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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
; Z5 b0 w7 A+ D: N1 tglobals
" A) i& B# W2 {3 x3 S) y[( K# @' O1 P5 P: y
  max-grain   
) x( o/ r9 @5 w9 ^4 p
6 P, p. E3 ]% [' \% F]% @9 G* M/ I% K

: Z0 C3 S8 ^" q9 c0 b: ^patches-own& h+ e! g! n2 N8 Z9 V
[: V. K" s1 ?( X
  grain-here      ' A* \: g5 F& S9 S' q$ [8 `/ I3 f
  max-grain-here  
$ x0 [8 @+ @9 F% L* n$ d9 v7 P4 f]$ u0 f+ v& \: O" d: ?$ m  o

0 h$ e1 n! P7 ]% \1 {; L% g; ]turtles-own# r7 D3 M3 Y/ j- z
[
$ L* }  T% B% v8 F  age              
5 n  `. X$ ]0 k, Q  a) w  wealth         / q' q. [; b7 G6 I  F
  life-expectancy  
. I1 Z& v9 C3 q$ B$ m  metabolism       5 l, Q' h; j4 b, [) x
  vision
5 D$ H  _; T9 c. N1 P! ^  inherited         1 i1 R2 L5 B4 j8 b- R. V) i
]9 u- Y( @1 X- `7 m! Y0 T

- g( I% m- @" I4 D* X9 @
% D) {! H5 U3 h/ ~  f# W2 Q9 F! `8 ?to setup
7 o* B4 R. L! s  ca
2 {3 v1 l4 M6 I  set max-grain 50
4 Y3 {: F( w, @9 f6 I6 C2 Q( l  setup-patches
8 e7 Q# c( R. [, W. s  setup-turtles0 z& }5 z% q( f; c1 L9 t$ o
  setup-plots
0 k8 f4 {- n, v. G+ |  update-plots  O$ z. V$ n# F7 ]9 {: X" }5 g
end
' B% c1 P" K' dto setup-patches  r, Z* x2 i5 O
  ask patches$ n% i- T! g/ a* o7 c, i' h: }% l
    [ set max-grain-here 0& q+ u5 k  D! s
      if (random-float 100.0) <= percent-best-land& ]1 c: k  r& K) |+ }7 s3 d) G
        [ set max-grain-here max-grain
/ y0 u8 Y' M7 R1 M$ Q( B  A          set grain-here max-grain-here ] ]
) x/ Z6 r# U: |5 i& `7 e  repeat 5& z4 x0 Q" h% E$ ?1 C
    [ ask patches with [max-grain-here != 0]5 p* n( E1 F: H1 {3 o8 ~1 s/ }
        [ set grain-here max-grain-here ]
. U7 m& ?+ k4 }! p      diffuse grain-here 0.5 ]: o' T' i7 Y! l4 p4 V9 S  V* y
  repeat 10" h- w2 v$ k, _
    [ diffuse grain-here 0.5]          0 b" {( J" n6 t5 f) a4 L
  ask patches
7 E1 V2 F" b8 K% I' u4 X6 J4 P    [ set grain-here floor grain-here    6 ?) }. S, A$ w) |' f4 i1 ]1 _" W
      set max-grain-here grain-here      
* w( R" d; F& `5 R& |2 T      recolor-patch ]
9 C" K' W& S1 \) j4 \" n6 O- Z1 Nend! }( d) z. y! P) E& u6 ^
to recolor-patch  
* I2 F& F- R; p2 u2 F8 `  set pcolor scale-color sky grain-here 0 max-grain
! }9 }. l) ?/ k" Q: H" nend
7 _/ w' U% u9 bto setup-turtles
2 B3 S0 O: O0 q9 c  set-default-shape turtles "person". y  i1 ?8 X" ^! E7 r
  crt num-people+ a1 @! D. ?& l4 U9 A  W3 j
    [ move-to one-of patches  8 t# f% N( o# K4 s4 Q
      set size 1.5  
' b+ C+ X# f$ i  t      set-initial-turtle-vars-age
3 x5 L3 v" G; O* d8 ]9 V      set-initial-turtle-vars-wealth# Y" Y# ?* i( A
      set age random life-expectancy ]* Y. X2 [4 \$ ~$ V3 E
  recolor-turtles1 p, n. g/ [' J/ `. f
end
% P$ c! g) k; m, }, u4 G3 a% _0 q6 x6 {4 B
to set-initial-turtle-vars-age
6 L  d& a1 W$ R; @/ T/ D0 u2 |- E let max-wealth max [wealth] of turtles) s% v  f2 ^, J$ W, S& q
    + e) \! D- B+ [
     ifelse (wealth <= max-wealth / 3)
5 @& ?5 y4 u! H0 J  N& o! @        [ set color red
: T! Z+ L# B7 M! @  D( k          set age 0
. O6 J1 A5 I3 p  |8 J          face one-of neighbors4
9 R( {5 K3 a2 l. u" `6 K( [# C5 W" }          set life-expectancy life-expectancy-min +# q$ L* h6 h" \* }8 J! _/ q) i
                        random life-expectancy-max
# S8 Z1 ]7 |" d: ^& F( v3 {          set metabolism random 1 + metabolism-low/ A/ {1 c8 u" E# k/ s% D  c
          set wealth metabolism + random 30
% f  H  Y' |/ R% j. }# D          set vision 1 + random max-vision
0 T( u, p5 g% S- Z6 `. c# g7 T             set wealth  wealth +  Wealth-inherited-low ]
6 Q" R& V  w3 v1 ^! u        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 Q; Z- H' B& t2 q; v% V            [ set color yellow
# S& e; g. u0 @+ V2 [* {              set age 05 o5 p6 g; v- i" I" C: B8 ?
              face one-of neighbors4
) b6 F& i+ X4 x7 F              set life-expectancy life-expectancy-min +
" X9 @6 O3 F& u$ p; B: z8 n                        random life-expectancy-max + 1+ x6 u! I1 A* r6 E& P
              set metabolism  1 + random metabolism-mid
0 F2 ]+ H# y% A7 M  W0 O              set wealth metabolism + random 30% t0 H, C: o" j- p; t4 F
              set vision 3 + random max-vision
( b7 `5 N4 `( J& l% A" X! E                set wealth  wealth + Wealth-inherited-mid]2 d  _3 A3 u+ H; f4 t
            [ set color green ' y" }, C; }( p' I
              set age 0( q* @( E6 x7 T+ Q, F8 U
              face one-of neighbors4
+ Q  s) {/ R: G, X              set life-expectancy life-expectancy-min +
' Y3 U4 R# J1 R5 Q, K8 J8 B                        random life-expectancy-max  + 2
2 n7 j5 g( X4 Q( A& T0 [* a              set metabolism 2 + random metabolism-up" T/ g) {9 }% _- K: `
              set wealth metabolism + random 308 B9 C" ^2 B. L) o" W
              set vision 3 + random max-vision" p& _& Y* b1 a$ Z/ c; v/ Y1 W
              set wealth  wealth + Wealth-inherited-up ] ]
# f+ z' K: _& d
6 ^5 Y6 x& v) T5 h9 s; kend& R1 I9 p7 K- H3 h' P: h
to set-initial-turtle-vars-wealth  H( z6 {2 Z8 m! D( X9 }
let max-wealth max [wealth] of turtles5 Y1 f# k' ^; X& M( M- P
          set age 0
' g* p& v; P3 \; _          face one-of neighbors4
$ T2 H5 J: }2 l$ t* t1 F$ x$ B          set life-expectancy life-expectancy-min +' w5 @8 u8 m& W9 b9 N: U/ S8 W0 Z
                        random life-expectancy-max + M  T" [0 Q0 I% M0 Y
          set metabolism 1 + random metabolism-up
8 l) \8 s( Y9 k- e6 i# r  h          set wealth metabolism + random 300 @- |, x6 Y. Z
          set vision 1 + random max-vision
" q( [8 T0 ^0 u. a/ U5 c" |end
3 j. e1 \! Q+ Vto redistribution) P5 L% @& W0 _+ @2 R
let max-wealth max [wealth] of turtles6 R" r( w* G- Y/ X4 {) [7 `
let min-wealth min [wealth] of turtles( \& Q4 [0 v0 X: K# j  `; G
if (wealth <= max-wealth / 3)
# u4 {1 s' B, h- ]  E [set wealth  wealth + Low-income-protection ]! f  ]5 ?' c3 v9 k
end( ]7 W' o6 O3 j
         
( k( u# c% z  C4 h$ @* bto recolor-turtles2 i5 P2 r3 y! h% ?% z! s8 g
  let max-wealth max [wealth] of turtles  H5 u6 B7 H# j* W- ?
  ask turtles
9 Q4 @% t2 |) @5 p5 J   [ ifelse (wealth <= max-wealth / 3)1 ~$ d* l9 w0 K! R% L
        [ set color red ]$ b9 P# j2 w3 B' ~
        [ ifelse (wealth <= (max-wealth * 2 / 3))
9 O" d: E6 ]+ z" z            [ set color yellow ]
" y5 W" ]5 L5 D- b" t- f5 x" k            [ set color green ] ] ]
" {6 e. t9 G6 M# g ask turtles [ifelse show-wealth?
- Z2 F( D; s9 p" c/ T$ ^    [ set label wealth ]
1 L8 {( {& R; ^    [ set label "" ]]
0 L5 N! E4 R( {" C# send! y( _! h$ C3 T' Q( a7 |
, {3 ?7 `' V1 P# ]
to go
3 }0 b0 u6 E( Y  ask turtles
0 e' H3 J6 s4 p  Y    [ turn-towards-grain ]  
) K8 [- J; X5 s8 ^1 z9 j+ j; y+ Z  harvest
: w8 K( Y. c) S( j  ask turtles
8 y6 H7 P8 F) G+ G    [ move-eat-age-die ]
- j% F! A+ l) P' V# Q& b" t1 ^  recolor-turtles
: p, _3 l9 d+ i& P' }# E" N  if ticks mod grain-growth-interval = 0
5 q: b/ Z* f- W# i  q$ _    [ ask patches [ grow-grain ] ]& d% ?8 y3 L+ P. n4 A& p1 r
     y+ d& Q) _/ _: ~! ^
  if ticks mod 11 = 0, P3 E& K; ~- ]  _
  [ask turtles: F& F" z' ?! K- n" K
  [ redistribution ]]/ _5 `& t+ n2 Q+ L
  if ticks mod 5 = 02 T0 R! K3 d0 X
   [ask turtles
/ b* b: j* J; ~  [ visions ]]
( p) w0 T& ]9 v5 Q  tick4 g# u( E' O6 D. t
  update-plots$ ?) p# Q+ a' k2 ~
end7 v" S9 k* }9 h) p
to visions
& n, n5 [" k$ _6 n set vision vision + 1
7 I7 {$ h" U7 fend
8 g* G9 b  d1 y0 a' h
4 [2 O  W6 [& `, I% y: x6 ~0 _5 z* h8 d4 y

9 Y& R2 u7 t) S; y- J8 yto turn-towards-grain  
3 c9 T( I9 b# a6 I6 X  set heading 00 X- i% e& t( P8 m) ]0 W  O
  let best-direction 0
  t+ |# B1 _" K* w" j2 o1 P. {# a+ Y! b  let best-amount grain-ahead# ^' f  R! U2 M; Z% }. a' V, z1 T
  set heading 90+ j) Q8 a7 S  j+ H6 H
  if (grain-ahead > best-amount)
& ]6 D+ D: d2 O8 [    [ set best-direction 900 b0 o: J& V7 x$ Z
      set best-amount grain-ahead ]7 [( }4 s  U9 B: g# R8 Q% l; J% q
  set heading 180
- H" @' `3 p- n- u' |$ Q# T$ u- _  if (grain-ahead > best-amount)8 [& C: \* Q/ _, e
    [ set best-direction 1803 v$ d, f& w. y9 ^, O0 n
      set best-amount grain-ahead ]
: \* g" W) M' y2 }' x! P! Q  set heading 270
# v6 J4 A2 L2 p7 J) J3 z  if (grain-ahead > best-amount)! f9 j4 }& l" D  ?- r) H' y
    [ set best-direction 270/ N, S% P) P  W, l. l
      set best-amount grain-ahead ]
' o  ], T( O5 n+ m, L8 w  set heading best-direction
# h  \8 p1 K+ v* E1 wend
0 d% t  [5 U. U3 I) ^+ F/ K4 V" L: Z

1 H2 K% {0 c' m9 e) Q  M- sto-report grain-ahead  
! o! |9 Q7 t/ L" z; U3 A4 N& ~  let total 0
  ~+ U" L! s7 |& G6 ~. D2 T  let how-far 1$ G4 q3 l  ?) p. A8 s& p. f& k9 a
  repeat vision5 B! @; p/ U1 a+ }( V. O
    [ set total total + [grain-here] of patch-ahead how-far' \! P6 x/ ]' {4 L' u* s* s  \
      set how-far how-far + 1 ]; o: ~/ D; x1 [1 j4 F9 I$ s
  report total/ _" f" E4 T; |( G3 [1 C) H
end( l+ a# ]( M; d- E
1 c' e* F% ^) w/ G, |  Z9 m
to grow-grain $ M% U, p+ o& }  s0 `% K
  if (grain-here < max-grain-here)
8 [+ d! ^. f: d- r: A( H' A    [ set grain-here grain-here + num-grain-grown
$ [2 W' S7 f: q# I( m4 z      if (grain-here > max-grain-here) ( i3 [4 f. [9 g) ^
        [ set grain-here max-grain-here ]; ~7 Y$ ~/ z! c- y! [
      recolor-patch ]9 R1 V% j; b6 R- N5 j) a
end
& ]% L/ ?" W7 J8 A* H* l! Mto harvest* q5 E" R5 G9 b/ z) [
  ask turtles
1 p; B5 F: O6 w2 e% Q3 x    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
4 I% F# j6 x% c3 i' U2 o  ask turtles
# A9 j9 c& ~  w0 I+ K  w% Z/ F    [ set grain-here 0! k2 Q2 c3 e  b0 E, l7 j
      recolor-patch ]# H) o/ T# D6 h
  
8 g9 B) C3 w9 |' p! @1 g! Nend
- l* ?2 w) r4 `) ^) d; d  y! K) T1 H4 R) d
to move-eat-age-die  
# W3 v( Y( T& q# M. ~7 S  fd 1
/ V5 o& A, h* U/ ~0 N' c  set wealth (wealth - metabolism); S5 e4 l3 `, b5 x
    set age (age + 1)
  n! X- M2 ^3 S. N/ ~  if (age >= life-expectancy)
' O: @- E, ^1 s6 j6 J& c3 t: J    [ set-initial-turtle-vars-age ]
8 T7 b% O/ I$ Z# @% D1 u  if (wealth < 0)
4 w2 j+ ^; Q' C5 u- Z; H    [ set-initial-turtle-vars-wealth ]
$ C( |8 j4 l& M) ?5 ]    ) o4 q0 l5 L0 Y5 {2 @  Z$ ~7 l9 t
end3 E% f' m1 W3 b. m4 G& u" G) Y( @; \' v

2 o( d6 G5 e2 t3 N3 `. R6 X1 J3 Q, J( ~7 F$ f, k/ t
to setup-plots
, s( U0 z! H8 c; }5 n  set-current-plot "Class Plot"
- A" n  t: }5 R( C- d  set-plot-y-range 0 num-people6 t! n( n/ P/ i- J
  set-current-plot "Class Histogram"
  M2 C  f0 ~( ?! I8 N5 Q. ^( z  set-plot-y-range 0 num-people4 j: Y( O* r+ B- S3 q* F
end" ?6 {8 W+ d' I
. w9 G& M6 a& V) j2 s5 \
to update-plots& M8 F  V$ @. S2 c1 ^
  update-class-plot' C5 E+ i) K% {6 F& Y8 E
  update-class-histogram1 N. b8 w8 C8 b% \- s4 p
  update-lorenz-and-gini-plots( d+ n7 b% x6 ^* B
end8 X$ e4 y$ ~- W  u- b0 }

! c) n1 F4 d- I# H5 ?2 Y; S. D/ F9 lto update-class-plot& [$ m5 Z" U4 g, v' n' `
  set-current-plot "Class Plot"5 t+ ]6 y0 k8 G# [1 i
  set-current-plot-pen "low"
3 X  R( V- @# L) n5 C  plot count turtles with [color = red]
4 b0 R/ u% {( {# D  a  set-current-plot-pen "mid"
3 X' H: O' F6 Q( \5 t- C/ I# Y  plot count turtles with [color = yellow], K# v. ~4 O0 g2 `, |
  set-current-plot-pen "up"( S( |7 b1 T! K$ j. H
  plot count turtles with [color = green]6 T1 k, `3 r- h0 Z0 ~
end
" N& L# i. ?$ H; x. v: }
9 S) `  q6 i7 g: Ito update-class-histogram
% K7 s) Y/ _3 M$ N  set-current-plot "Class Histogram"
( a2 W& Z$ Y" F. A* }  plot-pen-reset
$ _# N8 E7 E6 p0 E  ]4 J  set-plot-pen-color red
$ E7 @9 K) }: z( x* I  plot count turtles with [color = red]
' n6 n  v$ A( `9 ^  D6 T2 `  set-plot-pen-color yellow
$ X( }6 T1 f/ n$ h/ H& y2 D" ~  plot count turtles with [color = yellow]
% C. I8 b: n% A3 y& |  set-plot-pen-color green
  }+ ?% j( y3 y* T$ k' P- J: X5 R  plot count turtles with [color = green]
4 D( u8 ~: }$ s. I. {end2 b& `4 m0 }; s' g$ n) J; ?1 s
to update-lorenz-and-gini-plots' ]8 B: ]) f2 p; j4 ~2 R6 `* A
  set-current-plot "Lorenz Curve"
  B0 q4 ~0 t" m& m: u+ e7 B  clear-plot
7 q- F7 W. L, e1 U
  O5 l0 G; B5 K$ Q1 I9 u: u5 P  set-current-plot-pen "equal"
. v7 f2 }* @1 s$ _+ j  b  plot 0! a5 u3 t- O1 b0 ~! }2 Y% W
  plot 1004 P/ z) b4 z% ~
* s/ {! V* ]  l1 z
  set-current-plot-pen "lorenz"% A% v  H. t6 O2 M7 ?
  set-plot-pen-interval 100 / num-people" e8 o, I* b( S2 [. C1 ?. a: `
  plot 0
+ c+ J5 s! V0 \1 R9 E1 g0 D6 k2 i4 a# V$ d) }8 z4 t2 ~* ^
  let sorted-wealths sort [wealth] of turtles
7 p4 R# x1 r$ J  let total-wealth sum sorted-wealths  Q/ @) }! z, o$ @$ |; |& R
  let wealth-sum-so-far 0
3 S( m) I1 I6 d  let index 0% Z7 W5 A* t' h; L
  let gini-index-reserve 03 o& c) R$ X! U; ^
% _2 A8 f) F9 ?7 i1 ?: S1 k4 i
  repeat num-people [5 V0 \4 H1 n* K) G
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
: Q" U5 _9 v* O: P% v    plot (wealth-sum-so-far / total-wealth) * 1000 j1 W9 ?- {4 d) J
    set index (index + 1)
% I7 \. a: s- ^( _    set gini-index-reserve& ~: A2 u. _; W" j
      gini-index-reserve +" j6 H, r- @8 G1 L: @' ^9 B
      (index / num-people) -
$ t: r' M& O- t3 p' X0 L3 b      (wealth-sum-so-far / total-wealth)
0 c1 ^/ `# m" c8 A  ]) r( T3 q, ^% x1 d# F& R
8 ^6 g9 K5 @2 A
  set-current-plot "Gini-Index v. Time"
* o: E1 ?7 z8 n7 r  plot (gini-index-reserve / num-people) / area-of-equality-triangle! q0 W# g! y5 q7 N) j( C  V
end
% `9 K) N, |* {4 b  |1 qto-report area-of-equality-triangle
4 C# V, `6 A5 Q. Y! v  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
- b+ q5 J7 X" V2 s6 Qend
 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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