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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# ]- i9 \' B  [9 }
globals, z3 _. g* D) ?" G
[7 p0 D0 F* Z) r
  max-grain    - M) c% Y) r8 X/ X, a6 K3 C& u

$ y% {; ]/ b1 k1 O* R( r: _: O* ?1 s]
2 V% T( w+ {1 s, Y+ x, A1 H+ ?4 m3 V+ i
patches-own- |! @$ z" G7 v6 f4 V' [
[  d( \% G9 S' r7 G/ V
  grain-here      & k8 V0 {$ I& [" Y, @( C5 o
  max-grain-here  
3 s* r- j. r% w+ h% ^3 m! Z]
2 o( k9 _( ~% ?0 s6 @# D. H8 |' T8 b* M
turtles-own0 k& K" w3 Q% g/ K
[
, i4 s. A9 a8 r. s2 h+ s2 G  age              
1 X# m* _( b, ~9 \1 B( t  wealth         ' b3 a9 B6 b$ o/ q
  life-expectancy  
& u& I7 ?& ~& v2 d" _9 P3 T  metabolism      
4 v% e/ k8 ^; H8 g+ d/ L, m  vision
9 `4 J$ ?4 g, R5 x6 p7 Z  inherited         % }& e3 O( i! d1 K( ]  N
]3 |. b' g6 c2 r; r& o, h
! i$ j, R) O; O% T$ M7 t
; p: B& l- b, s  c# M% n
to setup: r8 M2 `2 E2 O: Z: y0 D; z
  ca% ?6 d) O7 y& I* {/ X
  set max-grain 50
3 _6 p' H- Q9 X, ^% j8 h  setup-patches
: s4 A7 X, g! I/ y2 e. i, c  t  setup-turtles
& J1 K4 x1 _" \, S0 Y. M  setup-plots' `+ G  e! J2 r8 d8 F0 ?
  update-plots* T5 H$ W4 _8 c  A) F
end1 S8 X; a; A; }; x1 X) y
to setup-patches
2 z( b$ |5 F! P7 c  ask patches
" }9 U7 y4 \7 R    [ set max-grain-here 0
) R5 B4 H/ O3 A: W! w      if (random-float 100.0) <= percent-best-land
. G2 P" r; N9 N! ]1 P        [ set max-grain-here max-grain% s8 d3 U4 v/ I+ O' L4 L9 f# }8 |
          set grain-here max-grain-here ] ]' g% _8 j# Z7 b3 x" O8 ^6 i
  repeat 5
4 q& b; c# a; m2 |9 k    [ ask patches with [max-grain-here != 0]
$ e3 F) g2 z3 d1 Q  ]* }        [ set grain-here max-grain-here ]
1 Y. r1 [* {1 T      diffuse grain-here 0.5 ]
. [* S2 F( K8 b8 i; D8 a: B8 U  repeat 10( R" E, n( I2 e9 i/ f+ u1 F
    [ diffuse grain-here 0.5]         
3 H1 z+ n# T4 r0 p; a3 t0 I- T+ z# `  ask patches
. Y( Q& g& B7 e0 J: s% G    [ set grain-here floor grain-here    * {6 T# Q" H* Q: H+ w5 y
      set max-grain-here grain-here      2 S8 o3 J( G/ ~' h3 Y8 h" M; y, U+ j
      recolor-patch ]
9 N) ?8 Z) [$ ^* s5 c; O) n. Mend
, _" D' I# e7 o& g0 i# Rto recolor-patch  * I1 }# P& [. B* L" ?2 g6 Q
  set pcolor scale-color sky grain-here 0 max-grain
2 s$ ^1 Z7 F% v8 yend1 F* S8 R# G3 I# g% y9 X; J
to setup-turtles4 G; K, y9 t6 @7 r  K
  set-default-shape turtles "person"8 `7 T0 }0 {9 H  p7 |0 c
  crt num-people
, N$ N# b3 y3 M) ?- |    [ move-to one-of patches  2 }7 {! |1 ~- L/ `
      set size 1.5  + r, z. S& o0 V" Z
      set-initial-turtle-vars-age; \3 [. l( g& x
      set-initial-turtle-vars-wealth7 y9 U$ e; I+ q
      set age random life-expectancy ]
4 ~1 _1 t% R7 }+ P: R0 x  recolor-turtles1 |/ B3 t/ D- m6 ]4 }
end
  m) g- a  C  g/ l; D9 k
7 Z( j  V$ F* |, F' s: i! `to set-initial-turtle-vars-age
1 `1 C5 O0 b9 @' U/ Z! [9 T let max-wealth max [wealth] of turtles
& J' u9 F1 E5 H% M: t; ]; p    ! f9 Z0 Z, C7 ?4 X$ ~( S, e
     ifelse (wealth <= max-wealth / 3)" u! B# y' b# Y; t8 p
        [ set color red
) p8 g) U3 P, a/ `3 e          set age 0; {( ~6 C; x7 o* f
          face one-of neighbors4
+ E' c( s" W3 y          set life-expectancy life-expectancy-min +5 l; \; v1 j5 l8 d& J8 f' w+ E- y. K* x
                        random life-expectancy-max
3 |7 `) J+ E) A+ q: \7 I- P2 X          set metabolism random 1 + metabolism-low8 h% Z7 i( v3 N8 g/ |4 Z; h
          set wealth metabolism + random 30' W6 c% [9 }; f* ~" j5 m
          set vision 1 + random max-vision
/ |; J9 |+ _& _" [             set wealth  wealth +  Wealth-inherited-low ]: C) u+ b, @2 ?5 i  d+ @7 l
        [ ifelse (wealth <= (max-wealth * 2 / 3))  `; S) i: o5 E4 `1 F$ k- Y) ]
            [ set color yellow
1 f6 r- \/ z6 q7 ?; q' k/ y9 H+ Y              set age 0
4 e$ y7 d8 r' J, z              face one-of neighbors4 % s3 b2 j" G6 k
              set life-expectancy life-expectancy-min ++ d! M) J+ H1 M  o9 m
                        random life-expectancy-max + 1
, J* j. }9 @+ p" o" T              set metabolism  1 + random metabolism-mid8 j/ \( B* Z6 l/ \
              set wealth metabolism + random 30. w- q# f4 F* @1 z: N3 A
              set vision 3 + random max-vision
3 R3 }$ F  B2 }6 a) \& {' C                set wealth  wealth + Wealth-inherited-mid]* v; u! U  V9 f+ ]) D
            [ set color green   Y- y' b( u' c/ a$ l2 m
              set age 0
( Q, m* j6 k# P9 P/ W% L* Y  F              face one-of neighbors4 ! G7 a) u, h- ~+ z8 F  Q
              set life-expectancy life-expectancy-min +
7 j' ?  e7 |5 k& A8 o                        random life-expectancy-max  + 2
6 @, U5 z) H: c1 S# E) m              set metabolism 2 + random metabolism-up
6 }$ U+ V) k" l/ A, B- G              set wealth metabolism + random 30
% S0 a3 ?! K: ?+ q* S              set vision 3 + random max-vision1 x) Y$ d3 z: q! Y
              set wealth  wealth + Wealth-inherited-up ] ] 2 o. H5 y8 T9 l% N9 H% s8 s
3 A8 X; }& J: `7 g, m
end
# D2 X9 O: P0 fto set-initial-turtle-vars-wealth
5 Y5 ^( t8 t$ {& j6 _ let max-wealth max [wealth] of turtles! x4 \* S. D4 D) t% v# L( x
          set age 0
0 x- [# x$ h0 R5 V, H* |1 F4 X5 J          face one-of neighbors4
3 Q8 |9 m  ?, o* a* t1 d  R1 I          set life-expectancy life-expectancy-min +
# f& \" D; m. ?/ \0 N                        random life-expectancy-max
5 s% a' H. V. S7 J7 d1 [. A4 U          set metabolism 1 + random metabolism-up
8 ?8 Z% I: H- k          set wealth metabolism + random 30
% J8 n: ^" J: S$ Z% R  n          set vision 1 + random max-vision 4 z6 C, \  L: r+ Q$ g+ E& ~
end
4 u9 g! ~9 o$ K4 U' o! e4 Wto redistribution$ h/ {8 z' v; L# `  p9 k
let max-wealth max [wealth] of turtles
; l& o0 r: B, T" ^0 Plet min-wealth min [wealth] of turtles, n1 H2 D/ o" R
if (wealth <= max-wealth / 3)
1 a* R4 C. f+ F2 m/ q" R  D7 M [set wealth  wealth + Low-income-protection ]
" c  H% A- J7 U& `end' v! {9 A3 q% S8 q: F
          9 a9 U. i% p4 o% ^, _( d4 [
to recolor-turtles2 [6 x- h0 ]+ B8 ]4 ]
  let max-wealth max [wealth] of turtles: _' _! `! W3 H6 U
  ask turtles2 c$ R3 t2 v9 a
   [ ifelse (wealth <= max-wealth / 3)4 G4 m* C, F9 |$ h. R) o% D
        [ set color red ]
4 Q3 a0 u& E6 |. @  W        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ a& ^( t2 M6 g4 A4 |. _            [ set color yellow ]
$ a3 m: M) b+ @* c( p5 i' h  I( t            [ set color green ] ] ]1 g" Z1 C: G$ v
ask turtles [ifelse show-wealth?/ \2 U/ Z) n: ?  P
    [ set label wealth ]! F, y, r1 U# }8 o& N9 D8 R
    [ set label "" ]]
' t) A8 W2 q/ n0 Fend+ E" r3 ]) ?2 D  \* m; D5 p
0 n" @' t6 a" V: j; R6 w: e) u& d
to go
4 v# ^7 p3 S( v2 w0 q  ask turtles
3 i, W% M+ o' O% D  [1 i    [ turn-towards-grain ]  & T* I: \5 ?+ p# \. r' M0 F& L' P
  harvest% L7 O5 C7 f# m) u1 \/ H
  ask turtles
2 V, d! ~2 j) Q    [ move-eat-age-die ]7 h4 Q' }. q: P
  recolor-turtles; P. {. o' o/ b  m, J
  if ticks mod grain-growth-interval = 0' L9 ]4 Z( W% q$ N
    [ ask patches [ grow-grain ] ]
  \7 y2 U! @% d! s5 U+ y/ m   % p) p1 g4 m$ ?6 |' X
  if ticks mod 11 = 08 m9 r+ s2 B) r, W
  [ask turtles
0 j" L, @/ `: ^3 t, ^6 G4 W  [ redistribution ]]
: ]5 D8 P/ b0 q5 w' a6 E7 V2 K  if ticks mod 5 = 0+ |6 @- e: z" t. v1 D( {( Y% o
   [ask turtles
. X( w! N8 D+ g  [ visions ]]( Q, P# C0 x8 i& N5 \$ x& E) W
  tick' |; ^) }1 }3 Y/ v
  update-plots
9 K4 Z, t) z6 ]% y$ }end8 N# R8 W# d# J  B+ J( ^
to visions! c' i" G) P- D
set vision vision + 1 3 ]: G$ m) P7 m( z" Y
end
! |! Z* s( s$ Z- Y2 Z& e& F4 a; d7 v! ]0 P
! L! B& @; U3 W: ?# z
2 v" K- M( `' s: ]3 ~
to turn-towards-grain  
. Z  e+ e- h! ^! [3 U  set heading 0" P6 K0 n3 A, E6 l
  let best-direction 0
9 U4 J6 Z; y% x8 J4 b  let best-amount grain-ahead, p/ d( d# x+ e1 C' h
  set heading 90$ Z3 J3 v. u$ u$ {  o1 a. y4 _: S
  if (grain-ahead > best-amount)4 s/ |/ ^* o+ I/ M# Y2 Y* P
    [ set best-direction 90; a- i3 f: J! e# ]% n
      set best-amount grain-ahead ]
2 t& ?5 x8 A2 u* W  set heading 180
8 t& ~5 `, A' d# Q( `# C  if (grain-ahead > best-amount)5 `/ _. N1 l, q3 o5 d
    [ set best-direction 180
& n6 J0 b0 l+ e1 X, K7 c6 C      set best-amount grain-ahead ]% W: X- e  S# y9 e8 ^" z8 E0 P
  set heading 270
/ @% N9 B+ F5 }% s  if (grain-ahead > best-amount)
+ E, u; Q- b) j" q' Y    [ set best-direction 270) ^6 V$ G+ Q" v; G
      set best-amount grain-ahead ]
2 ?! ^  ]1 E% ?' Z- e" l4 G# S0 |1 s  set heading best-direction$ W  t' U  _3 U+ Y6 S
end
# \9 L" P) [' i2 C& |' I: S2 b* O1 x) M3 g& {7 b
0 w$ C$ m0 c9 m  a. \
to-report grain-ahead  
8 S) D  _- {! j$ i" [/ B  let total 0
& N1 P- x; l% {) b* p  let how-far 1
. L: f# [7 K. w- `8 S. N; K! B4 z  repeat vision
1 f. H5 o: l" e5 H. E    [ set total total + [grain-here] of patch-ahead how-far
3 b1 }3 U' p* s  x      set how-far how-far + 1 ]  A# G+ o( e% X' h
  report total) n) s5 T" Q7 ^1 G7 a3 N
end- k8 s! n1 ]7 n1 F% f% H5 ~( j
3 Y' Q2 S  N: D
to grow-grain
3 f6 A# Q7 i# q. c. t  p' e/ h  if (grain-here < max-grain-here)
1 K: k' I8 P) M1 H8 x: J$ D$ r    [ set grain-here grain-here + num-grain-grown
8 n2 X0 @6 h- M. N4 c2 N7 W- I" q7 K* z      if (grain-here > max-grain-here)
9 v/ s) Q# C1 k& {* E        [ set grain-here max-grain-here ]
8 }* @4 V/ e/ W: d      recolor-patch ]) z0 O1 ]9 }) `0 E
end  C9 ~* P/ {5 V. z8 y) \
to harvest
, a/ v% ~* d0 h5 g: T" ~  ask turtles3 ?4 i; b" Q( M6 W( R: A. K5 c
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]# f' }: u" [. A: P: Q9 N' Q
  ask turtles
1 ?% y7 x& @4 E    [ set grain-here 0* W0 l6 A3 x. r* ]6 @' v8 U" I. q
      recolor-patch ]
7 ]9 z2 ?4 ]  g  s7 q  @9 Y  F  , L- P2 N1 I0 A" J! T5 g* }+ p
end) L1 i9 m' k) X( s

* I% F+ k/ @+ J5 lto move-eat-age-die  7 T7 w* R: y! D/ W3 ?7 g+ c
  fd 18 Y" v( j, e  G/ H
  set wealth (wealth - metabolism)" m1 t( B' W% D# Z& U$ x+ a: u
    set age (age + 1)
6 R. @8 Q$ i7 b  if (age >= life-expectancy); u& Q$ N4 h1 n+ L
    [ set-initial-turtle-vars-age ]
# Q& y: q' q0 p3 l/ e; j; O  if (wealth < 0)
9 U( k1 x2 |  o! c* ~( s9 i8 r    [ set-initial-turtle-vars-wealth ]) ~: R6 C9 w& X
   
# U+ g' z. {7 c- s* [% _+ Y/ iend# O/ h0 Y3 w8 o' L2 I

5 J$ O9 o& M) z$ C! S8 h$ u1 U/ N6 d; o* }
to setup-plots  y  Z1 X7 ]: N5 y- F" \3 G
  set-current-plot "Class Plot"5 |1 W: n& @6 z8 Q- L4 w' \
  set-plot-y-range 0 num-people: Z% N. Z% {7 G8 }- H
  set-current-plot "Class Histogram"6 C9 ?2 J1 V/ S( c9 X! M
  set-plot-y-range 0 num-people
. W# s" v$ F' J+ m- jend
- G" x) R  ?1 C. e/ K1 r' P. O$ h3 _. a9 a! P  y- a; V
to update-plots
5 v% {9 H- v0 P, j+ Y4 Y& O  update-class-plot- ~8 s- _# {  C7 y
  update-class-histogram  G* W2 n  h- \* A
  update-lorenz-and-gini-plots! g7 R$ M" {1 X
end
* X7 z6 Y# U' O' t* z; F# D1 Y
4 T4 W$ l) V3 \/ ]to update-class-plot
7 f- U1 s$ ~* y& J  set-current-plot "Class Plot". L5 c3 s% Q( N6 v1 X
  set-current-plot-pen "low"
7 \" K  l, j% R% N3 p' D  plot count turtles with [color = red]5 }' ]5 Q! Z+ d" l9 ^) ?- w3 E/ x1 L/ \
  set-current-plot-pen "mid"
9 ?, g" p1 a' X& w7 Q  plot count turtles with [color = yellow]
4 w8 ~& s) Z( _% d  set-current-plot-pen "up"2 d- k' S( R7 `' [0 g4 g$ v
  plot count turtles with [color = green]
$ i  P+ e! t2 V( iend
8 `# h' o9 }2 i( T7 S9 p2 \" @& @  m5 S5 P5 `4 v
to update-class-histogram, `0 L! o; f( w. z" W
  set-current-plot "Class Histogram"$ J% _% k- X$ D& _1 ~; i1 F
  plot-pen-reset
$ A7 J7 b' M2 V  set-plot-pen-color red
8 _; X+ w+ q* F6 H  plot count turtles with [color = red]
/ Y1 T* k2 p+ I0 m  set-plot-pen-color yellow" E6 n* w. o) B* M
  plot count turtles with [color = yellow]2 V4 \1 F8 h  V  D1 J9 w
  set-plot-pen-color green
+ Q8 i8 p" |7 b# p2 @( K  plot count turtles with [color = green]
5 S' ?& D( U4 nend
. |2 t. z) j& Qto update-lorenz-and-gini-plots
1 n' q# G: ~6 F7 m% q. m+ Y- Y8 I  set-current-plot "Lorenz Curve"' M8 R) |# m9 }0 J: v
  clear-plot
) A  n( c( n0 h0 G& O! ]3 J; V: |* Z, V, `
  set-current-plot-pen "equal"
9 ?5 E! C( v" ]& T& n  plot 0
7 G" P0 O' u" e7 j  y9 n$ V  plot 100
/ V: z; `% M0 a! R" i* \% W" Y
/ R8 ^! ^& E7 ~* C" h4 ?  set-current-plot-pen "lorenz"
3 [% _$ h, J- b6 F2 i( T/ E  set-plot-pen-interval 100 / num-people
  z; I8 h$ ?& E8 a- l  plot 0+ c; `( c' E! }" x4 Y/ }

6 ]/ X! |3 v+ Y9 M  let sorted-wealths sort [wealth] of turtles7 t  v+ P, f1 e. o' f
  let total-wealth sum sorted-wealths
# u, b$ C  A- Q% d/ Q  let wealth-sum-so-far 0
  K( a0 n9 R: o% h2 Q$ S$ m  let index 0
. B! ^; ]  a% j: k; i, ]  J  let gini-index-reserve 0) R1 S1 W8 T8 R) r' f! |
- {$ |# D) r# W2 `1 K4 S/ F4 G
  repeat num-people [
8 m" T3 K1 ^: r" r) m3 L; |# v7 f& j    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
, I3 d  \4 D; Q9 p! K2 B    plot (wealth-sum-so-far / total-wealth) * 100
( o: z5 H1 o9 p    set index (index + 1)
+ l( T) o6 d3 p% j; X5 x7 W    set gini-index-reserve3 l# \  u) F$ T9 j5 |# \: r$ D  r) H
      gini-index-reserve +0 p# @4 g1 O8 {  {2 M
      (index / num-people) -5 ?& ~+ H% N* l
      (wealth-sum-so-far / total-wealth)6 a' n/ x# n  [7 i+ X, ?
  ]& |* j. a7 a; o

( `, U1 D' Q, u. ]  set-current-plot "Gini-Index v. Time"5 }1 L0 e, F1 y
  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 Y. j1 m1 ~$ s, jend
* I- x, i! e9 |5 a1 Yto-report area-of-equality-triangle
0 U9 I" c; V) l8 r+ {! |9 r  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
* ^( I2 Y8 j- @0 F# }1 _  C- n+ ]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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