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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, g% M* q7 ]3 r1 c# @
globals3 K) U* b8 n7 @
[% {" S( H7 K* ]8 l6 s7 q8 i. S
  max-grain    9 b+ D6 {  {) W/ w
( |0 X" p0 t- r( ~; c; G9 \0 u+ p
]/ M! K2 ?$ T$ D* w, B! \8 Z  l

/ H9 v  j- A1 G% bpatches-own- v% a' W$ G3 b* c# N7 a& u5 D: f
[/ Q4 f1 \& n" ^  o; s
  grain-here      & \2 O# X% T$ o% J
  max-grain-here  
, y4 \/ Z2 X- a/ R6 ^2 Y1 G( d]$ c, d1 m& G/ N1 l& Q- i
5 f6 x- Q8 q8 c8 M, ^
turtles-own# u; X5 {3 u. C$ a& b" d0 P5 W; n
[
& U) s* f: c4 C) `  age              * L3 O  e' P0 \/ y- O
  wealth         
+ F0 U, l5 O( E8 T# O  life-expectancy  " U2 f) e3 O# X2 W
  metabolism       : b  B- x) U* O* V7 ~
  vision( W+ M8 L* g" b' a
  inherited         
! }1 r2 O! @; k, K  C/ j2 C/ S7 n& E]
! n- o' p' W! k$ G: b7 o6 ^0 Q
# }5 Z9 H9 a& \4 @+ J( e5 g6 ^9 e: I5 `; f( ?0 P; \: j
to setup' P; D( @0 O; ]5 I) G1 `
  ca$ Q3 \" K# f+ u
  set max-grain 50
" t+ \* z) ^; V: f' o  setup-patches  \" L* f& i9 s% _8 m" w5 \
  setup-turtles  A7 K: n) Q4 s8 h( u. g
  setup-plots3 Z  t5 `! g4 ?4 `
  update-plots
- [! V- T: `6 v$ i6 b( oend  p2 V4 e4 f, e) F" _) T8 @
to setup-patches
( i" N& e, A5 t/ O# [% s" R  ask patches1 k. |. s* [2 T6 E6 \
    [ set max-grain-here 08 P7 y% u( \9 ?. \) p4 _6 q
      if (random-float 100.0) <= percent-best-land
' A; O( @' e( x+ ^/ l9 t0 z        [ set max-grain-here max-grain
1 J& @" ?6 m% O          set grain-here max-grain-here ] ], z( Z4 g' y& u3 U' O
  repeat 5
/ d6 c6 F3 b* K' o- u. e, |    [ ask patches with [max-grain-here != 0]- T1 U5 Z8 S9 ~8 i! j4 B: d  a
        [ set grain-here max-grain-here ]+ ^8 J8 ?* N7 M3 V0 P
      diffuse grain-here 0.5 ]1 G8 @# v5 O! Y+ j: I& ]
  repeat 10
' ]1 {( g" S$ l    [ diffuse grain-here 0.5]         
+ A: _6 V6 g, }% V  ask patches
- l6 E2 Q8 w* x) ~. N! B    [ set grain-here floor grain-here    % j9 \3 T* |/ \
      set max-grain-here grain-here      
: f5 p( F3 L$ \( V1 W  {9 B. V  h$ e# Y6 F      recolor-patch ]
8 ^. s& O( b( Xend
9 r% f- a3 Y9 }  s6 ^4 Q9 b( tto recolor-patch  
( o! ^/ m* {% ], F0 m8 s9 ~  set pcolor scale-color sky grain-here 0 max-grain
2 b7 O. }- z. tend
, C$ u: a2 g$ S6 Rto setup-turtles
: B, y/ p9 S8 P' U; x" e5 z  set-default-shape turtles "person"
0 Y) r; X, w7 k, g/ I  crt num-people
5 R5 T7 R, C5 U' x2 N! j    [ move-to one-of patches  
2 o8 H0 }  ~: w9 Y      set size 1.5  1 V, i* l/ B' z- B' `# L- X) v
      set-initial-turtle-vars-age
3 f/ Z9 ?2 `' |* ]% U4 G# W3 j      set-initial-turtle-vars-wealth
1 u* Z2 J, q: F      set age random life-expectancy ]8 R9 e" ]: F' u& k; ?% o  a; c
  recolor-turtles
  D# e. v7 C& h/ j  kend
( @. t$ \3 x' H* H. }" u: E$ o" m
/ o2 h( X/ ]8 [to set-initial-turtle-vars-age
0 b0 F6 E& w5 F3 C let max-wealth max [wealth] of turtles! |7 Y1 A" X3 ~% Q3 W
      W# F1 r7 K' X+ I3 e
     ifelse (wealth <= max-wealth / 3)
4 b" O+ h' E+ H  K" s        [ set color red 2 R; V" l& \* p6 e  H0 x7 j0 i9 \
          set age 02 o9 i5 z; s6 b. K
          face one-of neighbors4 : g6 U0 {# Z" f3 k. |/ J- O
          set life-expectancy life-expectancy-min +
3 z9 L. t' l( k$ z& W) U                        random life-expectancy-max
5 k3 d  J: n) @5 z          set metabolism random 1 + metabolism-low2 A6 [0 x" N. Q. `
          set wealth metabolism + random 300 v! x& x9 [! }( O& c5 E
          set vision 1 + random max-vision
7 J* b: k. f) Q/ E: `* t             set wealth  wealth +  Wealth-inherited-low ]
& L  D" U9 |) T$ h9 f        [ ifelse (wealth <= (max-wealth * 2 / 3))+ i! ~# I- v1 c0 ~: s
            [ set color yellow   z# X6 Q1 ?+ V3 V- t: @
              set age 07 G$ a5 `! H4 Y3 S6 \+ C1 C1 n
              face one-of neighbors4
3 s, Y$ R6 D; x  ?4 _& o! G# l              set life-expectancy life-expectancy-min +) h- B7 E. r6 L, o: a. N) j
                        random life-expectancy-max + 1# b7 V4 q, |1 d, `& W. Y
              set metabolism  1 + random metabolism-mid  b( _0 F% A- `# ~% B: k
              set wealth metabolism + random 30
: {; O& J% [+ R' `  Q: o  l              set vision 3 + random max-vision- Y/ \8 J7 v7 g( h
                set wealth  wealth + Wealth-inherited-mid]0 v/ m. m: O+ Q, y6 q' l8 H( ^
            [ set color green   C3 |. [4 t, Y# V
              set age 0
9 D, G8 z' O! R              face one-of neighbors4 9 G: v' Z5 n5 W. ~
              set life-expectancy life-expectancy-min +1 q. E* j/ o6 {6 q
                        random life-expectancy-max  + 2
4 `+ f1 w/ q2 m0 ^( F+ ?              set metabolism 2 + random metabolism-up2 R. \2 p* s7 x, K
              set wealth metabolism + random 30
& i- r8 M8 N' o, T% S              set vision 3 + random max-vision* ?3 [  {8 E7 v& L! j" q$ q' h
              set wealth  wealth + Wealth-inherited-up ] ] - B5 W0 T1 o: e" [7 {

' z$ X' h% f8 V/ F' T( Wend
) p. M( g' U3 o% O+ c/ X$ x5 Hto set-initial-turtle-vars-wealth( N4 f3 P+ g: F5 l. j! {# n* {# z
let max-wealth max [wealth] of turtles
0 o% u* B. I9 D          set age 02 @+ w6 y6 l! Z5 j; F
          face one-of neighbors4
: U% z- G0 y2 @- G$ ~; U          set life-expectancy life-expectancy-min +
( z7 i; S* N6 I7 F0 t' x, i                        random life-expectancy-max
& B+ M! u  K' }9 L4 r          set metabolism 1 + random metabolism-up
5 I/ j6 y0 `; P          set wealth metabolism + random 30' D$ ]8 A" w+ `, J' `
          set vision 1 + random max-vision
! Z  ~6 h: F8 q& g' J0 Lend2 A, O- v1 B  J6 C. b1 v
to redistribution
5 Z4 _7 G/ U4 p! N- J9 olet max-wealth max [wealth] of turtles' s5 }& T. A( |; c' M8 {
let min-wealth min [wealth] of turtles
/ |# p, V- m" g' ~if (wealth <= max-wealth / 3)9 E) O7 ]6 O6 L" E
[set wealth  wealth + Low-income-protection ]
6 L9 n+ x, I# C$ @end. \  ?; l4 P, a8 K! I3 S* |
          + M/ s4 J3 q% A2 _! x8 ^0 b
to recolor-turtles
9 f# [5 N4 v1 U4 |0 F  let max-wealth max [wealth] of turtles5 B: _& e3 @+ S. s9 s. P& ~
  ask turtles
  O2 A9 K4 g& C" C   [ ifelse (wealth <= max-wealth / 3)
' l! S5 ]& Q4 a5 i' m        [ set color red ]
" g  ~/ M) n9 Y# P  r% U9 Y& B        [ ifelse (wealth <= (max-wealth * 2 / 3))
2 k/ E: v- x' |: _* V8 h            [ set color yellow ], O; _8 g8 P% L2 \( l
            [ set color green ] ] ]# K. y7 W8 H. g0 K- u' v1 u
ask turtles [ifelse show-wealth?6 Y( d4 L1 _8 v3 z, `( ?' l8 T
    [ set label wealth ]6 I+ _. G3 E- W. T; @3 b. u
    [ set label "" ]]& z# R. {( i5 n; e( N! I5 n
end
; ]6 n$ m( h& [1 y! N9 \2 `* n0 s6 N& z( Z) \  w2 u! ~" S& [
to go/ V; ~9 R4 X6 s, ~4 R& |
  ask turtles
9 G' ~0 U( T% Z    [ turn-towards-grain ]  
* o2 l; H# a7 K9 Q8 S" l  harvest* }; ?# O1 e# C
  ask turtles6 M% k) b1 e& b2 P
    [ move-eat-age-die ]
/ u$ ]  z3 l/ F! D1 V  Y  recolor-turtles
+ L4 x' }$ E  ~; v1 ]! O! E  if ticks mod grain-growth-interval = 08 S4 e! \. D& X/ i4 W  R0 o
    [ ask patches [ grow-grain ] ]- s# u" D) |3 E# D+ I
   
$ o4 h+ B+ f" L0 ]6 d  if ticks mod 11 = 09 F5 P/ O! {, `9 Q6 U8 g8 O& X
  [ask turtles
, H6 S4 ?& |. Y* e! w  [ redistribution ]]' Q7 {- X! w7 I3 P2 [9 c* @2 D& O
  if ticks mod 5 = 0
- V* u3 b! E. q+ e. E   [ask turtles5 K7 n# M( }1 s4 Z, h5 T
  [ visions ]]
8 I' Z' n# a4 ~/ `" |  tick
! W, M6 @& q: F/ @3 I( [* u  update-plots- P# o+ {# F" F+ s: b; r
end" F4 n0 L( Z& U* H; J8 e: _
to visions# ~, V7 k) F5 |, x  p
set vision vision + 1
0 ?% a! ^* u" @end
& e# ~' y8 k" F( l0 x5 N5 Y8 Q5 R$ B1 f
6 v' ]4 m4 X' @6 i6 X) e

; o( H% \, k: w: G, {: k& J, m* u; Vto turn-towards-grain  / F% j) X" x. R+ A$ x% {, M) B9 X9 \. `0 G( x
  set heading 0- ^4 C& i  Q6 M7 U; Q
  let best-direction 0
, O" K# g4 F) z# O  o  let best-amount grain-ahead
2 `% s  b5 [6 {; z' ?  set heading 90* A  s& f% {# L" L; G! V  W7 N
  if (grain-ahead > best-amount)+ g6 Z: L" D0 R0 Y* y9 n6 d7 Q7 \+ _
    [ set best-direction 90' F! W- Y8 Z! w; N7 q
      set best-amount grain-ahead ]6 ~0 \2 T* l0 e5 e' v5 k) W: {. u
  set heading 180
' c" {& i% ]" q# L  if (grain-ahead > best-amount)
$ ?! J3 R& e$ u3 z" o    [ set best-direction 180
( r! R0 T8 E6 O+ G. {9 l      set best-amount grain-ahead ]
) k! z4 o4 P8 v  set heading 2709 w8 E% y) h7 _. i' A8 Z
  if (grain-ahead > best-amount)
2 E6 I& \8 s' J' \0 W( h9 t    [ set best-direction 270
- P7 ~% E7 U/ m# B, `, I      set best-amount grain-ahead ]
( r8 M2 A: t0 M) g- ^  set heading best-direction
! j7 E& a5 T* y/ K* o3 r. h  ~end
* S6 ]7 a5 m# ]* R7 q4 O9 \1 g8 k% ]( T7 D9 H1 C, i+ L7 B# F/ P" \

8 S8 H, Q' y+ N5 J' }. xto-report grain-ahead  7 S# U/ W: X" U
  let total 0( o4 x7 p" X* `6 A' X
  let how-far 1
2 ?! N5 Q( u2 r' a- [  repeat vision
& S" q. x  `% F    [ set total total + [grain-here] of patch-ahead how-far
' p3 v- V. ]1 X      set how-far how-far + 1 ]* n) T3 Q9 I* V+ L# _
  report total
  `) |$ ]4 `. q* m; nend$ Q$ r3 m6 n) |! F0 t! k" Q2 q

. m7 h+ g) k2 L9 P* U+ p2 mto grow-grain
% @. c( p1 T  {# k  if (grain-here < max-grain-here)# g7 m' }) g9 A8 C7 c
    [ set grain-here grain-here + num-grain-grown5 @" p' a+ e7 v: g
      if (grain-here > max-grain-here) 0 x  O8 T3 H9 \) `- E2 r3 R) K0 R
        [ set grain-here max-grain-here ]  I. R$ F5 u( K% V3 d- _3 S% J
      recolor-patch ]% f4 Y9 ]9 {/ C6 V, F3 o. S6 p
end" u5 y/ W! U  Q6 r7 f
to harvest3 `2 W& S7 S0 o4 ]: T+ r
  ask turtles
* K1 {; V7 Q5 a/ M* s: r    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]% S+ c8 I4 F' T# h- a  z( D* y
  ask turtles+ [2 w, A. Q, G3 P2 U. B
    [ set grain-here 0
8 J  W' H" l2 _3 M7 ?4 c- k      recolor-patch ]3 k5 [! D0 g% V5 O# o1 N
  4 o7 c6 U" j- X/ s$ d- X4 P0 l
end6 ^) \5 O3 I8 Q9 u; `; ^
1 f+ ]+ N! u; I! O) \
to move-eat-age-die  
' j6 h% v# f3 @* b' e0 l9 e$ N  fd 1% m' |& w  V. R+ F$ M# K/ N+ b
  set wealth (wealth - metabolism)
- |0 {4 r' @+ g$ T) X# y    set age (age + 1)
2 }1 Q& k! d0 M  V, P  if (age >= life-expectancy)
* T+ \) {. ]/ V6 P& K    [ set-initial-turtle-vars-age ]
+ m: t& _5 A5 L- ^3 y1 o% ]" f7 N) x! k  if (wealth < 0)' B7 y( J' L) q$ d
    [ set-initial-turtle-vars-wealth ]
7 p1 C" @9 ^/ v5 l    ( @$ m2 [; T' r6 ?  {1 W3 X! P
end4 S- Z- g( c/ j) A. E
4 J3 r7 P; Q# l$ M

7 r  ~% W+ E% O# s+ S: `, X3 yto setup-plots3 H3 ?4 f, N3 ~6 r2 Z9 H
  set-current-plot "Class Plot"
( ]. F& q7 g, U3 z$ S  set-plot-y-range 0 num-people
3 `$ l( D. L7 ^2 t  set-current-plot "Class Histogram"& S1 o1 T. J" o5 G, c2 K
  set-plot-y-range 0 num-people7 h, C% z( _; k" l+ k
end. ~2 z2 t4 e; h3 j
8 M& f% U& y8 J" V" T
to update-plots- S2 j1 s% b0 @$ F" a* Q+ R
  update-class-plot# l! O0 A! g: x
  update-class-histogram
$ b9 [9 v! ~  I) k8 [: p0 m  update-lorenz-and-gini-plots& F4 b. k  {: c/ F& j% K1 E
end
' a+ r8 n' V  g/ t/ v) `! |
0 q2 H8 u: y. K. O; w' i6 H# rto update-class-plot
7 W9 D) p- w! L( T- \  Q6 F( p  set-current-plot "Class Plot"
7 b% z5 T: @. h6 |' V  set-current-plot-pen "low"+ P3 Z  p6 n) ?) n5 r- p( k$ K4 O
  plot count turtles with [color = red]
) n8 P) w9 k% V9 `% v  set-current-plot-pen "mid"
% e, O, p' d+ @5 {& I% Q) B  plot count turtles with [color = yellow]
8 h3 I6 ~: j+ [  I; y1 k) c1 G  set-current-plot-pen "up"
* |' {# U8 p! `, ]9 q; N  plot count turtles with [color = green]4 W1 ?) i+ {; @. T4 l1 R# P
end5 L( l. o* J9 q0 ~3 C9 `

6 d9 R6 ]8 Z2 q8 g4 t; i$ @' ^to update-class-histogram) n8 Y+ ?- T. |, Z6 W
  set-current-plot "Class Histogram"
* `6 D0 H8 B6 }: P8 y8 U, u  plot-pen-reset
% s* c+ a2 v+ p) U" [* t9 @* E  set-plot-pen-color red
- e4 f1 q/ L5 W" E  plot count turtles with [color = red]/ m1 z' a5 g9 V* ^/ [- ?. M
  set-plot-pen-color yellow
% E9 x- L$ b# r9 ?1 I0 A" x  plot count turtles with [color = yellow]
4 V' Z! T  S( X& i/ n8 r  set-plot-pen-color green
8 g& T5 F2 Y, I2 o, x0 u8 a- R  plot count turtles with [color = green]& R% }, S6 Q7 r4 f, m; v
end
  _- B8 q/ c( @$ `9 @% B4 ato update-lorenz-and-gini-plots: m7 }# I- G% `6 ?8 J' c( g
  set-current-plot "Lorenz Curve"
; e: E. u7 K9 [  clear-plot. \& p7 K  Q+ n4 U" L  g% f

) t; s$ T8 _; ~0 B9 h( g( ]  set-current-plot-pen "equal"
# X/ ~1 Q- _: u  ~+ `  plot 02 p% Q1 [2 Z. y# \/ L
  plot 1000 d* {2 C- _3 [. g4 D2 H9 D

2 l5 g8 S+ f3 T9 N9 F  set-current-plot-pen "lorenz"7 Z% r" ?( e4 [, D6 T
  set-plot-pen-interval 100 / num-people3 Y" E. t, o0 m1 {/ j5 p1 \
  plot 0
8 l  ]/ {3 h1 h9 [5 c
! F. O& n) @: {( f  let sorted-wealths sort [wealth] of turtles# A, c. U/ e& R. i
  let total-wealth sum sorted-wealths$ ^# n$ c9 A% y, m( C9 V" V  H
  let wealth-sum-so-far 03 Y2 [( c3 N) `. @6 g5 E
  let index 0
7 J8 y$ g, r, e9 C; l( H  let gini-index-reserve 0
+ h, b, q, |0 T+ N
' g. M1 ~8 Q9 k+ l$ I  repeat num-people [
. }" n. P3 T; r/ ]: e- G+ Y    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
" B  l: h, E+ j* V9 ~    plot (wealth-sum-so-far / total-wealth) * 100' `; \) ]( `1 b1 J: D
    set index (index + 1)
" F+ X+ G3 O. v. G, Y    set gini-index-reserve6 C9 `# G! k9 [* |1 Q# d
      gini-index-reserve +$ W9 S% b7 \5 B0 {( ^
      (index / num-people) -
4 ^7 |( a% d: E0 \      (wealth-sum-so-far / total-wealth)
7 T& `  C2 }. C/ A( @# K. \4 O  ]
" W( Z1 [& M* R- w8 g4 H% D! n  G8 T! w1 {7 p# t
  set-current-plot "Gini-Index v. Time": F6 ?# r% D% ~. \2 m8 u; S
  plot (gini-index-reserve / num-people) / area-of-equality-triangle$ Z0 q# _% H4 l8 r3 L- y( W# A# }. b
end$ u2 X: {  u3 F5 j) _' ^
to-report area-of-equality-triangle) J$ f. X! c3 l. ]7 W
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)" u- d, J$ w$ k: N
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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