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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 D6 g9 k6 v# Z8 Q  [3 Qglobals0 [" ~4 H! L+ h% \/ O6 }$ X9 j
[
& q6 |' o9 I: x6 x5 Z) S  max-grain   
5 Q. @! i- m. B* a: ~9 P
$ t5 R. w& t, x3 p' v]
: [& t5 \+ M. G: U/ o/ W
' V" U/ g# h2 s; |' epatches-own
- J' U$ [% R! _4 Q! e; ~[
2 g: g4 D1 T/ D6 P  grain-here      
- w5 O/ d6 T& P8 _  max-grain-here  & f. X1 [1 Q2 o' V
]
% I* c& }% o3 `7 `  i& r! ?& I9 R5 _# w% ~. Y7 ^1 D
turtles-own
, T0 A& l& Q8 F* H  |. X* L$ P[" C# Q" j# l" b
  age              
/ B: p2 G2 ]% m: |0 x2 K8 V0 x' ?1 C  wealth         
# X  V- y* O7 [4 n  life-expectancy  ' K0 u7 i- v6 U# I4 K
  metabolism      
/ B! s7 Q$ o. _. k6 x! x* h  vision) @- h! N  |0 Q- ?% y" I& a# B; T5 ]
  inherited         2 _5 s# ^  v5 g5 @1 N' }  h" B
]2 ~9 Q# S: G6 W3 l+ u1 m5 e: ^
7 @) M6 y( T# C. {! t

+ l2 X, w$ `: q- m& y0 a8 Y5 Yto setup
' q  d& T! ?/ Q/ w0 v0 `: P3 L, d  ca
$ x+ N$ J! k8 [- A: c  ]' h  set max-grain 50' I' S6 U2 |# W& J5 h# N
  setup-patches
: w( O6 S8 \9 j1 l1 d  r" z  setup-turtles& A+ S( Y; [* Z% p) l$ j) X4 g
  setup-plots
/ B- @) _- X' c- W& v1 ^8 J  update-plots  n# }4 l5 S; i2 i$ A+ g5 d
end
" B7 B3 A  X+ {! I3 S) Pto setup-patches
% k& z) M; i8 d* }  ask patches4 j9 i6 ~. h; ^. X$ Z2 G
    [ set max-grain-here 0" ]. n" o3 O$ D/ o: [
      if (random-float 100.0) <= percent-best-land
- `! S" o7 x# x$ K- Q) w5 k( m        [ set max-grain-here max-grain6 P6 q, I; P1 `3 B- Z  ~/ o$ D
          set grain-here max-grain-here ] ]8 [. D; g3 ?& V+ Z7 S8 _. d  F
  repeat 5* r6 \& c) v4 ~
    [ ask patches with [max-grain-here != 0]& V4 t  q- I" J9 c( d' Z
        [ set grain-here max-grain-here ]' A' V0 h* A! D  B5 v% c( m5 q
      diffuse grain-here 0.5 ]8 p* {) f+ w1 y" V+ R5 z# T+ A
  repeat 10: r7 R; A* Z$ s/ r+ U# M- {9 j1 j& ~* K
    [ diffuse grain-here 0.5]         
/ J, T0 C, A: d( X4 H' u! {- s  ask patches
( s! Q: i7 B  E7 y* l    [ set grain-here floor grain-here    8 W7 M; i) O. E& q
      set max-grain-here grain-here      3 s: [' o& G: x$ J$ a+ w  w6 Y
      recolor-patch ]& J+ l* N% j  A$ {/ g3 [
end
* q' o$ s' \1 p" C2 Rto recolor-patch  - u7 Z9 g' ]2 ?7 b8 ]
  set pcolor scale-color sky grain-here 0 max-grain
/ a% C4 L5 j7 K( V$ [. W7 }8 Nend
5 A, ]# N8 t" }( l! ~# \7 Yto setup-turtles
  I' o5 E% N: z$ X/ R8 W  set-default-shape turtles "person"4 A9 E# _. x0 J4 r% c1 c! r
  crt num-people$ z& c# `8 F3 r0 m4 }% Q
    [ move-to one-of patches  ' k. e, V) A& a0 U2 }: J
      set size 1.5  ' w5 r+ ?6 y) v- A/ n7 s
      set-initial-turtle-vars-age, Q( q- M) _5 \
      set-initial-turtle-vars-wealth
3 G7 [) J0 D( P$ h7 V9 b" x      set age random life-expectancy ]
6 G# u" X& Y8 n, x; |$ r" h) F  recolor-turtles
4 R8 V# G  Z' `0 u( e& uend
: c" P. I+ {5 _' S0 I$ d3 U/ h. _: p% `, @' ?: H" i3 ]
to set-initial-turtle-vars-age
0 q9 x. @# N2 x' U; H7 q" Y let max-wealth max [wealth] of turtles
" H/ g( H: D: \4 V  e7 _, x   
: u& \7 ]9 r6 ?% x1 _* ]     ifelse (wealth <= max-wealth / 3)
% ]0 B" d- k, U" o$ q! m: D        [ set color red : F8 S' z6 A7 t( r9 g0 k8 {
          set age 0  n, \8 e- [! g' B- {9 ?
          face one-of neighbors4 2 `6 ^5 E" a* Y) A# i, ]3 S' s
          set life-expectancy life-expectancy-min +  Z! m# ~! R9 c9 S7 ^" s; m
                        random life-expectancy-max % S& `% K) q3 H, M
          set metabolism random 1 + metabolism-low
) k: l1 N: F3 O: D* }6 N) P- D          set wealth metabolism + random 30; U( }; j1 M. q# g/ s' }
          set vision 1 + random max-vision
( q; }8 g1 J2 @3 f8 g             set wealth  wealth +  Wealth-inherited-low ]6 P4 }2 n6 x% v5 a
        [ ifelse (wealth <= (max-wealth * 2 / 3))
% ]6 w' C/ N* L, u0 H4 t            [ set color yellow
$ K0 e! p# @+ c* _( \/ C              set age 03 G- t. g: ~& l6 d0 x$ W
              face one-of neighbors4 / |0 ~# z) e8 y/ D+ F4 V
              set life-expectancy life-expectancy-min +
: l' Q  l5 z! e1 K( ], `4 ~                        random life-expectancy-max + 1: }3 u. A0 i$ B( S' a
              set metabolism  1 + random metabolism-mid
6 I+ n7 _3 Y% B1 x, k              set wealth metabolism + random 30  g# ?  J7 v( r* P5 t% `
              set vision 3 + random max-vision
" e" v3 S# M1 w6 c" y% X0 Y                set wealth  wealth + Wealth-inherited-mid]
$ ]9 @1 Z, j6 P2 L# m            [ set color green
3 Z$ Y: L& u7 _* i  b/ U* |1 U              set age 0
. t% r0 M* |: E3 l5 N, N              face one-of neighbors4
3 V  X! i1 K' S7 g/ L              set life-expectancy life-expectancy-min +
( [; ~3 L2 J: ^; f6 Q                        random life-expectancy-max  + 2
6 S1 X! J& P' v0 S/ c# r* W              set metabolism 2 + random metabolism-up
% r6 P4 Q* x5 W              set wealth metabolism + random 30
$ ^% F  A* C4 z& i! `              set vision 3 + random max-vision
+ s0 n8 |  H2 j5 j2 x% z              set wealth  wealth + Wealth-inherited-up ] ]
% o* x, P/ S7 y3 v) D 9 |7 a  T% R2 z8 }4 i; w" }/ U
end
# N, s$ E6 N. v! g7 qto set-initial-turtle-vars-wealth
. f7 b) }% Z; i! _# e6 I. R let max-wealth max [wealth] of turtles
' e: x: a* E: V$ f7 {2 s          set age 0* M. F) z$ h. @
          face one-of neighbors4
! o- ~6 M9 ?# i          set life-expectancy life-expectancy-min +9 S- O3 A% Y3 x8 }7 S& I/ R4 n
                        random life-expectancy-max ; e& b7 Z/ d; n5 D# c' J# Y
          set metabolism 1 + random metabolism-up
8 A! d6 M- s. [4 R          set wealth metabolism + random 30
3 ]5 x* [  F7 @+ V# J          set vision 1 + random max-vision
  }, z, h; `2 {) y- F2 D& q/ T% eend
& p/ m9 s0 `: ~& z0 ]to redistribution
, V, q3 }: G( o+ ~let max-wealth max [wealth] of turtles
2 l0 y- ^( B/ ?$ Z/ ]+ hlet min-wealth min [wealth] of turtles7 A' D" B0 ]+ L% g/ J# i
if (wealth <= max-wealth / 3); W$ B6 R2 b1 p; f5 U6 m* F2 |
[set wealth  wealth + Low-income-protection ]
3 w5 j- q& \) r, ?% send
3 q- l$ l+ [/ ~4 w          9 t  j% q' e9 m; O: m
to recolor-turtles! S) f3 L8 j! X! ], j& y8 c, J5 {
  let max-wealth max [wealth] of turtles
3 ^! P1 Y3 B- ~  j$ {6 V8 l+ y" ^  ask turtles. Z- I9 f$ Y8 W  v6 G7 l7 \& Q
   [ ifelse (wealth <= max-wealth / 3)) O) g- G: w* F/ o1 V6 e& k! Y! h
        [ set color red ]1 p/ {: ~1 Y3 Q! g4 h1 V3 F
        [ ifelse (wealth <= (max-wealth * 2 / 3))
$ W5 G2 ?$ a4 }1 _3 i0 R            [ set color yellow ]" i8 v# o! i0 @7 M5 e0 b( e
            [ set color green ] ] ]5 t3 }% I6 W# c2 J
ask turtles [ifelse show-wealth?
' e# s# t& a, j! Z    [ set label wealth ]4 i& E4 ~1 c  A+ V* Q. ]) E4 K
    [ set label "" ]]. @. ]. b& B3 {, u! B$ g
end
4 S0 `- x4 f8 A& V0 H' k
+ t9 T2 \* |9 `) d9 C0 Fto go
  D4 X: J7 Q5 l1 I  ask turtles
* g( b* l& N4 l* T6 P! `    [ turn-towards-grain ]  
" u+ n7 x: r% l4 z  k0 J6 R  harvest
! u: C3 i# Y' Y  ask turtles2 L" T* x/ k- V- y$ ~
    [ move-eat-age-die ]% m3 G; f% F3 T% _# a  ~
  recolor-turtles
7 s- w) C3 U1 B0 }) B  if ticks mod grain-growth-interval = 0
) q! N' q9 ]2 ]8 n7 X' v    [ ask patches [ grow-grain ] ]1 \4 h& P% o3 D, i
   1 U8 o- G0 k& T
  if ticks mod 11 = 0
. M7 v  @* ~9 Z  [ask turtles2 ^' u# Q# k' d6 e- u( p
  [ redistribution ]]
; Z1 }  K, t" f  if ticks mod 5 = 0$ @3 O+ d% r1 R% Y
   [ask turtles" M$ A8 X& e& |5 {8 \
  [ visions ]]
" P% j* h- b( F7 N% @2 F  tick
0 u; F8 d8 n+ ?5 R& @/ g8 g. G0 `& r  update-plots
9 j; t# X- [4 n5 }" `end) B9 P' x4 `, K, y3 H7 V- D
to visions
1 L' l( n$ Z0 u' h- [ set vision vision + 1 9 a! O( G8 t7 [
end
  m# N/ s' [" L. H8 @: c0 T# L. ~0 [3 o& x4 v. V7 o
/ ]$ i: g3 h; ?, B! D

+ z& `5 d; ?; c7 Hto turn-towards-grain  # k/ N! i* E4 m, H! [5 M, ?( }9 [; G
  set heading 0
. L  a  m! B9 z# Z$ `2 K  let best-direction 0; Q+ c- r0 m/ D% Q1 h
  let best-amount grain-ahead
! j; X8 j7 C5 X2 N5 M0 l! q  set heading 90' l9 C* O2 s9 E% I6 V# a5 z# F
  if (grain-ahead > best-amount)2 I& [% I- \$ W# X; b0 \, ]
    [ set best-direction 90  }5 d( ^8 L6 W; d: D; o
      set best-amount grain-ahead ]* K7 H( I0 F/ O+ Z* |
  set heading 1805 \1 F6 j' @; }4 Q1 y4 R
  if (grain-ahead > best-amount)5 R+ _. ~7 C3 M$ ~/ A% o2 r
    [ set best-direction 180" `/ i0 y, G: a5 H, x
      set best-amount grain-ahead ]
! x; Q% e. k1 D+ \0 |- j4 M- w# g  set heading 270
& c8 x, Z! f$ E+ A$ P  if (grain-ahead > best-amount)9 m' L; w! H" B+ |0 K" M  D
    [ set best-direction 270
3 O$ n% M5 F0 G, z2 ^      set best-amount grain-ahead ]
! i0 k5 C" s  @; E; r1 y/ D/ M6 S  set heading best-direction
+ `8 D$ ]( M/ T9 n6 ]7 S5 Cend
( c4 y) {7 L# y1 r% N0 Z& L
/ g. O8 y  O# l3 R$ J; ]1 J! `) T
to-report grain-ahead  ' }! P) i6 Z* I  r* t$ G8 Y5 z
  let total 0
3 _5 M# {8 F4 U3 ^" Q2 {6 i  let how-far 1
" U  F1 q3 d  w) B5 K, F/ E  repeat vision  b! f* H! C6 P1 ~7 X
    [ set total total + [grain-here] of patch-ahead how-far+ _% K' b0 q7 ]/ ?( W2 D
      set how-far how-far + 1 ]
( V( J0 C5 K3 b4 d+ y% I  report total
( _9 h6 }( o) y% Q# J# E; iend3 |# F2 P$ R0 ^7 t2 E- b) ^
: W% H) f! M# b% }6 c+ z
to grow-grain
7 D  Y! f6 s: H; R% K+ Q  if (grain-here < max-grain-here)
2 ~; \- |  d6 c! O$ t& N" \    [ set grain-here grain-here + num-grain-grown  r+ B" t+ W9 j: _+ S
      if (grain-here > max-grain-here) % I& l! B) Z* B2 c
        [ set grain-here max-grain-here ]
# n$ o7 d$ C* T: N4 g      recolor-patch ]/ V% B1 [& `4 {5 O' b
end
& e7 l; d8 _% m6 z( e$ C  wto harvest  z9 M1 |# B' y. r
  ask turtles- Z0 \3 ?$ J. |! w
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ y+ D1 Y7 G; d! N+ J; e5 W  ask turtles+ l# g6 A; j$ s7 v; Y4 Y/ ?! l
    [ set grain-here 0
% W% Y+ Z+ \! q  e- _+ j5 H! u      recolor-patch ]3 Z. u8 R1 S; T' Q2 v+ g7 ~7 E
  
. p( \" r8 c2 L5 d  [7 _end
- B: O' h) M' C0 \8 E2 h3 h' m, c0 }( C1 n7 x7 {
to move-eat-age-die  ; d3 q5 u4 r9 I( n$ Q
  fd 1
. {  I% T! z7 {' q) A# V, B  set wealth (wealth - metabolism)
, ^1 c- y; [+ k  w    set age (age + 1)
' d% g* F$ U: L, b8 f7 g% T4 ]  if (age >= life-expectancy)
9 t; m% J; [4 V. q( ^- r% K    [ set-initial-turtle-vars-age ]
% b1 \% b1 @& L2 U' E  if (wealth < 0)
  J: ]& G2 G( Z6 g! M( S    [ set-initial-turtle-vars-wealth ]
2 s3 ~3 y5 [! Y5 H. s2 k) J   
# u4 S' n+ j# i' x* g1 ]end4 z9 a8 F. Q, i' b) j
$ Q; Q% _3 E3 P8 }- B2 {. r

3 z) {9 x. f5 ?' x* _5 A! cto setup-plots' x1 P# e" Y1 t
  set-current-plot "Class Plot"
) W4 L. v* P3 \# n+ a  set-plot-y-range 0 num-people+ S# @$ @8 B7 _0 f' ?  }
  set-current-plot "Class Histogram"
; I$ k; y, ~& f) \* ~' h  set-plot-y-range 0 num-people, f2 y; I# g4 R& G1 p0 P9 z% A7 E
end
* y5 N# ^) P; H4 e8 f5 q/ F5 W
) o6 u# H1 C# ~to update-plots
; W: D3 }8 b8 M9 \$ N  ^  update-class-plot6 l7 t+ A! k9 k" ~* W& Y
  update-class-histogram
& I. q4 b; T0 s  update-lorenz-and-gini-plots
4 o0 l$ @! [, s7 Wend
0 r0 l! f& T; L" i/ D$ b/ x! \$ e) R1 L5 M6 f. l
to update-class-plot! ^, Z2 p( q- J& u
  set-current-plot "Class Plot"6 x# s4 L/ }1 }& u7 p
  set-current-plot-pen "low"$ E; n# G1 ]! G& K
  plot count turtles with [color = red]
$ i( p7 b0 s) A+ C; c  set-current-plot-pen "mid"
* M% z) z3 R" e  plot count turtles with [color = yellow]  [1 v7 ?8 A5 s4 J. t6 E
  set-current-plot-pen "up"# x; F3 e% V6 `" f
  plot count turtles with [color = green]4 r$ ]9 H5 ?$ L/ ?# Z
end
" G, k; `- a8 }) z9 B* y; ^7 g/ R/ e9 E( U8 r- h0 u/ C+ v
to update-class-histogram
' e3 P5 o) y1 H; Q  set-current-plot "Class Histogram"; U; t% h/ ?- {8 x7 W& @
  plot-pen-reset
; S; O' Z3 W0 Y; h& k* q  set-plot-pen-color red
$ Y5 O6 {' z' Z  plot count turtles with [color = red]
! R# c7 |# O( W$ J1 t+ r  set-plot-pen-color yellow
) c3 \6 f4 m& c6 e' p% }2 X  plot count turtles with [color = yellow]
! J/ t5 f8 j( }! N7 n! L  set-plot-pen-color green8 c3 X' F+ j1 A! Q: R
  plot count turtles with [color = green]+ w+ v! |; u* V
end! ]# ~5 v3 ~8 p; Q" o1 ~" m
to update-lorenz-and-gini-plots( z0 N! M/ V) J  ~
  set-current-plot "Lorenz Curve"+ b" V' }. G4 [, z- K' t
  clear-plot  @+ g5 T3 b  C# d1 B( S. O5 N
' i) e2 ]/ L# T5 L9 P7 }( J( h
  set-current-plot-pen "equal"
  G: d* y0 H$ e+ K; l  plot 04 p+ H# m+ e5 r* z+ `; K
  plot 100( n; ^5 s6 e$ x; h

7 m1 e7 W/ k: A/ y8 A6 d6 ~  set-current-plot-pen "lorenz") a1 b$ @: ~( v" S6 [% [
  set-plot-pen-interval 100 / num-people: T9 u9 Z5 o: M  S5 g5 {: d
  plot 0: H7 N7 ]; Z: v) ]+ C1 _+ c: v8 N: N& {
" m  T1 I9 P1 W/ ]5 n, J4 `& j
  let sorted-wealths sort [wealth] of turtles
2 F' g7 P" p1 e$ |  let total-wealth sum sorted-wealths! H7 d1 T* s7 n: m
  let wealth-sum-so-far 0* v) `  l# u- J1 \3 ~1 X7 Y0 G7 [
  let index 0
% i5 \! a+ J; ^  let gini-index-reserve 0
+ j7 n% g0 e! ^: t) ?. `/ D# i! O. w% J* Z8 l0 q
  repeat num-people [& g/ i/ _8 g  I
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
( {$ i+ r* @; X  M3 `- h- `/ f' h    plot (wealth-sum-so-far / total-wealth) * 100
# j" s' u, Q+ f- D    set index (index + 1)
' B9 E2 U1 Z! g8 b  ?" r    set gini-index-reserve
* V' J" \' D4 A- c- x6 @3 P& [3 b+ g7 L+ n      gini-index-reserve +8 }" O# c# j/ P* [! M4 m( L2 A
      (index / num-people) -6 U! V, J. y( o( o, A: H' _
      (wealth-sum-so-far / total-wealth), U0 K* D5 o2 A
  ]
: v9 |, `2 T& v5 D- P4 M' O0 l% N. I+ z" b. b. m: f1 O
  set-current-plot "Gini-Index v. Time"
: t, W( Y1 N: x" a. n# k  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 ]' }( I: [! z' M7 D5 Bend
5 C$ X# X8 {8 m( nto-report area-of-equality-triangle
" t! W( O3 S, g7 f5 ~# ^  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
3 d1 T8 N$ I0 i  a* ]5 ^$ Nend
 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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