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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9 Y' M2 v7 ~5 ?( `! v- V# M
globals6 g: B& N4 p2 P  w
[7 ?' {( G( G% x/ q& i4 v
  max-grain   
- O# U; R9 p  t
! i. ~% u: I; r]7 S& n3 f' r" S/ C# V
  U3 y( j7 e- E
patches-own
5 S' T2 M; V+ @6 |2 x3 P; M, T[
% f4 t7 w; |6 [0 v" S  grain-here      
; r4 o+ ?) A- Y  W2 d( i" I  max-grain-here  " m4 \1 D' ^% d4 \1 H
]. }& z0 b! i# \" _% ?
. v0 J* m: P1 n8 q/ g# D) s
turtles-own; J8 _$ |1 b2 t1 h
[
* G: `6 |9 H# g" U4 @! G0 ]3 |  age              ! O. C% H& r7 z- d# R: p
  wealth         . }; T. l6 X" P# I& g
  life-expectancy  ( Y& u: a  r5 Y& `0 R8 W
  metabolism      
& ?$ J0 [; J) z; ]$ q$ k7 ?  vision6 o) Y" o+ x0 K
  inherited         
) `5 K" J3 P+ r1 f" I1 C' J2 {% M]# F% l" F2 S' `
. ]) h0 s  w9 r3 K
# o% i3 I* n& W* Z
to setup. n$ O* X0 N- t3 ]
  ca  e1 y! Q- q3 b: ?! L
  set max-grain 50
# {, l4 Q0 O/ |% u5 R  setup-patches
3 v  P$ v8 D; f' k5 D% {' w% F) T  setup-turtles
( T6 ~; [7 A8 e( w  setup-plots
% A5 f; N  L/ Z  n; I3 [* f3 I  update-plots
! X# q% _1 U/ Cend# Y) s; r; t/ g, C/ z! G0 L5 d2 ]
to setup-patches% z# P4 Y. u' ?" c! A
  ask patches
4 ^3 D# m# A+ M/ r$ e: a+ r    [ set max-grain-here 0
/ [) i: y$ T8 Z      if (random-float 100.0) <= percent-best-land% M8 `, `% v5 ?1 S
        [ set max-grain-here max-grain
+ T; k1 A6 j/ f8 i5 A$ @          set grain-here max-grain-here ] ]
$ M+ N4 F  _% g; v8 v  repeat 53 R+ E) J3 s3 b$ F+ k8 A4 h
    [ ask patches with [max-grain-here != 0]
9 O2 p! T+ l. Y4 N# Y        [ set grain-here max-grain-here ]
# J* b, M. T- I$ S+ j5 V      diffuse grain-here 0.5 ]8 s4 j7 \- L1 Q/ x
  repeat 10
2 p4 Z) D3 x) G/ G    [ diffuse grain-here 0.5]         
2 [) h- u7 z" I2 W8 ^- C  ask patches
0 x/ a- F% z+ d) {1 b    [ set grain-here floor grain-here    & I0 W$ o. {/ O+ J8 E5 ^
      set max-grain-here grain-here      " T! c- z' z" E) s% N# N4 i
      recolor-patch ]$ r2 `5 t$ o( K
end' z# K1 l# \5 @$ d
to recolor-patch    s; }# x: t5 s' p( j
  set pcolor scale-color sky grain-here 0 max-grain
! J' g) o  ^  L3 X. _( Vend% `2 G* v6 X6 x* I0 j: |/ z
to setup-turtles
# `( V$ E1 J- {; {& l  set-default-shape turtles "person"( H: ?  V4 q6 W0 d* R+ M. d0 ]
  crt num-people. d  ?4 J: {3 m) _* i7 {; D
    [ move-to one-of patches  $ ^0 W- I2 O6 H7 G1 g
      set size 1.5  4 ?! X6 n4 I+ [- l1 d( p" @
      set-initial-turtle-vars-age9 _/ A- N4 a2 s8 z# f
      set-initial-turtle-vars-wealth
& Q% L+ d' Z5 f3 m      set age random life-expectancy ]- F. c& m- p3 r- y. f5 b1 E
  recolor-turtles1 P3 i6 {+ P3 v* M
end
9 }1 k9 i9 U) H$ f, M2 ~2 @* P8 t8 o( X. }4 P+ h1 ?" u( u
to set-initial-turtle-vars-age
; A$ i5 n6 D8 l4 R/ i let max-wealth max [wealth] of turtles: R) K5 v# S' N( V2 j
    & \. z9 n( ]: v! a' P
     ifelse (wealth <= max-wealth / 3)( h' I& w) l- y# W$ p5 h
        [ set color red
1 \; x( c: _( B3 [; G" v+ g8 L6 s          set age 04 Q2 t6 f, D0 S1 c. z- c
          face one-of neighbors4
+ K1 c- D1 H+ k0 f4 m5 p! w" G          set life-expectancy life-expectancy-min +
! v5 ?8 S! W+ T  O; Y) d                        random life-expectancy-max 8 C( r( t4 ^! L# N
          set metabolism random 1 + metabolism-low
$ O* B7 i8 |0 W  n) _          set wealth metabolism + random 30
5 X, Y, [+ F. W' D' {          set vision 1 + random max-vision+ m, g8 X7 D+ ~( ^% @
             set wealth  wealth +  Wealth-inherited-low ]
3 W1 z* m- x! N3 f4 F  @        [ ifelse (wealth <= (max-wealth * 2 / 3))% [& d: ]  t1 P
            [ set color yellow
  @6 m2 m+ B2 b: [1 Q/ O2 {- \              set age 0
% {7 K( J9 D1 A3 J6 X              face one-of neighbors4 2 S) O' a) u/ \! @" ~9 R4 V
              set life-expectancy life-expectancy-min +2 ]5 P& c2 H" \: B% O: N2 r
                        random life-expectancy-max + 1
- b$ O4 V7 s5 |  A: S/ v              set metabolism  1 + random metabolism-mid
6 v4 s! I& ^) u' H) e              set wealth metabolism + random 30
7 `# b# t! X1 N4 i5 b              set vision 3 + random max-vision
, a& B% R3 g  M                set wealth  wealth + Wealth-inherited-mid]
& M+ S4 o/ p7 L, j            [ set color green
- ^: x, n  e# C              set age 0; K! p. K* A9 ?) t
              face one-of neighbors4
4 g! c7 Q6 n4 x% @" l2 U  a              set life-expectancy life-expectancy-min +
) ^6 f( ?- f  R+ _: k! @0 F7 r                        random life-expectancy-max  + 2  {) F* M- I0 U  ~  z) h4 `2 Z
              set metabolism 2 + random metabolism-up# G' y; J# k' X  k
              set wealth metabolism + random 30
& S% w; Q& g4 u) Z- w( \, Y. h              set vision 3 + random max-vision, c+ a- r( R, s2 }2 [
              set wealth  wealth + Wealth-inherited-up ] ] 7 X  `& W2 |( ~
) c# u! s2 a9 W$ n8 ^/ `* x  B
end% r' y# C# K+ a6 O
to set-initial-turtle-vars-wealth
7 @0 n/ f* t2 U% j! { let max-wealth max [wealth] of turtles- O& r! F2 n8 f+ k" i2 U: R
          set age 0
( F2 P6 Z1 j2 V- k* K' J- }          face one-of neighbors4
# B0 P6 i, H) i' j          set life-expectancy life-expectancy-min +
  }. {! L5 f! P0 y9 }! a8 n1 r                        random life-expectancy-max ( q! l1 L' m( W; O; H# \
          set metabolism 1 + random metabolism-up, x4 y' L  _/ p5 u) v& q
          set wealth metabolism + random 30
# ^+ ]; Y  k% Q. s          set vision 1 + random max-vision
( W8 J) ^+ H* D( w9 Mend
+ _0 H! u% m& Hto redistribution% ?1 d* u' h5 {% ~. t' k
let max-wealth max [wealth] of turtles3 |/ B% B  t# b, O" C
let min-wealth min [wealth] of turtles4 a, y9 }. m4 `, j9 g& F
if (wealth <= max-wealth / 3)) y; Q" f( B" ?& j$ n$ [
[set wealth  wealth + Low-income-protection ]# ?& a- }4 Z* B' F$ r: T
end( O  W, c. B8 s) ]1 d
          ) h! w$ s6 v. Z
to recolor-turtles
, z3 g* _3 z& k8 n  let max-wealth max [wealth] of turtles
, c( R8 Y* D3 G; V: z  ask turtles$ c2 |/ E3 @4 N0 s1 @% o/ e6 A0 I
   [ ifelse (wealth <= max-wealth / 3)
1 y) \, B: \" |: s9 |        [ set color red ]
2 F" E  O) {1 o' R" F8 {% r+ R( v! ?        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ g% i/ v5 w# n# _/ R            [ set color yellow ]. W' k; y5 y- Z, r# Y  h8 l
            [ set color green ] ] ]
' ^4 U( n0 j7 c& V  N1 X  ~% ?) | ask turtles [ifelse show-wealth?% W/ a! I0 O2 |& m; X
    [ set label wealth ]
' W# p) _' K! d    [ set label "" ]]
* g% h: U9 ?% T* I# Q! Jend; e3 {- N3 l4 P2 m

9 o* g6 M# V' z: Z, [/ U: Qto go0 ~( h' U- i2 r' w* \
  ask turtles
3 J  ]& I4 p  A1 j& H% H" E    [ turn-towards-grain ]  
( O# x# }8 l8 b5 ]  harvest
- V( q  ~0 \( H3 `. p2 ~8 ~+ k  ask turtles% E5 R& P- r4 L3 D1 O. D+ t: _
    [ move-eat-age-die ]/ H( d$ D/ V/ t5 `: Y0 M0 x
  recolor-turtles
# T7 q7 k( G% |7 d' ~* y1 d! L  if ticks mod grain-growth-interval = 0
- _+ b* z; s) h# o    [ ask patches [ grow-grain ] ]
9 _. ^$ c& c0 F4 _% D% M  d   
& V& i/ N; H# B$ s  s# N  if ticks mod 11 = 0
; }" D2 v- i. b. u  [ask turtles
' L- x, A5 `+ y/ t  [ redistribution ]]8 l; M' l+ B" ~" P
  if ticks mod 5 = 08 [$ @7 N4 B; d1 j/ q
   [ask turtles8 Z/ E( }' a" R7 V$ o2 S) Q
  [ visions ]]3 T; [3 F6 u/ q  x' D
  tick
  r# |+ f" A! @  update-plots- f" c+ P, ]3 p4 Z  S+ h
end: _" `' a3 M" x) ?1 u6 g
to visions0 H( h; r& L* x) K& u8 D
set vision vision + 1 $ b' X: b9 T" |; {  Y' w
end* j: R# _0 b5 C. ?/ @
: g5 r! ~" U) |: A/ R) s* i
& |! k0 l8 }" O2 e, D7 D

9 c$ E% _  r4 b3 J; m; {  o, hto turn-towards-grain  % p5 V5 _' a9 W3 A) |
  set heading 05 a* ^" g; ^$ _) G! G
  let best-direction 0
9 |" C3 P; ]: J3 T* T3 n  let best-amount grain-ahead' ^# d7 \' w& Z6 w# b' A
  set heading 90
! D$ O% @% ~; M; z% {  if (grain-ahead > best-amount)$ m- ~5 U, V& E! M
    [ set best-direction 90' ~0 A& A; U; W
      set best-amount grain-ahead ]$ D- r. c6 j8 @! i
  set heading 180
2 b+ h: Y& r5 `  if (grain-ahead > best-amount)4 ^% I$ C7 d: W: O
    [ set best-direction 180
: _9 T& s, `+ `# q      set best-amount grain-ahead ]
9 n. y% v6 o9 ]3 |6 J9 h  set heading 270
$ z. M' ?' @# n  if (grain-ahead > best-amount)
% e. L% ~6 M- J- g    [ set best-direction 2703 e; r& y. ?. W4 _# e9 T! r& K+ X
      set best-amount grain-ahead ]" ]( P. U0 x. m$ [
  set heading best-direction! h% k; @- d6 S
end
. ^& E: B; E+ R, l6 L& a: A) @& D  X1 ]' ]! [! P; o& z
0 i) r/ d, |% C6 ]9 ?! A
to-report grain-ahead  & M1 y# l4 W0 A
  let total 0
' i2 X! U; c; D  let how-far 1
' c  g$ s+ o% R2 D& K, {& e  repeat vision( F" H$ H# V" a
    [ set total total + [grain-here] of patch-ahead how-far
" B+ w4 r1 B% z: k      set how-far how-far + 1 ]1 Q9 r$ F/ y. b  H, p0 L9 M  h
  report total9 C- _3 v3 ^, v5 d! _
end- l: c0 j" K1 c/ B
* L6 e4 o/ p% H
to grow-grain ' ~! q/ D& i! t7 D5 k3 f$ V; ^
  if (grain-here < max-grain-here)
' ?. o0 q! o' \$ @* H/ Z; ?9 b    [ set grain-here grain-here + num-grain-grown
. u1 X# B* g. N7 {      if (grain-here > max-grain-here) % f$ N2 b! R% V6 K& k2 i
        [ set grain-here max-grain-here ]# B+ C2 R, F0 @1 h4 j
      recolor-patch ]
8 J; x! E- r2 T. U1 k: {9 send
1 d6 D' g: `6 {0 \) E3 |4 o  S. Bto harvest
3 H+ N( u2 M4 I8 ^+ S; j  ask turtles
+ c  s" n. a9 Y+ N& J' Z3 @    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 z, p- X% b  x5 ]# J9 I  ask turtles' n) M7 d" j: y5 a
    [ set grain-here 0
7 m. t7 K1 s) u6 k      recolor-patch ]
* @  e% A- e; k7 i( u  + i) u! T5 j+ w9 ~; {* ]; @
end2 U; B3 Z3 }0 n+ m  _. Y4 J
8 z/ w  \4 y& k2 r+ W0 c& I( U
to move-eat-age-die  5 G- r8 I5 P2 A3 T- X
  fd 1* S( _( R2 W, z" c% {# V9 h
  set wealth (wealth - metabolism)
# h, p0 s; Q- C    set age (age + 1)# y  o( {: T% W. M! L3 b, D, C
  if (age >= life-expectancy)% @3 N; V9 d# Y  f
    [ set-initial-turtle-vars-age ]' c7 g0 _& X7 \- d( O% x% x
  if (wealth < 0)2 h  l# o: r7 T& c1 n' ^8 M
    [ set-initial-turtle-vars-wealth ]
2 d/ ^+ v; |1 V9 y   
0 C) P, O: m) H3 @end- E- n0 ^: u% _2 e

( R% S# [6 `7 O. }
( ~6 |$ ~& E4 P! r. Sto setup-plots
' G, v2 O0 x% y5 H2 i2 ?1 E  set-current-plot "Class Plot"! e- O5 \2 P# R9 c, C7 x
  set-plot-y-range 0 num-people
9 e5 r0 M/ K! d% Y' {; F; |  set-current-plot "Class Histogram"; I% q5 V1 r: g7 {
  set-plot-y-range 0 num-people! b6 T" ?/ G5 `+ I9 ]+ p1 t
end" z5 @( Q: x) c3 T5 `$ k6 L

$ R; s1 i$ a/ }* \3 Q4 w9 a. bto update-plots2 ~. s& j$ [* o" I
  update-class-plot9 H4 p: {" c2 L& ^' q% }7 b
  update-class-histogram2 {) v3 S1 a5 f+ ?# L0 V: K
  update-lorenz-and-gini-plots
. I+ [- ]6 t' T' N/ }9 m1 vend
9 g- N- q+ Z2 n1 i6 E- f# W/ k; I. d' v4 P
to update-class-plot+ w, N, l. {" Y" C( x; U
  set-current-plot "Class Plot"
& C0 r. p, [7 F; e: F  set-current-plot-pen "low"
" S* \( z6 q% [  plot count turtles with [color = red]
; B, P5 L' ]3 g: g/ Z+ d& W  set-current-plot-pen "mid"
9 L; @. \7 i. q, R6 x. p6 k" X  plot count turtles with [color = yellow]# J( V9 M+ D2 S0 s" w3 k
  set-current-plot-pen "up"4 O1 V5 }5 Q. J3 {6 E% `$ q
  plot count turtles with [color = green]& p2 X* @( R9 |. _- f
end
' ~4 G( T% a, Z5 W, B
5 D2 s  M: V% G7 B" v' }to update-class-histogram
) E6 g  r. j& r/ v# x$ |/ E  set-current-plot "Class Histogram"9 U: h1 w" A+ E6 }2 \7 Q1 V* m: U) }
  plot-pen-reset
6 w/ a8 P* j: r0 U! h/ y% w  set-plot-pen-color red
, }. B/ \+ p$ x+ w# P: B$ L  plot count turtles with [color = red]
4 [6 |* B2 k1 t$ o, q3 v  set-plot-pen-color yellow
5 [( ^9 X* w5 I" o3 `  plot count turtles with [color = yellow]7 X& U5 G, E* T
  set-plot-pen-color green
0 u8 ?: i8 A# E4 N# R  plot count turtles with [color = green]
  G3 z: g; s# p' ?- uend2 N: D, o# M  o( f; l
to update-lorenz-and-gini-plots
0 ?. b: ?3 o9 s3 r  `0 m  set-current-plot "Lorenz Curve"
9 e9 i4 A# H: r" i. x$ }  clear-plot; s/ m6 `4 F- B9 J0 C) a
4 ^: Q: r$ z$ L; M
  set-current-plot-pen "equal"
& V/ Z$ n6 v9 l  plot 0
. @! r2 S& e3 E# ^& T7 v; i  s" j  plot 100
0 I' Q! ]/ k. e6 A( h# |# [  L, q# }( N% U
  set-current-plot-pen "lorenz": X- Z. a7 g# J# p/ U
  set-plot-pen-interval 100 / num-people
7 w" ?4 j( U/ N! v  V  plot 05 J' `6 p5 L  z% f+ H2 B

9 H1 N! j$ E0 f" @) E( `  let sorted-wealths sort [wealth] of turtles% u8 a2 q) {+ x+ t! }/ o
  let total-wealth sum sorted-wealths2 F1 Q* J3 T( J9 Y
  let wealth-sum-so-far 0
: p, g. B0 s/ B+ `4 r  let index 0
+ U! y4 {$ a* N! K) q. I# b) Z* {& x  let gini-index-reserve 0
/ E* `: S+ W* B% A' _) e+ o! l# x6 ]! e, z! u2 P
  repeat num-people [
6 H9 @) m- J) |    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 ?8 N& x8 ]1 U$ ]- X
    plot (wealth-sum-so-far / total-wealth) * 100, @# A  I  ?( Q3 G& R% E
    set index (index + 1)
& E- D% n+ f4 `8 w; ]7 L) M3 q    set gini-index-reserve
+ @: V+ f7 r$ T4 M1 {! B      gini-index-reserve +
+ [6 M; f* S. t0 S, Z( u      (index / num-people) -" t, F3 b2 L: H- G7 ~4 G9 ]3 x
      (wealth-sum-so-far / total-wealth)3 I: O0 i. U/ W1 ?) {
  ]
: y/ ?) V  ?) I6 o8 w+ ]
: G& U, F" T% b  set-current-plot "Gini-Index v. Time"
( L- j/ L$ ]; V  Z  plot (gini-index-reserve / num-people) / area-of-equality-triangle$ @2 O; m: V/ J1 \  L0 R
end& C9 y; T& J) i9 J* w. y& p
to-report area-of-equality-triangle
. q. Z1 Z& F3 V% T, y4 {& o  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)$ g5 ?8 n- }) L/ O$ m; j
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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