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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$ i1 l  c! x1 s2 a
globals3 P( u" i. S  Z; I: M0 O( H* H3 o
[
3 Y% j( e5 i9 `& F) i) K6 u5 Z  max-grain   
1 @7 l* g4 \. ?9 G, b* O+ y3 \$ s2 g4 a. [3 f: t* [
]
. B, m4 Q7 R) i" c8 [/ q5 e. R% b
patches-own9 J. ^8 O0 h$ G) W& C! }# o
[
9 B( C" e: Q) q7 o* W: a; O- }  grain-here      3 @0 j) ?/ P1 _/ D1 t; W
  max-grain-here  
5 {9 N) S/ W( U% L" _  {3 z% Q- ~]
% b9 E0 b) Q7 h# A3 w+ O9 y/ N* o+ Y
turtles-own
. Z; t+ ~# j1 J4 \- G5 s[
0 J: ~) ^0 S; T3 z- j  age              & h% w3 }; ]% \9 V4 p" a
  wealth         " H  d! ~2 |. ]$ R9 p; S& [" n# ?. o
  life-expectancy  # q8 r( ?3 c& a5 j
  metabolism       3 e8 ~. C9 ]6 ?( R3 U* n7 G" R
  vision# \8 B, S. _9 K/ E
  inherited         
/ s2 f! U9 \$ f7 ^]
! F0 h* `/ [) `% \! A
. Q0 o1 q3 q" N- t) W( J# t- g6 n6 a$ _$ v7 C3 {0 |, g9 [
to setup4 D+ m) J, a6 C5 ]- v
  ca. T, I8 W  u" c
  set max-grain 50) f& S( d' i4 L; @
  setup-patches8 R: C! H" G- B. q: J+ u
  setup-turtles
- t4 u# F2 j( q* [1 F+ q# P6 s  setup-plots
' d# a/ j, L3 J  update-plots
- R( t' ^2 u- R; A6 Xend' @" B8 T; S; X) _, p3 w/ ~/ |
to setup-patches1 ?" Z: B# k% B& k& b3 j* m
  ask patches
) Y+ W2 P: ~! {. m0 i    [ set max-grain-here 0
& l* m: U/ Y, Y% q* X      if (random-float 100.0) <= percent-best-land; K! i7 H; H9 t% k/ L' R
        [ set max-grain-here max-grain
7 w$ c: }) F5 {$ n+ i          set grain-here max-grain-here ] ]4 ~* O+ H) S" o: \: G
  repeat 5, L- `1 x2 E, r1 @4 d9 M' J
    [ ask patches with [max-grain-here != 0]7 L: {# E1 i) e# o
        [ set grain-here max-grain-here ]
& m% W  B7 T2 o4 ]4 M" @( p* }* E1 x      diffuse grain-here 0.5 ]' z3 A$ f9 R+ R  `$ a" E- y
  repeat 10) F1 ^! e8 q. H! t* N: r/ ~
    [ diffuse grain-here 0.5]         
( Q9 O* Z% |: @  @  ask patches
  {# a# d$ n1 n1 [9 D3 @: t    [ set grain-here floor grain-here    6 _; T) S6 A8 t6 u
      set max-grain-here grain-here      
  j6 U/ e4 ~1 ?: }9 _# d      recolor-patch ]
& a; N! |& b' S& \& Send' E* ~# Y% {+ I$ B8 z, \
to recolor-patch  
- q7 u$ I. U5 S9 O9 D$ D* O" w' w$ N  set pcolor scale-color sky grain-here 0 max-grain. }- j3 Q7 z) e, H" L" e: q( T* [
end
7 G- O5 u; {! r/ ]7 q' x$ dto setup-turtles# g# H/ p% c. H5 w- D
  set-default-shape turtles "person"
' r1 s9 ?# J8 ~( |! ?0 |7 B  crt num-people
2 a7 R$ H/ L3 \) J6 d    [ move-to one-of patches  2 f! b2 L4 X. h/ T' _& A
      set size 1.5  
! t# s0 y1 U# k' L5 [      set-initial-turtle-vars-age0 u3 e& q$ |1 w1 t' H
      set-initial-turtle-vars-wealth3 \# e) `& [( l2 \- D- S$ X  C
      set age random life-expectancy ]9 Q* @2 n1 w% j* X
  recolor-turtles& U) b9 \7 y3 f1 p3 n
end' s: ?9 l8 d) ~9 V
! z* {; q: e" K& L' U3 Y5 G# K3 W
to set-initial-turtle-vars-age# L3 i# ]5 P! a6 z4 b
let max-wealth max [wealth] of turtles
- w+ l3 `5 x8 i7 S9 ~   
% I5 {9 u) d- G% v3 S     ifelse (wealth <= max-wealth / 3)
; L# @, R6 k% j# a% p        [ set color red 8 i5 W) f7 Z# u9 z1 ~; |- S2 c; I
          set age 07 D! m6 f: N$ u8 f2 j, l
          face one-of neighbors4 7 m' e# ~% D3 w/ \
          set life-expectancy life-expectancy-min +
+ Q: }! N, U4 U7 Y1 F* J8 e; i                        random life-expectancy-max
# z/ I$ T% S- C3 V          set metabolism random 1 + metabolism-low) V5 ]! L( M: H1 ~6 x. M- f6 I% `
          set wealth metabolism + random 30% W! n% }& _1 ]/ l$ n' |+ B" {0 Q
          set vision 1 + random max-vision6 A1 [! k( i* e6 R5 e
             set wealth  wealth +  Wealth-inherited-low ]7 }# G: r, g- Q/ f) }
        [ ifelse (wealth <= (max-wealth * 2 / 3)). D3 k" j2 r4 Y* E
            [ set color yellow 0 S0 v# F/ D, M/ |; a  s) b" i) Z
              set age 0
5 Z, D2 h! S7 w0 F' A/ M7 N              face one-of neighbors4
5 S& q0 }0 `( S/ q3 O  s5 y              set life-expectancy life-expectancy-min +% L3 |" A5 X" W6 ^( Y
                        random life-expectancy-max + 1$ K9 F5 r; ]; x' R
              set metabolism  1 + random metabolism-mid
, `2 L+ l' [& }* I- w              set wealth metabolism + random 30
1 a5 Z5 X6 M% C' w8 B9 Y              set vision 3 + random max-vision7 R( W/ F9 a# h" Q0 V9 ^
                set wealth  wealth + Wealth-inherited-mid]% Y; L( G) ?7 M& j
            [ set color green
4 m. x0 P6 K9 N, W, T+ W* O              set age 0  s) A4 N8 b4 {! T9 {. l8 D7 D. I
              face one-of neighbors4 & L# B6 T2 b5 j( `/ S0 `8 ~8 H
              set life-expectancy life-expectancy-min +$ V* }  B" R1 N1 G2 q- F7 I' M2 M% }
                        random life-expectancy-max  + 2
: z5 x1 k( I7 ]& A              set metabolism 2 + random metabolism-up. |$ Q8 j( l7 j+ h% M: b
              set wealth metabolism + random 30* t" ~- z0 g: b+ t0 J( t
              set vision 3 + random max-vision
, a: |! Q3 B! O% u1 i/ n' T              set wealth  wealth + Wealth-inherited-up ] ] 3 K: {1 t2 U4 x) L* F+ p

, z1 R* l( c. U/ @& r0 Wend
/ w' v* K/ _- |5 O! H2 [, g% jto set-initial-turtle-vars-wealth6 @! E; h% z- g) o% a
let max-wealth max [wealth] of turtles
; f8 J4 ]. e/ ^( v( _4 h+ }$ v          set age 05 r  E2 N' h/ b) h
          face one-of neighbors4
' y& S# b3 ^; y, K6 S1 D8 ]8 m          set life-expectancy life-expectancy-min +
  e5 i8 b# d4 m7 {3 V% {                        random life-expectancy-max
+ [0 J8 {( g, a. k3 n1 b* ?          set metabolism 1 + random metabolism-up5 M; I2 j$ R: D1 ~' E2 R2 h! \
          set wealth metabolism + random 30
; w( j  Y  S" J) t( q5 h1 a# z9 x; ]          set vision 1 + random max-vision 7 ?8 ^: V! k: X/ F+ Z# K. k
end+ i6 O3 s+ ]" o; m2 Z# c/ a1 w
to redistribution
3 _: L; ^4 O* llet max-wealth max [wealth] of turtles
; x# i# _7 i. s! L# a5 D5 j( Xlet min-wealth min [wealth] of turtles
; K& w: o9 y! Q  t3 I( yif (wealth <= max-wealth / 3)' a$ l; b5 O5 d2 X8 N! Z
[set wealth  wealth + Low-income-protection ]
- \4 `/ ^. k" S4 I: }9 Mend
, b/ {$ L8 R+ Q  a- m. `- e# {4 D          7 }8 W6 p/ H) m% @) I! @$ ?
to recolor-turtles
. c. ~- I* W8 \7 ^4 q8 W4 ~  let max-wealth max [wealth] of turtles
! I% k* [# ~7 K- V& B% \. Y: \; h6 A  ask turtles, r6 [  ]) _  t$ z' n1 R
   [ ifelse (wealth <= max-wealth / 3)) n7 g8 N/ d1 D" R
        [ set color red ]
8 L* p0 h+ I! ?( v( g1 \        [ ifelse (wealth <= (max-wealth * 2 / 3))7 W; N  m3 m6 X1 F  R5 ?
            [ set color yellow ]
  \  a2 [) G4 ]* w) Q3 m1 _4 h/ Y            [ set color green ] ] ]2 P& o. E! r* c0 K4 f
ask turtles [ifelse show-wealth?- W6 ]1 f) A/ I
    [ set label wealth ]: {6 y% x# m8 s+ f- T" g
    [ set label "" ]]- F$ E, f8 o' Y
end- m8 U3 {5 h. `3 u$ J
0 o! S1 e7 U! v
to go. `; K, z9 B$ F8 b
  ask turtles0 L+ f  s: J, H+ ]
    [ turn-towards-grain ]  # X3 G3 e' H- f
  harvest0 ]7 D3 s3 _" F  A' n) v$ C
  ask turtles
1 f+ K0 C5 F/ R8 J' w  i- N    [ move-eat-age-die ]6 i+ d! S1 z( z* L- x# D: Q% @
  recolor-turtles
$ Q  X8 V2 J' F- y; x  if ticks mod grain-growth-interval = 0
5 i. V) f  m1 u2 c0 U    [ ask patches [ grow-grain ] ]
. T/ G* j1 s7 M   1 ]5 H) {6 m% t" V
  if ticks mod 11 = 0) M5 O  j$ F& I$ d0 ]
  [ask turtles
3 Y! Y0 N0 |) }$ T4 O  [ redistribution ]]
0 s" N: F4 a7 X0 u  if ticks mod 5 = 0
) E# A9 i( v7 O% b" U   [ask turtles7 x3 v# c0 Y9 z) _7 w' ]! t3 P
  [ visions ]]( v1 k/ K/ e/ A
  tick
1 l% i/ ]* F4 X. d! k$ T5 v( u8 Z  update-plots
1 W9 Q2 d! f& T5 o6 O' L+ R5 Z( send
( [, }0 P4 |- j5 v+ e! \to visions7 h' l2 d5 }4 O  K
set vision vision + 1
0 r0 q+ l! S/ f( Q# n; rend4 u7 w8 \6 B7 B( {2 S& r' Y8 h

' [4 a4 R3 t- q4 ?, ?; K
+ h( t# e' ^( H* c2 i% N
( s' c/ x# Q; Fto turn-towards-grain  3 A' L! G, M' W, S
  set heading 0
0 j. f2 ^, [+ M# @2 F5 g2 Q  let best-direction 0# T6 h/ x5 C' P
  let best-amount grain-ahead3 K! l# [9 g" Y3 P' m* Z
  set heading 909 N$ P4 f8 l5 ^- x' h/ O9 M
  if (grain-ahead > best-amount)
0 d/ c! f' T6 C5 \& \3 Q    [ set best-direction 90
: [7 w/ r0 X0 }$ \0 D      set best-amount grain-ahead ]
& q) B  a; w3 D9 D( Q2 f; |  set heading 180
! U1 w/ V8 i0 ]$ x8 P2 B  if (grain-ahead > best-amount)
7 G4 `! Z% I; j# [! b" o6 O+ y    [ set best-direction 180& {; g7 g, ~: V: y
      set best-amount grain-ahead ]
: l& u( `( }. k/ T2 X1 [$ d2 E  set heading 270# l5 [7 u1 o! }, e8 B4 a: j
  if (grain-ahead > best-amount)
8 w) c' B6 s. Z5 ?! ^    [ set best-direction 270$ H5 Q; W4 r2 b, }( j. [
      set best-amount grain-ahead ]3 q) \7 `4 I3 m$ H5 i5 C& |9 ?
  set heading best-direction& u7 [8 c; ]. ?3 _* D( f3 E& U
end
' z1 M8 V. b# t2 d3 Q( \
# C$ ]5 T# h6 M$ l, Z' ~5 w) W0 g- D. S# u  G$ H
to-report grain-ahead  4 J+ S  Q5 {* }. B" U8 L  S- [; Y& K
  let total 06 x: }8 y# P4 }- _3 R( x
  let how-far 1
: A: @$ d: Y9 a( q+ }  repeat vision4 j" H! y8 _1 n$ X; N- d3 S" E: f
    [ set total total + [grain-here] of patch-ahead how-far
) m& I8 \' u4 d      set how-far how-far + 1 ]1 i  ~1 C+ _4 @( ~
  report total
7 s' A) g: H6 `8 o8 e+ B7 j* oend- h* j: b4 k7 |% o  }

4 }( l- o8 ?* W; zto grow-grain ! Z. l% E0 E) v7 w3 E8 u
  if (grain-here < max-grain-here)
: G. u3 |+ t9 p/ Z# s, P. U/ h, E    [ set grain-here grain-here + num-grain-grown, f) c3 a' C5 x5 d0 |7 W
      if (grain-here > max-grain-here)
3 q' ~1 l" [9 J5 e: l+ g1 f        [ set grain-here max-grain-here ]+ q4 S+ b: J( {/ q  S, ?4 {8 {' E) c
      recolor-patch ]- p" q1 i  Y/ ^0 I* s
end0 }' i1 R- s5 p5 f. d
to harvest* H/ ?4 @  w( `6 Z1 [6 ?1 J3 W+ y' c
  ask turtles
/ {; B& [9 I8 o, _6 C  P    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, n% `1 o. o% g4 |  ask turtles
7 |- |9 h4 E0 [    [ set grain-here 05 J: m+ }. @3 y" o$ a
      recolor-patch ]
9 ?, |/ J1 J9 w2 \' q) ~  
" h/ ~' x; G  V8 Jend& C! W2 Y/ ~+ j. f  [0 _* c; _
0 c- K4 B  _+ Y$ X2 X2 F
to move-eat-age-die  
  @# a# W+ _/ `) b8 @  fd 18 V, h4 y7 \+ f" S* Y$ q  ]1 _
  set wealth (wealth - metabolism)' K% z" u' X9 ?5 A
    set age (age + 1)
- S8 Y1 A  |8 o3 i6 t1 ]! S, m, _  if (age >= life-expectancy). |, L+ z& o4 q8 [$ W1 J$ K+ |: o( L
    [ set-initial-turtle-vars-age ]' K- Q- }; ^6 A7 E. n* W9 U% l
  if (wealth < 0)
4 j& }- Z& \- a    [ set-initial-turtle-vars-wealth ]  Q) J$ V( T: f
    2 `- Z: _* g: |# ~3 I
end0 h* ]' _9 U" l, Y

6 x" {$ R$ S: E0 w$ S7 m* O
* i* f  h& `* y) ]to setup-plots6 ?5 p7 A$ j4 o, N& q1 h, q
  set-current-plot "Class Plot"
" B+ g9 K# O% q4 A9 c  set-plot-y-range 0 num-people$ `( R( t! o- u, O. x  g
  set-current-plot "Class Histogram". ?) A+ x, y: e- _
  set-plot-y-range 0 num-people# M  x/ o0 _& P" N* F3 {! W
end
$ ~/ y& j( R! O; B7 }% @# Q4 |& o+ G+ G7 }9 w6 X# K0 {& [
to update-plots
% s& y; J2 ^4 N/ j: g7 Z" Q  update-class-plot& n8 O7 U3 \, X' Z
  update-class-histogram# p+ M1 Y/ h9 I9 k7 T2 c7 l) w
  update-lorenz-and-gini-plots# n1 V9 x0 W& e7 }6 ?% k
end
8 v% J$ r. S1 {, B2 V( L% }( B4 K9 _- A1 c
to update-class-plot9 z" \6 c$ B$ R/ g, E1 r
  set-current-plot "Class Plot"4 P6 c: o8 \+ G4 o( h
  set-current-plot-pen "low"
* h: i+ b3 C8 Y1 q! B- \, Z) ]* H- j  plot count turtles with [color = red]: e* Y1 Q- L5 b/ V, T
  set-current-plot-pen "mid"
/ |8 y: d8 {2 D/ T9 c  w7 @  y  plot count turtles with [color = yellow]! u- j4 p: H1 c
  set-current-plot-pen "up"
3 r1 d9 _5 X* C  plot count turtles with [color = green]  p+ }* d4 D2 y% R8 n( }
end& D0 X7 O" D  u# s' Y. ?+ q8 @

5 V1 n$ S8 p- L! O2 \4 Bto update-class-histogram
8 C& ~* k1 _. D% P0 s* m) v  set-current-plot "Class Histogram"
. }8 V1 m! k- B- b* {  plot-pen-reset) ^' a: o/ \0 z1 [
  set-plot-pen-color red. A5 t1 r+ X; K4 h+ ~9 R
  plot count turtles with [color = red]- m9 [$ p# z+ {. L0 D& I" U% }
  set-plot-pen-color yellow
1 L  T1 V; e. V' D6 r8 R' u  plot count turtles with [color = yellow]( G! A' h& C6 \" R1 P0 A
  set-plot-pen-color green$ N. N9 X8 f2 A3 H
  plot count turtles with [color = green]
& t! E0 V7 ]3 }) C6 d$ H; Bend
& f5 z% m% c0 o/ O1 Y5 \" ?  L$ ~to update-lorenz-and-gini-plots3 z! [: g" s) f" d& s% y
  set-current-plot "Lorenz Curve"
5 u. N2 r( R& M) \6 S: k  clear-plot
9 n2 Q+ A! _- t# W, m0 j+ ^
6 ~( |- |& b+ q  T  set-current-plot-pen "equal"/ O& `& Q$ c+ U7 q. y
  plot 0
% P0 N9 W) C/ a7 Y5 t/ U3 P  plot 100- D4 @% w8 B- q: X2 O' ?
! f4 [% a0 E3 \" T* q6 \9 H
  set-current-plot-pen "lorenz"
1 {; q8 e) \, @8 i3 |! d1 L  set-plot-pen-interval 100 / num-people
7 H- V7 o/ M* E' R; n  plot 0
% @; V. q$ B8 s- g5 i$ c
: w) E$ b! @% I- o8 C4 N  \. Z  let sorted-wealths sort [wealth] of turtles
& R: ?% t3 K/ b4 s  let total-wealth sum sorted-wealths/ e# j- z7 h& V" @5 V% I& b
  let wealth-sum-so-far 0
" N2 g4 ?! n! H4 n0 a5 i2 t. Z  let index 0
: `% ^- l& W$ C7 D( j# V( R  let gini-index-reserve 0
8 c5 V$ o) o3 h# l" u0 h
; r, I" m- M2 b" e1 _: e4 ]7 z( u  repeat num-people [
3 u' O3 l1 O7 [) H9 `    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" ~/ K" v4 V/ j! L3 O/ }    plot (wealth-sum-so-far / total-wealth) * 100
3 U' r2 ~5 R, P9 i- H8 O    set index (index + 1)* m- U+ W$ q* G' {$ b& @
    set gini-index-reserve
: O8 A; j3 A7 e5 d0 e5 V1 w* U      gini-index-reserve +6 x1 i( n$ A( z, d! [! p0 S8 m
      (index / num-people) -; O& e5 z+ R$ V
      (wealth-sum-so-far / total-wealth)1 ^. z9 \. D& H
  ]
! t- P+ U* Z( F. p" o
3 I& A( V" U( w- y, o# g: R  set-current-plot "Gini-Index v. Time"8 H8 u2 x/ e$ p# ^0 N3 U
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
+ _% U, y/ g6 U) _  ?, q/ Kend) U& F% f4 k( b3 g" O
to-report area-of-equality-triangle* X6 h% O& g: A" y
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ a# `$ k+ g) ?1 m$ W( D# F& f. 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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