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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
# b5 c# p, Q+ n1 sglobals( h$ I$ |" F* i8 X4 }2 \- ?
[1 u5 H6 H8 z& z' v/ s  T
  max-grain   
9 z) d+ Z7 Y4 W; f. G6 k! a. n0 m/ n. ^, P. w9 |! F
]/ L, [) J( M+ d" B7 C% l! S

" p  x& a5 D' R# u1 Wpatches-own: [- F7 p* N+ i( W
[
! q% w! d$ I6 f3 s6 z  grain-here      / A9 o3 ?6 }* r0 E% o& B, u' c; ?) p
  max-grain-here  3 o7 q# I0 y. V8 }  F: s
]
  H5 Z% m5 [- A) r( x1 [* Y$ X: ^) d
turtles-own7 n2 d0 N! O2 f8 r
[
5 j5 e% n, m) E) {; X* C/ k$ p  age              ' O+ @0 s) F9 W& P
  wealth         . [; A! q8 L7 p- A& L) e) M# w
  life-expectancy  6 z9 R( L$ P, {  G) l  u+ h
  metabolism      
: U; [, w( B+ t( o( g' ?+ f  vision! J! T% i* T  G, J  d0 K
  inherited         
; N+ s$ J* v0 I" n6 T& z/ }]% L3 L8 P! }5 X7 e2 q
0 O8 Y6 k3 e2 d; V
) R8 @% _: D0 j7 M% I
to setup, V0 W. D! p, c
  ca
" M) x6 @: t- r' C  set max-grain 50
+ ^; r  V. c; a9 ^: M+ U! h  setup-patches! m4 A9 R: z$ a# s9 J8 A
  setup-turtles. }2 ?* @# C  y) \% n9 s  T( L
  setup-plots' u/ n6 h1 [5 z9 b, @, s% i1 F
  update-plots4 f0 Z% |) d+ i' L9 N  t
end
& U, W0 k! n. O$ d! Kto setup-patches
) G' ~$ u" h2 P  u9 D  ask patches- Y3 C7 r" h# N! d8 _
    [ set max-grain-here 0! Y; @( {/ H3 e
      if (random-float 100.0) <= percent-best-land) G/ z3 u" C; X
        [ set max-grain-here max-grain
0 Q% y5 e- H5 o5 x% _- W          set grain-here max-grain-here ] ]3 j: i+ N: s) B7 J
  repeat 58 B- v2 V4 L) A0 l3 j8 I% K$ z* L) {' `
    [ ask patches with [max-grain-here != 0]
' N' V* N8 H5 J: Q7 I' K: P8 @" {5 I        [ set grain-here max-grain-here ]% r; o2 L4 s! K6 n% j
      diffuse grain-here 0.5 ]. C8 a; b8 c& p8 {: H1 ~9 v
  repeat 10
: h5 d5 @* \/ @6 e    [ diffuse grain-here 0.5]         
% s! w7 }9 }& D7 v) P  H$ a* g* P  ask patches
6 U+ U1 B- y% O: z    [ set grain-here floor grain-here   
( p% d2 [. w. z& H$ P- R% v& K      set max-grain-here grain-here      
  t5 V# {! ^& `      recolor-patch ], m5 b( k0 C7 y5 Y  ~* p4 d
end
: K0 }. j2 b5 l% x! _6 pto recolor-patch  ! e9 w' j- W; b# n4 ], u
  set pcolor scale-color sky grain-here 0 max-grain. T" H1 n/ s: L" `5 ]
end. b+ J- o# a# T9 e  Q; @
to setup-turtles
4 U  ]6 u# Y# a0 k5 n  set-default-shape turtles "person"
& ^1 Y: {( b- H) S. o* T/ x% D  crt num-people
6 D- t% j/ M% N7 m    [ move-to one-of patches  
; ^4 F( m; A. j      set size 1.5  7 o( J6 ^" X: C7 X% Y! H- l
      set-initial-turtle-vars-age: V* h7 y. @% @: ^/ q8 @! R
      set-initial-turtle-vars-wealth$ t" [$ A7 z2 l' z
      set age random life-expectancy ]# g; a9 Q' B. @) t0 c" g# t
  recolor-turtles
* K2 ]/ f# o9 ~/ y9 }/ i' T) F, @end
0 X6 B3 J) k+ l2 A* Z5 B( f% |" M/ u; T. W; \  e- T% o1 q+ x1 J* Z
to set-initial-turtle-vars-age
/ D* S# A, D  R' t let max-wealth max [wealth] of turtles. {7 ]& M! V( M* `) |
   
$ I( N9 u  M2 o( _$ m  {     ifelse (wealth <= max-wealth / 3)
4 ?; u* \$ l) |! g- M8 L        [ set color red 5 k7 O# ~6 {) z* f: g6 `+ ]4 M
          set age 08 G1 a# r  i/ R6 H1 @- a7 d& ~, ]
          face one-of neighbors4 ) w3 w1 m0 f  g9 i
          set life-expectancy life-expectancy-min +
# ?) Z6 S5 T+ j. L                        random life-expectancy-max 7 ~; K: S; o/ [% M* u3 {, h* b: o2 l
          set metabolism random 1 + metabolism-low5 ]3 m8 w# G4 ~* @7 X
          set wealth metabolism + random 30
( A* q5 `5 F5 q, E, h8 _9 |          set vision 1 + random max-vision
" Z" ?: h: |5 a             set wealth  wealth +  Wealth-inherited-low ]& h- x1 j4 N+ ~3 R, n  T
        [ ifelse (wealth <= (max-wealth * 2 / 3))$ l* ~' K' J' ~- L, x. P
            [ set color yellow $ n% ?% ]5 \0 {- P4 K  i% E
              set age 0' t3 w6 q& Y3 _0 s6 P0 l
              face one-of neighbors4
; H! G5 e" k* h              set life-expectancy life-expectancy-min +
2 ]+ t. g: a; S                        random life-expectancy-max + 1
8 a1 }; K# e0 Z% {' K3 b3 j7 J' f5 D              set metabolism  1 + random metabolism-mid
3 }: c( S1 {7 ~7 _              set wealth metabolism + random 30. H  R& X4 N8 q# m. R) s, F  V
              set vision 3 + random max-vision9 r+ s' S0 d% c" Y: f
                set wealth  wealth + Wealth-inherited-mid], s9 _+ i/ T7 k1 B1 b. `: `! x
            [ set color green
# z0 ~( |2 D+ L2 o, j) D              set age 01 s3 g: q" }8 @/ r. ]
              face one-of neighbors4 6 \0 }; x* f6 o/ H
              set life-expectancy life-expectancy-min +
, T4 H% h1 }' F6 T                        random life-expectancy-max  + 24 Y8 |: Y9 |* ^) M; w9 @7 ]
              set metabolism 2 + random metabolism-up. X- |; b1 ?4 Z/ I6 W
              set wealth metabolism + random 300 V' x3 {3 u% H9 t  R4 h
              set vision 3 + random max-vision" t% T9 C& E: z* `7 a) G- C
              set wealth  wealth + Wealth-inherited-up ] ]
; `: f7 B- q; |7 l' r' G6 h + w/ G; }. M$ L5 B, b4 D/ i
end0 X( B1 C; f9 B4 u) y8 Z0 H# P6 R
to set-initial-turtle-vars-wealth
" N) ~7 \* T* F' _/ a  q& P let max-wealth max [wealth] of turtles% e# M, Y) G; l- t2 }9 Z# Y
          set age 0
8 D, D7 T7 G* G5 o% I# d; A          face one-of neighbors4
5 Y, @; ]9 ?. P: \  R: t; R          set life-expectancy life-expectancy-min ++ b. Z( ^( k0 c- Z4 t
                        random life-expectancy-max 7 X  {9 \- [: S3 M+ z2 `
          set metabolism 1 + random metabolism-up- x; n- k1 V8 `1 p% z2 |* t
          set wealth metabolism + random 30
1 S" {* b) q" B' y* u% ^& t3 e          set vision 1 + random max-vision . `% P) |3 l% Z
end  G8 D8 A/ B- V, \
to redistribution
9 g: {! {/ K. b: S; alet max-wealth max [wealth] of turtles" z* T7 w) v' c0 ]; _, _
let min-wealth min [wealth] of turtles
; {- a  o) j- \4 g1 }  Aif (wealth <= max-wealth / 3)
0 m+ D# V$ a* ~# u7 l [set wealth  wealth + Low-income-protection ]" ]2 T8 G6 {) t2 R' u2 _
end
: o4 A( i1 y2 q* w; G+ q          8 T% Z( Y# f+ K4 G8 G
to recolor-turtles
) u3 I' @  x  [7 D( J, G6 b5 P  let max-wealth max [wealth] of turtles; d. L+ W3 \* s: K8 `
  ask turtles
6 @/ m4 R* Q+ U5 M& k( Z" `   [ ifelse (wealth <= max-wealth / 3)4 |6 o; X" a% t7 K
        [ set color red ]
  E1 D3 A( E! ~6 a$ K0 X- b5 W        [ ifelse (wealth <= (max-wealth * 2 / 3))8 F5 f4 F3 K2 K- L8 j# y  k
            [ set color yellow ]
# Z7 K% u8 R( K+ S# w9 X; `: n            [ set color green ] ] ]$ J2 M7 D9 q# [) P' Z# `
ask turtles [ifelse show-wealth?/ W3 X) x8 e# [8 E
    [ set label wealth ]' s/ a5 C5 `5 |$ x; D- Q
    [ set label "" ]]
- t- U- X5 j  W/ ~8 s$ z' [3 E' `end
: t* c3 u5 t4 g
3 r7 U- ~0 z, Cto go" H7 b# n2 Q% I0 p
  ask turtles
/ P; @0 `0 T0 a. Q9 p6 x    [ turn-towards-grain ]  , p% H) d/ D) L9 C1 E
  harvest$ D5 o8 i- L* N1 Y
  ask turtles* l( W' F$ v# g3 ^1 n: O
    [ move-eat-age-die ]
9 g: t% _7 s; d$ k4 {8 r/ F6 _+ O9 j  recolor-turtles1 p! e9 h9 W0 w/ s, u8 n
  if ticks mod grain-growth-interval = 0' b4 V6 z3 W( D
    [ ask patches [ grow-grain ] ]6 v$ c4 F+ A7 ?5 [9 W# D
   
% w6 q3 ?5 m0 A" _9 p  if ticks mod 11 = 0" }( u8 p8 h5 n' k* _+ a
  [ask turtles
' Y' b* ~8 j5 b, S3 h* a  [ redistribution ]]0 L6 t* \4 x& j3 |( X, W9 V
  if ticks mod 5 = 0* e8 c0 N- n- z8 A- _4 h8 J0 z
   [ask turtles# i' r, n% x/ {7 U$ f
  [ visions ]]
! G3 }0 O+ L; m! d' Y  tick9 n1 h2 {  v5 m$ |4 v$ E: d+ a2 h1 [+ N
  update-plots
! F! p4 h; i/ T$ q! Send* @% R3 A! V; h! d: [4 v. }1 ]
to visions
) k( O  P  \2 v% S: r set vision vision + 1 " ~( n$ _" L, C2 M: t, r
end
  Y/ M4 O$ F: r7 I! e
( z- D1 P: S+ c' [$ I4 ^' P7 F5 S0 ^5 @7 v! ]7 j$ T6 ]
$ m# p' y  F- @9 r5 n3 C9 d4 V7 G4 V5 _
to turn-towards-grain  
% D# }; ^2 {* ~  set heading 08 y: \/ t8 y7 }
  let best-direction 0
; C. t' x& v! `) @% B/ y5 F  let best-amount grain-ahead! u# G6 e) H7 _( P
  set heading 90. n0 E+ S2 Y6 `# f" K- I
  if (grain-ahead > best-amount)
6 `8 ^9 U9 ?1 q! O/ |3 A) Y    [ set best-direction 90- ^! X* @3 \7 z) J
      set best-amount grain-ahead ]! n+ k( W- q6 h9 |8 H6 F7 i
  set heading 1801 ]) j0 ], L" @) d
  if (grain-ahead > best-amount)' e  E. P: _: D% M( j
    [ set best-direction 180! t  h; d& c4 H
      set best-amount grain-ahead ]8 m& l! [, }! W  B5 D% |
  set heading 270
5 r( O- k1 [; _1 Y  if (grain-ahead > best-amount)
- p4 c% m7 P, t$ I- A. C    [ set best-direction 270
7 d* V: X( C5 @! s      set best-amount grain-ahead ]
$ C5 d7 [- }! D. _4 \5 \+ n9 F9 z' O8 E  set heading best-direction
/ m& a3 }  D+ H+ k; K2 R( Lend
/ N5 P* z+ U/ R( }' N% c0 R: N3 n0 B/ \" Y- U
: ]# H! M: o% v) U# o. b! J
to-report grain-ahead  ( s1 b, S5 U  z0 l$ b
  let total 06 a! B, U3 |( g+ O' o; J( W
  let how-far 17 Z7 U) d2 E8 ^9 X% ]# Q
  repeat vision
4 V" L( n. `; `1 ^    [ set total total + [grain-here] of patch-ahead how-far
. W+ V- j& }% u) g. a0 u3 a      set how-far how-far + 1 ]
2 [9 |/ u6 q' o* C9 Z* F# ?  report total
1 F% `# B$ D5 Z% O, a( d2 _; W( Dend2 R& ^+ T/ j  c$ Y9 V+ o

! @7 t, d# \3 |* X1 A# hto grow-grain
) ~4 ^$ M! j( t  if (grain-here < max-grain-here)$ I# _  k9 I. G' \( L: H
    [ set grain-here grain-here + num-grain-grown" z; s# N7 M' [7 S
      if (grain-here > max-grain-here)
, J! L1 P/ V+ v5 w5 s        [ set grain-here max-grain-here ]
) @# Z3 A  d/ m9 U; J/ D4 `      recolor-patch ]( C' ^# O$ W/ j3 y' d0 {; n
end
8 a9 _0 w1 E3 H+ V; P0 c. |" }to harvest
. k# o5 x& h# _: N6 z3 p  ask turtles
0 E4 D. M* L( f+ I, a    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]  E" U7 a, p1 s- R1 |1 C$ v0 O
  ask turtles/ L0 F/ V! q% O/ V
    [ set grain-here 0  N) S/ [/ c* U. ?* \  @
      recolor-patch ]
* l. v+ E# e( a) O- ]  
( B  V! D$ `8 M" zend
  ]& y: t& i9 [' Q7 W! _% v
# t0 q% g" t5 `/ v) h) lto move-eat-age-die  
2 Q# i3 z1 Q" O7 K0 R  fd 18 D! z0 F8 G  F9 o$ j" ~- r% e
  set wealth (wealth - metabolism)2 Z$ p7 k, b: k6 Q7 r
    set age (age + 1)
4 g0 _4 _# G% C# E% @& R+ `0 p+ x  if (age >= life-expectancy)
4 H8 r+ M+ q5 I) Y( p, G' j    [ set-initial-turtle-vars-age ]" V# M+ j5 h0 [5 z7 H
  if (wealth < 0)
$ n0 C6 E: f& U    [ set-initial-turtle-vars-wealth ]
. j' b% O  a6 I0 c% j2 O   
5 {" c! P' w, q: Send$ m6 x% u, H" p; m

6 ]. y/ Q  a4 _8 V. C2 d
2 {2 _: Z! l& |+ g- Ito setup-plots
7 H- W6 \& d" t- `* u  set-current-plot "Class Plot"9 k; Q: W( n8 U4 i; T* F: Y
  set-plot-y-range 0 num-people
. g( `. M! y* p0 d  ^  set-current-plot "Class Histogram"
; E& k' m" y) D' F% K: O9 I  set-plot-y-range 0 num-people" J# p2 P$ t$ ^1 z3 F- T
end
3 n6 P/ m1 g+ v! S$ d8 f
, @) ^5 D- w7 p, U' q% s0 C$ Q$ ito update-plots8 {* H' }7 L! K  K1 p
  update-class-plot
8 F9 g4 j# @; ?1 R3 o  update-class-histogram
2 ^, a: ^3 b" z2 S* q  update-lorenz-and-gini-plots
" x* V6 Q  K* @: R/ ]end
" ]5 v1 D+ f, b) e$ ]8 V5 H  R3 [3 n0 @$ i) E5 ?% y- g4 a
to update-class-plot( w; a; q% m0 W6 v
  set-current-plot "Class Plot"/ I. U1 O( s8 W8 f/ J  B/ q
  set-current-plot-pen "low"
5 m2 P. n- A9 b. _' Q  plot count turtles with [color = red]3 V& M5 ^' C4 A. W* R# l- Z2 U
  set-current-plot-pen "mid"! x, j  J- {/ O! Q. Z% _6 n
  plot count turtles with [color = yellow]
7 V+ Y$ I  i5 b: Q% W- E+ U  set-current-plot-pen "up"
( Q0 o  p2 A: s% i  plot count turtles with [color = green]* W2 s6 e: F& O9 ~) {
end
  D6 G  R! h9 a4 G; g) G4 k$ V* P8 e4 j5 H) W. b. _" Q+ p. S
to update-class-histogram
& a8 K/ O/ O( u7 t* u# V3 M* I  set-current-plot "Class Histogram"9 x0 }1 ?3 O) V/ U
  plot-pen-reset; _* N5 q+ B: V$ h
  set-plot-pen-color red
7 Q* ~+ A- r. x* J5 F! R7 s  E  plot count turtles with [color = red]
0 T& _$ J6 G. J! ]0 r0 i& h( \6 T  set-plot-pen-color yellow: A. P! C# T( W: |% i- ]2 M  m
  plot count turtles with [color = yellow]; l% o$ s9 h& R) e7 r
  set-plot-pen-color green& N) r+ T7 D5 l- F% }) d" L
  plot count turtles with [color = green]. y; v$ d. V$ X1 }5 z
end
( @6 P% @" H+ B" T7 p: ito update-lorenz-and-gini-plots- O; x9 z5 u+ C7 B% D: I/ Z5 A
  set-current-plot "Lorenz Curve"- v& F3 g' l4 H3 X' }' q
  clear-plot
0 C9 M5 P2 _4 s( E. l0 ?
& s- F+ ]. C5 M) V8 X7 U& l# |( V  set-current-plot-pen "equal"
" T5 Z7 \) I5 M: g. J* u& l$ {5 Q  plot 03 U1 v' t3 ^6 c' m% U2 O
  plot 100
" {- Q" U; V0 b2 d: @% Z
" k- K0 c7 a# e: P$ |+ }  set-current-plot-pen "lorenz"
8 E* f7 `1 c3 B$ c& }/ U* o0 e  set-plot-pen-interval 100 / num-people# o3 }+ O. _: p% c' z
  plot 0
2 u' k  x2 }1 S7 p9 s
8 ]9 X( k% n  p9 |  let sorted-wealths sort [wealth] of turtles2 B4 x" c% ^6 H8 h+ E3 x' @( f& _
  let total-wealth sum sorted-wealths
: o2 x; c8 \, d' J, g  let wealth-sum-so-far 0
. n3 j5 ^1 O# X' Y( V! t3 a  Z  let index 08 T) E7 }- j; v/ m3 f& A
  let gini-index-reserve 0
5 X$ b' ~- \1 d
, a7 z) Q8 u  e( }1 `) q  repeat num-people [
: `* \; q1 z5 X5 X    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)9 H" z8 z/ ^4 C% }" j+ e  F( A
    plot (wealth-sum-so-far / total-wealth) * 100
9 v) I0 v' x1 v% I1 S    set index (index + 1)/ X% m+ a  }) `- e$ q( `
    set gini-index-reserve
" J+ i9 P. N! J) v# S      gini-index-reserve +* Q( L0 Z5 K! u! H8 G% s# k
      (index / num-people) -( V5 J, U$ X; r7 z
      (wealth-sum-so-far / total-wealth)
" d9 h( s6 A# S" A' I) q  ]
7 T% M) D/ P0 j' q4 T: k+ }) J  S, `) F: ^7 n
  set-current-plot "Gini-Index v. Time"
8 g5 n& B- h* s' e+ u  }8 V0 q' Y  plot (gini-index-reserve / num-people) / area-of-equality-triangle
& M# r% x! p) {% Pend( `" h$ m) U' _4 L8 \" {
to-report area-of-equality-triangle
1 p/ l: E  p0 h0 K) L$ @3 |, ^  report (num-people * (num-people - 1) / 2) / (num-people ^ 2): V# f6 Q7 v6 K& O/ V  c1 A; a. b
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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