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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
8 O1 M. E* W- Uglobals  R% J- Y* F! y5 o; R3 d
[1 z% `' s) S+ z, J5 S
  max-grain   
9 }+ \# f9 w+ h  n3 L6 K0 r$ K  v% y. N0 _) l  Y
]
9 H0 @1 w3 Y+ S: F/ h9 A: C9 L' _
patches-own
6 @( A. p: Q3 J[
) ~, y8 t7 n5 L- v  grain-here      
& L; @( m2 Q! B  Y6 C  P, T  max-grain-here  ) V( R6 z6 ^. E. h$ ~& A3 c2 g7 }
]
, K8 \" G: g+ F4 ?( P: r2 K8 i( @! {! H7 f
turtles-own- F! w, ?7 k" P; |) X- O. M# L. w& n
[% L7 I, g8 ^3 e1 Y" L' J
  age              
- R6 }( k& }! V# n* s9 C' N  wealth         ! z) v: G1 I% O9 S/ V
  life-expectancy  
! k, W7 Y- R1 H9 ^4 c0 [  metabolism      
+ Q* |& M& A1 B! M; B4 [  vision' U  Z5 L: z4 c* w
  inherited         
7 ~! H( ?/ n) C2 B- \4 Q+ m]9 W% {3 X" c" I9 u; f6 H9 p* j
# T( l8 _7 N* a: }( ]! X
/ `, G1 h8 T" O" r4 X7 t3 S
to setup8 F# D; R# R6 s# s, D
  ca
/ ~, f5 W: E1 f+ O, A. t  set max-grain 50( H; C: G0 }* L" r% `) c
  setup-patches" _3 h! I  G! ^0 c5 o$ Y
  setup-turtles; {& k) m) ^* m9 n! h( X: _
  setup-plots  w3 L- b) @4 |* d
  update-plots7 b; k  `) w5 }9 n$ ]7 D
end
: _# ~0 H7 H! S/ U4 M0 W$ Bto setup-patches
" e2 U( |1 z& z3 O' ?& r  ask patches& Z( T  m7 v- {
    [ set max-grain-here 0
: W5 P8 Y% c$ _! n- u4 M, e      if (random-float 100.0) <= percent-best-land6 W' X6 c- ~; p( R: o( I2 M. w; {
        [ set max-grain-here max-grain! y9 r+ ~' J) e' e) ^: p& W
          set grain-here max-grain-here ] ]2 h8 ^" y$ K2 D' d. Y0 ~: M' o
  repeat 5
4 V1 s- J* c4 N) T) U    [ ask patches with [max-grain-here != 0]" i4 D! l% ]" F% C4 D) [
        [ set grain-here max-grain-here ]5 F3 L3 ~+ k* i1 V
      diffuse grain-here 0.5 ]
6 U5 Q+ Z% E% Z) ^2 @& p! b5 L  repeat 10+ ~! g! ]( j" L) E$ L  q5 t
    [ diffuse grain-here 0.5]          ' H9 C2 \/ B  U: p8 d2 |/ U' o0 k
  ask patches
3 K2 e, `$ R: |& B& a9 j    [ set grain-here floor grain-here    ; o; Z& n5 Z2 R4 g7 k( X, |" u
      set max-grain-here grain-here      
% z- Z( o+ O% p' x      recolor-patch ], d" }# s! t% I2 L- }+ G9 C
end
1 O, |& ]* w; u' Uto recolor-patch  
6 z1 m+ S$ W, D% H7 y; t8 ]  set pcolor scale-color sky grain-here 0 max-grain
% j& A' z8 f; q5 _5 iend3 ^# n" x- \  m- `
to setup-turtles
: ~' C* G  e  {5 m' L  set-default-shape turtles "person"- o& E9 n, M+ k) C
  crt num-people0 b; y  \' @7 d% y- W
    [ move-to one-of patches  
3 ~8 g1 R: U* t/ M! ^. b1 K      set size 1.5  6 w6 K" p  J3 L: l& o
      set-initial-turtle-vars-age
' X5 ?2 Z8 r6 j( D7 l. ?      set-initial-turtle-vars-wealth
1 w2 l% P2 _2 X* i0 ]/ `7 `      set age random life-expectancy ]+ J. W: ~! g% x5 g, I' P
  recolor-turtles
; }: m9 i8 E$ s6 B2 G+ s$ Lend
- y6 D7 Y! v+ |+ m+ c' Y
9 v1 {( ]6 M# c6 X, Wto set-initial-turtle-vars-age+ c0 n. L4 v( }- ]7 J5 X
let max-wealth max [wealth] of turtles
& \" R% J$ F& j* f   
8 F- \! A- g3 J     ifelse (wealth <= max-wealth / 3)& e/ ]) Q8 ]( L2 `3 d6 @
        [ set color red
. h3 L! @- z8 W# z# Z" j, `: j          set age 0
9 v; j4 G3 p$ y: P' O7 l          face one-of neighbors4
8 P( A' ]: H; A$ ], g7 b          set life-expectancy life-expectancy-min +) \% i9 G2 X: B  J8 x  F
                        random life-expectancy-max
" Z! `( E  u% E6 z5 r$ c0 `4 ]+ _          set metabolism random 1 + metabolism-low
# e- z6 F& w( W8 t/ _          set wealth metabolism + random 30# T& W0 D8 d. R) V& _
          set vision 1 + random max-vision
2 t* S' n' ]. ~# t6 U             set wealth  wealth +  Wealth-inherited-low ]9 |0 C1 q: {) K# p- }
        [ ifelse (wealth <= (max-wealth * 2 / 3))$ F; Z" p6 d. q
            [ set color yellow 0 q' A% `3 K! Q! F) Z
              set age 0
9 w: c' r) j; u! ~9 l0 C              face one-of neighbors4
0 |- ?& m" @- I5 R4 z, K              set life-expectancy life-expectancy-min +% S7 r1 u+ |# x- `" s$ H
                        random life-expectancy-max + 1
0 X, H3 O1 [& U' w; s              set metabolism  1 + random metabolism-mid
+ Z4 ]: U' _* H1 v1 j5 W4 D              set wealth metabolism + random 300 @) r9 N7 I; O% d
              set vision 3 + random max-vision
) r2 F3 Z/ v: w8 [/ ~! c                set wealth  wealth + Wealth-inherited-mid]
& |( @& l9 ?4 W9 r            [ set color green
2 s- _' u/ R3 W! C6 Y$ ]) R              set age 00 w0 T5 ~8 \! x) d& @; @
              face one-of neighbors4 % c* c+ Z) {+ Y, W. r# {
              set life-expectancy life-expectancy-min +
. x* a: k- W' t1 ^                        random life-expectancy-max  + 28 H" u, P9 p2 h2 C7 m
              set metabolism 2 + random metabolism-up1 K- M1 [: ?; w4 h" L
              set wealth metabolism + random 30' k3 ^& ~4 a0 W% s3 }2 B1 {
              set vision 3 + random max-vision
* R1 z, W0 Q# Y- @6 u2 T              set wealth  wealth + Wealth-inherited-up ] ]
7 `# i, r7 P: u* q3 J$ g
! R4 \8 o; q! N2 Z9 M- Wend0 H* }" o" k! X+ h  w  X
to set-initial-turtle-vars-wealth
+ H* c0 G9 k" [2 _. a let max-wealth max [wealth] of turtles
7 h- N: j7 i  e5 h$ L2 G2 \  R          set age 0
/ I" q( Y& R- K          face one-of neighbors4
! P* P& v6 `" l          set life-expectancy life-expectancy-min +
4 x" N6 c; m6 t7 Y1 m                        random life-expectancy-max
* v) R* c) a% X1 e* |          set metabolism 1 + random metabolism-up
9 f" D! [* p) W8 e- w7 z          set wealth metabolism + random 30
& x) C8 [. n1 M  i: k          set vision 1 + random max-vision 7 R" h6 G- d1 s5 w' }
end0 v6 K& ~0 k  s; W2 b
to redistribution; S& c4 o& |1 B/ h! r, e/ ^7 h
let max-wealth max [wealth] of turtles
4 j# y: m- e! z" C7 j9 _) p1 Nlet min-wealth min [wealth] of turtles5 J, S4 d1 \- Z. a7 u+ u* ]
if (wealth <= max-wealth / 3)
% `1 V7 C9 e8 ` [set wealth  wealth + Low-income-protection ]- f- y6 ^# v( o0 @  }
end
8 e; G) m$ n- H0 b: [0 r& I9 _            P) ~, m& B3 {$ ^+ k
to recolor-turtles
) W9 H  T- L3 @$ V1 G& n$ B+ v7 M  let max-wealth max [wealth] of turtles
, e# U. e3 }, B1 d# |; W  ask turtles
, w9 X0 K3 x  {8 c   [ ifelse (wealth <= max-wealth / 3)9 x& b( L) h- v4 P9 e
        [ set color red ]
2 s: B  Q2 q7 o# {( X' H; ]( P        [ ifelse (wealth <= (max-wealth * 2 / 3))/ H9 X( S1 b: V. l- \% v1 R/ c1 u4 Z
            [ set color yellow ]
, _, g9 T& G4 D. I9 n) `            [ set color green ] ] ]4 s0 n' v, w0 b0 S3 @, x) _
ask turtles [ifelse show-wealth?
* `+ q+ |' g4 p- k  ^, K2 e    [ set label wealth ]3 Y' W' [8 j. K, Q- x/ ]
    [ set label "" ]]9 H" L" f, L' i$ X: Z
end
" g; Y$ M; U' L, y" e0 |  D
1 e7 B0 {6 [4 B1 u4 u. z' eto go
2 _: O1 I4 G0 b  ask turtles
. h6 v# M& y) H+ q3 v/ M4 C) V    [ turn-towards-grain ]  
8 r9 G+ l/ U% E0 h; a) W  harvest0 W, j, ~* @2 p/ ]+ G
  ask turtles0 M0 I4 k# N9 T) l) C1 ^
    [ move-eat-age-die ]+ D& K2 L& V, t
  recolor-turtles: t' ?% z7 y; M8 V% N7 T
  if ticks mod grain-growth-interval = 0
. ]( O- j( j5 H    [ ask patches [ grow-grain ] ]: L  T. n% E& B& t6 o) r1 c
   $ x/ E) k, X2 u9 B7 W
  if ticks mod 11 = 06 I: Q! ~4 p; }5 y$ E( C
  [ask turtles
( N/ B/ b' ~7 k$ a+ J  [ redistribution ]]
0 t& d* |' ^1 e7 u  if ticks mod 5 = 0/ \5 b5 D' W, t; H( l, P7 z7 i9 Q1 `
   [ask turtles  V4 [. s3 W- o0 j+ ]2 K* H; }
  [ visions ]]
" |" V- p+ c6 B) f" _8 f  tick
0 Y: _7 M3 k( a& D: k  update-plots
, A% M2 F" _6 [/ l; U7 [end
+ {4 j- z5 @. R' F% Kto visions
- |" f; O( D1 T. T set vision vision + 1
+ k+ [# z7 d  _+ R- Eend( v& W! E5 S* A9 w

) i; C8 U& Y9 R% Z! g# j1 l/ m% r8 ~1 o  J" I/ Z: E+ t! _2 m

) P3 v  l9 a$ p; B" o0 S- Zto turn-towards-grain  
& M' I: f5 h$ V$ ~! \) L  set heading 07 w! I% R* Q- \" `) D: ~, s  G
  let best-direction 07 c) Z( o% a$ n3 y% F( ?4 u4 j
  let best-amount grain-ahead* e5 O8 t: i0 F
  set heading 90
: G' c" B2 r5 O5 `3 x' W3 P' l* O  if (grain-ahead > best-amount); S0 d  Z* v" H' j
    [ set best-direction 906 B) v0 ~) U( I& G/ ?1 Q1 k! G* X
      set best-amount grain-ahead ], v+ d8 z5 P" S% ]7 a7 w) J
  set heading 180% [5 l8 f/ |3 K7 f" C5 z7 a( Z
  if (grain-ahead > best-amount)3 C2 V2 c& \/ f& A' j
    [ set best-direction 180' x) y) c2 T4 }2 |0 ^8 I
      set best-amount grain-ahead ]. l0 p' t4 S( g  E8 {0 [( W# s
  set heading 270
. K- W) H- D$ t/ Z  o. \# x5 j  if (grain-ahead > best-amount)
' G% h; f( ~+ v$ _4 q$ P) k7 v    [ set best-direction 270+ p+ A3 q1 [( l
      set best-amount grain-ahead ]
7 V) k' t: B4 j  set heading best-direction! R; I6 b' `# @, A
end
: w7 j: M! q- O' G) D
( r5 W0 d+ [& d; d' q7 p
5 n8 E) k6 \: I* s2 ]to-report grain-ahead  & v9 g$ Q9 o5 p( U( E
  let total 0
  I, C9 v7 d, i$ g  let how-far 10 I% P9 V+ _5 F/ ~" ^
  repeat vision
# @- O; ?- R2 S3 N    [ set total total + [grain-here] of patch-ahead how-far
' S0 p3 s1 }) O' V7 X8 `+ Z      set how-far how-far + 1 ]2 l, p$ b0 R1 E" Q" N) e7 ~
  report total! e  K$ k: B5 s
end
- \8 i- E2 E5 V$ R  Q6 i- X2 k% W0 G$ W* s: C9 s' y. U' J
to grow-grain 2 R' }9 L2 y- G. e( `) g
  if (grain-here < max-grain-here)
3 P" i  O( B) }& o# G& z4 o2 C. h3 u    [ set grain-here grain-here + num-grain-grown
2 z/ i# w1 h3 ^6 t8 F+ V* l      if (grain-here > max-grain-here)
7 M& j; _4 a# n6 O- O        [ set grain-here max-grain-here ]/ T0 L/ z4 h. v1 w9 W$ ^
      recolor-patch ]! d3 G6 e, h! T2 @2 q
end
3 O& a& I  T) h9 m: U7 L$ Hto harvest% v7 V0 H# y# `/ @
  ask turtles
  ^! H& E% ~' k; ]1 p' A# ]    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
: E. {+ N% S& f3 X3 ]0 J; T) j1 L7 `  ask turtles6 I+ m7 ^% R8 L. _. i
    [ set grain-here 0
+ q3 i4 }- N; R2 r+ y$ G) C      recolor-patch ]
5 A" g9 \$ l) U  9 F- I5 m  m- z: q5 `
end
8 {5 I6 Y6 p# R7 s5 C. P" L0 b' n" X; ?6 N. D- a& y
to move-eat-age-die  ! f  @# ~. |, J1 S; }
  fd 1
! P: D" w7 j9 _  l  set wealth (wealth - metabolism). e5 @# j) [7 J* `
    set age (age + 1)
  _2 J2 b9 @% ], K8 e/ }. m" g  if (age >= life-expectancy)
9 _" n  g, W+ L1 t/ ?+ [# j    [ set-initial-turtle-vars-age ]
, D7 s' e2 B6 m6 x  if (wealth < 0)
9 I+ N' v* H- u2 l0 D    [ set-initial-turtle-vars-wealth ]
2 E" ~0 g; j& u" u1 b   
0 Z' I  s! N$ E% y% \end/ y2 D# o$ }* }' J
. H5 v4 I' J& N4 u9 c: ~5 t
- D2 B2 u! Q, o; H
to setup-plots
$ O* y; d; k. _8 \8 h+ j' Y  set-current-plot "Class Plot"
1 M, t5 |+ [7 @4 ?5 F$ B  set-plot-y-range 0 num-people
1 ]. g& m6 N! y/ L  set-current-plot "Class Histogram"
& C% g3 Q# W% \5 ^/ p- C  set-plot-y-range 0 num-people  I. Q7 F( v( |3 }
end
- m9 A, n' e& [/ O, N; e. z
! o5 @* f* ^& L8 }2 ?& R: dto update-plots% T  I( s4 @; R  Z  R! Q8 \
  update-class-plot. d- j# E( S7 V9 R2 O0 F! H
  update-class-histogram
1 T1 O9 [) x( g& M' [$ M  update-lorenz-and-gini-plots* m) j' g$ Y3 [  q3 Y
end4 l1 r% o* ]' _6 k

# K; ]: g4 }( n' r( t* Oto update-class-plot- P* }0 ?. }+ t) o: T
  set-current-plot "Class Plot"' {" M1 f. E! ]' j
  set-current-plot-pen "low"
9 t5 t1 o, E1 `$ j; D% \  plot count turtles with [color = red]# f6 K, O0 Q; V& M$ D" I7 p& F
  set-current-plot-pen "mid", d/ J, x9 |$ Q# N# g; h( ]
  plot count turtles with [color = yellow]
0 v* y9 Q5 {! ^  [+ I, M  set-current-plot-pen "up"3 V4 X3 O! ]$ ?1 q) k
  plot count turtles with [color = green]% w0 g/ T8 s6 s% J5 E1 r
end
4 g5 v/ I7 k0 u- ?& I" F  [6 w. V' _: A2 {4 v% C5 y: p
to update-class-histogram
" _  D7 m9 U  Y: u  set-current-plot "Class Histogram"
2 ]3 u5 {8 W0 P3 W  plot-pen-reset
8 @& R7 C4 K% j2 p* u4 t  set-plot-pen-color red7 G  x  X- }# h* F
  plot count turtles with [color = red]; b. b" k! c# d" y8 O
  set-plot-pen-color yellow: q6 m, Y+ z% t) S2 u
  plot count turtles with [color = yellow]
. S0 I2 I" j6 b0 w. W6 R3 b# P4 E  set-plot-pen-color green2 V/ v! C) m& I9 ?- q! T" Y
  plot count turtles with [color = green]
+ a6 p4 |4 h7 M+ @- Iend
; R5 ]5 J/ v+ e/ K( s1 \to update-lorenz-and-gini-plots# N4 W" S* Z5 l9 L! S
  set-current-plot "Lorenz Curve"7 }6 q. a  u) Z; o/ ~
  clear-plot
2 c! f: E1 E% y) s, l) ^
) T5 v) w5 A6 K2 V  set-current-plot-pen "equal"
6 C2 F; ]/ U' ~  plot 0! O+ B- S5 |( j+ ?- O% \: L: N* i
  plot 100
  |% P% Q7 Y, l6 {
8 c: k, D* z% i: G; d2 ]! {! u  set-current-plot-pen "lorenz"0 p$ Q+ G( y) J, j  W  C
  set-plot-pen-interval 100 / num-people
7 A3 n# ^  N0 r: L& }( C  plot 0
1 J  A# Y" ?( \, J3 G2 B. z
" B6 T) D- b8 R. g" j/ F6 L1 |  let sorted-wealths sort [wealth] of turtles$ w' v- _+ o, s' k- [+ ]
  let total-wealth sum sorted-wealths) s7 D% {- ~& P: S8 \
  let wealth-sum-so-far 0
' P4 J( v  O" ?" ^  let index 0# Z/ W/ B+ f( Y: i
  let gini-index-reserve 0
" V$ G/ S$ v/ h
# A& B! C2 L& [# v# \  repeat num-people [
; T7 {& z7 Q0 ~# z+ @# H    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 d9 x1 C/ z2 H- F+ D    plot (wealth-sum-so-far / total-wealth) * 100
$ w8 N, F7 V+ L! H5 n, L    set index (index + 1)8 ^6 h9 W- r( a. P1 V
    set gini-index-reserve
7 v1 r1 K7 r: _& A      gini-index-reserve +
* b1 R6 B( Z4 F6 R6 q, X      (index / num-people) -
. W' u+ _( b" W: V      (wealth-sum-so-far / total-wealth)
9 H: k6 o/ _" U3 F  s$ Z  ]2 T; u0 r7 ~3 W+ G/ G1 f" B
% b* c. v* ~) z
  set-current-plot "Gini-Index v. Time"+ \( K; r, J; V5 B
  plot (gini-index-reserve / num-people) / area-of-equality-triangle; Q! E7 ^/ `( T8 V1 Y3 Q
end
) t) G4 n+ N# L/ Y7 n; Xto-report area-of-equality-triangle) `8 [; \; c0 v/ F( t
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 U! w2 ^# J2 y! C
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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