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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! Q/ U9 Z3 J/ S
globals
. k0 \% r9 F7 ~0 m[
  m: A- _. q0 x& e$ s( X  max-grain   
/ Y8 C; P0 p2 T, a) R* Y5 {0 z1 ^. x2 E
6 L  b2 y9 v4 Y1 h]
1 T; X# g3 p5 |2 k9 e2 Z6 \% {$ H
' _- F, o7 |! D- [! G' Y0 `& vpatches-own9 J* J# |* M9 Q
[
- `3 \) M* I7 h4 S" }' T$ q; V  grain-here      
2 D/ q" p) c$ J* @" v6 T  max-grain-here  
5 L/ y! `! a' ^# l. J) z9 V]
' O; U/ b# p/ q  Q$ o4 r6 A' y7 A8 E: [5 i. G1 f3 I2 t8 q
turtles-own0 o, A6 m  Y7 v+ v5 X. M2 C- j
[
. Z' _& A$ x4 u+ L  age              
! m3 n9 Q, v9 O( I0 H' W+ J5 O, a  wealth         
1 r- @5 W0 l4 X0 |; [# h; p  life-expectancy  & G  Z* Y, \4 I$ [% S
  metabolism      
3 |, w; {+ A' J* D  vision4 H- _4 h5 @- V1 O
  inherited         9 a! O5 }; b% v' r
]
; {6 @; B7 L7 l) N
% b) A2 w8 L4 t# A, R0 k+ j9 W6 I: f! h& R/ H3 j2 R
to setup
& T, f, {+ c! I  ca) ]3 D* V- d# R- I9 ?! n2 p" V8 q
  set max-grain 50
- H. b9 Z& b  g/ g  setup-patches
: D+ {( _. O8 ]" }% N  setup-turtles: ~  X, K2 ]1 _4 c, [+ I9 I- u
  setup-plots! K/ C6 Y1 }  q5 M# M! t
  update-plots
5 w) Z* @3 q) e4 ]end
/ X$ y2 Z8 H. z$ S' ]5 W/ L0 {/ dto setup-patches
/ f6 {  [# d: P$ |. R. _  ask patches
/ u6 E6 @6 o: R+ v. Z1 a( E    [ set max-grain-here 0
2 R! F# k, g$ ^' ?  m) D; a      if (random-float 100.0) <= percent-best-land
0 H! @0 W% @* [' k9 g# \9 j8 R' q! e        [ set max-grain-here max-grain
5 e3 h$ ^& [% \' T& H  S' z7 q' G% c          set grain-here max-grain-here ] ]
7 c) Z: j& B9 m( b; S3 p  repeat 57 Q$ x1 {' G. u9 ~) l6 z2 _" d
    [ ask patches with [max-grain-here != 0]7 }, P& b2 \6 I. a7 u7 |- [2 @9 O
        [ set grain-here max-grain-here ]
# o/ Y1 a7 M$ Q, C" t  I      diffuse grain-here 0.5 ]0 S+ k; V: G2 S+ ?4 ]
  repeat 106 h! T8 @1 e- q' t3 i2 E- L: _
    [ diffuse grain-here 0.5]          & Z/ i9 |+ h0 `7 }% F3 z+ t
  ask patches
; s0 X2 h3 S8 k0 B8 z% s/ Y- w    [ set grain-here floor grain-here   
0 `, g) P1 z* Y2 P' y      set max-grain-here grain-here      6 P- q% g9 c: w* j# i; s: i% o
      recolor-patch ]
5 I* T; J$ |9 J% ?+ ~end* T' K" t) V" t2 Z! z' d4 J8 E
to recolor-patch  
0 P& ?! a2 I4 \- t- F* G  set pcolor scale-color sky grain-here 0 max-grain3 u- h3 r) s# x3 o7 L( T3 z2 w/ q) ]
end
5 M6 }  r7 q; P7 ?to setup-turtles
2 W9 [) W/ j5 r# j  set-default-shape turtles "person"
6 X7 I% x' G6 n0 T9 A1 c' i  crt num-people
* b/ @4 i( U6 s    [ move-to one-of patches  " j: W0 j  b7 x) Q+ D0 e0 x. D
      set size 1.5  ' m& H- m' y. r" Q# L- y
      set-initial-turtle-vars-age  x2 n- S7 l/ `4 B2 B  H
      set-initial-turtle-vars-wealth
; K/ N5 h- S2 H8 |" h0 R      set age random life-expectancy ]  ^" k' b6 A. S
  recolor-turtles1 \$ l/ T; c' s( y4 W
end
& N. r) \2 u" J' v2 L' [
( t. j& k- d, T* ?2 Ato set-initial-turtle-vars-age
) L$ q; k0 }1 g- n- w  i4 N let max-wealth max [wealth] of turtles
! k$ {5 X9 q, x4 z0 R9 M   
" @3 c1 }( ^1 L     ifelse (wealth <= max-wealth / 3)
0 S' N8 X& P7 O& D( R# b2 `$ M        [ set color red % |) k3 u' S. `. v
          set age 0( x% y3 l( U, D1 v) U. t3 G, `9 |# C
          face one-of neighbors4 . K& N- }- j) Q3 C0 r/ D. Z& {
          set life-expectancy life-expectancy-min +; q6 J7 X5 N* F, C% h" P/ P
                        random life-expectancy-max
2 Z+ m5 i3 M: o2 `' M& s1 P          set metabolism random 1 + metabolism-low. }% t" K. \8 Y4 r0 Q- g9 B
          set wealth metabolism + random 30
, X+ n2 S4 o6 ]& A          set vision 1 + random max-vision
- I2 H- k* i9 N             set wealth  wealth +  Wealth-inherited-low ]1 v- c5 ^7 k! E# T( b5 X9 ^: K5 r1 D
        [ ifelse (wealth <= (max-wealth * 2 / 3))
0 M  ^3 N& Q2 @% a. F& K            [ set color yellow 4 T: _1 V1 @; ]0 t+ J3 H
              set age 0
8 H7 J' B6 J0 Q/ R0 r  S- ~" D' }              face one-of neighbors4
+ Q6 p6 z: G; t) Y! d( v5 ?              set life-expectancy life-expectancy-min +
2 o* P" ~$ K4 M' u& k                        random life-expectancy-max + 1
& b' e3 ^, N. `  t. t              set metabolism  1 + random metabolism-mid* Q7 r% w1 V/ R0 T5 t
              set wealth metabolism + random 30
$ l3 P! `  r8 D+ W1 C              set vision 3 + random max-vision. W8 I; k* I4 b4 ]' h
                set wealth  wealth + Wealth-inherited-mid]
3 j9 g1 g+ f7 C* g9 e3 f            [ set color green 4 q. m5 ~! X: u) d2 e8 r* U" T
              set age 03 g+ F* R" y6 p
              face one-of neighbors4
$ ?  k, a  H0 V- a/ @8 M. S              set life-expectancy life-expectancy-min +
1 B: K- `8 a6 \' X                        random life-expectancy-max  + 2
# x4 l+ i9 w- h; K3 s$ {3 f- Z              set metabolism 2 + random metabolism-up
& C  p3 b4 N  y* M9 {5 P3 ]& M              set wealth metabolism + random 300 X' a+ i( M3 u
              set vision 3 + random max-vision
. {; e. H8 K0 _/ p5 E- o              set wealth  wealth + Wealth-inherited-up ] ]
5 S6 z1 U; r1 v6 I6 {6 C& y+ |' [/ }
0 \% b3 D* D: f  l$ hend6 Z' ?' z0 T8 _( j$ P2 f
to set-initial-turtle-vars-wealth
/ H$ ?( E- K% {& i. a( w% ]! `7 P let max-wealth max [wealth] of turtles* ?. S% ]' D! s6 T& J/ J& i
          set age 0) i0 f( M% h6 y) x* z
          face one-of neighbors4
. W) M3 w+ m* W          set life-expectancy life-expectancy-min +( m3 S8 ]3 |! t, G
                        random life-expectancy-max
' a" g* ~6 H3 R3 F: F          set metabolism 1 + random metabolism-up( o6 B# W- L$ g( N4 `$ z
          set wealth metabolism + random 30
1 w) o! `; k3 n" t- n; ?' ^          set vision 1 + random max-vision $ u0 a1 n1 P5 S# R7 n; F) M
end+ |; \3 @* O5 |/ P. f- ^
to redistribution& O" q  m. x* E( P% C3 b7 Q" I
let max-wealth max [wealth] of turtles# Y1 j3 e& W  m$ H0 t: W
let min-wealth min [wealth] of turtles
  c+ X- e5 r6 L8 C# ~if (wealth <= max-wealth / 3)! k0 {1 Z* F, Z  \9 v3 }6 H$ f1 N
[set wealth  wealth + Low-income-protection ]7 n7 g/ O4 b! R. f; ]: M% |1 r
end! U( G, ~" d1 Y- l+ l; y$ k* d
         
/ ]) z! d& Y9 K+ `# j! oto recolor-turtles* Z$ b1 V! h7 C# W: n
  let max-wealth max [wealth] of turtles
, \" ?/ ^) f7 I. q  ask turtles
3 B: e. l+ `* r   [ ifelse (wealth <= max-wealth / 3)7 r6 n6 e0 x# ^6 h8 z
        [ set color red ]* v( u9 H1 U1 g$ ]& q" g
        [ ifelse (wealth <= (max-wealth * 2 / 3))
1 f9 x+ Q, X7 B7 V  F            [ set color yellow ]
3 D- I7 X6 N2 C2 u% I2 O% k            [ set color green ] ] ]
0 F$ R4 {- {- v- C' ^ ask turtles [ifelse show-wealth?
5 z7 A/ j/ E: d) W; \    [ set label wealth ]% g- U* V+ }" b. A
    [ set label "" ]]
- K$ H! f# }, h( p0 l  `" P" Yend" Y1 P: c) C1 D  Z
: o6 c1 ]% x* {8 y- g
to go
1 }2 B+ e% E+ y7 H- U8 D* t- V  ask turtles. d& t* V8 R5 v0 y- P% I
    [ turn-towards-grain ]  
0 ~# G6 A/ W0 O1 x1 D& c  harvest" W- t5 _8 e# C0 _* {/ @  x
  ask turtles" B0 P2 }. J6 l; W6 P: G
    [ move-eat-age-die ]. N6 F) J7 R( G4 ]( e1 K0 a
  recolor-turtles
. r4 G: E6 g& B2 Q: r4 V  if ticks mod grain-growth-interval = 01 [( ^$ o+ T4 d8 p9 Z" M1 |0 \
    [ ask patches [ grow-grain ] ]* h1 h2 ?% @8 @4 o8 c& y: N
   
  b! }$ F6 i" L6 K. A  if ticks mod 11 = 09 W( [6 Z% H7 h& A
  [ask turtles
6 g" a1 r  i$ e9 @  k* i" A0 s  [ redistribution ]]
' _0 r8 G  V. a6 I, _& P+ g  if ticks mod 5 = 03 J3 F- [; Z: g1 S. D1 u. M  v
   [ask turtles; F/ Q3 S- c) K# I) C
  [ visions ]]/ P$ s7 y0 y7 m1 n6 u% j& X% M5 S
  tick6 e' H, R3 Q, G5 U/ T3 B- _! r; s, \
  update-plots; D4 r" m' W- ]$ P3 l9 o9 }: h
end3 T5 Q* ~) F& Q6 c
to visions
1 D' H$ r7 O" F" G! Z5 z set vision vision + 1 5 a! M3 P6 l- C
end% j2 i" ]% T; J* ]: \
" d3 [# Z, \# S+ D% e6 m5 n
$ V" e5 y9 |$ s! ?% V" N7 G# u
( j4 h' g+ _+ j* y' ?. N  x
to turn-towards-grain  " c! @- B9 B9 |6 k" [7 N
  set heading 0
+ N9 U  M! Z* @# ]/ l: p3 D  let best-direction 09 d7 H; z! k+ s+ [9 q
  let best-amount grain-ahead5 ]5 R8 @  [1 R5 a3 y: g6 c
  set heading 90
+ E: G' ?  Z1 h3 I  if (grain-ahead > best-amount)
' Q' K" K) p: H4 Q* J. q9 f( f    [ set best-direction 90
( S: S: m. F( @4 u      set best-amount grain-ahead ]
% {: _0 j6 p( W1 ?  set heading 180
3 b. t; C- Z7 t: O* T  if (grain-ahead > best-amount)4 m& q1 i1 c% S$ t3 {% k
    [ set best-direction 180
, d1 N/ ^6 u1 J  W) z      set best-amount grain-ahead ]9 Z. L% C9 H2 \+ r6 Q
  set heading 270/ L6 F, s% F! s9 C! m
  if (grain-ahead > best-amount)
6 p# Q( R1 d" E    [ set best-direction 270
2 G9 F: o8 i3 i2 O' G& Z# }0 |: f) w      set best-amount grain-ahead ]% }+ J% ~. o1 H8 B+ x' m) J& t
  set heading best-direction9 i+ {" e) Y" f  C  [
end
1 s0 {  J0 o* a) s% _( I% J: K9 @2 c
0 {$ Y* F% U$ b7 q, T( n
: u% S( W& e9 W8 Z, D+ {to-report grain-ahead  
9 |5 U' y2 f$ |, E  ?  let total 0
# D( g$ D, t+ B& R8 `& g  let how-far 10 I6 P' j! x( t- [3 i* v) u3 S
  repeat vision! w0 C& s+ N0 ~
    [ set total total + [grain-here] of patch-ahead how-far) g/ s( `  s) q1 V$ a
      set how-far how-far + 1 ]
8 [5 `2 W. R2 h6 C6 K( j" R8 ?  report total& q7 W% V8 q! ^/ }% w( J5 N
end3 a& E5 p# h5 j$ V/ C
$ v8 Q. a" q& m; o) _) v* l
to grow-grain   E* U* O: R8 z" ~
  if (grain-here < max-grain-here)$ ]' o6 f6 Z% V6 U+ w
    [ set grain-here grain-here + num-grain-grown1 w" r0 s* B" B- O
      if (grain-here > max-grain-here)
0 N. a* \* w) w* M        [ set grain-here max-grain-here ]9 E- ~( H3 W" E! _7 v
      recolor-patch ]
" i8 z* K5 |2 {5 }) Eend& G9 _7 N: C; F" n
to harvest: i2 X, h( a2 }; M2 Q( ~4 C7 G
  ask turtles- C% m# l4 p) l  s+ c) @- g" b) Q
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
0 n8 g9 e$ T0 J5 k* \  ask turtles! R- `, w! w2 `3 \3 o. r6 i0 T
    [ set grain-here 0: T: D2 t0 v! v2 H
      recolor-patch ]3 t0 t8 l! V* h1 @7 k: ^
  * r( E; g- k+ J  r0 K
end. O9 p3 S, V( }* B/ T0 x; L
2 W. }3 x7 Q3 p% c' i# y
to move-eat-age-die  ' ]: {6 M) S" z! j8 z, K: ^/ V, E
  fd 1- s' g  W  }5 i. Q& R/ O/ Q7 ?
  set wealth (wealth - metabolism)
; H# I# Z' q4 P7 U' O" t    set age (age + 1)- a9 W3 V4 ?1 y- s
  if (age >= life-expectancy)
7 A+ h# z+ N8 [. A8 X    [ set-initial-turtle-vars-age ]
3 p9 h: i! x, X! Y# q% T  if (wealth < 0)" U, A8 v6 y- m
    [ set-initial-turtle-vars-wealth ]
0 Z6 A! V' I1 U) m6 \   
" R. `! n( R  a* S3 v# lend
: S/ K0 a7 o* Q  k* b
( {& k' u! @: j) R7 m4 [, Z, R; L: C7 M6 w  ~5 [- C; `8 G3 J
to setup-plots
1 @- d; {0 a" Y' _: [$ h& K. q  set-current-plot "Class Plot"
6 {, w' o- H) {! V5 d  z  set-plot-y-range 0 num-people4 a, V" {# F% Z
  set-current-plot "Class Histogram"4 Y% A; Z: C( Q/ B0 Z! P
  set-plot-y-range 0 num-people
8 G$ J; ^7 G2 q( Y( [. hend
( G- D; D( B5 t! e8 L: `* p4 d, Y/ |. |3 M# e+ b" Z, b( c% U
to update-plots
3 e$ X: {0 c$ O1 S: ]  update-class-plot+ h1 k! K1 d& E! ]. M3 p$ ^& N# Z
  update-class-histogram  D9 F& V9 A+ f3 g8 [) z( c4 J
  update-lorenz-and-gini-plots
" C1 `6 \6 d; |4 c0 u4 Xend
$ B7 N4 d2 _3 Z. G+ j: e8 ]) c: F- y! X, a& U
to update-class-plot
# S* v4 K( \! B8 n( ?: j* L6 A* K9 m' L  set-current-plot "Class Plot". l  E  R' R6 r; [
  set-current-plot-pen "low"& [# F, V2 P; d3 p' T  y
  plot count turtles with [color = red]
4 W. H% p. t' q3 U+ }  set-current-plot-pen "mid"; P8 S' _$ ^  \
  plot count turtles with [color = yellow]
3 q' Z# ~: h5 ^1 F* t# B, j) W  set-current-plot-pen "up"
5 W5 r& K; ^+ A# [  plot count turtles with [color = green]
: N8 a6 f2 v; I! ?' A7 u$ ~* _end
, \; @$ O. x, r9 @1 G! \- l/ R
. b8 U. H1 [! i/ n/ u# Mto update-class-histogram
% s0 X2 V/ r  a  set-current-plot "Class Histogram"6 f1 L- ?6 Y. Q* P. z4 h2 r: S
  plot-pen-reset
# ]7 R$ A; ]  x, k. _% c  set-plot-pen-color red
0 ]! }0 k5 H- o) r. z) f  plot count turtles with [color = red]
$ w3 U% W% l; T/ T5 }, X' B  set-plot-pen-color yellow
. ^6 c) _, w1 H/ S; ~' u  plot count turtles with [color = yellow]2 P5 s' |( B: W. h: ]- l. @) V
  set-plot-pen-color green
+ s* E1 B" k6 z2 E  plot count turtles with [color = green]
7 A8 y7 b) U3 z! fend
5 f4 R0 t3 N( ^: d) g9 a* A9 }  X% ^to update-lorenz-and-gini-plots
, A1 F0 ^& p3 Z  set-current-plot "Lorenz Curve": j! u: I9 }- \5 {1 m' \9 z6 \, |5 h5 P
  clear-plot
0 v+ p  S# j4 J. c9 h$ h7 P* w/ a6 E, }6 {/ j/ {* c4 B
  set-current-plot-pen "equal"
3 Y* O4 {" Z0 m  plot 0
5 ]) S! _( H  c2 M* ]  plot 100
! h* p  e. T9 f7 Q% j1 {/ w
7 ~. ^" e) R# y8 \  set-current-plot-pen "lorenz". k6 _3 a2 N2 t  P' T; f
  set-plot-pen-interval 100 / num-people8 U3 ?0 A1 r; N3 {
  plot 0, b( `- X) W0 r, T( W. i

' @/ ^$ o9 ?. y* a% U& q% _  let sorted-wealths sort [wealth] of turtles: c. H8 m' X) q9 `. h2 C. ]; @
  let total-wealth sum sorted-wealths
3 |/ W6 u' s/ U% h9 }! B1 J  let wealth-sum-so-far 0
+ O  W& S& f# I  D! y( w" }  let index 03 S4 {: u$ I; S# r
  let gini-index-reserve 06 n* \5 b) X9 M+ Q; B9 `! |: b

# b' P/ ?- d( U  repeat num-people [
8 F: t( K1 q! F. E& O+ [    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
- d0 N" }& P1 v4 f3 [    plot (wealth-sum-so-far / total-wealth) * 100
0 w" Q3 Z4 m& o2 |  Q; J! A. E* y    set index (index + 1)
6 c- j) M8 N1 }& t/ R    set gini-index-reserve! ~( [( h, w' L
      gini-index-reserve +
+ }- a: C7 x( h& W. [& Y      (index / num-people) -( m) K$ K8 y5 u
      (wealth-sum-so-far / total-wealth)
& I; s+ T% O. Y5 |" y5 n5 U. \' s  ]8 x8 S  G6 p* l& k+ \9 z
8 V) Y' p" B2 [) |8 @! f/ m& X; S
  set-current-plot "Gini-Index v. Time"
- }% N( ~) p' s' z1 Y) I( G7 o  plot (gini-index-reserve / num-people) / area-of-equality-triangle
- L, @6 ?0 G; y& Uend
" i+ E) ], G2 ~, eto-report area-of-equality-triangle
/ V, C  p- n5 M: U3 h" e2 h  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)- G( m2 P: S! Y% Z, S. ^0 m/ V
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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