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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
% X" \4 I' r4 b9 Jglobals
( J' n4 D. e1 E# p: O[
1 S/ Z+ o& F/ ?0 |, c6 [5 y  max-grain   
- g$ ]' d2 {* w  r+ j4 N$ F  w* c$ i, ]3 ]8 |9 E
]4 i0 r9 Z8 B" L: n, @2 `

) ^9 Q* G' l/ U9 Spatches-own3 o$ |4 c! G' ?* G
[
$ P* p  d7 C! p0 M* q  grain-here      " e7 U8 K+ g) p  p1 C
  max-grain-here  
2 |: l! ?( e( H/ D]
  F) m6 H# O- n. |- _" o8 |) C# a6 K# _# ]! M; ]
turtles-own* K& `  C7 ?$ x; c
[, p+ u+ K/ _/ g' t/ h: B0 m
  age                K# q/ j: v  G/ j8 l( [8 _
  wealth         
7 v& m% a- f% _' x) c1 D$ @- _2 p  life-expectancy  & |/ K2 J3 O3 q6 M4 n
  metabolism      
  R: b- _5 Y# a% m+ D) W+ }* V  vision
  u. r* r$ [! k8 |' G  inherited         
# p6 P% g$ J7 b0 f3 ]* d, J+ J& c]
9 ]% j( o& x% L& j% W0 Q7 V+ F8 O2 V6 _0 U; y& [: E

9 }6 f7 S2 @3 D1 k5 wto setup5 ]- z+ x8 x. t! Z# U8 b
  ca
2 P* c* U$ n# {, L4 c0 l, Y4 M# b  set max-grain 509 D. x: H4 P  D6 e$ t# z* n
  setup-patches" b: v2 U1 t! }4 @2 _
  setup-turtles
. l: }& t- n, V! |2 e" E  setup-plots9 e6 D- I3 r# `" s
  update-plots" k% N* w1 w2 i; J: Z
end
+ C  i& D% S( h, M6 l* o# {( eto setup-patches
5 z# G' U% s( G6 f, ^  ask patches
+ e$ `; o" r/ x0 o& A    [ set max-grain-here 0! U" \  Q9 J$ H* j+ ~: \
      if (random-float 100.0) <= percent-best-land
1 l3 o# z5 b# O3 V        [ set max-grain-here max-grain
: o( C# j& }7 U, f2 N& R          set grain-here max-grain-here ] ]
6 {: S: X# C6 }8 M: n% q  repeat 50 e4 W% Z' J  ~" R  q1 j
    [ ask patches with [max-grain-here != 0]! _  x5 |2 K* ]
        [ set grain-here max-grain-here ]
6 |, A8 e0 f3 i( K8 U! E      diffuse grain-here 0.5 ]; }5 w1 h0 S5 G3 [' B
  repeat 10' j8 R+ {! U1 J( ~& h
    [ diffuse grain-here 0.5]         
- b6 ^, {3 C( A, g6 s  ask patches
- S  i" I6 i  v    [ set grain-here floor grain-here   
7 E& f  P8 W% Z6 m6 N      set max-grain-here grain-here      
+ P/ q( Z" X9 D      recolor-patch ]& u1 x) o1 V+ Y# f2 k+ `& `1 M
end
9 Y* _+ L# O! Nto recolor-patch  
3 q- f! G; U* @+ e0 P4 q- n  set pcolor scale-color sky grain-here 0 max-grain
2 L3 f8 H. s$ f2 {  pend0 t7 i; {$ o% ^) z/ _
to setup-turtles
. B- p# W' K' c. i( V  set-default-shape turtles "person"
( w& Z2 Y/ U  r+ t  crt num-people
: {+ y3 C: `4 l; U2 W0 `    [ move-to one-of patches  + V9 i( p' C- Q& \9 Y" [
      set size 1.5  
8 P' d0 U0 d  q: _      set-initial-turtle-vars-age
0 W9 T6 \( |, Y  A/ V      set-initial-turtle-vars-wealth$ m* c. q7 V& g
      set age random life-expectancy ]3 c6 s+ _* A% d3 _0 |
  recolor-turtles
, u2 r) x* @& m& \9 jend
- z0 U6 w; \; V
1 N; E3 k: L& Q, x; ]* I  ?to set-initial-turtle-vars-age3 O( j+ f( {2 K  W  _
let max-wealth max [wealth] of turtles# O6 `* j1 z. C/ k( Q
      F0 G" t7 G; @+ Q/ e6 W5 j, D: b3 n
     ifelse (wealth <= max-wealth / 3); s+ u7 S$ Y  \& t
        [ set color red
, l" B* e' o5 d/ S          set age 0' m9 e% h3 u* f# {+ P! L7 v8 T' g2 r* B
          face one-of neighbors4 ! D1 F; S8 Y+ @! f
          set life-expectancy life-expectancy-min +( J/ c/ r- I* k7 y3 O! W
                        random life-expectancy-max ; I( y# v" P' @( y% O
          set metabolism random 1 + metabolism-low
2 M9 T/ ?2 ?* |1 ?$ k. B          set wealth metabolism + random 30
' c6 g" I+ ^3 {  K. D* q- D! R- Q8 n          set vision 1 + random max-vision
7 J) j" z* \0 @             set wealth  wealth +  Wealth-inherited-low ]
* {" Q' P! W# _: P5 |4 e: A        [ ifelse (wealth <= (max-wealth * 2 / 3))
  \- z1 y! o# k6 ~  ^" X; z0 x9 Z            [ set color yellow
2 t) P1 a6 H" X" c              set age 0
) G; C4 A5 v! [  X; S* d              face one-of neighbors4 0 V5 z0 H! V! R9 m( c0 F
              set life-expectancy life-expectancy-min +  b- R+ _; a8 K  W$ P. @( C
                        random life-expectancy-max + 1- G' |" P" r# ^6 \& k  _  ~
              set metabolism  1 + random metabolism-mid
2 G7 R3 o' a# K! d) B/ a. [& r              set wealth metabolism + random 30+ J0 S2 e* q4 u1 }3 n
              set vision 3 + random max-vision
5 d3 ?, _8 G$ M/ q: \! y+ M                set wealth  wealth + Wealth-inherited-mid]
( Y3 @3 h% y% a' f# i+ f4 G            [ set color green 9 ~. E: w8 [4 V" ]4 A- v+ Y
              set age 0
3 U; ~; b+ {) s5 O              face one-of neighbors4 , q8 T1 o# [8 V3 ?
              set life-expectancy life-expectancy-min +: `# W9 `- t. c8 `9 w4 a
                        random life-expectancy-max  + 2
3 q6 v% X% _8 w1 k              set metabolism 2 + random metabolism-up% }. t" ]9 X' D$ a  p: E
              set wealth metabolism + random 30
' t% b4 V+ P- J( `3 e3 A              set vision 3 + random max-vision
6 a4 U& M" |) ]7 u# P1 ^9 a& }              set wealth  wealth + Wealth-inherited-up ] ]
& t" s7 K5 K+ N1 {0 }
0 ?9 `6 W1 y3 ^end3 O4 \- L1 J# _1 G/ I1 \! \( s/ @
to set-initial-turtle-vars-wealth
0 U3 B! h' ~8 l- B1 \# U+ C let max-wealth max [wealth] of turtles
! K- b- \* J- V5 B7 \          set age 0
# ^4 t2 t; D' M' f. e( m          face one-of neighbors4 1 y$ s! `" m5 l
          set life-expectancy life-expectancy-min +9 l1 a5 N8 Q* `( F( m! Q! Y
                        random life-expectancy-max
* S" V# o, Z5 ?; o          set metabolism 1 + random metabolism-up- \; \7 S- S9 e4 N) b. F
          set wealth metabolism + random 30
+ V2 d8 b( i; a: Z- d7 g) F0 J          set vision 1 + random max-vision 3 f) c. L( _( S- |4 ^" D! Y
end/ o: K  s6 J2 O" s: K2 G1 C
to redistribution
, m( A% O9 A1 i% X7 g# q+ c3 t/ Clet max-wealth max [wealth] of turtles
; p8 ]6 y1 q- G& ?0 ulet min-wealth min [wealth] of turtles
( u# S. t7 T1 |3 Jif (wealth <= max-wealth / 3)
  [3 H$ B8 C1 c3 x+ S [set wealth  wealth + Low-income-protection ]
# v! C# @, |4 `  d/ n2 g" Bend
! j' b0 m+ v* y1 e0 J         
3 \4 F( a' W* Zto recolor-turtles  w# T+ _! o. L1 l% {$ f) \
  let max-wealth max [wealth] of turtles6 t! ?  U# x% p* k8 v
  ask turtles$ n9 i  Q9 _" @" E! `
   [ ifelse (wealth <= max-wealth / 3)
) B5 N' l& ?; m* q        [ set color red ]
  F* z' y/ H0 P0 f* _- ~        [ ifelse (wealth <= (max-wealth * 2 / 3)). L; f% t+ v0 P+ g0 g) N! c
            [ set color yellow ]" f; m: G6 Z: W( a# G. X1 i, U" O' x
            [ set color green ] ] ]
/ h  z7 o/ `" T' s, J: H9 x# k ask turtles [ifelse show-wealth?# j: e; E$ P) {$ L( a  @3 J) S0 |( g. ?
    [ set label wealth ]' Q2 K% p; p; {+ @6 S
    [ set label "" ]]; J- f4 j& w* H3 Y# Q& {
end+ m7 x8 N) U# I8 W+ f& {9 M

" y* D2 @4 g) B9 Z1 J0 u" ~7 ^& j# Q" x- yto go  j5 ^% @% {" m- c5 c
  ask turtles
( n  }- l" i4 d) w    [ turn-towards-grain ]  ; r/ m% J& g4 u' d" G& r; L
  harvest% ^5 S" n3 s3 b
  ask turtles
5 t; `; }- ]8 j: F" J% v& s4 q    [ move-eat-age-die ]; |# L! s3 l# S
  recolor-turtles
) @# Y( ~: H9 h/ P* ~  if ticks mod grain-growth-interval = 0
  d! T8 c( D  B; Z) C  b    [ ask patches [ grow-grain ] ]
+ s9 O) v6 ?; J7 T8 A8 K   1 x% D, y$ P0 V* `% H
  if ticks mod 11 = 0
) D  ~6 z* R9 e- Y" x5 z  [ask turtles1 U. w( M7 J( Z1 U
  [ redistribution ]]# E0 m/ i) E7 @& K  ^
  if ticks mod 5 = 0
3 v# w3 C( _0 |0 ?1 b4 o9 C. E; u   [ask turtles! z* O" A  Y. ]+ Y! {/ L, a
  [ visions ]]8 G6 @. U  L# u# `7 h8 }7 V& p: O
  tick/ h" Y% g6 k# I- L& V6 n
  update-plots
6 J% q7 y+ k! {# p2 I, s+ wend
' N8 Y) b. X. a+ C0 b1 Qto visions
/ r+ ~* X4 Q  Z, k set vision vision + 1
8 z1 x6 Y) O. n: `, Pend3 n5 _. f7 J8 V, _
5 _2 D+ G  {% T% \/ Z

6 G2 O5 w- q9 C7 h9 u+ r2 q8 F4 J$ x5 ^0 E2 C8 {1 G, J
to turn-towards-grain  
7 O  x8 f: p4 Z2 r) q  set heading 0  g6 `7 Z! j& \# n; L  x9 Q
  let best-direction 04 @1 Y0 h, `3 _) ]+ J) f% b! C' f! a
  let best-amount grain-ahead
! m% Y) b  w& {; _, l  set heading 90) p4 E0 _" m8 m9 b/ R" _
  if (grain-ahead > best-amount)/ X5 R+ I! }: O- F
    [ set best-direction 90  n- v- d! Z& o
      set best-amount grain-ahead ]" f! X! Y: f" `% \+ c' [7 m
  set heading 180
' ], p% A1 P/ E0 R  if (grain-ahead > best-amount)- |: K9 ^1 J0 t1 t, R
    [ set best-direction 1801 u" V5 e/ O) Z( I3 {% S" h
      set best-amount grain-ahead ]
2 G6 y1 e7 y$ f' t- }  set heading 270
( ], t7 Y  e3 |9 t8 q  if (grain-ahead > best-amount); ^# D) h# A6 n( X6 h" d1 G; W
    [ set best-direction 2706 _8 e0 r& S( u
      set best-amount grain-ahead ]
$ z! ]. n0 t' f8 U  set heading best-direction
% F+ s( J8 H8 [1 H4 R0 L' m; @end
. K! q3 q4 e5 N( e
; ?8 t. Z8 F/ a& c1 _( O5 S# n5 D; k; l/ d$ r# x; l
to-report grain-ahead  & w" c0 @! R: ?5 d( s7 u+ E' \1 [4 s
  let total 0
9 v9 Q% N5 S  j# R% v  let how-far 19 d) F1 ?/ M! r2 z* S
  repeat vision. V0 g8 }' _+ l) q) g  V
    [ set total total + [grain-here] of patch-ahead how-far
4 W/ I# Y; h2 m) J      set how-far how-far + 1 ]
% I; U; c# m$ O: z' Y' f* G6 D5 x  report total
3 U) o+ e6 X2 `" l$ c: X! B5 Bend) `" ?& C' T- ?" E# k3 U
! ]4 l: ?6 l+ E& A
to grow-grain ) i% F5 ^  ], d' |+ U( f$ D1 e9 P
  if (grain-here < max-grain-here)( H. {$ S+ x9 Y, [: X5 J
    [ set grain-here grain-here + num-grain-grown3 i# A/ w4 k9 m* ]0 r# D6 i0 j9 [
      if (grain-here > max-grain-here)
4 V' w0 t1 H5 l/ R# i        [ set grain-here max-grain-here ]4 h$ n* u! m" L
      recolor-patch ]+ n* Z# z9 L1 c
end
, G+ l& D& H0 Q, p# [. {) p( q6 gto harvest
# D; m( }8 e9 `& Z! ?  ask turtles- S% o0 v* N) N2 e' e( v
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
; U1 K! Z2 ^" ?* e5 C# c  ask turtles
( s; f2 A) p7 t% }/ ~9 y% r    [ set grain-here 0
+ J& h) A" x9 U: D" \2 D; ]) n7 a; c      recolor-patch ]4 G8 _( e/ L* A, n$ b1 h$ X& s
  , l9 Q* Q# m- b. f! z& B: i
end
5 q( e  q( T% b6 b  |: |  _: Q
0 }0 d! M2 c) ?, Oto move-eat-age-die  1 Y  t! h5 W  `" m7 q
  fd 1
* d1 C+ d3 P  J) G; i1 r# }  set wealth (wealth - metabolism)
$ S" L# L, D% H, T: x! W    set age (age + 1)* M9 L& F3 W" r* D' K
  if (age >= life-expectancy)
0 j6 K* P8 {: [1 i    [ set-initial-turtle-vars-age ]
* ?6 O# J  N: I' u% ]  U  if (wealth < 0)
7 j3 G! v- ]# G; q) ^    [ set-initial-turtle-vars-wealth ]
) n4 T" P% \+ M, S    3 @0 v! V" q/ k# x. U
end5 Q1 r: [- U4 j, x7 X
$ O5 @1 i- E9 Y+ {

" B  R# N4 ]" ^+ G+ q. n) _; sto setup-plots7 G0 P0 |9 w& D
  set-current-plot "Class Plot"2 m7 W% V8 s0 a8 ~, g/ d
  set-plot-y-range 0 num-people4 t6 O$ m. m: D5 `0 G6 o* F
  set-current-plot "Class Histogram"
, \& n9 t( m4 o( E1 f# s  set-plot-y-range 0 num-people8 l8 h1 V& n9 N+ u$ x
end
4 K; D8 L: o& H9 [! @. I+ |
$ j7 z1 U  a. f( Y8 L6 H: M! {' _+ t2 M( Hto update-plots
" e. Y5 a, M: o  update-class-plot8 H1 }$ q% i" @( Z( c+ [  i
  update-class-histogram
; Y2 x. l6 J* z9 J+ j8 R7 v- V  update-lorenz-and-gini-plots
% S) b# B  n" N4 Pend6 f3 w4 k# _( i. M+ p  B
  d5 g% ^$ i2 f5 d; T. y
to update-class-plot
+ @% I# m0 F, [! M5 G" j9 S  set-current-plot "Class Plot") {% o0 |7 k( |, B3 [* O
  set-current-plot-pen "low"% J: `, }: [3 q7 l2 l( N, q
  plot count turtles with [color = red]5 H0 b' T- L% r* L3 o+ G
  set-current-plot-pen "mid"
- D1 {% ]4 @1 s+ U0 s6 n  plot count turtles with [color = yellow]
3 x( O6 R* S6 ?( F$ N: F  @# h6 i  set-current-plot-pen "up", C8 C5 C( S! V# n- ]
  plot count turtles with [color = green]
4 |/ K4 Y; B* G5 Wend
  _+ G: }* G& p4 V# U& W9 W* m* ^6 q( ~( n& y2 f$ ^# |  V' q3 C
to update-class-histogram
4 R4 Q. F7 r" ~  set-current-plot "Class Histogram"
" k. V" m0 B% }  plot-pen-reset9 Q  l4 n. H! c# z* y" i" s9 C- y, `& A
  set-plot-pen-color red
& n7 ^* a& @1 j5 S' Q3 n; [0 Q  i  plot count turtles with [color = red]
( Y( ]0 \" p' r8 i4 ^$ z( f  set-plot-pen-color yellow" c6 A. v& ~3 N
  plot count turtles with [color = yellow]
  O3 s: R% ]5 g  set-plot-pen-color green
; X/ N! H" }0 Y: l# j. n, v  plot count turtles with [color = green]. V' x: u/ N$ f+ U% z0 `% v
end
7 [; k3 P7 A( H+ Q( O" z, Yto update-lorenz-and-gini-plots8 C& h8 P& }% F+ V8 Y
  set-current-plot "Lorenz Curve"' v8 {1 y) `; n3 G' S- A! Z
  clear-plot
( L0 Y! h* `  |$ _& d  `
1 T! c: \2 l. x& ~4 l; Y  set-current-plot-pen "equal") c6 d# \6 l( Y5 u$ e8 H& P: W
  plot 0
4 J5 m5 C9 z5 B/ Y' f! x* c  plot 100
7 J& o; @0 Z* B% ~: U; \) b% }; P6 l7 \- n( e
  set-current-plot-pen "lorenz"6 T9 @* E- R) W& f
  set-plot-pen-interval 100 / num-people
( u" E, G6 G0 \4 D. j  plot 0
" X; H1 I' v& A- @
& f1 Q/ h5 k$ X/ [! D$ b7 k  let sorted-wealths sort [wealth] of turtles4 q7 K4 t1 B+ b: z
  let total-wealth sum sorted-wealths' ~, K* x( E6 H' ]1 O/ d
  let wealth-sum-so-far 0; U3 x1 X$ @! m& f
  let index 0
6 I* @' d' t& B3 l/ v7 W  let gini-index-reserve 00 `# z0 \" G! J
# ~+ H! h  M- N, I1 s' i
  repeat num-people [
  t0 \) E; l  J$ V' c; l    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)3 c* ?1 }0 ]) p' |/ H  Y
    plot (wealth-sum-so-far / total-wealth) * 100
. r2 p5 i& w; I5 W1 L- Z' I! c. c    set index (index + 1)
# c" z( s! |) G' }3 @    set gini-index-reserve
# o3 C  Y6 b& K1 v* L      gini-index-reserve +
# y( H/ L- c8 ]! o6 j3 K) N      (index / num-people) -% }3 \( V  {' _4 d1 M! q- ]
      (wealth-sum-so-far / total-wealth)
% B) s3 J' R: F0 Y: T: O6 k9 f" L  ]
7 b' c* U( m3 D( g) [. d
2 d  S7 L2 `2 V1 H9 E9 z  set-current-plot "Gini-Index v. Time"
) i  w6 q& S. V& N8 k  i  plot (gini-index-reserve / num-people) / area-of-equality-triangle
! R: v' ]; j& ?. j) f9 K6 Lend- F1 q1 H, ^9 M0 y2 U6 g+ l
to-report area-of-equality-triangle
; x$ V4 I8 c; {2 \4 [" ?2 h6 J  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)) F* u1 A7 |9 u9 H$ @- X* T! b
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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