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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 |2 Q" C9 h: V% p9 o( r' {4 G
globals; D  [2 {  C9 l! w/ q! e& }! q/ x
[+ J# D2 o4 ]2 U6 V- m9 W# s) x
  max-grain   
4 d) I; E9 x, V5 X/ q0 N) r* d5 Q- r3 M/ U. B+ k& I- V
]
( f9 E8 Y8 b- g: w
( r/ G9 o  U, J7 Q- i+ _( h1 epatches-own) q8 R5 S; p3 p% W
[, o' E% d) Q- i; d
  grain-here      
- R: z/ E+ F" @! b/ U% S: X! @1 }  max-grain-here  ; z/ e6 p, }* j( q( w; d3 i/ W& T
]9 X. `) j# t- S

% F. F3 X4 F  K2 d7 qturtles-own
% d) y, g* ], |9 Y[
% X6 v7 u; m) @6 y* H  age              ; l! w& s: T! ~2 |2 ]) P+ O& F0 I1 B5 F1 U
  wealth         
4 R2 P0 G/ [% m  life-expectancy  
7 R3 [+ C* j0 e- t, U2 |  metabolism       : n2 Z& z9 ~2 ?, }& B  k- E
  vision1 c2 E3 x2 f& A% ^( w: L
  inherited         
. |, X+ @  C: A" v0 I9 V# n  [+ ~! h]" g$ b' d% z, |; O" c

( D6 C, _7 L0 |3 M3 d
# U# h+ Z' H8 F8 }1 hto setup5 ~6 }% f0 e7 H" o& _% Z* x
  ca5 i2 ?; m/ F' k1 L9 q
  set max-grain 506 C( K% [% B( o" w+ J/ J" m
  setup-patches' w5 B3 r9 T% }7 g( J4 Q
  setup-turtles
  R9 a1 W6 t) z1 Q+ ?8 h  setup-plots
5 ^: I" x3 V2 G) o5 |2 C* @  update-plots7 @' a  w; T6 {
end( i* q" R* f8 A& q' c  J! f
to setup-patches
8 [0 j5 k/ K: r$ W7 [5 j( \5 l8 F  ask patches" v  |3 f* D" j0 j/ I8 i
    [ set max-grain-here 00 ]# s  q3 I: X* {; l- }8 m
      if (random-float 100.0) <= percent-best-land
0 ~  q9 r+ B7 ^" y6 L' l8 }" X8 a* P' I/ ^        [ set max-grain-here max-grain$ r' b& W, z6 w2 D, K! A. ^, S
          set grain-here max-grain-here ] ]
5 o* q6 O2 P- B% d. n$ K% h  repeat 5
; ~/ R# k! G7 M5 Q    [ ask patches with [max-grain-here != 0]6 K' T0 Y% @( c" J: n
        [ set grain-here max-grain-here ]+ _; J' r: \. v, W% l* n# Q" S
      diffuse grain-here 0.5 ]7 s' B8 A+ s% \
  repeat 10
' |# x$ n' o/ j# Y: ]  X    [ diffuse grain-here 0.5]         
5 @; ^$ w9 Y# ~5 U3 C: I  ask patches5 Z9 R: {4 |3 s) b) P2 S+ ~  _
    [ set grain-here floor grain-here   
8 g* s  [+ ]! o9 V      set max-grain-here grain-here      
7 F. |/ A9 U/ C6 `9 n      recolor-patch ]
$ |$ p+ @4 ^% u# X% u2 ]/ fend$ Q( ~. O- v# i) K
to recolor-patch  
2 B- B: G4 O$ a% f2 K  set pcolor scale-color sky grain-here 0 max-grain6 L1 w: O+ M* v! O
end
  w) w  J8 x7 y- C& W$ Y5 q; |+ Tto setup-turtles/ ^# v7 T& a  R
  set-default-shape turtles "person"
. f; D& B+ o* U1 ~; ?8 ]  crt num-people
# L9 @$ r, _& \9 {: d4 |' v    [ move-to one-of patches  
' V9 h2 O& ], c8 R( _" p      set size 1.5  5 ~/ y3 ]+ w- }: z" ]+ m
      set-initial-turtle-vars-age
8 J, K) c' ~' g. s1 l- R# D      set-initial-turtle-vars-wealth3 f1 }/ y1 q. ?- O' I: x
      set age random life-expectancy ]
& @# R# Y4 L3 d/ n, }: y  \) ?  recolor-turtles
- g1 A' o: \; f- Y- Pend1 P2 i; U( w0 D8 M/ T8 c* n+ {) t& K
& Q2 ~- |% I* S; N9 P  H; @
to set-initial-turtle-vars-age, s+ H2 N+ \8 R0 |. e, q
let max-wealth max [wealth] of turtles1 p- B5 ~9 r6 C0 ^/ D. }0 N+ a
   
6 O9 T, f. B+ a, }" Q0 c( [     ifelse (wealth <= max-wealth / 3)
8 o" L- n* B) ~1 i$ m) O* f7 E        [ set color red
9 Q. w2 E) |' A# o* `4 {" c0 z# r          set age 0
  {* D; a: R# z* u" C          face one-of neighbors4 7 A2 ]: f7 i" V% _) `/ L
          set life-expectancy life-expectancy-min +$ ]# d) _" t' t8 t
                        random life-expectancy-max
  v' P/ z1 ]% f; [( F          set metabolism random 1 + metabolism-low
% M0 ]9 K2 z8 D          set wealth metabolism + random 30
. h/ z$ H5 T2 b% o          set vision 1 + random max-vision
3 Q# M/ o' _, R5 H. K. @             set wealth  wealth +  Wealth-inherited-low ]# W. w  _9 I: z0 a8 y
        [ ifelse (wealth <= (max-wealth * 2 / 3))
" X3 P9 h& f' b" U9 g            [ set color yellow
( n1 e, [# [5 X, L, n/ h              set age 0
- N2 N# X3 E" F4 K9 A! Z8 w9 c; J              face one-of neighbors4 ' q. P8 K7 H6 e2 u; L2 @
              set life-expectancy life-expectancy-min +9 w5 e1 X  s: a$ \% V( ^% P6 p
                        random life-expectancy-max + 1
0 }: p4 L4 t) l) P% I* R0 U: Y              set metabolism  1 + random metabolism-mid
0 Q3 }3 k+ z  R) s6 I3 \# K              set wealth metabolism + random 30
0 I4 _3 H5 k8 W. B& T              set vision 3 + random max-vision% E8 w/ P( {' T6 b" x
                set wealth  wealth + Wealth-inherited-mid]
, a8 ]; C) A; j. ]2 Y9 ~' ]( M0 j            [ set color green 0 G. G: R. N+ Q8 g  O0 p$ }9 s
              set age 0
9 H1 g0 T4 u2 @6 d( x              face one-of neighbors4
& X; K1 z: W- X              set life-expectancy life-expectancy-min +
0 w# P. O; b' F4 \# D% ]( b8 S                        random life-expectancy-max  + 22 `! w/ R' P% }5 i! [7 P5 T
              set metabolism 2 + random metabolism-up
+ j% N6 u3 }( r; q$ n              set wealth metabolism + random 30& c9 A1 n0 p& R3 C9 i, e
              set vision 3 + random max-vision
- {4 y- _, F) [4 y: l: W6 T9 t              set wealth  wealth + Wealth-inherited-up ] ]
1 @0 _0 q, [- J/ p
+ X  u3 m- I! n8 J& Vend
, E2 c4 V9 Z: Q% A5 ^  t& F5 Lto set-initial-turtle-vars-wealth
7 \. p' i' b" x2 X let max-wealth max [wealth] of turtles
3 z" C1 K) a5 x/ \          set age 04 [' q9 m+ K. m- y7 ^, C, ]
          face one-of neighbors4
+ ~* @8 V2 h- l4 w( K& }, ~          set life-expectancy life-expectancy-min +0 P0 L2 `( j5 V0 `' o6 D. _0 x" r- o
                        random life-expectancy-max " G0 g6 w3 T/ M2 o8 z% B
          set metabolism 1 + random metabolism-up( R6 W  `! i5 M2 e5 Y9 L2 z  F
          set wealth metabolism + random 30/ Y$ {1 B) Z0 Q. l, I7 `) m
          set vision 1 + random max-vision
, x9 H8 i6 ?6 |& H& |end
  _, _5 D* a+ a! p( J& T+ u* uto redistribution# T' Q8 ~) o  J4 m5 |( q; D) R
let max-wealth max [wealth] of turtles
: y. Z5 O; B' k- k( n) F- X+ i9 xlet min-wealth min [wealth] of turtles1 O: a4 J% \! s0 M
if (wealth <= max-wealth / 3): K: r' l" A5 U8 `+ m. ]7 e
[set wealth  wealth + Low-income-protection ]
* p1 Q+ @+ S% A: U6 K. p9 eend/ w3 `, T1 s5 H) H% z: [" K& {2 {
         
/ l; J# y* J" ~( n9 c- Nto recolor-turtles. Z0 r% Y. p! b5 O9 q% [6 |
  let max-wealth max [wealth] of turtles+ [# I7 q, }7 D1 I4 ~+ W" F$ M$ h
  ask turtles
  b$ F% @+ P8 P; D   [ ifelse (wealth <= max-wealth / 3)' b" p. v* j; A
        [ set color red ]
/ H1 |  d0 l) w1 P) _9 m# q* J        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 ?' X9 c8 G% X, ?            [ set color yellow ]7 |8 M$ `& K# a# m; V
            [ set color green ] ] ]
! ^6 o% x) t6 u- v ask turtles [ifelse show-wealth?# z! `: U) L! U( \2 m3 y4 ]+ m
    [ set label wealth ]
- u. C) o; B4 ]$ Q    [ set label "" ]]" e, @' D# L  A% ]( x2 U
end" T" e' ?: w9 s6 V
8 k5 C" X5 R) H/ Z2 `2 f
to go
: q2 _' |: ?. \  ask turtles
) W2 Q3 b" }- u, f6 D7 `    [ turn-towards-grain ]  8 ]6 w9 D9 m9 a& x6 y
  harvest
; I/ J( ^' I) C$ j! C: N1 s) W  ask turtles
: F3 f) W; @% u" D4 O    [ move-eat-age-die ]
- [! n. j$ }4 n  recolor-turtles8 O6 M: n+ E3 g) x6 l5 a% W
  if ticks mod grain-growth-interval = 0# P8 p0 b1 Y! O& e: {9 _  g8 c/ c
    [ ask patches [ grow-grain ] ]8 X, U8 B( S7 U# B4 X' Y
   
2 S8 c/ S6 o. v+ [; A3 T  if ticks mod 11 = 0# Y9 F" O' S# `) E" u
  [ask turtles
) a0 ~1 o0 Z0 ?/ F& s1 v. w0 H8 R  [ redistribution ]]6 i2 E; o6 ^5 {% r% b' c$ `1 e
  if ticks mod 5 = 0
; f/ H0 Z) ^: M! Y   [ask turtles$ H) q" k) e5 ^. q5 K; f0 V
  [ visions ]]
# x5 d4 d* C* ]  tick
  k  ?$ j" t* H2 p0 U3 G  update-plots+ d( m$ ~5 e' Y! C8 z5 J
end
. R5 k- Y& Z8 Bto visions
- |/ a& j! c9 Y$ o0 m set vision vision + 1 & A* E. ?* x7 v- @
end
& Z1 Z3 q# ?, t" m4 g" v! _9 z% P
# {, _0 r; \2 E. I9 M5 S, b0 D  d3 z" s; G" O  ?
  Z; A1 p% t6 p1 h/ ]% n" R* w  r4 \
to turn-towards-grain  
& g5 b7 h& o) _+ F  set heading 0
9 ]* }: g2 |4 Q1 m5 ~3 _2 l; o- ]1 o& q  let best-direction 0
$ x8 J+ K2 w- i' w/ w( Q  let best-amount grain-ahead
- Y& f; a0 |# K- ^- g+ p. y  set heading 90
3 j% Y: P3 Z) |# d  if (grain-ahead > best-amount)
' o& t6 D9 \6 I    [ set best-direction 909 ]  Z9 @+ e1 d4 ?" Q# N. f
      set best-amount grain-ahead ]- j, S4 T% F; N8 X, d% u2 J6 f
  set heading 1805 Q& m" p  V3 w, i6 v6 h& M. ^1 \
  if (grain-ahead > best-amount)
, q2 f- c) K$ X; D# {    [ set best-direction 180! Q6 A& T7 Q) F; }  z" A
      set best-amount grain-ahead ]! ^9 p* H6 P8 U2 o/ o
  set heading 2703 f$ u- y: G& k+ K# n' }3 \
  if (grain-ahead > best-amount)
0 H, U7 P# H9 ^, x  v    [ set best-direction 270- f* C* r% g% `8 D# f; w' y
      set best-amount grain-ahead ]0 t1 ~$ d* E  v8 w7 J; ?
  set heading best-direction3 @4 O! \$ z/ Z- ]) p6 N6 c4 R4 Q
end; V+ u! i- b+ H7 g
' c! Y9 T/ j& ]; J7 m) \5 ^
; N5 {  a0 `% g" H
to-report grain-ahead  7 A8 g2 H# ]" P7 |, `* a
  let total 0
! v' u/ {# ^! Y8 `: [9 X7 g  let how-far 1! p/ z( r& {( \9 z' j2 K# a  t& g
  repeat vision8 O5 O  d9 A! g/ R7 Q/ W
    [ set total total + [grain-here] of patch-ahead how-far; U1 q9 [6 ?' a8 Y# E1 e5 @
      set how-far how-far + 1 ]# _% G1 Q$ a# N- |
  report total: I+ t$ s9 |6 p; i) \" W
end2 I* j, z& [  ?

: ?( `  p# S$ y- M6 N7 yto grow-grain 4 W. E. Q4 \4 a. }8 h  p7 b: s
  if (grain-here < max-grain-here)
1 f7 G. ?) h& J    [ set grain-here grain-here + num-grain-grown( b/ i% ]6 h) U  F$ L
      if (grain-here > max-grain-here)
6 o' x$ }' g  j$ z1 [1 f7 Q        [ set grain-here max-grain-here ]% Y3 F2 N# n& l- E' {9 Q- u
      recolor-patch ]
+ O/ b0 J6 o) x  s" i- yend0 E' w7 u* a& j0 b4 f& u
to harvest
0 p! I) k: ~% H2 W$ Q  ask turtles
4 W" w- t- h, X3 C5 W    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: E5 k( E" f6 V+ [0 @0 `
  ask turtles
' t' u$ h9 p3 p$ p/ w    [ set grain-here 0
8 k! a! p9 ?1 l+ w+ l% V      recolor-patch ]6 g3 y: i/ B) Q6 G8 Q% p/ E
  ( ?, k! X2 R. t/ A9 y4 H
end$ S/ C1 z- a8 j! z" O( ~% Q
  i4 b# H' E$ p$ A2 s7 X
to move-eat-age-die  * [4 q" y( ~& o# q6 D6 D/ ]
  fd 1
5 A+ x  j" F. G5 J* `0 C  set wealth (wealth - metabolism)  ~' O3 P  M* ], J
    set age (age + 1)7 g2 p& X. W% l# D2 c9 \
  if (age >= life-expectancy)
# y/ `% I' h4 s* B6 K1 C! y    [ set-initial-turtle-vars-age ]
: d6 a4 V$ E  d" H  if (wealth < 0)+ u" S$ O6 `* _$ n/ z
    [ set-initial-turtle-vars-wealth ]
6 k' V- C. p, S7 A9 V) C/ i" n# k1 [   
/ e; p3 }3 \3 n# L; Iend
! c8 O7 i  q0 H& H* u: h: N0 b$ t( {* C

+ j' u# K0 A+ F: ~, B% W6 \to setup-plots" F  r  O5 [7 H( B* ~5 @$ L8 v
  set-current-plot "Class Plot"
$ s. e1 `3 w7 {( B/ m* v  set-plot-y-range 0 num-people
6 W3 V7 q9 r: k8 q  set-current-plot "Class Histogram"
; \* M8 o0 |" F; g  L  set-plot-y-range 0 num-people7 K4 Z! h3 k" Z& g2 j" ]
end
, H# E! d0 T3 @; C; l' g1 A- C4 o2 m* J$ |7 a8 E
to update-plots
  ], v! l: c8 P  Q- Y, h  update-class-plot' ?2 O" P8 s+ L6 S$ M* O- Z4 D
  update-class-histogram
" a8 U3 ]' t7 `0 j, G  update-lorenz-and-gini-plots
# E3 a! ^% S6 B4 T+ u8 jend  h2 J- W2 V. h, v) a
+ Y( [0 ^3 @/ G: h
to update-class-plot
9 e+ g, v% W. x$ Z! I* m4 C+ C  set-current-plot "Class Plot"
6 f! z4 [6 I' P4 k  set-current-plot-pen "low"- B; b8 G" [6 f6 H
  plot count turtles with [color = red]) w3 F; x& }4 L0 f/ O
  set-current-plot-pen "mid"/ ?: B+ V$ E# r4 c% C+ q% g
  plot count turtles with [color = yellow]
: j# |6 |: I5 D' H  set-current-plot-pen "up"5 R2 o" w: @; P3 F+ S, n) {
  plot count turtles with [color = green]: ]" B( q; z: q2 \0 c
end
. R8 k' K  W' L- b
" i, ^& b. c  _1 |* v& Mto update-class-histogram
. \$ {, z) u  X/ k% h* P  N3 A  set-current-plot "Class Histogram"
% _0 _# V& q6 q! J: s  plot-pen-reset
. t1 u* @: m1 S  U9 c. d* N  set-plot-pen-color red# t8 ?  y7 D$ {1 V, O
  plot count turtles with [color = red]* }3 T" z2 ^0 d1 E$ `, J8 H
  set-plot-pen-color yellow9 c/ f3 T/ X+ N! J& I7 K! u
  plot count turtles with [color = yellow]
( q/ M0 d, m5 l  set-plot-pen-color green
; i$ m. p+ o8 w- H& K; L* q  plot count turtles with [color = green]. N0 k5 i; ?$ z2 O  ^; Q0 @
end
4 f7 i  j0 C2 [2 Qto update-lorenz-and-gini-plots2 O, C' u) c4 a5 S/ T
  set-current-plot "Lorenz Curve"# ~3 n# Q- A8 J, {
  clear-plot2 ^( m6 H: F: ]( r+ t0 G
. o0 b2 O0 \2 E' E  W! U
  set-current-plot-pen "equal". R" J- G+ C$ j: g3 T; A
  plot 0
. y! P1 |9 x, v1 m. J. ~  plot 100! Q/ b- t) k# z  {8 i% v4 Q! ~
1 K% r( v4 G5 h3 j# i7 U
  set-current-plot-pen "lorenz"
) i3 O% _. S  k8 R3 h- ~( K  set-plot-pen-interval 100 / num-people
6 A' p( K) l- r' m4 P% l" r  plot 0
- W& k$ f2 d8 c! O* G1 i1 _& P7 Q( T. ?
  let sorted-wealths sort [wealth] of turtles
4 G7 V  ~" M/ k8 T  let total-wealth sum sorted-wealths
2 }4 B! w0 F8 t  let wealth-sum-so-far 0& D) O* I8 J/ A& d) a; Z. d, j
  let index 01 ~; J7 L) k( W. H& L6 c- P8 f% C
  let gini-index-reserve 04 r0 p6 L+ Q" _/ ^" ?
: Q* e! B; n  M8 L
  repeat num-people [- m  N0 d/ m+ T& e0 D1 r+ X
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)* ?9 |1 K. }# X0 K
    plot (wealth-sum-so-far / total-wealth) * 100
+ `" m' z- b7 @( ~7 [, X! Y    set index (index + 1)+ D# Q4 j5 Z* z
    set gini-index-reserve
. d* J2 v5 G: ~8 l6 X      gini-index-reserve +
2 `' F. b( g6 y) z( Q+ G      (index / num-people) -
' T3 O. Z, |, m1 _; u      (wealth-sum-so-far / total-wealth)  z7 l( e2 y& S( `8 |
  ]2 l3 N; p* z' c! w& E2 Z6 k

3 @# r, t& F, O; E6 C4 g  set-current-plot "Gini-Index v. Time"- h0 b4 t* [8 \8 F- B! u
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 x( I4 y) j% Q8 Xend
0 @, N% M  _2 j& Q: i# Gto-report area-of-equality-triangle" u- X9 j( @$ c% O7 X; ]+ A1 ?
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 d, ]0 h7 p3 ~" v. {$ a6 K; L. Xend
 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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