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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
! p& k0 e; }, ]8 [/ w6 g! Vglobals! `( m2 k% P. l4 \; Z& S
[
1 i, k- i- h2 q) `  max-grain    5 r, D  Q+ N* X: |+ {# V

- L; `$ V8 ^+ h) u# S- T0 d) W]
1 Y9 T+ }  L+ M. B$ v8 q
6 l" ]0 q. S2 |! _% V. y  r3 C( lpatches-own
1 |0 [5 A) l& t[0 I+ v# B2 p1 S$ V
  grain-here      
; I, Y" H1 P& m  max-grain-here  
9 W- b" W0 {! c/ E+ e2 o) G; |]
/ g  G$ R% R% B' Z- H6 T8 u  y
" H  c5 v# Z* l" x; [$ v* Q( W  _: Aturtles-own1 e+ N/ x9 ^, h) l  x* `" p2 @: Z
[
! D- m9 r# h2 C6 U: X) Z0 ^  age              $ y! s8 J/ U2 `; u2 U
  wealth         5 z2 j0 [  Y6 h6 }1 f( l9 ^* ^
  life-expectancy  
- J" M3 F9 A# v2 M2 I0 D) C1 q  metabolism       4 P/ y3 W, v! }. K3 D
  vision  T0 V; y# J' F
  inherited         : U$ {: p% z. o: j
]
, h9 y  q, O# f7 A6 u: t7 t, Z( p. c% L+ |% H% H; c6 y

; I  r6 h$ }  A5 L. p8 jto setup
4 C9 ?8 C- K+ m2 e. y5 K  ca7 J, J3 a5 Z8 _; o' K
  set max-grain 50
* \& N' R- C; p  setup-patches
2 G9 T/ L7 \" Y8 s* D  setup-turtles
7 L7 F' \: G) t9 @+ ]4 I1 ~9 d  setup-plots' f9 [% [' U- E5 w* M7 m8 P
  update-plots" a. [* v7 K0 N$ A7 H2 I
end1 Y& m1 [! U3 a+ c' S' {' y
to setup-patches
; ]! H) {- M' N) m  ask patches
% S. _* Z8 e# U) L    [ set max-grain-here 0
' {, C; H- s9 J! `6 o      if (random-float 100.0) <= percent-best-land" d' v5 \  y) ~8 o- z
        [ set max-grain-here max-grain
1 m. \: g6 K; f' k  L          set grain-here max-grain-here ] ]
1 X" ?4 [6 D. H8 o  ]6 D& @  repeat 5, i/ ?6 D4 m2 i- }
    [ ask patches with [max-grain-here != 0]
' w! c/ H9 ?9 O& C% a        [ set grain-here max-grain-here ]
( a5 O3 M* I" {2 J% _/ Y      diffuse grain-here 0.5 ], E7 ~) [. P1 k. x
  repeat 109 ?9 r8 y1 N) `- w0 u
    [ diffuse grain-here 0.5]         
9 N' W4 d# k7 H* Z" @0 r  ask patches
6 ~# Z3 g! n/ r& `6 |, c/ h    [ set grain-here floor grain-here    0 E, `% k7 [; |/ |# o
      set max-grain-here grain-here      / F9 A8 u+ a& H% [9 J6 `+ A! u
      recolor-patch ]% u* k* Y, U2 i6 o$ w* ]' y! a
end
8 W% Q( v/ i1 yto recolor-patch  
9 E' u- ]; N3 C# x& _8 m& G7 Q; [  set pcolor scale-color sky grain-here 0 max-grain
" x9 A: ]. e6 _7 k$ S) T6 i0 n* z4 lend; q; d/ D% [* R# J
to setup-turtles
2 W5 n3 A2 n, o8 s4 ^7 K  set-default-shape turtles "person"
. j  m9 X) c  b$ }: o  crt num-people! I& R9 H5 ?  h: d3 j' d+ R2 @
    [ move-to one-of patches  
; d) F! P; K8 Z6 p6 W- \  I      set size 1.5  ) J: K  _% Y4 E. g
      set-initial-turtle-vars-age" u0 {) q$ }4 [1 D2 _6 {
      set-initial-turtle-vars-wealth' d$ {" q7 J& e3 k$ @3 g4 }5 r
      set age random life-expectancy ]
7 o, s2 u5 Q+ t: f  recolor-turtles
5 P+ W2 y+ M$ z; Y( x) wend! Z  [3 m' \) e7 Z3 x& D
* z& S' m* j, D) g. z: \5 h
to set-initial-turtle-vars-age  v0 ~% s$ \" w
let max-wealth max [wealth] of turtles
# ~+ `1 O& x8 l; ~0 ], Q    & D/ I  F6 p5 N) N5 y: o
     ifelse (wealth <= max-wealth / 3)3 E1 B  [: r! g- x% S/ ?2 u
        [ set color red
7 c3 z! l0 a) A3 H. I          set age 01 F8 R5 N/ u3 D; p9 l& e
          face one-of neighbors4
2 }9 i# H, B& K2 Q% H. @4 j2 h% r          set life-expectancy life-expectancy-min +
% J& E3 O. y9 x6 X- B                        random life-expectancy-max 3 X" `: C: i( r# Z
          set metabolism random 1 + metabolism-low& m" |5 c  F. }$ @; X# r6 g
          set wealth metabolism + random 30
9 _/ x6 B% W# s          set vision 1 + random max-vision4 u8 {% g0 P) o2 i
             set wealth  wealth +  Wealth-inherited-low ]
9 P8 z1 _$ A3 A% ?0 o( Q        [ ifelse (wealth <= (max-wealth * 2 / 3))
# K6 U5 }) ?' @1 b. w            [ set color yellow , j/ g. D7 Y' p+ k* f/ m! `9 A7 d
              set age 0
$ D) ?* Q  _6 y6 Z              face one-of neighbors4
" K; N7 Q8 K7 O: y5 {5 |' q              set life-expectancy life-expectancy-min +" Y3 L, y* R" ?) w$ }3 M" U
                        random life-expectancy-max + 1
; ]1 ^9 ^( g6 |( w- _1 Y              set metabolism  1 + random metabolism-mid
" y/ ~6 t* P' l7 F* [; {              set wealth metabolism + random 30
/ q  |0 R/ v; V" d. d              set vision 3 + random max-vision
3 N; R9 j. f2 U" d3 Q0 a: j                set wealth  wealth + Wealth-inherited-mid]
; I2 k5 u$ ?& J( m6 v  r            [ set color green % b" J. c. H$ B' x/ k
              set age 0
+ I1 Y9 C" k( `: @3 S- h              face one-of neighbors4 9 N( E/ `. s( L/ _  R( l7 C9 |2 }
              set life-expectancy life-expectancy-min +5 E' Q. I8 P& ]1 P9 q, e( C+ J
                        random life-expectancy-max  + 2
- y% W4 j' P& C' x2 X" H# _2 U              set metabolism 2 + random metabolism-up
6 A  q$ J, \; R* B# e# g) B              set wealth metabolism + random 30
' v9 x8 V0 g, T. p6 u  q% i              set vision 3 + random max-vision- q8 S% Q) Q$ p3 H3 c
              set wealth  wealth + Wealth-inherited-up ] ]
$ R6 H, w/ J/ r* y$ V2 j
$ C2 R; h+ B0 H; N* q( Pend9 V# `; d  B4 L$ N  ]  n: K
to set-initial-turtle-vars-wealth
! c, l9 Z% ]+ i$ s- v let max-wealth max [wealth] of turtles
0 l+ {$ |* q7 c) R          set age 0' {; s/ G5 H* q" F) G! [' T
          face one-of neighbors4
( ^( V, G8 Q$ K1 C/ @8 l7 i( |          set life-expectancy life-expectancy-min +9 y# P( x9 Q) f+ ^8 \
                        random life-expectancy-max 8 ^6 H6 K& d' E6 u3 Y
          set metabolism 1 + random metabolism-up
& k( u! }# I6 a7 n          set wealth metabolism + random 306 ]$ E! w* m+ c! `8 _2 T
          set vision 1 + random max-vision
0 Q! W, {6 y$ m. Yend
4 [" a- p7 l% ?$ g9 t, t9 Oto redistribution. s( r5 m! N& m  [' `
let max-wealth max [wealth] of turtles$ f2 f8 \1 J+ J
let min-wealth min [wealth] of turtles
: u2 R+ k8 t6 _- F" R  U  Jif (wealth <= max-wealth / 3)7 W% D, I6 \. S+ L! z
[set wealth  wealth + Low-income-protection ]
7 _! V: y& X: a: C1 Fend
/ F  |( t- W$ J- A. U5 o( ~6 J         
) u& p. b0 R1 D# Yto recolor-turtles
! N# T1 i* @* d2 t  C$ c  let max-wealth max [wealth] of turtles
# K3 o) R& w4 e4 ]  ask turtles' A  |* x; `7 j7 \
   [ ifelse (wealth <= max-wealth / 3)' T4 [5 J  h& d4 j( `
        [ set color red ]* I5 P: x- }* H! A8 c
        [ ifelse (wealth <= (max-wealth * 2 / 3))- p& Y* F7 X7 z& P
            [ set color yellow ]
9 p3 M, X  }# n8 `            [ set color green ] ] ]
! i% G! b, t4 I$ E. M5 p) F7 W ask turtles [ifelse show-wealth?$ a0 Q& [- J1 r& [( t/ G
    [ set label wealth ]. s1 Y* _9 @( D! L
    [ set label "" ]]" T* K/ F) E" k& c7 T
end
! i/ A, O2 C3 Q. S" ~& \
3 Y1 q6 k4 [, v2 B, fto go+ |9 C- y# L' ]7 |7 y6 H) G
  ask turtles
# ~: s* d% _" W. }; J    [ turn-towards-grain ]  6 G$ z2 z# X1 Y7 m# V) n& n3 v. Z
  harvest
/ u- H+ r4 u, T1 B  ask turtles( y- O( b9 d( j5 u  T& Y5 R" x
    [ move-eat-age-die ]
9 l' ~5 k* b( l  recolor-turtles! G% z7 x9 E9 o' _+ D& _
  if ticks mod grain-growth-interval = 0
# J' O6 i0 [! M+ }  e5 Y! L$ u1 A% K    [ ask patches [ grow-grain ] ]
8 k3 M+ _3 M* Q7 A5 |   7 W' ^. L) ]. ?, C: k4 s
  if ticks mod 11 = 05 a; i7 q  d( _5 W
  [ask turtles
. ?7 I2 C5 x' X% K: w; T5 ^  [ redistribution ]]. A/ D$ p: a0 u7 f
  if ticks mod 5 = 0( v6 t+ h4 f+ s& N
   [ask turtles0 q2 d" p, Z- |# s5 R
  [ visions ]]( M! |# ^# O, O/ u9 G' h% X
  tick
5 l* r5 k' `% ^8 e8 D% ?  update-plots
5 H/ U# A! X% h5 M0 L. Jend) A$ K% C& Q+ S$ C! [* G
to visions1 U/ B) S; Y7 z% i7 L& [
set vision vision + 1 ) O3 Z2 O5 Q; _
end
* S/ Z* [! R. K* [( q) Y
* t4 o& f6 h4 U+ ?5 R4 a
- w4 Y& T- }$ @" Q* T# [
# q/ q' X) C! r7 R9 Jto turn-towards-grain  ) j9 y: H3 Z: d; R/ v( N
  set heading 0
! I  H( m0 F8 A! i1 l7 G% c% w7 M  let best-direction 09 K& h; L( u) D2 I" ~: P
  let best-amount grain-ahead
6 c5 m' p2 }# I' `$ W# X  set heading 90. M, l6 Y- o/ I4 M" l) h
  if (grain-ahead > best-amount)
4 u+ _. I. x6 ?    [ set best-direction 90
- ?) \) m5 F! u: [. ?  S      set best-amount grain-ahead ]
. I) r- b5 R- i- J4 V  set heading 1801 B/ n' e- j' ~/ m2 j
  if (grain-ahead > best-amount)5 k& b2 ?6 s/ D5 \/ R9 w
    [ set best-direction 180
* H: e2 j7 g! n4 Q' f! e      set best-amount grain-ahead ], ^9 }) H9 s$ |% l0 i% {- Y
  set heading 270
/ B; c3 u/ C! @' o: u/ H  if (grain-ahead > best-amount)& F  b% F! F* k) S
    [ set best-direction 270
7 ]8 K: T' Z( Y% G; E3 L! V      set best-amount grain-ahead ]
, Y- @' w2 c. x* H1 }' Y  G$ H3 p8 u  set heading best-direction- j% x. G- H5 G, a# T2 o( A
end2 `+ }5 u# ]* r

3 y) b2 n; A% }+ ~4 L  ^) `* P3 }6 \6 I" D
to-report grain-ahead  
' H# G% m( {. I  let total 0
  [. f2 P+ |! |  let how-far 1" @% @6 u5 P, w1 b. y7 v$ j$ \
  repeat vision
( j5 A- z$ V. F( ~, _    [ set total total + [grain-here] of patch-ahead how-far
* e3 M$ Q- i$ j6 K/ p0 U      set how-far how-far + 1 ]
: Q5 b# u% S9 A+ h3 |# l  report total
& U3 o5 i  X# C% Y" L5 v( |end* J' D( R4 f9 m3 h9 d' R( ^

) y* q$ m2 X# s5 G( ^to grow-grain $ g2 h( A! w4 {4 I( {% H, ?' N5 k3 P
  if (grain-here < max-grain-here); q# p! M& X- c
    [ set grain-here grain-here + num-grain-grown
$ ?+ P5 W  G+ i+ ]0 j7 B      if (grain-here > max-grain-here)
2 V& P- [* O" h5 A# c: `' r0 L        [ set grain-here max-grain-here ]& P8 l& z" N( ^& T: G
      recolor-patch ]
# \# E1 Z8 ?" W% ^$ N% ^end
- ]0 U( S4 K; ?5 r/ t% U2 ]to harvest; _  A" P0 d6 Z5 C" b9 I
  ask turtles
$ j3 e6 V- Y: A0 O& j% v    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]  r( ?( c# W% m7 a& \* y
  ask turtles
; s- L; O% C5 w: J' ^8 X1 l    [ set grain-here 0! G' x6 Y. u) ]
      recolor-patch ]- K! r/ w2 X( i- F+ @
  * Y9 k  p$ S0 a/ T+ R2 ^9 R
end
5 t8 M" W( u7 G: N
! z% Q; W8 z% m6 x1 m" ]6 f# r6 Hto move-eat-age-die  * q5 c! z# K2 J' J! t+ v, _8 ^+ t, r
  fd 13 ]. _9 P: c9 k- G" @% r$ |
  set wealth (wealth - metabolism)
# d, ~2 x; e' [0 \9 {" `    set age (age + 1)& B) w8 i# `: m  ]0 z- @( B# ?+ ?
  if (age >= life-expectancy)* d- Y' v$ t4 Q5 `8 f
    [ set-initial-turtle-vars-age ]+ _8 K  }& K( a; i* h- v7 D! i9 F0 [9 t
  if (wealth < 0)9 e5 z" O+ d/ @, Q
    [ set-initial-turtle-vars-wealth ]: F/ j/ ]- H" C3 @' Y3 Q
   
0 L6 s3 V! O9 M+ a, h6 qend
7 }& ]1 L6 x6 q" A& p
2 D5 n3 F! D" [0 ?$ ^0 \8 `# C1 n% o% T& N) f" A
to setup-plots( q/ W. J, ?  }1 ^# X
  set-current-plot "Class Plot"; z  z! |/ Z1 P  E; ?# M5 u7 ?
  set-plot-y-range 0 num-people
3 ~& I3 m, M& c7 d+ z$ W  set-current-plot "Class Histogram"& B5 }$ Y! Q6 r6 ?
  set-plot-y-range 0 num-people7 r/ e& R: P- _* X- Z8 v! j* n( s
end
+ u& T1 ~' w2 p. ^7 X, Q" W1 D4 I# O
to update-plots: j7 j- ^- }0 Z$ b  {: J% U
  update-class-plot
/ X5 T/ F! Y5 ?* _$ {7 Q  update-class-histogram5 Z# e, L6 y' m9 ]/ F+ L' k
  update-lorenz-and-gini-plots
4 w% d, U0 @( A3 v0 r. e4 T" Zend
8 W0 \: X: Z9 X0 O; q8 `! k
2 l7 y+ a/ L* P$ H* g- dto update-class-plot
- s4 ]) f( G: `+ t% h  set-current-plot "Class Plot". \  M% }+ V. d) P, B5 M
  set-current-plot-pen "low"
" B3 ?+ A* N4 {8 ]: I) A  plot count turtles with [color = red], a2 m1 u: Y" D1 [
  set-current-plot-pen "mid"
. l- M2 Q- [) E& T; Z  plot count turtles with [color = yellow]3 e! Y9 E; p2 t2 B/ {, s
  set-current-plot-pen "up"
$ ?( ]8 H7 F, B( w  plot count turtles with [color = green]
- p4 m( d6 q: {8 X7 Pend
; d+ W: }) k2 t; I
6 k9 E' Y% O0 E% A) W( H4 Q% }- Oto update-class-histogram; k9 u& n' T! w: b4 M5 G3 ]
  set-current-plot "Class Histogram"( T: U  I- s! K! |% f" r0 B" B
  plot-pen-reset
. j& e7 }/ T1 ~$ M" s& B$ P  set-plot-pen-color red
' `! @4 \) d$ R% U; l5 f  plot count turtles with [color = red]: p  f# _" Q1 k! n" F! F/ l
  set-plot-pen-color yellow7 N; r3 S8 z; z% d) I6 V: s2 q
  plot count turtles with [color = yellow]
  Z7 `6 Y( I9 Y" I  set-plot-pen-color green& ^/ x: S% ~6 H7 w
  plot count turtles with [color = green]
8 h& ~% R  k$ u) {2 ]' O" w, H+ D+ eend
3 o8 q6 W( N7 b, U4 B) kto update-lorenz-and-gini-plots" v, s( f7 p+ M+ Y0 p$ |
  set-current-plot "Lorenz Curve"
$ |( q' y: A7 q  clear-plot0 i# b  g& r* x+ C0 a7 A  I
2 A) J" M7 X3 p1 ?' f
  set-current-plot-pen "equal". |) N% T: W& K; h# \- D
  plot 0
; n: g: K* w+ K' g8 {  plot 100& t0 Z  I0 {7 A4 {7 z
3 k8 z$ d& C0 z( M" i& d
  set-current-plot-pen "lorenz"
$ r4 \8 S( O! j/ {4 D" L  set-plot-pen-interval 100 / num-people1 u6 U. I1 X" M1 @5 B6 B% ]+ r
  plot 0# {1 S. D; y: j
, a  H. j; X7 p; {4 x
  let sorted-wealths sort [wealth] of turtles
9 ?8 u% Z2 u' i  let total-wealth sum sorted-wealths2 {- e/ k+ m) w  t. h/ ~: V, ?
  let wealth-sum-so-far 0% B) q8 x  d. B5 y8 I$ w& e
  let index 0* \& F# ]* ~' C
  let gini-index-reserve 0
8 g- O# q- w8 Q: p$ w/ T: ?: Z7 i
- E: D9 W# l* P! o2 _# y( F  repeat num-people [) Y/ m' d( j2 y( y/ O+ c
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
/ U2 l6 s& O- c. Q" z% f" q5 [6 C& Y    plot (wealth-sum-so-far / total-wealth) * 100
7 x& l4 Q  @, z" [- t    set index (index + 1)6 ]3 l# O% i! `) q) I4 L0 A9 ^
    set gini-index-reserve
8 D( f/ ~5 O2 V6 ~3 R9 L2 I/ @      gini-index-reserve +# p! K" H1 a. S2 u
      (index / num-people) -  |' G+ i9 K' l: H& g5 N! V
      (wealth-sum-so-far / total-wealth)
5 g7 X0 r+ Y$ o7 l% r; \9 o  ]7 ^' C% B/ c5 f4 ?3 k. u2 }+ e

, @. s1 I! h& R( f" p; ]  set-current-plot "Gini-Index v. Time"' W1 P' P, P$ i5 g0 F! `
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
% r; r& V* F/ o; _- d- mend
& p7 h& B- H3 e7 S1 T1 `' \( U' `to-report area-of-equality-triangle9 |4 M$ [! v5 I; V9 s) V. Q
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
/ ]# D' j$ b( Gend
 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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