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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
( y  i4 @9 o0 w  `" o9 nglobals
- |; Q' D1 m' w[- L- _5 p6 ~) e1 q0 |; O; r
  max-grain    : ?9 [! t/ |( j, M5 ?3 N  B3 M
+ }# k/ g; t8 ?! ~
]; u% W% g) t0 H
  g6 i. k/ G3 J
patches-own
% W- t& w  `" s# j' `[
4 H* f. s/ }. R. B1 s' u  grain-here      
) A. j6 `) d& Z7 d/ M  max-grain-here  9 Q. T: q+ p" r1 Z1 R$ X
]
2 q9 D6 H. C% p& V
& P' Z# Y0 X5 kturtles-own
4 ]* S5 m! E& V! v% @1 [[2 r5 k: J: C) j& U8 O& B" }. a# m
  age              ! V4 o; v* N" t9 \& _+ ~
  wealth         
1 h; o; m1 ^' ^' L! I6 h4 T% i  life-expectancy  
* C1 j! q9 q: u. b! p( \/ k  metabolism       * e# z% \' `2 ~, P" b
  vision
2 V& H) @# g. h8 E/ x  inherited         
0 m9 a. w+ V* l8 T1 r2 t0 O]+ c  _0 H* p: Q* W0 s
0 S6 H# M; t7 M5 u8 b

" H- b8 J, w  [to setup% [/ D, F$ Q% A7 d) j) a, f
  ca8 Q7 ?0 [6 P' |: Y* {' ]
  set max-grain 50% S2 A) E1 B/ Q6 |" [( ^# Z! I% S
  setup-patches( i7 b" h7 O, e* u; B
  setup-turtles, g- Z; w: b# r6 C2 r
  setup-plots
0 k! J! z' g* B- j9 Z% h# I3 q- c  update-plots4 y( X4 T1 c' C
end& N4 F8 e( N# u
to setup-patches
% W: ~  h% c" a9 m" N  ask patches0 b0 F; b, X4 g/ _& ]
    [ set max-grain-here 0) _: Y% v/ g$ ]0 z3 j$ r8 H
      if (random-float 100.0) <= percent-best-land
8 S7 u5 ]- y2 }        [ set max-grain-here max-grain, t. A8 K& k9 Z; v
          set grain-here max-grain-here ] ]
) x/ w- H5 \# Q0 w6 S  repeat 5
- H6 V/ ]0 q1 }% k* X    [ ask patches with [max-grain-here != 0]
5 v6 l# y2 S7 g% b8 e/ ^* V        [ set grain-here max-grain-here ]& s1 B: {# i1 a1 |9 m) U3 v9 W# g
      diffuse grain-here 0.5 ]
1 L/ A: I( F6 H# _0 N# n  repeat 10) v  G+ \4 v" v. n. @* E0 h
    [ diffuse grain-here 0.5]          / L$ o5 m! E  n# _5 i. Q! e
  ask patches
  y9 Z5 h$ A5 Y7 l8 r. h4 f    [ set grain-here floor grain-here    0 t4 G. b# T3 j1 g6 y. r2 X5 {
      set max-grain-here grain-here      - G  z, i9 G5 o, B3 B, Z& g, V
      recolor-patch ]
# t6 w1 D  }5 C/ Uend6 q; m! o. A4 E. m2 r  ]) K
to recolor-patch  ; B- H* P, |/ J) v3 b
  set pcolor scale-color sky grain-here 0 max-grain
! u/ G% q0 f' B& Z) j& bend9 a5 u# }% ]# a* A2 [
to setup-turtles: T5 B  ~$ b7 h
  set-default-shape turtles "person"5 u% Z1 g1 N* ^9 u5 x% v
  crt num-people
/ }  `. P* r" a% A' F. b8 o    [ move-to one-of patches  
7 A5 A& q7 u# D6 V3 Q! t" ~      set size 1.5  
" K0 B' ]% g& j3 L2 b  f. w$ |      set-initial-turtle-vars-age
4 z; P4 {$ K0 m      set-initial-turtle-vars-wealth9 r2 L: D% h' ]. R" e' {, v- w& s$ ?% ^
      set age random life-expectancy ]
4 p& d6 _, i0 o3 n  recolor-turtles
8 V7 e( `4 l# R  v" Iend
0 n; {9 }. P0 `6 a, L/ E& ~+ |% b; F8 h9 X, a" `
to set-initial-turtle-vars-age* v# Z% i* ~1 ~( F9 E9 U( E
let max-wealth max [wealth] of turtles; W4 y6 w( l! {& C, c0 V
   
& @; ~$ F2 ]+ D6 S, C7 v$ O     ifelse (wealth <= max-wealth / 3)
: j0 Z1 C" K" d$ `        [ set color red - W/ J3 N6 ^6 P1 w$ e, y$ b
          set age 0) b8 a4 y2 ~2 ], u0 }% M" ~# u
          face one-of neighbors4
6 J$ l! K; \! N+ j, O7 f9 F- i! n3 ~0 \          set life-expectancy life-expectancy-min +
% [2 O3 R4 p/ r: J& ~2 N" a1 d* M                        random life-expectancy-max 0 U  \% |+ E# J& G- r9 q; G! J
          set metabolism random 1 + metabolism-low
  h  ?  Q) w- s, w5 {0 t' F4 M) D+ V3 S          set wealth metabolism + random 303 h8 ^9 J9 p. H1 U- f
          set vision 1 + random max-vision3 o1 [) q+ Z+ T7 x7 T9 U& ]
             set wealth  wealth +  Wealth-inherited-low ]* G8 q1 v+ Y( D# n' v
        [ ifelse (wealth <= (max-wealth * 2 / 3))% B# y& q" b% W8 V4 _0 e& ^
            [ set color yellow
# a. W& p& a) U, l8 T              set age 0
. c0 h+ A- l, h5 o5 V) g              face one-of neighbors4
# |3 ]1 I( w6 C9 A+ e              set life-expectancy life-expectancy-min +
; g# d+ p6 [( e+ M: L2 b1 @                        random life-expectancy-max + 1' S8 b1 X, |- `5 Y
              set metabolism  1 + random metabolism-mid
/ v+ u4 n, _! @; b2 `) G              set wealth metabolism + random 30+ R9 U2 U) s/ W+ G
              set vision 3 + random max-vision, n$ r! V* E# b  p7 n& ]! F
                set wealth  wealth + Wealth-inherited-mid]
" ~- q+ {# S% K; U. H            [ set color green ' |: R1 f$ Y* I8 ]2 B- c! h
              set age 03 `* X2 r$ Y" K/ C4 u; H1 S
              face one-of neighbors4 ' v' w& \& l( N( @' Z0 Q
              set life-expectancy life-expectancy-min +
( g( r& }+ u" P, q/ d# ?' R( d4 s                        random life-expectancy-max  + 2
! A: ~8 n9 [& o  o# X# C& N              set metabolism 2 + random metabolism-up8 c- y" t& @! V$ v1 T+ u& j
              set wealth metabolism + random 30" u, e, ]" t0 `* M/ U+ S
              set vision 3 + random max-vision) X. q6 k, e9 P7 b9 ~( L" ]
              set wealth  wealth + Wealth-inherited-up ] ]
( @/ c; w$ ?: M 6 {, j2 q* Y" |5 |
end
! l, H) a4 i+ N6 }to set-initial-turtle-vars-wealth
& ~9 D) R' A* M3 q let max-wealth max [wealth] of turtles* _0 ^0 S6 }4 l* ]6 v" j! L
          set age 0
6 I- c5 J# W( U: C" {) k5 y, O! m* g          face one-of neighbors4
# x& X6 w4 ~: N+ c" h  u          set life-expectancy life-expectancy-min +$ q; K, g, t  v! l6 }5 j
                        random life-expectancy-max
' G+ ^+ S( V  B6 j, D4 }          set metabolism 1 + random metabolism-up
8 b+ \4 c" S6 F0 Y          set wealth metabolism + random 30
; n) \! r% Y7 V1 N3 J% z1 |          set vision 1 + random max-vision
6 ^0 y. M5 o* ?  ^end( x; i9 z9 v  A$ {
to redistribution; L+ V6 d7 e, f- w
let max-wealth max [wealth] of turtles- |4 a8 W! u$ P( r3 i
let min-wealth min [wealth] of turtles. C  q( J) J$ `  V; K  q
if (wealth <= max-wealth / 3)
4 y8 t; W( V! u  c. a% R [set wealth  wealth + Low-income-protection ]1 g) g# F' A- ?5 b3 s9 ~" E
end1 E9 B, s# |. M/ T* U* [: a" K4 T- m
          / A% P2 P, h; N8 T  c- W7 C# g
to recolor-turtles6 a3 |5 U, h. f3 ]5 Y% G
  let max-wealth max [wealth] of turtles
; t* h  G* a- r  ask turtles
2 s8 s3 P, ]5 k+ H2 J2 M   [ ifelse (wealth <= max-wealth / 3)
  g# [3 s  M* m7 Q3 E0 B- H        [ set color red ]
- m5 I7 P' F+ q: B        [ ifelse (wealth <= (max-wealth * 2 / 3))) t$ V$ r  ~/ i( k7 o
            [ set color yellow ]
/ j8 r' V' n* K. d! R            [ set color green ] ] ]
) e  F& v5 Q1 ]' \# I ask turtles [ifelse show-wealth?" G; M! a" i: M7 L+ r8 f, e
    [ set label wealth ]! t, r" ]7 p" {: S7 r
    [ set label "" ]]9 o) X" V* g# N: k* A0 m
end
* a0 q0 Z& |+ ^& b  Z
# g' b& _$ }: O( h7 `) Pto go' P- L2 \" ~* p% }7 q
  ask turtles
+ n1 N- U! I) R" [    [ turn-towards-grain ]  
9 x& Q0 q- W6 C1 Z2 @& B3 l% v  harvest8 Z7 J# b5 B, W" d3 |# I9 E) W! O
  ask turtles
# q, ?. C9 v( s3 z1 b. C  H( L    [ move-eat-age-die ]
# T# g+ o% ^2 O, ^$ S7 H  recolor-turtles3 o  Z9 C  I  ]$ f
  if ticks mod grain-growth-interval = 0# v+ ~8 m% a6 f
    [ ask patches [ grow-grain ] ]
- h! X0 T# s  o0 q# ?" g/ d- |   
& @+ y/ O$ B" G1 F& |  if ticks mod 11 = 0
# W6 V  s; @4 D7 F5 ^2 u  [ask turtles& W* R" |7 S- `) B# I/ |" a# Q
  [ redistribution ]]6 R, ]; U" b) f0 f0 @* D2 f- C
  if ticks mod 5 = 0! a; {* t! l, Y+ ~+ w. y2 e
   [ask turtles4 o$ v  U( Y3 b) `& T
  [ visions ]]
' C: {1 Q9 m" r8 f7 n: @  tick
3 L- A. ]5 O! {6 C) P- t  update-plots
: k& a& v5 @' a# p$ C& fend7 |) k& Y, h  B8 `6 ]: u, \. Y7 ]
to visions
2 |* {; n2 n8 l2 y8 ` set vision vision + 1 2 _8 p! R! G2 m! c! x, d$ D
end6 t7 a: K  y7 y) e% q

3 X& Q, c5 p: s# S  K
/ E) {* i* c/ t5 u9 K. R$ V4 Q$ b0 j- Y
to turn-towards-grain  
/ P5 S! _, P2 c3 Q" Q  set heading 07 B7 u! v" q* s1 t; J, Z
  let best-direction 02 J# C7 o: }$ X  i6 D, \
  let best-amount grain-ahead  v. L* L7 i! |1 D
  set heading 90
% B8 H/ o9 W- }% h7 Z  if (grain-ahead > best-amount)$ T5 R: ~/ Q" n, _. g, ]
    [ set best-direction 90( \2 g; F( ~+ P! V6 M$ K) g
      set best-amount grain-ahead ]! ]% k6 c: o) Y, n
  set heading 1805 Q" o6 {# o. P7 v' S
  if (grain-ahead > best-amount)% q  R# d! p- O! \. r+ S
    [ set best-direction 180
, y/ e9 K! ?9 C      set best-amount grain-ahead ]6 A- Y, S5 \/ M
  set heading 2708 t% A# I2 L- p. W. k
  if (grain-ahead > best-amount)
; s4 f& [: i$ J3 K8 q    [ set best-direction 270
, r; `. y/ T: {7 k0 w      set best-amount grain-ahead ]+ Q# {0 N' c4 s  y5 R
  set heading best-direction
! S7 A$ a$ R. a3 P5 Y# Jend/ e- B$ U6 x0 [( Z! Z: x! M: @" k" q
1 L: A* S4 j1 A! X* P
1 H6 O; J7 [3 P0 f
to-report grain-ahead  # S8 N3 `) I: U: [
  let total 0
5 p) S# c  F$ q; v+ x& r  let how-far 1
# x- N8 ?+ }. q' o. A  repeat vision
- R4 y, e: J, w, ?0 j( E    [ set total total + [grain-here] of patch-ahead how-far
) G* ]8 E+ x: i5 d8 }      set how-far how-far + 1 ]# N- F5 l2 \# `- e3 V1 F* e
  report total6 L+ l! u4 k' L/ Z$ U2 ]: F
end' q. L3 {+ T$ E/ f* k' h  Y/ ~& r% A6 P' l
7 `6 l1 |2 g6 u+ _# g/ K2 n
to grow-grain
9 m$ ~" z! d& h; `. @: ^! C3 E% }  if (grain-here < max-grain-here)
% h( S! l& C# r; c    [ set grain-here grain-here + num-grain-grown( S  {: Y1 `. S* \" y
      if (grain-here > max-grain-here)
$ ?& G4 y0 z; w9 K- Z! t        [ set grain-here max-grain-here ]& O$ w) s4 @- b3 M( H# l
      recolor-patch ]( y  Q9 U9 J7 J5 n# K
end
& q& @+ M. c( Dto harvest
& q* [; @8 ~1 N1 ?/ e  ask turtles
. D/ c1 b' Q" P" x# l1 V" o    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 s; t# |8 s: W$ M  F9 g8 q
  ask turtles6 o6 S4 ~* i! h
    [ set grain-here 0% X6 r0 b( I% S9 Y6 M
      recolor-patch ]8 a+ }' f* }1 {# z6 q) o
  3 S) D9 `4 ^& P& Q# K! _2 r
end  V! k* y" l8 H3 r
% r3 i1 H  K2 m! d+ s- a$ z& [
to move-eat-age-die  ' y% k& f! v4 s
  fd 1
  `+ m$ ]- c4 k+ K+ L  set wealth (wealth - metabolism)
# E, i+ [8 ^8 q; d9 u    set age (age + 1)
1 `/ O( ~) E( X& `" Q  if (age >= life-expectancy)
& I1 N" a" B* Z# Y    [ set-initial-turtle-vars-age ]. z8 g6 L# y+ @# o
  if (wealth < 0)7 G$ h7 W' Q2 ^5 @: i' x
    [ set-initial-turtle-vars-wealth ]7 E0 @5 U( F$ `8 [9 ~& j
    * w) F7 n/ }9 g1 m8 F0 a# w
end2 j# N$ n7 H2 p% a

# x* j/ s4 }/ |  b8 i# T* o" ]: p; v8 C- O8 g* L
to setup-plots
$ @! b3 m( _3 M2 ^  set-current-plot "Class Plot"
: ~0 Z# q* v/ P1 ~$ A9 b5 S  set-plot-y-range 0 num-people, G) k/ K6 m# W$ ]/ I- V
  set-current-plot "Class Histogram"1 `* w/ i9 ]+ r+ R  p. z
  set-plot-y-range 0 num-people% d5 @# p# f6 s
end
/ P9 T" t" @* Y: \/ z% p, H8 d# z- W* U5 ^9 Q% e
to update-plots: `9 c5 g1 f- B* D( v
  update-class-plot
* N8 i6 Q2 K" y2 g  update-class-histogram
1 L4 X8 S: ^+ q1 n! R  update-lorenz-and-gini-plots) e. ~! k: C2 R5 A( ]; t4 L, |
end
! A" ]& f( ]' `% T
/ ?# F1 H; I; Hto update-class-plot, u/ z4 l5 A% D, X, O+ ^% Y
  set-current-plot "Class Plot"
, l1 o' D! n; t, T4 C$ {5 ^  set-current-plot-pen "low"
& z' Y. c- @3 n; O* z  plot count turtles with [color = red]5 b" F" D% v, T7 S% `: P
  set-current-plot-pen "mid"4 x5 o: H/ K2 t# W9 l
  plot count turtles with [color = yellow]
# J( n: o1 Q* B- U0 O% z  set-current-plot-pen "up"; H7 I. n1 x' c* M" `( w6 B7 a
  plot count turtles with [color = green]
, n1 n3 N. [, U% O6 x8 @end
' M) s; u: B; i7 @& n* @9 Q$ F- J
to update-class-histogram
# o2 k+ i. p& u9 X! q$ I; }  set-current-plot "Class Histogram"
) V; E5 k' V+ \$ [: [  plot-pen-reset
' N$ ~5 B! k* k7 Q+ w+ Q+ x  set-plot-pen-color red
! Z3 Y. }: ~; I  plot count turtles with [color = red]
2 j. ^4 m7 Q) v3 O' q) d5 n  set-plot-pen-color yellow2 f/ I; k$ U1 n- E1 ?  l
  plot count turtles with [color = yellow]
% V; R' K% N) `4 C( B+ B8 f0 R  set-plot-pen-color green; M- |7 Y( A6 ?" F
  plot count turtles with [color = green]
4 l  [6 Y% K8 X0 b! c: @0 P" w. ~end
2 _8 ~3 i: D* |% D' oto update-lorenz-and-gini-plots' r0 B' V3 f# M% S% M  ?1 h- I
  set-current-plot "Lorenz Curve"
0 K$ K) ^5 o9 H; H4 w  l1 [  clear-plot
: P( s. H4 u* x+ C# y# }: n- m6 h
8 k/ o' K, q3 _3 C  set-current-plot-pen "equal"+ E* V! _% \+ m$ U
  plot 0
: n3 O+ u( I- {; m& R3 `  plot 100
( A& I+ H) m; m: w5 O5 y% @+ q2 m
- K) E- X; w6 A& c  r) o  set-current-plot-pen "lorenz"" }# U- [4 ^+ a9 U/ g' f$ ?9 ]0 N
  set-plot-pen-interval 100 / num-people
+ y! k0 `. Y, B- [" H  plot 01 _& V$ W; D  l3 n; X9 k; g7 |

8 U/ z& x5 T4 V0 z; @0 {  let sorted-wealths sort [wealth] of turtles; E' M( r+ ~$ o
  let total-wealth sum sorted-wealths
- E7 b: {! B* ~2 Z  let wealth-sum-so-far 07 p! T' B# F- i; X6 O& s
  let index 0
. {  ?# f2 u* w  let gini-index-reserve 06 s5 Z, ]7 a' d

+ V6 \% F5 R8 `  repeat num-people [
3 ]) h& l% Z7 C4 b- m    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)9 |- u" `2 {7 G9 y9 p
    plot (wealth-sum-so-far / total-wealth) * 100
. Z) t* E1 t2 y+ p6 R9 J, Y0 H# q    set index (index + 1)
* r. T1 T6 ?3 l+ b  ?9 W/ w6 K    set gini-index-reserve. k8 u+ c, m* G5 h) ^8 I& z1 r
      gini-index-reserve +" G8 D0 r; t$ U: W6 K& [6 l
      (index / num-people) -
- i. o7 D( H. ]4 p      (wealth-sum-so-far / total-wealth)# g# Z- G4 B* ?1 R' U8 }' R- C7 \/ O
  ]
7 m$ B% q% |- K& G6 S. U) v5 r& ?5 k% H" D; |! j$ H5 z1 X# J
  set-current-plot "Gini-Index v. Time", V, m- k/ Z5 ~! x* T. c
  plot (gini-index-reserve / num-people) / area-of-equality-triangle2 t; g5 x6 N6 v! M: T( E3 L
end
) _, T8 N( i, \: v3 C2 p5 n8 M! ]to-report area-of-equality-triangle
' x) k! |% E6 ]" O' o/ b9 {, d  report (num-people * (num-people - 1) / 2) / (num-people ^ 2), `- N) S9 x6 o3 M' E8 ^6 r/ K
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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