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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
! |% A+ {' r) W$ vglobals0 Q: l/ y6 Y; Z' w* h3 K& ?" I
[
1 T; O3 C: _5 a# C# Q: Y  max-grain   
! d9 i* q! H- f3 g( ?$ H; n  z, {5 H7 p9 a, d5 g
]- E* I3 g% t+ l6 ~9 d7 P3 a$ `5 A! L

" A6 [3 |/ E( n' apatches-own
. A, |+ c. H! e. y( D  ^) g[
& ^, a# H) v! c+ C! N: v  grain-here      ! [+ u3 L: l9 L; e& f- l
  max-grain-here  
% M) m6 q2 C  t$ P; H. c/ f4 ~  L$ \]: D5 c3 T8 T& {7 U' u
7 }* U2 l! z- |2 g
turtles-own( z$ J8 U+ Q+ s* h' Y8 U
[- i3 o6 Y/ h5 `* k2 C" d4 @
  age              
: d' b! M9 d2 V  wealth         7 |! H- v; a4 g% E* W/ `! k# m6 x/ ?
  life-expectancy  0 G( e) O% X* l2 R" N5 e3 v
  metabolism       ) ^0 V2 k8 z( z8 i
  vision: q1 h7 u7 s, f! W4 L* g3 q
  inherited         
1 h5 @3 G; U# `1 O4 B]1 \, z  E! x7 k( G  A# \2 g

: `/ n. i: h+ e: N
0 t5 {  o/ _4 m3 \9 Jto setup
! d: @+ |! ]; q! I9 N  ca& Y% Y* ~4 h# M  {+ x
  set max-grain 50
1 K% U4 j( e5 C; U9 ^+ N# Y  setup-patches
/ l4 `- W8 }8 \: w4 d  setup-turtles* y' J5 Z+ Q8 O1 P9 I, }
  setup-plots
1 l5 b. J: E. s- N9 K  update-plots
& E3 ^7 k( k' P- E* U9 _- eend5 i6 V8 ~1 ^- A( b
to setup-patches
. p( @! l# `* e1 k+ `: a2 R1 u2 F  ask patches" U: x" b0 P5 z8 }/ {3 {* @
    [ set max-grain-here 0+ Z9 b$ D8 u" k
      if (random-float 100.0) <= percent-best-land
4 n/ f) `% T" o2 Z. m9 V' f        [ set max-grain-here max-grain8 o3 _/ u. t! n
          set grain-here max-grain-here ] ]
& k1 l' s  R: T+ i  repeat 5
2 \# h0 j4 @6 [    [ ask patches with [max-grain-here != 0]' C; x9 }# \9 j! z7 `4 B! V# C- c) i- ^
        [ set grain-here max-grain-here ]- b7 K% O5 r5 |
      diffuse grain-here 0.5 ]1 E& q2 o( Z2 n" d8 f5 G% _) v. s7 a
  repeat 10
! H* N$ R' J1 A    [ diffuse grain-here 0.5]          $ b/ G9 _2 G2 e) e' r
  ask patches
2 u7 n6 ^+ |- Z6 K4 {8 B0 J1 a    [ set grain-here floor grain-here    % y0 M! l% B$ ?& p' R
      set max-grain-here grain-here        F( X1 a( C9 a+ c5 k% b, N4 f& G' y
      recolor-patch ]
3 W5 d+ E7 S5 g2 D$ j0 @" [end* |( k6 T3 j7 U! i* c
to recolor-patch  
9 A3 Q, q: I9 \# A8 l- V' a  set pcolor scale-color sky grain-here 0 max-grain2 T) D6 W. T( A, C7 _1 O
end; {) S) {) u9 X4 C9 {  k% B
to setup-turtles1 _  D" a. N' v; ~# i
  set-default-shape turtles "person"( `5 _+ g* k! C' M+ K! ~
  crt num-people
: X9 R5 k0 R) ]! O4 I; V8 q    [ move-to one-of patches  " I, I- z+ S: N
      set size 1.5  
% {- N! X6 F, }- r. j/ }8 @      set-initial-turtle-vars-age
( q8 G  m( P6 \+ V( F% K$ X3 R: e! {      set-initial-turtle-vars-wealth# y1 R- |3 v0 q, t$ S; F
      set age random life-expectancy ]
4 L/ _8 o/ K2 p* f4 ~- A: i  recolor-turtles
! V$ J: B, T! jend: F# t' `) B. p

6 `  I) x1 e+ O, ?0 T6 X; qto set-initial-turtle-vars-age5 s* W* }  E, [
let max-wealth max [wealth] of turtles
( p# B$ O- @6 p: U. `   
; `. r: |4 s& m* e4 \$ h3 a     ifelse (wealth <= max-wealth / 3)
( D2 ]3 T; ?. ]0 N        [ set color red
# Y6 U3 L  N3 n3 \) \" J0 @          set age 0
; s. `: l. b; ~8 d! N& }          face one-of neighbors4 ( H2 l$ H3 W& u, R2 n
          set life-expectancy life-expectancy-min +
' s4 g. t. S5 A6 e1 _; b5 H                        random life-expectancy-max ' h2 u, v2 n3 V( {
          set metabolism random 1 + metabolism-low8 w; c" `- q' ^% s9 j+ X' k
          set wealth metabolism + random 30
: a' V( ?# U) f0 [          set vision 1 + random max-vision
" x8 y, D- `: a2 [  @             set wealth  wealth +  Wealth-inherited-low ]
- _1 S+ \1 ]: I7 H        [ ifelse (wealth <= (max-wealth * 2 / 3))- l" g6 ~8 A+ H/ B2 R6 ~3 K; Z
            [ set color yellow
* M1 f. `, U1 i$ h6 l* s8 d              set age 0
: G" p0 ^  J( \4 t5 v& J5 b              face one-of neighbors4 1 ]' G# m) w8 _) y% j* ^
              set life-expectancy life-expectancy-min +1 E8 J5 Q/ f: N5 T
                        random life-expectancy-max + 1
0 l" O4 H/ J" e" {) g( I  Y/ N              set metabolism  1 + random metabolism-mid7 A6 t7 H6 q6 v
              set wealth metabolism + random 30
, _$ ^" {- N" v9 Q              set vision 3 + random max-vision2 F, d5 _( X$ _0 T
                set wealth  wealth + Wealth-inherited-mid]
+ ?+ v* y) H4 {+ U3 ?            [ set color green 5 U, k7 f( ]% m8 J
              set age 0
8 i+ c8 l7 ^& o5 _6 |              face one-of neighbors4
* e4 o" O: I% S/ \              set life-expectancy life-expectancy-min +
9 E# \+ w5 |' x- k! K& k# `                        random life-expectancy-max  + 2
6 M1 E. [( ?* m, a  u  f- z* B% x' I% P              set metabolism 2 + random metabolism-up: w1 U. P* U% ~5 [
              set wealth metabolism + random 30
' D  Q5 g" S; g6 u% ]$ A) T& X$ Q              set vision 3 + random max-vision
% m& g8 K- }9 ^0 ^5 `              set wealth  wealth + Wealth-inherited-up ] ]
! W$ L) F5 C! ?0 \# e- j) f" Q
  r) h+ a, q8 N# G- c  eend# ^1 z$ E+ N0 x$ W5 G
to set-initial-turtle-vars-wealth
9 [' b. \+ z- w) ^8 z/ ^ let max-wealth max [wealth] of turtles4 t! |$ X4 b7 p( K# Q4 m
          set age 0* h) u6 g. X. {- u
          face one-of neighbors4 4 U( P5 Y; o/ u9 ^* l
          set life-expectancy life-expectancy-min +
# p0 Q5 ^) X# Q3 ?# ]                        random life-expectancy-max 9 T) v1 a5 C( h& E) G2 s1 c! [
          set metabolism 1 + random metabolism-up" t4 X! V5 F# |" p! T; j
          set wealth metabolism + random 30
$ V) z9 m4 U* Z) P, i( N& x. P! y          set vision 1 + random max-vision
. P$ y4 m2 x( Q9 ?* hend
% @2 \( e! G. F- qto redistribution
" e: I2 Y4 A( X9 alet max-wealth max [wealth] of turtles7 }$ l1 f) ]& j
let min-wealth min [wealth] of turtles
. l8 n& W4 i. Y4 A* R6 iif (wealth <= max-wealth / 3)
& a8 g4 O' t8 x' k- e3 X [set wealth  wealth + Low-income-protection ]
( M/ k: K2 G6 j, I  J( Z7 s( u9 X  mend
8 S1 F: f0 i# c6 _* r7 B! K         
0 Q9 O* s. u' t- M' W7 U) ~* Bto recolor-turtles
! H- z% V* V8 ^1 t( i/ T6 g$ B2 b$ `  let max-wealth max [wealth] of turtles1 t7 d: F" y) G6 K
  ask turtles# ]8 w1 X' [0 r
   [ ifelse (wealth <= max-wealth / 3)
) A3 @! ?* J/ S" U9 A2 g        [ set color red ]
8 D, X  x1 e/ C" l" Y; h, e        [ ifelse (wealth <= (max-wealth * 2 / 3))0 U$ R* E3 {& ?9 k2 }) m0 K
            [ set color yellow ]
: |+ O7 U, C8 E+ q! V  R: z0 U! B            [ set color green ] ] ]: j3 {8 c0 E: I. {
ask turtles [ifelse show-wealth?
# m- z1 c2 J4 ]4 _! B; x    [ set label wealth ]
* e  D( O% B1 ]( k$ v    [ set label "" ]]" n9 U( o9 F! e& l0 u! j) B
end9 _& u3 Y* E' z; z
# f' F* O% C& Z+ M6 Z, Y" \& A
to go
( N2 u9 Y7 y  j6 W: c  ask turtles9 [, {; _8 m  b* s5 }3 Z
    [ turn-towards-grain ]  9 @/ ]; Q  f; t; S( ~
  harvest
3 D8 o9 f# r+ D& }* Q  ask turtles
: Q3 v3 N- E* M( n: _  v3 Z% b    [ move-eat-age-die ]9 T+ n, ~  X3 a& @# Y) f- I: Q
  recolor-turtles
1 t& r) C  q$ e0 P( \  if ticks mod grain-growth-interval = 0
$ c! Q! a+ M  A& b. z    [ ask patches [ grow-grain ] ]
" T7 Q' X0 X: k6 A( n5 T6 P   ! d1 A* z& Y/ i7 `5 t
  if ticks mod 11 = 0
2 ?$ i) w: Z& Y4 |5 r5 p( V; F  [ask turtles4 ^/ Q1 M9 l' ^) |5 H
  [ redistribution ]]
3 M" @8 y" T( Y( C: [) K- @  if ticks mod 5 = 0
+ H% k% C+ d2 U2 ]   [ask turtles
0 t% V* Z; @! C7 A  [ visions ]]
& H! }( y1 L0 J8 D) U, y( l2 @8 Q" Q  tick
5 x5 \; ?+ k7 V( m. D% Q6 G  update-plots" t3 u0 U: b+ k5 e! s) N
end* I/ @) ]4 }1 U5 e  ~
to visions* u3 p! W$ U7 l6 Q
set vision vision + 1 1 @$ v1 [* M* D* p+ A8 _
end/ u" {3 F8 O5 n" r
( q) f/ C' j  c" O6 @
$ |3 R  a3 L9 d- H5 V

7 F2 L. t' o& |4 Eto turn-towards-grain  
$ q6 V) D) ]1 G. c7 Q1 q- y  set heading 0
' v9 e- x! ?2 L9 M$ f: X0 [! |3 A  let best-direction 0
8 x! k( L+ S+ b, U  let best-amount grain-ahead3 L( J3 U& n9 u. e. i. `" V& I
  set heading 90+ e- S( g5 n* m* ?: M4 l
  if (grain-ahead > best-amount)( u0 y  l5 S6 p: z2 z
    [ set best-direction 907 P% r& O1 J; H3 y/ d, H
      set best-amount grain-ahead ]. F+ ~' V! D( z8 t1 h1 {
  set heading 180
8 A) e* B8 `" u1 r. y  if (grain-ahead > best-amount)
9 u* b6 Z+ }  t4 u" b    [ set best-direction 180
: N3 U' r( y2 }1 K$ t      set best-amount grain-ahead ]/ y9 e' X1 E- N! ~5 a3 C8 f
  set heading 270
/ A, _7 ]5 w0 I( l0 p5 ?% c  if (grain-ahead > best-amount)' ~5 G: X9 h  `  B  b/ V
    [ set best-direction 270  B/ @8 x  C+ C  e
      set best-amount grain-ahead ]$ B# H4 S3 p+ o- n4 o( D
  set heading best-direction
2 t7 K5 f8 h+ H( r' f6 J2 Pend  p6 B! y% O9 O( w4 N6 q
8 X; N( e/ g4 x

1 U* N. |. \+ o* D( Y- [to-report grain-ahead  # _) N% C( N  V
  let total 0
2 [5 f6 F; {/ b8 `( i  G  let how-far 14 E  w% z, i# A# l* x8 q2 F
  repeat vision
, G1 g) D# e& |- J    [ set total total + [grain-here] of patch-ahead how-far/ K" O8 W$ V8 h
      set how-far how-far + 1 ]3 n5 x: q" M' O+ Y: ]* x2 {
  report total& }$ W. v8 i4 I% P  ~* \
end: h  F; E, T: v+ F0 q8 S( m$ k

$ U0 z3 x6 i* kto grow-grain & [7 E; T; ~4 W& f2 L
  if (grain-here < max-grain-here); ^4 n6 e% m+ y4 B7 Y9 p
    [ set grain-here grain-here + num-grain-grown
$ A0 t. }, R6 W5 T: n$ l2 M5 O      if (grain-here > max-grain-here)
& G: B1 {$ l: r1 i) q  W        [ set grain-here max-grain-here ]
- C' {$ t2 g  S! \! m) ?      recolor-patch ]
' U# F6 w. I: e, f, Q* \end
: y0 n, Q! [4 d' A" M1 tto harvest
8 m2 h! k0 D  j, X5 f/ q1 [  ask turtles
( |- l2 f. l9 |1 K! i    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: w- p7 K* q2 N" R; i+ F
  ask turtles
5 Y. @) [. E: E6 |5 Y8 v/ C. {8 X    [ set grain-here 0# m8 ~/ D3 X. D8 P7 m
      recolor-patch ]
! E! C8 @5 b4 g" H- S" A' K$ ~  f  * t9 n1 \0 G+ e5 y9 Y" Z9 ]; t5 C& {6 n
end
7 P2 O- w% r2 F+ R* Q5 [& j. p9 b. n- v; }4 o/ k
to move-eat-age-die  
; r# I1 y9 p( y  fd 1; v* G% m$ z% \" O
  set wealth (wealth - metabolism)3 v7 |! J1 e- l' I) ]6 Y
    set age (age + 1)- d/ ]3 t  g% n' r  l! [
  if (age >= life-expectancy)
  Y  `. p. i7 |( R6 j& ], b    [ set-initial-turtle-vars-age ]
& @( f5 k, ~5 h  [+ U  if (wealth < 0)& ~2 {. I+ _' l5 Q' R/ i0 d" ?
    [ set-initial-turtle-vars-wealth ]" O: I$ B* B8 b2 U
   
3 N: h: y" b5 r$ a! W1 l6 [end( @. U0 _/ M& D+ ]% r  X3 _

* n& |" H! P1 Q) X/ U+ |, h- O; d
to setup-plots4 K- Q  m  s4 f, y
  set-current-plot "Class Plot"
3 v% d/ O9 ]) L* A+ n- |  set-plot-y-range 0 num-people7 V3 ^( I) y6 Y4 o
  set-current-plot "Class Histogram"
7 n% u( Q# b- C5 _1 Q2 F3 |  set-plot-y-range 0 num-people2 X7 b5 N$ z6 k2 J' G& b
end
1 f* u5 D7 {5 M2 g7 F. W: F! H# ?7 a# H& X
to update-plots& w0 W" u* G  I) ]* J5 O- d
  update-class-plot$ g, g& X: _% `5 A) Q$ e1 v
  update-class-histogram4 x( R4 O$ S3 w, w! m; U; b
  update-lorenz-and-gini-plots% H) ^9 `, |  W9 O" C2 x
end
/ b* f2 m* D3 r" z9 q2 w# v" U) n- [* I" y
to update-class-plot
; U" O' F( }" m% e% @% |  set-current-plot "Class Plot"% s( }; ?* I4 y
  set-current-plot-pen "low"
( a0 b% N) _. |0 m7 {  plot count turtles with [color = red]
% [3 x, N& K$ [, |* |  set-current-plot-pen "mid"
, @+ N) G" P' _6 s; T* C6 D  plot count turtles with [color = yellow]9 P! W9 j' T, p; s: p/ y
  set-current-plot-pen "up"
# f7 [" \& @% X9 ], m  plot count turtles with [color = green]3 E8 l0 h5 P& L+ W4 ?
end
! O6 f2 |; g- `6 B5 H6 q: ^; w4 i8 P/ m' a8 f" B) B9 d
to update-class-histogram
  t( ^3 F5 {" w9 @" p; w, F  set-current-plot "Class Histogram"
( I  i0 t" W/ g- X* B# J  plot-pen-reset& W4 {% k- X( Y- d2 F
  set-plot-pen-color red
3 p5 g; D- L0 e* _! S  plot count turtles with [color = red]
$ u" k7 B; W: m0 h5 h" P0 z3 S0 N1 ^  set-plot-pen-color yellow
: o; `4 Y3 D9 \* ]7 z$ O6 P# y  plot count turtles with [color = yellow]6 o# X3 f8 ?) l4 C2 b3 j
  set-plot-pen-color green; {0 c$ Y% N- O- A6 @9 w
  plot count turtles with [color = green]' [' Q6 q8 w+ f' y
end3 U& f6 n/ E/ K' a; N8 S
to update-lorenz-and-gini-plots
9 F% t6 V# \: ?6 R, _  set-current-plot "Lorenz Curve"
" `; A$ m5 B+ X% A" e  clear-plot
5 p& [/ S' e' V
/ N8 b/ i# L5 a- J- {  set-current-plot-pen "equal"
  F- `: r# A  V( {  plot 0
8 e( K2 d4 e. F4 i( m" v  plot 1006 X! E# a4 Z6 r& ^  b

) }) O7 p6 j2 x: p& x$ K) ]0 ]% }  set-current-plot-pen "lorenz"
) ?5 b9 `1 Q9 q* u8 R1 y. L- c  set-plot-pen-interval 100 / num-people
) a6 R# }) J& c' ?! A2 p  plot 0
4 o" M% g$ Y! T( D! o2 L4 w! W/ t
  let sorted-wealths sort [wealth] of turtles
3 v# m: f# {8 I; m& T: i  let total-wealth sum sorted-wealths+ S* m& s  h& E* X& E, Y7 k
  let wealth-sum-so-far 0
% P- W' x. e4 U* |: \- W0 s: ^/ _  let index 0" F$ y- h! F4 M% w7 {
  let gini-index-reserve 04 p: B$ q- p4 x9 m* F0 h( s% b4 K
# O9 b6 ?# ]$ f& a& D& ?
  repeat num-people [2 b, T8 P2 ]6 X' @5 X9 ?* i$ z
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)  T% V; H0 i: ]* r5 u
    plot (wealth-sum-so-far / total-wealth) * 100- g( u$ C7 p, j
    set index (index + 1)( I( s# N$ d3 P3 Q$ g
    set gini-index-reserve
7 E8 O( X! @: U7 `5 q: j- y1 F      gini-index-reserve +
  h! w- @/ t9 u4 r* V4 H. Y+ J      (index / num-people) -! L# ?& L, D$ D0 B
      (wealth-sum-so-far / total-wealth)7 k( z- T" b; N' X
  ]
5 u0 Q& Z) Y; P0 o
; L  |/ b8 D3 T  set-current-plot "Gini-Index v. Time"+ i' F; N1 @# X) K0 T6 a
  plot (gini-index-reserve / num-people) / area-of-equality-triangle$ }1 d# a) N; `8 t$ L& F
end
+ a/ e: v# S: M& x& b& c* V% ?to-report area-of-equality-triangle
$ T4 [0 r# n/ ~# [) D+ w* [  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
. h% t0 A% t% Z, C4 kend
 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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