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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& F- G8 O5 S8 n! m& [
globals
0 J' [+ m1 N# d- o/ V4 s  _$ [[& Y' S( N0 ?7 ^) `, Q9 P, `( K* t
  max-grain    * {! \. i& H" z  p1 l7 @6 F# Q

6 {2 k; N/ v0 R2 d. z: ]]
0 @6 \2 Y' ^4 A9 m) P: _& `  o. R3 J! _
patches-own
1 D) F% a5 Y  A# y7 p[9 F* |$ [6 c" Z  m: n' ~$ H3 n2 X
  grain-here        n5 @1 H0 [/ R" V9 T6 N
  max-grain-here  ( D* _  ~. n2 x! z: p5 l
], K  X0 X# x' x6 d9 l
+ S4 Y+ K9 }' o( {; s0 f( K* {
turtles-own
2 n1 v7 Z; {8 Q/ j# w! X- i  \  ~[
8 C. f/ a3 I  d7 d  n3 |  age              ! ]; }3 z/ H# V& d. @8 o
  wealth         " F3 i# b+ p7 D/ r; F
  life-expectancy  , J" g9 O. v- I! H
  metabolism      
  ?. X# H% O$ Q8 h  vision: I0 H8 v, q+ z# }
  inherited         $ `# ~9 a$ _1 R* ^
]
& a1 b1 f6 Q! I0 [, N+ L
* m8 C4 ~5 |+ i  V9 K* \
0 j1 V; H! }' {# O% k2 R' Ato setup
5 Z4 b9 S' j9 ~, M  ca1 u, g5 y' l+ ~4 K/ u
  set max-grain 50) P5 z% O' f3 [
  setup-patches
9 T! p2 c/ j4 A# W8 p' ~5 i  setup-turtles8 ~/ R" S( J! k% U
  setup-plots
& b2 H# D! T; V, M7 L& N  update-plots$ a, I( O0 C8 L6 ?2 f8 e
end8 o3 }, z: p' E0 N
to setup-patches
- G, c* I: E9 m5 X/ J2 H  ask patches
3 ~/ W* E: W' H/ m4 l! t# ^9 i    [ set max-grain-here 0! l+ J4 r- r! O8 w* M' g
      if (random-float 100.0) <= percent-best-land: @2 }' `- C8 w; r& ^
        [ set max-grain-here max-grain1 N) \4 @1 x+ {$ s
          set grain-here max-grain-here ] ]) Y9 m3 l4 B% i$ O
  repeat 5
2 J2 Z+ C! n6 j3 O    [ ask patches with [max-grain-here != 0]
6 `4 i. c5 V( A0 O  T        [ set grain-here max-grain-here ]
5 @3 t) u( G3 V, k2 s3 L5 s      diffuse grain-here 0.5 ]. p: t9 }2 T" w. P$ h2 H5 j
  repeat 10! Y5 ?+ v3 A2 ]# |$ u$ n
    [ diffuse grain-here 0.5]          % ]  t" ]8 M2 t; d" @* u
  ask patches* }( U8 x6 q% K3 L6 w/ ^! ?* x" ]
    [ set grain-here floor grain-here    0 L2 b* z) Y. _
      set max-grain-here grain-here      
% B, a% E3 D6 B/ L' L' p      recolor-patch ]1 `% z" K$ @9 ~+ l% n9 ~3 e1 }
end
0 m7 S3 q. M& l% Tto recolor-patch  + r$ q  F- i) W5 l- Y2 d& z9 y
  set pcolor scale-color sky grain-here 0 max-grain+ h, P  h( H7 W7 c4 ?6 U. t5 l$ Q
end/ }0 F* E2 }  T- w8 S, `
to setup-turtles' j  ]4 v0 [3 C; w
  set-default-shape turtles "person"
+ f/ j; E0 y$ e6 v; g7 u& M  crt num-people
7 F/ |. {+ G  S" p7 X) K( J    [ move-to one-of patches  
+ H4 {) O% n1 ^7 f8 Q3 K7 w7 o* A      set size 1.5  3 Q% o. ]+ a6 R3 v6 p3 b* F2 E
      set-initial-turtle-vars-age0 r7 g: o; `2 \8 ]  B+ w( y
      set-initial-turtle-vars-wealth
: T2 {0 j- e  \* A6 u& n8 Q, }/ I6 ]      set age random life-expectancy ]2 W, x! @5 a8 s
  recolor-turtles1 B. i% d2 c% T- j7 l/ R( h9 p/ b
end8 _+ h& E; i8 D# R+ L5 a$ F

1 [, c3 r# J  D. sto set-initial-turtle-vars-age
' W9 M/ h) o  {, U let max-wealth max [wealth] of turtles- f9 J1 k- e& |5 |4 T
   
9 B: T# e* G! B, r" k) z& x     ifelse (wealth <= max-wealth / 3)0 Y7 O: \$ ^) f# ~" m1 y8 ^
        [ set color red , V3 k4 o( R2 C6 S9 h7 ]
          set age 0
" ~# K; v' _- @* f          face one-of neighbors4
7 ?! \. u* }+ @  \% N) R          set life-expectancy life-expectancy-min +
5 U3 c7 P$ k) z$ }                        random life-expectancy-max
) h, Y1 _$ ]/ F, L          set metabolism random 1 + metabolism-low
7 w) _. u3 E1 U0 w  C" C          set wealth metabolism + random 309 T" w- u$ g3 |+ b
          set vision 1 + random max-vision
+ R$ x6 P; m; W# _             set wealth  wealth +  Wealth-inherited-low ]
3 O5 g$ Q0 m7 D& n$ l) X! ~        [ ifelse (wealth <= (max-wealth * 2 / 3))8 t: H$ b' F" f, x$ Y3 g: [, ~
            [ set color yellow - T9 U( X7 a. o# s, {4 e
              set age 0
0 d7 ]2 B" f/ k0 m9 R2 I              face one-of neighbors4
$ ]2 Q7 C& d0 B8 z9 g' X" w              set life-expectancy life-expectancy-min +
  @1 c5 C8 o* z                        random life-expectancy-max + 1, n2 F4 y! N; {2 ^
              set metabolism  1 + random metabolism-mid
1 t" z; t5 N0 E6 ~              set wealth metabolism + random 30
; H$ g  Q) r, z              set vision 3 + random max-vision, g9 C4 E+ k& ]
                set wealth  wealth + Wealth-inherited-mid]7 e% E( e9 a' b0 F6 D& J. `
            [ set color green
! ^2 U/ I+ z+ E0 X5 R) i              set age 0
* {) `( y; [/ f5 ~+ g% J5 C              face one-of neighbors4
: j  u9 w( y0 B5 f& w9 E6 S' Y              set life-expectancy life-expectancy-min +0 j; K+ U+ W+ k0 [9 p5 m% b
                        random life-expectancy-max  + 2  g( q  V8 s8 T, _2 A$ S
              set metabolism 2 + random metabolism-up
2 @  ^, D& ^: C1 t2 R* Y4 ^              set wealth metabolism + random 30
" G: G* T2 p3 O8 L              set vision 3 + random max-vision- D8 W( i- p5 j0 ?+ Q3 I
              set wealth  wealth + Wealth-inherited-up ] ] 4 I" v" {5 U/ |' |% Q! i
- b9 j! U  E8 B  n* e; \4 T6 `
end! W8 E. _" R9 m8 e, E" o7 Y
to set-initial-turtle-vars-wealth3 \0 O8 y: p1 l. x3 c* D8 W9 G2 @
let max-wealth max [wealth] of turtles
6 p7 A# ~( N5 h: G  G          set age 0' r, u+ t9 U4 a7 C1 |
          face one-of neighbors4 4 `* q# n: i9 d3 e/ f6 P/ {$ u
          set life-expectancy life-expectancy-min +
# m# D) r9 E) x9 C                        random life-expectancy-max % E' z$ A0 Z/ w3 G
          set metabolism 1 + random metabolism-up  N8 \7 M  o: G) C( z6 A8 J
          set wealth metabolism + random 30
7 G7 W/ }/ W4 n" d          set vision 1 + random max-vision 6 c' [' o: Z5 ~, P" R
end
- K8 b  m6 H- B& j( s& o8 J5 a) Fto redistribution; i! A6 n  Y* D# K0 f, c. Q3 ]; M
let max-wealth max [wealth] of turtles
5 H5 H0 j1 u/ i5 N& ~) W; z4 {let min-wealth min [wealth] of turtles- J$ k8 g; Y3 F& ^. f2 D1 U+ R
if (wealth <= max-wealth / 3)
/ C$ |0 V  c  O8 x [set wealth  wealth + Low-income-protection ]
6 |& q0 H  V% I" m% ~end
' T# j2 n( c9 E7 {: Y7 r5 F% t. Q7 N          ! Z+ ]5 f( D  v2 G% A6 t2 {
to recolor-turtles
) [2 @" p; k1 U# ?4 j+ ~* P  let max-wealth max [wealth] of turtles
' G6 r/ Y, o* j6 O  ask turtles1 _9 A2 J- x5 r3 q9 S+ o" Z
   [ ifelse (wealth <= max-wealth / 3)
% \4 d& K8 r) l1 {4 w        [ set color red ]5 ?$ C8 D+ W5 C) f
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" k4 M; o5 B) ?; B+ q            [ set color yellow ]
3 _  d& ^7 X, y            [ set color green ] ] ]
0 j0 c% H& a2 \2 E$ O2 \9 _ ask turtles [ifelse show-wealth?8 C7 i! {3 I+ m0 x% ~
    [ set label wealth ]! X7 H& S: ]% U% i9 q! P* B# T
    [ set label "" ]]
. I/ m( T, Z$ @, F& F0 g: r) W5 ~end" M, Z, r* N0 P7 N
  B& k- u& Y; J, J" j) x6 m
to go6 j* @9 a; o9 h) A7 o* Z% P, f2 n
  ask turtles
6 Q- {( K- {" M5 v. ^4 q    [ turn-towards-grain ]  
6 V0 C) ?$ J* E& g- N; m  harvest
& P+ R- `% H8 W* R5 P  ask turtles
# z: @- ], k* |    [ move-eat-age-die ]
6 ?/ J' C( e+ b& Z- c! c  recolor-turtles& D+ I0 I0 ]0 s7 \5 q, R5 A
  if ticks mod grain-growth-interval = 02 u5 b; d' T; J/ x' x$ N+ ~
    [ ask patches [ grow-grain ] ]
7 Z3 m- ^7 `' O, ?* b   # f8 x: k+ Z% @) M' v3 c
  if ticks mod 11 = 0& m/ @; J$ U/ P/ I0 }
  [ask turtles
5 r1 l( }- g% l: U* s  [ redistribution ]]- j1 E% [% B. m7 Q" F4 c
  if ticks mod 5 = 0& s& o5 n& I* `0 M6 {% a
   [ask turtles* E1 `5 O( @5 ~: I. h# T" o- T# E
  [ visions ]]
  ]) x9 O0 y$ q  tick$ |. b( i0 k! C
  update-plots
- `1 ~) g8 k, @- _end
5 _+ B8 f- L. Y# \to visions2 F% a+ W' N. w/ D' K* \8 f2 K( ]
set vision vision + 1 ; b; X7 l. Z% L) P. t
end
! v- i  U0 N2 I1 R* ~% H, G; w! `0 a6 j( y( Y0 m$ a: ~* G
. I. P5 g' v3 M# _( ~# [) v* q9 X

, H* X7 M6 d0 U  H' R6 x% _to turn-towards-grain  
, i5 M8 W+ p( z5 P  L3 @1 p  set heading 0
" l. r  k1 Y2 J" c- {8 U. b7 l+ t  let best-direction 0
$ K2 B$ ]2 k! S  x  let best-amount grain-ahead
) d/ w- r/ S2 e% o# r  set heading 904 L8 \4 `# C7 Z. d) b& V+ H" _
  if (grain-ahead > best-amount)
) u0 D7 q$ ]" M; ~5 F8 T% L- C# P    [ set best-direction 90
/ F& f2 p- o" D+ i0 g1 U5 [      set best-amount grain-ahead ]  j5 m% ~( F, s& x/ f
  set heading 180
- [# q1 U- O2 D" z! {1 Z! g  if (grain-ahead > best-amount)
3 D$ @1 q7 L6 W- s( u# e* z    [ set best-direction 180  l' z+ |9 M% \4 x; O
      set best-amount grain-ahead ]
+ p$ A- y5 X+ Y& ]2 P8 ~! M  set heading 270
4 Y% U( N) [$ {7 x' P1 v8 a  if (grain-ahead > best-amount)
' f8 G+ f# [8 ~( u0 w. W0 o% m: n) _    [ set best-direction 2702 Q, ?6 g1 Y% ?+ i! W; t
      set best-amount grain-ahead ]% P7 m4 i" b$ L: z
  set heading best-direction
+ b9 E% `( N6 s7 |end
0 ~2 R$ G# y% s( w; B& O& s
: c0 \7 z5 ^: l
& M1 e4 N! p; H$ {# o0 k+ j/ [to-report grain-ahead  " |  m/ N. ]3 [
  let total 0
+ G3 t# @8 |: o  let how-far 1
3 s/ n! T' k/ u% V  repeat vision4 B9 w3 h8 Z6 w9 r: R
    [ set total total + [grain-here] of patch-ahead how-far
, J- Y3 @/ m) g$ x: R      set how-far how-far + 1 ]: d- w* `+ ?' ~3 |1 D9 r, M+ q5 T  N
  report total
) ~9 ]8 `2 _! c. c1 |) |# lend
  `+ W1 e' w! A4 d. e  a. \7 a: P$ B! n' v
to grow-grain
( f: j/ L/ G- E% q! d4 |  if (grain-here < max-grain-here)( \) e4 W# N6 K- f$ L, ^4 Z8 H
    [ set grain-here grain-here + num-grain-grown% ?2 I$ _5 \4 Q$ h5 h1 _
      if (grain-here > max-grain-here)
' x' O4 w. ?; Q5 g! `        [ set grain-here max-grain-here ]
) [0 j. G( X2 T  K* R+ d: J/ W$ T      recolor-patch ]
9 W: @7 Y- B) f. D" F/ B; Pend
# j8 J* J9 ?: ~- j* ?! z: Z) Kto harvest7 e; n& p' C7 a
  ask turtles7 w/ O) E0 e8 l5 ~/ c( U* H
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
! e! Z6 d9 T. `# q- N& }  ask turtles1 w) }4 a& A. D6 s$ }
    [ set grain-here 0! @: \1 @) t/ _* u9 k1 [
      recolor-patch ]
2 w* Y' U2 |9 s; |& O  
9 C% j/ S# T1 Q1 C, U( w- aend
* i- R* V* n% v$ U  A& P& u- k. X* k' R  ^/ r% T6 n. ]5 ~# A
to move-eat-age-die  8 @; V) k1 F8 ^7 h- e
  fd 1
% S  \) k. |# E* A$ k  set wealth (wealth - metabolism)
1 d" @" J! S/ C9 e4 U  U    set age (age + 1)
( K3 J) v7 ^" f) G3 A% I  if (age >= life-expectancy), K" s3 _# t" j8 G0 u4 z& I+ n
    [ set-initial-turtle-vars-age ]3 H9 {& e9 ^# b* M
  if (wealth < 0)
8 I6 A$ O, Z# G* B4 x  J* F    [ set-initial-turtle-vars-wealth ]
& f+ z1 `1 V) d8 k* L5 J/ D: v6 Q    ; L" A. T- |* u$ W  k
end( H+ l* M/ a, T3 U$ j

3 k# T9 f6 \) X& @0 ^, R8 M) ]& T. [9 _
to setup-plots
' y9 b9 Q3 j2 U; F0 s% z  set-current-plot "Class Plot"0 y5 H6 d0 D8 V5 \
  set-plot-y-range 0 num-people
! t9 ^' s) b  t  set-current-plot "Class Histogram"
$ m( u+ f; o/ R0 V- {  set-plot-y-range 0 num-people% h2 A. [. H  J3 S
end) X5 E* }" j& `- _
2 z5 f# Q% r" O) G3 R
to update-plots
; T! W% N) d5 C. c' s' l. P  update-class-plot
4 X' U+ ~7 C  L4 J  O& f- G  update-class-histogram
% Q6 v: }3 u. G1 H  update-lorenz-and-gini-plots
7 n3 C9 C, u+ G- j9 L! E1 ?end
4 v7 `0 G8 R+ A; m4 C  j5 ?/ a0 T6 e$ G7 |2 j5 {" u! Q; p$ R$ @
to update-class-plot2 h# }2 E; l9 b6 j: P
  set-current-plot "Class Plot"
% `1 p& h% L' s; C/ V1 N  set-current-plot-pen "low"3 `" |( [# v3 j2 G
  plot count turtles with [color = red]2 D. |- w  B; ?3 f
  set-current-plot-pen "mid"
% L7 q5 S) K+ ]1 O+ V  plot count turtles with [color = yellow]
) c! a2 L& _. v% j  set-current-plot-pen "up"! j0 {6 e, J" K
  plot count turtles with [color = green]7 ^: R6 v# D  r8 i! w
end6 [* j4 j0 e  P8 [, m

- b- d6 o: g! L, h3 p/ a& xto update-class-histogram9 g* |! F1 N! r9 x5 ]2 o
  set-current-plot "Class Histogram"
; K$ s8 g$ x; W! `6 ^. E& H  plot-pen-reset
# T$ d1 w0 I6 ^8 @# f  set-plot-pen-color red
+ H) k0 W! x( G  plot count turtles with [color = red]. N( G! [7 v$ Q( e
  set-plot-pen-color yellow
2 j0 s5 K' F* s4 q" @2 i4 U( {. q  plot count turtles with [color = yellow]$ Q- L4 n0 t" C( V
  set-plot-pen-color green1 `, H) U+ c6 L
  plot count turtles with [color = green]' c* C1 `: V! m- r
end9 ^1 U" i8 B/ b) D# ^
to update-lorenz-and-gini-plots% X, E! e( D* |- B9 U1 A
  set-current-plot "Lorenz Curve", d) m; P. `& o3 ^9 |
  clear-plot3 D6 N. ^& C- L/ O# d: e9 i5 S5 U

9 |7 r, X9 }$ ], D- K+ B  set-current-plot-pen "equal"1 T! S& P3 i- z( Z* j% _5 M- U8 O
  plot 0
5 h' a5 j9 D+ J7 y  plot 100$ X3 H! V3 \: C4 l% `+ q

( R9 \8 ]* D2 z* A9 S  set-current-plot-pen "lorenz"0 N+ U4 a  Y; n1 a  ^
  set-plot-pen-interval 100 / num-people7 n  r: ]5 B& g# B3 O6 c
  plot 0& P  k% J* c! A$ r
& ]! F) R2 }0 h, i8 v: [1 l0 o
  let sorted-wealths sort [wealth] of turtles  r  g9 Y/ l- W2 A2 Q( D) m
  let total-wealth sum sorted-wealths
$ n% z+ d0 ^2 i* ^  let wealth-sum-so-far 0
; U, M) n  G% C  ^" e3 Y, j2 m- ^  let index 07 r3 N# Y9 |2 e/ l! a( j! E% J) V7 ?
  let gini-index-reserve 0: p+ _) W) Y2 D

( j: Y- L/ i" q( P5 V  repeat num-people [
9 n; y6 J# l" `    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
# z3 t* {' k! ^. n/ K    plot (wealth-sum-so-far / total-wealth) * 100& u5 K' \2 k& m; K: H1 ~: Z/ U2 L
    set index (index + 1)
6 h* p7 j6 O: B1 i- ?1 F$ Y! G    set gini-index-reserve  v1 _$ \0 v& C
      gini-index-reserve +
. n& T% s' i) J# X- m0 J      (index / num-people) -
/ o# d+ {' f+ ?, w4 k* {! I      (wealth-sum-so-far / total-wealth)
3 J: l3 P7 F6 O5 v' d  ]
7 b5 M2 ^; y6 @& v/ i5 `' j" X
  set-current-plot "Gini-Index v. Time"+ S4 o* K# E; `& X% Z. [
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
, z7 `: s# q4 K  Cend: P' j" p9 j  g" [- M& ^7 V& Y# i' D
to-report area-of-equality-triangle/ Y3 S* Z* B1 t$ |0 H" D+ |
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)+ q9 l' H; N; B+ G5 R
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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