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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  S! l. V1 p9 x& |
globals& |' X  z% W. X  N  _2 z; U
[7 i+ w$ G) B. _  q
  max-grain    6 }! Y/ F+ n. \! O
- {9 U8 v7 h. I
]
/ Z3 o5 b, I. c0 Z* R( G
. Z2 |. `" D7 s+ }6 H4 s; ypatches-own
9 M+ ^" e2 Y3 v0 N8 k/ |" d- C/ s[
( p; f" L: ^; N" v' C  grain-here      
/ r4 d, F* f& @6 `6 X" G& b  max-grain-here  
7 X  g5 q9 S7 K, }' ~# L% U% {]
+ X* D; d" o3 S! ?% T2 x8 [/ V: K5 c) {% t2 c2 D5 K- w
turtles-own
4 _3 a5 W9 y7 n, v[, w8 g/ B4 |2 y0 M
  age              
, |9 }( {3 ]$ w9 o2 F" \  wealth         
9 v  U) z* K/ E  life-expectancy  # h) G/ Z' U' M1 F2 a+ S3 S
  metabolism       ' y  I; `! ^: d- g& T8 N% Z7 e
  vision' d) D# P/ o7 s
  inherited         
- T/ E/ e, ?5 U2 F7 L]9 z# @! b6 v! n

2 s; J( x3 Y- Q# c" D6 V% g/ ~7 M" V5 C6 L1 J
to setup
" B2 _/ X$ Q* n* ]  ca
( w& a1 y+ q/ L. q$ k  o4 F& [+ r  set max-grain 50' F0 e) a2 o; U
  setup-patches% c# H3 z* ^+ B7 J. s1 ]
  setup-turtles
8 d4 m* A& a$ i# B1 g  setup-plots
" Z; Y, Q5 e* s, B- _3 i1 }- S  update-plots
- ?0 g: W, I6 B1 \! P- Yend+ g8 F& @% g4 J+ ^9 y
to setup-patches
  b% F3 S( n: q4 F7 L  ask patches$ m5 s7 o* x  n; Z- ^' W
    [ set max-grain-here 0
- K6 N4 D/ m/ o1 \      if (random-float 100.0) <= percent-best-land
6 ]" L6 B4 h' K# v4 b  ], X9 Q        [ set max-grain-here max-grain& M  S2 b6 S4 w) U7 P
          set grain-here max-grain-here ] ]
5 T/ W% W: q/ a) U7 I3 ]2 O  repeat 51 [6 g2 A- c; ~* ^; A% `2 j$ o, H2 B
    [ ask patches with [max-grain-here != 0]" m6 q7 Y, P' y! f% l' g4 N
        [ set grain-here max-grain-here ]7 P7 G: K* W) o- w7 E( `4 l
      diffuse grain-here 0.5 ]
. c- G$ @: I9 j  repeat 10) x3 ]8 Q* T' Y- q) T% @4 U
    [ diffuse grain-here 0.5]          ! m% s/ ^+ v0 \# F* d
  ask patches. n% ?& p$ X0 i
    [ set grain-here floor grain-here    / N3 u- V, n% l* l$ {, Z% Q
      set max-grain-here grain-here      
1 P3 I5 i: _% M& o3 I      recolor-patch ]
; T, o$ ?0 g8 K# ]# i% O2 D/ c1 Xend6 _% V% G7 m; I$ c0 M
to recolor-patch  & D# `# d# o: g* A  E3 E
  set pcolor scale-color sky grain-here 0 max-grain" L0 ]: Z, r# d
end1 b* g" o. U1 |/ _' V2 z- z
to setup-turtles
! K4 D6 Y0 o% Z6 I2 C2 m, x  set-default-shape turtles "person"# G6 \+ o, @" @8 F
  crt num-people, E8 X$ v) j5 d6 f+ n4 X/ [; g
    [ move-to one-of patches  9 {' z" u4 r' c# ?# _: w2 m2 u8 P
      set size 1.5  ! E8 z) u% X% x  S4 s! }( A2 B
      set-initial-turtle-vars-age6 X. P# W' N: j  M
      set-initial-turtle-vars-wealth
1 ^( `2 p) k# C3 F* d- ^/ \% t      set age random life-expectancy ]. ]4 V1 M# ^' ~# r# B7 g
  recolor-turtles
, e; s3 P1 `' Z2 D- h" {& O# I$ qend
" I1 T3 l6 }( ]. x) {# h2 S/ M$ b) P' v
to set-initial-turtle-vars-age
6 s) W% q& p8 ?- t let max-wealth max [wealth] of turtles9 ?( n. T' \. T4 c) x8 J) G& P
   
3 l* h1 A7 i) D/ G6 N0 g# K     ifelse (wealth <= max-wealth / 3)1 a' d$ i% O; V$ u3 Q, M
        [ set color red # z1 l7 V, Z; T( d+ ~  _
          set age 0- {2 F$ ~# k; R; M* S
          face one-of neighbors4
9 i' B" X2 o7 O2 E" C          set life-expectancy life-expectancy-min +5 \9 c* I( Q/ w3 ]
                        random life-expectancy-max 2 `5 ?, E) t1 g# a/ ^3 n5 u; m! R
          set metabolism random 1 + metabolism-low
& ^, b" e$ o8 J8 H5 I          set wealth metabolism + random 307 U+ h6 i( D; t/ X  B. i; k
          set vision 1 + random max-vision
5 j& Q5 c7 q9 H( P             set wealth  wealth +  Wealth-inherited-low ]
" S" F  G& o" K9 V8 d6 `2 Q        [ ifelse (wealth <= (max-wealth * 2 / 3))+ ?- }) f8 r/ \# b& P
            [ set color yellow
9 e+ ~1 A" b( ?& @& Z; D5 o              set age 0
/ M" d" y, V  r3 `2 Z) M              face one-of neighbors4 2 W& M% C/ l' Q6 U4 T$ }2 s
              set life-expectancy life-expectancy-min +$ n- [- h+ F9 E
                        random life-expectancy-max + 10 ]$ P4 l7 d9 B- l( S6 v0 X9 g
              set metabolism  1 + random metabolism-mid- Z% l6 g$ |3 \, ^) s+ I1 ~6 `5 v% k- A
              set wealth metabolism + random 305 R' d4 P7 q2 W+ @& Z% }* S
              set vision 3 + random max-vision
7 x4 l* d  j( g+ ?, k' `                set wealth  wealth + Wealth-inherited-mid]8 g) w- O( c. b0 F' o
            [ set color green 8 R5 E& q5 k; Q( r& i8 t" F8 _
              set age 0
" h1 q2 g& T. m: f$ h, ~0 }              face one-of neighbors4 2 t1 j; |) E- {' \3 N6 p& ^
              set life-expectancy life-expectancy-min +
, x7 r3 a6 X* |* a$ x! e8 E; \                        random life-expectancy-max  + 2
8 ~7 Y) m- R7 I+ q, ^% H' W' {* k              set metabolism 2 + random metabolism-up
) Q) ]! B; a$ x/ q              set wealth metabolism + random 30& B" j) `6 G* h6 f! p, ~9 r7 p7 t
              set vision 3 + random max-vision
' }+ E2 u$ l$ Y& H" O: q+ w              set wealth  wealth + Wealth-inherited-up ] ] 0 C5 Z3 u# f9 C8 p% [
! c9 e0 ]0 q* w9 u, e! L
end
: [" D8 r- }5 u& m% ~to set-initial-turtle-vars-wealth
: l0 r& q4 n/ W+ Y7 P let max-wealth max [wealth] of turtles/ h* D' m4 y" z6 _! ~: i
          set age 0% ^' p5 _- l# R" U7 X
          face one-of neighbors4 7 u, ?$ p# M- P( ~. `# N- e9 ^0 ^, R' L
          set life-expectancy life-expectancy-min +- W4 e( c! r, c6 [2 o3 |0 }, R
                        random life-expectancy-max / p  |$ k# I3 |. p
          set metabolism 1 + random metabolism-up; K6 _7 e/ g4 ]9 W6 m6 F
          set wealth metabolism + random 30# n2 @$ N2 d% a  [
          set vision 1 + random max-vision
: y1 a  m! S  _end
' A# r1 e, x, {0 @to redistribution
" M- ?3 x+ q! u% Flet max-wealth max [wealth] of turtles
" A) a- b9 W& c# |$ vlet min-wealth min [wealth] of turtles2 P% o4 `3 H# J8 i
if (wealth <= max-wealth / 3)5 G- y( _* x8 }. _6 p. F
[set wealth  wealth + Low-income-protection ]
: M: }- T) U: y% g/ @4 \* Kend$ W" T  d4 B2 j* @
         
: l3 g9 |+ y& r3 T; H$ _  qto recolor-turtles/ n) n- W3 N2 W" N; u: H! ]
  let max-wealth max [wealth] of turtles
8 ?6 k  c- b- {5 M. D- O. B' n  ask turtles
. ]& C! ~' O1 q  m   [ ifelse (wealth <= max-wealth / 3)
1 W, U, D0 X% J% b- c        [ set color red ]
% u' U5 p$ o( f" A% F+ W$ H$ q$ T        [ ifelse (wealth <= (max-wealth * 2 / 3))4 V  d! z! p% Y8 G0 m/ R
            [ set color yellow ]
& G2 ?3 P% p! a! H            [ set color green ] ] ]% f+ J& x8 \- h+ m* d1 k0 H
ask turtles [ifelse show-wealth?3 k$ S8 j4 e& N& q! a0 L; u
    [ set label wealth ]; x( n1 a' `; A  W! F9 i
    [ set label "" ]]2 j, L  x, U( G; @
end$ ?* s9 l+ u$ `- f
( d( v0 I2 L- M% Y
to go/ ?, ~! O9 F! D! P- d
  ask turtles- F* N# J: x0 }
    [ turn-towards-grain ]  
" A$ V5 X; d9 P5 m- @5 Z8 H  harvest0 @7 g; A1 D5 C4 ^8 p3 ]$ O2 o
  ask turtles
3 n8 A1 x- a; V( B    [ move-eat-age-die ]2 q- j& _7 x+ m' U; g3 p  ~
  recolor-turtles# }( T0 l# o8 n- k9 ~
  if ticks mod grain-growth-interval = 0# W* ~+ T; R1 s# X4 z$ s% W
    [ ask patches [ grow-grain ] ]0 O, [" d( s  l4 S3 l9 |: Y6 `
   
* A& M4 \" t* ]" U  if ticks mod 11 = 0
# F) a$ Z0 Z2 f& F9 _# g: B  [ask turtles0 K( E+ g( h" v" U* ?6 B
  [ redistribution ]]
+ ^" s  b/ H! q( X9 Y6 A8 Q8 Q: ~  if ticks mod 5 = 0
' u) C4 X: [0 h% |: Q% z   [ask turtles2 Q- h  {/ Z  n* b- O1 r2 n
  [ visions ]]+ [: ~1 t: j! A2 w# I0 d3 L
  tick
  |  W3 F4 e* M# |4 ~; H  update-plots
/ j& \8 {1 Z: P: _/ L/ tend
+ T- T6 ^! L, W, g! Pto visions
; c8 @+ b/ Y' b* N0 L0 j set vision vision + 1 6 `  J- ]6 [2 N# q
end$ {, O& C, j+ O: u# r! N

% z; u7 M: [) ?" v/ m5 e
5 g  i. i- ?- [( m
2 `  ]" S/ N# y, Uto turn-towards-grain  
1 T- R4 W$ s+ G# m* Z! ]  set heading 0" @: w" X  N3 U5 P8 E; C" E2 F8 {
  let best-direction 0( o* M: `; ~" k* e! d
  let best-amount grain-ahead  v" K9 X7 S3 \" `: z1 c2 u6 K
  set heading 90
+ W5 \$ h# u2 N; }3 K5 F' ?. {/ Y  if (grain-ahead > best-amount)$ |/ M" A! L" |& o$ p5 S
    [ set best-direction 90
& s, Y9 u! ]* D$ X      set best-amount grain-ahead ]( Y  H6 \4 N/ B3 Z& p
  set heading 180
: Q+ _8 |! f' Y, \% `: K  if (grain-ahead > best-amount)
0 u/ T) |+ Q2 C4 z6 g    [ set best-direction 180
9 h& }8 {6 p* `      set best-amount grain-ahead ]2 [5 q7 P; d' o8 j; y: f4 ^  X  L
  set heading 2709 w, g  ]+ q" k$ G+ F
  if (grain-ahead > best-amount)% a! y2 I" ]0 T1 E' n3 u4 l
    [ set best-direction 270, q- r( E0 b# i: b1 U3 d
      set best-amount grain-ahead ]4 i( y- D) A$ a" u
  set heading best-direction* K/ K6 H; J6 g+ q0 N
end
' X2 ?6 ~% B' B
/ Y' {/ q. I2 g9 T2 n
" K) H# l& }( w' ]to-report grain-ahead  
% A6 b+ x/ k! w6 ~! U  let total 0
- k; |, i8 d! C  e% S* C  let how-far 11 Y/ @9 o. N0 \6 ?1 ^8 T
  repeat vision6 U* [* ]9 P0 X& _
    [ set total total + [grain-here] of patch-ahead how-far
% U: r1 E- r# \3 l  t      set how-far how-far + 1 ]; ~- W# w8 Q# Y7 K9 a$ C7 g0 K; _
  report total/ a0 k8 o& C* v7 {5 O& \
end
) K; L- L! n7 Y" W- L$ l& i, `( _+ n# C4 J/ K% ~6 v  b8 @
to grow-grain
$ F* i& x# [# B7 G* L* I  if (grain-here < max-grain-here)+ ]( N; Z* f5 c
    [ set grain-here grain-here + num-grain-grown/ ?, h( k$ ?( R
      if (grain-here > max-grain-here) , }( `3 v# s  x3 x; ]
        [ set grain-here max-grain-here ]  R1 E# |! D2 j) [. |( b! @) u* f
      recolor-patch ]/ A0 v& m, A* g# I* y
end/ L! F+ ]* u6 s8 E
to harvest
# P! Z+ @! a$ g: m  ask turtles
, F0 W; p6 k( d, g    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ A4 Q/ h9 g9 S1 e! G  ask turtles2 x% L9 Q7 E  q; Q$ O& ^% M
    [ set grain-here 0, _% `$ ?5 C" w- N: e
      recolor-patch ]: H3 D" m8 \) P! a0 h7 ]: ~
  : G3 R/ `! `2 O5 J& L5 N0 ?
end
5 ?# T, T9 Z, d& I! W
1 q$ S0 a8 A! e8 l6 s" W4 @2 d( Rto move-eat-age-die  5 P1 n2 Z) }( s+ k/ p8 W/ f) J
  fd 1
+ w9 }+ }% O0 M  set wealth (wealth - metabolism)
8 {1 B; p  W3 \" T- \% w, N    set age (age + 1)/ O4 T% U) M7 w" t3 e+ }$ A- \
  if (age >= life-expectancy)  ?# }+ m" [" I( V, n3 z
    [ set-initial-turtle-vars-age ]
2 A$ R4 N5 L9 _6 F% |- j/ p  if (wealth < 0)
) n9 B& C1 a  d: t    [ set-initial-turtle-vars-wealth ]
$ U+ N8 z" Q; G. T6 N" G   
( c  S/ I9 h; ?5 ^* O& }end: a6 ?+ O, e, |- y9 H7 o

9 ?, A3 ]1 l4 |% H1 D4 E3 Z6 _' |& e9 P" x" f1 e$ b) c
to setup-plots
: S- e  _3 |& |' o: U  set-current-plot "Class Plot"4 }( S8 \: \3 e  O1 o, J
  set-plot-y-range 0 num-people/ G% z$ J, k) N& A( f& L& b0 I
  set-current-plot "Class Histogram"7 R* q; \3 e& z% |
  set-plot-y-range 0 num-people9 D- t8 w% U8 H
end
4 e" V5 ?9 ]( p1 \
1 [' T  j! U2 P. Xto update-plots
8 x  c/ k, q$ c8 u1 N2 X0 b4 n  c  update-class-plot: S' g& V$ c2 K
  update-class-histogram
+ a4 b/ ]/ s  J  update-lorenz-and-gini-plots
% w& c/ G' o: E; J$ O6 C  h: j7 z" rend
' @& H; T2 g& }3 p" a2 }0 I+ c: d' |8 I. b7 R4 J4 A4 `
to update-class-plot, n* E8 Q! Q$ ~9 e# U  d- T
  set-current-plot "Class Plot", K7 U" p: ]- ^# j; M2 C* W# q
  set-current-plot-pen "low"4 G, d/ G: u7 S% a, Z% P
  plot count turtles with [color = red]  h0 r& g6 j2 Y& J' T! o
  set-current-plot-pen "mid"
& N: C/ C4 A5 C: y0 J* L- E  plot count turtles with [color = yellow]4 u& X6 ~, L: v! n' s# K2 F
  set-current-plot-pen "up"
( t  e; n; D/ l! @' R1 |) {  S  plot count turtles with [color = green]! `3 V; a- @4 t
end
% O- W' x2 x" _  f7 U. d7 `, D/ l( T  }! T9 F9 I, v/ w5 r
to update-class-histogram: |1 M* G7 Y; Y) \0 d
  set-current-plot "Class Histogram"9 w3 s) y! j( M8 n
  plot-pen-reset
# T/ \! x( H  k* R  set-plot-pen-color red& _7 ]1 J! I5 {
  plot count turtles with [color = red]
  U# B3 }, {, H& @8 u0 T/ ?  set-plot-pen-color yellow
" {& e( r- d& h: S( [/ C- a& L  plot count turtles with [color = yellow]
: _; B0 k5 _. E) p3 [- B  set-plot-pen-color green7 N+ G4 V: [- a2 [  _
  plot count turtles with [color = green]( S/ i5 E0 a3 U$ F  o. ]! ]
end
! y1 T" Z4 Q- z; \to update-lorenz-and-gini-plots* V- \- E' _: h
  set-current-plot "Lorenz Curve"" f) d% ]) j6 O4 x, ?
  clear-plot. n6 _. X, e4 p/ T: ^

1 o* N4 m* J4 E* }. V  set-current-plot-pen "equal"
! y' G& y0 B1 B+ K! `6 c4 y  plot 0
, v1 ^2 |: u  s0 t0 r  plot 1002 u, Z* @8 P! Z
8 k3 e( _: e! a- k
  set-current-plot-pen "lorenz"
8 a4 |+ _( ]& Y: U3 f  set-plot-pen-interval 100 / num-people
5 w0 ^! M; f! H  plot 0) P/ b0 S7 X- T4 B

6 j! [* [  p6 U+ r  ?# o4 d7 G  let sorted-wealths sort [wealth] of turtles
/ S; ^) U8 w' U- b! h  let total-wealth sum sorted-wealths; P+ p) S' d% m  D% Y3 y
  let wealth-sum-so-far 0
6 A, R; \# N9 b: i  let index 0
  I4 b$ E8 v6 f1 e3 J% G3 @2 r  let gini-index-reserve 0
$ ^0 v! E8 m# G) r# h) H
+ i* w" N7 o$ S; ~+ I# ~  repeat num-people [+ K) S" W( Y9 j( l4 K
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 R( \) ~2 t. t9 C; q( X3 y+ p    plot (wealth-sum-so-far / total-wealth) * 100
( W  R- A% ], \    set index (index + 1): l* g- p1 k: m2 S% U* C# z' d
    set gini-index-reserve1 v$ b& Z$ e- x& ^
      gini-index-reserve +) S4 `( n! I. K( m5 f+ D
      (index / num-people) -
" r! X. B/ D! o, d      (wealth-sum-so-far / total-wealth)
; M4 C9 |" c  r# L- R! W9 c( j9 r% O  ]
( j) p. Y3 e1 Y0 s8 X+ ^. Q4 L9 y4 |4 d  R
  set-current-plot "Gini-Index v. Time"- D% [1 @1 U' {. J% ?9 M
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
0 j8 n" m9 i2 H0 {end
* `+ `% C0 M. G' |) lto-report area-of-equality-triangle6 D, C- d. @+ j2 C4 ^* C# i
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)6 o" e3 o# z' p
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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