [
2 y4 c6 k, l3 I  repeat num-people [3 u: ~6 s0 r" S
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
; ^1 v- s5 Q4 `    plot (wealth-sum-so-far / total-wealth) * 100% P$ p! F' m$ B  m7 ?' E
    set index (index + 1)
7 o: X! z% Q, a# L& ]0 }0 H    set gini-index-reserve
4 w$ A+ k$ O2 s      gini-index-reserve +
7 L% K1 k/ P9 ^      (index / num-people) -
* O% N( L: Y% t4 M9 I" N' C      (wealth-sum-so-far / total-wealth)
- p; j  b, b0 i7 ]! o  ]) m" e( }( b2 f9 C$ b- f
5 |8 Z0 l, y) `6 i! g
  set-current-plot "Gini-Index v. Time"
+ }7 X! |9 P% ]2 n- w  plot (gini-index-reserve / num-people) / area-of-equality-triangle8 s5 U  n! ~3 v! U0 ?9 L5 q& K
end- R: ?( I- O& K* [
to-report area-of-equality-triangle
8 L1 p. V' [+ P$ ^6 a' Y  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
/ I1 A2 V0 O- \' B% ^. Send
 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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