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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3 b8 V! f2 q8 F. m! r' U1 f: ~
globals
. O$ N" G  j& ~% T, M[% w# l+ E. ?7 u' A1 W; R. v; n1 z2 ?
  max-grain    6 t) r% A# B3 {1 F

% S5 s0 q; d/ e/ j' x]
1 o% T2 l9 D4 X6 w! |2 e* u
0 r$ b3 D4 x8 d# Y1 _% \patches-own7 j: ?' U. l5 \6 D
[
; C3 C: H% d% ?- q, P  grain-here      
9 s0 h4 \6 H& K/ w( {- Z  max-grain-here  : F( i9 r+ T8 V$ J8 t+ m- w. Z
]- Y5 F2 \: {* _
( ]4 V2 b+ j$ v  b' {
turtles-own
" m! P2 r; H# @; \1 P8 n[
( U" b* j+ L3 T+ x* _2 ?  age              4 p$ V% Y9 b2 b. A3 ^' ?) S
  wealth         , i& n1 v/ ^2 D& n
  life-expectancy  / x) o$ h! b/ M! v3 {
  metabolism      
- b+ c0 l6 G, ~" v# _0 r, v3 S  vision, a6 R/ c# g5 D5 x! R+ ^
  inherited         
. x- C5 y$ Y/ s]
, \1 X6 E* z5 M2 I# ?) I  u
1 s9 K. w/ D/ P0 f, I
9 k2 U& v- `, c: ato setup1 c' A/ o+ n3 H- `7 l
  ca
' k9 x+ T! N4 Y  S/ C' R, r8 ~" \  set max-grain 50
. ?  e* b& k9 M7 C5 Z( v; F8 ]  setup-patches. L: n7 K; ?4 P, d' |
  setup-turtles
9 B& x2 {" S+ a" e! h4 g  setup-plots+ c2 x; Q' \5 }" d7 A6 \: ?; N9 b
  update-plots
6 ]+ g' D" z/ G1 _3 r4 ^1 T4 Iend
* S5 f9 D5 U2 Q4 _% G* Rto setup-patches
7 h/ D& y$ a2 E8 C% r+ A9 e$ a* f  ask patches' H: P. i! ~9 u8 @+ V& }, ]% e
    [ set max-grain-here 0: Y' G& F0 B* L" y0 r4 ]
      if (random-float 100.0) <= percent-best-land
; }3 A3 |, l3 ?6 _- j1 p) U        [ set max-grain-here max-grain. L2 E( s7 P" R* k  V1 S; I
          set grain-here max-grain-here ] ]/ V" G+ i5 D( k, l7 B
  repeat 5
+ ?- _/ c2 q8 c: W    [ ask patches with [max-grain-here != 0]
2 @# E: S" C  G7 w        [ set grain-here max-grain-here ]
: z4 s& J2 W9 c# M3 \  d& Y8 q7 G7 S      diffuse grain-here 0.5 ]- X3 w( Z2 Y5 k1 h0 w. N
  repeat 10( O$ V, Q: s7 e0 |9 H* F9 E$ W
    [ diffuse grain-here 0.5]            f6 A: Z% J& O
  ask patches
, Y8 [5 ~- ^# l, S- F    [ set grain-here floor grain-here   
1 g, A6 A* W- e# ~: w      set max-grain-here grain-here      ( N' p& l, S8 V* ?* v6 L
      recolor-patch ]
/ R9 j& m1 ~! F" b, send
, V0 J$ \$ s8 d6 p3 E% ~% {7 Cto recolor-patch  
* m" l* B8 E1 l; j/ u9 n  set pcolor scale-color sky grain-here 0 max-grain. A0 A+ p$ {& U1 W. e6 i
end2 X3 g! m% H0 C& |
to setup-turtles
, _$ s6 X0 p& f  set-default-shape turtles "person"
4 q. `' |4 ^5 P5 E* @+ i6 q  crt num-people
& \8 r! t  e$ O9 r1 M    [ move-to one-of patches  # Q) K+ L, @/ W! e( v& C' x& n
      set size 1.5  
+ m7 `5 c. g: S6 {. K% h      set-initial-turtle-vars-age
( y' h& |) W9 [. e      set-initial-turtle-vars-wealth  J! Y! B% o$ k4 K1 `: F1 Y
      set age random life-expectancy ]
3 ~% ~+ t% L0 ^- l  recolor-turtles! \1 P3 ]4 k5 t8 a0 B# K1 N
end0 P+ I5 Z: }2 T- C; k/ ^# h" {; r
# z" D% X, p' T, w3 ]/ m7 j
to set-initial-turtle-vars-age
% i9 n: _- B) g  S* |  M0 r( I7 f let max-wealth max [wealth] of turtles
0 a7 E7 `  S' k4 c  O& I- {  @    - g5 z! e5 _6 S7 Z
     ifelse (wealth <= max-wealth / 3)" N9 n/ q( g+ v( t( j( ?! z" K
        [ set color red / ~) ^8 s8 o* a( p1 Q* P  J$ ~
          set age 0
! _- b$ c. n* d7 R) p2 x; [          face one-of neighbors4 " [" x! x. q7 z3 N3 C8 v
          set life-expectancy life-expectancy-min +1 q+ n3 `0 J; o; S$ j* L3 R$ K' }
                        random life-expectancy-max
: g; l% G/ C7 F/ o7 E          set metabolism random 1 + metabolism-low
6 `* E" H6 t1 J7 o' Z, f* d          set wealth metabolism + random 30
  @2 b: h2 y7 I) T$ T( \* W  ^          set vision 1 + random max-vision! q  L- t5 H3 B+ E3 `9 O& w
             set wealth  wealth +  Wealth-inherited-low ]
4 v* y! c  P5 }' a1 K. k/ N        [ ifelse (wealth <= (max-wealth * 2 / 3))! R* c% B. n( {% P0 u9 k5 M: D
            [ set color yellow   I" X7 Q* B7 z8 v8 K3 Z
              set age 09 v4 \& Z0 r0 H3 i/ O: V! Z
              face one-of neighbors4 6 s4 I) S& f' r4 g. q
              set life-expectancy life-expectancy-min +
: q. r5 Q# I( D9 j$ I+ a: a8 J                        random life-expectancy-max + 1
7 G( ]1 ^. w1 z              set metabolism  1 + random metabolism-mid
( n% _* X- ?& I              set wealth metabolism + random 30
$ v7 J: I- R# |% C0 b+ ^              set vision 3 + random max-vision) S9 V9 H6 `9 \* r, r# M  z! U
                set wealth  wealth + Wealth-inherited-mid]
; v3 O7 j. |" d( j: X' Y            [ set color green
$ _& k  W$ x3 X3 V3 R              set age 0
- c# S  w: `3 a/ V4 b              face one-of neighbors4 5 x, b# z7 Y' P
              set life-expectancy life-expectancy-min +
; T' p" T' o1 B, \9 p" T, e                        random life-expectancy-max  + 2
2 m) J: \0 b1 C4 k              set metabolism 2 + random metabolism-up
: P- P: _$ V& [% N: s              set wealth metabolism + random 30' Z4 O- J' A0 e2 ]5 H. Y' n
              set vision 3 + random max-vision
, e, X9 X! o, J& R8 U# |/ a6 k              set wealth  wealth + Wealth-inherited-up ] ] : i# k9 G& E, J: d3 J
# X: G" [9 ?' }, x
end
0 m/ Z. k# b2 p+ k2 xto set-initial-turtle-vars-wealth7 W1 u8 n# o: N1 S/ T$ p
let max-wealth max [wealth] of turtles! {+ R" V' {# |) ?& P6 P2 y
          set age 0
0 Z. o. ]. d4 F! x2 A- x8 `          face one-of neighbors4 1 ^4 a4 P# V* ?& N$ j- ]' T4 c
          set life-expectancy life-expectancy-min +) U# h3 I5 d9 z& d% G; J- {
                        random life-expectancy-max
! I+ K0 s# `, q3 w: i' X: ~          set metabolism 1 + random metabolism-up' g* n. f  C5 Z2 f4 `
          set wealth metabolism + random 30) {! u# X2 d, |( k% e, I
          set vision 1 + random max-vision
3 w. b6 B- s3 {' e' D4 nend
* ^8 Q5 \' M8 o) f' p* nto redistribution
9 S6 Q: m! @! Y1 dlet max-wealth max [wealth] of turtles
# E' s+ N7 `5 jlet min-wealth min [wealth] of turtles6 l* n# V* q) e5 B
if (wealth <= max-wealth / 3)
' h" d. k8 p7 }, _6 @5 A [set wealth  wealth + Low-income-protection ]' a( R( h! k% F9 |
end
1 S! N8 |5 _4 w, }1 |' z2 h  `6 V# e         
. T' @8 P, j% yto recolor-turtles
: L1 A* I' r5 ]) B  let max-wealth max [wealth] of turtles
; C$ K) @  f2 ^" ~  ask turtles8 l, I' u8 R# J0 S, a
   [ ifelse (wealth <= max-wealth / 3)# K. i3 i. j  u- C. e
        [ set color red ]
) {/ O. o9 h: h0 n0 `: ]5 Z( i        [ ifelse (wealth <= (max-wealth * 2 / 3))( N8 [  ^' U+ e' V
            [ set color yellow ]
4 l+ |) b6 L+ V8 W% o- l7 K            [ set color green ] ] ]
% b: Z7 M9 j9 b% a ask turtles [ifelse show-wealth?7 I7 _; @; W. e; v& J
    [ set label wealth ]1 m9 n2 H% L( {, R# C( M
    [ set label "" ]]
2 o1 ]( H' X  _" r8 y+ [/ mend
9 _1 t# {) l% s) K
! g) F- L! z) K' Y4 }; Gto go2 O- z! w9 o7 ]  e" W. ?
  ask turtles0 y+ w$ B& b0 u1 ^
    [ turn-towards-grain ]  
6 E, r, g, }3 G; \: H4 k7 V  harvest
6 f- Y! {7 W8 Z  ask turtles
; B0 r2 w7 Z: a% o    [ move-eat-age-die ]
. o3 s$ J/ |; }+ a  recolor-turtles: q3 B- r: O+ E% d* f
  if ticks mod grain-growth-interval = 0( s$ X& G. {. V% X, t: `- s
    [ ask patches [ grow-grain ] ]9 _, Z6 _# t; b8 t1 h
   
0 V5 d9 D+ j  @- z; T  if ticks mod 11 = 0
- P) ^  ]3 N6 [" F* f- h' h; y9 K  [ask turtles/ l# T  `3 |& w7 C3 M
  [ redistribution ]]" c( D8 Z" I, j! p' I: {
  if ticks mod 5 = 0
; v" h! @, p2 [) {* K+ g7 p   [ask turtles
3 B  O+ L) P4 r" ^* D6 ?) U  [ visions ]]
( y# C7 g! X3 e" |  s+ ^% X( @7 _  tick
% C  M9 |- `) K5 t8 ^3 Z- M  update-plots
0 J7 z7 |* g# oend! [" Q) C4 _. h- m# Q8 s  F1 Y
to visions
2 O8 v7 s+ o8 i9 ]2 L- n set vision vision + 1 - p( Q% J) j5 R$ z. T
end6 d, i# \  z) K3 L: ?

0 p1 i/ h' o. g. d+ u$ N; Q0 E) e2 y

( X% w* W1 y' J" pto turn-towards-grain  : F% f6 R, w( J# B
  set heading 0
; A% B0 D5 o& {/ a  let best-direction 0
0 U4 S( t2 f! T5 x# F- s) |3 N; h' m  let best-amount grain-ahead
- t* V2 ^+ l( w- {3 i) l' j  set heading 908 N# X5 A. G# R) F( C  |7 ]
  if (grain-ahead > best-amount)3 M# [2 u1 c- i1 p4 j
    [ set best-direction 90& [% E" u* ]; {9 V- D
      set best-amount grain-ahead ]
" S6 L% c* D% r2 B  T# ]  set heading 180
( E# L' T" [4 |9 B) O  if (grain-ahead > best-amount)1 W6 v& X, G( B( ?3 p) r( a8 M
    [ set best-direction 180/ @( C# B6 O4 k  C) t! M( _
      set best-amount grain-ahead ]
& ?0 H) F/ n4 i- ?  \) p  set heading 270% h1 \! G5 z4 E$ P7 B/ g3 r
  if (grain-ahead > best-amount)7 n5 B2 d. Y! O% `  r! Z
    [ set best-direction 270
: _( D# Y/ y. e' Q      set best-amount grain-ahead ]/ H2 x9 {! V) W6 h& j' |% T( K) [
  set heading best-direction
6 o, h8 o5 x/ c5 \# Oend& d- P9 P4 t0 X5 x
& O5 Q8 {* G' x* h
. a* u2 K4 Z! V" h
to-report grain-ahead  
1 s9 i4 z) l8 Y: g# j  let total 0
% M' u- t! I, s2 g: |2 e  _  let how-far 1: c4 h- D+ U) K. c7 I; v% k7 k
  repeat vision- L" |# f0 s0 m5 H$ c. d
    [ set total total + [grain-here] of patch-ahead how-far
1 p. u2 [: o8 i0 \3 c5 h      set how-far how-far + 1 ]% ~) ]' b! K  R2 ~1 Q8 k0 t: O
  report total9 b' F+ ?! L; G/ \  C" q+ F
end
- C2 z8 i2 ?1 q) W5 m: c
$ S! Q$ \  s8 g- M2 X/ [3 hto grow-grain
5 K. I# y) T% |) B4 [1 e  if (grain-here < max-grain-here)& P+ k2 N  V. m) r- d# J$ [
    [ set grain-here grain-here + num-grain-grown
4 p7 [( Q- z1 O8 k      if (grain-here > max-grain-here) % m" v; _1 d( d0 z
        [ set grain-here max-grain-here ]3 y  v1 l0 o7 r/ r1 ~
      recolor-patch ]
8 v- [# _& k7 K5 L9 p% Yend3 x  Y7 I5 L9 [/ m. p! Q. A7 Z
to harvest0 V) I, i9 R' u: P+ Q
  ask turtles, l- D4 s, V( L6 u) G
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
, ^1 q/ `. k5 Q8 ^& L% s: Q5 L  ask turtles
3 Y! N2 ]+ b9 T, I0 J6 T    [ set grain-here 0
1 a) P- k# o$ r4 `      recolor-patch ]
. c0 N- @6 N, I0 o* B  c  
; j- D, K7 I0 t  Y7 ^, R* ?end& ]  u; T7 w) }+ B# a! C* u

) C! w$ U0 R& n7 eto move-eat-age-die  2 Q+ }- x( ^$ H$ s: `8 `( b
  fd 10 ~) [0 M: T- r% A) B+ Y- v# R* Q; M
  set wealth (wealth - metabolism)
" z1 v) o0 W7 Z4 J3 ]; M; T    set age (age + 1)
' o/ E: ~* J2 m2 E! {, K  if (age >= life-expectancy)
6 P8 R# D6 d8 c  i; p) f) }. g    [ set-initial-turtle-vars-age ]4 }4 b. Y" e8 z( }
  if (wealth < 0)8 t$ d8 j  v/ ]- G/ L1 {
    [ set-initial-turtle-vars-wealth ]
8 W% D4 B: {$ V! G" X; @1 A   
  u7 {' d3 o5 P+ t* P0 jend
. y8 F, ^# d2 |2 {* a8 A
/ t" z1 k* [. j! P1 Z- u
* B0 W3 T4 ^2 E; s! O- x& K- _to setup-plots
# B; ~& |8 p6 w: P  c  set-current-plot "Class Plot"2 x& t* X9 N7 u' Z/ {1 B
  set-plot-y-range 0 num-people4 o$ I! t% M% u% ?' }
  set-current-plot "Class Histogram"( y7 c& t( k8 f
  set-plot-y-range 0 num-people
! g* Q& q8 V9 q6 n) |8 rend$ |: K- I& m# v3 j

7 m' C, l1 e/ o( r& t% _to update-plots' t4 W0 U0 b& A) I" T
  update-class-plot
$ x- U4 p  T0 g* `# F& n! x  update-class-histogram
$ z& |( K+ C2 r, I  update-lorenz-and-gini-plots
# }1 D& T$ D9 i' G5 D2 s% e9 Qend6 ^% O/ Z5 [0 Q/ ?/ n# }( ~, p
$ W) c% O8 ~9 X( ]' H2 ^
to update-class-plot$ q" @6 t! k* h& r* s
  set-current-plot "Class Plot"
( P) Z6 \1 [+ G+ e: W7 ^, i! K& t9 w  set-current-plot-pen "low"
9 k) K5 Y# v/ \8 ]8 _* [  plot count turtles with [color = red]
2 d7 q: D9 Y3 r9 O( }  X9 p7 O  set-current-plot-pen "mid"1 Y" g9 h! l% Z  `
  plot count turtles with [color = yellow]7 M+ ?6 p0 w8 o7 T# z( `
  set-current-plot-pen "up". i" a/ [) |( G: _% ?; e  {7 `
  plot count turtles with [color = green]
, O, ]2 d1 L4 G/ Hend5 ^6 L6 F2 C4 b5 y. E
. P4 ?. _+ f5 n- F  w; H7 M
to update-class-histogram
' s! z% D, \3 }6 q( ~  set-current-plot "Class Histogram"$ m5 Y5 @6 M! f0 Z9 n6 Y
  plot-pen-reset/ |! b) Y+ t$ w# T# g9 F
  set-plot-pen-color red
; G5 v( P( d9 N9 w5 S  plot count turtles with [color = red]
  l( Q8 E" H, b6 ^2 s9 q7 @* D  set-plot-pen-color yellow8 }$ H6 K! g" F6 I$ N
  plot count turtles with [color = yellow]  m" z: l" y; p2 z2 i0 m
  set-plot-pen-color green4 y7 k: [- P/ m; z; W; x7 }- }" _7 |& r
  plot count turtles with [color = green]% r# Y5 B% X* D2 I
end
/ Y3 D" {. K$ m1 z+ Pto update-lorenz-and-gini-plots4 C' I8 Z" D4 ~  u. U0 ^3 q
  set-current-plot "Lorenz Curve"
) Y! J3 k) E1 e2 O" l  clear-plot7 M, D# N" U8 d/ x' L$ W1 d

9 R- _( D" }1 i& q  set-current-plot-pen "equal"
3 b. _; N: }; p3 e5 e$ T  plot 0
9 T' u5 g& ]: x$ ]+ ~7 y  plot 100( n9 S5 Y" \5 z/ m

6 t/ t& p9 @8 D$ J; Q  set-current-plot-pen "lorenz", M) M9 t7 z! S  r
  set-plot-pen-interval 100 / num-people
$ H( t" A' @! `4 w  g  plot 0
- T/ U; l' G$ ~6 L- Z* n
7 p; \& t8 Q) R3 ~+ e2 n# y  let sorted-wealths sort [wealth] of turtles6 H7 A" ]0 A  G/ @4 @: ~) _
  let total-wealth sum sorted-wealths
. |1 V4 N: u) M( n' n, }* c$ n  let wealth-sum-so-far 0
" |  a8 ], c2 a( S6 ~# G5 u  let index 0
$ ^# f- E0 t; A- H  let gini-index-reserve 0
2 v* {9 ^7 `$ K8 w; t* `7 R6 i* h1 {: L' S" e) M2 w% c- w
  repeat num-people [! x4 J9 ?/ N- m" `# h$ W2 i* ~/ |
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 p2 }5 i. D/ Z) C8 G& z
    plot (wealth-sum-so-far / total-wealth) * 1005 x$ N" N0 m6 E( g' s: H$ D
    set index (index + 1)$ I9 z! e& w: i6 i( a8 _/ X9 l
    set gini-index-reserve
! M* Q7 z: F5 Q3 o" G4 k      gini-index-reserve +
, ?! f& ~  z; }; k  `. n- e      (index / num-people) -6 O6 U* @- K* C8 l
      (wealth-sum-so-far / total-wealth)
4 f2 E/ j6 l1 ]; w9 C) q  ]
, ^+ U+ V, j2 ^1 |0 C! k
# f' k' t; m8 ^- o, C  set-current-plot "Gini-Index v. Time"
& Z- B9 a  F& U3 K  plot (gini-index-reserve / num-people) / area-of-equality-triangle
/ M: H# ^1 ?5 \/ T$ I" L% U* ~/ dend
! r: A# z1 H2 Y. I7 A% ?2 wto-report area-of-equality-triangle
- S6 M5 l, L& n: {8 B8 l) s8 x  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)" u* c' I3 W1 k! P6 _
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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