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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" F1 d( Z6 Wglobals9 ?8 _4 A; u9 c: J! F
[
3 B5 m. c; R9 R0 ?! z# w  max-grain   
; P  }( @0 a% `" h- R* \$ N- G6 _6 d
9 Z: e5 {" Y" U3 X5 []
! L0 Q) a! G6 Y) b' g% \0 G6 w% ]6 o; s' _5 {& t$ x
patches-own- _5 Q  a  J3 s
[
; P5 ^/ ]9 w* K( E4 y2 |& {6 t2 y  grain-here      4 n$ B) @7 U) t
  max-grain-here  
9 Z' r" d) ~) ^- g+ h9 k6 p]8 b$ k- c9 V5 x# s# ^' c8 @, K' S

& Y$ W. w0 b8 C0 Xturtles-own
9 P& C8 b- p0 ~% l  V[' U& L8 _, ]  \
  age              ' K5 j* Y! X' @$ c6 u2 g, f6 y; Q9 ^
  wealth         
; I& G' d/ T, x# N9 p  life-expectancy  & v% w# C( {# |& \
  metabolism      
- i4 N- r, `( d  vision$ w% p6 C: H7 k6 k
  inherited         
  E# b8 y2 i- r* b5 y8 C& p]
2 J, F9 K% y3 G/ |4 K3 D- C" k5 [9 I) G2 r' T
) B( Z' |4 E. `3 k" r1 S8 l' h; R
to setup
$ a! @+ J* m, ~4 q1 L2 r  ca3 \6 R2 z4 i$ O# j" [8 w! S# q
  set max-grain 501 t$ e/ ]0 j& V5 m. A% q( M3 M# ]
  setup-patches" Y* B2 x- q0 G8 x( x! I3 @. [
  setup-turtles
% ?5 J( I4 E# R! _- O4 `* ]  setup-plots
+ a+ |1 M3 m: s9 N  update-plots
" Z. B; ?. u, Y+ i, a6 Eend% H8 h( @6 ?# u1 ^
to setup-patches
& a& @3 M1 b* s1 e1 a6 ^5 U  ask patches
% F) |5 J6 v. q% J    [ set max-grain-here 0
- W9 ?7 j0 J* x7 w" M. g  }      if (random-float 100.0) <= percent-best-land2 x) L# I5 C- U' ~6 c
        [ set max-grain-here max-grain
2 y  \% y8 e1 Z: o0 v, {. w* H' K          set grain-here max-grain-here ] ]
. F4 N" S0 ]/ [$ f" A  B. G" D8 ~  repeat 5
3 {' Q5 ]' V" r9 z/ J. h    [ ask patches with [max-grain-here != 0]; x" w4 C+ z, A
        [ set grain-here max-grain-here ]
4 Z( E8 ~$ V1 z3 Y/ Z$ s, x3 T4 U  T      diffuse grain-here 0.5 ]
8 A3 ]3 G. X1 H- V7 c$ y  repeat 10% z! f% Y% ^7 }% S4 y" h
    [ diffuse grain-here 0.5]         
; C6 A  p! n" P+ _6 k0 n  ask patches
! G  ?* {7 {. z( P    [ set grain-here floor grain-here    $ d! \2 `1 V; [7 z
      set max-grain-here grain-here      
% F- v/ t, c1 l6 ?# ^      recolor-patch ]  u" u, {, h- g, q9 M8 f
end
% ^/ S- u" ]* Y8 Q, x0 G' rto recolor-patch  # [9 L  E5 O- N5 _7 F
  set pcolor scale-color sky grain-here 0 max-grain
# V# v! }, F0 u- Zend
3 o& o0 F1 T7 i- N! a, Y( w( oto setup-turtles1 J8 G1 y; `+ i5 V/ J  |
  set-default-shape turtles "person"3 t0 H3 Q+ C/ O. y- ^/ `! M/ [! V
  crt num-people- K2 b4 U6 Y+ v1 w$ g. ?; v
    [ move-to one-of patches  1 ~2 I. N; T$ u6 L
      set size 1.5  6 `0 Y8 s4 R5 e- z2 x2 j! S+ y8 i: `
      set-initial-turtle-vars-age, a& _  [; U+ x
      set-initial-turtle-vars-wealth
4 Q0 r, L9 R' K' G6 U      set age random life-expectancy ]
" i; j7 G$ m, O  recolor-turtles' `7 C% D6 l5 K1 `/ h- O' }1 m; _) `
end
# n- c7 `4 i; O( m* C$ Z
7 O9 T4 j4 t" ?, \4 K4 f- @- n9 ~. i8 Sto set-initial-turtle-vars-age" f, V2 r# i2 @3 G9 O( V7 R: `7 j4 K+ `
let max-wealth max [wealth] of turtles/ @5 V4 y0 P4 u
   
0 X4 H: e+ V' H' u     ifelse (wealth <= max-wealth / 3); y) q( ^' J$ i
        [ set color red
1 P% ^/ A# `& W. j- E          set age 0
9 j; y7 X2 [0 ~1 ~9 L8 O/ z          face one-of neighbors4
- [- ]7 T+ G, A8 P          set life-expectancy life-expectancy-min +$ e$ ~$ k1 _3 H1 ]6 f
                        random life-expectancy-max
& \) O  C6 v# k0 T' Z' K& @          set metabolism random 1 + metabolism-low
: e% U' u) P( S5 {          set wealth metabolism + random 30
) E1 V8 n4 J5 q          set vision 1 + random max-vision. u1 U$ J1 k3 q! }7 s; V1 |; B1 x
             set wealth  wealth +  Wealth-inherited-low ]
/ q( h4 R1 o! b; C5 S4 T        [ ifelse (wealth <= (max-wealth * 2 / 3)): p- a% `3 ~& T
            [ set color yellow # Y6 ^& B$ y6 ~, B2 W
              set age 0
; p3 L4 w' |  b  Y2 V5 O6 M% {# P              face one-of neighbors4   E2 l: t( F3 I4 X3 ?6 \, R+ i: P
              set life-expectancy life-expectancy-min +
1 @" z1 n& o7 m                        random life-expectancy-max + 1
. z( r4 D3 f) p              set metabolism  1 + random metabolism-mid
( h2 [! @( a6 t/ T6 L  |" u" b              set wealth metabolism + random 30
! y8 u/ z6 `: d5 m              set vision 3 + random max-vision3 X( @) g7 w# u5 F# G% M) y
                set wealth  wealth + Wealth-inherited-mid]
3 q5 D8 ?/ |# q; X. g6 X            [ set color green 4 F8 z, E! n& o9 O% A
              set age 05 U% Y9 f. Y, k. s9 V: t" l( U
              face one-of neighbors4
3 P- \( T6 o; d: J* i              set life-expectancy life-expectancy-min +9 {8 ?- i% v) X/ A
                        random life-expectancy-max  + 2( U. b* r: w* K# n1 k
              set metabolism 2 + random metabolism-up
* ]# V. a- N2 O" s              set wealth metabolism + random 30. u$ J7 G( U7 c& U8 |1 _
              set vision 3 + random max-vision$ q" z$ J# d  F7 b* e
              set wealth  wealth + Wealth-inherited-up ] ]
/ l* B4 d. i5 V; T. M$ Z% f, D+ W2 ] ( n1 l: I! i& ~( w! p
end) s* i; x; E+ x
to set-initial-turtle-vars-wealth
9 G7 V3 V, d$ k. R; w- e let max-wealth max [wealth] of turtles
% |1 S9 l) D6 u/ J* p; w4 {* K) G          set age 0: |7 A( _8 F" D% `  ^7 f
          face one-of neighbors4 " e" w+ z# g8 S' u, A
          set life-expectancy life-expectancy-min +
' m5 O) e, ~1 I8 T                        random life-expectancy-max
% |' r- |+ @+ s' x4 `% _, q          set metabolism 1 + random metabolism-up
! k2 @& ^4 d" Z% [, j0 [  {          set wealth metabolism + random 30$ }  |- ]  v8 J- t
          set vision 1 + random max-vision
' N" C; J9 m6 A/ c. u' yend
$ C$ w+ B) g0 O* o5 M) rto redistribution% s2 X5 d# w3 n. d1 j5 O
let max-wealth max [wealth] of turtles6 U  t3 }# Q8 n" U! C
let min-wealth min [wealth] of turtles
0 C) s7 d3 @- J' \0 W2 x! Xif (wealth <= max-wealth / 3)
4 E) q  r1 z+ R( Q' Z [set wealth  wealth + Low-income-protection ]
8 ^* E7 G, N' a4 c7 M1 E+ Oend* F- e2 z8 }, P% v9 l
          2 L$ B; x& t0 ]" ~
to recolor-turtles; w9 N4 K, V$ V! Y: a& W
  let max-wealth max [wealth] of turtles/ D4 T1 V4 n' T
  ask turtles1 H) R. K9 @6 ]% A3 Y3 q: j
   [ ifelse (wealth <= max-wealth / 3)
) [; k& P4 P  v5 Z* @: X5 L+ L. v        [ set color red ]
% ?. n- \, N$ F1 o# K& ~1 y        [ ifelse (wealth <= (max-wealth * 2 / 3))
  v! ?" o6 }5 x% U+ J            [ set color yellow ]
5 r4 a8 H, {/ a/ T7 J' L, _            [ set color green ] ] ]
% X4 j; q0 |* X: q  R9 b" \' N ask turtles [ifelse show-wealth?
' w6 \$ G% C, f/ G/ g, J/ W. A0 [+ o; |    [ set label wealth ]( u; P- ^3 u5 y$ K" L) ^
    [ set label "" ]]" i4 V4 k2 z2 f4 E
end
, B. ~3 T/ E4 v  I: K, q/ d* u2 \5 o- k7 t/ l" e
to go
8 d& h1 q2 p1 y+ }4 J7 d  ask turtles( {4 {- }. _+ [: K+ @$ M) F
    [ turn-towards-grain ]  % {( E; G( z) Z5 |3 Y  n& V
  harvest
  E! V1 u! B% O( E* H5 n0 n  ask turtles
) Y! M; B  J+ j    [ move-eat-age-die ]: e: q& ]0 c+ g& m8 D+ S& w' O2 p
  recolor-turtles
2 W* x* J8 o) y! k8 }9 _$ {  if ticks mod grain-growth-interval = 0
' t( a2 w  b: b    [ ask patches [ grow-grain ] ]
7 f; I! z# m  ~: Z# A* b   
8 ~3 I3 _/ [4 @' n  ~) Y  if ticks mod 11 = 0
& B; {( r7 Z" m$ N: y  J0 b2 y  [ask turtles
6 w/ K& P- x4 x, u! y# d8 b4 i  [ redistribution ]]
  M3 I, c. p2 W( G6 T  if ticks mod 5 = 0
7 y% `* u: E( {3 Y   [ask turtles
# {1 \2 Z0 M; F" |7 J  [ visions ]]
! d. Z% K$ J4 V$ ^9 m# I6 X+ h  tick
2 U* B$ Z9 C- x, V5 {  update-plots1 {# r7 }/ U4 A1 g; q# w. _0 s
end/ s( P* z/ y! A& q" i
to visions6 p( v+ n5 r& h5 h- I/ Q& r
set vision vision + 1
4 n0 }8 ?* z  o3 Fend
( |2 M: l9 c0 t4 V: F$ J, b1 n7 f! i9 J. J; h3 I
* o$ D. U$ t6 T7 `

2 t5 q, t- H$ |* ]" W, @0 ~  {to turn-towards-grain  
  e' P6 m6 Q& [! f  set heading 0
% n9 I" C$ A  T  let best-direction 0; O" y' e0 `; h" P
  let best-amount grain-ahead. `" M4 t% B2 k
  set heading 909 {: D) I+ Z$ v: ^
  if (grain-ahead > best-amount)
, A4 N! y. `, l. b- a    [ set best-direction 90; i. D" @5 g0 R& D
      set best-amount grain-ahead ]. k* A, F+ p; k2 x% b6 H) k
  set heading 1809 C) w- u4 J: K% [* H4 \3 \  [# }" C) G
  if (grain-ahead > best-amount)
3 E" N3 E- V4 Z1 @9 O3 p' s    [ set best-direction 180
) u+ j7 v- A# O- N1 S      set best-amount grain-ahead ]
/ T3 n3 Q$ S1 f: i* E' y  set heading 270& H! p% Q* @) H8 v% q! B
  if (grain-ahead > best-amount)! G! z6 D! T  o6 v6 c' Q4 t/ T" P  r( ~
    [ set best-direction 270
. w* U1 ?1 v5 U  A  O& J& a; \9 C; X      set best-amount grain-ahead ]
0 w0 |( q4 ^5 j9 A, o* c) F  set heading best-direction+ S' F6 l, i# N! [7 e, Z
end
  F. u/ o! f% x( A( `7 K
1 @# [1 g1 e; I; J' b7 P% m. {. n" ^4 P6 T
to-report grain-ahead  
* j6 N3 A' Z# u' g( m. X  let total 08 C  u5 Q# U6 R2 c4 F; p, S6 F
  let how-far 1! v7 S- J2 k: Z0 j) j' R
  repeat vision6 e* m& i7 y: B- n( P5 i5 x4 t) v
    [ set total total + [grain-here] of patch-ahead how-far7 n. _/ K% [7 }7 V, }
      set how-far how-far + 1 ]+ R0 ?# H# T- ?# k! r8 K/ R$ ]
  report total
3 q$ R- Y( S/ `8 ~4 o9 B3 u+ X2 jend6 f2 e% }7 J  D0 s2 @' U4 P! H
2 v9 ], m4 D7 G: s- h# ?; H
to grow-grain
1 [7 J$ z" ~1 `, B) O  if (grain-here < max-grain-here)
, K3 I& R7 Y" ^! a    [ set grain-here grain-here + num-grain-grown; y1 ^' p' A) S6 T5 M
      if (grain-here > max-grain-here) 0 E: |& p) _1 y( F# b! ~
        [ set grain-here max-grain-here ]
( y  z* q- X" m8 C4 N      recolor-patch ]7 J% }6 {* ]8 E3 _( t9 G  ]% D9 K
end' ?$ r0 Q: f: ]
to harvest
) C& b. C* @& f  ask turtles
  J$ H3 Q& V$ T+ j3 ^    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]. B9 p/ {+ }' u9 h/ ^
  ask turtles0 _* t: f- a8 Q6 k. y% A
    [ set grain-here 0/ r3 j7 g1 ?8 f& a6 b: ]9 x' P
      recolor-patch ]
8 D7 R( V- l# ]& d* N$ w8 r8 ~  ) k6 q9 y1 A, a: u9 L8 t) f
end5 q( s, u) F  M6 `2 W, D* O( Q

# I+ G, Q4 e) A" ito move-eat-age-die  
  S$ X5 }0 S8 q3 `) J! u( Y  fd 1* Z8 I2 C* u$ q
  set wealth (wealth - metabolism)
+ u* T6 K0 z2 @" D8 p: w* |# ^; X    set age (age + 1)
3 H4 x- S6 c, H/ ]  if (age >= life-expectancy)4 q0 A$ \6 w: y* `, B0 F0 O3 J. b
    [ set-initial-turtle-vars-age ]# C9 }# h! ^, N( L
  if (wealth < 0), h9 G5 r9 _3 j" S& x- R, u
    [ set-initial-turtle-vars-wealth ]
2 p& S. q: F5 v$ B   
7 {1 J( t3 f7 c7 Nend
4 A8 w$ V$ P- }# ~$ O" Q6 Q# J8 Z1 c) J5 T
6 q5 Q$ h" X( G7 U
to setup-plots" p! s! U9 Y7 c# }  R+ K
  set-current-plot "Class Plot"0 S3 c! E  Q4 c  g
  set-plot-y-range 0 num-people9 N0 D: Q) r9 ^% \. t
  set-current-plot "Class Histogram"4 K* y( t1 X5 K' x( e2 d  @) t
  set-plot-y-range 0 num-people
# g( F# \4 ^# y" H8 Z+ r1 y9 ?end2 R5 A8 ~- t' r$ X  H
* @; e' a5 s2 h+ g0 }# k3 i9 @+ M
to update-plots6 C2 J- s& t" |3 K
  update-class-plot1 S; ]5 X' E! @/ C7 H8 M) V+ y# _
  update-class-histogram1 c0 }5 I' i2 M8 o; e3 x
  update-lorenz-and-gini-plots& u* ]% O  C* [) Y3 r( N) v3 S
end
% s( \$ r: J( q' [, k
. Y: s" s1 ~: a+ Hto update-class-plot
% x" w8 X2 Y1 [4 s, z6 p  set-current-plot "Class Plot". Q! x: B, f9 ~& p$ I
  set-current-plot-pen "low"
4 v" x9 D9 j- J; C8 m' s  plot count turtles with [color = red]. J  A! a5 s, G/ ?
  set-current-plot-pen "mid"
0 y' `; d1 [  C  plot count turtles with [color = yellow]7 ^) S$ n$ V% ~$ A
  set-current-plot-pen "up"2 @- {5 D* M/ m: |
  plot count turtles with [color = green]
8 g* N- ?  X+ @8 s% t3 X' eend
9 o1 S( S) B- y9 s5 U& H% F1 e2 g& z' [) }
to update-class-histogram
+ M8 b; W2 ]% v( O, O  set-current-plot "Class Histogram"
6 T' `5 O: ^- N; l  plot-pen-reset
/ S/ M, H4 W- L' Y0 J5 O  set-plot-pen-color red
" k0 r" `7 s, R  plot count turtles with [color = red]
% t5 u* ]" K+ Y4 Q. W  set-plot-pen-color yellow
% _. _! y6 Z8 P  plot count turtles with [color = yellow]
: |! v: o9 O& M' I  set-plot-pen-color green
1 q. [- Z, l/ A0 ?  B  plot count turtles with [color = green]+ L* M3 s# B: w7 c( ?
end
- K5 H4 G; n" J$ {! ato update-lorenz-and-gini-plots
# e- L, m! T& D# R/ m4 i9 g  set-current-plot "Lorenz Curve"/ m. ^4 O8 B6 q
  clear-plot7 K( m; i6 x9 Q  S5 v1 I7 W. d  d
! Y9 D3 ]  I0 o" `& k2 k
  set-current-plot-pen "equal"
; j+ ?8 o& s; x- x% t1 Y- K+ k  plot 0
( E5 K( [. w: ~3 y/ T' U6 ~; U- I$ d  plot 100+ s$ c3 o* T6 C/ ]4 d" M
$ k; V6 D) l8 D7 C" P
  set-current-plot-pen "lorenz"
- K" p1 y; _8 n  set-plot-pen-interval 100 / num-people$ j9 P; f/ O1 f! a) S
  plot 0: `; N$ N& ^( U3 K
$ t/ R: ^1 z3 W% }( U4 }
  let sorted-wealths sort [wealth] of turtles
& g: t( V6 S, B1 v) {$ ?; H5 h$ i4 u+ {  let total-wealth sum sorted-wealths3 D$ e: y* Q- ?  |
  let wealth-sum-so-far 08 U9 ]) I' i: f
  let index 03 w, G/ W. K/ T8 D4 Q$ W
  let gini-index-reserve 0. z) C, S" X- X
/ \/ F. E" g' f8 ?  _0 H/ @* n7 a
  repeat num-people [
  a  M5 ]9 N! h4 a    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths); w5 a& h$ v: D# |
    plot (wealth-sum-so-far / total-wealth) * 100& L4 k, j4 L7 I) k* ?1 a
    set index (index + 1)
0 G$ Z/ y* H! T; ~1 f/ q& G    set gini-index-reserve7 \. R/ E0 q7 E: L$ p
      gini-index-reserve +
& r9 M9 E- ~- J; l1 P% V) y      (index / num-people) -
8 s: @1 A8 U' u* p) v6 A      (wealth-sum-so-far / total-wealth)
" q4 r! u. Z" y# o8 |6 B  ]1 N4 `8 `2 h3 q7 E' N9 z5 O/ Q0 e  ~

8 J; b' J# Z- e  set-current-plot "Gini-Index v. Time"8 W% [7 ]- e9 z" P. n% ?) b, G
  plot (gini-index-reserve / num-people) / area-of-equality-triangle! W! X/ D" x  w0 y  z/ o
end$ J8 j/ E, y8 L' X7 \
to-report area-of-equality-triangle) Q6 ]+ H1 d6 r# \! T) V9 g
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)% x- D+ D5 `! y9 T
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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