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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% @. O% Y' c) v$ h. [# r
globals
  Y" R3 y- q9 q* \8 x# }' i( ^  }[! Q+ E3 v# ~( u, g" u5 A3 {
  max-grain   
  d  ]; N( K- \
, S* Z8 x, u2 C  J]
! @$ T9 f+ j% J! s$ }+ D. P7 q3 M' F4 N' V! N- N2 c0 |( k$ d. X
patches-own9 {5 m- p# I1 s9 ?0 t
[- |6 A9 D7 W9 J; G  D8 H8 h5 |
  grain-here      
" c  K& _, l5 d7 k  max-grain-here  
0 J" }, ?9 c5 B! ^]
. M" \- D0 M" D. q8 C9 ]# E
0 v, h) _  F/ Q+ J0 X7 k" Eturtles-own+ `/ p0 r: J# g* O. H* _; [/ s
[+ O& }/ i# T, V  d: R$ d
  age              
3 o5 A' w! f4 z( }9 O2 ^  r" ^9 a- |  wealth         0 n( V1 w) _8 F& r2 S! I
  life-expectancy  
( ?' }" S5 f) R5 |8 Z/ h$ ^. D  metabolism       : K" f& _& d7 _% r
  vision
4 S% T+ F3 B4 g2 i+ A# Q  inherited         0 y  Z  D7 @% Z
]
! S0 W5 W; [& I1 t2 Z, o0 X$ X' `8 U$ [; U
6 l* O8 G6 x1 T8 P: d; u% r# S
to setup
& s7 `( `* A' I  ca
) J# w1 x. T- w9 ~  set max-grain 50
% t. b7 v: p5 t# H  setup-patches+ [5 I8 u4 B& S- Q* D! P
  setup-turtles
: w3 `0 O" G- h  setup-plots: _/ R! ^# `: M  {& f$ J
  update-plots0 s7 q3 A( U5 e
end( \. u3 Y5 `2 U4 B1 D: ?& C
to setup-patches! R7 [2 @! O; ~6 l; e2 x
  ask patches
' ?! Z* H. U; N# _9 y! M    [ set max-grain-here 03 Z, D  d' }+ u9 I5 ~# Y; c) _
      if (random-float 100.0) <= percent-best-land7 j& n* A9 H8 F4 X1 u- d* a
        [ set max-grain-here max-grain4 x7 ~: T7 f, S; c( h  N6 [
          set grain-here max-grain-here ] ]  m$ Y$ Q: `2 ^' {& S7 H" g
  repeat 5
) t( H1 e+ X6 S& l    [ ask patches with [max-grain-here != 0]
# j$ @+ e; u$ X        [ set grain-here max-grain-here ]$ q; _5 N; N! z' ^$ Z2 R6 W+ }
      diffuse grain-here 0.5 ]3 C* I% H  i& t0 z, V5 D/ p
  repeat 10
1 ^, f) \3 f+ _+ l    [ diffuse grain-here 0.5]          : W' L2 f; X2 }( n; ?- l
  ask patches
1 ~1 u3 S. m! q/ |    [ set grain-here floor grain-here   
, S2 p6 _' ?. ^/ R7 \! ?      set max-grain-here grain-here      . \* U; S4 W, K8 ]
      recolor-patch ]+ m) B. k  v. `6 o
end
# @  Z& [# o" h; ?% oto recolor-patch  8 m$ @0 M& g5 E
  set pcolor scale-color sky grain-here 0 max-grain: I* J1 {/ a1 e" I6 e! S# u
end
# x& N5 S: U. q8 Y0 `3 r% A$ Qto setup-turtles
" K) v# [3 I7 Z; q' K3 o. f% }  set-default-shape turtles "person", g% }0 u  a. p$ z0 |/ T  r& ^' m
  crt num-people
+ J- B7 P, B5 E$ I! X4 s    [ move-to one-of patches  9 t+ c; i0 F) @& ]4 m5 C3 F
      set size 1.5  
0 I( m+ s( v6 v7 c5 I  O( N# ~) D      set-initial-turtle-vars-age
! b: r8 c* B' Y0 f/ n8 Y% r0 H      set-initial-turtle-vars-wealth$ e: l! l1 [7 e  g# H( Q' Q
      set age random life-expectancy ]
3 B7 W* I5 ^& V/ Q9 c' N  recolor-turtles' G4 M7 F6 w! a3 Z( x
end, |9 I5 l9 L5 c. W* X! t

, z; q# c3 Y- t1 x& Bto set-initial-turtle-vars-age
5 }# n4 e* s0 I( e% w: H let max-wealth max [wealth] of turtles7 t3 U4 K) O! V5 J3 Q5 S6 R
   
+ a3 T5 d' Z& v# I! d9 A     ifelse (wealth <= max-wealth / 3)) D4 `- H$ W! H8 U( E) f- n: r
        [ set color red 1 l4 o5 q2 F9 U2 g6 l9 g# I
          set age 0
2 I+ f6 y  {' v* X# o& I' s: T          face one-of neighbors4 % }; f0 y3 y  E/ Z* S1 h  g+ r
          set life-expectancy life-expectancy-min +7 C4 `- k6 C( [( a) C! d" Q, Q
                        random life-expectancy-max
0 u% t8 ~/ f: d          set metabolism random 1 + metabolism-low; r- U" q& x5 y2 g5 w3 z  R5 K
          set wealth metabolism + random 30
4 [/ T* g5 b+ i8 R$ Q          set vision 1 + random max-vision
" ^. y4 {: r# b3 L             set wealth  wealth +  Wealth-inherited-low ]
# Q4 U! w% T$ @/ A0 S* X5 P        [ ifelse (wealth <= (max-wealth * 2 / 3)): F% f3 W2 Q. v
            [ set color yellow 9 K9 @/ b: Q4 e7 `. V: z5 [2 m
              set age 06 [, v8 v3 ?: T! _  N1 h5 N
              face one-of neighbors4 + t; `9 V9 C! V$ n% {" K
              set life-expectancy life-expectancy-min +1 b) \6 N: o3 M# f  Q( r/ t- U4 E
                        random life-expectancy-max + 1
4 L/ x7 ?" a, `$ z$ D              set metabolism  1 + random metabolism-mid' m) F1 L& E4 l1 s
              set wealth metabolism + random 30$ p$ `+ u1 X) _  _
              set vision 3 + random max-vision# Q8 G: p+ s/ j% k1 \
                set wealth  wealth + Wealth-inherited-mid]
6 |& q. p9 y, B+ h            [ set color green
  m& h/ l1 D7 x. B- `2 f              set age 0* C1 Y: Y& {5 I& @+ ], O' G
              face one-of neighbors4 , \* a! B$ g0 K0 _% W
              set life-expectancy life-expectancy-min +1 v) I$ }; j; r7 \
                        random life-expectancy-max  + 29 l9 a8 K6 }- s- h) D# R; r( t
              set metabolism 2 + random metabolism-up
( V3 {. C* u/ w3 N8 C' _0 r              set wealth metabolism + random 30
7 q! M3 M! {. V) L: p: `: W; G/ t. I  O              set vision 3 + random max-vision& U% j) b; V; h' O5 ~" i0 c6 z5 Z
              set wealth  wealth + Wealth-inherited-up ] ]
5 R, Y" R8 E% q( q . G7 E! F* r4 G9 W
end
! i& j6 q: T; E) ]9 s: Hto set-initial-turtle-vars-wealth1 a+ V8 T) U2 R) _& S3 c
let max-wealth max [wealth] of turtles' ~2 Z* K' x% B! |6 J) g
          set age 0
& R( g! ^- h' K& {& i7 G  }          face one-of neighbors4
2 E0 h: p' D8 r& `$ q          set life-expectancy life-expectancy-min +
4 w) ^" q# X- {: B                        random life-expectancy-max
9 ]) G; q7 C3 V6 R0 ?  v% ~; z          set metabolism 1 + random metabolism-up
1 D. C& y- n8 Y+ i          set wealth metabolism + random 30
! P1 Z" V6 W5 H# x9 {4 y4 s          set vision 1 + random max-vision
) R. h' u3 ~( O! ~7 {' r+ Bend1 p8 V$ f1 R: l! Y2 ?2 L. W
to redistribution  H' c; [7 a- Y, j, L1 w
let max-wealth max [wealth] of turtles( p8 U5 e7 j! V4 ~, R" i
let min-wealth min [wealth] of turtles
, l6 \) |0 y# t" z. j4 ]if (wealth <= max-wealth / 3)7 _4 c9 q1 `. i1 X- Q! _
[set wealth  wealth + Low-income-protection ]" _2 M6 |. |$ o$ E+ @4 q
end
: i: m# X. l8 [  Y9 b( c3 _3 r  z         
# X: M, Z  T/ Y+ o  N9 Z6 [# yto recolor-turtles
; |* h- b3 K$ u" o& z0 U  let max-wealth max [wealth] of turtles
1 u1 ^3 ~- X6 h5 ?2 F  ask turtles
/ B: ^1 x, k! E' ~   [ ifelse (wealth <= max-wealth / 3)
! R4 h9 I/ g6 x( P        [ set color red ]
. t- D4 u, S8 k        [ ifelse (wealth <= (max-wealth * 2 / 3))2 {/ S5 N& C1 x3 z0 E( q+ z1 j; K
            [ set color yellow ]- {, {  E* B' z0 Q
            [ set color green ] ] ]
6 C, R" ^. |3 j  F& h ask turtles [ifelse show-wealth?
" M# R% R, q2 Q: x, Q8 ?    [ set label wealth ]
: U9 k, Y, Z5 P5 S    [ set label "" ]]
( C2 O& s. s; O1 C2 Send7 w; A3 H" a% y
1 g  m7 P; P) s. l
to go
- `  m) J0 C! a( \# h& i8 m  ask turtles& B& B$ i9 f' S5 G' \
    [ turn-towards-grain ]  " C, I) `8 ?/ Y! o& N
  harvest3 R" e1 i3 }! |3 n
  ask turtles4 a' ^3 `- \  l  [5 z2 H
    [ move-eat-age-die ]
1 U% l( w% U" h# Q: q3 B  recolor-turtles  ^' k1 b6 B% [: c
  if ticks mod grain-growth-interval = 0% g& p4 {3 l" C) O* \& V' V# U
    [ ask patches [ grow-grain ] ]5 {  p/ Y; X9 l9 s# N7 G- _$ e
   
7 y7 ]5 Y2 Y* A0 ~  if ticks mod 11 = 0. V2 `; l% e' P9 L& e8 T# L
  [ask turtles* W0 T6 V3 Z4 Q1 Q. R* n$ N- k
  [ redistribution ]]
2 {( }* `8 b4 h; T6 c  if ticks mod 5 = 0
" ^) k/ r" W, K' \& f+ s. r) [+ i! P4 t   [ask turtles3 ~# I+ O' V* r/ q
  [ visions ]]" k( ?+ T% t6 k5 u/ l
  tick
6 \' P1 }1 R) U- {  update-plots
6 i9 x( }% m; I5 Eend5 X% P8 h+ @1 {+ U0 |
to visions
3 _" A' D7 k0 ?5 @+ H# I set vision vision + 1 ' h, u2 s  ?) Q, @) j% K
end( u* N! X# W" }( m3 h

! P, ?9 P: p$ I
4 l8 y) o# G! y0 X8 z$ G) N* l6 F3 I* M
to turn-towards-grain  ; ]6 l) V/ g* R7 R* v/ n) j' ~8 X
  set heading 04 t4 R" R# [" l2 y2 e
  let best-direction 05 c/ m8 ^6 Q* D: I
  let best-amount grain-ahead
( K# r7 z0 _( G8 G  set heading 90
" l' g: m9 j; c. ?: q2 S  if (grain-ahead > best-amount)& I6 T$ s0 a4 H& D" Z
    [ set best-direction 90
( L' s+ ~+ d- Y# `( @" b& s+ d      set best-amount grain-ahead ]3 Y4 d" b6 q5 O. w  D
  set heading 1807 N3 z# _) Z9 _
  if (grain-ahead > best-amount)
1 g2 I& C8 `6 g$ k    [ set best-direction 180- e& x' G: `9 \
      set best-amount grain-ahead ]
9 X( @1 \7 Q! T+ Y$ O  set heading 2703 q& d, T; ^8 c! r- r! {! Q8 g
  if (grain-ahead > best-amount)" L( E9 E* l+ a  }& m
    [ set best-direction 270# P* q. M" y! p2 Q& ]% F: T' K
      set best-amount grain-ahead ]
; l, Z3 B( H( ?, m, x  set heading best-direction
3 ^: o8 r# Z+ @end
7 M8 u7 X; T! |, ]7 J5 u5 e& Y4 k/ G, I! D) u( H( i

. d5 {: [2 b8 R9 rto-report grain-ahead  1 W1 H$ f/ y( _! M1 w& T& `
  let total 0
9 U' u- A1 e1 N: k, ^  let how-far 18 [+ x! [4 C0 K
  repeat vision" H7 k3 c# C- t' `: l$ t
    [ set total total + [grain-here] of patch-ahead how-far
3 _1 {0 M8 P6 J+ ?      set how-far how-far + 1 ]; M( L7 o2 d/ g2 r4 C
  report total8 a$ E' G& a8 h. C
end
0 x+ h, n) j" G2 n9 z4 Y3 K4 s( o/ L6 f& Z! K$ u- k! g* e. I
to grow-grain 8 q; L& {( H* y  J! [1 I
  if (grain-here < max-grain-here)4 p6 ?: V: ]8 c
    [ set grain-here grain-here + num-grain-grown! u7 M. c6 N; W1 s& j5 a3 a, [3 ?
      if (grain-here > max-grain-here) 2 G( q4 Q4 }; |8 V
        [ set grain-here max-grain-here ]3 C* X% A% M2 c# W( o! m
      recolor-patch ]
. w* e9 R4 K8 V3 j/ S2 F, q% Tend
5 w+ k, ~1 v+ _  M4 ?8 p( Qto harvest
3 r% \8 y! d; d, \* y) c. a  ask turtles
1 G& S# R5 V8 R2 V# @1 s- V    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ N7 I  A, ^$ Y) j0 O
  ask turtles
) {6 r* b! M/ l+ n! u, }( s    [ set grain-here 0& M- x8 H* c1 h/ I4 |) q& R
      recolor-patch ]
% a6 ?1 H7 r5 V2 U  
4 \; f& B6 o1 b2 L0 d- bend6 ?/ s- P. B2 l. k! I" P+ p* e

6 z8 r/ V, V' M, K+ J* Hto move-eat-age-die  : U" q, k% c( O: x! B. ?% \
  fd 1% S- G9 r- k6 `
  set wealth (wealth - metabolism)1 q2 i5 E- p& I4 {8 Q
    set age (age + 1)
( Q( i; @2 @% G  R  J  if (age >= life-expectancy)7 a. Q; ?  F, v
    [ set-initial-turtle-vars-age ]
& Q1 Z" U2 k) f: b  if (wealth < 0)
3 t0 d: r3 O: \    [ set-initial-turtle-vars-wealth ]3 A6 |8 L( Y) B3 o9 j
    ; s+ U+ [; l3 l" A5 A! F8 X
end
  B7 X9 ]$ ]& [( @9 t1 ~# k6 b
3 q3 \" N3 T" t" b. D2 f( k5 ~' b% N. U; X1 W5 F# M, y5 f! ~/ |
to setup-plots
& F& }8 \8 M$ t1 U0 B3 A  set-current-plot "Class Plot"3 N) p! W4 C& v3 o
  set-plot-y-range 0 num-people
8 J# V5 D" E% [. `  set-current-plot "Class Histogram"
/ e4 t" z- C$ l. ], S( C  set-plot-y-range 0 num-people
6 [' _7 B5 i  Q  R8 q8 P  v6 pend9 h3 P2 d' ~7 U
! v% E9 h) P3 V1 s
to update-plots- {5 S; u# L) c/ S
  update-class-plot
" X+ ~# u8 k1 ~  y& T1 j3 S7 y. S5 Z  update-class-histogram
: i6 h+ I8 n1 L6 Z  l  update-lorenz-and-gini-plots
" A, W1 ~* l+ Aend
" Q5 Q# a: E) f0 f& P. y7 ~* `, Y0 g: y) Q
to update-class-plot4 E) h/ z) {- N) }2 P. D6 X; V/ l
  set-current-plot "Class Plot"! y& e1 S. M' c2 D# c% N: a
  set-current-plot-pen "low"2 n. I8 p. `1 ^  v# @
  plot count turtles with [color = red]: m: g3 e% W1 w. y3 q0 s5 W
  set-current-plot-pen "mid") u0 Z# l1 d. h$ U7 j
  plot count turtles with [color = yellow], Q! |, ^6 z. G3 W. U
  set-current-plot-pen "up"
8 V% V! z$ y9 T. \% @! A  plot count turtles with [color = green]
$ [( n2 T" K) U+ C! Bend
" w: \+ Q. X; A# w
# W  [8 v, P( X( [$ A* I' @to update-class-histogram/ e, w$ c( f# a" e" K) V. z) t
  set-current-plot "Class Histogram"% Y' G, W" x1 e$ @' `" i  q
  plot-pen-reset7 \/ x' H4 U5 O* d4 f$ r
  set-plot-pen-color red7 R* ?, C* W- d$ I; f7 a$ ~
  plot count turtles with [color = red]
4 o& ~. c& Q0 \6 u0 h  v" i5 U" T  set-plot-pen-color yellow
  X4 h( K/ E, v0 a* }  plot count turtles with [color = yellow]* m0 U7 |8 @$ l
  set-plot-pen-color green# q8 L1 C" v1 h# E: ?( ?
  plot count turtles with [color = green]7 B; X# I' ^, m0 J4 x; g# i
end
* z# [* X' A3 f! _# o) Tto update-lorenz-and-gini-plots
, p3 V6 }. a. T  set-current-plot "Lorenz Curve"
: R* L5 z; {: y% |2 E  clear-plot' `3 O5 c! B! R& L& k* J
' S% r! L- U7 G' b/ r
  set-current-plot-pen "equal": w6 m7 f! M. Y6 k3 ~
  plot 03 y0 m9 w' X0 w1 g( {
  plot 100
1 t$ G$ H2 ^  @" b/ B, `+ @6 o6 U$ K# X5 f4 T0 _6 F+ r0 \
  set-current-plot-pen "lorenz"
" l3 r/ _5 ^: l+ e9 z  set-plot-pen-interval 100 / num-people
: C: k$ S; T: Y6 v  plot 0+ h% C6 ~  W) A' K2 J( ?3 ]
# @, e; m( `: i9 o0 `  b9 v+ i
  let sorted-wealths sort [wealth] of turtles9 B. t  t( S- V
  let total-wealth sum sorted-wealths
  X6 C6 C* Y5 k  let wealth-sum-so-far 0
, a8 H3 u- W; l$ p% H  let index 08 v4 |5 c+ O7 q
  let gini-index-reserve 0
# G% }% g/ g4 v/ c  \, v& U, u- z# @- r2 {
  repeat num-people [: d! M) B. Z; \5 w
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
2 z+ S6 L, N/ s6 ]- ^+ {    plot (wealth-sum-so-far / total-wealth) * 100
7 o% U/ |9 ~+ j' y; ~7 s' |    set index (index + 1)
+ _, ]* A' S7 V9 j- y2 }    set gini-index-reserve, Y2 Y3 x2 u2 A' u% `: N5 N
      gini-index-reserve +
4 Q  q- t7 u" P/ N  I      (index / num-people) -
& \# a* o& I* J# `      (wealth-sum-so-far / total-wealth)
: |5 y8 R  Q9 _7 ^2 W# y  o. [  ]9 H; H$ l0 f9 X' ~; k

3 s2 J) v6 a0 Z1 H3 R' A  set-current-plot "Gini-Index v. Time"4 ~; I2 a1 \* D. g
  plot (gini-index-reserve / num-people) / area-of-equality-triangle* \  I9 ?6 A1 [$ R
end
% G2 C7 I/ @3 I& O2 ?to-report area-of-equality-triangle
+ {0 y, F2 H% o% n  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 {7 p7 P% x( Cend
 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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