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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  I6 f" G1 h! Y4 R/ P4 j- z; i  o
globals) ]1 R, K0 C: N( [# x5 y2 C
[6 j: Y- X8 S$ [" j! a
  max-grain    2 E1 R/ _* n6 w
5 @" Y% L2 _: q$ Q! E8 Q9 g) W
]
. u; G8 v: G- q0 {% h; d7 l9 h' c% i& e" Y! g+ g2 Q+ M
patches-own
' K6 J  m7 E& ?+ E: I! Q1 a[
" W, b* w5 Q1 n, S' B1 v  grain-here      3 G4 f: }) g4 C1 {6 e( r
  max-grain-here  8 w. D+ M* t7 A# S+ ?
]" Y) S0 m. }3 T# o. _0 K/ g* `2 u. Y
  T: I# f) D7 A1 L" V; Y
turtles-own
) o( Z5 t; p* V2 F9 h% i[% n/ p6 i+ c+ v5 _4 ]' b+ [
  age              - U& r5 |2 x$ Z0 C# W2 M: O
  wealth         
0 `* C, q$ C* s0 G+ L9 ^/ B7 o  life-expectancy  
" x* M; h$ p. h# g, R  r; C  metabolism      
6 m4 R6 a3 d8 X/ Z  vision5 p, ~3 K) h2 ]. K0 U
  inherited         
+ X9 E+ \' {& Z3 ^, ~]+ T$ [/ T+ f& y& y

/ \$ v; {5 H" w: d
, p8 k* o. m" z- dto setup
, e! g/ a6 v' v  I1 k  ca) Q) i4 f4 n' b6 i" [$ x
  set max-grain 50
$ {7 o8 ~1 @) h  setup-patches6 B, c6 [0 G# x: i
  setup-turtles5 w( x; f9 U$ T8 ^# }7 a
  setup-plots
# s( x9 i. Q! @2 V$ b; ~) M  update-plots
$ K0 P, X" h' {- t' |/ Kend) o- K( j- `! ?; h3 K. i
to setup-patches' K! P0 |- F" C9 z7 ^" l0 z
  ask patches
6 n8 f' m8 X) |. A  Y7 O" S    [ set max-grain-here 0
/ q- O; |$ p0 t# N5 F, [3 ]      if (random-float 100.0) <= percent-best-land
! _+ A: j  o4 W- s! `        [ set max-grain-here max-grain
* G& i$ E. f5 R2 }& ~          set grain-here max-grain-here ] ]1 t+ l; Y3 Q5 L9 {
  repeat 5. P2 O7 w1 O# n% n2 f2 @
    [ ask patches with [max-grain-here != 0]
2 Z, X, C% I% e3 e% x! R        [ set grain-here max-grain-here ]6 \/ C- t/ Z' W4 N" e
      diffuse grain-here 0.5 ]3 a( m9 i8 m  m1 S. }, y1 b
  repeat 10
# G: u, T0 C: Z    [ diffuse grain-here 0.5]          2 o5 P6 C& p2 |9 K; Q) q; a4 `1 o9 V
  ask patches/ O9 F; v$ K& C
    [ set grain-here floor grain-here   
4 E+ h; d0 o+ g" D7 N7 k      set max-grain-here grain-here      
# R- I" i1 i( M$ R. T' p( L: A3 v7 u      recolor-patch ]
# t0 t% n1 d0 c3 W3 v) _; Fend) X* z2 j; W( f. g1 @' y; P
to recolor-patch  6 Q! c3 I$ ~& p: y. d9 H
  set pcolor scale-color sky grain-here 0 max-grain  |; H6 w5 ^& Y3 \
end. B) D; n, [: k8 Q- S
to setup-turtles' p$ [6 `) Z5 O( z9 T0 b6 c$ s* p" O
  set-default-shape turtles "person"4 m9 ^1 }4 e6 ]" X! Q
  crt num-people
+ G+ k- H& O% h    [ move-to one-of patches  
: B  p- e8 ^4 s      set size 1.5  1 y5 @5 |/ _6 L; m. P
      set-initial-turtle-vars-age
$ x8 ?6 \. Z/ t      set-initial-turtle-vars-wealth
( J6 A; f8 C. R( X. Z; Y/ o3 j5 r      set age random life-expectancy ]/ v! A# q  T  t( m
  recolor-turtles
) W( S6 w8 Y4 R3 U- z$ {end
" [% w. u, y9 N0 U* M% Q/ D
$ X* c' v- e% cto set-initial-turtle-vars-age
6 A1 N! |2 \# d4 K. y# i$ b2 [ let max-wealth max [wealth] of turtles" @' Z5 e) p: ?, t( B7 U" R& F
    ! o8 J1 G& z3 @, \" t
     ifelse (wealth <= max-wealth / 3)
6 n: ~3 u! v- [; h        [ set color red , ?$ G% j8 ]% p8 V
          set age 0# R& Y+ z7 u$ y1 ^, ]
          face one-of neighbors4
: P' y- B" A2 \8 e2 f! S          set life-expectancy life-expectancy-min +
' P2 O. y- F+ `# _7 Z% @                        random life-expectancy-max 4 \8 D$ G" s9 y: z) ~' w
          set metabolism random 1 + metabolism-low% G' E% o: Q) D# T
          set wealth metabolism + random 30
8 Q6 n# k, U; r; K0 |* _; K3 i; j          set vision 1 + random max-vision8 Z, O0 T3 `0 f4 k; S, n# g8 [( b# J
             set wealth  wealth +  Wealth-inherited-low ]
6 s) V6 }9 s' q8 Q" @4 p0 P8 \        [ ifelse (wealth <= (max-wealth * 2 / 3))
- Z2 P% J, m( |- ?6 r            [ set color yellow
/ z8 I4 A. f( D              set age 0. l3 n+ ~/ \, x- v! R
              face one-of neighbors4
3 }- q% E/ }1 n( s1 \              set life-expectancy life-expectancy-min +
) z0 r: G' ]: k3 ]0 K/ H" y0 P6 y  F                        random life-expectancy-max + 1
2 |) j; V% V" _              set metabolism  1 + random metabolism-mid
, T0 ]3 |5 u+ L: l' C& s/ f              set wealth metabolism + random 30
! k7 i( G8 w" g: W5 P4 c              set vision 3 + random max-vision$ D7 R; m0 G" n
                set wealth  wealth + Wealth-inherited-mid]- _/ i! f5 w- ]* @: t  O
            [ set color green
5 j. Y$ L( p' F1 @, w% k- @7 i              set age 0
+ \& z" a+ a& T9 q9 f7 g, `- R              face one-of neighbors4
5 G3 O' [7 H0 k( g- h: S' R( T: u              set life-expectancy life-expectancy-min +& x' Y" e+ b, \" O, h
                        random life-expectancy-max  + 2) ^( y6 h/ \# C2 k
              set metabolism 2 + random metabolism-up
* V. [; ~2 b, _/ y3 e7 J              set wealth metabolism + random 30" d" [2 s% A8 m0 ~" ^3 g) _' D3 A7 C
              set vision 3 + random max-vision3 r7 `3 W8 T) L, W: Q: l1 M
              set wealth  wealth + Wealth-inherited-up ] ] , U7 S  {0 Q' E0 [% G

+ e& h/ y2 C, }: y7 Rend
8 i" i+ P- I$ [to set-initial-turtle-vars-wealth  l- R' ?" K) D$ m% ~
let max-wealth max [wealth] of turtles
$ l0 e( {3 y3 w; M- S          set age 00 K5 Y# l7 d" S" t$ w  j
          face one-of neighbors4 2 f5 ]% e8 z4 s& T) S
          set life-expectancy life-expectancy-min ++ E) Q# S, ]$ C
                        random life-expectancy-max : n% ]. b$ ^% e& _0 `( D( e
          set metabolism 1 + random metabolism-up
7 I! v0 Z* o9 i! Z7 w& a4 p          set wealth metabolism + random 30' G; i, ~( Z) V4 `) G* F! w
          set vision 1 + random max-vision - d, M* t8 q+ J6 ~* E
end
) }5 j& H' ^) S/ N! n  fto redistribution% R( L8 N2 X- q0 v* {
let max-wealth max [wealth] of turtles* m+ e) H- J1 w' \7 V
let min-wealth min [wealth] of turtles
7 M: I& a3 z/ O/ d; ~& bif (wealth <= max-wealth / 3)
- @4 ?, T" i  \+ j' s* G [set wealth  wealth + Low-income-protection ], g  b& ]1 _" H5 R1 n
end
" `* H) I; i( M% T( O; e         
" j3 Y" u: {* f4 F* m8 bto recolor-turtles
7 Z& w/ F2 r, {4 a) l8 S  Q5 V- |/ l2 U4 p  let max-wealth max [wealth] of turtles
; `  o/ {  Z$ B) F1 T  ask turtles* J( Y$ M% F9 E9 `0 O
   [ ifelse (wealth <= max-wealth / 3)4 W% f# d1 D3 L( d: i* W
        [ set color red ]9 S6 T8 u9 K5 p) o) Z" u+ J
        [ ifelse (wealth <= (max-wealth * 2 / 3))7 b7 V* m1 l) S
            [ set color yellow ]
: B" y, T. }. Z% H5 K            [ set color green ] ] ], q$ t" O0 J( g) ]
ask turtles [ifelse show-wealth?% i4 ~4 F4 n2 k" T" r( X
    [ set label wealth ]
) W* a  t# W; \    [ set label "" ]]4 D5 o; |+ n. R6 u1 K0 q
end" Y3 d3 f" W4 L1 T% O: {9 w
3 ]5 F+ L; w- C* O, O5 z* v7 u
to go
! \9 D, W1 d" P/ y9 `2 C" ?! z; y  ask turtles
6 ?4 p/ D, X) ?    [ turn-towards-grain ]  : [; I9 @; j; K0 V
  harvest& |$ y$ L8 b/ W& u6 w
  ask turtles" b# ~) Z9 S) {) N! p. q2 V3 s+ ]
    [ move-eat-age-die ]- T# N+ e- _0 i4 T" ?
  recolor-turtles
7 X$ v9 a- n. A0 A- H7 G  if ticks mod grain-growth-interval = 0
; B1 D0 M/ t3 s% U$ {5 s    [ ask patches [ grow-grain ] ]
1 U3 d, Z! t. U& r9 s   
6 v" X& l! x- o. Y2 B2 G  if ticks mod 11 = 07 W7 L$ A6 ]: |; @+ J
  [ask turtles7 E; [3 W0 H1 u/ i; }% a5 ?4 P! P6 Z
  [ redistribution ]]4 {9 N/ f1 w1 K# N+ j% [, l
  if ticks mod 5 = 0( Q8 q7 }6 i( T9 l1 T- ^& `
   [ask turtles
/ H, A2 }5 Y: [  [ visions ]]8 S7 l# C" \1 X/ o2 r6 s
  tick" }9 @- X" p* H2 U) p6 |; V0 {. h
  update-plots
7 q) x# {8 k3 \' K8 I# [# vend
& J5 w; T  E7 A3 Z) S$ d' Sto visions
2 |6 c8 n' f3 y2 @6 v+ g set vision vision + 1 " }+ c; X0 o) [! u7 V
end, u( U, Y; S3 M% h9 {0 T
: j! {1 F. g; q: G4 e3 f4 N0 Z

5 j; H- k  G& A
  s4 n) J' g: G) M6 F: G& g* Tto turn-towards-grain  ! I% j& K2 V- g7 v( v6 j' K9 x
  set heading 0
. n1 g- T/ S3 k6 `" [/ ^0 w  let best-direction 0! s  o. f3 \: G& S. i/ c) k. L
  let best-amount grain-ahead" A! @/ N4 r9 l6 n
  set heading 903 n0 V. ^2 b: U
  if (grain-ahead > best-amount)5 a% Q) [) f: n9 a; }+ \: I
    [ set best-direction 90% ]' b1 V1 i8 k8 r# V
      set best-amount grain-ahead ]& p% G- |# h7 [2 V4 p& a, |
  set heading 180- m% V9 P6 p& A0 _
  if (grain-ahead > best-amount)
/ m+ X7 a6 V) h, n+ v7 C. m    [ set best-direction 180) Q# M9 w5 p4 B& J, S) E
      set best-amount grain-ahead ]
' R9 W8 Z  A2 E$ x! y  set heading 270
) V7 n: @3 b) A' l( A- L  if (grain-ahead > best-amount)
8 R: R2 ?4 ], V" y4 \1 M5 M% Z+ a    [ set best-direction 270
/ D* J9 h! P6 O      set best-amount grain-ahead ]
: R9 z, v/ `" M/ g  set heading best-direction( i0 e) C) x" O& x3 T+ d
end
" n7 y6 ]* [" C7 p6 }2 I9 g- b2 q% j# \; r: @: h

2 r3 h. {# x' l8 }* c2 q& o$ J+ Bto-report grain-ahead  
9 p* \* Z" x. P4 w) t$ \  let total 0
( @3 _6 Z' x/ E8 O  let how-far 1
, f  S0 m* G/ P+ O  V  repeat vision, x$ H# V- A) H( v
    [ set total total + [grain-here] of patch-ahead how-far
: f9 K0 V) b' i) Z. w; d      set how-far how-far + 1 ]
( Z4 o& T& }4 w  report total. }( _. h. ?$ Z) G# }5 S) \$ j, m- M
end
7 O  L+ v* B8 {6 Q  [- U+ ]; T4 q2 Y! m) X+ z, v4 ]
to grow-grain ( Q4 G, H9 r2 W+ d  c- \3 E6 K9 V
  if (grain-here < max-grain-here)+ J# f9 Y* [( N3 V3 {4 `7 g
    [ set grain-here grain-here + num-grain-grown
4 B9 M! [$ U. z) L+ C- Z" Y      if (grain-here > max-grain-here)
7 y4 N+ z3 s& l! h1 U/ O. D        [ set grain-here max-grain-here ]
8 o' m+ k" ^2 [* Z6 w# c' n      recolor-patch ]: s0 f. n& Y# g9 C6 D
end
0 ]4 i* `2 s. T1 Z2 @; R6 N2 {" Y( Ato harvest
5 m7 w2 [* m* S: c  ask turtles
( q' Z; k7 n4 }    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]) l; U4 ]) A& J1 o/ _  a
  ask turtles* N; ~7 X0 `  G& N4 H) f4 \
    [ set grain-here 0: L6 I+ Z+ C/ T& m5 s9 m
      recolor-patch ]
( t7 a1 S! ?- y# U  2 n2 G2 Q# J& E
end
+ V0 S9 y9 q- h) @* O8 s  d9 @4 s3 y1 c5 H4 A7 n, x+ e
to move-eat-age-die  " X9 H! ?" t% a. U1 i; T$ K
  fd 1) x) p7 F/ J9 x& k
  set wealth (wealth - metabolism)# S  a  f" l4 l+ G) {* j
    set age (age + 1)
7 ^9 |% ^5 ^2 m/ F, U. a  if (age >= life-expectancy)* E) d, ]6 w4 m, Y9 Y
    [ set-initial-turtle-vars-age ]
3 i7 D& R( z* v9 g. q" F: J  if (wealth < 0). E' [+ \0 J, T2 [/ f% }/ Q# a
    [ set-initial-turtle-vars-wealth ]
1 H7 B" y' g" ~, p    % b  t, D% {) P) S
end( q! X1 @: J6 q4 V. s
8 V; r- ^1 p# ~  R. U
6 o8 u5 C0 i+ I9 i  ]: l: _
to setup-plots
* F" |+ Q) X$ |1 I  set-current-plot "Class Plot"& A0 W$ q+ [% |' S# c1 _
  set-plot-y-range 0 num-people
% T7 F3 U- _9 D% _  set-current-plot "Class Histogram"# v/ ^9 _; Z4 Z% L; P
  set-plot-y-range 0 num-people; e& f4 E: Y0 T9 u+ n# `' w
end( g! l/ `8 u( i* y# R
* W0 Y& q/ ?( p
to update-plots" q5 a+ F# u' a5 Q' I/ _% y
  update-class-plot- O- S; `: x$ m* s
  update-class-histogram% y) q! I' G. Q& w- t9 t3 M: K
  update-lorenz-and-gini-plots
* ]0 j8 O- M9 Tend/ M2 z4 k2 a7 ^9 D% o
' Z- E. C, B0 |7 u+ I9 ~( u% D; _
to update-class-plot
1 N2 Z1 M3 L! g/ C+ H; u/ Z; M  set-current-plot "Class Plot"
. J  {; S& a- J  E8 Q( C. R, p  set-current-plot-pen "low"
4 @" b! @5 x. d  h7 w) b: w; ]  plot count turtles with [color = red]$ c. Z. I6 N9 R3 n& d
  set-current-plot-pen "mid"
$ I9 D2 [. z: v1 R1 c7 ]7 N: q  plot count turtles with [color = yellow]4 N  C3 p: A/ X+ i6 U
  set-current-plot-pen "up"2 I6 J8 ^2 h8 W2 r7 D
  plot count turtles with [color = green]
& V: U: V4 ?: [8 R/ I) T8 oend
( u& [6 X4 S  v6 {- c/ g* q4 k* n  p6 |/ L+ s; h3 N! c# S. v
to update-class-histogram% T! V$ |. ~$ J5 Q
  set-current-plot "Class Histogram"& ~! o$ j" s! K) N
  plot-pen-reset
: G* w3 [! o9 K  set-plot-pen-color red
3 d9 N. g6 d: i1 k7 g2 ?  plot count turtles with [color = red]
8 f2 d! Y2 B3 t, I3 j9 ~  set-plot-pen-color yellow
# ~& Y) }! r) u  plot count turtles with [color = yellow]
9 a2 m. @/ S' y. b8 u% X  set-plot-pen-color green' {- ~$ T, N3 E
  plot count turtles with [color = green]
; N3 d& k  |1 O9 V1 U) [end
# ?# g3 B5 t- n& ]7 ?' }to update-lorenz-and-gini-plots6 b0 G9 S/ |' s/ n+ J- q2 Q8 X
  set-current-plot "Lorenz Curve"4 O$ _" i2 @5 j# ]
  clear-plot
9 Q9 E0 X5 \- E7 J3 V0 N
4 z3 S, J6 q3 y+ _9 l, b1 P* ]" x! [. B  set-current-plot-pen "equal"9 Q4 V  N5 G, F
  plot 0( V7 C6 c3 ?) k3 }# H
  plot 100
/ A# x$ P! }( X( ~
. z; O: J" C7 ~; _' U8 s2 @9 p  set-current-plot-pen "lorenz"
! F- Y* D# S1 K1 I9 |  set-plot-pen-interval 100 / num-people. ^7 J4 v  n: K$ L* M  l. C# z! @
  plot 07 k' p# Q7 \  a
4 k% u5 h# E' N+ m4 ?2 E5 x. |
  let sorted-wealths sort [wealth] of turtles! k' g. j/ H$ J" u  _% z
  let total-wealth sum sorted-wealths% B9 x& |0 o0 l, V2 D
  let wealth-sum-so-far 04 ^2 J5 u0 \, K
  let index 0
# S, m6 g: g7 I1 q  let gini-index-reserve 0
$ @* f6 W) h5 x( V6 g, F6 E
" [" \. F* c* B1 @  repeat num-people [) [7 _0 J" \# E" B' b2 `  v
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
' k3 C' Q1 f, R    plot (wealth-sum-so-far / total-wealth) * 100
1 R( T: n0 g9 t# \, d) G2 q    set index (index + 1)
" d5 N5 Q1 O8 A$ W/ M) p6 o    set gini-index-reserve
5 p, f( w0 Q/ T      gini-index-reserve +# G1 W+ y; q* {+ e
      (index / num-people) -
6 {  W) W7 g! }  C9 M2 j" }      (wealth-sum-so-far / total-wealth)
7 W" h3 z# w: G: V9 y7 I  C  ]% J9 s6 e+ @' S: I+ ?7 W
1 h, i5 v, S7 ^
  set-current-plot "Gini-Index v. Time"5 e8 r# x; K6 S3 ]
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
+ T, U3 M6 T/ Q8 }0 n' A- aend
* d8 t; Z) L% Y8 o# ito-report area-of-equality-triangle
6 d$ c/ D7 q0 r/ I; y' i: `9 |, G  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)4 z% Z) R9 m) h" Z' p- Z
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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