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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
4 [) }4 g+ V# D$ X  L, m+ u; a7 Gglobals- d  V; W4 K$ v3 A* U
[
1 Q2 m7 c' ]) {# w: z  max-grain   
" P0 Q. X$ |2 Q
" ?* _9 v: A; @8 ?]3 ^2 R9 i6 C- Q. S( ]! E( w3 i; C# q

6 b& J- K& f9 w: ipatches-own
% o+ M. {/ W# I2 x[
4 J: P0 c, u* H  grain-here      8 y1 {4 h9 b( f5 i& s
  max-grain-here  9 a/ Y2 }% O* j( J
]4 e, l  P  ?% C( M* o1 y, c  i% @
/ Q: k8 T. A: t- A
turtles-own
# \) D/ C$ V; W; n6 x0 i6 o[
" K* C" n  |. r; P; a+ F# ?8 h) `  age              
( q' e/ a2 ]  ]' J, l" B3 v  wealth         
. b: d9 O/ b8 X" C. g# n$ I  life-expectancy  , c: `9 @# e! B9 ?7 n* R: }/ X
  metabolism      
# J) m8 \& q9 \. M/ x9 t8 ~0 n  vision+ t6 u! X0 x: f# y. u: e8 N$ j
  inherited         
+ Q0 ^2 A. \  R. x8 C% |]
  [2 {2 q  F4 L  i
6 w, d  ]+ m& U6 n% w+ h3 z8 I7 C9 C+ u: e4 J; z6 O. H
to setup
: K) }& N- A- h" @  N: n  ca
1 ?' Z! c3 F5 `' R  set max-grain 50
  H' _0 O  a/ h7 h, R  setup-patches4 a4 z! ~8 s3 \1 z7 ~2 Y' q3 W5 G; O
  setup-turtles! D8 J6 Y" g* k  ?$ h) e% K1 k1 q- w
  setup-plots
( o) v( L; o4 V  update-plots
$ j4 J* F: E  C3 w  r- m% j- @& X. Mend; `9 u6 H( K: o8 U
to setup-patches
3 X. P! X& \$ d+ F6 Q) l5 ^  ask patches: v* V% ]" b2 \) s/ u5 ~
    [ set max-grain-here 0
& B2 \5 r6 E: b) l7 V      if (random-float 100.0) <= percent-best-land! x/ K( b$ M' h  A' M6 Y; W: w
        [ set max-grain-here max-grain
. Q- r4 Y! W+ p& J% a& T& I5 l7 v" d          set grain-here max-grain-here ] ]/ {2 m$ D  H5 h7 R9 {6 J
  repeat 5' ^- Q9 ]' L5 u- I
    [ ask patches with [max-grain-here != 0]
5 `9 g( a0 }+ c        [ set grain-here max-grain-here ]& a! h% g: u( y7 `5 f
      diffuse grain-here 0.5 ]# a3 _" {* u! w! v
  repeat 10
8 ], g! \3 U6 h$ G- @3 Z8 z6 D    [ diffuse grain-here 0.5]          6 O2 C! q, l8 V6 R' Z
  ask patches
- b% E3 p8 W7 C2 |% s& L    [ set grain-here floor grain-here    1 S) `% x( F" k
      set max-grain-here grain-here      0 L' x" T9 @/ D( P
      recolor-patch ]
0 S/ b3 b/ ?+ J4 n% {end
2 D( B8 k6 T- j- Yto recolor-patch  ) S  ]( h& n) [* v% K. H8 k
  set pcolor scale-color sky grain-here 0 max-grain) a% l( G2 A0 Q$ p) g1 U: S
end. s/ X: s; I; A/ K( Z7 `
to setup-turtles9 A3 h  j" t( Z( m
  set-default-shape turtles "person"& A6 {7 F. M# Q; F* U3 W3 }0 _
  crt num-people! b6 Z! }/ e+ u4 _0 l1 ~
    [ move-to one-of patches  
8 P' d9 p) G- K- J7 \9 O! `8 ^      set size 1.5  8 L* ?2 r5 T* ]- u" r! k" q
      set-initial-turtle-vars-age
+ l7 u% n& H& P4 t% x# E$ n      set-initial-turtle-vars-wealth
! I$ j5 J0 f9 S& s+ d- u% R      set age random life-expectancy ]
) d- Z! `/ R6 o4 z* f) g+ r) ]  recolor-turtles6 B6 _! Q9 a% c6 f
end
$ Y0 A+ [9 z. @  k! m- |" b( L& [, k9 f7 T8 z5 b5 C
to set-initial-turtle-vars-age- g0 J$ Z! y; x
let max-wealth max [wealth] of turtles
; O) J8 k& q% U7 B" A* T   
5 V, Z6 Y' E  F" V" B     ifelse (wealth <= max-wealth / 3)
( z; D# M0 g0 N4 t$ k2 a        [ set color red
% n5 @; M( P& {) f+ i1 _          set age 0
- V7 Y0 d8 [& r/ A          face one-of neighbors4
9 G- t9 M9 s5 m( ~0 F          set life-expectancy life-expectancy-min +
. I9 G! Q- N" }4 }) u2 m8 v% @/ a                        random life-expectancy-max 3 y6 t7 p7 T4 w8 U, o, S! Y" W+ y
          set metabolism random 1 + metabolism-low
9 N* W& T+ W; W) }' q5 x; b          set wealth metabolism + random 30- v' w) P9 Y! v# B2 p: B) w
          set vision 1 + random max-vision/ o, E6 T0 L7 ^( J" g
             set wealth  wealth +  Wealth-inherited-low ]
, z  O: o" I. P6 G1 q        [ ifelse (wealth <= (max-wealth * 2 / 3))# W  L5 \! C9 c% b! |1 s8 K
            [ set color yellow
$ w  H' h+ i0 a: h% |              set age 0
) m+ z9 n$ E- t& F; q4 L              face one-of neighbors4
& [+ Y  g7 O4 L0 z              set life-expectancy life-expectancy-min +  }9 {: ^4 M* t& i' C1 r/ s
                        random life-expectancy-max + 1" F6 l: \' f- T
              set metabolism  1 + random metabolism-mid4 T; V6 O8 W. z+ @: C
              set wealth metabolism + random 30" s* I$ j. R  k( I( D
              set vision 3 + random max-vision) S" b1 ~0 I" u5 F- o5 D5 d
                set wealth  wealth + Wealth-inherited-mid]- O! _; D' ~, l# r# m- H
            [ set color green 5 j1 @6 J0 \3 o% U
              set age 0( L( H3 Q4 @, B* x. j! F- `
              face one-of neighbors4
6 X& q+ r% R' x' z              set life-expectancy life-expectancy-min +4 y+ ^* M. j1 u( z3 O
                        random life-expectancy-max  + 2
$ t$ g1 B  H7 [" m+ S, v3 A              set metabolism 2 + random metabolism-up
$ a& h' N1 g& e+ X              set wealth metabolism + random 305 D. a% V8 w+ D' t  V
              set vision 3 + random max-vision" u8 G. p; |7 w5 \, e* l9 }1 f
              set wealth  wealth + Wealth-inherited-up ] ]
7 p# ?2 D' J6 C) G: s 6 R6 W+ ?7 ]+ ?
end+ d  c' Z8 S: I5 c: E3 P9 O& T+ u
to set-initial-turtle-vars-wealth; E% L8 ]: A/ a, q0 u  z1 Z* G7 c
let max-wealth max [wealth] of turtles+ S8 s: ~4 D( Q* V  }
          set age 0
3 R/ U5 a- U1 r          face one-of neighbors4 # \# `/ J3 W* P$ `5 s. `! Q
          set life-expectancy life-expectancy-min +/ s* e7 C# u9 ~  n4 p) g3 }* v
                        random life-expectancy-max
6 G! |  X$ _  R1 z9 y3 ?          set metabolism 1 + random metabolism-up9 V+ X! n8 X4 F5 }
          set wealth metabolism + random 30
5 ?1 X, F5 `* t+ {5 H          set vision 1 + random max-vision
% C8 J/ H2 x5 x* b5 T7 ~( send
1 [/ `6 o5 ^3 }/ x: f4 Cto redistribution  c9 u& U, {$ A, B" K
let max-wealth max [wealth] of turtles. K6 p+ v4 S2 f
let min-wealth min [wealth] of turtles
! y, V: ^9 H, x  Sif (wealth <= max-wealth / 3)
% t7 X  F1 I1 e; B& E [set wealth  wealth + Low-income-protection ]
& y& p$ E0 x# v- \0 H8 bend7 D6 J* `3 V: T$ A2 Z
         
8 `( |  _2 J$ Q, cto recolor-turtles* t( S  X$ V& B/ t
  let max-wealth max [wealth] of turtles
* `1 R- u) j0 _% ]. i/ o  ask turtles
7 }/ b* w0 X# K' Z   [ ifelse (wealth <= max-wealth / 3)
2 N8 j* `) [) d: k2 t        [ set color red ]
' w: ?: ^; v2 I  I& ?0 H5 M        [ ifelse (wealth <= (max-wealth * 2 / 3))9 A2 i  k/ r7 h1 C8 |
            [ set color yellow ]! c' `/ g6 J% B
            [ set color green ] ] ]" K& t+ J/ t, S) i' V
ask turtles [ifelse show-wealth?
! k: _+ v! B/ ^: k    [ set label wealth ]
  `& F$ p6 z0 k! M& }+ p2 u    [ set label "" ]]
# R1 g: q& b/ w- pend' I5 n% k9 n' |. S0 B- \% n' c( `
6 r4 K& @$ i6 @) z6 Z0 m/ Y: C
to go
; ~- g7 H+ Y. t4 A4 G7 T  ask turtles* O! N2 P) o2 D
    [ turn-towards-grain ]  
2 Y. a7 Y; h% B  j9 G# w$ _  harvest: s5 S" t; n5 y: q# T  d# m0 R
  ask turtles2 ^- U9 A5 W' ?+ e3 x6 I+ I# M$ `
    [ move-eat-age-die ]- ?1 G  f& y& T: A7 o
  recolor-turtles
6 I( p( I* |6 ~! Y  if ticks mod grain-growth-interval = 0. @2 L: y/ j# B& h, t
    [ ask patches [ grow-grain ] ]
2 W8 ~% {3 b! F, N   
5 r4 o# F* {  n' _0 c. c  if ticks mod 11 = 0
1 S* `" y  m' ^8 Q  A8 B3 l  [ask turtles- h# @" d" O7 D
  [ redistribution ]]0 b) m9 `/ J8 U6 A4 T* Z, n
  if ticks mod 5 = 0  x5 r" u0 E5 h
   [ask turtles! |+ E6 q: T5 q
  [ visions ]]% ^0 Y9 \4 v# L) Q9 g  Q' e
  tick
$ Z# j. k: Z" c! S) d  O0 J- O  update-plots; t/ w) k9 }, j: s( h) I* c
end
: \6 M9 H2 S5 I7 f$ o/ j# tto visions4 G6 M: `6 }6 D1 B9 ~% t
set vision vision + 1
9 E0 t3 ]% X3 _3 T4 O+ b( n9 z1 Yend9 ]/ H& I# n1 X" Z3 _: b

$ H) i/ f& S# c1 ]; u# _$ P0 w& q. q& q2 Y# a: y
+ Q: r4 [7 G0 w# H" W8 [! i/ o
to turn-towards-grain  + {! v7 A; N: d; p5 c6 Y% ^! x+ a  x
  set heading 08 O2 q0 r! z6 m9 U7 U: y+ J
  let best-direction 0
8 y8 H8 W1 r# H- a  let best-amount grain-ahead
- I& e* v: y0 K  J2 O% p" S  set heading 903 V. u& l* S8 ?! h8 o
  if (grain-ahead > best-amount)
9 @, V- Q+ U/ u3 b3 j" q    [ set best-direction 90
; L) Y" Q% N( ?# j! L      set best-amount grain-ahead ]
" L& H  p6 b1 s" |. z  set heading 180
  a7 u6 l8 Q, |9 r  if (grain-ahead > best-amount)$ B- N2 y* L6 z
    [ set best-direction 180
; N- U% b( u3 b8 S8 S/ I. I      set best-amount grain-ahead ]
2 h$ `" z& C7 [$ x0 m  set heading 270
/ {3 F5 `* G* s; K& p4 y  if (grain-ahead > best-amount); \* u# R( q0 J  o6 L) c
    [ set best-direction 270
2 x  z2 T5 ?5 x& C9 L      set best-amount grain-ahead ]: ^( s- }$ S/ w/ A
  set heading best-direction$ @) F+ x4 b8 b; v
end4 g4 Y1 R  r! J9 q

7 W/ r- Q. x" D9 g4 m& M
  D1 O( p% ]* c( z' |( u  Rto-report grain-ahead  : o! u; O, S/ W5 x* H7 W  }
  let total 0& i) h0 u( A+ ?% b' S4 {
  let how-far 1' v4 a( x! ]3 l: I
  repeat vision! L" K$ z0 w8 c. o& d0 l  p5 o
    [ set total total + [grain-here] of patch-ahead how-far- F& u4 n( y/ W/ R' }& \
      set how-far how-far + 1 ]/ e5 t0 W- a! _" h& G2 _1 U4 q1 q
  report total# w( U* b, Y3 C6 ?  k. X" s3 M
end
2 F6 ^* _- D% M. G# U; [2 J/ r, [# R) K
4 S1 Z/ [* S/ z# ~) B" nto grow-grain
; [* d" I4 b) k6 y/ v  if (grain-here < max-grain-here)
6 Y5 s; r; K7 h* O# z    [ set grain-here grain-here + num-grain-grown
' E5 D# ~! p* U; T      if (grain-here > max-grain-here) 8 A$ e- C2 l0 M& \7 S# @
        [ set grain-here max-grain-here ]
* A; b: S0 h9 J4 s2 i      recolor-patch ]
- E. T! |, v9 A, ^+ iend0 P* y/ s- S, S: i
to harvest5 f' ]. z. l9 k0 P: U1 f& b6 }
  ask turtles
; k* W* o. s7 q+ X5 {) T    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
" v! J7 U. m2 q  ask turtles
& W' y# t4 k/ a; |    [ set grain-here 03 [. V) r! [+ B8 a; ^6 D2 c, u
      recolor-patch ]  V8 W: ?; V3 o) R0 ~# E6 _
  / O& P5 j6 }' l+ _1 \
end. h/ U3 C+ C0 M5 g
$ X# j& H8 M$ D* B
to move-eat-age-die  
+ D0 u! z" B3 d  fd 1! B; n# I3 T7 M" F1 {
  set wealth (wealth - metabolism)% E8 C4 r" V- l
    set age (age + 1)/ ], Y) s, `9 l4 S+ C+ n
  if (age >= life-expectancy)- {, m/ y" S6 i7 L) V3 `
    [ set-initial-turtle-vars-age ]2 d  \- r& z) E9 x, l- j
  if (wealth < 0)0 }% P9 S5 n3 s; w* S# a" \
    [ set-initial-turtle-vars-wealth ]
% W( C( F4 v5 b; ?' F1 R- \   
2 E1 a- W$ ^- q# `4 s, fend# N8 K! U) O# T9 i% U3 s3 Z
+ {# S2 t& m" O) A& E
8 I! |, }6 m; l* ?# R: [
to setup-plots
: s6 k4 T1 [6 X  set-current-plot "Class Plot"
6 V' i# |/ M1 F0 o- y  set-plot-y-range 0 num-people
8 y/ ]6 }" C9 q& X3 c( |* S  set-current-plot "Class Histogram"
1 N1 F9 b- O! a% w6 b' ^9 z, K3 G2 M  set-plot-y-range 0 num-people) m+ c0 y4 n% k4 ?- Q
end* J' i( y6 D, y7 {1 ^+ `
, ?7 z: O5 G6 M7 W
to update-plots; U" F+ n" w  `8 w7 k3 Z0 b3 L
  update-class-plot
# _4 j( Q( O: I" U. L1 r% V  update-class-histogram
  F4 T  w) Y6 W" ~' M  update-lorenz-and-gini-plots) v2 y* o2 J8 G! s0 o5 d2 h
end
: u% {' n# D6 [6 q& _! w; c; _6 z0 X( D/ l! e  a0 n
to update-class-plot% n$ S6 O. W3 I4 r+ j6 w" ?" p
  set-current-plot "Class Plot"5 x% v; B% B4 n2 k4 S
  set-current-plot-pen "low"" g3 L# k& k3 P* p0 e  f
  plot count turtles with [color = red]
) e4 b/ X0 w% s! T6 z  set-current-plot-pen "mid"
6 }; `# e+ J; q1 X- {" u/ x  plot count turtles with [color = yellow]
) n. J, Y; B# m9 I! p) w  set-current-plot-pen "up"
; \" @( @6 H1 P) }  r2 y& [4 @  E  plot count turtles with [color = green]7 `9 G& R( u! c
end6 O6 e) g, B8 L1 p3 }

- `. L' F2 {% [to update-class-histogram5 I' p) O* j( M( ?5 N
  set-current-plot "Class Histogram"9 G. ]2 B' `  j/ v8 }) V1 S8 z
  plot-pen-reset
  @2 v% t' j- U  set-plot-pen-color red
; `, {+ i; g& f% N5 e: x% ]  plot count turtles with [color = red], i6 B- n8 t; V* a- J  c
  set-plot-pen-color yellow
3 {9 R$ K: s6 K- |& R+ G6 Z' Q  plot count turtles with [color = yellow]( h- b( l9 U0 o# c$ x; x7 \7 Q
  set-plot-pen-color green6 A5 o* D8 n' Y! V3 Y" K
  plot count turtles with [color = green]
& p1 [& A" G% n. qend
: K& D" l& _2 q' x2 o5 v; C( N7 ?to update-lorenz-and-gini-plots
% @: h0 F* o- ^) n6 i  set-current-plot "Lorenz Curve"
; E$ A+ l' o; v/ s: J% q  clear-plot. b8 i9 |! ^* K  {4 O) M& X7 Z

0 ^! D6 @8 P5 ?! A  set-current-plot-pen "equal"
6 ^) {$ e# j5 U- p0 H3 H' g  e  plot 05 U5 F! b9 F" d) u( ^9 g7 E
  plot 100. u% s$ @4 B  ^, g7 j# N
, O0 F2 O: ^0 Z
  set-current-plot-pen "lorenz"6 f9 e+ N: E6 e+ M
  set-plot-pen-interval 100 / num-people! P; S+ K  y7 ]; ~
  plot 0; j* N' b( N$ a3 E9 j1 O7 C/ }
% C: ~. l% R: d
  let sorted-wealths sort [wealth] of turtles0 H. ?% s0 H" ~+ E/ S
  let total-wealth sum sorted-wealths7 R5 B* g$ j: v5 a% Q
  let wealth-sum-so-far 04 p& J$ v9 b1 R+ k2 e
  let index 09 ^) k* v2 j/ F! e; W1 K4 e
  let gini-index-reserve 0) A% o8 ?$ X: H- S! F

) A" ?( E2 e# W) K5 G  repeat num-people [
0 ?1 h2 V+ q9 v7 Y9 {  A    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
; ~2 N: Q8 \3 T4 e( N    plot (wealth-sum-so-far / total-wealth) * 100
; i0 L/ x, I' H7 J    set index (index + 1)
, {9 v, f5 s) A5 V4 K' ~    set gini-index-reserve: Y! D3 [0 n+ N6 ]4 F, U
      gini-index-reserve +
! @, b' M+ J3 Z2 G* g- [      (index / num-people) -3 _6 P7 H# \1 O& m: r$ L' U4 z# Z" e& }
      (wealth-sum-so-far / total-wealth); Z# D+ M( q% X/ n8 L3 |
  ]
3 e" X4 Q! r. I8 f- i
, p1 R' ^0 g* R2 T' A3 [  set-current-plot "Gini-Index v. Time"9 n6 l! g# g9 I, L
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
! r" b, q% f0 Z' j8 send
* j" {2 u6 n/ m/ K; L; c7 m: J! Uto-report area-of-equality-triangle9 {  p. L6 M9 J9 O, B% W
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)! r0 w; a8 O5 d2 Q- ~: S( v
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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