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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# {: ~7 b. G9 C0 d# V) [& t
globals& I* S/ t2 P+ Y. o* R1 n
[, O7 r8 _2 j& P5 T" q$ n/ ]
  max-grain    . m# W4 r6 E5 P# q
% c# v2 @1 }, f  S& `4 o4 f
], M4 j0 `  k+ ]0 V: K/ w- ]0 Q1 M2 R) L

. ~$ T/ Y- A$ }patches-own# {& ?" I! x' E" T
[4 N- r) e" ~4 v* y; y2 R) W$ W
  grain-here      ) F8 P/ j7 T% I
  max-grain-here  
& y# Z# d0 t$ w/ X3 ]]
. P/ s/ y' [  c: _2 O  O& ~$ g$ C) Y- a! R
turtles-own
+ X# D+ ^) C6 y7 V5 Z' T[& V3 E2 u. L9 }
  age              
8 i* ], X5 n% \  wealth         3 l/ R8 U; W  f# c9 H; u
  life-expectancy  
  h/ g5 d- W3 h, u/ K$ ], t  metabolism       " h3 H0 o) t1 R$ u( s! k8 M
  vision
# p7 D# u/ X7 s8 Y/ h; _( g0 ?  inherited         
* F* L: v4 @$ m]6 ?; I" @  f, ]2 b; Q! I6 y
3 W4 d( B% x* B

! t. ^3 c: N. @2 g  T+ H4 f, N" {to setup
( F$ A# _% Z. t4 l" _& N  ca# F) m) @) U, ?! J3 _
  set max-grain 50
9 r  x8 n( ]9 c. n& t- }! e: E  setup-patches% B& l$ d. c( L) ?/ S. r  O  f
  setup-turtles
) L7 c- A. B+ Q8 y$ p, I. x  setup-plots
9 Y9 Y/ M5 S" G# J  update-plots
6 c2 z3 \# J& O& C! U$ Xend, r. A* ^: I" C) g2 J9 k" `$ n
to setup-patches
7 n* U$ [. I) U" ^+ V+ p  ask patches
- I" Z+ r" V$ ^" i) s3 b    [ set max-grain-here 01 m/ c6 S- |$ K+ X) W4 |$ N% a& ^) D/ N
      if (random-float 100.0) <= percent-best-land
# @2 Q' M( r/ u' U4 d        [ set max-grain-here max-grain5 W( V! S) C/ c+ p* H5 X1 l2 z" y; O1 q
          set grain-here max-grain-here ] ]
5 F: e, b9 r& ^# p3 t  repeat 5
. q2 I* c; y/ D/ D' l, s5 f    [ ask patches with [max-grain-here != 0]
  a. N1 E" Z& a, z        [ set grain-here max-grain-here ]1 S1 M, k. A+ x% ?5 M
      diffuse grain-here 0.5 ]$ E6 o& M$ R4 i; a( f0 n" _
  repeat 10/ n9 R3 {# a7 e
    [ diffuse grain-here 0.5]         
; W/ x0 g7 `, S, l' g- B/ x  ask patches
/ X  f: ^. u& T( P$ K    [ set grain-here floor grain-here    ) k- c7 C8 K( s/ f1 o
      set max-grain-here grain-here      
5 T" ]1 b- O& ?  p- l      recolor-patch ]) a3 L4 e7 w* ?7 |
end$ P; N" N3 E7 `) v
to recolor-patch  
# X9 ]8 x5 E8 j% m3 Q7 S: I  set pcolor scale-color sky grain-here 0 max-grain/ D; `3 p1 B0 b1 n- t. `
end
6 _& x3 u# j4 j: C; {2 W' W) z7 Nto setup-turtles
2 _5 J5 _& w8 c) f& i* v4 x  set-default-shape turtles "person"8 E5 v( m$ D5 s( f
  crt num-people7 Q0 z! ?; _2 s- v0 a1 c
    [ move-to one-of patches  
2 u- n9 D" ?' C4 v* f$ O* D; `      set size 1.5  2 \1 k2 L( f8 W7 _! L  n
      set-initial-turtle-vars-age9 b2 B: D8 J& D! U2 Q
      set-initial-turtle-vars-wealth2 M' Y- `; W" O# @5 m  X
      set age random life-expectancy ]
* ~+ ?2 R3 @, I  recolor-turtles$ W- F2 Y: B. ]! |. l
end
1 V0 |: A) H; T; g; R( b
. r8 u. p. Y/ x$ X3 F# Nto set-initial-turtle-vars-age
9 {3 G. q6 K2 g- H: a; ?/ b5 v let max-wealth max [wealth] of turtles
1 N4 S9 N0 r1 \' Z  g   
+ \3 N# |, B) ]4 y     ifelse (wealth <= max-wealth / 3)
$ v. a# P3 i( v" }1 ?6 T: b9 Y        [ set color red
8 Z8 ]% }, _4 y8 b( ?          set age 0
6 R, Y& O. n$ l+ J  J, [# `! n" G          face one-of neighbors4 # W* z3 L) I  x3 f- W7 o2 H
          set life-expectancy life-expectancy-min +
; O& L; `4 n/ C" G4 Y6 ~                        random life-expectancy-max , a3 I  m, ^, i5 \3 l$ I0 x+ q
          set metabolism random 1 + metabolism-low
' p1 Q  _( U/ e' ^; |( n) L          set wealth metabolism + random 30
  H% k) t/ B. [) H          set vision 1 + random max-vision8 v7 c6 v) K; X7 O6 Z  u% {
             set wealth  wealth +  Wealth-inherited-low ]
9 N1 C' j% a0 q8 T        [ ifelse (wealth <= (max-wealth * 2 / 3))  }' I! ?1 K1 w% ?
            [ set color yellow 8 i9 E* z1 O  ^$ b# F
              set age 0# v: @" b( N* s$ @
              face one-of neighbors4
" ]- R" e4 v; C6 |  u/ R1 ^5 e              set life-expectancy life-expectancy-min +- k2 Y1 x$ O, p. `8 O
                        random life-expectancy-max + 12 C: t' G1 h1 U+ Y% }
              set metabolism  1 + random metabolism-mid7 |" b" _9 h" v% E' c
              set wealth metabolism + random 30
6 `. C: S: \& R" p1 i! P              set vision 3 + random max-vision
  x  F; m, X1 P$ t7 o                set wealth  wealth + Wealth-inherited-mid]# D. t! ^4 `6 c1 m4 k; H4 W& @* P* L
            [ set color green / b( y1 J* a8 d% |. v
              set age 0# Q5 L$ @* }9 i' T- p: [
              face one-of neighbors4 " y# Z% d( u) _! l
              set life-expectancy life-expectancy-min +' R" X+ v1 A! q( e$ `
                        random life-expectancy-max  + 2
! u0 s* _- k" t8 [* H              set metabolism 2 + random metabolism-up; ~7 D2 K# z0 K+ m' s  P9 T2 H
              set wealth metabolism + random 30# V+ b0 l# g1 Z! K" z- k$ K
              set vision 3 + random max-vision
% L3 B# K. u+ Q& I- d0 T+ ^1 [              set wealth  wealth + Wealth-inherited-up ] ] * Y3 `7 `  m0 i* D6 {: Z2 c

! G% e* Q3 _4 m7 C0 ^end
% W9 M9 s0 Q* t- R5 X, W. y( oto set-initial-turtle-vars-wealth
" K* f3 S$ g: {+ _ let max-wealth max [wealth] of turtles
1 e- _: [8 V+ Y% J9 s. m9 m          set age 0
. `8 C/ h3 e6 D2 e, o1 y          face one-of neighbors4
7 Q7 J5 d4 M3 T* \          set life-expectancy life-expectancy-min +' f) X! }7 ]. s, A) G0 [* f
                        random life-expectancy-max 0 d/ p1 e$ s- w
          set metabolism 1 + random metabolism-up; e' q1 @/ |: N, Q
          set wealth metabolism + random 30
, K8 s$ q$ F) K- M9 J3 [5 S          set vision 1 + random max-vision
, b* y8 t! `0 O! F4 }, A  O1 x1 Tend
: I" f! E8 V+ W7 L& z# Xto redistribution
' D( s+ c; R. T7 u. a# Glet max-wealth max [wealth] of turtles
6 X) a$ O. T4 e# W" plet min-wealth min [wealth] of turtles
# n# V. T% R  b0 lif (wealth <= max-wealth / 3)
6 A7 A% p, E" o2 ~& n* H [set wealth  wealth + Low-income-protection ]
) J$ X- J4 j) S& {. g1 C3 Nend
+ O0 M. F- z5 f* }+ y3 g          * ?; ^& m) I6 T; @8 E1 x5 L
to recolor-turtles' i) H1 n" C- [0 l" k* O' e" `6 v
  let max-wealth max [wealth] of turtles
: W% C! _4 H( l  ask turtles
+ {# g) q( ?# v   [ ifelse (wealth <= max-wealth / 3)9 z! e5 @$ H4 ~( U$ V8 L+ r
        [ set color red ]
" O) _- r( X9 n( |        [ ifelse (wealth <= (max-wealth * 2 / 3))% i# x: h; a! b  ^" C
            [ set color yellow ]
4 |( Q' l( H9 Q' m- z$ q; N            [ set color green ] ] ]
: k' h1 d7 m# l* S ask turtles [ifelse show-wealth?
# v3 Q; S1 E$ U: {1 I    [ set label wealth ]
: y6 e; O5 I! @9 w    [ set label "" ]]
5 W; H; o0 l# e/ x, o3 Pend9 H2 I5 g3 P4 Q! y& w

, d6 H; T2 d- {1 Qto go1 K1 T0 c7 r+ {' S- }+ N
  ask turtles
* o$ v1 W- E# v" a9 F4 M. L4 K7 b% F) \    [ turn-towards-grain ]  / z7 e; a  W, b: y: t4 Z' ~
  harvest
- [6 {* c0 c; v3 ~/ y  ask turtles
' a4 }; u. G" N- c7 m/ ]/ D% }    [ move-eat-age-die ]. a* o5 Z, a1 M; i6 a
  recolor-turtles
! g4 m$ L3 I3 M) l  if ticks mod grain-growth-interval = 0
0 P2 [8 N2 b" o) d  Q    [ ask patches [ grow-grain ] ]
$ y+ _$ y% ?# W# G7 K& o   
; F- g9 t/ n7 w& y, P! f  if ticks mod 11 = 0+ A* ]7 c. ^% j+ p' D
  [ask turtles
% a6 w8 {7 d* q6 Z& |' D5 |' E3 B* x  [ redistribution ]]
% j& E, P2 F: M- t+ c  x$ ]) h  if ticks mod 5 = 0
5 E( h8 i! V/ x. ^1 @3 h   [ask turtles3 J1 |! c" f  x* m6 Y
  [ visions ]]
% \; G+ w0 Y6 `+ H* y  U( z5 {  tick
/ a( j- v# C2 A# i1 E9 n# Y# m! z  update-plots  v. D* @9 d6 `
end4 O# w5 Q4 ^, a: @' v8 ^2 x* Q
to visions
0 X/ P( p2 y1 S, z$ L1 P: p( A! P set vision vision + 1 - G6 w' z3 X2 a1 q* I- O, V/ }
end
% _' t+ [3 z4 \4 K- J8 G8 q- H6 [! ?& p& I2 t/ `) q

1 e- b- y, p0 _% j7 H; r, Z" l, @8 ]
to turn-towards-grain  + N8 D5 m9 o/ ~1 p: e& X
  set heading 0
# z1 \; Y( H4 J1 O/ Q4 z! t  let best-direction 05 i' ?+ a0 P6 U/ y8 Z% F
  let best-amount grain-ahead' M3 L; l- d5 D1 _  Y
  set heading 90
4 z: {- x. w1 ?, B  if (grain-ahead > best-amount)" N; q* x% n/ I. T
    [ set best-direction 90
+ A( B" h8 \: X, f- e2 N      set best-amount grain-ahead ]6 T$ v5 g4 Z% V' F" n8 I4 X- B+ i3 T' }
  set heading 180
8 N4 Z, E' i7 a! z; H  if (grain-ahead > best-amount)/ L& P( {: }' t4 I' n" t, [# x
    [ set best-direction 180
9 I! s6 l8 Z5 Q7 S$ W1 e      set best-amount grain-ahead ]4 T+ a6 P8 j' g( j
  set heading 270
  \# a- K, P% l  \3 n% [  if (grain-ahead > best-amount)
! L8 _! |4 k* {- G0 w) q7 o3 \, l/ H6 }    [ set best-direction 2700 [/ b" S% t: @
      set best-amount grain-ahead ]% c: F8 e: z# ]( N' ]
  set heading best-direction
  e8 H- e! R! aend
% Y$ t, o, s+ z  ^) @
5 m" C. _# }* G: p/ g1 L* s% ^  P8 ~, B9 c
to-report grain-ahead  ( C1 T5 n8 F5 |( e
  let total 0
4 k& [0 j6 O1 J  let how-far 1
. J: S! y( S, s$ b; a+ S: K3 E  repeat vision
/ e" y4 @  C' h) l! S1 x    [ set total total + [grain-here] of patch-ahead how-far
, |8 [# T- f' q      set how-far how-far + 1 ]1 N7 a: ^8 p& @* q. m
  report total; g% o* J+ P; N% u  ~
end
* j* a+ f4 Q* V  z0 |+ T, M
9 J3 Q' W. d" d, \3 A3 P# Qto grow-grain ; {' i& @. x* D% g
  if (grain-here < max-grain-here)
+ r! P, o0 b& h( K' T! U    [ set grain-here grain-here + num-grain-grown
3 {# y# g: N) @. z# d6 s( t      if (grain-here > max-grain-here)
. z' g- y; L5 \        [ set grain-here max-grain-here ]
7 P7 w6 g1 Z  g& K+ D- w      recolor-patch ]
* s; a9 O1 T& ]; M- {2 B, ^& _& [end
9 v. p8 S+ |! zto harvest( G4 i- l6 B0 U; x3 K- f5 _
  ask turtles6 o  R4 V5 L3 _0 {2 E0 J
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]; G8 m; u8 Z+ ?; s! j
  ask turtles, P  E- _, z1 }8 E4 W
    [ set grain-here 06 b2 @7 z" a4 F2 _/ Y# d& `
      recolor-patch ]
6 e  T* q6 p) J1 A- ^& ?  ]& K  4 M7 y8 Q. U; X8 ^
end
. h, }; v) C( j, E+ l$ H  @* T( |4 q( N
to move-eat-age-die  
+ I9 b8 K  l9 A: p5 Z: a* [  fd 1
1 m# b9 Z/ q, ?7 O, G  set wealth (wealth - metabolism)3 }1 a8 X" N% H/ w, T9 c
    set age (age + 1)
, y7 E- k! _" U2 v* \' E  if (age >= life-expectancy)
$ T( W- j* S' U/ Z) f1 p' j    [ set-initial-turtle-vars-age ]2 N- i8 w# e9 ?# q
  if (wealth < 0)( W* }4 L6 y/ F; X. L
    [ set-initial-turtle-vars-wealth ]0 D# p( e: i/ F- m" d( X( P, b" |
   
8 l* S6 ]! R( a6 t0 t  {' S1 d- A3 gend
$ Y! j! ^6 _7 M; i' N3 v& P4 W/ a& P* N5 i: {

( F# r" U; S' v8 a  Cto setup-plots
! y9 Z  M' j9 R' ^  set-current-plot "Class Plot": O  h9 e  |+ G: A
  set-plot-y-range 0 num-people3 J( t% E: n$ Q& }4 M
  set-current-plot "Class Histogram"4 q; B- l4 t0 U/ ^: W/ N
  set-plot-y-range 0 num-people7 D( r5 c- ?% g( ]
end6 N$ I% H8 C  F3 u* R& U6 x( G" Y2 Z

3 p0 M  d4 a  q: ?% [( jto update-plots9 S7 K0 V4 \9 x
  update-class-plot
$ s0 [# o. m; E  P& s& \  update-class-histogram
8 C' K" \" b% I, Y  update-lorenz-and-gini-plots* P. ?$ q% S- [/ v
end
0 q8 \* _  }1 v# K8 G# C1 n! K: K+ h
to update-class-plot! X8 x" L; u( H( {' E
  set-current-plot "Class Plot"& F: j$ n- k; ]5 c# }2 K* x( W+ W
  set-current-plot-pen "low"7 B3 c. A/ X2 _" I
  plot count turtles with [color = red]  u6 H0 o+ z( Q8 Z& a
  set-current-plot-pen "mid"
; i4 |  X& U1 ], i8 Z8 y# Q  plot count turtles with [color = yellow]
) [) @, r: n8 K2 U7 Z  set-current-plot-pen "up"
) ?- W/ A8 b+ ~3 z: H  plot count turtles with [color = green]! L8 c" W% A, X
end& w& e. B/ C4 d, i4 y0 f

: y/ q/ {9 A2 O( w: x: M' w: dto update-class-histogram
, _, ^3 _1 f( S& |  set-current-plot "Class Histogram"& j, ~2 l5 N8 n, Y, H. r
  plot-pen-reset
/ t1 X, N% P( F" L, u7 @& T3 i  set-plot-pen-color red
, R/ D! r3 d- ]7 K: @; y$ G  plot count turtles with [color = red]* l: H/ D/ e3 w' O+ J5 I3 F% `
  set-plot-pen-color yellow
7 A$ t5 R+ d( }/ E  plot count turtles with [color = yellow]) p: J2 {' R- x* k( V
  set-plot-pen-color green
8 h4 m" @3 k( m, u/ g+ K8 {8 I  plot count turtles with [color = green]1 X4 n" U' {/ m- Q8 _+ S% i
end& |4 y/ P& d7 l4 b. M
to update-lorenz-and-gini-plots4 C, y7 b5 o2 I. `
  set-current-plot "Lorenz Curve"
- e# O" m3 ?. O  clear-plot
. G4 u+ x3 l5 r4 I  f; G$ Q5 \" J4 s+ x/ ^
  set-current-plot-pen "equal"* |  \% ]4 n7 ^1 o; f) T
  plot 0: O% M- J: |8 u
  plot 100& E$ I! \8 q: O$ |( ]
' a* H( l& J/ G2 z
  set-current-plot-pen "lorenz", b; e, k! ]) ?
  set-plot-pen-interval 100 / num-people
) O- f4 q+ g$ \  `: {! l  plot 0  Z) z  `" ^; Y$ l8 V( d
5 j! a8 U1 F3 C4 Y7 r3 e5 G
  let sorted-wealths sort [wealth] of turtles
4 X1 w* R6 J* T  J5 ?, a3 \. c8 z  let total-wealth sum sorted-wealths' |& r7 Z& {1 I( W& j3 {; j
  let wealth-sum-so-far 0
5 b3 r8 P  k4 E8 ^( _# v  e  let index 0
: A5 l) ~  H; d' A  let gini-index-reserve 0  @0 Q  r  Q  N1 x9 d5 x& t. `
7 G; v, e2 f7 D
  repeat num-people [3 s3 Y% d' w# c' h: A
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- H- \- a& V) H1 Z. E    plot (wealth-sum-so-far / total-wealth) * 100
' o6 e8 D7 A' f    set index (index + 1), G9 f; V1 Z* |+ ^. D
    set gini-index-reserve
  P, Y9 {3 ]5 z, `2 T5 T' u# h: u6 {      gini-index-reserve +
8 H4 D. Y6 {  }      (index / num-people) -
- P7 C, u  L- ~- ?: A* c      (wealth-sum-so-far / total-wealth)- w" W1 Q- U6 e- i8 p0 p
  ]  G& F+ \; e1 ~+ J
2 z2 w. j; z2 }3 a
  set-current-plot "Gini-Index v. Time"/ s  {! ~8 }5 W! i2 C. k
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
7 g! Y* ]% I" L- J0 F" W" yend  Q* B( b* E, J& }
to-report area-of-equality-triangle
: U" S' t* y$ y9 e- I. {  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. Q+ |5 s: }5 [( v1 ~& r2 @5 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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