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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
# v  N7 x$ ], H6 Wglobals  o- ]& R% O; |9 |& B2 j5 A
[
; P3 [  Z3 I8 d* n1 K  max-grain    7 L7 Y2 G9 C0 \

4 b6 b$ T0 H0 v% Q0 b8 _8 l4 e]/ k9 E! M9 t9 `9 w0 P
  \  A' o* {; V2 w' h  X! x
patches-own
" I9 Y9 N8 d6 c3 ~4 `- U  i[
% M6 w+ \; O8 T! O" B" ^- J  grain-here      9 R8 ^" s4 s, v0 W
  max-grain-here  $ `3 ]! T+ y" I: Q8 Y
]
7 x. E6 d) x+ J7 ^& |
0 F! j) X" o0 H* B0 ]turtles-own3 c6 f9 D2 i% ^' z* t+ m; Z
[! g% M3 b8 Y- f6 G# m* v- r
  age              
& i" y" D3 z" H! L  wealth         
9 W- q( i& ~4 H  life-expectancy  ; S0 A2 w; Y# `* Q( t- m, c
  metabolism      
5 d3 l1 \$ V6 D: L0 L4 ?  vision, d- V4 t% [. X! i# C9 s6 ]/ F' G0 |
  inherited         ; ^$ m0 ]0 _# y: ?& t' C
]
$ |. |6 Z* H7 y9 ~2 f  C) f. O- L( B: T' \7 |+ h
/ j+ p/ s: ]5 |% k
to setup" N! u# T( q" e
  ca1 N0 x" w# D. L
  set max-grain 50! Y8 s/ `/ u& K* i6 [: @4 s; ]9 }* I
  setup-patches
" M; r6 D* J" `& l' v4 o3 I  setup-turtles3 M0 p, j0 \; G- e' O" }( B
  setup-plots9 l6 o- x! Q# i, W) W
  update-plots' V2 D7 [% v* u) u7 Z
end; H5 Q  {2 H- i) |
to setup-patches" H4 A- f: Q2 N" w& ]
  ask patches
2 [5 f2 a( m9 z/ S. i. ^4 J& Q    [ set max-grain-here 0& X6 Z5 O- e, r
      if (random-float 100.0) <= percent-best-land! E" P# I3 M3 `5 Q: g
        [ set max-grain-here max-grain
0 _/ [. Q& R) }: a          set grain-here max-grain-here ] ]( Y, m7 r# C/ X, A; p! c3 i- `
  repeat 5
* w" f0 L1 V3 E% K9 `, n    [ ask patches with [max-grain-here != 0]$ b! i9 H) g0 c6 F# u- A$ f
        [ set grain-here max-grain-here ]
3 y% E7 C# f8 i# Y: [. l$ B. _      diffuse grain-here 0.5 ]
, W( D5 H/ A5 ~$ I" g7 V0 J1 }  repeat 10
. N% ]' L0 j3 Z2 F" L" e) u8 q0 w. I    [ diffuse grain-here 0.5]          6 \7 w6 j! [. F' e
  ask patches" {4 ]: J. x* b! P9 d: j. o
    [ set grain-here floor grain-here   
3 g3 X8 S( J, e1 m" C) q      set max-grain-here grain-here      , Z! b: q# q9 N7 I
      recolor-patch ]
6 t% _5 F  K8 n+ [6 T! Gend1 A7 D2 _* \/ F8 D2 |6 p
to recolor-patch    L* ]3 q( a* S+ \
  set pcolor scale-color sky grain-here 0 max-grain
/ U$ F2 i* O5 q5 F& n% t/ Hend
" e9 M1 @0 i8 k  F5 J, a8 J& Y' U6 bto setup-turtles$ \: J4 i3 u7 a1 q; r
  set-default-shape turtles "person"6 V: V; p, p% n# y  l
  crt num-people; E4 H/ I7 H- m! s( ~, \7 S
    [ move-to one-of patches  ( [' U$ T0 I- M3 C# a
      set size 1.5  1 I" v' O% a+ W& f3 G0 H* B
      set-initial-turtle-vars-age$ H4 ^/ ~+ M) k' E1 P$ W
      set-initial-turtle-vars-wealth
; B3 F  C9 D$ \- N! u3 Z; C      set age random life-expectancy ]
4 w( h) g/ b. n6 O# e  recolor-turtles. }; t7 f' g4 k2 j; }, R) t$ ^
end7 S$ D( W/ i; X
- C: P7 Y& v; P, o. V  s; J
to set-initial-turtle-vars-age5 u  t5 h: r; z
let max-wealth max [wealth] of turtles
& j) B8 w- x1 C* p6 a$ ~, i   
$ h/ r1 v% F+ a" z  n+ g     ifelse (wealth <= max-wealth / 3)0 H+ H9 F. w9 k! J
        [ set color red
; W. i) ^  {4 ^7 `5 [7 @* u          set age 0$ r2 R# k: c. X# J2 W3 R
          face one-of neighbors4
1 U7 z; e& m, _1 ]          set life-expectancy life-expectancy-min +9 H" W( u4 ]9 C* W/ ^0 d1 t
                        random life-expectancy-max # i6 ^9 S+ r, D- c
          set metabolism random 1 + metabolism-low$ ]4 B* w4 b: m( A; x
          set wealth metabolism + random 30& ?( O; B% y/ C1 L, N0 o! V( [; I
          set vision 1 + random max-vision/ y# h9 e1 D# C4 |, h; `
             set wealth  wealth +  Wealth-inherited-low ]
  q( E/ \) q+ n/ z0 k# D4 Q( t        [ ifelse (wealth <= (max-wealth * 2 / 3))
6 S; V. U% }# W; Q            [ set color yellow . ^+ Z" V6 i' h' `
              set age 0
3 }3 \- _# c8 B) l              face one-of neighbors4 7 n2 t( K  S# S9 C+ N% V$ t
              set life-expectancy life-expectancy-min +% ^  H0 k6 N. Q6 i8 V, T5 b
                        random life-expectancy-max + 1" V( o. k6 _9 |' q* s. B$ `+ x
              set metabolism  1 + random metabolism-mid# _, N& a0 B7 w. g' |
              set wealth metabolism + random 30
$ j# b1 q1 ]! j5 b! T  `              set vision 3 + random max-vision- H3 Z$ |. m5 I# U0 m. w5 c; V
                set wealth  wealth + Wealth-inherited-mid]# L' C* s/ J# B" m" n9 p
            [ set color green & n, u. f2 b: \9 ~. Y
              set age 0% o; L! B$ `# \9 I: B7 j: V' e
              face one-of neighbors4 & K/ f9 v$ ]+ F- M5 N; k; Y" o3 o
              set life-expectancy life-expectancy-min +3 K( Z" A" h3 |  @* J+ R
                        random life-expectancy-max  + 2
, v- V7 ^* r0 b3 ^8 s) N" Q              set metabolism 2 + random metabolism-up
8 A* l0 E8 E) ~  H! O  J              set wealth metabolism + random 30- c- l7 V0 U0 J8 b) q5 _; c% a
              set vision 3 + random max-vision( w5 [/ y$ ?9 ~( e0 k( H8 f
              set wealth  wealth + Wealth-inherited-up ] ]
' c2 v' }/ g3 \5 _6 k9 k) g' l  K/ A; ~& A
' T6 s8 L4 l; P* xend
2 k! O6 M; g0 R) G. Y/ A  R0 Lto set-initial-turtle-vars-wealth. W- @7 Z+ A* J! z. \7 O/ W5 D8 q
let max-wealth max [wealth] of turtles
4 k. p0 S' K, ~7 q! i2 ?# f9 e          set age 0
4 j7 B( H; x  l5 `' v3 K6 K          face one-of neighbors4
1 n. V4 j% \9 P3 z          set life-expectancy life-expectancy-min +5 h( L3 z) x, T+ o& t% A, W
                        random life-expectancy-max - q6 F5 h2 G& r. e
          set metabolism 1 + random metabolism-up# a- ^' G9 H, b1 v4 \3 f9 t
          set wealth metabolism + random 30& U. K3 M4 ]5 _5 V
          set vision 1 + random max-vision # a# e6 d, z$ k; |) g- U6 V$ \
end
( l. _) _* y+ A8 R* h2 Zto redistribution
9 O7 z4 |8 ?; R" h; z5 l- t( B5 f6 X* blet max-wealth max [wealth] of turtles! S$ d0 P( {0 k5 s' P
let min-wealth min [wealth] of turtles
& `0 k. T* d0 n9 z  Hif (wealth <= max-wealth / 3)
* S6 L- R0 X+ G8 n* S9 P2 G [set wealth  wealth + Low-income-protection ]
5 W  M: z' i. a; qend# W- ]: g! v' H! H) Z
          / _7 S- p) x9 b
to recolor-turtles
+ h; W  X1 H/ a  ~: F  ?! i2 K  let max-wealth max [wealth] of turtles
7 T# I3 D2 {( Z( w) ^7 O5 G  ask turtles5 M% Z3 X/ @/ R4 o8 R  p$ u
   [ ifelse (wealth <= max-wealth / 3)
4 {' z* K7 u- l. U6 R$ k0 S        [ set color red ]
( o% G; T7 z1 Y& M2 ~* a# Y1 b        [ ifelse (wealth <= (max-wealth * 2 / 3))4 ?+ \5 A; n& e
            [ set color yellow ]9 Q$ n/ i. n7 r( u3 R
            [ set color green ] ] ]
; F# u7 q* [# Z4 E. Z0 ^ ask turtles [ifelse show-wealth?
" ?3 U$ s. o# ?    [ set label wealth ]! I8 S: D8 c) }6 `: ]
    [ set label "" ]]
( M8 c7 G8 J7 J$ U% ^! U1 Bend* q7 b4 c1 R# a3 [) K, D2 X. H4 t! q

' y% z, b* [/ a8 v& sto go0 a" c. c0 d+ L# f4 e! a
  ask turtles
6 |: d3 T; q6 O- a7 Q; a+ d    [ turn-towards-grain ]  " d! f4 y! J5 |7 h0 {
  harvest" Q, P5 H5 o/ W$ ~
  ask turtles
1 U8 u5 V5 q  ~1 D    [ move-eat-age-die ]
/ c$ Y& I4 a  P& L. ~4 k1 O  recolor-turtles, R4 e& C0 A% s- g( \9 C* h% `
  if ticks mod grain-growth-interval = 0
8 X; H! T5 X4 @9 O: m    [ ask patches [ grow-grain ] ]
! p. S) X: H: S* G0 v; C: G' x   / T% T8 Q8 S2 ]9 l9 K  P
  if ticks mod 11 = 0- ?2 ^3 v9 s8 t2 `
  [ask turtles
  d/ e( v7 ?! A  [ redistribution ]]$ N' r5 `5 q9 z0 ^" W' O
  if ticks mod 5 = 0
* E+ B: O) f! A% e$ X* O9 Q   [ask turtles3 |* ^, _) F( c" G& ^. Q
  [ visions ]]
- O  ]# r, p0 N' `5 I+ M2 c  tick
" L  [1 [9 V; h! N7 f, g7 C  update-plots
3 ]! h1 I" z0 ]$ @1 e/ dend
% V* n$ R- I/ b6 U. U/ _& T# gto visions
# b. |* O6 \0 e3 x& x set vision vision + 1
! y! f# G8 b0 f5 C9 T) Vend& w5 _. g2 i/ B8 l8 o9 M4 |
2 j) v( a  ]" ^# _+ Z3 w2 c( i4 Z
! e9 Z. l0 t2 x2 `* Y

; U- _  J' }7 q+ O5 Tto turn-towards-grain  % `3 |6 J& t8 v- z2 M7 T# g" a
  set heading 02 s" ~1 j( j. N1 ^6 O: \: m+ I& j
  let best-direction 0
$ G) J4 R( l8 @, G  let best-amount grain-ahead8 {2 C5 ~3 l" S4 v
  set heading 90
$ G6 j) Q5 x6 v( w6 C  if (grain-ahead > best-amount)
+ k0 K1 W2 D* a! a7 z    [ set best-direction 90( S* B# f1 s$ p
      set best-amount grain-ahead ]
4 R2 a$ M; F, y$ ~( _  set heading 180
# m/ X' C$ }" C; R  if (grain-ahead > best-amount)
+ w1 M) }5 s" K+ j( W: x    [ set best-direction 180
- W( `0 I* b" y5 K- s2 u( {0 X: k      set best-amount grain-ahead ]
- s: D# R- d% `. {3 w  set heading 270
6 _4 ~% D- S5 @; J+ L+ H! M/ s9 o  if (grain-ahead > best-amount)
5 @3 X/ ^5 M1 y- ~, V; Q    [ set best-direction 270
5 r6 ^5 R8 Z& c0 m. |: x, W      set best-amount grain-ahead ]5 O  L+ d5 O6 y& R' @, ~/ z. O+ m
  set heading best-direction% Y& e! M0 ]! F2 U7 x! V/ J- r
end: G6 j) d' C+ U" s

) S" {/ Y8 Q8 O5 e
0 k7 s* H  u. Q$ ~to-report grain-ahead  
/ V* \+ s( L' b1 H( m  let total 01 L( H' Y" N5 S# ~
  let how-far 1
" q- k+ p: P! W  repeat vision
' ]. @% Q3 t& @: H0 X7 b    [ set total total + [grain-here] of patch-ahead how-far
! K# Y4 k3 p+ G) h; s6 `4 e      set how-far how-far + 1 ]+ ^" W& ~3 c" e6 k- y
  report total
+ R2 h  [  _& m  U8 a) ^! Fend9 k% @# F3 U. D

/ k$ r- V* p( ]( _, V) N( P+ C# M$ nto grow-grain - {. B5 z  @; C* p! h) d- N
  if (grain-here < max-grain-here)& ^9 F! T  P8 _5 U/ S7 t- ?* R
    [ set grain-here grain-here + num-grain-grown
5 Z1 z* t4 H8 d0 d# v5 ]$ \! o      if (grain-here > max-grain-here) 9 u8 L' M( ^7 j5 t7 I' W! p3 `5 t+ ], E
        [ set grain-here max-grain-here ], W4 d% x) D! s: l' s2 G
      recolor-patch ]! J1 f! Q  c  N2 x" J7 A
end
; a9 T4 J0 R' Xto harvest8 h* k: h, @. N5 h; s4 d
  ask turtles6 A4 Y* g9 x. q" g' y
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]  T4 n$ }: [) F4 ^7 m9 t5 K
  ask turtles0 b9 K! o' F7 |! N/ X+ [
    [ set grain-here 0
( v+ Z/ ~7 x- j" z7 }      recolor-patch ]( @5 G  p5 s2 ^+ |
  
% a3 Q7 K7 O' E9 Z! `0 Jend
9 u" o7 U# \) A8 Z1 }9 I0 d  w% ?1 U2 |% |$ U1 M6 c/ K) v6 [
to move-eat-age-die  0 a" a5 j; c* `0 H4 ~+ T6 [
  fd 17 U" z/ C$ D2 {3 X  E5 c2 E8 P
  set wealth (wealth - metabolism)
7 w  l, b8 Q+ q5 V    set age (age + 1)
$ x4 v  B! ]: j2 m5 ?+ O) R3 r  if (age >= life-expectancy)3 C* v) K5 M  F
    [ set-initial-turtle-vars-age ]
4 z7 @2 n' |' H5 @% w  if (wealth < 0)* y7 B4 p  p  V
    [ set-initial-turtle-vars-wealth ]
# N  l, o. o3 m% ~0 l& a' n/ P   
. [! J; [* p3 |: vend) T3 B. T. ?( T# c  g7 N+ h

1 s) V( t9 U' E/ k! q! s. d$ {* a, U6 O0 C! J
to setup-plots
2 E6 N- {7 i4 c6 _  set-current-plot "Class Plot"+ {4 C1 c5 W- f) J/ S$ P1 H2 W
  set-plot-y-range 0 num-people
" F2 e* w1 s2 m1 H; n  set-current-plot "Class Histogram"
: m5 H6 x( }" G; R# a+ w! Q! Q: k  set-plot-y-range 0 num-people
- M5 B8 d# s- z0 f' o. z7 {end
0 r  {: B1 r+ j! g" a% P5 L/ C( y: h5 _; h, I& z, @1 O( G. e
to update-plots
" X) H! G: Q' U6 \/ I8 k  update-class-plot8 Z1 v3 e9 a) S% f" Q
  update-class-histogram
' J8 S9 z/ e* D! [  update-lorenz-and-gini-plots4 G/ `& @2 k( y! T/ x
end
8 `( z/ c3 G1 K( X0 l" T
0 c4 d6 n1 {! E( Qto update-class-plot( _& q( S1 T3 U% W4 D% Q
  set-current-plot "Class Plot"5 Q/ r  N. ]# Y6 z
  set-current-plot-pen "low"
8 L5 N  ^, o3 d. {  plot count turtles with [color = red]
! U+ |0 L9 k' f  set-current-plot-pen "mid"
: c; G* p& b9 h3 [0 C  plot count turtles with [color = yellow]# S  r2 |  q7 h  M
  set-current-plot-pen "up"& X: r$ }6 e3 _4 b1 G
  plot count turtles with [color = green]& W0 U- N! d' a7 k. t* l
end2 ^- {) D! _3 _9 L4 a/ A
( w' Z+ ^2 f" e% A9 F/ Y. U1 |/ W6 W( h
to update-class-histogram+ K# b) q* v, Y& t! S1 \! e
  set-current-plot "Class Histogram"
1 f7 p  M: u# _5 T3 }1 {6 w) O  plot-pen-reset
+ M  |6 E5 `/ G7 P& \& r: y  set-plot-pen-color red
$ k  i% |7 d+ R' t" x9 A  plot count turtles with [color = red]( O1 a1 k* Q* {) z9 B) n) _
  set-plot-pen-color yellow
5 z; O1 C/ w- q- G) h4 P  plot count turtles with [color = yellow]
  F/ d) Q. |! E& ~& W' b/ Q3 d+ G  set-plot-pen-color green4 C" d& L0 ^) B+ @7 V4 L* i
  plot count turtles with [color = green]
+ G; v1 w  B7 T3 Vend/ W) A! B, f3 L
to update-lorenz-and-gini-plots: Y1 O. L& m6 p/ Q3 U! z
  set-current-plot "Lorenz Curve"
  g3 b5 c0 M5 i! L/ W  ~0 S" \/ Q/ \  clear-plot! T, y/ Z  j- Q8 z
6 V0 j7 L1 N4 p0 u0 e: l
  set-current-plot-pen "equal"
5 x$ Y% m% w, O( |; u  plot 0
3 c7 g6 U9 g7 |6 Z( s  plot 100; F3 M* j6 m. }! z3 C8 x1 o9 K

6 t( y) m% ^7 @" V# H" V" d  set-current-plot-pen "lorenz"
! [1 S2 ], `  l# c1 g  set-plot-pen-interval 100 / num-people
% n4 r1 `  H) t+ ~3 N3 j3 G* X9 C  plot 0
" k+ ?5 {% E9 w: x% ?5 n, Z8 ~/ Q3 j7 y7 M
  let sorted-wealths sort [wealth] of turtles
% V/ z& R. h* I9 b: X, B9 P. T! P  let total-wealth sum sorted-wealths
5 l7 l% H0 T9 ^0 P% x+ Y  let wealth-sum-so-far 0
; I; X7 P/ j( B, t% n# W1 v6 T: C  let index 0
! ^0 U/ ~9 x8 j, `2 R: R. u: W* o) _  let gini-index-reserve 0% S9 c5 @8 H% c; C# V6 `

( b; W/ ?$ i9 _  r7 f5 z  repeat num-people [
3 a3 @" l' k3 G% f    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)+ b: f% E7 J2 H* i% K
    plot (wealth-sum-so-far / total-wealth) * 100
3 M3 _1 o5 X7 k) l8 Z% q4 a    set index (index + 1)
' I2 R' v6 j' Y8 q4 Y: Y7 _! P: z    set gini-index-reserve
% G) e7 A0 D" z* R% {5 g      gini-index-reserve +; y9 z5 v& j* n
      (index / num-people) -
6 `& W& j: J$ P7 K2 k      (wealth-sum-so-far / total-wealth)
# b* o8 T8 Y1 C- V% u( G  ]
5 V2 b/ e  }$ \5 c5 @
* Q% A9 S' c7 W  set-current-plot "Gini-Index v. Time"/ W* ^, A9 I* j% ]- |# k
  plot (gini-index-reserve / num-people) / area-of-equality-triangle3 c8 f: H5 s9 s. V
end' w; n7 h" N: [
to-report area-of-equality-triangle# J( e; X0 _; @; M
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2), M6 W! _/ K  B+ m6 G" M4 E
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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