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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' M  U: F+ Y, t) N( }5 M4 f
globals
3 k. d3 X" @7 c, o9 r[; a2 N$ ~& ~6 l) g5 I2 q
  max-grain   
/ v; i1 X$ G- m
9 {3 g( C: c. F6 S" \/ j  j! C9 r+ T]% H- Q+ v: P  s, P
8 A8 [$ |  [% K: ~6 W: @- R8 z
patches-own6 {5 k1 C- a, S, p
[* N! n) {4 R* h
  grain-here      " d. V# J* T. \5 y; a* |0 A& e
  max-grain-here  
. s2 I- w5 W. @# g; a7 t5 p8 K]! o" V& t% E1 \- s3 }

% R/ r: [  t/ @6 S7 K8 I8 l1 iturtles-own! n5 G+ j8 r4 J2 `, m1 W0 U
[! y' C: u; ~$ W# m1 a- K( q; n7 k) s$ o
  age              
- \+ ~. v- P' X2 t/ T3 }" H  wealth         
  E/ }. {& F, Q; v  life-expectancy  $ u- O3 E( B( W1 n+ O+ K- b
  metabolism       " P( c6 \) f8 o6 d3 E4 E* n
  vision
1 ]' |. P6 F- ^5 B3 h) L  inherited         
% b+ U' e) z  `* ~]- K7 S) W& v" v
& x# u1 x1 t: P8 X. T

5 n, ]9 k- m- J, E+ d" T- w3 ato setup
9 i7 a: S& ]7 s2 F  ca1 _7 \5 u; }: p
  set max-grain 50
* f& {" h1 Z# b, P# W% }; ^  setup-patches
! Q% L; |0 B* h# }0 N$ m  setup-turtles
- x7 F, d# T1 u# i  b  y  setup-plots
! ?4 j7 \6 @$ e" L, h, i7 d7 h  update-plots
" q; M8 Y2 x% C. U3 |; h( oend! V4 ?2 o4 G9 Q% }
to setup-patches( i; [# s* x7 c% |# s
  ask patches
% \% q6 k4 f' c' `8 Q    [ set max-grain-here 0
5 m# R/ l) r$ t: r# Q6 Y" r1 N      if (random-float 100.0) <= percent-best-land
" ^9 H. Z: D4 [3 s4 c5 R+ u        [ set max-grain-here max-grain
( H' A% Z2 J+ S$ l! l: m          set grain-here max-grain-here ] ]
3 @; R, [/ h& T+ I3 i3 [8 m: c/ D0 }  repeat 5
4 [& }$ R9 [) V- _    [ ask patches with [max-grain-here != 0]& p  V2 ^8 {$ _6 _- R
        [ set grain-here max-grain-here ]
% i  ^$ W9 t! L5 a      diffuse grain-here 0.5 ]
* z: ~$ x1 T  F, D& j! b8 S; O  repeat 10
& l$ N  a& r8 n% t5 y6 C    [ diffuse grain-here 0.5]         
8 ?+ g% P6 l2 g* f6 k  ask patches
4 g9 \0 F. U; b. ~% b7 f; n* d    [ set grain-here floor grain-here    " H: X/ c* ^% q4 l4 J5 O$ k
      set max-grain-here grain-here      
5 Z& Q, |+ T4 e6 y      recolor-patch ]
  c3 Y! p8 l5 N- s% _8 [0 s' d9 Vend
  t2 W; C4 Y; u! _2 b/ t2 k5 ^7 }to recolor-patch  # [7 Y$ A5 v% V+ g
  set pcolor scale-color sky grain-here 0 max-grain
  N! m6 e  b" ~0 Jend
) n; X+ H- [0 B4 nto setup-turtles' Q5 }4 x4 _7 d6 \) d/ }! B
  set-default-shape turtles "person"
+ t( X- ?* \) B' J! ]) h: `  crt num-people1 G" Z. D( X6 q, b! C( O/ u
    [ move-to one-of patches  : C- Q( ~( c& E9 Q
      set size 1.5  , Z3 }& X$ E# x) \6 y! m
      set-initial-turtle-vars-age
5 \1 L6 P% m  B! U) A7 y      set-initial-turtle-vars-wealth$ q1 L: F4 W" W% t+ F3 ~. t1 W
      set age random life-expectancy ]
6 R! P/ U, h! t% }  recolor-turtles4 g8 M! M. i. T
end+ v0 ~2 [1 K$ L3 t" M0 K( n

/ n& J/ H7 \$ p' e+ \to set-initial-turtle-vars-age
" v( d- _  x" W9 k let max-wealth max [wealth] of turtles
$ a, L9 L+ i. w! |% \   
% a' `+ y, F6 n" f" m% P     ifelse (wealth <= max-wealth / 3)
- g8 k% H$ }! C: m5 d8 f  o        [ set color red
* M# j, b2 ?6 \" L5 @+ A          set age 0
8 ?# Y0 f: c) l          face one-of neighbors4 . T: G# @7 _& m7 c$ }- T
          set life-expectancy life-expectancy-min +
) D6 N5 n- f/ r+ _2 t+ [& `                        random life-expectancy-max % T8 `$ q9 W7 |0 G/ F- _- _* w
          set metabolism random 1 + metabolism-low
+ a; |- \6 ]. c9 k+ I          set wealth metabolism + random 30
' L% K1 b& u+ L8 A! @$ K( D8 p7 Z/ s          set vision 1 + random max-vision
4 k* b$ K1 I' V% R- ]             set wealth  wealth +  Wealth-inherited-low ]
$ `# `. \+ {  T: T" j* F) T5 \. C- Q        [ ifelse (wealth <= (max-wealth * 2 / 3))
% W" U# N- ?/ f9 l            [ set color yellow 3 g) x$ w+ S2 y/ W6 i: A; [9 j
              set age 04 G! z7 h( t" w8 Y: X8 d. E
              face one-of neighbors4
' K. x1 S; j* f7 J" ]8 E              set life-expectancy life-expectancy-min +' o4 V" n1 Y1 e
                        random life-expectancy-max + 1
6 r, m5 L" D. _2 x/ E              set metabolism  1 + random metabolism-mid5 t! c4 }' V2 x0 L9 y9 J
              set wealth metabolism + random 30
" y* C, K3 o7 X0 L1 }. B+ d) O: A' v* o2 }              set vision 3 + random max-vision
" c$ c0 j; c, N( ^. H4 h6 I5 I                set wealth  wealth + Wealth-inherited-mid]+ _. G4 Y7 G" m% q
            [ set color green . \! u" {& ?! [& @' `' y  x0 Y
              set age 0
5 d2 q; x9 W1 Y/ t. s7 H5 t8 w              face one-of neighbors4 . B# m& U' r- p3 J5 x$ R# d
              set life-expectancy life-expectancy-min +, J) K& t8 @) s1 A+ X
                        random life-expectancy-max  + 2
% {/ b6 n1 B9 F( y) L) j$ |              set metabolism 2 + random metabolism-up, u5 L# J3 k; b0 f- T0 x$ M! s
              set wealth metabolism + random 30
0 v7 I6 q( |' T  c- n" `              set vision 3 + random max-vision2 r+ A! I% _6 w5 P) [/ Q/ \' t8 Q
              set wealth  wealth + Wealth-inherited-up ] ] ; J* s7 L+ L" L, }* y  u: d7 L% S

6 v9 n8 Q/ v- M9 J+ o3 nend0 B! T4 G, l! [5 |
to set-initial-turtle-vars-wealth
, L* H9 U+ P+ H" W let max-wealth max [wealth] of turtles. P: ]# K7 B' t5 a
          set age 0* A! K; {( t7 U" l6 t
          face one-of neighbors4 * W! L; o( ?9 j# _/ p  H
          set life-expectancy life-expectancy-min +, ~1 O) [( f2 I
                        random life-expectancy-max
/ o- ^' {& p2 C* u          set metabolism 1 + random metabolism-up1 o, H* X6 ?; n. I) C1 ^
          set wealth metabolism + random 30
- i, ~6 F) n3 J$ ^* p          set vision 1 + random max-vision 6 j5 I- q$ R) V) d
end* r: g" z! K/ q. \
to redistribution
$ ~8 J% p, S8 z' r6 t  Q0 P! ^let max-wealth max [wealth] of turtles2 ]1 t, ]/ f* [8 @0 c
let min-wealth min [wealth] of turtles" a+ x) u" m" D; e# @8 W
if (wealth <= max-wealth / 3); A/ C; c7 M) @0 M3 C0 }! V
[set wealth  wealth + Low-income-protection ]0 u4 `1 f/ v4 \' u% y6 G
end
! S' W% K8 R  f' c. l          + O; l. u; Y- P  v  w
to recolor-turtles) S/ w+ I: Z2 f3 T
  let max-wealth max [wealth] of turtles
$ |, L' t7 c! D  i2 f  ask turtles
% d- g( s% H, Y/ ^   [ ifelse (wealth <= max-wealth / 3)
. _6 j2 Z) I5 j/ Y# K. h$ t+ [, z% j8 Q        [ set color red ]$ j" P) n6 Z5 }1 W$ n# c' O
        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 I% [  N& Z3 }; W, e# x            [ set color yellow ]
+ p" P1 j4 X2 }6 @: V! [' G            [ set color green ] ] ]
$ k; ~  u$ f' L  D ask turtles [ifelse show-wealth?8 f0 d7 M( u7 X" d% f3 n  P8 S
    [ set label wealth ]" b1 B. I) F6 z5 Y3 W8 L( I7 I9 R
    [ set label "" ]]( g2 T/ Q7 Y0 M. D8 f0 j# k/ ?
end
$ u6 `2 L6 O0 x: \& T2 F) n! L! u3 J) O7 X) O! f1 t9 X$ ^
to go  w& x8 B1 m/ n1 X- k
  ask turtles
% [' p0 ^6 Q' c4 R! m/ l    [ turn-towards-grain ]  
' g6 i, r3 Z8 h! R9 t3 I9 s  harvest
& G2 {, z$ N6 Q) [; t+ a  ask turtles3 ~6 X& Y! D2 w! \* G& q
    [ move-eat-age-die ]
3 R; @# W- R$ C) F6 w2 E  recolor-turtles
" d% J  m+ }, e' n* N9 D  if ticks mod grain-growth-interval = 0
  i8 \6 r) Z) t    [ ask patches [ grow-grain ] ]* D& ^# E. S' d: E. M
   ) n0 R/ n: f3 i8 b( y2 Z2 W
  if ticks mod 11 = 0
& s6 X; b; n, E! p+ Z2 i) U5 t  [ask turtles
! G& A; i" t; c1 u  g4 P# w  [ redistribution ]]: t* b- E  u! i% d
  if ticks mod 5 = 0/ p+ }8 |# v* T
   [ask turtles
/ T0 k8 K0 K6 \6 |1 _  [ visions ]]  _. V( a2 @8 }4 S* w- d
  tick4 s5 b/ u+ m" }
  update-plots" \  c$ E& N; T% u2 Z
end
- J8 v2 b3 J/ }- O" j, dto visions
0 w. A, g  D6 b4 F  X set vision vision + 1
% N& y% q* T2 m* R, c0 f9 D4 Vend
& U; t* M; M' v3 {
7 [: o0 r0 s; w4 @5 i' ~5 h6 Y+ {2 |# \6 j7 W0 X5 U1 b9 s+ X/ v

6 \' I8 T  R) \' F: O: s3 o5 J: Cto turn-towards-grain  
; ~; \# [4 \0 [; Z) I  g, S  set heading 0- E6 m) ?) y9 ^9 @7 e, _! N
  let best-direction 0, u0 ^* @4 w5 H( t! P  s
  let best-amount grain-ahead/ R  }6 O+ Q2 M: j
  set heading 90; A. h4 {1 E% Z. S3 @( F
  if (grain-ahead > best-amount)
8 t6 Z. J- i$ c9 I    [ set best-direction 90
8 e5 `6 S8 [4 ~, J  v8 P, @, f      set best-amount grain-ahead ]# g2 x0 D1 x. l9 j6 k% J% @0 j) C, p
  set heading 180% u8 j* K' s7 Y3 H
  if (grain-ahead > best-amount)4 N# q$ l1 u2 G. e9 O, f% V
    [ set best-direction 180
# W! f" f7 k* a      set best-amount grain-ahead ]
$ q: B! ~& M& `2 U! P  set heading 270
9 D$ G+ b/ g* n5 ?" ~) i/ g  if (grain-ahead > best-amount)
( s2 N! U/ _% F1 i- g    [ set best-direction 270
, c! L- F( \: O6 h      set best-amount grain-ahead ]! c5 w8 X9 B' R* c
  set heading best-direction
- U6 O8 P/ E0 @2 {" c: v. Send
6 l* c1 ?) r1 s0 G& z3 x( ~; }  y6 F* V8 F
* Z- T* M; ~, n$ y+ C* E
to-report grain-ahead  ( l7 {+ J; v7 a( L3 s
  let total 0
3 ]. x0 j0 U6 U  let how-far 1% A( p# }- ^. x8 i/ v& {6 l0 G
  repeat vision4 P2 E  ~; n  R4 |
    [ set total total + [grain-here] of patch-ahead how-far
# N% e, ]+ H3 q7 S- f2 `7 S8 K$ ]      set how-far how-far + 1 ]- ~( m' M- T6 z
  report total6 `$ p: l. v2 u4 x: e; {0 z
end, _, ?! e: T3 J( T

: n2 q2 d. @, w4 k. Pto grow-grain # d, G( m4 p5 y$ V
  if (grain-here < max-grain-here)1 R0 V! J" n! K7 m! c
    [ set grain-here grain-here + num-grain-grown7 u% u3 E+ [3 ~# R7 {' A, V" T
      if (grain-here > max-grain-here)
* L# W! k8 T% J; y/ a$ K2 y+ I) U        [ set grain-here max-grain-here ]
, D; m' U# k, z5 b      recolor-patch ]8 v% J% M3 x2 ^! C4 ?  U
end5 X- m% N* D1 {8 x: i; a+ ]4 R- ]% @
to harvest$ |: n. ]' v* d
  ask turtles
. m! l; ~( {7 l4 \0 g    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- ^5 L& v# S/ S* [4 p  ask turtles  b% @# M2 h0 r( T5 g
    [ set grain-here 0
* t8 D8 H# }3 Z; E4 X! \4 d7 K      recolor-patch ]
- r" J( {8 s. I1 Q  ! D3 b# H% y- @0 r
end) r7 K$ k2 U+ L! n. B5 _
! c* {& ?$ j& K, {" X
to move-eat-age-die  , {7 w0 ^" y% W. I" P) b
  fd 1
8 u& F; y; }' J/ K  a  set wealth (wealth - metabolism)2 D) j! c. i) f/ T1 ]
    set age (age + 1)
3 q4 j& C; J' k' L5 @/ q5 c+ J  if (age >= life-expectancy)
$ U9 P1 _6 G6 B; B, Z    [ set-initial-turtle-vars-age ]  }* b1 Y& m" L# L% {) a
  if (wealth < 0)5 J' N$ o9 m0 i& I; Y( F5 j9 Q
    [ set-initial-turtle-vars-wealth ]( w  F$ |1 H) o) B& _3 y
   
% O4 ?' c: n* t+ m; G2 C7 wend; l. _" \& H0 C  h6 j3 G  d( f
9 _% q6 y0 K& T7 Z( l8 t: r

+ t  T1 o' B/ ^to setup-plots
/ ?" M2 E) g% ?9 k, a  set-current-plot "Class Plot"
; ?! P& c1 v* X; L9 J, {  set-plot-y-range 0 num-people
/ H( `8 v+ c& V( e& k8 {+ l  set-current-plot "Class Histogram"
5 S/ B' I' W+ Z' }9 C  set-plot-y-range 0 num-people
  i! V' [0 [5 C4 zend' N/ B+ s6 n/ z/ F% u3 G

/ X% ?* B: X# K+ Sto update-plots+ t) y9 L) ?' l) Z3 r# q6 T
  update-class-plot3 G* Z1 d! T% `! M" f5 i
  update-class-histogram
' A: e" {8 M9 T5 d8 ~% H  update-lorenz-and-gini-plots2 J5 M, o, d% l5 A0 @
end
6 t' i: u  B6 L8 r- _+ {- N6 c! _5 Y+ k* }
to update-class-plot
6 i: a( H4 L: d' N3 B; ]+ [" A9 V+ O  set-current-plot "Class Plot"
! c' p0 C  l5 l  set-current-plot-pen "low"
/ `1 c$ |+ i( E- j8 r  plot count turtles with [color = red]
; @" T7 m, U& D1 m: S3 l  set-current-plot-pen "mid"; s. N  P3 m8 P4 f% E9 ?. O
  plot count turtles with [color = yellow]
) C. d* n9 n8 A5 t- Y  set-current-plot-pen "up"0 Y$ K- T& J$ c
  plot count turtles with [color = green]+ G3 @' C  V, K, r/ K6 Y
end6 w2 X, W, M9 A2 Z/ H% Z, Y
6 A% v8 y/ [: k! a* e' C# c! T
to update-class-histogram4 i+ |& O; u4 v9 C
  set-current-plot "Class Histogram"0 w+ r% |% ^( w0 A9 B8 ^2 s8 d
  plot-pen-reset
  ^1 @- T/ R2 F* k4 F  set-plot-pen-color red
& e: @! o; `; @# A! U8 O  plot count turtles with [color = red]
4 j: M/ W  f8 ?! h  set-plot-pen-color yellow( Z7 N" B5 `# \
  plot count turtles with [color = yellow]+ w" i: W% c) ?' D5 R* j
  set-plot-pen-color green
0 b- Q) x+ u# M" M9 q  plot count turtles with [color = green]8 {2 g; @+ d7 A" B+ W! A
end
. A4 t$ h/ J4 Y+ P# jto update-lorenz-and-gini-plots
# X' i& I9 W8 E: _5 x9 K  n  set-current-plot "Lorenz Curve"; ?/ d) `' B1 D3 K
  clear-plot5 {8 q- B6 c8 h7 d8 k
$ C# O+ T( v$ `3 o
  set-current-plot-pen "equal"
4 ?/ f9 ]( ~' K5 M! f: D! i. H/ ?  plot 0
$ H( q! A% @5 n. C. B' i  plot 100
, R  o' n# }6 M" V. R/ U8 s: J
  r5 \; ?2 }" N  set-current-plot-pen "lorenz"
" R+ k; B3 B+ F; t" V7 O7 w0 N  set-plot-pen-interval 100 / num-people0 L' @+ F# {, _" ], w' e
  plot 0
$ R# S9 W6 v$ }( K0 y) ?/ C
$ |6 H! G: B4 J8 C3 X. M) ?! Q  let sorted-wealths sort [wealth] of turtles! `4 \' ^( d0 r) Y* j5 |) U* _
  let total-wealth sum sorted-wealths. a$ v5 v, ~. B$ X4 g6 A
  let wealth-sum-so-far 05 j7 t. @: [* c/ j) f& Z) e: ?
  let index 0' n: O) U- m1 I
  let gini-index-reserve 07 j) I) N' B8 P6 K) M9 x! m
+ p/ S6 P& }/ x+ e
  repeat num-people [
/ V: ~3 f8 [" `" q    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! w+ _) X2 l8 p3 A# d3 h  x0 u; B! j
    plot (wealth-sum-so-far / total-wealth) * 100. F  Q* I- A# R9 J0 X9 N
    set index (index + 1)' L' S! x, T9 ~* G! i
    set gini-index-reserve
4 Z; g0 L  _, f; [: @      gini-index-reserve +
. ^$ q% N0 Z" H* ?9 U0 v6 S      (index / num-people) -
1 @/ D) S4 S& `# {      (wealth-sum-so-far / total-wealth)
% [8 C' [# g2 V" j: @+ f2 ?+ h  ]/ P0 k6 F% M: H8 ^
* X2 y% f- F- m: B1 }' w& ^
  set-current-plot "Gini-Index v. Time"
. y$ V: v& w) w& L% M  plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 X; n) w- m- f& n* S" oend
- D/ I' i: _' t( j4 }to-report area-of-equality-triangle4 W+ `; G% X3 F/ O( ?! H
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)3 Y7 {2 V; k1 E7 l1 x! u8 k$ L$ A) Z9 k
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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