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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 T1 U3 a: M6 R) G, w/ h
globals- u7 O' }1 |; {/ e5 Y0 t. [' @
[6 R: }  d+ [2 C3 Q1 U
  max-grain    , N) W  `! i- L  t0 W" G

' L) m4 L0 {# N+ Z5 []7 \% K4 p& b  C9 m* l5 y/ l

# E7 Y9 p7 o% e/ M1 v( kpatches-own0 {+ {/ o( T+ Q6 c4 ?
[) a! Q8 @0 C) Y+ |% Y6 H- Z$ r
  grain-here      
9 M5 {" {' C& G( \/ N  max-grain-here  
* J5 F% Y/ e+ S3 p]
# h# d( p3 X0 ?2 g5 {; l2 G: B' z! \4 {, _* C# Z$ V
turtles-own
  K# q3 q$ R+ H* u3 u8 s[
) \% N* P( ?8 W4 _3 G! x  age              / a9 y, n3 X/ E0 g/ x$ _5 \
  wealth         
0 t% {  r" E" |* p  life-expectancy    j, O2 P; G8 D3 g; T3 d) `
  metabolism       ' ^# ^; i$ d+ N$ L
  vision9 f% S. S  {2 c2 [, X; D% t4 s+ n
  inherited         ( J  }- T: e  n' e/ i  C
]
' r* [. @. a7 t3 V6 a: }- ~3 a2 T% f) K; W- y

+ U+ A# a9 H/ f, hto setup
0 [3 j1 ~0 q: R% Z$ \  ca
: V4 e$ O4 t! v/ M( C  set max-grain 50
# q: k! V1 j; S) _  setup-patches" y: S5 q6 E" S( I
  setup-turtles
: J: Q. k8 T# @  setup-plots/ g# H+ r8 o& x  B7 l
  update-plots
& _  @8 l- f, o5 ^) wend! a, ?% x: ~% i/ H3 q5 C
to setup-patches
& z2 q9 N5 R2 M  ask patches0 j+ P) P. k" C% Q+ |4 X2 I
    [ set max-grain-here 0
" b: d$ l$ L/ a1 g6 E6 p      if (random-float 100.0) <= percent-best-land' P, u% T- D6 o+ ?  k/ v# Y
        [ set max-grain-here max-grain3 w! ?  n' V. f6 d
          set grain-here max-grain-here ] ]( ?0 Q/ E* V3 T; L$ K
  repeat 5) ]) P) h6 e, R9 v  l/ l
    [ ask patches with [max-grain-here != 0]
! }/ P1 A  j/ X- C' t. G! a        [ set grain-here max-grain-here ]  \1 g* r# r0 n2 o$ N
      diffuse grain-here 0.5 ]
) W7 k4 t* o$ k3 b! ^! c  repeat 10+ F1 m: s/ _! n! t
    [ diffuse grain-here 0.5]          6 O: E- u8 C4 g$ z
  ask patches
# N* \$ `0 b4 S7 W) h+ z' \    [ set grain-here floor grain-here   
4 P' A' o+ F0 D8 c' I      set max-grain-here grain-here      
$ W- S# ?) g/ }5 S      recolor-patch ]& b7 u; Z) N4 V* E
end% d) H( C' f: k; q$ _7 A( q
to recolor-patch  % K6 E) [2 y3 }! F
  set pcolor scale-color sky grain-here 0 max-grain2 y- ?7 k) v+ r
end
( e3 [: q" |' L9 I7 Uto setup-turtles
; r' B1 _7 k) H2 D' k; X' _  set-default-shape turtles "person"
  |6 t* ]2 H3 V  crt num-people2 a9 T# z9 Z& `' T% V/ _- m
    [ move-to one-of patches  ' `8 a) e/ }  H) _/ e7 t( s
      set size 1.5  
. t1 l$ L0 C. X1 V% v, ?      set-initial-turtle-vars-age
3 H# j$ @* `6 ]: U      set-initial-turtle-vars-wealth
5 X6 x. T% t! s+ q. j6 W      set age random life-expectancy ]
9 Y- P3 M* @  d& c+ T4 }  recolor-turtles
3 z2 r0 F5 k4 c: pend
! _( B5 S, B" b
( \) F% f  R3 }3 dto set-initial-turtle-vars-age2 v9 N8 N3 X/ R! h+ G, @; r) ~2 X+ ?
let max-wealth max [wealth] of turtles
! ]( M; y' N8 u( B$ K1 m6 {    ; J% N6 |+ S! e+ G2 y: u  L
     ifelse (wealth <= max-wealth / 3), Z# O/ L  r$ }& K* B
        [ set color red 9 Q: C4 |2 E5 J( G
          set age 0
6 K( Z+ j" o% \- c# R7 A          face one-of neighbors4
' Q3 R% U$ |! ]  A8 D0 d          set life-expectancy life-expectancy-min +3 B% w8 @6 Z. c4 p2 A, Y
                        random life-expectancy-max 4 w4 x9 ^2 Z) }9 O( I+ R' q. u
          set metabolism random 1 + metabolism-low
$ e) ^, a9 |; J- W2 F          set wealth metabolism + random 30
: X) y8 h# u; @4 \( Q; |* J          set vision 1 + random max-vision! }! V2 c, {9 ~2 U1 J& I; m
             set wealth  wealth +  Wealth-inherited-low ]
9 T+ E1 a% \; S# q( E        [ ifelse (wealth <= (max-wealth * 2 / 3))0 V6 o  c* w" ]7 G! U6 Z
            [ set color yellow
: J  r: r. F/ h$ c; S* P              set age 0
5 r& k3 B7 t0 f. A! f              face one-of neighbors4
+ o3 ]0 _' o" z9 E. p& w  G% z              set life-expectancy life-expectancy-min +8 t9 \2 X9 h3 u4 h6 \  Z  g$ c! [$ ?
                        random life-expectancy-max + 1
- r/ U. F) ~0 q: h1 B% \( a              set metabolism  1 + random metabolism-mid% o* W+ U4 p8 r! m2 ~
              set wealth metabolism + random 308 V. u6 p1 f7 S) F7 d
              set vision 3 + random max-vision
, \8 `# K3 z0 D, p! I8 W+ R, x                set wealth  wealth + Wealth-inherited-mid]
+ p, }/ t/ W5 D* L9 k            [ set color green / L8 D  |- }& ~* x! _
              set age 0
9 e- h2 A. c( E' l              face one-of neighbors4
& B2 o9 n8 m4 {4 \" m9 t" G$ f              set life-expectancy life-expectancy-min +
" [! G* g9 ]0 V2 {7 @2 ^2 @5 v                        random life-expectancy-max  + 2
1 y  J6 a4 V; B" D9 Q( A! s* Q2 T              set metabolism 2 + random metabolism-up
& g$ M! N3 w! x9 g# J/ z; ?& _              set wealth metabolism + random 30( f, h2 _( m7 S* s
              set vision 3 + random max-vision
* K' c9 l# T; C' W9 M, L: S              set wealth  wealth + Wealth-inherited-up ] ]
& f6 C# H! s) i% p4 a7 N7 A * q! C6 d  G' \8 m" s4 ^- [
end& Q! l1 w$ P; ?# O& x' U
to set-initial-turtle-vars-wealth
0 k: w. B! f5 r: o3 J let max-wealth max [wealth] of turtles1 J( K4 h% d% U0 w, T& `
          set age 0. b6 p: e# \/ U8 V% X
          face one-of neighbors4
+ k5 h) d/ ]7 u% V, M          set life-expectancy life-expectancy-min +3 m1 _2 d) F. _8 X4 }1 Y
                        random life-expectancy-max
+ r) d/ ^. @( \$ J! u( i) F, J0 e          set metabolism 1 + random metabolism-up
; ^! j6 z1 C' @) H6 u          set wealth metabolism + random 30
+ k# v2 B# O$ I          set vision 1 + random max-vision
. |5 w3 y( g9 M" U( Lend# W0 P" u5 |# ]/ X9 G; P2 {' e4 T
to redistribution% H) D- X0 R4 r# y! V8 [9 ^! V; W5 q; Y
let max-wealth max [wealth] of turtles6 j. _1 E* H8 V/ u, c
let min-wealth min [wealth] of turtles
8 c) d9 u  B0 [# m) Sif (wealth <= max-wealth / 3)0 P: {+ E% b2 K2 {/ w
[set wealth  wealth + Low-income-protection ]
  ]! Y+ z6 F, z4 eend' U+ j+ v4 x  L" _5 w  }. \7 z
         
$ e+ F+ p' q4 {" fto recolor-turtles
: O  }# d+ x6 V# V5 c  let max-wealth max [wealth] of turtles
; ^* q3 G2 L, O- v* A' a  ask turtles
( a! ^0 `" W' v7 g! T3 W* l   [ ifelse (wealth <= max-wealth / 3)8 T& f# R/ E0 E/ ~: [
        [ set color red ]
5 [5 X9 i) ^" U: Z. h        [ ifelse (wealth <= (max-wealth * 2 / 3))' V% ~" f3 b, H1 |$ K5 ~0 R) W# k
            [ set color yellow ]5 A$ s# b3 M; X( V# c2 C
            [ set color green ] ] ]
8 J& q4 s7 j) H2 K ask turtles [ifelse show-wealth?
/ d. [: t5 C/ e& }    [ set label wealth ]+ @( K3 T( H6 K0 w
    [ set label "" ]]
# D. y0 n/ l7 c- Rend7 l8 a# R* |2 _
; T* j; \, o! R' q* @' p
to go
- L% F- \% s; i3 i  ask turtles  z/ h2 U, A' d  M. }
    [ turn-towards-grain ]  * S0 _$ Q2 E3 x7 W
  harvest
6 O% e9 P  @8 ^: p8 O4 A' q3 Q  ask turtles1 T4 C( j3 L( X" I( a$ m
    [ move-eat-age-die ]
. S( _4 O& Z# l+ {  recolor-turtles
9 J1 _& o& Y1 C# C6 N  if ticks mod grain-growth-interval = 0
6 d9 V* I7 {: Z5 e+ q, y# }/ A    [ ask patches [ grow-grain ] ]
5 |4 y3 a0 E' w1 h- k   3 A: @: f0 L7 r8 c" l9 _* ^
  if ticks mod 11 = 03 [6 p: s( _, v: W" N, g& k* ~) W; u* B
  [ask turtles
7 `* N) t6 {; g  [ redistribution ]]
8 O9 b7 ?# U; _/ v' F  if ticks mod 5 = 0
+ I6 U8 {+ n) b" u* h. U   [ask turtles' E  e8 W9 {% B8 K) X, C
  [ visions ]]+ e5 M" ^' S' a; k) _
  tick* Z. T- m( g( ?
  update-plots
+ q" h0 w: h4 {0 j. N3 yend1 [- c7 R  i, t4 w' V
to visions
1 B. J1 b. }9 d0 Y" ?! Q+ g set vision vision + 1 9 n! e' s* {  z6 i, i+ e; _7 @  @6 }
end+ j$ c5 T/ V, k* Q
1 J8 j7 l+ a: }* c

& g0 K0 X+ G& r4 U3 w' o0 v) q; i$ W0 c# x3 |9 \$ U1 S
to turn-towards-grain  
2 n: ]6 d( x0 t+ x- j9 A. x  set heading 00 ~: \  Z. I. Q7 |% n
  let best-direction 0
1 W" R: a1 p8 m; Q( U" T  let best-amount grain-ahead3 r$ d; z+ ~$ E6 e4 r
  set heading 909 [- j1 P) s5 s8 {) m9 f2 T, h
  if (grain-ahead > best-amount)
' ^3 z2 N: h- H6 @    [ set best-direction 90/ M# p3 H: k0 ~5 J2 {3 z0 Y9 Q* y7 n- x
      set best-amount grain-ahead ]# d7 W- K4 i" {8 C' n
  set heading 1805 v+ _/ A" W) E8 _
  if (grain-ahead > best-amount)
, E; s& }5 M; K4 c* s0 [    [ set best-direction 180# e0 U# H" N4 G7 N# Y
      set best-amount grain-ahead ]( o6 N4 U+ i7 i  `
  set heading 270! I3 s" f1 y5 m' L
  if (grain-ahead > best-amount)3 f: l" T) \: m& s, g. t
    [ set best-direction 270* R! Q6 D7 r4 [/ w) K
      set best-amount grain-ahead ]
- v2 W7 S7 L6 O# [0 M* V9 H& F% }  set heading best-direction
0 J, [) k9 O5 Y$ w6 \: _/ R8 B1 @( j. yend7 K' D0 Q4 U7 ~0 i
  G8 R2 z* @) W8 L& h1 n

- I3 z/ M; g( c6 [: r( Mto-report grain-ahead  
! B: b- [$ _/ G3 `" Z  let total 05 t& G: _6 }6 V. v4 ]# p' |9 C, l
  let how-far 1
' s" _! A& I! m! g4 h3 L  repeat vision
& ?6 l0 l$ \) c) s" L5 T' N! N    [ set total total + [grain-here] of patch-ahead how-far! U% \6 v4 \& g) M) O8 r: ^
      set how-far how-far + 1 ]
1 V$ \( T7 x: f' J) Y* n4 i. x- x  report total
  t( I; O: A: @. w: T7 Send
( n7 Q7 @# a) ]  \+ @' D) d0 c. Q$ J/ \
to grow-grain 8 H5 K  |5 D2 Y' O* l4 c" ^2 l, A
  if (grain-here < max-grain-here). a% W. \' l" V& ]! t/ |+ m
    [ set grain-here grain-here + num-grain-grown6 s3 ~3 v0 A+ H8 `* R; o( x# P% H
      if (grain-here > max-grain-here) " j+ P- x0 v8 w! _5 t' r# `
        [ set grain-here max-grain-here ]
& A, U! [4 R2 B5 \9 q% H      recolor-patch ]
4 h1 V* s" p* F6 N" @! \3 jend# V$ u8 I4 c# f" z7 d
to harvest# ?, F0 J: a$ U1 U! P6 e- \
  ask turtles- X6 Y( a3 n, I
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ h- ?: Q' C0 D
  ask turtles" k" M2 n. D% Y4 C5 E  O4 }9 l
    [ set grain-here 0. d9 }9 [, g, @# F( W% R# b
      recolor-patch ]* a4 F$ ?& Z/ o1 X  Q% f& Y
  
1 }5 x  y( g9 z0 yend
, K: e$ D: U: {- {* ?1 c0 `% {- b8 t: S6 j. x0 w
to move-eat-age-die  
% a7 i' M( @2 X  fd 1  o- Z& r! D# Z
  set wealth (wealth - metabolism)
0 f* S2 x2 K  i, g9 u, R; S* n0 W( _    set age (age + 1)
3 |! S# @% T: m  X2 L) o  if (age >= life-expectancy)1 y7 r$ ?# D1 ^8 A; {$ o- L8 t2 P0 C# `
    [ set-initial-turtle-vars-age ]
* a5 D4 O2 o6 L) B  if (wealth < 0)1 ?/ P2 Y% K% \2 g9 c; q+ N" ?6 t
    [ set-initial-turtle-vars-wealth ]. D: J; E. c' h4 O  e
   
5 x* ~6 ?! D( I) X+ b, V$ cend
/ O9 Y+ i: K* ?1 k6 G' T0 F7 E2 I) u/ n4 N+ c9 |
) [( b; O, {7 U5 f: e+ ~, d( T1 M
to setup-plots
  p7 w# j" ]0 p8 r: V  set-current-plot "Class Plot"
/ p: K7 \# P0 L9 ^! W/ @  set-plot-y-range 0 num-people: g9 R* T: ]1 P0 X/ N2 C
  set-current-plot "Class Histogram". ]7 _- G8 w7 r2 z; c$ x, w2 M
  set-plot-y-range 0 num-people7 o$ h! P; C+ g8 J: Y/ D$ Y: N$ k
end
1 g5 N- t" C' s$ E! E% ~& h
1 x" f: q4 ]  D' z+ K! q3 Oto update-plots
6 E; W! A/ S0 o5 A. }# N9 ^: f  update-class-plot
. A, D. r) L# U( m8 i  update-class-histogram
4 D+ Z+ b4 [. {* |. T! |: N" S  update-lorenz-and-gini-plots
, C9 G9 X4 B, D3 D) c: B, Yend- e! U) j( b4 K! E

  c0 Q2 ?+ C6 [to update-class-plot( h# u! n' H1 C) A0 e6 l$ r" A
  set-current-plot "Class Plot"- ?7 y' G3 g$ d* o# Y+ F% Z
  set-current-plot-pen "low"
% h) N/ n3 S* p/ A  plot count turtles with [color = red]  q/ O3 R! {! q& Y3 U
  set-current-plot-pen "mid"8 S( s9 T7 U  Y% O; d! M( u( v
  plot count turtles with [color = yellow]. c9 _" y/ G- H, v
  set-current-plot-pen "up"
# e. f4 }, O/ M+ O' J5 V: c& a  plot count turtles with [color = green]: h+ o! Y9 [" I3 Q! R
end* J; v6 w6 m  i2 a
7 O( J0 e7 p- |  r- ?$ B( j& J
to update-class-histogram6 @" l1 C+ p+ m8 b
  set-current-plot "Class Histogram"' Y1 k" l2 T3 y) a8 q* d
  plot-pen-reset# U' U" B! H) b' k
  set-plot-pen-color red( Q% d' g2 o- T3 s1 _
  plot count turtles with [color = red]
% V& {" m7 u7 _; h* p  set-plot-pen-color yellow
8 w* _, E/ y+ T9 a5 C* i$ \  plot count turtles with [color = yellow]+ Z6 h0 k$ T4 _$ C% S
  set-plot-pen-color green
- w5 n% j  L8 x6 g7 b  _' O+ T  plot count turtles with [color = green]7 Y7 b7 j+ p# t1 f( z/ W
end9 [0 c7 l, ]: r  ?
to update-lorenz-and-gini-plots( w5 W( s- N3 N9 Q* g8 N# n7 b4 |: b
  set-current-plot "Lorenz Curve"
( u4 s+ }, }0 m, f  clear-plot
; L, C% V7 n' P; G! [( ^% `& @2 e) G5 w' w& U2 V1 C
  set-current-plot-pen "equal"
5 h( W6 E- a- r+ @: \$ f% C) y# u  plot 00 `4 b0 E5 H, O* `* u. \0 f
  plot 100
: a4 V1 q9 x+ v9 \7 |) V
4 M* p& g- t8 Q. J  set-current-plot-pen "lorenz"- E# O* S4 w  Z
  set-plot-pen-interval 100 / num-people
& L  ?: ~' E2 }' ]) ?  plot 0
/ S; M! Z4 l0 S* C
7 [& E' R. r  ^* V6 A$ \  let sorted-wealths sort [wealth] of turtles
0 v' l: Q4 p0 G4 C7 |  let total-wealth sum sorted-wealths
7 ?1 G5 W$ i4 x  ]& a# q- S) Q  let wealth-sum-so-far 0* T' U- i0 J! L, Z0 V5 A
  let index 0
3 n' p5 \4 u% Q; y  let gini-index-reserve 0
1 M6 J& ^2 ]+ o! a0 v$ R% P  g; }6 h
  repeat num-people [5 P' C- M' V: ^1 \; m0 Z- E$ a
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)" Y6 W0 d. K% E" n- H, k
    plot (wealth-sum-so-far / total-wealth) * 1004 }, w+ ~' m$ k8 v/ ^. s
    set index (index + 1)( N1 P9 e" Q% g0 L! g- w9 ?8 ~
    set gini-index-reserve
9 |0 F& k) s+ a4 [& m/ {; k      gini-index-reserve +
& Y! ^. k4 I6 O7 c      (index / num-people) -+ h5 e" r, s8 K- ~5 X
      (wealth-sum-so-far / total-wealth)
. {) s# [8 I- S: ^; [6 ]1 i9 m  ]
1 O9 {9 [; e' n6 K. U
' h" H! ?9 C/ e& c. r1 z  set-current-plot "Gini-Index v. Time"' T) z8 ^& ]2 h' x
  plot (gini-index-reserve / num-people) / area-of-equality-triangle; n; M; q7 E3 |/ ^0 |
end
( b3 y% C# L3 H, O+ J1 Mto-report area-of-equality-triangle2 |4 B. W# {6 {+ u( F7 l0 B" u
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2). a* I2 K, s+ w0 ?
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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