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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
" ~. L4 _# V* _3 n, H% Aglobals5 C$ m# v" h1 o" ?& ]' O7 I, M- q
[7 u" n/ i1 g3 t% j, h# h
  max-grain    ! ?  T( |( b3 a  q7 e- @* \

# {6 E/ j2 f! u/ @" T# v# w' []. J6 U* L; \5 V6 x7 h! S

+ O/ H: F0 @  z3 f0 upatches-own
/ h3 n+ I3 j: _3 }" e$ O[
6 l- [4 m5 S/ j1 V( j% `2 F  grain-here      8 F% {* e3 \" c
  max-grain-here  
) ?; h# |9 N! G8 P% d1 o]" f+ A1 G$ j0 R+ ^6 m: y7 V- U" L
3 N5 {7 Q0 q* A  L( [. D% n! h
turtles-own
& k5 g# _3 t' n[
( j+ j) ]8 L! S5 _  x+ l$ _% Z  age              ; I% y6 P) k/ \- |4 A
  wealth         
. l" K7 e+ |9 V  r. {  life-expectancy  
$ U* M4 I' }6 `9 p! G' {  metabolism       0 ^7 c; L/ B" z+ c% w% W* r8 i
  vision
% R9 ^7 }8 K7 u: f' j+ y! g  inherited         
" ?% T4 O9 j9 z1 B' P/ {; q& P]( \: z' W5 n! i- i1 p

5 R$ u  G( \1 B$ j3 j" c
* h. a+ L* z" w6 ato setup, h% W7 E( \' ~1 h& s/ @/ ?
  ca
, S" I) c1 v+ z( Z3 h  set max-grain 50
5 k" l) I4 y8 J* Z& e8 M! U4 p  setup-patches9 c% W) j. K: {2 y- E' I1 n- D
  setup-turtles. _0 x, C. a& u& F9 H4 K
  setup-plots! i4 U! G; ?0 Y0 H# X, h
  update-plots
; u/ F- W# }  Gend" Q( K6 a$ c3 }: W4 x0 b. J9 u; o7 `
to setup-patches" m5 Q- D2 ?. Y+ F5 `8 L1 C/ N
  ask patches( N, k' Z- }" k9 D# L
    [ set max-grain-here 0
' O9 t( T- j+ S0 s, @: U! x      if (random-float 100.0) <= percent-best-land
6 v% Y# }9 B$ N        [ set max-grain-here max-grain
/ S3 t1 d4 a% `, z; _: d  `8 S          set grain-here max-grain-here ] ]
& K6 C8 v* k* R  repeat 5( I1 _, ^2 A" E5 n, V; L! V) ~
    [ ask patches with [max-grain-here != 0]
- W! ~# W) a' e/ E6 _* t! w- Q& [0 z        [ set grain-here max-grain-here ]3 Q% j. [0 `* V; b+ q
      diffuse grain-here 0.5 ]+ ~# D% f  G- v8 A2 l
  repeat 10/ L3 \( `' [6 b: X/ _( m; T/ E
    [ diffuse grain-here 0.5]         
0 }2 U3 D: r- X7 p  ask patches
0 a& N- H$ K: x$ d+ ~    [ set grain-here floor grain-here   
9 M8 P, U% C% Y. V1 e      set max-grain-here grain-here      * X/ d" i' Z7 z* m1 K
      recolor-patch ]  R2 N% c) y6 e
end
( y1 \8 F, a* J: |6 eto recolor-patch  
; e. A2 Z& D8 f5 H6 @7 Q& F2 m2 m  set pcolor scale-color sky grain-here 0 max-grain
: y* P: ~: n9 }6 Jend' K% C, d3 t9 d3 ]+ c
to setup-turtles
( g8 @+ S. l! L- j* n# T  set-default-shape turtles "person"5 p, k+ j3 L. N8 _$ y# V
  crt num-people. |* v* f6 z: U  ?2 ?
    [ move-to one-of patches  
7 }6 N) N. N9 T5 i      set size 1.5    O- B1 o( D8 s1 |) L
      set-initial-turtle-vars-age% O+ Q4 H" J+ U* h6 q2 @+ I
      set-initial-turtle-vars-wealth2 e  a/ ?1 L  }4 J
      set age random life-expectancy ]
5 c& }* i5 O' L2 g  recolor-turtles
8 X! x8 K1 T( a+ K" @; n- T! Uend- v1 {% g& U) ^+ s* I
" t$ P5 c% `2 q) Q; l5 l, S
to set-initial-turtle-vars-age
+ O; `5 P/ e3 n9 G* N+ R let max-wealth max [wealth] of turtles
9 K* `0 a! {" L9 \1 X0 b    2 M# Y: D* @( R! p" ~" s. b
     ifelse (wealth <= max-wealth / 3); b$ l7 U2 {# ~$ z; t  m
        [ set color red 3 t  q3 H: q6 G  ?/ b! Q3 a
          set age 0  I; b2 _( Y# Y4 K6 Q% |& L; `
          face one-of neighbors4 2 F8 s: X) o* Z9 ^3 l' k" p7 X
          set life-expectancy life-expectancy-min +, B+ I# a# ?( K, x3 }2 Y! y1 b
                        random life-expectancy-max
# V. {; K7 P: u' O' G9 e4 |          set metabolism random 1 + metabolism-low4 z4 \# v" d. {4 i* q6 N
          set wealth metabolism + random 30' t5 H1 O. Y2 @% y1 O
          set vision 1 + random max-vision# x/ {4 ^- u& o: F  G1 s! e6 ~& ^
             set wealth  wealth +  Wealth-inherited-low ]6 S  f5 K6 L9 L& x+ ]
        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 c, x. H1 H& Y, U            [ set color yellow
' f- Q, o1 a0 |6 p, q$ ?              set age 0( v  n) y7 W% h9 W( f
              face one-of neighbors4
  t9 s* E% Z7 f& L              set life-expectancy life-expectancy-min +
7 {; a5 q) ^$ {0 `* k7 T4 X0 }                        random life-expectancy-max + 1% w( `" J, W6 [& V5 u* g6 J1 U
              set metabolism  1 + random metabolism-mid3 W7 U" H+ P" u' p6 T. ^
              set wealth metabolism + random 30
) x7 p; ^9 r6 r8 J5 S              set vision 3 + random max-vision) t- v, Z4 K8 ^
                set wealth  wealth + Wealth-inherited-mid]) P& r. [) [/ G. t/ S7 r& }
            [ set color green
  I5 s6 f) J1 v  M) l              set age 0& v* s5 X6 U  z
              face one-of neighbors4
+ X; Y. M5 ~* W! j9 E$ u              set life-expectancy life-expectancy-min +* q+ e6 n6 ?/ M! H" Z8 _% {4 u2 Z- d
                        random life-expectancy-max  + 2
! y: }: l% M  _: Z              set metabolism 2 + random metabolism-up1 e1 q$ H: L2 z7 l- Z
              set wealth metabolism + random 305 G6 t+ T$ U! R8 F3 p
              set vision 3 + random max-vision, {$ h8 g' e" B; s1 K8 V
              set wealth  wealth + Wealth-inherited-up ] ]
+ \6 O; [3 z/ a$ N% G1 S! Z2 U
9 Q  A0 N" `; Q8 w7 a/ Aend
+ G+ s  O5 ]$ T, u1 _5 `3 }to set-initial-turtle-vars-wealth; a* P) b- k. F% {* J1 R4 a& o
let max-wealth max [wealth] of turtles
+ O* A# l) }. ^          set age 0
1 B: U7 |; q0 b, P7 d$ U/ V0 _          face one-of neighbors4 9 A5 ~# Q  i. t
          set life-expectancy life-expectancy-min +
% o9 o/ R, ]. k& Y                        random life-expectancy-max + Y! ]/ g; q0 `* x/ }7 u3 A, ^. E' L
          set metabolism 1 + random metabolism-up
) ?4 M( P" B$ K* k: W          set wealth metabolism + random 30! [8 {! |, G9 C
          set vision 1 + random max-vision / N2 E- Q. Z$ o6 u2 G
end
& I- Y: G& K  Fto redistribution
) B( I  [/ Z8 Q' \let max-wealth max [wealth] of turtles* ?. S& o: T$ u
let min-wealth min [wealth] of turtles
8 l& b6 B1 z3 jif (wealth <= max-wealth / 3)# S& |7 [; n- m0 w, D3 m+ c/ H
[set wealth  wealth + Low-income-protection ]) I1 }+ n: ?$ a- B( _7 V0 o
end
* m' B6 @/ x9 |6 w* ]% O         
& k, W0 T& }" q! xto recolor-turtles
; [3 [8 ]8 _5 G; [7 }2 I/ ?" v7 |0 r  let max-wealth max [wealth] of turtles# h5 m$ e) k* I6 [2 V; P
  ask turtles( n6 e! ~5 b. B
   [ ifelse (wealth <= max-wealth / 3)
6 m0 M7 g( I1 h* {  u        [ set color red ]( M* T9 J. d: r7 ?" P
        [ ifelse (wealth <= (max-wealth * 2 / 3))1 f; Z8 H. U% f
            [ set color yellow ]
" ^* C" g& J, v  @2 E/ H! h- ]            [ set color green ] ] ]+ V$ f: r( A0 V$ S& m# `" L9 m
ask turtles [ifelse show-wealth?
% L+ h9 U' S4 v# ?% M1 L- I1 X    [ set label wealth ]
2 E- r4 J9 g* N    [ set label "" ]]5 i1 ^1 T, @* H3 P. A; O
end: p! c" W1 X4 T

7 ?$ p/ H! Z: l2 A% fto go
! Z- T# ?/ z, ^; N  ask turtles$ {5 E: W. Q' s* V0 v. B4 i+ d
    [ turn-towards-grain ]  , b( @# Q) {" ^" s  G
  harvest. f, n8 O7 j) P% ^, ]7 a
  ask turtles* D% b- |. P5 `7 R1 o6 h
    [ move-eat-age-die ]
9 \. S7 H1 m! J1 Q: L  recolor-turtles
  U2 `( Q8 _' g  B2 |; d( y* N  if ticks mod grain-growth-interval = 0
% u. k  P/ Q3 q5 C# r& k8 D+ r. k; Z    [ ask patches [ grow-grain ] ]
& t; |. s5 O5 ~! y5 q   " A3 o  q8 J+ D' i: i
  if ticks mod 11 = 0
& l4 O0 t6 T, v& U2 q. N  [ask turtles
  Z8 H4 K/ g; S' W8 p  [ redistribution ]]" ]8 ]0 H% G8 S; b0 B8 [( n6 p! N
  if ticks mod 5 = 0
/ k  }) j2 o7 }   [ask turtles
! J$ m) K- N& b2 E. c' v+ g  [ visions ]]
6 t( T' r8 T: p$ ?4 p" P5 o  tick* z3 l4 B' R" r
  update-plots6 y* R6 e1 e. @( _* |
end; }2 ]/ b9 P3 L% R) i# {
to visions' e* W+ V3 _% r7 m% ?2 p* ~( m+ c
set vision vision + 1
$ G2 r) N: \5 R* V4 Send! A( j" \8 P6 y: L5 [( e' m
+ \1 U/ J5 l0 x* x! c7 j
' l9 {& J# U1 m$ l! v, q: w

" u. U  R: F7 b7 s) z5 e- o2 ?7 qto turn-towards-grain  5 G) a- O3 q8 z4 l0 m
  set heading 0/ l! X' I. C! {; G, W
  let best-direction 0
. Q8 X4 Z4 p/ i( S, V8 j  let best-amount grain-ahead0 z/ D" N/ n$ W
  set heading 90
1 n" g/ F% R/ D! m2 {: K/ m  if (grain-ahead > best-amount)4 f3 s+ F  V6 S; G" U* D0 s- i
    [ set best-direction 90
; |/ s2 q$ J  U$ K      set best-amount grain-ahead ]! h/ r6 H6 u2 b( ]
  set heading 180' O) s2 r) v+ m4 p- W6 V
  if (grain-ahead > best-amount)% R2 G5 m5 h2 X( C
    [ set best-direction 180
" [. L3 Y7 ?+ a      set best-amount grain-ahead ]
4 f3 V7 `. M( e! `  set heading 270/ b, s# A# z7 g+ R$ E; K$ c
  if (grain-ahead > best-amount)
! n% \# e/ F- }% f2 }' z  h    [ set best-direction 270/ L9 g* E, d; h8 a
      set best-amount grain-ahead ]
' G( C" B$ `- C% O  set heading best-direction
& ?" |% V# p8 D" l" g5 pend
( R9 o+ q8 A2 F! y: d2 `# L/ J2 O0 }% m. y
4 z' @3 w- y7 w6 y8 L
to-report grain-ahead  ! z& ?4 e) Q8 V8 a, l3 S
  let total 0
1 `$ c; g. c# e) G  let how-far 1. T6 b* L  w! r0 p  v0 ~0 o
  repeat vision+ j/ ~, l3 R) {8 I& |  p  r# y7 v
    [ set total total + [grain-here] of patch-ahead how-far; F6 j, ~& }+ u0 [
      set how-far how-far + 1 ]
1 C/ g3 G; D0 ^& g! u/ b  report total
9 j8 r5 g1 C; q. F! @2 K% Vend; T& ]# @9 h8 F1 N/ f% r
# [6 M6 Z' _/ u8 g- N
to grow-grain   W9 L* R4 E% ^- k: [+ L
  if (grain-here < max-grain-here)1 p9 E& m) V1 i$ T. l. `2 E
    [ set grain-here grain-here + num-grain-grown
1 _: p$ M$ N4 W1 a  V      if (grain-here > max-grain-here)
( j3 H6 P+ t1 o/ `- k+ y1 f        [ set grain-here max-grain-here ]+ V8 L0 P0 V6 n/ P
      recolor-patch ]
2 b0 |4 i$ }2 r, M" |1 R7 \end, u- w2 m% t! f; j- H4 D) G) y9 ^& C
to harvest) j/ W% C# n* [! I4 Z
  ask turtles- @% z/ d: S' F
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
  `/ N+ k2 X( ~2 f/ i- h% ~5 F4 o  ask turtles
6 l6 Q& |% i0 G4 b! N    [ set grain-here 0& u" O3 G) N8 p' T0 I
      recolor-patch ]6 z  Z, b3 d/ x! k; O
  
1 z: A9 T! B7 m) T* oend
% ~! j3 \' b' p; `: |( E9 f7 K5 O5 R* a4 B$ ]0 n
to move-eat-age-die  1 p% B8 E8 G9 E
  fd 1- ?! E5 ^/ x. j5 b0 g  u
  set wealth (wealth - metabolism)
; X. I9 x; _- V    set age (age + 1)/ `0 N: J+ L0 K  P! ?
  if (age >= life-expectancy)
- g! @) u+ ]4 J; N! w0 A4 B    [ set-initial-turtle-vars-age ]& F$ K$ U3 [4 y; ]
  if (wealth < 0)2 J- m+ M: i7 L# C  _
    [ set-initial-turtle-vars-wealth ]
4 K5 D. O' |' A; u    7 _* T/ Q6 r2 T' c( d/ S+ e
end4 G8 B0 U  u+ T
7 g! c8 J; _; s4 f2 E
" {" S4 z. @: K/ ^5 I- p$ x8 m
to setup-plots! ]. Z9 x/ V0 I
  set-current-plot "Class Plot"
" l( ~$ T: D( Y/ V$ A  set-plot-y-range 0 num-people
2 l% y2 U( ]5 |  set-current-plot "Class Histogram"* o) v0 X- w/ j  t- F
  set-plot-y-range 0 num-people! M* p4 T  b7 ?. C6 L
end
; o3 Q$ R* k; b) _
5 ~1 G, _+ u6 E* g# C1 tto update-plots
& j, L* O3 [* G; I' Z  update-class-plot
/ ^; T0 {6 p: h, I$ T; V: B  update-class-histogram
8 i0 h( W, l, ]  update-lorenz-and-gini-plots5 U+ K+ l8 N3 Q: \& ?
end4 }, A2 z# O8 [& i+ e; g& _% o2 ~

5 ~, L4 @' y# J- U9 \: |' h6 tto update-class-plot
: \$ a! ?0 @! [" j) j  set-current-plot "Class Plot"9 y4 T. i+ @/ T& F3 n6 H
  set-current-plot-pen "low"
) a- h7 N" A: b* n/ W  plot count turtles with [color = red]
, }4 i. M- D* O6 N7 V$ G" e  set-current-plot-pen "mid"- x+ a' K& X6 p8 K, j  z) {' J2 ^: t
  plot count turtles with [color = yellow]
7 a9 E4 E+ u$ t, w, s3 q9 f  set-current-plot-pen "up"
$ ]8 l( w% D/ Z- n% G  plot count turtles with [color = green]
9 ^6 @; `. y! D$ W0 F7 Gend7 {) a7 H. W. D% Y9 B
/ \  i2 A: V. p
to update-class-histogram2 I8 Z& O: C1 g+ @
  set-current-plot "Class Histogram"
2 \0 W: E7 b- n0 }6 F6 e8 q  plot-pen-reset" D' S7 t6 [8 G7 S
  set-plot-pen-color red
5 e7 t4 I& ?$ H! Z  plot count turtles with [color = red]! q2 u) s& u  ?- c- r
  set-plot-pen-color yellow5 H. i, w! n$ d8 }' P
  plot count turtles with [color = yellow]
5 ]2 Q; @* H( n1 c! k0 z  set-plot-pen-color green
5 Z2 l7 Q3 p* j- }4 s  plot count turtles with [color = green]
/ A% U5 V2 W- T! zend" E6 s+ z+ S8 N0 r" U5 D$ S9 G! l6 W0 q
to update-lorenz-and-gini-plots+ O# ^/ L( c6 q: |: c
  set-current-plot "Lorenz Curve"1 t$ K* g( c  X! M4 c
  clear-plot# g2 ]" r% x& E1 h

3 Y4 v& ]7 {  H9 n6 t  set-current-plot-pen "equal"
. W9 r8 `3 b2 |% i& w  plot 0
! ?7 [  X. R6 v% M5 |  plot 100
" W2 ^5 P* G$ l0 j9 x  U+ T7 }* B: a: b
  set-current-plot-pen "lorenz"
2 Q% r5 l" y  l- @  set-plot-pen-interval 100 / num-people
; }9 a5 U7 K* O" i  plot 0
: l, r$ i4 j6 f* Z) ?5 r: \2 [+ ^" g6 w2 t7 V) f
  let sorted-wealths sort [wealth] of turtles
! j  G: a: x) d2 q8 z, b  let total-wealth sum sorted-wealths
1 a# O$ N7 e' v% U  let wealth-sum-so-far 08 ?: I6 {5 x9 P1 J$ b
  let index 0
) E1 g. {6 ?: H' y4 G- u. H  let gini-index-reserve 0
! R! d# g. p9 _/ k( V  U1 P7 ^, _9 q5 }% N. b
  repeat num-people [
' j8 J3 ^2 |8 K+ `4 I/ x    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
/ A- h8 m8 m" z* L    plot (wealth-sum-so-far / total-wealth) * 100' i$ n! Q$ N4 c; F' G* R2 b
    set index (index + 1)
4 u1 D% X& F* g    set gini-index-reserve
8 j& V7 U$ O7 o( F      gini-index-reserve +. Q. r: `0 H2 L5 i  Y
      (index / num-people) -
; s( P4 J; f: r, E      (wealth-sum-so-far / total-wealth)# D8 m" j$ A* t
  ]
- Z+ Y. |; l& A1 q! ?; {1 M  h  g: A& L
  set-current-plot "Gini-Index v. Time": ]6 L( I  e% |9 S4 V* B% L$ h$ |
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 S/ g* I  \+ vend# d/ g" t) b; T0 [4 F4 ^2 H0 z
to-report area-of-equality-triangle# p! s. |+ b4 i
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2). d/ a9 }3 i- Z7 \
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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