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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" x: U( O$ s7 t9 ~
globals
# r7 G+ C/ O- \% h[
7 b. @, Q4 i8 @) [! ?$ O  max-grain   
& k& p) R1 Y8 w& l! |9 T+ n# ]( I9 J. m  Y/ t
]
1 ^7 o% d' O$ M0 ?; X. e& H+ l0 v) _* E8 G5 ?3 t
patches-own
0 E, x5 s: R3 ]3 T4 n[% D- V! A8 ]0 G1 j$ g! o. v1 E# z" p
  grain-here      
0 F, ]: C: g- {# d& A+ D# c0 G6 Q  max-grain-here  9 y. Z1 Z% i4 \6 G, B' _
]  Z/ w7 @5 Q- v* `

. @2 B& t" e' y6 B0 u" W" yturtles-own' o  }' D( }( H7 m8 f
[
: K$ @3 M% u$ s; F7 q2 F  age              
+ `4 R+ P) b- T; d  wealth         
+ b' T# K8 U( K( l9 h  life-expectancy  
. B, `) d% T, h& ]: d( j  metabolism      
  A: j! }" S% O9 I6 A9 @  vision4 T$ ]5 K6 Q+ y. a
  inherited         . C+ w! L4 A* p4 C/ A2 ^$ @
]
% r' ^4 F3 L& L1 f1 ]: d  s; q( \! H" [* v% g" j6 Z; n4 `

( k! R7 }1 h9 g( d* ~: _to setup
/ j8 a: I" y# H$ N  ca: H' X9 q% m5 U' E9 Z
  set max-grain 50/ ~) R% E; W, M& k2 i3 \* o8 H
  setup-patches( w3 ~" O' O. s( p8 x
  setup-turtles/ ~3 @, [8 y0 D4 W( _
  setup-plots
. N* U  O- V5 l; l* b0 d  update-plots
* w& z5 L3 {" Fend
$ \+ Q9 E9 L: M/ qto setup-patches
3 r; ~1 Z$ x7 i, ~2 ?" s9 R  Y* h  ask patches+ ]7 M4 S. a7 L  ~  G
    [ set max-grain-here 0; U/ z% B) `' P5 X( a* T' V. k: A
      if (random-float 100.0) <= percent-best-land
' A/ L  y. X2 E  I, a6 Q# M6 p        [ set max-grain-here max-grain
. i' n' e0 Q% @6 x6 x          set grain-here max-grain-here ] ]3 ?3 T' ~9 g1 }: h9 }% g; z
  repeat 5
5 C5 {1 [. V, M    [ ask patches with [max-grain-here != 0]
% X6 b" P0 h. q        [ set grain-here max-grain-here ]
5 F' Y  q3 h5 f( V0 @0 s      diffuse grain-here 0.5 ]
+ V% v  a$ E7 H$ ?% h0 x  repeat 10
# L9 o" O4 ^% t2 Q    [ diffuse grain-here 0.5]          . y# y7 R* I; r; R4 ]# a# H
  ask patches
1 I& j* y6 @" O& R+ i, X    [ set grain-here floor grain-here    ) H# G! q$ m7 w4 N  b, J
      set max-grain-here grain-here      
, H+ z5 O. O" `  K. ^7 e6 P( z      recolor-patch ]  t& n" Q5 q7 x* X: E9 S
end
, R/ u8 t% S; [7 _1 Dto recolor-patch  0 j" ^* h, Q! G8 [/ C4 G
  set pcolor scale-color sky grain-here 0 max-grain2 }" p4 ~  Q' s
end9 _% Z1 y# r  X5 P. b
to setup-turtles5 `& ], z# H5 \. c$ U! e
  set-default-shape turtles "person"! v) x5 G, |) e. F! K* D
  crt num-people
. Y0 ?+ D  ]3 p- ^% w    [ move-to one-of patches  - B* D) b( }' E: x8 T
      set size 1.5  
5 ]2 [  u0 c6 }  n$ a      set-initial-turtle-vars-age
  C9 c; o3 L% u      set-initial-turtle-vars-wealth1 W6 A4 ]3 p" I( J, m% K( l
      set age random life-expectancy ]
& Q, h1 `+ X2 K  recolor-turtles- K3 [7 e% M5 s4 |
end. N" ^2 O( ~& B  _& N; s& f9 _7 x

  `( T, M  w6 a  r0 yto set-initial-turtle-vars-age2 c1 ~1 u) H* h- Q
let max-wealth max [wealth] of turtles
: J9 W! F/ j% [- [# g6 @1 c    4 q: `2 S2 O8 ], C# Q
     ifelse (wealth <= max-wealth / 3)8 p3 l$ r; ~" ^# E1 }/ M
        [ set color red % W6 ?: H, G" [6 z  F/ H
          set age 0$ W; _) i% e- n) X% c. W7 k8 M
          face one-of neighbors4 . x( \6 L  ~7 v0 c
          set life-expectancy life-expectancy-min +
, e" I' d# \' e1 u                        random life-expectancy-max 8 t, H3 e1 a: a; ~
          set metabolism random 1 + metabolism-low+ y! \! C& N& j1 S
          set wealth metabolism + random 30
; y2 T- K; x# _% L, c          set vision 1 + random max-vision) g+ [- M8 _0 N$ a- ~, I
             set wealth  wealth +  Wealth-inherited-low ]
  x# J  a% F9 w* G: n        [ ifelse (wealth <= (max-wealth * 2 / 3))
! Y' f8 d- X4 Q! k            [ set color yellow 3 u( l3 B4 C9 X/ F
              set age 04 j' {& X7 c& W, X
              face one-of neighbors4 - r+ T- b! z/ P: w
              set life-expectancy life-expectancy-min +2 D( E5 @) v' T7 o+ ~6 L
                        random life-expectancy-max + 1: ]' E) F2 q6 T( [/ S6 {- l3 s
              set metabolism  1 + random metabolism-mid
- R( |: B7 {& X3 G3 t) v7 p              set wealth metabolism + random 30
' V0 m- C4 y, O$ s9 @7 C% C              set vision 3 + random max-vision
- i* Q1 X, B: k! l1 H. g                set wealth  wealth + Wealth-inherited-mid]
- D( |. O) I: ]- G( w, O            [ set color green
- O+ l8 p' Y' c0 m5 N+ U; F              set age 0
8 T8 T. c8 a: ^! t" ^# H# n/ j/ }              face one-of neighbors4 / x( u& r( k/ u& Y; V
              set life-expectancy life-expectancy-min +
/ L( V" W- A1 Y7 L7 z$ K                        random life-expectancy-max  + 25 V- [' P0 T- i! r
              set metabolism 2 + random metabolism-up
9 j  K, L, I: u- P" ]              set wealth metabolism + random 30
5 f9 G0 B; G7 |2 d" [. [/ [              set vision 3 + random max-vision
2 G" F, \7 t$ L6 o. S. G              set wealth  wealth + Wealth-inherited-up ] ] 7 c& J9 o$ x2 Q3 V& M5 t

  l7 g! {: M- g# T5 K4 {end1 P+ f4 p/ t3 ?0 U, V3 T6 S
to set-initial-turtle-vars-wealth3 \: D' D/ L, L6 T/ n( }* {
let max-wealth max [wealth] of turtles
  @. g! Z  ^- \/ O          set age 0$ b% h$ m$ W1 M- l1 @
          face one-of neighbors4 ( k2 E4 u* z! k: s/ I2 i: o
          set life-expectancy life-expectancy-min +* h* _7 u# i  n* w% M& h
                        random life-expectancy-max 1 R* l$ d& y, o4 n* k  R
          set metabolism 1 + random metabolism-up
2 F/ ~8 c; _  Z3 H# m) u          set wealth metabolism + random 30
2 w$ K! I% P# D% E$ `" Z' O          set vision 1 + random max-vision 5 V( ]% L+ e) {8 s5 M5 ?! @
end4 q+ S# s  |1 `2 w5 p
to redistribution$ ]% s5 i) y5 l( `8 Y- @
let max-wealth max [wealth] of turtles
( t9 ^6 G6 t1 s6 ]8 ^6 Mlet min-wealth min [wealth] of turtles6 K; ?( ~% O: j+ E( c! Q0 q7 c3 l
if (wealth <= max-wealth / 3). N. x3 f7 {8 W) ]
[set wealth  wealth + Low-income-protection ]+ q- B" Y. u; l, s$ _
end7 L7 O; e! Q8 ^" ~
          - s: a: G0 T) n! Z
to recolor-turtles" |/ j! X: z) g; {; b# A
  let max-wealth max [wealth] of turtles5 Y7 Z) h2 j, H3 H% e9 `* p
  ask turtles5 M8 ^2 B8 x" i4 I. d" `
   [ ifelse (wealth <= max-wealth / 3)
& L3 t7 U0 x% I. I/ v4 X$ N        [ set color red ]
" Y2 V2 g' N  F. c( }! C: r0 u        [ ifelse (wealth <= (max-wealth * 2 / 3))& [! V& {6 c/ {, y
            [ set color yellow ]
- I/ A8 q, E# _, b/ }            [ set color green ] ] ]
: E! q7 S" G6 M6 i ask turtles [ifelse show-wealth?  K+ ]6 {( \) Y; M
    [ set label wealth ]
7 S! v& |+ C3 A' S1 c1 X    [ set label "" ]]
% o$ D$ b. ]3 j) L, k3 @: B0 r% G; gend
: J$ O2 Z' K$ a$ u& t8 S' E) O) m" w, {( h( G' }. @0 v" G
to go/ Z5 Q- l8 K3 l* [6 |* G9 P; d1 z
  ask turtles
& m- h; ~) j! J' ]0 g. n    [ turn-towards-grain ]  . q& L! a! b( R) a
  harvest
! h* C5 e% ^$ ~4 Y  ask turtles" V6 A  ]. u' P8 }
    [ move-eat-age-die ]
, g! ]3 ~+ _7 u7 E  recolor-turtles
2 F) Z* i: q$ ]% V% P6 h  if ticks mod grain-growth-interval = 06 Q7 a; p' h# `- ~& b5 O2 S
    [ ask patches [ grow-grain ] ]
/ f1 b* c6 T9 i' n   
' h1 g- Y3 e! f5 a. y" P3 _  if ticks mod 11 = 05 K/ |- R' J5 J8 |  V( o" c: g! h
  [ask turtles
  Y" X0 I, {# J. g. X- W' X" R( F  [ redistribution ]]$ E' L7 G# ~' {
  if ticks mod 5 = 0* K% k4 q, X* [. V
   [ask turtles
/ c7 p  e$ ?/ {  f( l3 W2 m: G  [ visions ]]" Q0 K/ U0 S  R8 N& l, z9 z, Z
  tick
* k2 _: P% U" ~- K. |  update-plots- Z8 a- C' w* C. ?; Z# ?3 e
end" U' a# b9 X6 f- _; N- K" r8 D
to visions7 h! E* |- i# T* x
set vision vision + 1
, h; K5 G* F& S% W/ I" k# jend8 w( s/ H/ {' {5 y
& G3 o: Q' h" [- g
! |5 L6 T! ?- |: T. X' l8 U, m
1 t# s0 e$ L9 ^' m! h; o
to turn-towards-grain  
" K( x4 e$ F! r% Z0 |  set heading 0+ j$ A# A* y1 I7 @& i8 ]- p0 h- O; K
  let best-direction 0' L( _* P2 x5 ~# U& [
  let best-amount grain-ahead  o$ ^/ B- k: Z) |
  set heading 90: F' H  s, H5 K$ F3 F3 I
  if (grain-ahead > best-amount)0 U8 B+ @! ~4 @; H  L' j! d0 ~! k
    [ set best-direction 90
- D; Z- U8 D; `+ Q. ^9 |      set best-amount grain-ahead ]2 u/ q) d# o9 _
  set heading 180! u% `" ^7 b+ W
  if (grain-ahead > best-amount)
4 ^3 C* S- v. Y, L    [ set best-direction 180
& e0 d7 m$ X/ B0 h) H      set best-amount grain-ahead ]' m1 y6 p: ~. Q5 B3 y) H
  set heading 270
3 @3 K6 o1 V6 ]: C) o+ x1 Q  if (grain-ahead > best-amount)& u$ \) E% E! d
    [ set best-direction 270; G/ k8 F7 W/ ]4 q+ I
      set best-amount grain-ahead ]
; v3 {- E2 f" v' H3 M/ a- @  f  set heading best-direction
+ d* ]7 w% E- S6 [  }end
5 @# O5 x6 n# T& B) a) S5 h$ p- Y8 I- f) v$ d8 G. T* {
3 m7 t: r& s5 K
to-report grain-ahead  
# a% |+ U3 k$ i7 Z3 J! \  let total 0" _6 o6 x7 @2 ]$ d6 O
  let how-far 17 i4 h2 K1 @) O. l  f! m
  repeat vision8 ?7 {- M: b) Q; u+ R) y
    [ set total total + [grain-here] of patch-ahead how-far# m- v! u" k& q+ R% a5 s& ^
      set how-far how-far + 1 ]
9 x" k4 B/ l: _2 X# p  report total. e0 ?7 Y) m9 w  k/ J9 m0 ?+ g+ L7 h
end
" J) O. ^7 Z5 R# T$ [8 ~& c7 A& N8 c; _& l8 a9 }! C
to grow-grain - n/ B6 h) Y! `# I+ b4 i
  if (grain-here < max-grain-here)* o6 @6 }- `/ n0 A& _
    [ set grain-here grain-here + num-grain-grown; P8 M9 d) [9 V' X' }$ m8 f4 v
      if (grain-here > max-grain-here) $ f- u7 l, f; F! S8 j
        [ set grain-here max-grain-here ]6 Z+ J/ m: R) z
      recolor-patch ]
+ y3 K' y5 w: G  c% Lend
2 X# G( z1 p4 _4 h; Y' ?to harvest
: {0 R3 X+ P; U; I/ ?8 a  ask turtles
& O0 V# ~- w4 n4 f+ D" J! ?    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
- z2 e9 f0 t( M  ask turtles. Y+ S: L$ q$ s1 ^* t+ D( t: @
    [ set grain-here 0  r* `1 n# ~# b# t- H
      recolor-patch ]; l$ V* M% t6 z' c
  & T, f4 A% \/ B2 J
end/ r7 Z$ M  v  R9 d8 a

6 l- A( ~4 F& x$ }* Xto move-eat-age-die  4 r9 k: a9 D* `. i5 {1 j. B. E
  fd 1, [1 B1 ]% A* L. B6 _: T" ~- o1 j
  set wealth (wealth - metabolism)
1 @& Q" C% t; ]; m0 G    set age (age + 1)
* _2 m- V, a( F1 u  if (age >= life-expectancy)1 ^5 _; \; r, v
    [ set-initial-turtle-vars-age ]
- x) G9 d  W9 {  if (wealth < 0)- y, X4 ^9 _; b
    [ set-initial-turtle-vars-wealth ]
3 A" Y( c' }0 U- c* j    , m1 T% h5 U" u" B
end
8 d+ ~9 |9 |" [% ~/ \  X) \# @% b/ Q: N

# X9 d. w3 c! v. ]/ o5 R! R, j& F# v* oto setup-plots
- j5 r" g2 O' }* O  set-current-plot "Class Plot"0 v1 `) X( s8 @' f+ r0 Z- a
  set-plot-y-range 0 num-people; G2 L3 w& Y3 }: h# T! a
  set-current-plot "Class Histogram"% P, N9 F+ u2 u! A. G
  set-plot-y-range 0 num-people
8 q, o6 _. ?  |3 Qend7 n6 r3 p" s1 M' L1 |6 S
7 r+ Z- w% W8 q, z6 [
to update-plots8 w3 Q- q5 }6 v+ @; [
  update-class-plot
- r9 g  P1 F, E: c/ Q  update-class-histogram
" Z  j$ |/ M; f0 T  update-lorenz-and-gini-plots
) I& [$ b4 b) E$ o" f% _end; R6 g. ?5 n6 R
2 r0 k+ l! x; m
to update-class-plot  \7 ?8 u3 t( G9 n0 N; X
  set-current-plot "Class Plot"
+ S. }/ g4 p% X1 ?! @& f, K  set-current-plot-pen "low"
$ X/ O6 m- r2 v2 r6 g  plot count turtles with [color = red]" H& c7 c# ?$ D+ k# o5 Q( V2 ?- ~
  set-current-plot-pen "mid"( y1 ]1 e9 c- c
  plot count turtles with [color = yellow]% a5 s# {, p! R: u( E; T; \3 v; w
  set-current-plot-pen "up"
7 F( T$ k  x" m! z: n  plot count turtles with [color = green]
* l# s! P1 ~: wend1 f9 D5 K# S5 L) z& g& k
, A: V. n( T& |' Q$ d1 L8 n" W
to update-class-histogram6 i8 N6 a; K( b& L; M* W
  set-current-plot "Class Histogram"6 f/ l, G% r) H' [
  plot-pen-reset
8 H9 e. H9 @4 z% d# A# {  set-plot-pen-color red
9 P3 q( a, `3 i) @0 b: o, y+ k6 _* u  plot count turtles with [color = red]+ {5 G, J: x( k  G  @
  set-plot-pen-color yellow
2 S  M) _: ]0 W  q! R5 E* j  plot count turtles with [color = yellow]
3 x5 H$ C/ h4 W# q0 ?2 F" c  set-plot-pen-color green, b+ ^3 M3 \& q/ M8 G
  plot count turtles with [color = green]
" D8 s5 q( {8 B. pend+ w) Q/ _) b+ y/ t2 _! r
to update-lorenz-and-gini-plots" k1 L0 B# N$ `8 Y
  set-current-plot "Lorenz Curve"# a  d' b- A+ R  p
  clear-plot
! g, W; P0 ?" C1 Z8 H: b: E: N4 N# A$ `/ J  D2 p4 @* Y2 @  ^" P
  set-current-plot-pen "equal"- d+ J0 Z6 K% I* w$ p& }
  plot 0
1 a- R1 Y/ ^7 _% n" U! I  plot 100* b0 `! J4 L- @# R/ f0 a: Z6 f

( g6 a2 Q+ [! x* u6 S  set-current-plot-pen "lorenz"1 _* x5 e6 S+ i) S
  set-plot-pen-interval 100 / num-people( ^9 O& D! D+ e
  plot 0
" K9 P" p0 ^, p4 d& v- c6 n* o, Z+ L2 B; G) B0 B4 y5 c/ j
  let sorted-wealths sort [wealth] of turtles8 C  G, Y. @+ P; M& @9 D/ F$ {
  let total-wealth sum sorted-wealths4 K1 M/ j$ a9 d# j& V5 M( ?
  let wealth-sum-so-far 0( t2 J  z0 A! p: f& ?3 P
  let index 0
9 F' i  j+ _) ?/ b, K& u4 g. Z# t' i  let gini-index-reserve 0/ o9 k9 y4 q# b5 _3 q7 S
+ ~) x# u0 K5 O& d  t
  repeat num-people [8 [5 R( Q9 W( a) Q* c7 n
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
9 T9 q! n0 Z' o' G" M8 ]9 }    plot (wealth-sum-so-far / total-wealth) * 100, L* E, S, t4 K: M
    set index (index + 1)
' H  p" R: p8 x) [! m  S) q1 p# k    set gini-index-reserve
2 m6 f& ^. _% I2 J& C7 M& v% E      gini-index-reserve +/ j0 p% z0 y' c1 _% J$ r. U
      (index / num-people) -
8 k; J$ V+ E( {4 w' Q% n- Y/ v      (wealth-sum-so-far / total-wealth)2 R0 Y8 D/ E0 h2 `3 g6 J; q
  ]% Z8 j& w: l( g- y( t. I) {& J

7 |) u2 J% K7 _6 G  set-current-plot "Gini-Index v. Time"7 o9 Q8 c/ w# b0 }: `- d
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
2 Z2 W  `& q' u/ D, u. \end
6 ]& |4 h) X* wto-report area-of-equality-triangle
# [5 S. t" p) t$ Z3 z' w4 B' z5 [. \) Q  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
! |$ m  y$ V9 ?9 _4 \( n$ N: 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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