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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
" [, W0 _$ Z; E8 w. H: Z3 Oglobals
; [5 {) a; e% S" ^3 l5 K: Y. ?[6 k, W/ l( J( R1 f
  max-grain    9 C# J  c* C/ g# V0 E  r- D

9 d4 H1 ?; |* N9 X]5 W, G$ _! g4 t, G% T: y. X
  l' Y8 f) S$ @
patches-own
5 N/ a; q* _+ h7 g  {' Q[
' }: c! Z$ L! n2 W: |1 e  grain-here      + y1 S! K7 \+ c& s# s% H& q& K
  max-grain-here  ! `* J8 C! e- M
]1 _& D/ l# Q" j  W3 B5 k# [) F

- Y5 v- o3 p( Q) nturtles-own
: D) R8 p4 D/ x+ c1 Y  s[
1 D; v7 g/ @  \9 t) M* Z# N  f! n  age              
; y* l9 _: {* g% N8 p1 q9 m% ]& n  wealth         
& q" s) ], c7 w  life-expectancy  - _. }6 X7 u9 g2 p7 C
  metabolism      
. b, L6 s/ R9 v( o7 n  vision
$ ]( `& p+ s6 }8 w4 k  J; V  inherited         
  Z' h5 ]0 g, ]0 `( {2 w/ v) J]
( ]* C) [; E5 ?7 K( G. w( Y1 B5 M! H8 f$ B# ?9 P  I% z/ {
3 v1 ~( w/ V* W' l0 {
to setup1 r3 `) D1 I+ U
  ca
( E, s, _7 g9 q: B0 C% ]  set max-grain 50* b# W# z* j' Y2 `
  setup-patches' |" w- s! n# ~# d1 S( [
  setup-turtles1 a6 d8 p0 m0 m/ A
  setup-plots
4 ]9 J2 c$ r- {4 T' p2 d  update-plots/ m1 r/ V! u. i! a$ i5 l
end
2 p! Y: l5 `. X: }to setup-patches
% G: Z7 B7 |& ^7 t6 I; @  ask patches* e# i' y" Y8 ^1 o
    [ set max-grain-here 0
) n% m% ?  k3 ?: O+ v% R0 K      if (random-float 100.0) <= percent-best-land" C; D# n) Y, V& P" @! @2 f
        [ set max-grain-here max-grain- a- Q% a) b  |; R+ \
          set grain-here max-grain-here ] ]
. L7 w1 K# C7 {- h4 v  repeat 5$ Q. H5 m+ h* P! D; t
    [ ask patches with [max-grain-here != 0]: ~4 v! {* G" y" L- S
        [ set grain-here max-grain-here ]: N) x. P% Q7 `  i# I$ A& V" B5 n
      diffuse grain-here 0.5 ]
! I0 {/ m/ ?5 O+ X, [  repeat 10
. U( d$ K4 j9 U( d+ k  V    [ diffuse grain-here 0.5]          8 b7 t- d, L$ }* K2 z+ ~  {6 t
  ask patches0 s7 H3 u6 T5 N6 e2 h& f" {0 k
    [ set grain-here floor grain-here   
& O# b3 t' X. V      set max-grain-here grain-here      
' S7 A6 x1 R# j' d& O2 ~      recolor-patch ]- Q3 W9 O) `* Q) D) @
end
& e; P% g# J% f: t& P0 ^to recolor-patch  
3 u4 ~9 y  b- t6 s, @4 d' }* e3 Q  u  set pcolor scale-color sky grain-here 0 max-grain. Y' n1 T* x' l7 Y1 N
end
# t& i& H: d1 `6 Q" j$ p, @/ i( ?- Qto setup-turtles
7 e5 \# K; D8 B0 d2 l  set-default-shape turtles "person"- ?) f: Q- a( ]+ Y! G% q4 d
  crt num-people1 d* _6 z2 z! e  Z1 h: Q
    [ move-to one-of patches  
( T" G+ l" m$ t6 H0 ^" o3 ?4 w      set size 1.5  
7 D- p$ B" {  |" }$ F! P' s      set-initial-turtle-vars-age
' W# B2 o9 o0 \2 ^% F; {  n      set-initial-turtle-vars-wealth( B% Q9 L# H$ ^( ]! w
      set age random life-expectancy ], j% R& J9 Q$ S, u* l
  recolor-turtles* f* D0 ]7 a7 P
end
+ H0 @% V1 ~: `9 r9 d, M' p* B7 N* U$ c7 Q7 h7 ^. V; p6 D' p0 P; [
to set-initial-turtle-vars-age  N0 L4 {0 e  ]4 M4 {2 u
let max-wealth max [wealth] of turtles; G  G- f1 n, ~7 k( W3 Y- _! C9 u
   
  d5 g8 W5 [# i5 @' b" O$ p  F     ifelse (wealth <= max-wealth / 3)
6 c8 j& Q+ Z3 E2 r% V7 r        [ set color red
3 ]  p  N! F3 g) p% I          set age 0
8 u, Y, N- ]3 ], K) X          face one-of neighbors4
: S+ N0 c: q+ ~; r" d$ E0 {          set life-expectancy life-expectancy-min +
% N* @* z8 Y( d/ R                        random life-expectancy-max
$ W  n3 S  A3 D# f          set metabolism random 1 + metabolism-low% `0 ~1 H* U: Y" H% X6 F% U1 G: L
          set wealth metabolism + random 30+ `/ U' U) g( z% A1 i
          set vision 1 + random max-vision
+ d" g: D- W! g  N- E& r+ H             set wealth  wealth +  Wealth-inherited-low ]0 F7 v1 M& o( ~' m
        [ ifelse (wealth <= (max-wealth * 2 / 3))7 x0 G( c5 v' l3 F, I& _  a
            [ set color yellow
2 R- U$ M7 @; ~. Q& |, J2 Z5 B9 s              set age 0' y( Q& d0 l! {" H4 u/ _
              face one-of neighbors4 5 ?( q! M- K, x+ Q3 d
              set life-expectancy life-expectancy-min +- H( m4 O- C+ P' \# @
                        random life-expectancy-max + 1/ ^) D9 `, Z$ b; ^
              set metabolism  1 + random metabolism-mid
- g8 m) Y/ H1 U) x8 N, f6 U0 U9 g              set wealth metabolism + random 30
) l6 E$ ~" }: i8 H" f              set vision 3 + random max-vision
- E* l, Z/ ?. p0 p0 T7 J7 K                set wealth  wealth + Wealth-inherited-mid]
& z1 k1 r) B/ Z- u$ F' Q            [ set color green
$ _" @+ Q1 ^! p6 x. ]5 |! P' P7 w              set age 0
- i+ u' ^6 P* w7 w: g              face one-of neighbors4 ( f/ t& @. q9 k
              set life-expectancy life-expectancy-min +
0 q0 q0 {  F, g0 B$ I                        random life-expectancy-max  + 26 c  O0 r# O# K- c* W
              set metabolism 2 + random metabolism-up" C5 n3 ?1 R5 z" g  M6 g
              set wealth metabolism + random 30$ D; [5 {- V& t$ X8 M
              set vision 3 + random max-vision
# n! |; B# Q( D1 g              set wealth  wealth + Wealth-inherited-up ] ] 3 @5 ^! O' n' l, Q7 `3 N  C
3 ]! U& j# u& u( Q' {1 c
end
9 H3 K( F9 \$ f3 G0 I: ^+ zto set-initial-turtle-vars-wealth
5 `+ E# v1 n8 z let max-wealth max [wealth] of turtles
" S/ X( G6 L. Q7 F& J8 s' ~# D          set age 0
/ V2 e0 f9 P, ?" M+ n# Z          face one-of neighbors4 5 g, l6 r8 x5 z8 ~
          set life-expectancy life-expectancy-min +3 m5 P# z* \5 x  Y
                        random life-expectancy-max
  E* C. X$ w9 ?& v9 i0 u          set metabolism 1 + random metabolism-up" u+ I5 _% ^; {( g
          set wealth metabolism + random 30
# C& T* i5 W) ?# X) K. `& S4 j/ {# T          set vision 1 + random max-vision . }4 p+ y: u: @0 f) Y% @
end
2 R% P4 W, L/ U0 M0 X1 r0 r9 e) gto redistribution
1 \2 B2 I1 H( T9 L* _3 h- {let max-wealth max [wealth] of turtles
3 V5 t+ _$ I9 G% Y! |$ Vlet min-wealth min [wealth] of turtles8 b' O; X& ~6 Q; |
if (wealth <= max-wealth / 3)
! d% N# T" y: L1 C  R) g, G  L  Z [set wealth  wealth + Low-income-protection ]
  _& ]2 R+ ]7 u$ [9 Bend
1 o6 Q( S9 r9 r! z' o3 n         
0 v' ~! g: @* G6 d  S" e$ Lto recolor-turtles
0 \# P2 k: {) e( D4 K  let max-wealth max [wealth] of turtles" @1 z: h- Y2 E; a0 ~
  ask turtles" r& g) B5 ~9 ~) y
   [ ifelse (wealth <= max-wealth / 3)% P6 _# r! E, w
        [ set color red ]# v& |# D$ l/ i, H! b9 h1 H0 A
        [ ifelse (wealth <= (max-wealth * 2 / 3))5 L" L9 B  a& p$ Q
            [ set color yellow ]4 d& u5 @; p; ^- p# o/ Q9 O2 E* P
            [ set color green ] ] ]2 Y/ e4 C# `, J& I# w& ?5 r( I
ask turtles [ifelse show-wealth?
2 S3 G& N! X* h8 U5 V1 P9 E& Z    [ set label wealth ]
8 E1 S3 e3 n% R2 l% s3 Q6 V    [ set label "" ]]# `' H9 m$ V5 C; D
end
0 ]  f8 N5 ~6 p& N& y  H9 J# ]0 X3 E3 I5 v1 U
to go
' n) d9 p( L4 U+ @  ask turtles
/ g  e- m% ?# L  M, H+ F    [ turn-towards-grain ]  
. g- @! Z/ ]: k& |  harvest% j" ^4 x" [. ?7 h1 N$ S* j) v5 Y
  ask turtles
- q7 ?) g9 P9 ~7 O" a# S* Z    [ move-eat-age-die ]1 L0 U9 e( @; I, U$ x% ^
  recolor-turtles" c9 V3 h: @* J2 g. G
  if ticks mod grain-growth-interval = 04 _+ K& H& N! _% z9 A  U9 ~
    [ ask patches [ grow-grain ] ]$ @3 P* \8 a, j# c( P
   
; V! N- W* U' z8 Q$ d. o$ b  if ticks mod 11 = 0
$ j* v8 f( \5 l  ^0 K" j  [ask turtles/ ], M  V" ^% `" z
  [ redistribution ]]
+ W" Y  [* B# V  if ticks mod 5 = 00 y( g) Z/ X; y5 I' C" _& s
   [ask turtles/ q4 |$ E, B8 ~( Y9 @  x3 @
  [ visions ]]
3 ^' b; S' h9 H3 t' P5 |* Y2 J& }  F  tick
3 M7 H" _  c. i$ z6 A" q- G8 d3 X  update-plots' N6 P: O# Q" Z! M% d
end
; E$ o. y& `2 b1 @to visions( p4 a0 G# V/ c. w; k$ H
set vision vision + 1   H8 W" C% \8 N" r+ e% I
end
: _# E7 E0 H& p0 H
$ V1 m1 Q& F$ ]/ e) a( J$ ^; s$ U* K& D# J) y# d3 l8 b
: M7 b8 n/ z6 ]# |, N( F
to turn-towards-grain  . Z0 A" y- q. n0 ]: k" T
  set heading 0
9 R. h( v; }7 T  let best-direction 0
8 m  v3 ?. {/ g/ J7 I8 _: C  let best-amount grain-ahead% ^% q& p/ g& A# F/ n# V
  set heading 901 T6 g6 Q+ f$ g; _+ O$ {
  if (grain-ahead > best-amount)
3 ^! F" u  o6 G* K    [ set best-direction 90
7 r( t( c( w! O0 F8 t      set best-amount grain-ahead ]" E  Z. y" ^9 W7 b2 O" g' E
  set heading 180: K1 x( ?0 E. n$ P' Y
  if (grain-ahead > best-amount). a. Y9 e2 I) h" J7 U3 J2 V' `1 ^
    [ set best-direction 180
; W* x% Z# o) L      set best-amount grain-ahead ]
9 f1 R+ \( d- I: E* U- ^  }  set heading 2709 M2 J% d9 {, Q; \
  if (grain-ahead > best-amount). R2 a, V+ H! k) ]& s; ~7 a
    [ set best-direction 270
% m  s- s" b  X7 h+ \      set best-amount grain-ahead ]
- E3 x$ J  W9 u* S  set heading best-direction* F. k: \0 ?% k2 ^
end
8 J6 _. z5 N0 a1 t* S6 P
" C1 _8 X$ \& M4 {; R! w- R7 o; t5 K" ^/ _$ G2 Z' S. r* e! O
to-report grain-ahead  
1 q" D2 F' m$ {# G  let total 0- p: O1 W- r# {$ M! ^
  let how-far 1+ V) E& a% N) |7 p$ Q$ l9 T0 ]* F! W
  repeat vision
( v6 F1 d' ^& k/ H    [ set total total + [grain-here] of patch-ahead how-far( b7 H3 @) Z( M& @5 O1 f
      set how-far how-far + 1 ]2 [6 t& z1 n) y* S8 w9 m
  report total
; D" k6 `7 p5 Kend
# Q8 J; V' m6 Y; F% j1 g
+ \& y% l& R8 H, g1 k/ w% w, mto grow-grain / u3 T& M5 R0 o  T( w# C# ~
  if (grain-here < max-grain-here)
5 c" h2 t7 t4 g3 `8 K0 P    [ set grain-here grain-here + num-grain-grown' z0 k/ c3 \+ d# t# H7 S
      if (grain-here > max-grain-here) ' g$ o" B- Z: |% z* u; Y' E& z
        [ set grain-here max-grain-here ]3 H, K) z7 P! k# d7 m
      recolor-patch ]
5 B; H3 g) n% a+ I" P7 I0 Oend
7 m- B( @) Y  W& A3 I5 l5 M0 A: Y  Tto harvest5 h% r7 A" G; G1 j7 e& o: b9 `
  ask turtles7 ^% D% a/ h% m" e4 c2 e4 m# y/ y
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]/ K# C4 t' ?8 ~1 h  _1 Z9 A% q
  ask turtles" d& N3 |% w5 k. j0 A( I" r6 W
    [ set grain-here 0
  @% G5 g2 r. _8 j4 w      recolor-patch ], `. N' H" z. A8 W
  
& x# |% P8 ]4 Z8 Fend9 X9 \6 S1 p- \) d/ Q# w
# e/ B& i- f3 l
to move-eat-age-die  7 n! M: {4 P) U" W8 F0 R) ]7 U
  fd 1$ ^- n& [1 W- n0 t, q
  set wealth (wealth - metabolism)7 W7 Y' Q8 W3 K5 y* b' s9 N; r1 W
    set age (age + 1)
' @; |$ _7 s$ u' r; S- L7 p  if (age >= life-expectancy)
$ p5 S5 j+ Z: u  b6 p2 A; u! l    [ set-initial-turtle-vars-age ]
: _5 d0 j  ^# }  if (wealth < 0)* @& M9 e* f( S7 O/ k
    [ set-initial-turtle-vars-wealth ]% f- J' \6 A  n! B6 i8 D$ m
   
0 @) G- F' P  a' {end
- O2 D: A! U% G0 n9 m& A; T* h4 n& G( ~# n5 M! a! m* H; @7 o! v

3 Z: L. I) w# z. `) V3 Eto setup-plots0 k5 |. t) y3 [6 i& q) o
  set-current-plot "Class Plot"& V$ A  Z) L7 [& k; {( N) W
  set-plot-y-range 0 num-people
! S& a% Q6 `; i  set-current-plot "Class Histogram": _( Q9 m- z6 y2 s8 V6 o
  set-plot-y-range 0 num-people5 F* l" K' u' `5 W
end+ `2 }1 k( n& {4 `
- L. p2 ^" o% r8 F3 Q# T
to update-plots8 K# d. H# E+ [7 b
  update-class-plot
! ^% U1 ], j* t' Z4 u' R1 n; N  update-class-histogram
5 d) ?- m* [6 _9 e& G$ z: B9 ^  update-lorenz-and-gini-plots0 M  d) R# g2 i- t$ |4 B) d
end
* v0 @' \! i+ N% p3 [
( }1 y9 }; L: x# v3 eto update-class-plot
. {" g( W( l: V- v  set-current-plot "Class Plot"% B! a& C% U6 R
  set-current-plot-pen "low"
% P# \6 i9 Y( @8 y5 N. L- A4 J  plot count turtles with [color = red]
! ^+ |# [5 Y% U8 Y( o/ O  set-current-plot-pen "mid"
. V; P4 w# q# B: {3 ^  plot count turtles with [color = yellow]
% u, A& ?4 v" z) \" ^7 @( [2 x7 U( [  set-current-plot-pen "up"' a6 o  m9 a: t
  plot count turtles with [color = green]
* _3 ?0 U6 G# O& }% U) b) q9 H1 k8 yend9 j5 z8 V* p2 q7 r

' \. q" f0 V9 T( h9 v5 D# Ito update-class-histogram# p+ I2 J8 n" p2 Z6 c& c. ~
  set-current-plot "Class Histogram"
4 s( r; h2 C  x2 N  plot-pen-reset
, k. |& p' `" r  set-plot-pen-color red( p8 f/ ^& q8 E- D& m5 S. z
  plot count turtles with [color = red]
0 C6 q3 K$ c. t* {9 E! b  set-plot-pen-color yellow
* d+ |7 H# p" P& p* X1 n* M  plot count turtles with [color = yellow]% [3 l* ~3 W* }0 o2 ]) @6 F5 d) Y
  set-plot-pen-color green
8 l# Q/ {  a- j4 q0 p  plot count turtles with [color = green]
/ k- L* n  E6 l" E9 V* qend
" y4 |% n, C/ U6 Y5 \to update-lorenz-and-gini-plots
+ ]& `( P2 f' x& H! a  e! ~  set-current-plot "Lorenz Curve"
, q$ h# x, `  @3 }5 w  clear-plot9 j0 {5 V3 j+ r6 f  n- G! S

6 h7 Z' H, f9 T" y3 B  set-current-plot-pen "equal"
6 c- E' ^- O  s; x* _( h, F  plot 0
* H- H& H) a1 ?, m1 r  plot 100; |: M7 ?  E% ?$ b1 H; Z% f

+ X: b( h8 ^) t! w& h  set-current-plot-pen "lorenz") G* t5 O' S: H
  set-plot-pen-interval 100 / num-people
5 {9 g; y' q# x  D- b  plot 0
+ ~$ Y! X% h$ ~" F
4 i1 Z6 r4 g" K  let sorted-wealths sort [wealth] of turtles
7 H2 r1 C! U2 V% {3 v: y  let total-wealth sum sorted-wealths
* f) l& l) b2 b! r; s# o' F  let wealth-sum-so-far 0
& U1 T: C; F% v3 Q/ S  let index 0
& C4 P" S, p& n" I. S9 U% e6 k  let gini-index-reserve 0
6 ?! e/ q$ A7 m7 A) x* r' h8 H! q- v' p9 M
  repeat num-people [
; k7 Z( D* `8 j) H# [    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 l( p9 ~% c$ a$ G* O2 J
    plot (wealth-sum-so-far / total-wealth) * 100
  e$ \% `5 P+ a  E& G0 B    set index (index + 1)
' F. s% j5 d/ V5 r; n    set gini-index-reserve
- a/ t+ v- H2 S7 [) U) Q  _      gini-index-reserve +8 c& Y2 {/ p. _
      (index / num-people) -
0 |0 `* O( |# x9 ^* w& C5 }2 w      (wealth-sum-so-far / total-wealth); m7 q' s% Z0 X1 Y& G
  ]
; D/ n; h: X! O8 u
8 n# z  d; I! f9 ^/ t; W& S1 _0 n  set-current-plot "Gini-Index v. Time"
: x: N* U$ t# o, i3 P  plot (gini-index-reserve / num-people) / area-of-equality-triangle4 K: X2 v! b+ X# x' o# v
end8 C" U  l; }" O- c: B# f3 i- b& y
to-report area-of-equality-triangle: b4 q! A! t, Q( J' }# @/ l" C7 S
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
4 y, H3 A/ A: e& Gend
 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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