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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
' {5 c7 g$ E, I6 A- q& aglobals0 y+ O. y/ \( T
[* x8 t' g. H7 \, H+ D" I+ j
  max-grain   
1 X2 m3 Q/ O: A: j
5 B& a" v( D- }- y/ S0 W, l" Q, g]( U( u, g1 Y3 u; Z6 M5 |0 \, Y
0 w6 {2 v0 S. z9 t
patches-own8 v/ a0 i2 k" u4 M" l  x: @$ T9 s
[0 H0 V! B: Z, Q  R$ A
  grain-here      3 @$ f* v+ ~+ u1 z1 x9 X. t0 T. R
  max-grain-here  ! v0 Q! y0 p8 A# L+ M
]
6 @6 A6 V0 U3 L4 _, Q4 T! [' [
; T& u- C; N; ]( S: v' r8 wturtles-own
9 x7 X) w. ^9 Y6 Z) U$ B[& L; a. M9 X7 b0 x
  age              
- K8 |" h; a2 E$ E  wealth         , ]6 ^4 f0 |0 k3 G, b4 u" E9 Z
  life-expectancy  
# X1 |3 e% A* _  metabolism       / z7 w9 j8 A& J+ \5 `: q* A& ^
  vision. M: ^$ j5 d5 J3 n4 Q
  inherited         
9 R: p5 Z5 m9 H& d5 C" f]7 j& b7 G+ P8 G- Q
7 V/ X! ?* l8 \2 P# v+ p: _
; y* F  G# G6 i6 |) s* ?0 {
to setup& P0 R9 f" }5 m  v  a! k
  ca, {( X: f+ W+ m* \, h3 X# m' L0 w# b
  set max-grain 50
! s; F9 S8 n' B* y4 Y  setup-patches; q( {& y' o3 {7 s' l
  setup-turtles+ Q, l: a5 u3 ^) k' ^
  setup-plots, A( I5 R4 a& D2 S1 [, e" K& [" p- K
  update-plots
+ f; @3 h- g! Y6 d9 Qend
& y3 g! c/ F) wto setup-patches
* f  N4 f$ g, M- W6 ^4 v0 h( H  ask patches" I5 J: t8 [' G' v
    [ set max-grain-here 01 r1 _% i# m) z# O2 {1 M9 q/ i
      if (random-float 100.0) <= percent-best-land0 N; x7 J7 O+ u- V" Y
        [ set max-grain-here max-grain9 D+ {8 ~: i" Y# z, T' A; ?
          set grain-here max-grain-here ] ]
( X0 o# e' k! H, H  repeat 5! X6 k7 ^, i( v
    [ ask patches with [max-grain-here != 0]
5 r3 ?% a% p0 _; p7 t) @1 x* [9 X$ L        [ set grain-here max-grain-here ]
8 b+ W/ }! a2 f$ D3 \& Z! h      diffuse grain-here 0.5 ]5 w; E' d( F& @
  repeat 10. y2 }2 o! C* Q! j
    [ diffuse grain-here 0.5]         
: c8 @; x  w$ [8 X- h! k% _  ask patches8 d* P( {7 B) e) [: c
    [ set grain-here floor grain-here    & D+ O; L; P. @
      set max-grain-here grain-here      7 C/ x+ ]' f1 L* v, @& R
      recolor-patch ]. A" ^2 U# Q% @; l2 l
end! a) r/ m: _+ f7 ]
to recolor-patch    j, v# R2 j" |" l+ x6 O* i: f
  set pcolor scale-color sky grain-here 0 max-grain
6 D# N$ g1 c/ p( l. f$ C* N( k8 Eend4 e8 w" ?( {& l
to setup-turtles9 [* y6 |$ z; Z5 E4 l
  set-default-shape turtles "person"
% n2 T. i; p4 _( U  crt num-people3 u& z; Z* T+ d' v7 ^0 z# Q: e
    [ move-to one-of patches  
/ z9 R1 G( |  f" D% R5 v( v: v      set size 1.5  % z# Z  W6 x" `$ U6 B; ~% s) d
      set-initial-turtle-vars-age0 q/ o2 R2 d- p3 n! `  M- ^2 V
      set-initial-turtle-vars-wealth
1 T8 O. _2 v2 _      set age random life-expectancy ]
* o% {) D  T9 s* W8 }% O; _/ S  recolor-turtles% W; l, O8 G0 l" u7 }2 j4 G8 P& `
end( d2 F& @: `7 a: Y2 s4 P5 g7 u
, K" k, X. T3 h# i4 c
to set-initial-turtle-vars-age. w  A. s) Z- y8 I) k8 P- e& a
let max-wealth max [wealth] of turtles
7 ~+ D) k5 X8 B* n    ( ]5 h4 b) q0 C! Z
     ifelse (wealth <= max-wealth / 3)
- z6 `) K3 {. k        [ set color red
. H# I8 n  U7 z8 d          set age 01 p% n# W  G0 P, ]2 s
          face one-of neighbors4
, o) r: m: @" ]; Q! H          set life-expectancy life-expectancy-min +
! @7 s* |. A* E& s  X2 \" p                        random life-expectancy-max
+ @: j/ Z  ^3 t9 ]) W- @( N          set metabolism random 1 + metabolism-low: _+ y6 p& ]% f8 k& P
          set wealth metabolism + random 30
" K7 c+ L' l0 ^+ ]4 Q  D          set vision 1 + random max-vision: h* ^/ J( s* L/ O1 C
             set wealth  wealth +  Wealth-inherited-low ]- ~4 \- J& [5 _4 B" {
        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ C6 `. C9 K& B( ?            [ set color yellow , Y+ _4 b: u7 ^' e8 n. S* Q
              set age 0
) q: F8 m: `7 R8 D& a9 H2 r              face one-of neighbors4
. _" d* g, b' u6 R4 M8 r7 J              set life-expectancy life-expectancy-min +
, s8 l4 k) t: B                        random life-expectancy-max + 1
9 z6 P1 O6 P* G; p              set metabolism  1 + random metabolism-mid* v, L; x9 j: G$ i: |
              set wealth metabolism + random 30- a0 A# E6 O/ C3 X0 Y5 M
              set vision 3 + random max-vision
- S  N. V1 @& k0 q4 q1 t                set wealth  wealth + Wealth-inherited-mid]$ r3 Y' V+ X) t1 {, T2 m- @
            [ set color green
! v9 A: F- H3 l              set age 03 f4 Z& X7 ]7 }+ b& f4 f" T
              face one-of neighbors4 1 W* ^8 G+ v% s2 e
              set life-expectancy life-expectancy-min +* L$ T; N- J+ L4 G/ R0 k: G1 u$ o
                        random life-expectancy-max  + 21 V- R7 u) t, d' e7 ~0 S% T
              set metabolism 2 + random metabolism-up
! H2 I4 s7 j- j              set wealth metabolism + random 30; b  @; _2 E7 P0 u
              set vision 3 + random max-vision
4 k- ]$ D% P) X              set wealth  wealth + Wealth-inherited-up ] ]
2 v) P$ g6 }- l5 ^8 B5 U0 R
/ r, U) w8 i( g! iend0 U% v# t( X/ x& B
to set-initial-turtle-vars-wealth) ]! R) X, u2 l
let max-wealth max [wealth] of turtles  e6 \0 A. I) E/ W5 _  G0 o1 {& k# B
          set age 0
7 R: m3 }7 w1 {2 l- e          face one-of neighbors4
/ u  B; _" ^) k' J5 O' R          set life-expectancy life-expectancy-min +" w( t+ G4 q4 b1 |+ z" K
                        random life-expectancy-max ( j4 ~- B% q0 t: x& B
          set metabolism 1 + random metabolism-up
  I1 w8 I. F$ o3 F7 r3 r) t- o          set wealth metabolism + random 30/ k3 Z- }; m' L
          set vision 1 + random max-vision
; c3 O3 e4 j7 ~) {3 j4 @. Z$ Iend# ~; V/ g8 d* e
to redistribution
3 l% ^% M3 z/ K: }! [let max-wealth max [wealth] of turtles$ g* Z9 y# Y' z3 p/ O
let min-wealth min [wealth] of turtles/ g: g" h# T+ w: ~1 I1 q6 n
if (wealth <= max-wealth / 3), V5 s1 Q4 d: T: V/ f( U8 }- D- ]/ A
[set wealth  wealth + Low-income-protection ]
3 |$ s9 p* y' E" s$ cend8 j" z: h6 J  I$ y4 Q( x: l
         
5 T2 B4 v0 y1 a: e  }to recolor-turtles; q9 D1 _* l/ G* x' P: B* L5 l; Y" \
  let max-wealth max [wealth] of turtles  t; q6 ]6 j- T6 e; w' f/ g
  ask turtles
% Y4 f7 Y, s2 e) M5 r( V- E) ~+ C7 T   [ ifelse (wealth <= max-wealth / 3)0 j& H2 W) I1 l6 b4 ^/ |
        [ set color red ]
1 u" i8 I% @8 E/ E: _        [ ifelse (wealth <= (max-wealth * 2 / 3))
" ]+ V% x, m+ k" E            [ set color yellow ]
- q' ?2 y) o, I' `            [ set color green ] ] ]
9 c5 \- X* R. `) j ask turtles [ifelse show-wealth?- c5 f  c5 b  f* ?# n
    [ set label wealth ]0 z1 c  {% I( ?2 h! N4 S  D
    [ set label "" ]]4 Z. ~& k' u, R
end% g9 k% f1 w$ l* L7 U3 m
/ y! \" g9 p5 V
to go5 D0 u  `) `8 k% _% e
  ask turtles& L  r5 Q8 X) a( K
    [ turn-towards-grain ]  
0 f; A! k( w5 H. u  harvest
8 A: p- _* \: Q  ask turtles
7 }* l2 M9 k1 o    [ move-eat-age-die ]. q7 s* r7 U" |
  recolor-turtles& j1 ^: Y! j+ A
  if ticks mod grain-growth-interval = 00 `" ^) ]: m  q* q
    [ ask patches [ grow-grain ] ]
( f1 v) J0 T% v; g9 Z! B   
, }6 o8 e) W# K) J3 _% o" R  if ticks mod 11 = 0* a3 ]2 a' b- l# ?) I0 ?
  [ask turtles7 C- z$ ~$ z8 ~
  [ redistribution ]]" l3 p0 y- z# L0 P, n7 {
  if ticks mod 5 = 05 k, G% b0 L6 ~2 L* l5 l6 H
   [ask turtles1 M6 ]3 W" \: C7 H) \
  [ visions ]]
% _% M2 U2 A* p# T$ G9 a  tick
3 Y0 p3 S2 D  _% z  update-plots
; u5 X7 h$ |. Z" J6 [8 {- send
4 I7 a4 a. [4 z: r7 }0 `2 oto visions
9 S5 o6 I" @# F/ l set vision vision + 1
/ d. _5 l& I1 T! v. |/ Uend! _0 k6 J3 v& S

4 L" U* a) b8 Y+ O. J0 I4 l$ T
& s. }. L3 u- F' E8 k  \& X0 k3 |$ D. a
to turn-towards-grain  / E1 `, M; `. l3 Q
  set heading 0
# ]2 R" j' R  e# m6 k& i  let best-direction 0
2 t- ^  Z& n* {5 w) p  |' g; v  let best-amount grain-ahead' g$ A% {3 J( D0 ]6 D8 e
  set heading 90
; V3 Y9 F0 c" d+ s. U  if (grain-ahead > best-amount)- f: r9 J2 v& Y: ?
    [ set best-direction 90
, R: H& w4 @5 ]7 R7 i0 O; ]3 Z. N      set best-amount grain-ahead ]* G# s' P: @8 [% m$ Y
  set heading 1807 b' G+ {( Y6 e$ A# c  m6 e( x
  if (grain-ahead > best-amount)! v5 x) l+ Z" r( k, i8 ]
    [ set best-direction 180
1 \# ]4 s+ l( J2 E# s: |; u* p4 G1 O1 b      set best-amount grain-ahead ]
2 N) `6 s( k  F  set heading 270* k* U( f5 z7 Q7 F5 ~
  if (grain-ahead > best-amount)3 R; J; r, j. W6 {
    [ set best-direction 270
$ h# k: j: K* b- t& ^      set best-amount grain-ahead ]  V2 c% s0 P4 ?- P/ f3 _
  set heading best-direction
. t/ _$ o, H% @7 N/ jend; q# k. C8 m6 B% x9 z# ~. h
2 m* W; B1 S) _6 e8 L

3 _. q7 Z& Y0 s* b8 Bto-report grain-ahead  - s6 e% z  C+ Y6 j
  let total 0
: w( ?# y, R5 _- Z8 R9 J  let how-far 1
, h' h9 ~$ I: q8 {, ~  repeat vision
7 b3 J8 w" t; V0 W. e8 N$ f' O    [ set total total + [grain-here] of patch-ahead how-far5 p, h! X" K0 y; v; S) W+ ?- L
      set how-far how-far + 1 ]
0 j! T' ~; r" V3 ?% i) a% f  report total, \, j2 B2 T2 m' y( d' b5 G
end0 A+ R/ z; N, x2 e/ p# T; d8 O

6 N6 b  \. q2 ?  r0 l; Pto grow-grain 4 K) X9 C2 s1 f) X0 q" |
  if (grain-here < max-grain-here)# u" Y( L* L$ d  w/ Z$ s5 B+ J9 j
    [ set grain-here grain-here + num-grain-grown
6 I$ [! e/ O! W, [8 x+ b      if (grain-here > max-grain-here)
1 u) Z5 h/ C4 ^# t        [ set grain-here max-grain-here ]
4 K4 ^6 L$ Y4 H! v3 u9 o+ l      recolor-patch ]
; `  D5 Q8 ~* c5 J: }end
" l* K, J/ k, ]- u. Q. n% s; b* ^to harvest4 z( ^7 r; p( j7 J" |
  ask turtles
/ m3 |) L' r5 p4 |* }    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]; I; @/ i% C- d' j3 C
  ask turtles9 u$ Z( Y; d) V, a, G9 y
    [ set grain-here 0
6 [. N# c# J3 q: @      recolor-patch ]% {, z$ N; d. n: y  g1 p) A- Z! o
  
) s- F( o* P  [# M* i( Q  f6 L. ?+ Gend
  ~7 m1 L" R8 b  ]% L3 V, F3 O1 y6 _$ W# d* A* l/ x
to move-eat-age-die  ) a+ c& W8 j5 S3 k( P  H
  fd 10 r4 N$ X2 ~/ {! x, D. ]2 ~
  set wealth (wealth - metabolism)- Z! m. {6 C/ z- R6 \
    set age (age + 1)! e+ K- u5 H1 G+ k) U$ \" ^: D
  if (age >= life-expectancy)
# I3 x& L: R7 t9 y0 O: H; C; Q    [ set-initial-turtle-vars-age ]' c: A4 g7 X& |" E# M
  if (wealth < 0)5 B- l$ n+ v- r* m
    [ set-initial-turtle-vars-wealth ]8 ]+ w, Q$ o2 @+ E+ k
   
) v. P8 }) D, U$ P( Cend/ s5 {+ D  F$ g* c' k1 `

6 `. f: S2 F3 ~- K4 t
! H& y2 _' R5 l% ito setup-plots9 N5 s+ t0 J; V5 k0 q+ }
  set-current-plot "Class Plot"
. m  W6 M  ?) ]& r' a7 ~  set-plot-y-range 0 num-people) T: m; s. Q! {) O5 w! U, s
  set-current-plot "Class Histogram"
0 y6 c2 l# K: K. N$ c0 Z( L  set-plot-y-range 0 num-people6 M2 |( j/ s) \8 H
end( J4 I1 Q2 U) A# V# V: P5 b, `
0 Z, P+ Z: v  ^! e6 M% [- T
to update-plots
, f7 r7 z. @; ^# u  update-class-plot
4 u7 {' M) L  b+ E  update-class-histogram
- r: p! w- G7 Z( ]( N# r  update-lorenz-and-gini-plots$ a6 U/ e9 ?* L/ I2 C* H. P
end) C' C( f/ k* Q3 h7 b

- P3 `0 z5 t, A+ _( cto update-class-plot
2 d, i* n: A5 H! F3 m  set-current-plot "Class Plot"
8 m" \1 t. I( A; n  P& L  set-current-plot-pen "low"
1 Y+ s7 F! i1 c6 e1 N. G  plot count turtles with [color = red]
3 Z' s! \$ n. z. `  set-current-plot-pen "mid"" v) U, s4 X6 y5 Y. _5 G
  plot count turtles with [color = yellow]
: K2 p& v# B! w  set-current-plot-pen "up"
, f0 `" R, @+ j& P" m4 M. U4 K  plot count turtles with [color = green]
1 F' R4 c# C! |+ c! zend) Z+ ?3 p7 f; N0 M! M1 ]6 U
7 E. c( ^) ^* F5 w% A7 [5 I/ E5 ?
to update-class-histogram1 i- `# I% C0 f$ X0 q
  set-current-plot "Class Histogram"
4 V! U' }3 \) g) I+ V4 |4 O  plot-pen-reset$ S% F# v+ L) A' t% d1 a/ @" y
  set-plot-pen-color red
4 l$ ?6 P, W' S; Q* p  plot count turtles with [color = red]
2 q, f, V$ _- Z- D3 r  F  set-plot-pen-color yellow
, m' L& J* {5 U4 Q  plot count turtles with [color = yellow]6 N6 e* l2 s# v: g( `; ^& Q
  set-plot-pen-color green- t! j' d& m0 J: s' h/ `
  plot count turtles with [color = green]
; b; g; I3 r2 jend
8 A9 m8 i! S8 c# i; x( c+ j9 @to update-lorenz-and-gini-plots7 L2 {% J: k; ~5 S; H
  set-current-plot "Lorenz Curve"2 I" `& k, P( c2 }
  clear-plot
* P; Z5 W  b- ?3 O
7 U8 T, z* {  f: t' E% d  set-current-plot-pen "equal"* f0 M& X0 l8 H
  plot 0
/ g0 I5 }! W" O; k! h  plot 100( M' @6 f# u$ F* g/ `! u# u% ^
+ J: U% I& S7 G0 V  ?9 P. a' z# `
  set-current-plot-pen "lorenz"
4 v. K2 ^9 L' w% x1 @# b2 [  set-plot-pen-interval 100 / num-people" s. W. e1 f' ?5 g# d. H: v" [* t
  plot 0) I* `  F! v% Z+ ^/ T! y: p

. l! O' k1 Y9 f7 l5 x- s( {  L  let sorted-wealths sort [wealth] of turtles
# G1 N8 `9 }& h! T  let total-wealth sum sorted-wealths5 \7 B$ c4 d" y; k/ L9 E
  let wealth-sum-so-far 05 b) o8 T. h0 P/ b. O* h" m, w
  let index 0
* K: J1 c* G9 B! f% B9 Q- M% b  let gini-index-reserve 0% i0 A: j, x8 e4 y8 T* V

/ b, ~! w- U, `+ z3 k# J, r" E  repeat num-people [' C- f, L; H( ]' I
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" B2 @: d1 y& P# o    plot (wealth-sum-so-far / total-wealth) * 100
+ u" s, c) V6 k    set index (index + 1)  `0 K3 h1 z9 v. r# Y2 f5 U
    set gini-index-reserve2 ~. o/ C6 Y. n0 q: P& i6 J7 E
      gini-index-reserve +
! @  p6 s; i4 j      (index / num-people) -
& c6 p9 L+ ~, G: }      (wealth-sum-so-far / total-wealth)2 t% y8 B0 p2 b* `5 O" ?7 H, c
  ]4 k( Y  l' s; E$ p

( g. l) q0 R- _) ^  set-current-plot "Gini-Index v. Time"
, L; E4 a# ]0 w& |7 O. f/ |% w0 w4 I  plot (gini-index-reserve / num-people) / area-of-equality-triangle
9 S/ U% E. m* c0 Zend
$ d* R2 S% \! E' \& }0 k1 m) G( L" hto-report area-of-equality-triangle
" Y' R: l$ [. w6 \6 H  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( i- P; j1 `+ h; ~6 X8 [: Dend
 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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