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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
; }1 N8 e8 g& |3 d4 u# p) j: oglobals
7 X3 M$ Y4 s" K[
; N9 e- `, g3 n; [1 k  max-grain   
  r0 n0 t1 V6 S: |: G
$ X( r1 t* H) g) a5 E. L]1 F$ w% I4 W7 x+ U; t# Z$ f& l

0 ~, b* `# j" m5 {( Ypatches-own
$ Q/ C" p. e% g: c9 ~# v[: L1 d3 ]* W$ T  D6 p6 Q
  grain-here      
/ t. l  Y# D: I4 }# m1 R  max-grain-here  / |/ V  N- n9 B( g# V1 ]
]
; R) a" w" r+ y9 q# S$ ?* Z( z1 Z* T4 c( C1 S# T
turtles-own0 ?, l+ Z& v" S; A3 H
[+ D$ v! }# r" E9 G2 S2 {/ J) G
  age              
. I/ \+ i* {+ L: r# _  wealth         ) N4 f$ O9 J; K7 r7 F( G
  life-expectancy  & f$ t& w) r1 R9 D
  metabolism      
+ X. t" X( I& Z2 ], i$ E  vision
, E+ r" R- d+ N; _) o! u  inherited         
5 u; a0 y. z4 r! ]( m]
* C& l) W1 }5 q; e2 F
# n/ j2 k+ ?2 I. R# w  [
" p/ {! D9 W7 [0 X' `9 ]& i1 W2 Ito setup0 z8 t& a7 l" T
  ca
+ S0 B& Q4 v9 ~& i. i  set max-grain 509 ]  y% J6 y$ T5 Q) z
  setup-patches
# C0 n: V6 x2 ~  setup-turtles
; y" v2 [5 E! V+ A  K6 z  setup-plots; x* C; ~% w% `$ a) L: o9 s4 @5 |  [
  update-plots! D  m, l" B8 P3 w+ K5 m
end4 T  n% H- l2 z6 x% w
to setup-patches1 j# Q+ T+ e/ t3 N
  ask patches
. E/ Q6 S8 q* R    [ set max-grain-here 0
5 H5 J. ~$ N4 Z+ E- G' }      if (random-float 100.0) <= percent-best-land$ ^+ ~) a  H6 H" W- r5 Q
        [ set max-grain-here max-grain
) U' K. h* s% [0 P          set grain-here max-grain-here ] ]" ?) u1 K$ A3 F0 J5 Q. G
  repeat 5& ?: m; Y& |8 m6 Y
    [ ask patches with [max-grain-here != 0]
: |; q6 K( O( J9 R        [ set grain-here max-grain-here ]
! G5 W% k# _  ?$ E/ B) ~      diffuse grain-here 0.5 ]4 P  ?4 N. M: O1 e
  repeat 10
" D, X  s8 A- T# f    [ diffuse grain-here 0.5]          + B/ V4 P% A# L! q& h
  ask patches
) l+ X- l) H+ y3 T: S  B    [ set grain-here floor grain-here    + k8 {* v* Z1 {5 ^# e7 ~
      set max-grain-here grain-here      ' J3 e- o; C; i9 O/ I
      recolor-patch ]# ~$ t1 O& l* n% }5 Q
end
$ ^) l8 V- L1 \5 a3 ^9 Oto recolor-patch  
' ]# Q6 S' m; {; O' ?* H  set pcolor scale-color sky grain-here 0 max-grain6 j0 L( i* B7 }' M2 {4 N
end9 v! J" q) O0 I! J
to setup-turtles
; G* w% F' B/ M3 a  set-default-shape turtles "person"
5 N9 W; c  a; q% i0 u3 m  crt num-people' b- f8 S0 l- E" _
    [ move-to one-of patches  $ |5 |6 d: B) R) T, m+ ]$ |/ P
      set size 1.5  
! j: |, H) G, d% a9 |+ g      set-initial-turtle-vars-age9 l. H5 [2 L4 D2 z4 E# {
      set-initial-turtle-vars-wealth  ^' n" m7 {& N$ _
      set age random life-expectancy ]
7 A+ c& |5 D0 \. P3 p  recolor-turtles
& l; O. }7 O% s5 [2 eend- a8 f* z, A9 J" B
3 n' @! J1 Y- `( L5 J. W$ c8 U/ q
to set-initial-turtle-vars-age* @4 c4 P4 }( O& ]; k3 I
let max-wealth max [wealth] of turtles4 M' M$ `& m1 D
   
. L8 ?4 R9 `2 W4 v% j     ifelse (wealth <= max-wealth / 3)6 k: k9 `" \2 V: Y9 p4 g1 M( U$ y
        [ set color red
. O& W7 ?* c1 c3 {: Y          set age 0' _( g7 v; m) w3 A. Z& [. y# N& U
          face one-of neighbors4 . e+ V7 {) V) }* n8 G" x
          set life-expectancy life-expectancy-min +
" ]0 ]. t3 b+ L* r) v                        random life-expectancy-max
/ Z* S: b9 c$ {& P$ M- M2 g. L" W          set metabolism random 1 + metabolism-low, s! i$ P2 x0 Y& K9 A+ e& m0 [
          set wealth metabolism + random 303 S" Z- A2 \0 o- b5 l" H; E" ?
          set vision 1 + random max-vision
5 {5 w, ]: R+ N: x             set wealth  wealth +  Wealth-inherited-low ]
' D) r5 P5 s3 X0 ?: {+ f4 u        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 D6 q! |) m  Y            [ set color yellow / \6 A4 o( ?8 Q  P4 a2 G0 F& r
              set age 0; Q& ~" _4 P8 u9 H# d1 U- {
              face one-of neighbors4 * _  P# o8 T" r# n0 E4 _
              set life-expectancy life-expectancy-min +
. `: B8 |9 o7 {  ^* B; C                        random life-expectancy-max + 15 ?3 S( K+ A% ^( e  l  z
              set metabolism  1 + random metabolism-mid) I' }( F& _' _
              set wealth metabolism + random 30
, a; e/ Q3 m' q              set vision 3 + random max-vision* f, |) A/ ]: ^) \( t! O$ s
                set wealth  wealth + Wealth-inherited-mid]
( {( N) D. L- v1 `* D6 D; q/ T9 Q            [ set color green ) [1 F9 X- W; ^5 Y8 o2 Q5 C
              set age 05 v- G4 o" T$ L% t
              face one-of neighbors4 ) R, {7 l$ `( i+ z2 v$ ~* ~
              set life-expectancy life-expectancy-min +8 D. K1 i/ c% Q
                        random life-expectancy-max  + 2
8 B/ ]( Q! {  Q- s/ ^1 M; n              set metabolism 2 + random metabolism-up
# {( n9 V' ~  C# R4 N              set wealth metabolism + random 30
8 A: H/ f( P; O& J0 Y              set vision 3 + random max-vision. c, v/ j" V7 J/ W) h# ]
              set wealth  wealth + Wealth-inherited-up ] ]
0 S1 x5 u. t: C  r& r9 I0 {( d ' }3 p) \, y; k5 W* {
end7 i4 ?+ p* ~0 q: D
to set-initial-turtle-vars-wealth
& B0 T" o) p2 ^9 g  ? let max-wealth max [wealth] of turtles
" h' ]9 i; O7 X+ E6 y          set age 0
2 x4 A5 t  h0 ^% H          face one-of neighbors4
; j0 S6 [4 M0 o, R. Y          set life-expectancy life-expectancy-min +
8 D; `& _. j  p" S: q                        random life-expectancy-max / o% p$ u+ @' f+ K
          set metabolism 1 + random metabolism-up# m8 @; P0 F/ V' g2 m+ n2 n* I
          set wealth metabolism + random 30* _3 i# j' o- ]2 j; e4 m" h
          set vision 1 + random max-vision
9 q. U. B+ w7 i# @0 rend
  ~, t- y" v7 n! c- h1 D; X) [to redistribution8 L" X$ i/ j" m( Y, @4 x0 n5 Z
let max-wealth max [wealth] of turtles3 V2 k! b3 g/ l3 \0 h5 z0 ~
let min-wealth min [wealth] of turtles
  _9 c( H0 I: k( K9 C4 tif (wealth <= max-wealth / 3)
" g7 Q" p7 W# `9 u7 s4 O  T, F [set wealth  wealth + Low-income-protection ]
/ |* K& H, h! E& A* {4 ?end
. Z* v5 t. {0 b- Y7 C         
; b3 u+ I) W: Zto recolor-turtles+ l' @, J) ]* k( Q4 H
  let max-wealth max [wealth] of turtles
( [% b2 f! H  R1 }( W  ask turtles9 Z( V1 H$ W8 [  @. M) |
   [ ifelse (wealth <= max-wealth / 3)
# X1 V) X7 B3 ]1 `% _: q        [ set color red ]. a. y' R& {8 }1 @1 g9 d% G( R7 ]
        [ ifelse (wealth <= (max-wealth * 2 / 3))
( {' B: H7 ~* g+ k            [ set color yellow ]
/ F. |! G' C; A; i/ `' g0 _  u% ?            [ set color green ] ] ]  L7 L  ]9 j" u
ask turtles [ifelse show-wealth?
5 }% J) b( O" G    [ set label wealth ]
7 G; p( i0 E4 ?* [, I8 X* ]- G    [ set label "" ]]9 W6 H* N* j$ a- C$ d
end
( x( w$ s0 m2 T. [4 S- T! r, u" k' z9 k. ]6 f# Q" y- w
to go
% N9 g7 }6 U8 o3 `) a6 W  ask turtles8 W; K4 O) E( V4 a
    [ turn-towards-grain ]  
* V9 W! @, k& p: _; G  harvest
: N, I' t1 G, H; `" w% `  ask turtles
( n6 ~( ?; J8 _: [5 K8 X    [ move-eat-age-die ], O9 g8 R, i6 g+ B, M
  recolor-turtles
, t4 _' P5 ~3 Y. F" _  if ticks mod grain-growth-interval = 0. b! Q/ Z8 [9 `$ ?) ]
    [ ask patches [ grow-grain ] ]3 q. w: l- y  C) O
     n3 l; }) I3 l
  if ticks mod 11 = 0% y. V  ^3 k. E0 l7 E9 x1 s3 Z; H2 q
  [ask turtles
5 w. M% i$ F: r! i1 K4 T% \, p  [ redistribution ]]
6 i  b4 H, v( @, ?# F+ k9 w8 T8 L" }  if ticks mod 5 = 00 q+ `( n, U! U8 K/ j
   [ask turtles
6 W+ r. _3 g8 }5 H0 o5 J- y) |  [ visions ]]: V/ d" |6 z, q% Y; c+ t( k( |
  tick7 ?5 k: M9 u. K+ }. T# h
  update-plots7 {) D; t+ s0 m6 y
end
  t+ g3 V8 z; X. e* B& pto visions
( ]3 E0 U# `4 p2 ?4 @8 V set vision vision + 1
0 A# H9 B: @0 M$ q8 R. a' Bend
# g7 s4 w+ Q. `4 g
% B, }  s6 v4 X! z  M* x
8 L$ d. ~! S# t8 F2 e7 F# G8 v! z
to turn-towards-grain  
. J9 s) O, ~3 [  e- Q( z4 p  set heading 09 D1 u% E9 w+ i) J( v' B
  let best-direction 0
* A$ p0 @  m, d6 ?  let best-amount grain-ahead7 q1 G8 G; l- F; D$ ?4 k8 S
  set heading 90
2 b2 \5 t, y4 }  if (grain-ahead > best-amount)% \7 ^: L3 l: p6 X
    [ set best-direction 90
4 x4 ^- r% v) h2 N5 {      set best-amount grain-ahead ]
0 W) Q" P0 ~, o  set heading 180
7 o  [% k8 A3 E. ^1 ?  if (grain-ahead > best-amount)
9 W& p  q1 h3 }! J$ N, M    [ set best-direction 180
8 _+ a: k3 c; R9 d      set best-amount grain-ahead ]
. n$ M7 G# X3 ]: Z" A  set heading 270
$ G, O, q3 I5 q1 r7 h5 y, q; b  if (grain-ahead > best-amount)
; j, P& n. a% m$ Y    [ set best-direction 270# z, R9 B, B6 }
      set best-amount grain-ahead ]5 v  R% l/ }# [  ?; g
  set heading best-direction, f; S, |( J+ o( Q
end
2 J  _& b3 s2 s9 [) z  _9 _1 s- F1 p% W/ N- }

% J+ b3 O( b' Z( C% oto-report grain-ahead  
6 Z6 A- I: }- m+ E/ X! F  let total 02 b5 S1 ]  }$ c
  let how-far 1$ f- ~0 `2 z5 F6 A$ F: {/ ^* `
  repeat vision2 X4 F- K1 K  S/ b. w$ H
    [ set total total + [grain-here] of patch-ahead how-far$ u# B  ?1 O& b4 u
      set how-far how-far + 1 ]5 n# v( y, |; ?
  report total. |5 n0 ~9 C! C4 A7 [8 U
end. l- X& D/ M. Q

6 i! y( d4 E! I/ C/ _2 |to grow-grain   Q3 ^, A7 x9 i/ Y7 M7 L& a
  if (grain-here < max-grain-here)
, Z5 h, V- c+ O( H, m0 |! U    [ set grain-here grain-here + num-grain-grown1 @) T; a( t) s1 Y+ p8 G, Q
      if (grain-here > max-grain-here) 2 ]  E% @1 k' h1 K; s8 v% [
        [ set grain-here max-grain-here ]" B# ^# X. ^' H) O# x! m
      recolor-patch ]' p2 h! `% E* Z& B; G
end
1 l$ D7 J7 M) X$ c+ l  O4 Ito harvest5 d5 ]; _+ H$ g+ F3 o) R
  ask turtles
7 R5 e# T* h& ~. ~    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
7 }" X9 U6 ]- J$ h" O  ask turtles
# y; v) x# H4 q5 g    [ set grain-here 0
" x& ?* {. W: ~( I+ D1 Q      recolor-patch ]/ U' j9 O8 ~1 L) H2 j! d7 b
  1 i9 P6 ]! f- J1 `/ F! V% f' ?
end. \4 ^0 C% I) T. Y& Q& v
9 [7 w; g" c2 S9 c
to move-eat-age-die  
# M3 ^: n* K3 z3 h. h, v  fd 1" d* f$ D! ]$ O. Z: E; ?
  set wealth (wealth - metabolism)
6 T% D3 x3 L  V( a: a    set age (age + 1)
' w4 k$ U, l, I0 x2 b0 c  if (age >= life-expectancy)  D8 O5 T; }/ U% \/ l. P/ Z
    [ set-initial-turtle-vars-age ]& T, ^$ D8 u) S
  if (wealth < 0)  b9 u& g: K, H; n' T8 I, `
    [ set-initial-turtle-vars-wealth ]
9 n( v$ d# x5 Q) o& @- n- K   
( d  {' c3 Q& V/ Z. X& d7 U# Y# Iend
6 Y& K$ q+ O3 }. H9 I" B" M: [# B* U

% u% U+ k' I& N6 F. Uto setup-plots
9 C7 s9 G( O! r9 [: y  set-current-plot "Class Plot"4 J6 v+ _$ x7 d% n
  set-plot-y-range 0 num-people
" D# f+ u5 f( _* ?. i  set-current-plot "Class Histogram"
0 u7 D$ E3 X6 g  N/ I* F* p  set-plot-y-range 0 num-people( i. W3 x; J! M' x5 P  R
end
3 P. G: Y* u1 A" V( M) V1 h0 q3 M5 n$ @2 Z
to update-plots
1 e  s+ l1 w: D  update-class-plot
& ]3 C1 D( u6 t6 H% {& p' E, V% Y" H2 V  update-class-histogram) I+ @- t; P% C- C, z
  update-lorenz-and-gini-plots" R* ]1 v& u4 A7 i4 r6 j. C& y
end; \! L; V5 R; {- R5 e% U5 u
) j+ ]0 c% r. _) K3 b- P
to update-class-plot
+ z6 \& V3 i* }: d% {; o0 W  set-current-plot "Class Plot"
2 l# S1 i. u0 W9 h  set-current-plot-pen "low"
( w* [/ I' E, e  plot count turtles with [color = red]
: `; h2 h; u- N8 u# x; ?6 S( t  set-current-plot-pen "mid"! F  e' Q3 S# L
  plot count turtles with [color = yellow]% Y3 _  s/ ?6 s' Z- J  K2 b' G# T% \
  set-current-plot-pen "up"
9 `% }  r$ V( F2 C  plot count turtles with [color = green]7 F/ M9 W4 q0 ^. x
end
" Q$ U1 x! o" y8 ?' B" S7 K9 n! t6 V. D/ k9 f7 [
to update-class-histogram1 v; Y6 o3 W( G; |+ D% r6 r
  set-current-plot "Class Histogram"1 J! u7 s5 _& l' l; |; i- i
  plot-pen-reset7 Y3 X4 P3 o+ p: f* t3 |
  set-plot-pen-color red
" B0 G' U$ ]8 B& A& B6 z  plot count turtles with [color = red]! V; o: I* P4 j/ I% E
  set-plot-pen-color yellow' q* z2 v" k9 L7 C8 \
  plot count turtles with [color = yellow]
& M" S2 U: ?/ n1 Z  set-plot-pen-color green
* N! Z/ T% I+ D3 f5 N6 J  plot count turtles with [color = green]/ Q% `0 ~& j( O/ B
end. |. S% V- A2 W' B. }- J
to update-lorenz-and-gini-plots/ J: [1 y7 f+ T9 h9 M" H+ m
  set-current-plot "Lorenz Curve"( j$ W6 W& O9 }0 u5 @* |
  clear-plot
  j( H: T# ^: F. o1 v, }8 R4 N2 b- ]8 ?5 u/ G8 H' u% ~/ x
  set-current-plot-pen "equal"
; r/ x: k6 C& i) g# t' s  plot 0
0 K. }! Q9 m' G7 n. d; Z  plot 100
- _# u' `) s4 b- T
0 A* l' O8 A% q7 b  set-current-plot-pen "lorenz"; a: r/ \! p+ K: |  W1 I
  set-plot-pen-interval 100 / num-people9 R5 t! V2 _. r; C1 J2 R6 C
  plot 0
$ f  F6 N) o: H, n
% G/ O( J, C& {; X  let sorted-wealths sort [wealth] of turtles. q, N0 n( V$ O
  let total-wealth sum sorted-wealths
7 x9 x' A& i- @5 E  let wealth-sum-so-far 04 q9 ~, g8 i. L" D" `
  let index 0% p. i6 t8 G9 n8 W; k
  let gini-index-reserve 0% n! n! j6 N! u" D- E0 E
3 m% P( a: O; z7 \7 l7 j* [6 V
  repeat num-people [4 |, }3 n4 f  u# {8 v9 H
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)1 `8 c. v4 q% c# Y5 Z7 p
    plot (wealth-sum-so-far / total-wealth) * 100
: [3 c# T* y+ R  H! G: E5 x4 ?7 J! \    set index (index + 1)
1 j4 q1 U7 [1 u    set gini-index-reserve% K3 [, ^9 `- V
      gini-index-reserve +
' l/ t! h1 W  p1 R3 R      (index / num-people) -
3 J" V; H% ~- t- ]7 D* L( ]8 q      (wealth-sum-so-far / total-wealth)
# D. c( z, z. X  ]
% S1 m6 F4 P2 C) v/ p2 u3 @; e! y( V& @( u9 J+ f: Z+ V' ]
  set-current-plot "Gini-Index v. Time"
9 ?0 A. R. T. E4 K( z( T0 m  plot (gini-index-reserve / num-people) / area-of-equality-triangle# S! O* F. h/ h% t2 \( A0 g4 g
end! |% a; R3 F0 K# s. r
to-report area-of-equality-triangle+ @2 t! ~4 ?1 \# D
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)7 `) u  J( a# M* H" r7 K  L+ 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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