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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
/ M8 y0 r# D' e) Q' a# _8 h! vglobals
$ e0 Z2 ^1 }7 X$ ^# g7 J  c[  y# |  _& i5 H- L9 I$ h
  max-grain    - B5 n8 n4 u( E# `* v
! E+ X4 U& Q8 I9 B. Y1 n4 J) G
]
9 C( C# y4 I! C5 m& x( F8 b! k8 U- y) z6 [% }8 M
patches-own
. S) C* ^' \+ K/ X+ ~[
8 {8 q- M. y% [) B: r  grain-here      6 q9 M6 Z- A! s
  max-grain-here  " }9 m# S3 A# J. D* m
]
' E, t2 m. j: S0 E/ ^3 S, k
" C7 X/ D! q6 F& {' F% D# \4 fturtles-own; g& d" I8 O% h& }
[- x" j# k; z( N) r" @* W
  age              
& j) l/ |" `8 R  wealth           k: Y7 D( n2 {5 x9 H/ j
  life-expectancy  
& `$ L9 M1 E+ [, b7 v# t  metabolism       8 ^' D& O5 h" m" d, y
  vision. v. x* @, t; h
  inherited           h: @% E, E) r& Z4 p+ k
]% q8 d% `. W) Y& R; `. p; Z0 L

: i* o3 g2 i4 v, Q  \( X% i6 G; @' f4 X' D7 {% `
to setup! c5 U* B6 o4 U, L, u. `1 T+ q
  ca
" p0 D7 t$ E# F; E  set max-grain 50
* f1 U& g) X  e* E  setup-patches
# v: I- i0 n8 A8 C4 \; H  setup-turtles. B& v% W% J! B$ t- @5 G
  setup-plots
* a5 s" t  y: Y0 t4 W9 C  update-plots
' ~& O  a& C3 g. H: c3 M% S( zend! @# z# B, r" j& x6 n7 D. Z
to setup-patches. Q9 K( e3 u( B
  ask patches) e' h# L  S, b
    [ set max-grain-here 0
7 W$ N) y0 F0 N; ]) H      if (random-float 100.0) <= percent-best-land
9 T! ?8 M# t. M1 T        [ set max-grain-here max-grain
# G# v$ B0 D/ ^3 a" @          set grain-here max-grain-here ] ]
) G) c! z, v3 [/ S$ d0 ?' Y2 G  repeat 5' p: d2 ?$ o1 k8 X9 P( p% H
    [ ask patches with [max-grain-here != 0]
4 q& P) @5 J5 A        [ set grain-here max-grain-here ]
) k8 s" B( x1 U1 I      diffuse grain-here 0.5 ]2 Q  ^$ W) S7 ], R5 k
  repeat 10
. z1 M  Q1 X( ^1 @$ o    [ diffuse grain-here 0.5]         
; i( E7 a6 z2 n; @. O  ask patches8 D# X, J0 \& b' i4 ?! `& b
    [ set grain-here floor grain-here    & ?, C7 v2 X; j3 t& ^* W+ ?% z
      set max-grain-here grain-here      8 S. I+ c  y  }# ~/ j' n
      recolor-patch ]
. y* T  `9 s2 `: z( x/ F% r6 o, m7 tend
. v9 J, @4 H$ W  \6 N* N, Kto recolor-patch    c/ O6 M. h; }/ L) H
  set pcolor scale-color sky grain-here 0 max-grain, _) |' Y2 q$ Z$ ?- L; l# _
end
2 z1 h& ~* t. v' G/ W' ^4 R/ lto setup-turtles
3 Y* H$ Z; i; M2 K7 |  set-default-shape turtles "person"
6 m8 A7 \; }: J+ P& v. S8 `( ?! B' H  crt num-people* R  k( ^5 P  a& M+ R
    [ move-to one-of patches  
3 \& T4 ^5 j. d; I  r" z      set size 1.5  
  S9 W6 c3 ?0 e3 \' Y+ s/ K- ?- R      set-initial-turtle-vars-age# U# \; B  D7 a* `% I5 {
      set-initial-turtle-vars-wealth0 g& c& f! c" A9 Q
      set age random life-expectancy ]; Y+ W( X9 J2 \' G2 P7 I9 {
  recolor-turtles( z: U2 [, a4 M
end2 |4 ?. B$ H- z7 h8 i
' e7 D6 z: i$ e( C
to set-initial-turtle-vars-age
0 s7 |* ~: u+ f6 ]' H5 S; f0 @. I let max-wealth max [wealth] of turtles
8 {* X0 ?' X2 W+ M* d    + ?. b* x- s0 d  ~
     ifelse (wealth <= max-wealth / 3)
. f' D4 j' I7 ^- f! C! x6 z# H% e        [ set color red ) \& I( ?9 v1 D2 A
          set age 0
! w' `; O; I. M; B) k          face one-of neighbors4 # r- S* S# q1 g
          set life-expectancy life-expectancy-min +% M, u* R( s" w
                        random life-expectancy-max $ N8 x2 a( T* I7 Q; _1 Z$ z9 K
          set metabolism random 1 + metabolism-low( y1 s4 O  a! K9 [2 b
          set wealth metabolism + random 30
* @5 b3 U/ `5 e7 T  O2 x          set vision 1 + random max-vision
- C2 f( {/ b' V. c             set wealth  wealth +  Wealth-inherited-low ]
+ L2 `  `3 _! `; a& w        [ ifelse (wealth <= (max-wealth * 2 / 3))8 H- f; v& z- g+ L
            [ set color yellow
! \6 O( |, a" r/ Q  d              set age 0
2 Q8 ]* o5 G) D; d# w: F              face one-of neighbors4
* J1 q9 r3 i2 l; E( X4 A3 Y+ R              set life-expectancy life-expectancy-min +- L% P1 i' T& r+ B( g4 q- f7 t
                        random life-expectancy-max + 1, {, p5 Y+ T) |9 x
              set metabolism  1 + random metabolism-mid& a, e' [) K/ w. ~, A7 {% ^* G+ [
              set wealth metabolism + random 30% g. H' d+ u- Y8 N7 r
              set vision 3 + random max-vision
& o) O& K3 J4 V                set wealth  wealth + Wealth-inherited-mid]: x4 P0 ^4 J( e5 @
            [ set color green
# A/ a0 R" C4 C% ~! n) _              set age 04 A! u! F" G2 S" ]+ _- l% Q0 Y" |& d
              face one-of neighbors4
. _/ D3 K0 y. X. O9 `: x: y( t              set life-expectancy life-expectancy-min +3 P2 f; O; b! f$ V+ w( j* x
                        random life-expectancy-max  + 23 n! ^# o* M3 Q7 W1 o8 Z% }% K
              set metabolism 2 + random metabolism-up7 [8 `! ]1 v3 h2 t3 a2 D% u. }
              set wealth metabolism + random 30
" Q3 T& ~1 _# i  K              set vision 3 + random max-vision+ v# G0 f% E  P4 @9 z
              set wealth  wealth + Wealth-inherited-up ] ] ' f; `3 e0 I) ^/ J
6 r' W: q3 W) x) B) c
end3 z! \8 Q( T. ?; T3 X4 E
to set-initial-turtle-vars-wealth
# g- {: G+ L- P) p: C0 x. d, I$ r! O2 r let max-wealth max [wealth] of turtles
" |3 w, e. s$ e( C          set age 00 {1 e1 u# O) T9 f( |2 O
          face one-of neighbors4 7 o# Y  w, q; @$ \! j" t
          set life-expectancy life-expectancy-min +
; m  L6 V) ?) N/ C8 ~- \% b+ H; C4 w                        random life-expectancy-max   D$ K  W; y1 U, p
          set metabolism 1 + random metabolism-up1 k$ B9 B  K2 |1 e1 y+ ?
          set wealth metabolism + random 30$ A6 M; Z- \3 G, _, B0 x! B
          set vision 1 + random max-vision , m7 }! p4 r# O$ H* ^
end
9 n& P* z( o, Q' s2 O; p! Eto redistribution
% V. g4 R' d/ Vlet max-wealth max [wealth] of turtles
" I: R, `; p( y  I# s( n5 E$ Tlet min-wealth min [wealth] of turtles
7 B% X8 B. i4 F3 J: F. d9 ^if (wealth <= max-wealth / 3)
% V0 Q5 q% v! ~2 {* x [set wealth  wealth + Low-income-protection ]
+ f  S  W; b4 p2 S- m" S1 N. Send
* e" e" z0 d( k8 S) A  v          . R1 C' z# S; Z9 Q% q
to recolor-turtles, T% E" p: q+ J  i9 q
  let max-wealth max [wealth] of turtles
! {6 e5 K  _- C9 m- ]1 e  ask turtles
% p% H: i4 z0 E4 J9 t5 }   [ ifelse (wealth <= max-wealth / 3)
: ~+ |- G8 h7 e0 Z+ G: Q  O) Q        [ set color red ]3 p# ?2 M& F& x- j$ u) x
        [ ifelse (wealth <= (max-wealth * 2 / 3))% Z1 v. m  H( N3 p! V: K6 H2 m
            [ set color yellow ]. h' y( h) D* F
            [ set color green ] ] ]4 o: a8 g/ w# m. ]& @" f  r1 [
ask turtles [ifelse show-wealth?1 A; `' V5 X) _7 C: m
    [ set label wealth ]
% \& J+ J  ^) B( E5 S    [ set label "" ]]
3 Y' W" @6 Z$ V( D! p. send
& T; ~1 H" G5 v6 ?$ D' e  F: j4 _) S+ g* S& e* K
to go2 O6 l! M( d: T7 ^: M
  ask turtles
+ j$ V# `0 X3 u* C( O- u( n    [ turn-towards-grain ]  
; A. Q9 Q7 r, Y8 @7 K, W  harvest
  I: }' N. Y( K! w; ~8 j  ask turtles7 {9 C4 H: @4 C7 q
    [ move-eat-age-die ]1 H5 U( O/ J8 x  d  x& O' ~* N
  recolor-turtles
5 o' h$ ~8 `" ]- l/ K- U' Z  if ticks mod grain-growth-interval = 0
" f; E& M9 d! C- e3 R    [ ask patches [ grow-grain ] ]7 m0 v* j! T2 U4 T6 s, U+ J
   1 {  r# I) F8 Q5 I$ v0 y# T6 {
  if ticks mod 11 = 0
1 R- t) L3 i  V  [ask turtles
5 A5 b" x$ \0 U6 H0 P0 g- L  [ redistribution ]]4 Z8 [# D5 z/ h4 ^, T
  if ticks mod 5 = 0) f5 v4 P* t+ `: @8 q6 w, i
   [ask turtles
3 d# ?9 c( m; R, j) A  [ visions ]]) J$ `2 \% J9 ?7 ^
  tick3 t5 X. B# J, K4 P; ]
  update-plots
& r: I  y9 F6 a% W5 Gend
/ ?. b0 y- U* C# s$ Rto visions
5 i9 x, c" h' o% `, y! Y- x" o* {, l set vision vision + 1
7 `) C* f' H6 F. p; @! Nend
( K( K" ^# n( y2 u$ K4 [; D0 E( w" e! \" o1 D

* U4 f; V4 U# f" u6 K! v, d5 \" A/ u: h" d5 K; j% K* @) c; x
to turn-towards-grain  
, x, e: _) I7 `" g  m8 t  set heading 0  m, s6 E# {6 h' f1 y9 H
  let best-direction 0% B2 ]' v: C0 X( x+ {) G0 W
  let best-amount grain-ahead6 a, m, i  X$ B' `/ A/ y
  set heading 904 u, a2 V% g9 _# G" G7 ]
  if (grain-ahead > best-amount)
" _1 d) z: z. Z/ n3 b. u' ~6 }+ o    [ set best-direction 90# {6 Z; b/ g0 f5 B  w- }) {
      set best-amount grain-ahead ]5 o+ T/ E4 R+ j8 c- d& l
  set heading 180
* ]7 [5 Q5 x$ _1 C, }0 E3 \  if (grain-ahead > best-amount)
6 V  ?- i/ q% }7 f- t    [ set best-direction 180& b3 s2 j5 G( M$ `/ V2 W
      set best-amount grain-ahead ]+ H4 v/ u9 w: G* W7 |  S! l
  set heading 270
, |* |" b" i- ^9 X8 C  if (grain-ahead > best-amount)- l5 v- f* D/ L/ `' i
    [ set best-direction 270! x" S+ o' J& d$ z: g6 G
      set best-amount grain-ahead ]' D: v1 n+ e  c8 F3 A' W- G( D
  set heading best-direction7 x: B% x4 t& K' V; t3 V
end
2 L" t& S+ P) K% \5 T8 G2 R6 _) @9 a, Z: q& B1 P  c& E
. p0 a1 F5 O2 S- V
to-report grain-ahead  
' @. O7 s9 ~1 s8 X  a  let total 0" l6 ?* D" K0 D  M
  let how-far 1/ B, t: M5 h2 F/ Z! p/ o
  repeat vision: e; ?4 |' b& `- b* O* ~
    [ set total total + [grain-here] of patch-ahead how-far
9 Y. P& v% Z9 k) r! u      set how-far how-far + 1 ]: [/ B2 F$ Y9 w2 t, ?; V/ w  r9 ^
  report total
; B3 f% s( z9 P% |; j  o* y' G& Dend
6 {3 w! `9 H1 G. }. }* m+ f# G! n
3 n0 ]  y: t* y6 j  ~3 P9 X. M4 Y+ ?to grow-grain ( [% J4 c# e6 S4 Z! j
  if (grain-here < max-grain-here)) Z) o7 C$ _* ~( V- Z
    [ set grain-here grain-here + num-grain-grown& k$ {8 Q8 c* ^2 B$ S$ n; n  Q
      if (grain-here > max-grain-here) & m& _$ Q2 A* x7 V8 h
        [ set grain-here max-grain-here ], g+ l0 }. w; m) W# @
      recolor-patch ]
- c# ?3 m, W4 D. m# zend
; ^& G) J/ r) g2 w/ W! {  cto harvest; d1 A, V/ L) N; W
  ask turtles
6 @! V6 `8 t9 L8 d: V" V    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ], j! Y- J9 z: J
  ask turtles
2 T2 R% ~8 D) s: `1 i    [ set grain-here 0( g$ L; c" Q8 n2 t: t6 e7 T, ^; x
      recolor-patch ]
+ Y: _0 S$ ^" p. ~1 R1 B" _( A% s  2 h5 [- x/ |0 J
end
) i0 G% a: F; S
/ b  R- T9 S; @* w4 J) U9 mto move-eat-age-die  8 E( g* M: N  m+ T7 B
  fd 1
& @$ V; B6 e, r. ?; i  set wealth (wealth - metabolism)
3 g$ Z) m- l8 W' q  {6 U9 D6 |    set age (age + 1)
' j* `) m9 ~2 t+ ]  if (age >= life-expectancy)
/ X* d' S5 c" j0 ~& n) w    [ set-initial-turtle-vars-age ]( H/ v+ y& W5 P! s! u
  if (wealth < 0)
6 Z' M8 Z0 M! ~! K8 O* w9 @    [ set-initial-turtle-vars-wealth ]) b: ~' O. l$ B1 m, D
   
0 J9 Y, _5 k5 Fend
) N0 k9 g. W6 X; ^/ P) v- Y$ P8 j0 O
) K1 I7 S, L% G
to setup-plots
# d1 {- P& G0 z  set-current-plot "Class Plot"' K5 C' L* z# h" |
  set-plot-y-range 0 num-people  B) h3 ^4 y, w! J
  set-current-plot "Class Histogram"
+ K$ {9 Q' _0 X4 T" s1 w- c& \  set-plot-y-range 0 num-people
# V& ?+ f$ `* ?& ^* ?end
" p1 G7 U) q% C! w% t( x# f- |2 B; c9 M  d" v) D
to update-plots9 N7 M+ i5 [. T  I% u4 L1 T; G
  update-class-plot3 O# H1 f6 H- b+ _( Q7 k2 e
  update-class-histogram
4 k; e1 j* K* H+ Y/ X0 D/ r3 W' D  update-lorenz-and-gini-plots
: W" d- k7 h1 J, v1 a' _' jend
+ h9 J2 n3 y9 u
$ V& d& B' B2 ?1 _6 H$ Jto update-class-plot
( B9 g, _  ^! R  A2 }" S  set-current-plot "Class Plot"
4 Z! A4 K. k* J5 ?' o9 {2 F  set-current-plot-pen "low"
( r; J3 G. E" U; f6 B  plot count turtles with [color = red]3 |8 Z" G  {1 i; l0 X, q# D
  set-current-plot-pen "mid"
( b. l8 Z& I( k6 J, N  plot count turtles with [color = yellow]
, C$ @, S3 @- n, D; t  set-current-plot-pen "up"7 {& a, @: Q0 I, }( y
  plot count turtles with [color = green]
' n0 R! h2 ]- d% V/ Gend# M0 r% w/ E, d# I6 x4 Y4 `

9 A* G$ F3 N$ P5 U* i, hto update-class-histogram/ F0 h1 q  }1 {) h/ W5 h
  set-current-plot "Class Histogram"
0 u; ?" b* n: Q0 L1 ]0 a; |8 v! Z  plot-pen-reset
- |4 v3 k; f0 M: I% b$ p3 N  set-plot-pen-color red7 O: W# F9 q+ S& \, @
  plot count turtles with [color = red]
/ f* y; A) Q1 _0 y  set-plot-pen-color yellow
: U6 U; D% n# u7 [' f  plot count turtles with [color = yellow]1 ~- O, v% ~' G& d4 H
  set-plot-pen-color green6 I; z- \+ P3 u! ?
  plot count turtles with [color = green]5 d$ t; e1 T6 w9 k+ d
end1 _6 @2 n; X. g1 w/ K. H  k% E
to update-lorenz-and-gini-plots
: y8 G- \+ x! I# }2 g  set-current-plot "Lorenz Curve"
# C4 H* O8 H6 B  clear-plot6 `0 W: F& L9 n; Q1 I

4 ^: A+ Q# w% [* ]! p' |  set-current-plot-pen "equal"
+ f8 d! X" z7 W9 o* ^1 i' w& g  plot 0/ P3 [7 B! ^+ p/ }; V3 y; m
  plot 100
( T2 }, t" m- T, w# s3 D: c' @# m# N1 j- S4 n
  set-current-plot-pen "lorenz"1 e. U  f8 `/ f: z
  set-plot-pen-interval 100 / num-people
2 X0 i: i) f2 a0 T  plot 0. l+ @' ^* L: o) N1 l, n

/ ]' S, _! s" h3 ]& m- I  let sorted-wealths sort [wealth] of turtles
& y9 `( T! M  v9 M5 u) }  let total-wealth sum sorted-wealths; `, w, V5 d* [( z+ t! }
  let wealth-sum-so-far 0
  E; }: v0 l% D/ q0 e) }* f  let index 0% g* |5 ?4 O# i) K4 f& n/ ^
  let gini-index-reserve 0; g4 {7 M0 D6 `5 U$ A* k2 Z! Z3 W
* \' J, c% m4 |# w) E: \
  repeat num-people [
& D2 s( x1 [4 Z; }    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
  Y0 }. g/ n. v2 J) O    plot (wealth-sum-so-far / total-wealth) * 100
9 @% v# F$ a! J& @, O9 n    set index (index + 1)
3 O( y4 }% O6 a  {6 N- x  [    set gini-index-reserve( d/ q0 Q4 M5 W
      gini-index-reserve +/ }" D* m! f' `1 @
      (index / num-people) -
' l- U# O+ t0 t% |* F# T      (wealth-sum-so-far / total-wealth)  {& M! R1 q6 @
  ]8 ~3 G7 q9 F, ?# [! u6 t

* E5 B6 k3 T. n9 \# r( J4 F; e  set-current-plot "Gini-Index v. Time"" d. U" x, {# B9 F4 Z- ^& V, o: L
  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 m9 c9 ~$ l+ x1 s* Z, |" l- S3 s
end( b# H- Z% X" q6 T
to-report area-of-equality-triangle5 i5 v  ^5 A7 a: m. o* B4 ?
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
9 j+ p1 E) y( K8 |+ N+ cend
 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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