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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
; z' |  K0 L$ v# Yglobals
; w/ U* B$ s+ [' O+ k& f3 l5 z[3 S1 A- U. ]7 A3 j: g& Q
  max-grain    ( b3 o, C7 |$ w& Z0 D6 t( K

) l7 T& E+ O! E2 h]
2 b+ T$ K7 h* m1 |  Q' Y% C' J( \# m% H1 w. U# |$ ^
patches-own
8 f! E" W5 W* y) H3 X# J$ N1 |[
5 A" k( z6 N* w% [/ Q6 G+ Y  grain-here      
, T: g4 O& T" v! {9 ?; P  max-grain-here  
  @% S$ V. d* x]
- D! ~9 V6 D; j+ d/ u0 x# O$ T) Y( H: `2 B" s  x
turtles-own
' b7 t+ V$ E7 \$ _: E( Z[
. g/ w& g4 m' u7 d* b  age              * \. Q! v) {  T
  wealth         
; w0 c- m, }( P% ?* z/ g8 z  life-expectancy  : x" w0 o* W* P, R+ \* a9 z" E- F
  metabolism      
1 N  {; y' S- B' X: U. \3 a  vision
& m" c6 E7 l( V$ b  inherited         
, t0 t$ ?. L2 l+ B7 C7 H6 X]
; P3 H8 ], Q, h; ^$ v. D/ j  ]) ~8 c. ~. U  t6 v6 i: _5 ~+ L
" f8 v9 L6 T: k5 W+ W9 s
to setup
" n2 u' x+ G  l+ v2 ]6 l  ca3 }: `$ O' j, q! G/ g4 g% c  ]
  set max-grain 506 Z. P( r3 T# n! M6 ~" ]- m
  setup-patches
4 T% y  L) C  |% d3 y8 m4 ^; n  setup-turtles2 o2 u0 s! z; o# a3 _6 n
  setup-plots
$ {" L2 }# b( h8 ]- O1 W  update-plots7 n+ o) H' s: y& C( w9 z
end7 C& h+ J3 \' C9 t% t) K: M" @
to setup-patches  U+ [  _2 Q7 z: W; l7 U& l! ?& Y
  ask patches6 O' h% B" a% W
    [ set max-grain-here 0
* ^# p: z0 O1 @1 Q. I7 n      if (random-float 100.0) <= percent-best-land/ E/ @1 {0 F* C4 N* d0 C- I
        [ set max-grain-here max-grain
8 D8 y- O" P' U' K! N8 d          set grain-here max-grain-here ] ]
2 t- ]5 \3 @: b6 @# q$ P% ?+ C  repeat 5" c) j, O& Y+ m3 [! v) W% S: `
    [ ask patches with [max-grain-here != 0]
6 c/ H) Z" E0 G        [ set grain-here max-grain-here ]; v/ Y8 g' J6 ~
      diffuse grain-here 0.5 ]
3 K8 X$ o% `: z( v  repeat 10
- f3 ~* \: C2 l3 V6 `5 T: r1 q    [ diffuse grain-here 0.5]          ' h; |9 F7 j( |3 G% p
  ask patches
" o' O/ `0 x' p7 Q7 ]  T* w/ F. X$ M    [ set grain-here floor grain-here   
+ V* p2 l5 r! \5 T4 M      set max-grain-here grain-here      # [2 w" ^" E; H$ f7 A( _
      recolor-patch ]) z9 o/ Y7 D* \# b9 X7 H9 `% S
end
" B$ z) H! ?/ E# O! l: h0 @: g7 ^to recolor-patch  ; ~6 ~4 l# Q- E2 W) M7 n6 F
  set pcolor scale-color sky grain-here 0 max-grain
# ]' s% t* D/ M" D: }, cend- A7 p9 u' z& y; z+ B9 E/ h* u& V( \
to setup-turtles% f2 L& M& @5 _/ E7 i. j+ S  e
  set-default-shape turtles "person"
- Q  g) Y- m" v) u0 B5 g  crt num-people& q: v- z  p- b; A. f4 R1 p
    [ move-to one-of patches  9 ~' Y$ e* ]0 C: }0 Q
      set size 1.5  
! r: L; c3 x4 S( k+ v      set-initial-turtle-vars-age
) n, D! \# c" {) K+ Y. T      set-initial-turtle-vars-wealth+ K8 E/ e& q4 A0 _. o
      set age random life-expectancy ]" Z  ~9 s# Q* D9 m% t0 V
  recolor-turtles! U2 t6 R! [1 ~6 x: X
end; z# q8 q) D2 \" M4 T
: C  \5 L6 V4 _6 M- h9 y6 N& x
to set-initial-turtle-vars-age
% c# r7 K. K- b9 t2 J let max-wealth max [wealth] of turtles3 j8 C% R2 O6 `0 \+ \" ^  b
    ' Q, H2 ]7 ]; f" l  E
     ifelse (wealth <= max-wealth / 3)4 B3 H- ?5 m& w- F
        [ set color red / u* C9 l0 U& {6 a. f3 u5 w/ R
          set age 04 u/ N, O! f2 ^( a& Q# O1 T
          face one-of neighbors4
. n9 X# s3 W  t/ g          set life-expectancy life-expectancy-min +9 @8 C& U! z* |- A; @+ W  F7 {
                        random life-expectancy-max
6 B7 d$ ~8 j% z8 _5 w          set metabolism random 1 + metabolism-low+ x! m, v2 U( r' v
          set wealth metabolism + random 30% r7 o+ n2 b8 M9 V* Y9 O% |
          set vision 1 + random max-vision  `' Q* w" ~4 v8 r* j
             set wealth  wealth +  Wealth-inherited-low ]
" q  I% o6 [( Z0 r! ]7 s        [ ifelse (wealth <= (max-wealth * 2 / 3))
3 K! `7 {: i2 G' S/ W7 h            [ set color yellow * @( u  T3 p6 V* Z, s, k
              set age 0
- @" t; D* R/ y; n              face one-of neighbors4 9 [! C# o" [4 H+ }& c. `- U
              set life-expectancy life-expectancy-min +9 a  ]- z, k* z$ j% m- l0 t* A
                        random life-expectancy-max + 10 b6 z% p$ T" S2 q. {
              set metabolism  1 + random metabolism-mid
4 `" p5 a  M& Q              set wealth metabolism + random 309 R  q9 M  A" q* d
              set vision 3 + random max-vision, g. `! h- J$ M  O" `+ c) g2 u
                set wealth  wealth + Wealth-inherited-mid]6 I& Q; D6 @, W- ?% f
            [ set color green ( m# y) `* w  L  e
              set age 0% h% b5 q$ @7 W/ F8 ^
              face one-of neighbors4
( a, Z: c4 M7 e8 ]. m! @& m( ]              set life-expectancy life-expectancy-min +1 ?  }" p9 Y! c1 b
                        random life-expectancy-max  + 2( v  s8 V1 p% H4 l9 |* X
              set metabolism 2 + random metabolism-up
) P. }+ f% v' r% t  ~              set wealth metabolism + random 30
! h% X, B' D' t! _' [              set vision 3 + random max-vision
0 E5 o$ s5 f  ^              set wealth  wealth + Wealth-inherited-up ] ]
2 }! H6 ~) r- `8 O8 O5 L7 T . Y; ^4 [7 L, g. M( o2 G
end( A9 I! S8 h, y- u8 N" s
to set-initial-turtle-vars-wealth
) M, T; Q  p0 L* M6 X& v) k let max-wealth max [wealth] of turtles
- N4 E' h' \2 K7 \          set age 0( k1 ]) \- [" y, `/ D
          face one-of neighbors4
( e; m1 [2 \& T% v8 u7 |5 U2 J# k          set life-expectancy life-expectancy-min +
9 d6 ]7 S" R8 r( d9 p0 J: ~; E8 b, o                        random life-expectancy-max $ s) m' I; F5 I3 [$ U8 @8 Y2 Q
          set metabolism 1 + random metabolism-up
3 `4 m5 q1 m( u0 z( O: _          set wealth metabolism + random 30
  Q, w+ t2 O6 i: G, H6 w0 R  b          set vision 1 + random max-vision , [& K2 M# E; f, ^; E
end. w: a- ]0 x6 a7 T3 h& |
to redistribution
1 U  I! l" O0 K, E. llet max-wealth max [wealth] of turtles! g- w' q" x; x6 ^8 O! v1 K
let min-wealth min [wealth] of turtles# W3 z6 ?' a: |; P! S
if (wealth <= max-wealth / 3)
  W- v7 c" Z1 e% I3 w# c) m) H [set wealth  wealth + Low-income-protection ]  ~; z& C# S' Q! ~# ?) E' G6 ~
end! G1 u: m4 n/ T+ C7 a, b6 }# s
         
7 T: G7 i* ~& ~5 Oto recolor-turtles
! U7 y% {1 X% d6 T4 m  let max-wealth max [wealth] of turtles
: r- t; k: U2 [* v! P1 F  ask turtles3 }- Z9 A) _& s1 ?& W5 F
   [ ifelse (wealth <= max-wealth / 3)
$ O* G6 G, [! {0 H& U* q5 e/ H1 q        [ set color red ]
1 e5 m, U# O* S1 W; p5 I        [ ifelse (wealth <= (max-wealth * 2 / 3))0 U' q7 F9 F; x3 E5 S5 A0 O
            [ set color yellow ]3 `- J; ]; O3 P" f
            [ set color green ] ] ]
7 I, t/ b/ y/ e' @% M ask turtles [ifelse show-wealth?2 E$ [' r% M" }  ]7 Q- N
    [ set label wealth ]  W7 X0 b! T8 [9 p
    [ set label "" ]]
7 ?' J- w2 [6 \5 [5 D6 Eend2 M: X' h& M4 f
7 a, J2 [* o$ d( ]
to go; U* p& {7 o/ d4 \' m+ H& V
  ask turtles4 }/ w* o) j" X* w
    [ turn-towards-grain ]  : |$ Q2 ]( y* n. {* k
  harvest/ O- X# V$ s4 |3 ^
  ask turtles
+ C& R  E7 j4 [/ w5 b. T- S1 n" @# H. i    [ move-eat-age-die ]' g" J2 o$ B- P! E5 R
  recolor-turtles
# n! v! H* b7 N- l- t2 D  if ticks mod grain-growth-interval = 0. r/ X  U$ t8 x7 A
    [ ask patches [ grow-grain ] ]
# o. P* ]# e( c8 {   . v3 [0 O+ i6 @! x2 k' R7 d
  if ticks mod 11 = 0* J0 ~- z; Z: i0 ?* M
  [ask turtles
' a; U: P$ O. j  [ redistribution ]]" v  \/ y) ?( J  o/ [8 e+ Z6 C
  if ticks mod 5 = 0! b* x& H# k6 a" u# B# k1 w1 s( _, I
   [ask turtles
9 {$ V' \) J8 h0 G0 `" \  [ visions ]]9 n9 L5 x! |! w0 i
  tick
' r1 P; V) d$ r3 ~" m4 d# Y1 _  update-plots% p$ U7 U- }( I2 w; T5 E
end+ Y" N) ]7 L) W
to visions
9 m4 I! |  ~3 N/ P* X% b6 @ set vision vision + 1 8 _8 o! @* U9 v
end' q7 @2 M# B4 b

! M8 O/ k+ B9 L. \+ C8 t# c' y. ~8 Y' e/ c( A& I3 T2 \0 V+ g) W

( R( Y; X/ _1 z; q& Xto turn-towards-grain  ) Z2 B3 }/ ?7 p! l- I
  set heading 0
! u9 C! r' I, X) a+ I  let best-direction 0# J8 l# B+ ^; X! o' ]" F
  let best-amount grain-ahead7 `7 k& D3 ^; Z. B
  set heading 90
9 T" h# V! G& V! I1 w  if (grain-ahead > best-amount)
0 X; Z  d9 _& r* ~    [ set best-direction 90+ t$ o% h: @/ }4 _1 c
      set best-amount grain-ahead ]2 u- s& E# Z) e2 k: D# P. v
  set heading 180
& A$ X% _1 I2 I1 \7 N8 u4 p" h" N8 v  if (grain-ahead > best-amount)
* E$ \: Q5 _, P: T' E    [ set best-direction 180( `0 o/ }4 @' s; f" h0 \
      set best-amount grain-ahead ]
3 T2 L2 l- w4 K  set heading 2708 n' _( l& }9 v) q
  if (grain-ahead > best-amount)
  M( ^. t  I7 ]" k( ]    [ set best-direction 270
; G# z* O$ i0 y$ f/ R4 e% ^# m      set best-amount grain-ahead ]
+ q/ w/ i& T5 i5 y0 c9 I  set heading best-direction
" u2 f/ c& f4 m- X- H! p, N6 v- Vend7 A& N- |% M8 Q# ?$ x; d0 |

3 c' K% {% b- W/ m% r$ w. G& ~1 v9 F& |  C) N
to-report grain-ahead  
7 F* e( L9 q" z, Q  let total 01 V7 y/ M* k: ?" r5 A; e
  let how-far 1
5 j8 t8 b  p3 D% K; I  repeat vision
* \/ F  [6 z, X7 U. i$ j    [ set total total + [grain-here] of patch-ahead how-far
! T% Q* e; G' n, {" J      set how-far how-far + 1 ]( }4 Z4 X4 F! V2 ^/ E
  report total
0 Z; c9 u# }4 H, N  wend9 z0 Q4 v0 F6 B0 A1 e" X! ^, j

, A( Z' O6 q$ `+ w3 rto grow-grain - k$ i+ T# P: `1 |1 J
  if (grain-here < max-grain-here). x# u0 E8 U2 ?; ~* l" h6 o
    [ set grain-here grain-here + num-grain-grown, q: `, @7 B) Q0 T4 i
      if (grain-here > max-grain-here) 6 _- V0 e) a! U" x0 y4 q0 a
        [ set grain-here max-grain-here ]
- C5 n9 X& `8 q6 L& d      recolor-patch ]
: O' U& T6 [* K; k/ a; {7 u$ Cend& {* T. [' e1 v/ ]: B
to harvest
+ f" H$ _$ }  F) P9 v  ask turtles
5 ]- m) W# H8 X- z$ @, O    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% b" M4 p/ H  b$ B; f
  ask turtles
! q* t8 q9 V' G7 [6 ?    [ set grain-here 0
2 z+ F# q- K% v( z* k      recolor-patch ]; I' S. m* y" ~( a7 P
  4 O2 o/ B7 x. K2 \6 W, r" g
end% d; i( B3 Z- q
& F+ A/ ]: E7 A* ]0 B0 c) P: x
to move-eat-age-die  4 X6 L- z; S' j  V/ x1 D8 ]
  fd 1
7 ~. b4 s/ [: Q6 M4 ?  set wealth (wealth - metabolism)
4 j- E& H! r( b1 x8 U    set age (age + 1)
9 i4 o5 L* a  T. F  H& |# h  if (age >= life-expectancy)
3 g5 s8 }8 \  \( v    [ set-initial-turtle-vars-age ]
5 C; M, _  H. Q9 j" u: D1 Q; u  if (wealth < 0)9 k# x0 g( V. H$ P- W! b
    [ set-initial-turtle-vars-wealth ]; G$ X0 k0 L; }0 ~; R5 k$ n
    ! j4 w/ w3 A1 C8 ^. n& C
end- g% F: W& {. Z8 s

) Z% l& y$ P# \  X4 ~2 H
! `; n+ e4 {$ H) {" F! ato setup-plots9 Z' `) P/ F/ i/ J/ }  P8 R4 b
  set-current-plot "Class Plot"  f1 `+ T1 b' M. N; J* ]& M8 H4 [
  set-plot-y-range 0 num-people, P4 n' K5 @: H, _6 t
  set-current-plot "Class Histogram"
2 y% e+ z4 L/ C& O5 C" S  set-plot-y-range 0 num-people
$ O+ P% B4 C. Q  `- Tend* }( x8 M$ ^+ p8 B' @: F- i) q7 {1 o
" @1 a7 J4 |" u) w2 R
to update-plots
! c/ y  [5 F- q, |1 Q  update-class-plot; R' r5 _8 H; c7 m) d
  update-class-histogram
% M! q- I( c0 e: R  update-lorenz-and-gini-plots  r; H/ E  D" B3 ~& d: T
end4 ~& s) F7 g+ @) m2 T* H8 r
& r. s# e0 `' C8 _+ [  F  t; _
to update-class-plot
# M( ?7 ]1 p& K( p, z* s4 J  i  set-current-plot "Class Plot", N- k8 ~7 K7 ~  m7 r& r; [% r
  set-current-plot-pen "low"
/ w  F6 P4 y6 N' o/ i; i( @8 Y" c  plot count turtles with [color = red]5 K( I4 a- x  h1 C
  set-current-plot-pen "mid"/ [5 P( |$ d6 @& j
  plot count turtles with [color = yellow]
( m5 e( m& ]3 A% z# p' W  set-current-plot-pen "up"( w: A% U* K$ Z8 Z
  plot count turtles with [color = green]
& u8 `. V1 W& S5 Y7 w7 K  \0 i; gend3 I- {3 D6 r$ O

* p1 I2 q0 W7 ?/ yto update-class-histogram$ u& f/ r( H6 \6 @% \
  set-current-plot "Class Histogram", |& X# h' N' i
  plot-pen-reset  Q7 G) [# R! L5 n# Z
  set-plot-pen-color red' i; I" i) l$ y$ z  K
  plot count turtles with [color = red]
% g' J( Q  i$ Q& L* u  t0 F  set-plot-pen-color yellow/ f2 I6 w6 \% L* e4 ]2 ]
  plot count turtles with [color = yellow]
  }" Y: @- }: f/ I  set-plot-pen-color green
. w! e. d2 A- Z% y' @3 Z  H  plot count turtles with [color = green]
9 ], R; l* }/ g4 e) \end
5 M4 M6 r8 q. f: sto update-lorenz-and-gini-plots4 \: J; x0 ]  S6 M- _' F% W4 u
  set-current-plot "Lorenz Curve"
$ M: Q( V8 _4 V8 U3 o5 {$ t; B3 x  clear-plot
4 o' I) U  w+ J$ H6 x# ~
& D- S% u" m( Y( t+ J4 Q5 R  set-current-plot-pen "equal"3 ~, t: L9 A0 k
  plot 0' @6 H( s" [& s- q8 e
  plot 100
  P4 e7 u+ [- G+ [0 ~( d) j
( a* I. g1 b" ]  n4 u  set-current-plot-pen "lorenz"
; Y, x2 n" U6 l# j  set-plot-pen-interval 100 / num-people
9 t6 y- `/ Z, Q  S4 V* P2 T  plot 0
' g" l7 P" O/ t, d: W# i7 `7 |, f+ C! q* T  w3 t
  let sorted-wealths sort [wealth] of turtles
* a4 l2 b  l9 O- ?! p  let total-wealth sum sorted-wealths# l* v  x  @$ D+ o+ V& O0 }+ I2 \
  let wealth-sum-so-far 0
5 Q- e, O; j2 Z! v  let index 09 N8 |) E6 \8 ]" }2 c, P
  let gini-index-reserve 0
. p; ~7 ]" u0 e9 T+ I  `% z+ t" c- v0 m1 d: P. y
  repeat num-people [
3 E/ D' n+ n. u- y; M6 C" ]( K; i3 X$ H' j    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 r9 _# d( u% f+ k3 O    plot (wealth-sum-so-far / total-wealth) * 100
4 ~$ R/ j0 g  B/ R0 d    set index (index + 1)4 O  x9 t% j) U4 Y( C- b4 p& M
    set gini-index-reserve
& J6 k0 g" p4 L7 Q+ ~; j- T7 P      gini-index-reserve +7 q9 A. ?0 R! J" R; W, [/ b5 Z
      (index / num-people) -
& O/ B, N- B5 ~1 r) f      (wealth-sum-so-far / total-wealth)
1 Y4 ~4 y  m" G. o5 f* J: L  ]% n8 {! Z9 T, Q0 T( l+ v3 }

) _# v  ~. Z9 T8 X  set-current-plot "Gini-Index v. Time"
/ j& A/ [7 ~: ~  plot (gini-index-reserve / num-people) / area-of-equality-triangle/ g) Q+ }; x3 \/ e
end( U; I( w0 s) G. d( F  m
to-report area-of-equality-triangle
* E" z9 l/ I/ F% E: b5 N$ ]* y  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 N' X- W2 f% |) {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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