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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) f+ O3 v, z0 g" u1 U$ G! Q! p
globals0 i# V" i" h- _) d5 D( t
[
; X8 s/ [3 ]9 c  max-grain   
9 V: X- G; n, F& _5 _/ f6 s
9 d: ?, z; k! y4 J4 P' O+ i]( q1 `" c# w/ M+ C/ h
) }% ~, I9 t5 D
patches-own) K0 _7 g) H) B: u
[
+ N* v! u, c; [8 V3 e" h1 K  grain-here      " _8 e  ]0 d- Y+ _
  max-grain-here  
9 c$ g( V  V' b" G# b4 l0 }+ {]6 F/ H0 o" T' s' q& P) u0 Q

: F  ?" R# x; E4 v& o6 mturtles-own
2 |. E) I! ^3 U' Z[
8 {9 J; d3 Z$ T& v2 k  age              
( i2 A' o' ^6 Z0 C* A. ?  wealth         3 L6 s# B5 c! h& d8 K$ E
  life-expectancy  - c1 [  r3 F+ k2 o. @
  metabolism      
) H5 h2 U9 |0 h: }  vision9 Q9 U+ N; L) {; Y
  inherited           z+ Y8 B% m0 J: v: K
]
/ J' h7 u: Y( D- w) A) i. E6 I$ J/ p8 \% Y/ S; y  n7 V7 {( Q( `

, b: U# \  h$ y. n7 J9 {5 Vto setup3 f1 l# x1 t6 ?) |/ D" d0 P6 |6 S
  ca
  |4 b& J: b! T3 x1 L7 K  set max-grain 50
: N! T: U- a5 W+ I3 r* o/ z/ H  setup-patches0 U; y  h; D" c: m
  setup-turtles
4 k- D2 j# I% X; X6 D  setup-plots
6 B3 a6 P7 G$ W$ N, r5 }( v  update-plots
4 n& e# S+ |! Pend. v- q8 r2 Q8 t
to setup-patches
2 S( M# B7 j; I2 d, Q5 L  ask patches3 K3 K% u5 u, N% f9 K
    [ set max-grain-here 0
* `( R; B+ w4 v$ G1 L      if (random-float 100.0) <= percent-best-land
7 |* c2 M0 D% q5 n6 l  E( q        [ set max-grain-here max-grain
" C; w2 V  }: Y          set grain-here max-grain-here ] ]
6 p) y6 i  Q3 D! V& g  f  repeat 5
( V1 I- D) c8 ^% y) }' l. t    [ ask patches with [max-grain-here != 0]0 d( w* X$ J( J2 W" ]) K
        [ set grain-here max-grain-here ]9 M9 B( x! R4 P. f# k
      diffuse grain-here 0.5 ]# r7 g  y$ g, |* I7 ]' n' ^- i
  repeat 10
# ~  F: E% ?. M    [ diffuse grain-here 0.5]          ) P7 d: z. H: O
  ask patches% P; u/ a* v' l5 b
    [ set grain-here floor grain-here   
% t9 s+ c: P) n3 H: N  X      set max-grain-here grain-here      0 @# e) w" e* e' G! e  z& M
      recolor-patch ]
( f6 p1 G( e& Aend
0 }0 L6 C% ^0 M3 i9 ^, tto recolor-patch  
& C( I8 C1 F3 Z) x, z! w& M  set pcolor scale-color sky grain-here 0 max-grain. O6 d7 y- b0 x% S
end7 F& j8 @& ]; n# V- y3 y9 X
to setup-turtles
) Q+ N$ }0 F/ U  set-default-shape turtles "person"# Q% f) i. V' \
  crt num-people
# y5 z' R) ]* a    [ move-to one-of patches  
; x1 d- ?1 s, ?4 \      set size 1.5  
1 b$ A  T5 t% `; `: m( C! W      set-initial-turtle-vars-age8 e" q- O/ c) ~9 W( {
      set-initial-turtle-vars-wealth7 V, v! F$ I# H7 ^1 }
      set age random life-expectancy ]
7 c6 T9 p% e4 M& A& N* L  recolor-turtles* O0 F+ w( X' m0 z0 l& U
end) S% e" J& d2 i! J/ z
1 w% M: y% ?9 Y* H: `; c
to set-initial-turtle-vars-age9 H4 ^1 u& E# X- E6 }" r6 }
let max-wealth max [wealth] of turtles
* g7 P4 y. Y3 ~4 r$ \$ l   
9 U& W/ W4 A6 r$ d  D6 @     ifelse (wealth <= max-wealth / 3)
! V) _( f+ r7 [3 ]' f1 u8 @5 {0 \        [ set color red
7 R3 D0 H9 J1 P" r( S' z          set age 0, U+ O( \' B9 P: n. G! t
          face one-of neighbors4 ; F; u, U+ }9 l1 a
          set life-expectancy life-expectancy-min +
5 p& E" ^/ e* j                        random life-expectancy-max
  u7 |; D4 o, e3 I. ?1 q  V& N0 ]- N          set metabolism random 1 + metabolism-low: W0 ^% x! W* p
          set wealth metabolism + random 30% l7 R- l- k0 B* y1 H$ ^
          set vision 1 + random max-vision
# f+ F* S! N- y" _. L) \             set wealth  wealth +  Wealth-inherited-low ]% E0 \% R2 Z- a/ n& ^! Z, Y: ~) p
        [ ifelse (wealth <= (max-wealth * 2 / 3))
* Q& X8 a' x$ ?& H% _  ~( f0 f            [ set color yellow
% u% u% w& {( O, ^4 I# {3 ^3 Z              set age 0- Q- [( d) x: P( {; ~- ^
              face one-of neighbors4 & O# ?( u4 W. T. F/ Q
              set life-expectancy life-expectancy-min +
/ d& B. `5 O4 U9 L; D4 W; r* I                        random life-expectancy-max + 1
* b. e: ~, j6 ~3 D* n2 X              set metabolism  1 + random metabolism-mid4 Y! D, m+ x3 q- @* Z. L
              set wealth metabolism + random 30
; R8 A) l9 j4 _  F( J4 F- B! r: O$ `- Y              set vision 3 + random max-vision' y7 }3 \( W8 Y7 \. N
                set wealth  wealth + Wealth-inherited-mid]1 c$ U7 ~3 o) e, ]5 U7 z
            [ set color green
, M3 G8 d( d! Y/ E              set age 0
8 O8 ?$ E9 F' d% V1 V              face one-of neighbors4
9 A, z+ m' ~; F2 o( x              set life-expectancy life-expectancy-min +* R' ]% C" j; Q% u2 D2 R. y3 r- |
                        random life-expectancy-max  + 21 p) L9 g  k2 J; E
              set metabolism 2 + random metabolism-up
$ D4 N$ ^8 W; P. S7 G              set wealth metabolism + random 30
% t# Y9 g8 {/ L: n) T0 A+ t7 }              set vision 3 + random max-vision
5 T5 n- `- x; N) r+ L              set wealth  wealth + Wealth-inherited-up ] ]
; L% R& _8 C  n
4 g6 d/ r! x; R/ ]; j* F1 Hend
/ p- I. c/ I# W/ j  L2 tto set-initial-turtle-vars-wealth
; p6 k" l3 {7 r* l' B  L* V  J" A4 j let max-wealth max [wealth] of turtles. `# o0 @1 S4 j8 o7 j
          set age 0( r0 J0 C! l/ N+ u  x( ~2 }
          face one-of neighbors4
$ B  [+ K+ Q& j: `% \          set life-expectancy life-expectancy-min +
! l$ |5 _6 {; u2 {                        random life-expectancy-max
  J- k0 A4 \3 X! d          set metabolism 1 + random metabolism-up6 Y( H% G6 |/ x; \) W
          set wealth metabolism + random 30
; _/ ]6 N7 C6 U8 ^% p$ @# e. ?          set vision 1 + random max-vision 7 z4 Q! m! y1 B; Q" x+ u
end3 G) X, T/ K+ k( n0 H
to redistribution
# ]; R) O2 m  `, Z! Z0 Dlet max-wealth max [wealth] of turtles
3 `, [, i, p9 g# E3 V; ~let min-wealth min [wealth] of turtles
5 [% y! s# I) N/ c$ gif (wealth <= max-wealth / 3)
7 I2 r$ ^& \; Z7 Z7 { [set wealth  wealth + Low-income-protection ]
* H  s) H# p2 Nend2 P) r1 [0 k0 @  q: y
          - b# K+ H% d( R  ]) Y8 A" `
to recolor-turtles
0 C. d  P* v: y: c0 E  let max-wealth max [wealth] of turtles
. o$ ^* t2 }$ v' O% e8 W5 A  ask turtles: V2 {, L4 M# ^* T
   [ ifelse (wealth <= max-wealth / 3)
$ O3 M  @$ B# z$ K1 x8 w        [ set color red ]% E( E8 v, Q1 E# W, o) X0 c. C
        [ ifelse (wealth <= (max-wealth * 2 / 3))
, J" w: R2 H# p0 v            [ set color yellow ]# T+ X1 K  Q- k; l
            [ set color green ] ] ]
( e( C4 ?* v1 O' H, ^! Z) D* _ ask turtles [ifelse show-wealth?
1 S4 z0 ]* n3 C/ }# D# Z% n+ S    [ set label wealth ], v# |- P# `0 z& w1 S
    [ set label "" ]]
  ~1 F  c4 p5 yend: P. ~, [. o0 ?. [7 g3 z5 Z) ?& ?
' G/ {# k9 I, r) }5 x4 c( G3 N# w
to go9 q0 k* v7 O! f) s3 B$ Z6 R5 }2 X
  ask turtles
8 ]8 |* s- c* Y4 J    [ turn-towards-grain ]  
3 |0 h0 S. R  F/ k; x4 p* l; P  harvest0 \" d2 `1 T, D( I0 r
  ask turtles
( o1 D% a$ m3 G: C4 w5 B5 s    [ move-eat-age-die ]
9 W$ q6 ^) \: I0 a; a  recolor-turtles
) B% c9 ~  F) @8 G  if ticks mod grain-growth-interval = 0- @. G- X5 Y7 m; ^7 A3 B/ i* ?
    [ ask patches [ grow-grain ] ]3 M. O$ i. e6 `  p
   
7 C; L) C& _1 D) t8 L/ G1 Z5 b  if ticks mod 11 = 0
2 S) M( z/ L2 @; k* ~' j$ ^4 q  [ask turtles5 [" N+ C4 j0 G$ k
  [ redistribution ]]4 k, [+ |) U' a; {
  if ticks mod 5 = 01 l. {8 z% q. M. ]2 [7 \
   [ask turtles( W4 f; {4 E( |! e
  [ visions ]]5 [2 {) `" T: y$ M
  tick! h' z7 g' j8 T8 @. Q$ a
  update-plots
0 G+ V7 O5 `2 m, W0 L9 pend
' q4 W, J! k' A4 zto visions
3 l9 \7 i* ^6 A1 `; A9 p! C2 k set vision vision + 1 + ]$ x  T! [8 \1 w2 o
end7 l. g; J8 _' k6 L" K

: f' w/ M. A3 r0 K# c/ \1 E# Q. V6 q6 c6 I) m" z4 J/ o
1 o- I5 e5 C) O2 L4 [
to turn-towards-grain  
$ l7 W- {2 E. J# c4 p6 J  set heading 0
( _$ F. u8 ^% ~: m/ V  let best-direction 06 M. p1 |: i' D% Q6 K2 }. V7 |
  let best-amount grain-ahead
# S6 i. r6 k) p, }6 `  set heading 905 i" |6 G' p0 h% J) F
  if (grain-ahead > best-amount)5 d4 U5 l) v  W+ u0 @( C# m' _
    [ set best-direction 90
7 k, J* ]8 R7 L4 C+ M, {7 H0 r, @      set best-amount grain-ahead ]
# c+ v2 f7 e, A1 m4 ?' N, x4 s  set heading 1807 [: Y0 F( M( d9 n7 [/ @
  if (grain-ahead > best-amount)
: z5 [  O4 Q' r! b. l    [ set best-direction 180
' \+ e3 k6 x/ v% P" r* M; u      set best-amount grain-ahead ]# D3 [7 R& i* b1 q$ ^. W
  set heading 270+ E7 S7 l* j6 f4 o+ v
  if (grain-ahead > best-amount)# X  S: X4 p2 f8 A+ v
    [ set best-direction 270
& A* C. q8 v0 u# i& r      set best-amount grain-ahead ]+ l& _  [- D2 ]) {* G- g. a& N0 |
  set heading best-direction- F, o- s" f  J0 P  A
end
8 K( T: u) w2 {" W. W/ x0 [& h% B3 e* l" R; v

) L' r1 ?6 u; X' f- E6 [( e0 oto-report grain-ahead  
& h- p. r5 n2 `. n  let total 0
4 M% ~; F( [7 t, z, H9 K# L  let how-far 1! m$ \! e7 N5 j3 D# b1 @
  repeat vision
+ e! L, r& A' ^/ t% L- n! X( p    [ set total total + [grain-here] of patch-ahead how-far
5 p. @6 K) N  v: e) W      set how-far how-far + 1 ]
# E) m* V) _; g% ~  report total7 M' i4 [3 R6 e6 A" i
end1 H) R! z* `# O. @7 e

' x7 s8 F+ u; \  Oto grow-grain , d# i' q0 G1 Q, j
  if (grain-here < max-grain-here)
7 S, ^4 ?' b$ c1 l( e6 z2 ^    [ set grain-here grain-here + num-grain-grown' c& V9 b7 L0 E2 ]# J
      if (grain-here > max-grain-here)
( s) M, c$ n4 E$ A        [ set grain-here max-grain-here ], ^0 W( |' `9 y6 k& R  S$ z& x, R
      recolor-patch ]
. X& c4 n5 @$ v# A1 Tend
# M. @) F# {+ M+ e2 |to harvest
8 A# E, J# m1 @, o  ask turtles
' m/ S2 |9 f2 M    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
2 \! o7 }; L, q1 h% W  ask turtles
  ^3 s) _9 Z/ N9 |) V; L+ d4 t    [ set grain-here 0) J# P, p) {0 d( s: P1 R
      recolor-patch ]" l4 q8 \$ j) ^. j: h8 k  m
  , _2 v3 P+ x2 h; I+ g( G
end: Y: V9 ^" ^: a; W" [1 u1 k0 m; p

: N. R8 `. k0 V% z6 Qto move-eat-age-die  
/ C" N7 E$ C2 d' D3 M  fd 1
* x% o+ z& R3 Y* L4 E. [  set wealth (wealth - metabolism), P3 S1 M% h0 B
    set age (age + 1)& t$ R6 E7 R2 B
  if (age >= life-expectancy)2 F. N. r& l( f7 Z8 p
    [ set-initial-turtle-vars-age ]
" ~, a8 z# {9 V- f  if (wealth < 0)
) |3 n! L& i9 w+ n; [    [ set-initial-turtle-vars-wealth ]% i/ V; l% R4 }; ?8 d
   
2 v3 Z" x2 b  n+ W4 ^9 ^. Yend( y/ l$ m7 j) u* v

, E9 J' X) J9 F- k! m4 c, z- w% Y. q5 f6 |9 i# i
to setup-plots- ]3 b/ k% |5 T1 k
  set-current-plot "Class Plot"
- X$ u! V& J% R$ T2 U" d5 h( o  }  set-plot-y-range 0 num-people
: m" c% u( V$ q  d2 H& P. I  set-current-plot "Class Histogram"
: x6 C3 [( v/ d  set-plot-y-range 0 num-people( X$ p% l1 i& C) U. Z8 j- H3 J
end- A( R$ ^" w7 Z0 Z. ^1 }' ?

! S5 f5 x4 w/ T" ~# I; d/ ]to update-plots7 T; c% i9 n* E: M) L
  update-class-plot
2 i2 P( u  {5 a: i3 u2 k' I6 L  update-class-histogram6 \1 V$ Y! _0 M  p3 ^, L
  update-lorenz-and-gini-plots. H: v& L2 X+ M$ [
end( Q( M0 ?+ w2 ~  d+ I, {
% u% J/ c* \$ I7 N8 S( \, F- v
to update-class-plot% w: Q7 q5 A; i7 [) x4 X" r7 e
  set-current-plot "Class Plot"
! ^" g) v6 [) f+ D  set-current-plot-pen "low") V. B4 b" i5 g( l: _3 n! ]9 X
  plot count turtles with [color = red]
) z$ r/ Y' {  E- ^% t  set-current-plot-pen "mid"
$ H' d* j6 _3 J) e' B& {: F8 D' L, {  plot count turtles with [color = yellow]. H! ]0 C  p1 f) v& `  p
  set-current-plot-pen "up"2 c+ T4 E, ^3 R. W6 D- I
  plot count turtles with [color = green]
2 S: Y7 ?0 i/ H# V! bend
8 @$ z: _. q% ^, W
9 W$ O" w- M9 C; Uto update-class-histogram. V- j7 {, C. F: [: V3 L
  set-current-plot "Class Histogram"" B$ O$ u( ^/ @4 L, ]% }+ a& [$ Q
  plot-pen-reset
1 n" @! W5 B  h9 o! B  set-plot-pen-color red
% ~! B4 h5 e9 _" ?+ H; U  plot count turtles with [color = red]
/ M  W2 r/ s; k3 M0 ^" |; e  set-plot-pen-color yellow7 |& i  l( I1 _' d- N# _
  plot count turtles with [color = yellow]
# h% f" O; f& l& r. X: {" j  set-plot-pen-color green) S' @8 X$ e- v$ h5 J
  plot count turtles with [color = green]( k" I! F# `+ i7 @2 k7 p  u1 t
end" U6 u7 x1 T4 j5 |: b3 D/ J. x7 E! \
to update-lorenz-and-gini-plots
5 V" h9 K, z7 F! T4 `" n  set-current-plot "Lorenz Curve"
* }' v/ y8 [2 I8 U( T  |4 o  clear-plot. E7 {  t  x: h% m' Z

! Z  b& o9 K8 D1 T  set-current-plot-pen "equal"5 d. }" M1 q. P- V2 s2 Y
  plot 09 W5 A; P0 m, L4 ^( E
  plot 100
$ \# U( A$ d4 ^+ {- r
3 S7 ]0 D  ^5 b  set-current-plot-pen "lorenz"' e3 u- ^  p3 r9 }0 u9 Y
  set-plot-pen-interval 100 / num-people
& x6 s5 s* F2 W. _; C  plot 0
5 M& A4 f2 ^; s$ u% @& m( N
7 @+ R. @' n0 j8 a  let sorted-wealths sort [wealth] of turtles/ q8 c/ q1 Q( R" S
  let total-wealth sum sorted-wealths
' ^" b/ Q! q& y6 L2 g  let wealth-sum-so-far 0
/ w( e1 j" V0 ^  let index 0
6 Q5 \& C/ N6 ^: k' }  let gini-index-reserve 0
/ c1 T, I. k4 Y/ L) M- [- x2 A+ t$ s7 m8 Q4 \$ f
  repeat num-people [
, r2 O3 s+ r7 @    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
0 V3 Q. z8 F' b3 j8 m- U: b    plot (wealth-sum-so-far / total-wealth) * 100$ @8 `2 f/ b* c% X! g4 [' F
    set index (index + 1)7 b( i: U' B1 I) V/ t
    set gini-index-reserve- @! ?% C- X0 s3 D/ d
      gini-index-reserve +
; w* J1 q% }$ z' }8 R4 I& l/ _      (index / num-people) -
# x! \+ c! c1 t/ F% M      (wealth-sum-so-far / total-wealth)4 [# l/ G3 D/ z2 b( p5 O! p$ B& M
  ]. S/ S( \: l% A

; Y5 {- _  t1 {- n+ [1 {5 y  set-current-plot "Gini-Index v. Time"& F: s+ x6 N  j* c7 `5 R3 K
  plot (gini-index-reserve / num-people) / area-of-equality-triangle& y7 M/ \( q+ h+ Y2 @/ }" C6 `
end8 w- a8 i) Y, m; h, x* d& [9 Q
to-report area-of-equality-triangle: I9 ^+ }  _2 m
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)# u% V4 R. V  i3 y/ d2 C% M
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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