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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
; H6 A6 X; I! ]: xglobals
0 B" g. c) L8 @% S( J1 v[, k( t+ {: C$ I1 z- |
  max-grain    / D/ [/ O! {1 j# h

% G8 W  ?2 n5 k) []9 E5 }! a+ `/ F1 e$ m
5 `- e  Z; U+ k! U+ t. I
patches-own
2 h% U+ G+ w' R[9 A, J8 X/ \: j( e, q. |6 G# j
  grain-here      % N/ Z2 `7 U# x
  max-grain-here  
% d6 r' @! _' v; Z" k( z]& x; {6 Q( S; m; q& _1 X
$ u. y: S# {' h' w, q5 |" R
turtles-own
" F  m$ K  H( `% n[8 n, f4 t$ |4 Q8 C! Q  e
  age              % B0 W- u3 J7 i
  wealth         
! W4 {7 M, v2 b2 l( U6 M+ x  life-expectancy  5 M+ W* B9 d) w- O
  metabolism       & N8 l9 y/ n, Z/ g) v
  vision& ?0 i; j2 O& I) M: F' R
  inherited         1 f8 I* a3 b( \0 W/ `. y# [1 W: b: p
]3 D3 [! p2 x4 m& X1 @" T6 L

% Z. D! o0 b7 {0 k4 O
1 y: A0 Q- ^" d' uto setup* H0 V$ q: L4 Z/ s9 e
  ca
- p% R2 B; n! q1 J4 z  set max-grain 508 c- ]' @1 G( e* G5 p5 P1 f
  setup-patches" H* |7 q6 y) B5 Z* \6 C: [
  setup-turtles6 b/ Z3 l8 Q/ a! U' V
  setup-plots$ f+ ?& d& D% V! `7 E
  update-plots
8 S- M" }6 r0 ^; Q' Lend
  p" p9 f! g3 K0 Bto setup-patches
5 p. J- }/ c& m: q  ask patches
5 H' d8 o2 d* l) R! ^    [ set max-grain-here 0
& n5 q: E# Q; J. n      if (random-float 100.0) <= percent-best-land
+ B+ @4 x/ ]  b, ]        [ set max-grain-here max-grain  U0 D1 i) S' f9 B& l
          set grain-here max-grain-here ] ]
# d$ h! z, L! B7 M$ h% |! a  repeat 5( a$ l& }! ?  X$ p/ w1 o9 L
    [ ask patches with [max-grain-here != 0]
% v0 O: Q6 G& `8 H% b& N        [ set grain-here max-grain-here ]
* }/ y; K# A$ ^# g" q      diffuse grain-here 0.5 ]
6 ?% f- D9 v7 o( T. a! s! f3 ]  repeat 10
; j+ u' `! g; D8 @3 `$ H& k  T    [ diffuse grain-here 0.5]          - e" x4 @0 x* l' |! r
  ask patches
6 w3 u% T$ B0 @# D% G+ W) |    [ set grain-here floor grain-here   
: N$ d. T( l0 [) d* h      set max-grain-here grain-here      1 D7 k8 N+ G, N) D" }" v, u9 |
      recolor-patch ]
9 |4 U3 A) O- Z# xend
) Z3 @5 S3 a  R2 s4 t+ z2 ^0 ^to recolor-patch  
( _5 d) }- Q. R2 i, z  set pcolor scale-color sky grain-here 0 max-grain
) i& H8 }2 X8 \8 A/ Q6 oend
* }0 b( F3 W: Z0 I  J; Eto setup-turtles
" X$ v& `! A0 R) m4 K  ?  set-default-shape turtles "person"
  w6 W& j+ f( n; R  crt num-people  ^" u/ ?* Q  w' l6 [
    [ move-to one-of patches  
* a  B6 j" }. E7 t% i      set size 1.5  4 x" w! |! O1 K% Q% y& k9 y7 y6 t0 r
      set-initial-turtle-vars-age
& E- J3 P& Q9 g$ V, u      set-initial-turtle-vars-wealth
  c8 ~& [, N3 Q      set age random life-expectancy ]3 w0 ?2 P5 S# D( D; l2 p: M4 S  A4 I
  recolor-turtles
1 \+ o. F- b+ \/ Nend
) S; e7 V+ e# r+ X* i: G/ n
/ l8 m$ ~" A- a4 a6 a' [to set-initial-turtle-vars-age5 E+ X8 D" h/ a2 q: S- j# A
let max-wealth max [wealth] of turtles" k2 U8 S( F3 S5 M
   
- p2 |' q  F( j) Y# \" p# h4 Q6 ?6 u     ifelse (wealth <= max-wealth / 3)3 `. K1 c$ p: H8 R
        [ set color red
$ y# {3 z3 |- E/ U          set age 0
# Q; A# Z7 I7 l% J9 W2 k          face one-of neighbors4
4 H; |) L7 F# K# C% C) b2 H          set life-expectancy life-expectancy-min +
" l! y" d+ E6 ?+ P2 k  N                        random life-expectancy-max
* F. Q  s% l1 Y1 l! d. F          set metabolism random 1 + metabolism-low  Z* d, Q0 V  o4 ?. e) `" g  Q
          set wealth metabolism + random 308 e* `6 F$ p. w4 U" l
          set vision 1 + random max-vision
/ t$ r) O  }( p; ^$ v             set wealth  wealth +  Wealth-inherited-low ]
5 u! ^: o  O8 q        [ ifelse (wealth <= (max-wealth * 2 / 3))7 d7 S5 a1 A7 |
            [ set color yellow 2 u: K0 C$ _) W1 v; {
              set age 0; J% r" s. {# G# _0 t$ p
              face one-of neighbors4
6 X: s: s9 Z( ?" R' Y1 ]              set life-expectancy life-expectancy-min +5 b/ @" n- ~, K$ E' G
                        random life-expectancy-max + 16 |6 b. }5 W& ?
              set metabolism  1 + random metabolism-mid
; e1 G5 R1 t- L5 z! p8 g* A9 f! {              set wealth metabolism + random 30
- ?% I2 [% e2 N% j2 ~2 o/ ?              set vision 3 + random max-vision1 A- q1 t2 q  N; |) N
                set wealth  wealth + Wealth-inherited-mid]
5 [% F" @; F# v/ A) U: H6 d            [ set color green $ G7 F( Y5 Z6 r8 _# a. Q1 n
              set age 0/ g# I8 M! y. ?. R# y
              face one-of neighbors4 ' U2 @4 E9 ?# j- T
              set life-expectancy life-expectancy-min +8 x. }' k( ~, Z& f1 d
                        random life-expectancy-max  + 2
( S0 ^' ?! u) e0 d7 z9 @              set metabolism 2 + random metabolism-up  b  {6 N, j6 m  \/ ~5 Z
              set wealth metabolism + random 30
5 v4 Y* P. I3 ?- \8 `% T/ B3 ~              set vision 3 + random max-vision
2 _. r% n% H. e. i7 t4 o) r              set wealth  wealth + Wealth-inherited-up ] ] : F/ V  C" E4 G2 Y- ]& m
" p. M1 V! {% E. A# g% U) L% m5 J
end/ `8 x/ F5 O/ V( S3 e  Y/ }
to set-initial-turtle-vars-wealth
; r3 c7 P% f) X$ f$ M let max-wealth max [wealth] of turtles6 L1 O7 C7 k; R' l% Z% S% ^2 ]
          set age 03 o8 A* d4 c' b4 z' i# O  A2 L8 l
          face one-of neighbors4
, q% I, Y* ?- p          set life-expectancy life-expectancy-min +
: L* [! Z% v( B9 V                        random life-expectancy-max # m8 C( J, _9 I7 {- r( f- [
          set metabolism 1 + random metabolism-up
; M: s4 U( l0 L6 q1 Y8 \          set wealth metabolism + random 30
; W# \, I# j3 }2 T$ T' l/ W          set vision 1 + random max-vision
1 {: u6 V. r9 Y0 f  V  a/ V7 f" dend# v5 @) _: \, \
to redistribution
/ X. F2 H. r' j: ?' a2 d4 s' e+ [let max-wealth max [wealth] of turtles
4 b  L$ k3 L0 h' blet min-wealth min [wealth] of turtles
$ S4 Q. F, R& ?$ J$ v/ }; Cif (wealth <= max-wealth / 3)
! L; X: L- p4 Q' b( L [set wealth  wealth + Low-income-protection ]
, J5 B8 b% C3 n8 R. `$ C; \end
6 L' m) r, ]# Z0 c) |4 b. C' L* x, f         
' G- ^0 ^* c. W* J" i3 dto recolor-turtles+ c* N6 F/ \& N+ Z4 B
  let max-wealth max [wealth] of turtles" U7 r6 u' @  z% j# W
  ask turtles! w( z) Q/ q9 H% M( [8 Q  R* }4 z0 a
   [ ifelse (wealth <= max-wealth / 3); P- k$ F8 j2 u. o. A
        [ set color red ]5 Y' ]* S6 H. H1 b
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" j9 l$ q) K9 ^/ Z            [ set color yellow ]( C" T; x1 }: N, S+ X: Y" L3 z
            [ set color green ] ] ]9 X7 e& ]# F4 w) D3 D% h
ask turtles [ifelse show-wealth?
9 M0 [. e3 d) X% Q    [ set label wealth ]% G4 ^& R9 g- k' C: ]- X
    [ set label "" ]]0 h4 L4 Q/ B4 W+ M) R7 g- [1 z
end
+ I+ [* m, L3 v7 Z+ e$ L; |7 P0 C6 O2 f, J; f7 Y- z
to go. w  Y' }% f) ~0 P0 Y" c
  ask turtles2 W+ x5 K/ R" W  i) M8 i
    [ turn-towards-grain ]  0 M, ~- A5 g7 U; H
  harvest/ t9 U: c5 |2 s( j0 s+ Z
  ask turtles' E2 a2 |. `7 b
    [ move-eat-age-die ]
9 I" I7 a1 `: |  D  recolor-turtles" V/ ^' [% D7 D. y9 R
  if ticks mod grain-growth-interval = 0- m) S) @6 D) ~1 e- d! z
    [ ask patches [ grow-grain ] ]4 k0 U; S2 V! l  H5 A) Q. ~
   1 C& C) C+ C( I' N
  if ticks mod 11 = 0
" z; }6 S5 ~2 h2 K  [ask turtles
( p! h; J2 E+ ~& ^0 Y  [ redistribution ]]2 n% J9 t! Z3 O/ Z7 Z
  if ticks mod 5 = 0
. y; \, v5 e" Y' ^. ?5 r   [ask turtles% q0 E+ l4 m& b& y8 T6 y) V6 S
  [ visions ]]' F5 z9 X' @) A7 b" L: U
  tick' v  J( f* Z0 i" c7 _$ r9 D5 h" ]* @
  update-plots
* a! l; f: I' I/ Q) Mend- D8 z* i; f7 h( O+ Y! D
to visions2 [- b7 U4 P  K0 \
set vision vision + 1
1 Y0 m1 ^4 j$ yend
9 o  z& q" y( f" H
. W; h1 E/ z/ x. ~/ i. e
; w5 M- o, y2 K% w* y: b6 a. u1 U, A
to turn-towards-grain  5 L& H. j, A8 |+ W, \2 ~/ q
  set heading 0
. C# F- H8 u% A7 Z/ R7 k# U/ e. P  let best-direction 0; ]3 l' r3 z+ a) [1 k  l
  let best-amount grain-ahead
1 Y  f  ^2 j  g! O( v  set heading 905 ^7 s* g4 y$ t
  if (grain-ahead > best-amount)
8 n! M" T3 O0 E# _    [ set best-direction 90) F4 Y7 P# w5 L$ A- V
      set best-amount grain-ahead ]
2 P" d* H, ]  {2 b% v7 T, e* h8 k  set heading 180
" s# h$ }% k7 ]: l- ?5 X6 t; T  if (grain-ahead > best-amount)6 B; b6 L9 d2 v+ d0 X& T
    [ set best-direction 180& t4 T# K. s3 o8 O$ d2 k" v
      set best-amount grain-ahead ]6 @  g7 g0 u, {& F( [% ~
  set heading 270
, n# w8 l) J, I/ M- l; w% F/ ?  if (grain-ahead > best-amount)9 b& r0 Q& c( P3 W1 u5 k* q
    [ set best-direction 2700 K2 ^3 N8 [# ]' ?* X
      set best-amount grain-ahead ]: O$ ~, D" M6 }* W8 }
  set heading best-direction
. t6 [, n9 T1 Z" ~! ]end
6 U3 n+ ?/ i5 M
+ r' J7 ]. m2 A
0 X# q- K& p6 w$ Y6 J# d& d" @to-report grain-ahead  
& y: W- N( @; V% x9 _  let total 0
5 m7 \- k4 i% N9 s0 Q9 k! E  let how-far 1
) _) i& u8 S2 D) n' k- N  repeat vision
% |. N6 z# d9 }! [4 ]    [ set total total + [grain-here] of patch-ahead how-far6 c5 G# P. [$ F* W0 v" y5 G- O7 K4 ^
      set how-far how-far + 1 ]
' d+ ?# q. t& m  `7 L  report total
/ K% z2 t5 k' u( \) P' cend
, t, C1 p- }& J8 P5 S7 K0 D
! e' p. c/ L8 A! W3 ~& wto grow-grain
% f. F. c7 A! N( ?* @; |  if (grain-here < max-grain-here)
0 Q5 O3 @  z, A+ F3 |    [ set grain-here grain-here + num-grain-grown
0 t6 Z1 Z7 z- p: D- X* ~      if (grain-here > max-grain-here) ' l, f5 J3 ~7 k5 G% A$ o& S) i
        [ set grain-here max-grain-here ]
& y. @" K; ~9 J% F8 A- I      recolor-patch ]
/ s3 A0 F8 T' ^2 n" dend
+ j+ f9 z8 S3 k% K# vto harvest" A5 D3 p, c/ t' X* A2 I
  ask turtles' o3 U1 `# ]% Z! c
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]3 P9 a2 c8 W% C
  ask turtles8 l3 T0 {  B3 o2 q5 C& g5 d4 ?
    [ set grain-here 0* i! V- w: x0 [! v2 @1 a% ^8 H
      recolor-patch ]# S6 a# r1 Q  }$ V
  ! j% G% Z7 R/ a" \9 M. {& P7 D# o
end% p. I, U; @' f' S4 B  A+ M0 ^
! P& i0 Z2 s3 i5 |3 _: ]+ J4 [
to move-eat-age-die  7 Z0 \+ g; R3 ~! a7 M* D& H& L
  fd 1
3 d/ ?% ^4 ]! Z9 ]9 Q  set wealth (wealth - metabolism)
8 \& o8 ^3 q5 B; U* A( w4 A$ w    set age (age + 1)$ P* ~6 I* M, _8 H4 q7 Z; O
  if (age >= life-expectancy): h/ `/ A" J2 [* U; }
    [ set-initial-turtle-vars-age ]9 B' p8 T- S. b) \6 ?
  if (wealth < 0)0 Y& v. `9 [% f! `: w9 c
    [ set-initial-turtle-vars-wealth ]
* H( A5 a" g6 p- N   
* l* m) ?- ^6 d4 k1 ^end3 c: q  Q& D' o# R: o2 d

" c9 l% G1 y& c2 j: z, e9 [: N* J: A4 P; ^
to setup-plots) b9 ]  T( b% ~% |
  set-current-plot "Class Plot", S: r) ]" l2 J3 w6 U  ?# |
  set-plot-y-range 0 num-people
6 ~' w2 t, C% k: n( c  set-current-plot "Class Histogram"; r$ m2 P6 O, i" U" G. M
  set-plot-y-range 0 num-people" \1 U. L2 z! N  z( s
end
" b4 B, [, r0 }8 b4 j% ]9 _. R
, n% H6 }8 ~) F1 H  _: z3 lto update-plots3 |8 b: i& w: R- P7 s) d9 v
  update-class-plot% P! G2 t+ l  x" ]/ B6 E+ k3 c
  update-class-histogram
0 Z0 Y; p! t5 [# j, _3 s1 ^7 ~  update-lorenz-and-gini-plots! o6 I) e! C0 J: ?: Z# P3 o5 g
end2 p# \- L9 P- d# v7 f
# z5 s# b8 i3 M4 e
to update-class-plot/ E6 V( R7 Y, N3 O6 W# K7 \/ Y
  set-current-plot "Class Plot"# x% w; ~: ^* J9 f
  set-current-plot-pen "low"
0 H; @1 h; ?) X% {; L1 y  plot count turtles with [color = red]
4 b  t, g: W3 f' \, l4 ?3 @  set-current-plot-pen "mid"# U3 g7 E# @( a; a; Y
  plot count turtles with [color = yellow]5 o" l; N( ^! i4 T. ]! B6 j; m- w0 ^
  set-current-plot-pen "up"2 i- f& A6 }* g3 m
  plot count turtles with [color = green]
: Z) A# S: d8 s& p, M; }end
! K  Z4 c- z& ]. T/ S3 H4 l0 v0 r/ L' w5 V
to update-class-histogram
+ d/ V7 P* p* ]$ K( j. j  set-current-plot "Class Histogram"3 d$ n5 d" O9 z& t. U" G
  plot-pen-reset
: V' R7 F' q' ^# R7 Q; p* w  set-plot-pen-color red
  q% ^3 F% b3 }( A0 Z  plot count turtles with [color = red]! @5 A( @3 V7 E5 ~8 s/ b7 h
  set-plot-pen-color yellow
, ?% M- t$ ~3 |0 w  plot count turtles with [color = yellow]0 R# G5 y" @- H* g
  set-plot-pen-color green
7 a* r# g5 J' g  plot count turtles with [color = green]
+ @( z/ V! e$ \' U* h& Z- fend
2 c7 E# }% I* i' ~to update-lorenz-and-gini-plots
) N8 g0 T4 _; b4 Z' V5 w  set-current-plot "Lorenz Curve", `5 r, s9 y; |5 k+ O
  clear-plot
0 m* H. N* Y4 K+ A* ?, l7 X2 x# B* f/ l$ O: J' B  X
  set-current-plot-pen "equal"
, O' o# s# S$ n) B  plot 0
1 l/ x3 ^6 n1 p# z# ?  plot 1008 K4 z: a4 S& `" o4 s, S
- P: W) r# v( x
  set-current-plot-pen "lorenz"
  m: F- A- ?  W' p. b# O  set-plot-pen-interval 100 / num-people% Z1 V8 u, P- M. i4 a2 I& J) h/ K
  plot 0: l( Z3 R/ v& i6 e
$ @# U3 x0 o: O: _) e+ H' }
  let sorted-wealths sort [wealth] of turtles
2 a( ?! x# t* `& w  let total-wealth sum sorted-wealths4 _7 S6 D9 C0 j# e$ U
  let wealth-sum-so-far 0
9 M9 b5 F, K6 N9 N  let index 0  g& M) r, h( f  X# y
  let gini-index-reserve 0
& E9 ^6 Z- k' I: n
! q/ e$ q9 K" `  repeat num-people [+ T; K( z8 z: u2 m
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
8 H$ A4 E2 ^9 j4 v    plot (wealth-sum-so-far / total-wealth) * 1003 }, u* o8 u+ p# H- u+ o5 y1 s% }! }
    set index (index + 1)
$ H+ M" b2 z3 Z3 G4 x) y+ o    set gini-index-reserve* O4 {5 E2 \0 n3 t0 F& V! j
      gini-index-reserve +
& m/ Q+ E  z) \# u; ~6 ~& ?( |      (index / num-people) -) o" f; ^9 P! s7 b( }$ L3 l
      (wealth-sum-so-far / total-wealth)
/ m/ ?2 a! c" y" O* I  ]
; ~. |0 Z# g2 l" X2 w. |
; Z/ O: O- n8 t% ?  {  set-current-plot "Gini-Index v. Time"
; ^+ @+ i3 S, M* z& U& Q# v  plot (gini-index-reserve / num-people) / area-of-equality-triangle
1 [1 v% v" n1 w; Q& W. Lend
; e5 J' }7 O; o" e6 K1 \7 S( b2 ~to-report area-of-equality-triangle( W/ E$ ?6 K3 ^+ p
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)( V$ x0 d4 c* l/ c2 r6 }- V' _
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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