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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
1 g; O; Q& Q% w* wglobals
5 J% n; K# T+ A9 e[5 {! {0 f9 U, w
  max-grain    1 |; m$ w% f4 h
0 C: Y+ Q3 y8 Y0 z! Z4 w
]8 S5 N- f2 u: j3 S1 z/ o
; [- G' j$ v! ?
patches-own' |# c6 Z+ ]) _2 T0 c$ H
[5 X8 A: |+ w" X# o9 }; m4 k. n5 i
  grain-here        M$ b' t% C  I0 _; Y5 @
  max-grain-here  
- ~, q- ~2 N+ x; `+ @6 F! V]- i  }. M5 X( q0 ~8 C# J  C3 Z

+ z& [% J) z: E5 L, T( b9 ]turtles-own( |" R8 F) m  ?( X, W/ U4 d
[6 w% N4 B% F, i4 T) t% C' f* p& ?
  age              
6 d7 v- {2 a8 I( r; h  wealth         
8 U& I" E: h6 R. q( q  @, D  life-expectancy  
0 t& F! v) v! f) V  metabolism       - g: q! @0 @2 s- J* B2 u  J! N
  vision
7 [0 ^& m3 Y4 y4 U  inherited         
0 c( Z2 U# }6 T% a]
  N5 W% [! t) G- \
, r+ E$ x! B7 N/ p* h% T& _
6 @$ s1 R# V7 r- _& hto setup
3 r8 W. k5 W. K. q1 p9 o3 H5 s  ca3 C1 T4 F  G6 L$ f
  set max-grain 50
8 m4 P; V1 p0 }& `6 Q  setup-patches
1 O  R, S! ~0 o& e$ W' a5 X% z  setup-turtles7 ~* k+ G4 c5 T, }. |
  setup-plots* y! G* \/ u6 F5 j+ S
  update-plots2 P) l; @' }) G/ t' i6 {
end
0 i' \- m! U) v1 ?1 Lto setup-patches
+ j/ }! f$ R1 s% a: `0 Q  ask patches
$ S1 K8 R  @( ]' c+ {' n" R    [ set max-grain-here 07 c- b. Y" w1 L: y  s1 S
      if (random-float 100.0) <= percent-best-land, A. W, d( X* j# ^3 g  G
        [ set max-grain-here max-grain4 j- G4 G- `  B, w( e) q. v' d
          set grain-here max-grain-here ] ]/ f, r4 [7 ], \- F" V8 m. |$ [
  repeat 57 X5 }* \/ l: L4 }) Z
    [ ask patches with [max-grain-here != 0]
) t4 Z# n/ T2 R6 I6 M3 C0 G5 i        [ set grain-here max-grain-here ]* R) Z; H2 {2 H* ?; z7 F
      diffuse grain-here 0.5 ]
  h" ^7 E; Z, V. Q" j( k+ p( q  repeat 10
' T- k7 o- C! Y; K    [ diffuse grain-here 0.5]         
. Z; |6 l0 f# j; P5 }) `& q  ask patches
7 a. e  N# _5 O; f6 R! Q    [ set grain-here floor grain-here      w3 ]) K- c3 o! k' v
      set max-grain-here grain-here      
/ a+ {) n& a2 @      recolor-patch ]
0 J  O' q8 r( ~' B4 m: g( ^end
4 ~- J' y$ E' D4 _, ?9 @2 yto recolor-patch  9 T6 p9 X/ {+ x0 p% C. k/ z9 ~
  set pcolor scale-color sky grain-here 0 max-grain
- f/ B8 p) Y" y* {2 L2 vend: T6 G, i' o- D
to setup-turtles& B- [* H7 N/ Y+ T
  set-default-shape turtles "person"0 X9 s! i" w8 g
  crt num-people: E0 n# d5 A6 i
    [ move-to one-of patches  ( m  W& h" N' M# e4 J" H0 j
      set size 1.5  
6 J: N% p  r5 ]. O) W      set-initial-turtle-vars-age/ m9 W* v+ P% i6 M9 r  v8 n
      set-initial-turtle-vars-wealth+ A& g5 s) ]8 z* S; s+ s8 s
      set age random life-expectancy ]
$ z- d3 y8 D" t1 [3 x5 `3 k1 z  recolor-turtles! h9 _  e+ N4 Y
end
9 `" I; P$ ]7 T7 p# E4 y* k/ k
4 F5 p5 B" z6 N+ {) f6 m: Mto set-initial-turtle-vars-age
% M+ d  j9 P* j/ f. O$ ` let max-wealth max [wealth] of turtles
. A8 L7 w+ J- ?    / U: d. Y; ^& G9 L( E
     ifelse (wealth <= max-wealth / 3)
5 k% U) h. ^) P        [ set color red
5 S# D: X: Q/ P/ _( \2 t' g* `          set age 0  Q, T- H# ?- q, B& h
          face one-of neighbors4
. z4 S! E1 F& c; E5 S          set life-expectancy life-expectancy-min +
4 |* F: C& L' M1 k                        random life-expectancy-max & h. v; d) v$ p' n4 w) W
          set metabolism random 1 + metabolism-low9 O: c; a8 v0 U
          set wealth metabolism + random 30( W, E0 R- o5 K1 d0 l$ N" m
          set vision 1 + random max-vision. l; ]! G6 z1 ]
             set wealth  wealth +  Wealth-inherited-low ]+ p. \8 L: P; k/ z$ ?1 |& L
        [ ifelse (wealth <= (max-wealth * 2 / 3))& v0 o* V/ l. H" x$ F7 s+ e
            [ set color yellow % a, Z  A& ~! ?% \& F( E
              set age 0
/ O0 z3 B* |% j              face one-of neighbors4
; N8 c' o( B6 u( H/ H9 r5 ?0 Y              set life-expectancy life-expectancy-min +
1 [% c7 o' j& g                        random life-expectancy-max + 1
* s! c3 w4 `" ^8 P9 Y1 W$ W              set metabolism  1 + random metabolism-mid
5 t7 t9 u- ]: R5 y3 n8 R/ v8 S, k0 I              set wealth metabolism + random 30
1 k) A7 c+ ], [9 Z+ F              set vision 3 + random max-vision
$ \; X4 K* H! D# c( u                set wealth  wealth + Wealth-inherited-mid]1 _2 [1 m! \1 ~: v9 i* r; j/ d) d0 I
            [ set color green / }5 E9 s2 \' Z0 `0 u6 h
              set age 0# N* [( c5 c5 p1 G  s
              face one-of neighbors4 ! w* B2 N' n- T
              set life-expectancy life-expectancy-min +
6 U' M/ q5 q1 X: N4 j* b, }9 t                        random life-expectancy-max  + 2
* u5 m! T6 S2 k5 b& g              set metabolism 2 + random metabolism-up- l5 Q. P8 H9 Q" E' z
              set wealth metabolism + random 30
/ }+ k/ S9 z: ^, \3 I4 B; m              set vision 3 + random max-vision
9 h% M8 v  N% f2 M              set wealth  wealth + Wealth-inherited-up ] ] % ~+ x6 t4 k* b1 D# J; Y' C8 @
  ?$ Z1 d. L$ \
end# w, D) d* d3 j& q, c( M
to set-initial-turtle-vars-wealth" R. r3 O8 l. J% K0 j& A
let max-wealth max [wealth] of turtles
8 ]" V9 o; M; P5 p          set age 05 N# T, j* p7 w, w- e! O
          face one-of neighbors4 4 N& l4 V4 i0 W) w& f+ B
          set life-expectancy life-expectancy-min +
4 V' v/ J+ r0 _0 N/ q1 G% C9 ]                        random life-expectancy-max 1 F" j) k+ [' A- a
          set metabolism 1 + random metabolism-up
5 q' D3 X* z+ A- _. ~          set wealth metabolism + random 30( u# g+ P3 h4 G  }
          set vision 1 + random max-vision
! ]# W! @  O: x# send
% t4 H. I; u; A" v$ Wto redistribution! F1 I: h0 w& H" }- x
let max-wealth max [wealth] of turtles
2 ^; a% ~/ v; b- I$ clet min-wealth min [wealth] of turtles3 `; G1 H1 z* K: Q. H
if (wealth <= max-wealth / 3)
- P1 d1 h  D3 @& b2 n* L; I [set wealth  wealth + Low-income-protection ]" _$ k7 m1 e& h3 O
end9 |5 t0 M- b5 F! ]3 O6 h. ?
          * `/ `- f& j4 Q% |! y! G
to recolor-turtles
. P$ \+ e1 G6 D/ a) n  let max-wealth max [wealth] of turtles% V- n- n8 d7 I& b- r4 `
  ask turtles
% c% D1 Y" n$ \   [ ifelse (wealth <= max-wealth / 3)
( ~0 M5 [  H( e0 Q( a        [ set color red ]( |6 w$ ^; ~5 M$ I6 o7 H) _
        [ ifelse (wealth <= (max-wealth * 2 / 3))" A' a* ^5 K: Z
            [ set color yellow ]& ^( w: I  [# G
            [ set color green ] ] ]% p" E* t& l! p7 `! K7 F
ask turtles [ifelse show-wealth?
2 p# B8 d" k# T, u$ y- S, P    [ set label wealth ]
# |0 j+ `  D& w1 }1 s: H1 K- ?3 K    [ set label "" ]]& C9 [& q- c% J6 x
end7 w" @, Y- D' `- s) D5 p. G3 j' m

4 V( d" D/ c2 d( Eto go
/ S# ]" _* c7 i; W& e* H  ask turtles# z# o* n# ?$ ?* L* o1 F
    [ turn-towards-grain ]  % K( Z: K; U& D% n0 ?" M: Q2 n
  harvest
/ h; \7 t' O4 a( u$ D$ z8 t0 D, {  ask turtles3 [: s2 V+ I2 O& `' }8 S
    [ move-eat-age-die ]7 W4 ]; k5 l, j+ I0 H% c" G- y( ?
  recolor-turtles
' |; h9 F; h$ ^/ y  i( b+ |  if ticks mod grain-growth-interval = 09 j  j$ z+ x, r$ E2 A+ ?
    [ ask patches [ grow-grain ] ]
$ ^) M0 [  k, Q* H# e( G   / s$ r5 K8 H: A* J0 a, ?+ N) o2 Z
  if ticks mod 11 = 0
% V+ x7 @/ }+ k: X6 Q( K  [ask turtles5 Z: P- _! N( Z* |- ^  {. b4 \
  [ redistribution ]]
) c, u# {" ]  q& K, H  @( X5 f  if ticks mod 5 = 0/ g, g6 f8 r$ j3 P; D
   [ask turtles0 {/ t3 l+ @; i  N3 B: k7 D- Z
  [ visions ]]% S& z- w9 q6 @% b. _* s
  tick  u4 H1 ]- {" u) ^. m9 [0 d1 F
  update-plots( t9 K5 k  b, I* @- q$ [) A, |& Y
end- ~4 t0 g5 @& x7 x
to visions$ Y' d" B) W% |( F! k. K
set vision vision + 1 ) f; ~9 A4 u+ v% N+ W( M4 f
end; K* b. [! f8 r; g: W) d6 N
* X( I) F) a* W. M* v% ]

, q+ u8 h2 _8 K1 Q* q
  w3 e- B! j4 @9 g4 ]to turn-towards-grain  ! K/ m/ ]/ S7 P  c8 J$ i/ `& g
  set heading 0
3 ^7 ?" {) s4 @5 I  let best-direction 0
& M# C  S, G' l$ W1 n( ~5 k/ b  let best-amount grain-ahead
- K+ S$ G& }& ]) B& |  set heading 903 E% q  X1 p/ m: s4 j% |
  if (grain-ahead > best-amount)8 p' T; E9 E# I: Y5 R9 e
    [ set best-direction 901 K/ u2 ]% A7 y' v; d
      set best-amount grain-ahead ]" Q9 j2 b0 h, p
  set heading 1803 l; c; `* D& P3 z1 _3 d
  if (grain-ahead > best-amount)- f$ h7 {; e* u+ r. ~: U
    [ set best-direction 180
* {! J  K4 \2 _0 J% N7 F2 Q      set best-amount grain-ahead ]* S7 q. S( s1 S+ T2 a: N  V3 [
  set heading 270
) _/ e$ N$ `: z+ \. I: ]2 @) H  if (grain-ahead > best-amount)
0 S6 c1 ]1 D$ A! X  v1 U    [ set best-direction 270# ^) R2 h% l5 r0 E) X4 b8 A" d' m
      set best-amount grain-ahead ]$ {) C' _1 `4 K, |5 Q
  set heading best-direction
6 j" Y  k, b# j' j7 kend
9 |$ A  W9 j0 `( V; w  E% h- [9 _& d* t* d1 J! ?" H
' T0 ~) _1 k+ J( k
to-report grain-ahead  2 Q* d6 N2 b1 o' J, I2 x- i1 h
  let total 0/ x: f) n% u% t2 l
  let how-far 1% B2 L8 u3 T3 ^9 @
  repeat vision1 f- X' {, v% q
    [ set total total + [grain-here] of patch-ahead how-far! p- D% ]4 R9 I) V
      set how-far how-far + 1 ]
& t2 I6 A) |9 `( Q' S: R  report total0 B0 q6 L" l: I9 U* X
end
' m3 L6 x1 D9 e# j0 I: S  v4 x+ F9 V7 b/ b7 w( f! D' |9 m$ d
to grow-grain + f; ~1 f+ N8 Y" \/ d) O
  if (grain-here < max-grain-here)
2 |6 s; C+ F$ }$ y    [ set grain-here grain-here + num-grain-grown* b# ~" P0 ?4 `- K- U
      if (grain-here > max-grain-here) & G1 n  f4 ~  A7 I3 Y( Y
        [ set grain-here max-grain-here ]4 x9 C7 t; ~6 r2 ^4 B3 U
      recolor-patch ]! E  p9 Y$ A' e/ W
end8 k; y$ w- g; o8 j0 o
to harvest
. C; H( P" y4 E2 o4 Z  ask turtles
5 }. l- \/ n' W3 Y! [  G" x    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]* a1 W  X' f# ^2 ^
  ask turtles0 k  j; q6 N/ B3 X! c2 M* t
    [ set grain-here 0
! ]/ q6 J- E7 T$ g/ I6 Q      recolor-patch ]+ d: Z$ D; C1 u: K
  
/ c" B. U  S# U; u! `8 m8 Kend
2 M& n  c& r+ v* e8 \& E4 {! O8 ^; T1 ]& z% q& E, U. x
to move-eat-age-die  
# e4 n  ]; e$ N5 O' K3 ~! D( f* @* z  fd 1
5 h% v6 b" f% u- Y3 i. g( `  set wealth (wealth - metabolism); q! J" \( \7 D4 H4 O8 q: k9 }
    set age (age + 1)
, N6 t2 l4 i1 P9 k  if (age >= life-expectancy)
) J6 q% f" H3 y+ ^' O3 Z* U    [ set-initial-turtle-vars-age ]; t- O/ ^) x; ]
  if (wealth < 0)
9 m9 h, c! w% g* E    [ set-initial-turtle-vars-wealth ]
' I/ ^" }1 `- \5 @+ c* q1 Y% T    ' A4 C2 O. _  H5 G! y
end
8 E+ O# S# D0 {; k2 H( q' E% g/ ]5 q

8 h* ^4 ^3 o/ Y2 s/ V" i( L* |# A% Q5 Gto setup-plots  ?9 z, ^% F6 S1 W( A% S! u# @
  set-current-plot "Class Plot"
; x( H* k) o% P2 A  set-plot-y-range 0 num-people
4 R1 B1 E5 O, h  set-current-plot "Class Histogram"' \4 n9 y; d- v7 W' |
  set-plot-y-range 0 num-people! e1 Y; h- g/ Z3 H
end
2 c. B* c$ N7 ]+ e* W$ h
) W0 @+ ~, m/ r, J# J1 oto update-plots9 w# y/ ~/ g( v) z3 w
  update-class-plot' M- d2 A1 ?8 t: Z* K% r% }
  update-class-histogram
% b: d2 ]5 ~) U* O# q  update-lorenz-and-gini-plots
% S3 Q; @+ [7 D/ I. U/ send7 i9 ?9 N: W5 z- m
" g1 K0 w; l$ }/ W
to update-class-plot
# C. n. v' D  y  set-current-plot "Class Plot"/ R' N, }$ `, i' J
  set-current-plot-pen "low"
. z& r( Z, `( i3 S/ i  plot count turtles with [color = red]% K% g+ N  F! C- d
  set-current-plot-pen "mid"
, @+ J! e7 W2 \) i  plot count turtles with [color = yellow]( T# L- @% a! d! [  L$ y7 T
  set-current-plot-pen "up"8 m" Q5 m1 @; O' R
  plot count turtles with [color = green]+ K/ c, m& H+ n  i, e
end
- ]& {1 P7 F: O0 p* }2 w9 y  M) g" z) K, S5 c3 \
to update-class-histogram
7 `' S( O" L$ h  _. W5 f; O  set-current-plot "Class Histogram", g  m; b* g+ K* g$ w6 ]
  plot-pen-reset1 v, Q  p. {" z5 ^& _! u- l
  set-plot-pen-color red& N& u6 {# J( K6 K# `
  plot count turtles with [color = red]
" G( h4 j) l& }& j! |  set-plot-pen-color yellow; J9 r0 `( G: U) o
  plot count turtles with [color = yellow]& a3 t9 \; J# D5 U2 D2 m: e$ ~
  set-plot-pen-color green9 e2 T4 }: y  u
  plot count turtles with [color = green]
  t3 S, k' `$ l6 [* u+ z3 {0 aend" U: `6 M& `+ L- o* o2 D
to update-lorenz-and-gini-plots- y0 F# i& ^/ F) d# n4 l% |
  set-current-plot "Lorenz Curve"% A& O1 @% u, u. y" i
  clear-plot
, H- m2 e) l, D' A6 Q+ p) H4 Q
" r. b1 s7 r3 u: t( N0 p  set-current-plot-pen "equal"
8 I- m1 h, z8 X8 l# P  plot 0
9 e! q3 C8 W! l  plot 100: N% U. }. c+ j' |
! J0 f7 _- Q3 v3 D
  set-current-plot-pen "lorenz": h: j; ?* o/ z2 ~+ T
  set-plot-pen-interval 100 / num-people
8 |& v/ L9 x0 _  plot 0/ y: @' o5 q' k, v8 ?$ r, ^
/ K. O" T5 m4 G( s6 }- m$ O+ H9 q5 l
  let sorted-wealths sort [wealth] of turtles
0 `7 z. E, c5 H/ D  let total-wealth sum sorted-wealths" c! i1 f* d3 v$ d
  let wealth-sum-so-far 0
7 @8 F% ~* r: ]4 V0 h/ ~8 j  let index 0
; n# _1 c' e& W1 h6 q  let gini-index-reserve 0; t6 B( w3 t# G9 J3 p8 U
6 E% g0 H! ?8 G% I# |; y
  repeat num-people [3 Y' ^  `' n# y- [
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
7 X# ^8 e% C9 I    plot (wealth-sum-so-far / total-wealth) * 100
! k3 u( u  a) T% t/ i2 H! w& @    set index (index + 1)
3 l, X( m! m. N& s    set gini-index-reserve
6 J0 s# Z# {" p: S8 m# Q* O      gini-index-reserve +7 }. r& [: [* s# H3 v: f
      (index / num-people) -
- p& b5 c% [( g7 G' A      (wealth-sum-so-far / total-wealth)" x; o  m; C' W2 \3 K/ p
  ]
, q* h- [2 `6 L
! T, u/ H4 ?( i7 _  set-current-plot "Gini-Index v. Time"
7 g# ?+ v, X) ?- m. Y. r  plot (gini-index-reserve / num-people) / area-of-equality-triangle9 Q4 X: @1 q5 I& S6 p8 r/ K# ~
end
" h4 v; A8 L/ P: ]0 }* c, T7 Nto-report area-of-equality-triangle2 V7 P3 K1 {; c  b3 Z% }) k; E6 j
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
# _* U4 P4 \# ?, Q6 p) u3 hend
 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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