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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
- r3 R8 W* N  U$ m' {  _globals9 Z% C5 \! C8 _. j6 b( i9 _
[
) H& a2 A% G  |0 J+ X( Q  max-grain   
1 Y& R" @- x9 p" `; E8 X! I8 `4 P# \; u
], w0 u; o5 ?8 {6 Q* E
2 v, S; H6 s8 \, C$ P; s8 E
patches-own
& F' a1 S) m. e. f[2 S" r! v2 O; Q& {& m3 u% O
  grain-here      
6 }2 s- f" r! N; }) e/ S  max-grain-here  ( m6 B' J+ G: `+ w9 z
]
0 _$ O7 q) h0 m6 f$ Y% i# ~+ ?0 L, E" ~
turtles-own
5 I4 q* v$ p0 T[/ A& Y0 {0 E( j$ @
  age              
# T- V- h$ Y3 Y$ p; J, i  wealth         0 c" J1 Z# J. T5 W& P9 T2 b" i
  life-expectancy  / s& _* l0 d; o1 M" }3 Q
  metabolism      
  K4 l8 P: A4 R" w& O  vision% A) ]- \0 S3 a  n) O6 |3 y
  inherited         " R! c1 O' i( h" ~* c
]
% w6 z8 A+ C% u0 U' a
. c: q, O) W: Z9 P  E
1 G/ S0 k% G5 G: C1 \! d  [! Wto setup. l9 Z0 K/ H, C* U3 I$ e
  ca
% H( E, p7 G; l* @& B1 N  set max-grain 500 }: A5 Y4 P8 l# H
  setup-patches
. ^: `/ L- `6 |$ ^! `' Z$ k  setup-turtles
0 u7 e' M/ P2 J5 z3 g4 J  setup-plots
; |+ ~9 }6 ~" B+ i+ f  r# K7 T, s  update-plots# P2 J) x0 x! O/ G3 H! d
end# p8 `4 `% h) \0 V- b
to setup-patches
  g) c* R* P* k( Z  ask patches
( _6 `: \& ]5 o  c  {4 P' N2 c2 v    [ set max-grain-here 0
0 i4 y- B. I) j2 r( T9 s4 q0 C      if (random-float 100.0) <= percent-best-land
  C8 @) C& [+ _        [ set max-grain-here max-grain+ M% t# X$ u# ]8 H6 H! l* Y; Y  u
          set grain-here max-grain-here ] ], x/ v( d' h2 k1 O  m
  repeat 5
- Y5 ?+ v" S% e. g+ H1 e    [ ask patches with [max-grain-here != 0]
3 Z" o2 ?$ ~6 a' ?0 J7 a  x        [ set grain-here max-grain-here ]
3 ]# H4 x- m, ?8 c) k& g  w, [      diffuse grain-here 0.5 ]$ p3 l8 ^5 Y' c1 V
  repeat 10) d3 m" B1 h2 b' g0 v+ c
    [ diffuse grain-here 0.5]          . |& v  ^3 |) v8 h6 T! v8 O
  ask patches5 z+ a# q, l' {1 l& y" }' r- X  }
    [ set grain-here floor grain-here    . v: M, E/ K0 ^- Z4 I, U
      set max-grain-here grain-here      
5 r9 r) d: c1 [      recolor-patch ]/ U7 `( O# t- T. Z
end
; ]% V/ }) u' w9 Pto recolor-patch  ! D' |" r4 f0 Z7 O3 U, h7 B
  set pcolor scale-color sky grain-here 0 max-grain
  U$ x) i6 i! Z  Aend
+ R) n' g4 y( H, s$ U( m) s  _to setup-turtles
! _: ~' R* J7 h& Q$ `  set-default-shape turtles "person"4 v& {4 |, }$ R" H; u4 B$ P5 _
  crt num-people
7 X) o. G6 D. m7 D8 k7 B- n( z7 Q    [ move-to one-of patches  ) v: h; C. K8 A
      set size 1.5  9 `! ^4 r" E: p" U
      set-initial-turtle-vars-age; s7 W3 Y* j9 Q9 L% }6 p5 k
      set-initial-turtle-vars-wealth9 }1 ^+ n' @3 @
      set age random life-expectancy ]
' j; n' E1 T4 K' r& D! U  {" _  recolor-turtles! q: J  A* @5 Z9 I, f
end
4 ^) h- p. {' _7 w1 |- S3 s0 g5 R! q
" m' c$ L( x* F) _to set-initial-turtle-vars-age
4 q! ~, x6 w3 I% q let max-wealth max [wealth] of turtles! D4 y6 h& g/ z" v3 n" g& Q# G
   
( K0 J# W2 s+ S* v/ y     ifelse (wealth <= max-wealth / 3)
% }7 N% A8 V9 M$ I        [ set color red 5 [; L/ v/ P+ r2 J& _- Y' r3 }2 g) i
          set age 0
& U- U% F( z. Z8 ]* x          face one-of neighbors4
) r  C6 X* l) @2 E          set life-expectancy life-expectancy-min +
( v2 C$ u5 [. c  g' B2 d- v% |9 a                        random life-expectancy-max 2 @' W) H6 s4 v- W
          set metabolism random 1 + metabolism-low
& U+ F$ |  S% ]; ~- h1 v. R; N          set wealth metabolism + random 30+ V" J- a3 B- j. C
          set vision 1 + random max-vision; {% G  Y0 S' m0 C/ O
             set wealth  wealth +  Wealth-inherited-low ]
4 c: |+ K0 U0 A5 B        [ ifelse (wealth <= (max-wealth * 2 / 3)), s! A- n7 r4 b7 Q( m0 {, S, E# T
            [ set color yellow
5 Y' g- m0 a% r; l9 c, W6 @              set age 0: [: H2 p8 E" ?: E$ j: G# K
              face one-of neighbors4
4 P) ?- J, j0 E* ^( I              set life-expectancy life-expectancy-min +
5 g% Q1 g. `, C% I                        random life-expectancy-max + 1" a# o8 s! I" {0 \; u. @+ B! s
              set metabolism  1 + random metabolism-mid1 T. w  o6 B, x/ `& a% o, \
              set wealth metabolism + random 308 Q. y& f( `: u! |. Q0 Q
              set vision 3 + random max-vision, s) J9 W1 R5 o1 f2 Z: g5 i
                set wealth  wealth + Wealth-inherited-mid]
6 F, n# _* R- k4 J. n. b$ |0 h. T            [ set color green
: ^4 k0 \+ Y* N3 J              set age 06 F8 T( Q: c) F$ s; U4 S
              face one-of neighbors4 3 m; G- v* F6 Z: ?
              set life-expectancy life-expectancy-min +8 G0 m: R; v4 U) z6 d
                        random life-expectancy-max  + 2
* m7 ^* x( O7 a) p2 f              set metabolism 2 + random metabolism-up8 ~4 o( Z2 {# d5 {
              set wealth metabolism + random 30
, y+ h, i7 h7 e+ G. [6 z8 s              set vision 3 + random max-vision
1 G+ z, q0 m" X! E              set wealth  wealth + Wealth-inherited-up ] ] 9 j& P3 F2 k/ h
& C6 U2 J% e3 E5 b2 N6 s* U
end
1 }2 d+ ]% |, k  J$ `to set-initial-turtle-vars-wealth5 C% H7 O' Z9 n; V" X) h
let max-wealth max [wealth] of turtles
% ?7 Q& I, u  O3 A+ b% T# H# U          set age 0
0 o) H2 l! ^+ C( f; t          face one-of neighbors4
, x8 v6 J- ~( o  H& \          set life-expectancy life-expectancy-min +7 ]# F2 f3 m( B% u
                        random life-expectancy-max
7 {& D. @; S6 `& I          set metabolism 1 + random metabolism-up- _7 H# s. ]" e4 l
          set wealth metabolism + random 30
% p% n% B- P8 `6 v( [6 u/ e/ j          set vision 1 + random max-vision
, f. y9 E# W* {  k1 _4 W: d/ u# X( N: oend
* x2 _+ u/ [' sto redistribution
! v) @* e. M, w, N( Llet max-wealth max [wealth] of turtles
3 N0 ?- V6 `+ H3 qlet min-wealth min [wealth] of turtles  w) }3 F" J8 f
if (wealth <= max-wealth / 3)
! F- G4 R1 _3 |! F5 z [set wealth  wealth + Low-income-protection ]- F: |/ Y  I3 l! J7 a. W
end" J- l0 @5 e# d* k3 h
         
1 n0 `: @5 X7 o/ `8 ~- ~to recolor-turtles
' C2 l1 Z0 m/ r4 Q* a- N  let max-wealth max [wealth] of turtles
& B. t( A+ p9 [% w+ K7 c% P  ask turtles9 {, K3 I4 s) Z) B9 d6 b# D- \( A
   [ ifelse (wealth <= max-wealth / 3)
& B- m4 [' n% ~; E        [ set color red ]$ G$ g4 M6 {) D. X! U/ ?0 Y3 U
        [ ifelse (wealth <= (max-wealth * 2 / 3))
& W+ g6 m/ q7 K9 c9 U            [ set color yellow ]! q) ]& x& Z* u( Q- P6 F2 |3 _8 u
            [ set color green ] ] ]; |& a& F5 @) j" w# ]) P+ ]
ask turtles [ifelse show-wealth?
0 T( U5 |8 t7 n8 n  i    [ set label wealth ]: F! h" {9 E$ a5 s( i' J) P
    [ set label "" ]]
) P( `5 `( v" Zend
) O6 O; Y' P* j1 y7 n& ?+ Z" L0 s, `9 R
to go
4 }, M; r( i$ ]) J( n- Z  ask turtles  m5 J8 o* d+ u; ?5 E& e
    [ turn-towards-grain ]  
! N1 l. a! U, R  harvest/ w" E3 M# D" N& Q2 t
  ask turtles8 H3 Q9 v8 }1 W1 S( H
    [ move-eat-age-die ]
& c: a: g  `( E* c, _" w) M  recolor-turtles# e5 Q; J& t8 X5 r1 x5 B
  if ticks mod grain-growth-interval = 0
' X: D6 H( H. p    [ ask patches [ grow-grain ] ]
" ?- h( k' j( p' g8 ]2 E$ r! Y   
  j# i2 k# f- ^: o  if ticks mod 11 = 0
4 P0 i1 w  f# s4 u* r- U4 R: x  [ask turtles2 d, E# N4 y2 z4 E% u
  [ redistribution ]]
, ?# p0 S* {2 g" {  if ticks mod 5 = 0; r- o8 V1 a) G0 G: a
   [ask turtles
- q6 a- y, i; H  [0 z) b0 J6 \  [ visions ]]3 {$ |9 Y6 j: k- @3 u) |. J
  tick& B" p0 T$ ^3 P" x- ?+ i
  update-plots. r" z3 ], z' o$ W+ Y. O9 x3 S
end' j: d% F/ N0 b' Y. P) C. V' C4 f
to visions
9 Q# o& ~: r& f) U, I! i  R set vision vision + 1
/ b  m' {) u. L( e& p- Oend, {1 U4 k1 h4 h; Q1 B* T
; S% z9 i# m/ Y6 x2 A* m  z

' ~+ z! \0 m6 V7 ~" m0 H/ @  W) N5 O3 L) |2 e3 {3 e9 }) v5 B
to turn-towards-grain  & `' ?8 i. x! E( {$ [4 B8 u
  set heading 0; |# W* U- ]  u( P5 o
  let best-direction 0
$ W" G0 j3 {9 r  let best-amount grain-ahead) H5 g/ A$ ~6 Z5 ]7 \! N; l
  set heading 90
% q  e" k/ B. q5 b9 g  n0 f$ X  if (grain-ahead > best-amount)1 [  @2 f6 C6 L5 J# R- x
    [ set best-direction 90
9 W1 M& o$ c$ e) ?      set best-amount grain-ahead ]) N) r2 {+ r0 |
  set heading 180( F. j: M; |; N! Q! q6 C' v
  if (grain-ahead > best-amount)- d1 t; B8 {7 q2 ^5 h' l
    [ set best-direction 180
8 N+ H4 d# H  P7 @      set best-amount grain-ahead ]
) K7 I  j/ _" I. ~" @  set heading 270
7 b6 k- n, n* Q4 q  if (grain-ahead > best-amount)
4 g5 x, @/ d9 ?5 D! G    [ set best-direction 270' E# c% S9 D2 L
      set best-amount grain-ahead ]
, Y/ \; @1 A7 `7 _8 F  set heading best-direction
% x; h6 _  {3 d  ~end
! ~0 b  k! }. [' O! c% x  W. ^* w9 a' z+ U6 g' u$ X" i

8 S) U3 ]9 P2 Qto-report grain-ahead  4 \7 G6 G6 h3 B3 z+ }/ k
  let total 03 @5 @: `3 ?1 _  }; [
  let how-far 1) c( ]  K0 h# L4 P
  repeat vision5 T) o# r+ o9 w7 y0 Q. D  l
    [ set total total + [grain-here] of patch-ahead how-far
) Z% J1 z# [+ p      set how-far how-far + 1 ]- T" V  `% w" x  G& i# }9 R
  report total
* [% I( p5 u9 t* z) w" Tend
4 L5 k+ {7 X5 L9 D* t- Y/ Z: j% p& R. K1 m* v& a% O
to grow-grain 3 w4 p3 d: Q/ S
  if (grain-here < max-grain-here)
( }1 K  I9 ~( P4 J    [ set grain-here grain-here + num-grain-grown3 m* L( E) K) g2 |) [
      if (grain-here > max-grain-here)
! i1 t# V2 `3 h% C. K9 P. Q7 ?        [ set grain-here max-grain-here ]
" T4 E2 S' P% L% H      recolor-patch ]
% o9 S1 Q0 t- @8 lend- m8 d( S1 W, n1 {/ b6 U2 d
to harvest7 U! I  M4 Q- W  j7 P6 |
  ask turtles" s  N) E; W9 t9 X( N2 }6 V
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]6 }) n6 r9 {) Z  o
  ask turtles4 m- d$ e9 B! R5 x+ c2 ?: T. L
    [ set grain-here 0
& j  h1 o  I% d+ w, ~4 m4 Q5 v      recolor-patch ]
. |! \, z$ r' b  G  8 c, M) U! R3 H  P. l6 T+ e
end
% s: S: B  K2 s. `. L0 S8 e' Z( Q/ @( l& P% N
to move-eat-age-die  
5 N4 e% ~. p4 ^/ q% N* N0 `- b  fd 1
; T5 s9 q* d6 K  B/ x* I- R  set wealth (wealth - metabolism)
8 o- i9 w% `( b9 o: R    set age (age + 1)
2 x. k+ [% Z# A, h  if (age >= life-expectancy)) j- ~0 q+ z& Q+ ^
    [ set-initial-turtle-vars-age ]
6 t5 [& E, D) N. V9 D  if (wealth < 0)! S# h3 Q1 a8 Z$ F& @1 O
    [ set-initial-turtle-vars-wealth ]
5 Z) q1 C, ?% |8 }/ O" ^3 z    9 E& K7 z( E8 \2 [0 J$ I
end# h9 L1 p5 H/ I' M1 u# ^: B% ~$ V

0 z# x* |' ?9 O+ q, c' r4 Q: W( K  a, p- L# d2 u
to setup-plots
0 W: _3 \1 E5 _. ?1 A4 b" O  set-current-plot "Class Plot"
' j, f6 W+ j; u* A! l  set-plot-y-range 0 num-people  G" k# |+ `* r3 d+ I+ z
  set-current-plot "Class Histogram"- o( {1 g9 B1 l/ ]4 L  g( Y$ s5 D. ?
  set-plot-y-range 0 num-people/ {4 e' O- }, t& R3 J
end
8 |# f  U3 d& k
  W+ y8 f" e2 R, f- Qto update-plots
: h* Q( ^0 _- X) }6 J  update-class-plot
+ ~6 c# s: ]' m  E' H3 U7 m  e& l8 R& A  update-class-histogram
: s! `; f8 v. h  update-lorenz-and-gini-plots5 D0 j9 ~' i% t6 v8 O
end" q: W) T0 q3 E5 ?0 J. W, o! ]

3 o$ N& `7 |/ t2 k( l3 Bto update-class-plot
4 e: w# T: t" y  set-current-plot "Class Plot"
$ `! N5 Y/ F2 J  [+ l( M# @$ D' @  set-current-plot-pen "low"
2 ?* e9 L& L/ w8 c, G8 I8 ~: [, [# A; W  plot count turtles with [color = red]0 Y$ [0 t" m3 p( z
  set-current-plot-pen "mid"
. D! o+ K" O* e/ T! A2 c+ B: y7 m  plot count turtles with [color = yellow]! c$ ]; P# T) y1 l
  set-current-plot-pen "up"
4 w: o% r; N; _8 ~  plot count turtles with [color = green]) V1 J9 t! p: ^4 l1 ?/ b. I" v
end' e3 X4 }( |1 h  B
1 b; u: ]2 R8 t" {7 E& W$ z: v
to update-class-histogram
) D2 @6 V  Y: ?5 }  set-current-plot "Class Histogram"
% H; d' ^4 X6 A+ C: J6 f2 D  plot-pen-reset' d' T$ U( ]# c9 R& F( F
  set-plot-pen-color red% o! c( J" W% {/ Y, a
  plot count turtles with [color = red]- }+ W+ K% Q: T' N
  set-plot-pen-color yellow" i5 c: U1 E: g
  plot count turtles with [color = yellow]
4 N) y* ^! [% o  set-plot-pen-color green
- V, Y9 v: c% ?. p0 s) ~  plot count turtles with [color = green]
+ ^+ t. w5 P% @$ oend# p; S9 z! J# A0 E& I
to update-lorenz-and-gini-plots
# P3 O( r) p5 j; a  M9 \7 b  set-current-plot "Lorenz Curve"
# X$ ^+ ?2 v" t! Z  clear-plot
/ E) O& f  j' n" R
6 |3 [; }: S7 z: ~  set-current-plot-pen "equal") A6 h4 M5 B/ B7 b/ \0 X& I; j
  plot 0/ @. Q$ x" Z+ g7 h
  plot 100
( m+ l! Y7 v# d2 `
/ u2 ^6 O3 x: I4 h: s  set-current-plot-pen "lorenz"
- x( I5 w- D  w$ ], y# R  set-plot-pen-interval 100 / num-people
+ J# E% ~/ y( n& j  c# }0 F  plot 09 [, \1 g) m) t2 N& C6 D2 M6 m

3 a& E+ `& E7 {  let sorted-wealths sort [wealth] of turtles
7 b- z& B$ H" J" {8 `* D" ?  let total-wealth sum sorted-wealths2 v) @2 [+ _' a8 y$ O* t
  let wealth-sum-so-far 0' E& p. {! E& E7 ]9 n: {* u0 t3 [; z
  let index 0
. L4 M# n! Y8 T9 B! R( h* F: a  let gini-index-reserve 0& H/ \. ~: ^  X0 b. h
. r. Z0 ]) \0 E4 g, b1 i
  repeat num-people [
8 e7 w5 |% A0 G! y    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: v6 P1 H4 J' s  ^    plot (wealth-sum-so-far / total-wealth) * 100
2 a5 D" U$ J# f( a9 o/ ^    set index (index + 1)
# ^5 f, t: l# C" n% o8 F2 C    set gini-index-reserve
9 r) }0 h" U6 G      gini-index-reserve +" H5 Q0 G# W+ P
      (index / num-people) -
4 L! B& |, A' E& G      (wealth-sum-so-far / total-wealth)
7 A1 O( {5 y, u& G9 b, J. }, ]! s  ]
0 u/ x4 r& D3 D8 Z) s2 q9 M
1 R4 {% X: m$ Q/ Q8 s  set-current-plot "Gini-Index v. Time"/ x; E; l& c; J1 a+ V' [8 a( C
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
; N& Z* z8 T+ O" s5 u! _# y2 ]1 Gend
& \/ @/ T' Y0 g2 C5 Cto-report area-of-equality-triangle
% L* p9 I5 n) k" K7 m  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)/ N7 O2 C1 m$ |- g
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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