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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9 a) r+ V( P- ?
globals# ^6 ], ]7 I3 C. d
[6 M; N0 `( Z0 I% z6 x/ g& M3 N1 o
  max-grain    1 @; N" w5 m! {: j

. P7 e7 u; Q& f# y" l]
# s: A6 o2 I& v9 V, `  e
8 P, _6 k* L2 ~7 Q& epatches-own0 ~4 p0 b2 J8 V
[
# [* j2 n* G3 E1 W- ^. @! w+ T  grain-here      
' e* T6 j$ \; {3 _. y3 c$ x  max-grain-here  
- \$ N: [9 d0 Y* Z: ~]
+ d/ R( L3 ~5 O) Y$ M  q; g/ i
' q9 z% N! a% a7 k$ q! Oturtles-own
& A3 P. n0 u3 o" ]  M. Q+ u$ M[, l9 ^, e' J; j8 H
  age              
% o9 x3 h* w+ R  wealth         
. n7 Y" E& n1 q( V! \# h) T  life-expectancy  + v* j+ E1 m8 x/ l
  metabolism       6 x$ G; p! P2 ~6 C$ l" O& h
  vision8 a" c& ?- x" }. g* Z# Y7 M# P
  inherited         1 Q* R5 _# ~4 t! Z7 Z) d  F
], \  L1 v) y7 i# D% p$ Y
0 d2 S4 A8 t, \  q" A3 x4 G! e& s

( s, E* s; J' ~- q4 rto setup
  W9 k  Z; U- u) C9 M9 A  ca
' E+ b& O$ I! B" S0 h1 C# |  set max-grain 50
  H8 N7 h% W2 \- I0 t! F) G1 m  H  setup-patches
7 l- E# x% |/ L  setup-turtles
0 ^4 E/ x0 ^: M  setup-plots
2 I% k% G; A( {% t  update-plots
4 N5 M2 ?( ~- q2 Gend
! s4 E' i8 Q' M$ s9 m) n- i. A+ {to setup-patches# M6 e( L: V! H6 S
  ask patches! ?/ f3 J  M3 n" j4 t1 M
    [ set max-grain-here 0
' a2 U1 K0 L. S0 B  F2 W      if (random-float 100.0) <= percent-best-land
5 `0 N* b8 V- L        [ set max-grain-here max-grain/ y! F4 y+ _; J8 ^& d% V
          set grain-here max-grain-here ] ]: W3 Y9 u; o$ d- m
  repeat 5. V' s- |: m8 [4 \8 k& ?
    [ ask patches with [max-grain-here != 0]1 O2 O  @5 p8 O# t; {* x
        [ set grain-here max-grain-here ]
+ b/ R0 z( G5 Z4 [, A( D      diffuse grain-here 0.5 ]5 E  H0 F$ E  c/ F) w2 _* \
  repeat 10# ~+ a% A( k5 X9 V3 J6 J
    [ diffuse grain-here 0.5]          & Q& h, g8 G1 J' s
  ask patches% J  K. V+ s, g3 a
    [ set grain-here floor grain-here   
9 B; F9 ]8 b, _; e" d# t2 i6 N" i* H      set max-grain-here grain-here      8 S. L+ U6 N# m. }4 @
      recolor-patch ], x$ F7 ?+ ?, F& E6 X
end5 p: h; W: k7 W8 o, A
to recolor-patch  
& @2 X) X/ \4 N& Y  set pcolor scale-color sky grain-here 0 max-grain
; J& {7 W$ `3 M8 Send
. C0 h1 l: V3 T) H4 ~- K* Jto setup-turtles
; n" k# s) G. q" v( g0 `5 t  set-default-shape turtles "person"
' q& x, \: N- _# M, T" [1 X  crt num-people
5 a( `' A0 u9 w4 o! @" O# x    [ move-to one-of patches  ( D  ^- k+ i9 ~) m% w- {
      set size 1.5  ' _% Y" x8 Y, O% B- w
      set-initial-turtle-vars-age: X% A5 B3 |* [% Y
      set-initial-turtle-vars-wealth
2 {  z9 N7 q2 x5 E  x      set age random life-expectancy ]
6 q7 d2 r0 N# g4 r/ v9 ~' n# q3 J  recolor-turtles; m9 E! E# X0 n& }( e
end
/ K+ ~5 ?! ^" F4 i4 D# ]
- N! M) [& Q1 \" o/ gto set-initial-turtle-vars-age
$ O! p9 |4 h- I7 N let max-wealth max [wealth] of turtles. A; a7 G9 z" Z2 B: y9 k9 ?
   
& C( L7 X$ n- ^     ifelse (wealth <= max-wealth / 3)
/ G) r3 u: P7 o! t" T% Q        [ set color red ' W' P  i# E+ y, Q# j) Q/ `
          set age 0' V* O7 F6 ?, r/ v& o( h
          face one-of neighbors4 - m+ }4 ^/ ~# e6 r
          set life-expectancy life-expectancy-min +
) ~9 W3 \# s% |3 W2 Z                        random life-expectancy-max
2 w* @; d5 z9 h+ m          set metabolism random 1 + metabolism-low. d/ L1 r8 F1 Q% c8 i8 r& J
          set wealth metabolism + random 30$ B! e, t  O* L) {$ A+ E! d3 g" q) Z
          set vision 1 + random max-vision: p* r, ]6 T8 F2 k
             set wealth  wealth +  Wealth-inherited-low ]) n1 B% @0 ?6 Y5 d1 j6 ?: l
        [ ifelse (wealth <= (max-wealth * 2 / 3))3 I5 K: {( p% T3 l; x
            [ set color yellow
; O: n+ P( N: ]              set age 0
+ V8 S+ {" X8 H+ a3 |; \9 ~              face one-of neighbors4 2 J- [5 R- A8 r. Q
              set life-expectancy life-expectancy-min +
" z; V; f8 u7 y6 S4 ?2 C2 e                        random life-expectancy-max + 1! Q' S- E5 D7 |
              set metabolism  1 + random metabolism-mid0 V% v$ q5 b+ r1 @0 Z" }  }
              set wealth metabolism + random 30* \0 o8 b( N! M7 O, z8 U9 I, B
              set vision 3 + random max-vision8 a# c" [. e4 T- [% X2 c
                set wealth  wealth + Wealth-inherited-mid]0 h( D- e% ~( T, c3 j6 F+ v4 V
            [ set color green
; Z0 X  O- M% b" p+ E8 F& s% M              set age 03 |8 t: `$ ~$ I$ k& _; H! M' J
              face one-of neighbors4
* ^# a3 f3 G2 E1 s& Y              set life-expectancy life-expectancy-min +
1 F5 Q3 Q* |( V                        random life-expectancy-max  + 2* L; D. h! w& c
              set metabolism 2 + random metabolism-up  A5 R. r3 f1 T/ y: m$ W0 n( E- V. o9 S
              set wealth metabolism + random 30# }' H" U9 t4 o. c
              set vision 3 + random max-vision
8 P2 F, u- J  `4 X2 A              set wealth  wealth + Wealth-inherited-up ] ]
: @) F9 x/ y: a, C& m
( H' P  V' E" x1 `6 a* [end
2 z. V2 m2 C) Z3 O% u: Kto set-initial-turtle-vars-wealth  O: ~0 G. u1 n$ Y( L
let max-wealth max [wealth] of turtles' B1 I9 c+ @1 P3 `7 V) w
          set age 09 ~" b) Q( n* T$ q
          face one-of neighbors4 0 u6 ~$ w" T# g8 B( I
          set life-expectancy life-expectancy-min +3 Q' S) H! F  Y9 N4 s3 |3 W2 e
                        random life-expectancy-max
! u# X( F* g$ k+ h0 u          set metabolism 1 + random metabolism-up1 l$ I6 k& [9 V/ p( p
          set wealth metabolism + random 30
  n2 G+ X4 [  s8 s+ J          set vision 1 + random max-vision
1 F9 D4 U+ J9 a2 w5 G" l0 C9 S! {  rend
7 f& B# s1 L% K# A/ W1 tto redistribution) D4 v! x0 f8 o! O; A
let max-wealth max [wealth] of turtles+ U. N' @' b2 R$ m
let min-wealth min [wealth] of turtles8 p% W7 j- j- ?7 C" r$ |2 \
if (wealth <= max-wealth / 3)' U: ^9 b( I& @, N- U
[set wealth  wealth + Low-income-protection ]& @/ W4 z* W) A2 x4 N  P
end; x* \( g0 |% {2 V0 \
         
6 \+ I; r/ v' H3 Mto recolor-turtles
! y: S  ^; p/ g/ c: ^; o5 Y4 P  let max-wealth max [wealth] of turtles; }$ |- X* K/ W- o* l( C& I+ z
  ask turtles2 v& E6 ?2 o+ C/ k  a( T, ~
   [ ifelse (wealth <= max-wealth / 3)$ X+ N9 F0 _6 _  t
        [ set color red ]
" w; _4 I  Q' n' r3 E  s' q        [ ifelse (wealth <= (max-wealth * 2 / 3))1 P4 G7 h5 I2 i0 N7 C% \. b2 _
            [ set color yellow ]
/ U4 F# B  r: A: H            [ set color green ] ] ]
4 w6 r- G4 c' K$ m0 {1 k4 F* X ask turtles [ifelse show-wealth?
7 S' P0 q. Z7 j+ J1 f    [ set label wealth ]
# x5 v/ n. ^' ^% X, x    [ set label "" ]], ~  A# x1 W/ V+ i
end8 _# A' y" ~/ h

, A$ W$ J, g% ~, n3 p, ~* qto go
# H, A2 f9 n$ V6 L  ask turtles
4 u0 s; d- @$ n. l# M" ]1 t    [ turn-towards-grain ]  
$ R2 t7 I# S3 y$ `2 b( J) |$ x  harvest
: U) Y' ?  k) u7 {4 X- L4 l  ask turtles
  F2 p- V: d. d4 {5 k1 x' Q6 i    [ move-eat-age-die ]
/ X5 o" U" @; ^9 x  \3 o" Q3 N1 g  recolor-turtles9 C& O4 C( _1 x3 X
  if ticks mod grain-growth-interval = 06 A7 _% m! a1 R3 ^$ `& V
    [ ask patches [ grow-grain ] ]' z* c" o; u) h3 q  N2 s- ?
     {2 _* F) z* r8 A, z. s1 }. [* F" S
  if ticks mod 11 = 0. P* l  O2 a$ G8 A/ w; {. f, B
  [ask turtles9 B0 z" R- c3 {2 q) Y5 H
  [ redistribution ]]
6 R! G$ i, Z7 _" b/ }6 J  if ticks mod 5 = 0) j: i# [/ G& O& _: ]1 y% x, a' u) s
   [ask turtles$ t2 d) r5 F+ z9 Q% h9 M
  [ visions ]]
: m" l  {1 j5 i  tick
- M9 B5 C' ^6 G2 k' @  R6 m  update-plots
$ [: M. T5 i4 y- H% rend' I2 Q* }& J: Q
to visions
3 q# H! t4 b: O$ r set vision vision + 1 ' B5 l! R/ `! a- e2 }& O
end
/ N7 ?: P2 Y  s; c' b* o, b5 Z; H" @+ W, g( I0 }
0 s: B# o2 i  r+ R9 |( x7 M4 }

+ t- C! V% b* hto turn-towards-grain  / H* h( I9 [/ K3 b1 g. E) c
  set heading 0
, f+ S' x+ C. O5 J  let best-direction 0
, J; z7 t; q' s. U  let best-amount grain-ahead2 r2 y1 {: X2 H8 E; E8 h' h7 J
  set heading 90/ k, ]) V4 u3 F% s* v
  if (grain-ahead > best-amount)
0 s; ~  l# S4 Z/ ]7 N4 z5 H8 C, [    [ set best-direction 90, F) ?- V2 Q8 y1 s8 Q% u, `
      set best-amount grain-ahead ]6 _6 ^4 g9 U2 `8 \4 q& g# [- d
  set heading 180
( J! Y+ M' ^4 ~: b: T  if (grain-ahead > best-amount)
7 @. e7 I" N/ ~* j$ V8 R    [ set best-direction 180
! C( G0 Y4 G( m% N      set best-amount grain-ahead ]
( U4 j( |$ H/ h* Y7 e  _  set heading 270* F' @6 D9 A  q) S# n; s3 k5 X* p
  if (grain-ahead > best-amount)7 s$ M5 Y, \" I" a
    [ set best-direction 2701 ^1 a- Q& W  d" `
      set best-amount grain-ahead ]* Q$ ~4 R* z) C, x
  set heading best-direction
  U* y  \/ R" K2 P4 Gend8 }6 T5 u. }' ]* K+ U0 d2 \
8 G; P( @) ]9 o0 e9 F. L
! v4 U, ]' k. Z+ T8 m, l
to-report grain-ahead  
+ I% \( Z( ?/ z  let total 0
& Q) Y$ G' p3 O5 C" ~  let how-far 10 a1 b& \8 }9 C6 r) A7 y5 _2 h9 N
  repeat vision
+ y$ [  t1 k7 V) w    [ set total total + [grain-here] of patch-ahead how-far, e6 T, p) [( J9 K
      set how-far how-far + 1 ]1 N) }5 ^# C$ |1 U$ C
  report total0 v. S# S; @! r1 M# C
end
$ |/ O' e5 \+ I
  B! ^" V! ]# H  i3 F6 gto grow-grain
, S. [# J$ s6 r5 m  if (grain-here < max-grain-here)* [4 q4 I) |  c8 |6 J' k
    [ set grain-here grain-here + num-grain-grown
1 F& O3 Y* Y- H! ^$ \* S8 A* P; x* \      if (grain-here > max-grain-here) $ b# Z6 S1 r' Y0 o2 V- O4 `; q
        [ set grain-here max-grain-here ]
3 L9 a2 L7 j! q5 F6 j$ s      recolor-patch ]
) h$ x9 |) J! [2 I$ {  cend
3 R. N# c! w  h, K- Lto harvest
+ V+ P" r0 r+ K  ask turtles, b  K6 `: T& D7 D' |
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
5 o) a: Q. G- j  ask turtles
" H- l; F+ y7 j) S& ~/ J# ?    [ set grain-here 0
! @0 l$ T2 U: O! o      recolor-patch ]  u, q4 f5 b- d
  
# H0 L! Y! Q3 U6 i" S/ N  |end
; O0 `& m% C) U3 r2 V! R3 q1 \5 L
/ d7 i( \8 T- i' [to move-eat-age-die  3 }, j  z; l! ~, \3 J6 B7 t: Z
  fd 1
* A7 w. o  F) ]. f( l( F3 n. e' ?& C  set wealth (wealth - metabolism)6 S+ M0 O3 l/ W$ x$ G2 I
    set age (age + 1)0 _4 g/ N* ?' S% x: Z
  if (age >= life-expectancy)
6 i6 k& @& z. z* H6 T* C    [ set-initial-turtle-vars-age ]
, _" [$ a" f# O/ N% [  if (wealth < 0)
; G3 [$ [$ W% F3 V    [ set-initial-turtle-vars-wealth ]/ w4 K4 m" f! }$ J! w- z6 J2 Q
    2 `2 w. e) s. q5 X' H
end) x4 j& @) x8 Q/ j3 w
  j$ g; q& g* g0 G' Y
$ l) N$ ^7 k# d7 s( K, W+ p
to setup-plots
  _3 n9 P8 K+ w# g; x3 n  set-current-plot "Class Plot"$ t  ]8 _( T5 P1 F# O! P
  set-plot-y-range 0 num-people2 A: W2 x. }# T
  set-current-plot "Class Histogram"
$ |) ^9 a  C/ ?5 [# `5 N  set-plot-y-range 0 num-people7 g: o# T) i1 S6 V# n
end& Z; t/ @; o8 T( z; k4 v5 c4 k5 H
1 `. o1 d- n9 H2 R) q+ N! d
to update-plots
  w4 i" y& L1 F6 r  update-class-plot3 r/ V  ?$ B$ u! X
  update-class-histogram
! c# e, ]( X# ~$ u  update-lorenz-and-gini-plots+ n4 z3 U$ X; N# w
end
7 F1 I* {; u% `3 l" K9 e6 |; w3 K( l* h* A* Y
to update-class-plot. q, Q# A0 M' k9 h6 M1 ~
  set-current-plot "Class Plot"9 _( g$ k. j1 I% d, I9 _/ z
  set-current-plot-pen "low"
9 v5 V9 j, T  P9 {0 Z& E  plot count turtles with [color = red]
8 V! B% g  E! t2 L8 ]6 m0 C  set-current-plot-pen "mid"  _$ o: b& X  I& p8 e
  plot count turtles with [color = yellow]
2 N+ I& U( ?/ e1 G2 {" x4 ~  set-current-plot-pen "up"+ r( p- h, @' U5 i
  plot count turtles with [color = green]1 b7 `2 D4 N6 s& l& N5 Y  O& U
end
3 R% C3 v- X' k- P' P: a
! `: A1 U3 d4 Cto update-class-histogram
7 l/ \2 v( C7 D' R# ?* q4 h  set-current-plot "Class Histogram"" m5 o% e8 d/ w# G* C
  plot-pen-reset
' q" b3 k8 u% P1 L# o8 Q  set-plot-pen-color red
5 e7 C5 e: d+ S+ C1 _9 {  plot count turtles with [color = red]
0 |2 ~2 `; k1 l. I, L" m  set-plot-pen-color yellow
" {' o+ x/ u! [! E" j2 h& Z4 K  plot count turtles with [color = yellow]4 u" a5 d2 \0 u4 }' E: y* E
  set-plot-pen-color green$ D" o4 N' ^, d
  plot count turtles with [color = green]/ ]: v1 q% ]( v! M. k6 o
end
. u5 q5 D$ q- T+ z1 vto update-lorenz-and-gini-plots
' G8 y- ?. C2 `" a# J8 ?  set-current-plot "Lorenz Curve"
4 _) E( l4 V* L9 n; k( \" ^  clear-plot
* w; O! E2 I& w2 @% I4 B  Q) u2 F9 G* F* a7 b  F
  set-current-plot-pen "equal"
, e6 E  p5 [$ u% t% j2 M: N' `  plot 0
: M$ n: a. {( t! c  plot 100* U# S  m) u2 e$ b
8 R: G& _6 k2 O3 C
  set-current-plot-pen "lorenz"
3 z, d9 E  C( o  set-plot-pen-interval 100 / num-people, ^  k) g( h0 i* C
  plot 0' T5 y! f5 F2 L2 e) R, F, @

5 O7 B% k7 G* J' @  let sorted-wealths sort [wealth] of turtles
0 e! E" Q6 e6 u) T. J' I  let total-wealth sum sorted-wealths  g) B* _& u# ?% l% `
  let wealth-sum-so-far 0. z5 E( ~, w  f, n6 ?
  let index 0
+ d5 b- @' i+ g# b9 W4 a& c; u  let gini-index-reserve 03 L' L3 t8 W. n: {0 K; o

) l6 @# G3 S3 U  repeat num-people [
4 X' |" L0 N: Y& @' D! y% l3 B    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
  Q- G: z3 o( q6 p2 [& i6 B5 e" D3 n    plot (wealth-sum-so-far / total-wealth) * 100; @$ O5 V  j8 |9 T# \0 K- J) ~; `" B
    set index (index + 1)
- D1 C2 c2 P. [    set gini-index-reserve8 w  E) ~! g- [3 U
      gini-index-reserve +
/ d( ~+ e" T/ @) D4 d2 w$ _2 W      (index / num-people) -
) g# s* w3 x; R' o8 k. w2 Q      (wealth-sum-so-far / total-wealth)
. x/ O# T( Z1 i6 B9 ?& z+ O  ]" A/ k  \* Y' n9 [- C
0 m" |1 v; A" r2 h
  set-current-plot "Gini-Index v. Time"+ j% `6 O9 L! m- i0 X% O
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
* W% h3 Y! X0 i/ l8 bend# X) y+ {  E8 {- ]; A( q
to-report area-of-equality-triangle, F# u$ n. V6 G5 }$ m' r
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
6 @9 N5 Y. S1 }; b7 Uend
 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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