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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
& R4 v/ l; s1 G! M5 O4 f$ [globals
, ]: R0 Y& Q( u) f[3 p2 b  _) @( V. I6 S7 ~7 @
  max-grain    9 F4 I' c+ H6 u/ R8 x) w
: n4 L2 c2 n  u0 X$ h
]  Q' ~( R! X" R3 j

7 H% k  U  b" W; @) R6 \patches-own7 S8 I1 K. A2 c  J
[1 h  p& \6 q& a/ U& q
  grain-here      
' B4 r  X9 p( ~- L6 H0 l  max-grain-here  ; a0 q3 O2 Y( p! C: b6 t9 x
]/ j, e# Q1 f% S/ N* x+ x% T

; r: G! {- `. r) I1 u: t7 U) jturtles-own1 {' e8 C7 x4 K; [- x0 [
[7 z$ k( x- A# A# t
  age              : K! Z$ [& S! v$ U& ^4 V. s
  wealth         1 |& n: J8 E: \
  life-expectancy  
7 b8 t' L, b" b& o# T7 B9 u  metabolism       0 C7 s# v6 F% I. Q6 Y; d
  vision
) A9 W  q  n9 Z: M# B  inherited         
0 N$ V1 p8 \, G) k, N8 y+ a+ @% D]0 t! _0 u8 X9 g/ B" ]
9 S  J# h! A  p& A. l& o/ U
; {6 R& Q: `! q: a. c5 O& U" R' ^
to setup  }7 F- i" L- K( B/ N* m6 R6 x6 `
  ca
0 i/ b5 |( p) w& i2 M  set max-grain 508 B$ |( r1 |& N* e: u5 B6 N6 f
  setup-patches, V* C0 \; t* @& F# ]# Y; w! }+ m! N
  setup-turtles
6 p* Y7 Y( L8 C  setup-plots$ Z. F$ }: Y% q! {, ?2 d
  update-plots
% I* s# J& {; y: Xend% j. K3 {- {; W7 c7 {
to setup-patches
! j3 [  S. w, V  ask patches
3 G3 n( T! T5 H4 w3 M: ^2 W$ @    [ set max-grain-here 0: W9 ^$ t# m/ Y- v/ P
      if (random-float 100.0) <= percent-best-land
) V6 Z( `3 J% d, S% P        [ set max-grain-here max-grain1 U! S; X1 u! `/ I
          set grain-here max-grain-here ] ]) i1 ~2 y8 ^$ x6 N
  repeat 5
3 |6 y4 E9 B2 u7 q, }. V    [ ask patches with [max-grain-here != 0]
$ {1 e0 g' m1 W( a6 \/ C        [ set grain-here max-grain-here ]
7 Z6 S5 C9 A7 v7 j  U9 S      diffuse grain-here 0.5 ]
% F, S2 ]: V2 |2 Q( o  repeat 101 Q' e, g# S, x8 A2 L
    [ diffuse grain-here 0.5]         
& r0 e* r* d  B  ask patches
  X. f" \6 I. X5 W% U2 j: \. U    [ set grain-here floor grain-here   
; b8 t. k/ p/ E' J; j      set max-grain-here grain-here      # P; w" M2 l2 h$ d' D+ H
      recolor-patch ]
+ K& d! F* t% l9 h! Rend% u4 k9 o  j: I1 B4 Q2 D) |( c
to recolor-patch  ; B" x  S& |# E# }# j4 z
  set pcolor scale-color sky grain-here 0 max-grain
0 I0 C7 ~) [; P1 X" P, C. Zend% U* p# J2 m' L) c" p1 u' J
to setup-turtles
( |. R8 q3 x' C* K# B& g! B  set-default-shape turtles "person"5 r& U; B2 |% O  d5 F% X. M
  crt num-people# g+ u- x6 Z0 _4 [$ B+ G$ _6 C+ B
    [ move-to one-of patches  
, s$ `, m4 v3 f7 ^      set size 1.5  
1 P* d. F8 k* g# p+ \7 Z      set-initial-turtle-vars-age
  D3 ~; @! Q' c8 ]0 l3 F( I      set-initial-turtle-vars-wealth
% ?7 G' ?0 S. r      set age random life-expectancy ]3 J. Q5 r' f4 e, `' z8 H! M
  recolor-turtles7 t; q( o& O; C# d% e
end
. y: _8 p7 V5 R" j+ w& b
, q# w9 G- i8 i2 q9 Nto set-initial-turtle-vars-age
3 J  X& A( q9 a, n, f3 h let max-wealth max [wealth] of turtles! i8 F& g) p: v7 z, j
   
/ G9 _- x2 Q9 v( Z2 |     ifelse (wealth <= max-wealth / 3), y/ n- k" ?7 L' ~  b
        [ set color red ) g# C3 t: A$ q7 Y& R6 Y- H* G4 K0 [
          set age 02 L! O, x6 I; M( }0 Z# p$ W2 Z+ U
          face one-of neighbors4
0 ]- [1 p5 p$ N% _# u          set life-expectancy life-expectancy-min +
. p5 O/ C* M8 v( y' H                        random life-expectancy-max
- A' H9 k7 w. |8 x* \/ F          set metabolism random 1 + metabolism-low' P% {  h9 Q4 N- |
          set wealth metabolism + random 30
0 k, U$ ]& s$ W2 G$ V2 N          set vision 1 + random max-vision
% [. U( h0 l8 E4 P             set wealth  wealth +  Wealth-inherited-low ]
9 D+ {7 x1 ^/ k        [ ifelse (wealth <= (max-wealth * 2 / 3))
8 n: X1 b$ m* W2 S% Z1 m            [ set color yellow
/ {# E3 Q. ~( |" |              set age 06 t8 U$ L* K3 l0 T' u
              face one-of neighbors4 4 @( ?. Z' w+ _
              set life-expectancy life-expectancy-min +
8 p9 o. [, e( m) U) c4 t                        random life-expectancy-max + 16 d$ Z; D: z0 o
              set metabolism  1 + random metabolism-mid
5 A, o7 u  ~( v' C# |              set wealth metabolism + random 30: l: v) x5 q5 A0 Y) J9 V: Y: O
              set vision 3 + random max-vision8 k' Y" V5 a& W2 [
                set wealth  wealth + Wealth-inherited-mid]
' g( {2 c# }& ^# N- f& T1 e( J            [ set color green - M4 d9 k  C. M) l" Q
              set age 0+ K1 {& ^. r8 d  r1 I) }: q- y. k+ l! c
              face one-of neighbors4 ' o- E9 U) Z0 o) T: o
              set life-expectancy life-expectancy-min +. d) z; _) Q$ |. H2 O2 u, W. ?* H
                        random life-expectancy-max  + 2& Q& _. {. b( k6 V* n  \$ H9 b
              set metabolism 2 + random metabolism-up3 s( w7 G4 F* q( ]# {
              set wealth metabolism + random 30
3 W. y6 e$ J) H5 b- [              set vision 3 + random max-vision/ b  ?: J$ D9 [2 t& M
              set wealth  wealth + Wealth-inherited-up ] ]
* f3 j9 w" J' B$ ]6 |2 |1 U0 ]6 U ! K8 w9 C6 w5 T8 H# h5 m" W5 p6 L' M! J
end& S' r% H  W; |$ \
to set-initial-turtle-vars-wealth& k9 W4 J$ [& G# W1 l+ a/ E8 I! d
let max-wealth max [wealth] of turtles9 m5 I' ]: i7 U) k  ^: b% i
          set age 0& `0 Q" f% Z! U" b8 n- z
          face one-of neighbors4 $ @* C$ |. `! T9 y8 R& i
          set life-expectancy life-expectancy-min +
, \% k) _2 I+ G: J: M                        random life-expectancy-max 7 V& u% Q3 y8 V* u# i
          set metabolism 1 + random metabolism-up6 l: p; P& l; a/ b/ \
          set wealth metabolism + random 30
/ r& l; Q% v0 s7 v          set vision 1 + random max-vision
4 u: N( p  R+ H+ B7 U3 _7 iend. y# H  ~, Z# j
to redistribution
6 O$ _# P2 D5 M* n0 r0 Tlet max-wealth max [wealth] of turtles2 _0 X4 Q$ M. K3 k
let min-wealth min [wealth] of turtles6 ?, q4 q& J% O. t
if (wealth <= max-wealth / 3)
% b% o0 X. M) F+ k; _ [set wealth  wealth + Low-income-protection ], @7 ?* d( U: R, \
end1 o1 y- t; U5 B/ h: i0 j% y
         
8 U4 n7 _3 g* u3 gto recolor-turtles4 m% L2 _9 c! y/ R/ A2 D
  let max-wealth max [wealth] of turtles( o& }$ `: i6 ?0 W, h( r
  ask turtles
- \% ^& F0 ~0 P  _   [ ifelse (wealth <= max-wealth / 3)9 X5 r  G- V0 P6 J$ x2 o0 F
        [ set color red ]
0 T/ p+ i8 r; H        [ ifelse (wealth <= (max-wealth * 2 / 3))
) ^! r3 t" v/ @0 T            [ set color yellow ]. I( H( W1 y4 I' k6 R) Q, m
            [ set color green ] ] ]: d4 ^1 c# ?" K0 w. f& T6 s% p5 U  U
ask turtles [ifelse show-wealth?
+ Z) k# L" C/ l9 A3 n    [ set label wealth ]
* S0 d; V3 U: e) C2 G& r    [ set label "" ]]6 c8 O, U  V7 f4 A
end
1 e% F* g$ |% b0 G; A; k$ X1 o: R
to go5 \: c0 R$ R) u$ V9 A/ }
  ask turtles8 O. Z- ~7 z" n$ g. S" w3 z
    [ turn-towards-grain ]  
, m3 f  H& O, O4 R- A* x  harvest0 w5 j2 x% I: |9 h
  ask turtles
/ N9 I) T' Y9 O5 y# H    [ move-eat-age-die ]
# T; z+ d9 E) A, E6 P+ ~  recolor-turtles
) J. W' s8 _1 u1 K5 j  if ticks mod grain-growth-interval = 0
7 c- }/ T* }. l* f, }  Q! d2 H    [ ask patches [ grow-grain ] ], L5 I: c4 u- C2 R
   
+ k8 \$ X; U, b  if ticks mod 11 = 05 K- ^$ ~5 I6 E& r7 s6 i
  [ask turtles- X& ^* b9 c6 C3 Z1 G' {- z8 q/ R
  [ redistribution ]]) {' i, E. W+ j# ~( u8 q: O
  if ticks mod 5 = 0
# g- t0 j2 q# i   [ask turtles
2 h/ I5 u3 D2 A" ?7 }, A) M  [ visions ]]+ A+ s$ S3 F- |  L2 T; x6 S
  tick
8 U. _6 Q; m8 B0 q  update-plots
5 p: |- D- ^8 }; u9 Y" pend
/ j0 d! k  U9 S, a) Xto visions
, _; p% P* w' l' Y8 D* N% A set vision vision + 1 * {4 Z. p1 |8 T5 S- d3 @% ?& d( _
end
+ V( L% o5 \. F1 s. W4 Q( b: B8 x. J5 j8 H4 w1 s

( Z; J) ~7 |! p  ?; F0 D6 i4 n
to turn-towards-grain  
$ g$ l! P! n3 ?" h' |0 W  set heading 0
$ }4 C4 d. }0 A4 i  let best-direction 0
1 J9 k) V5 K) A+ U  let best-amount grain-ahead
5 i5 d) A& Q5 _  a" Q- H" k$ `) _  set heading 90
: t) i2 d* g! d+ E( ?6 }+ E  if (grain-ahead > best-amount)
9 |+ x# T, |3 z3 g    [ set best-direction 90( `7 V' D- t0 F0 {; Z7 w0 s! n6 S
      set best-amount grain-ahead ]
: L( i4 X. L3 ?1 Y" O: H) a  set heading 180
: o! D3 ?7 p. _  b. ~- m# q  if (grain-ahead > best-amount)
' J( [9 n, [8 Q. `6 K1 [    [ set best-direction 180
, e; V. [, A- y! B  Z7 j6 @& b      set best-amount grain-ahead ]
- z2 g0 P" {1 W/ b" M% b  set heading 270/ C0 ~0 J6 G7 I
  if (grain-ahead > best-amount)
* r2 L% ^& B9 g- ^$ G    [ set best-direction 2708 D9 l7 H8 u% k
      set best-amount grain-ahead ]
6 h% X  K8 d% j0 O  set heading best-direction0 c: S2 D) c1 W6 J" d) Z( }
end
) ~, U& q6 K  _& @0 J" M& \5 _0 A9 b7 d' ^/ e* `6 Y+ s

- w5 A/ u$ {  a: Qto-report grain-ahead  + S7 f0 U2 {) G1 D# X- F
  let total 0
9 w) j# J" w+ |7 i  let how-far 16 l+ F9 Y" y- S+ I) a8 E( h- A
  repeat vision
) M# G3 L6 B$ E- u) ]. o' k& A    [ set total total + [grain-here] of patch-ahead how-far
( \: i, k# g; J% b& d9 s5 c      set how-far how-far + 1 ]( W# b2 d0 \$ [# d, g
  report total9 \" S  g' n6 S* x
end
3 q4 u% G* e( Y7 P9 g% Z; u1 [9 E
to grow-grain
8 s# D$ J/ W9 G# _$ W  if (grain-here < max-grain-here)
% I3 h  w& D  c, V    [ set grain-here grain-here + num-grain-grown4 [3 r7 `* @% U
      if (grain-here > max-grain-here) 0 w. M2 k2 j3 U; Q( V& R" o, J) [
        [ set grain-here max-grain-here ]
! M2 g- y7 o7 L, L      recolor-patch ]4 Q* r* ?9 ^4 x/ X; ?3 s2 {0 p: B
end
  c: h" \: J( l3 g! q3 Qto harvest
6 m0 L' x" A3 U/ M  ask turtles" W6 n0 n( O# b: k
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
$ U4 W6 Q- F; i, k+ G- L8 d- e0 F  ask turtles7 J& b0 f9 E3 f! |8 b7 N6 q
    [ set grain-here 0
, ?3 @0 |# a$ b7 ?8 T1 c2 V! o      recolor-patch ]! B! r7 O6 `* t) c. r
  
/ t! @1 {( i- n4 Tend- \# _' S( }$ I9 F: G8 ^) g9 M3 v
8 S8 g- b( t' X1 u9 ?
to move-eat-age-die  
1 ^/ [/ t6 i0 V6 v  fd 1
8 L+ }: Q1 D! r% n3 e2 |7 E  set wealth (wealth - metabolism)
2 ~. q( Y" v- G1 d9 N) l! o    set age (age + 1)' M/ N5 T  B* n' @$ A4 o  c7 D( b; v; K+ r
  if (age >= life-expectancy)8 v8 E' B9 u4 s8 g  \
    [ set-initial-turtle-vars-age ]2 P/ e- A4 Z: F2 o+ c
  if (wealth < 0)
7 c1 O  v5 W3 {& k4 {7 p5 P/ D    [ set-initial-turtle-vars-wealth ]
! B5 Q# e  n" x9 V3 T$ \) N    ; k; v1 C- u7 ^6 i
end' u: J* ~7 ?% Y2 y- e

* J$ [  r4 ]! M7 V3 \* L% a
0 {+ I0 \4 r7 {) Y9 ~8 \+ `to setup-plots
' m" g: A2 f% K3 Y' p8 t  set-current-plot "Class Plot"
% `# w" B# `9 o" S- d  set-plot-y-range 0 num-people' F% _, b+ h. \. Z' y5 H& G
  set-current-plot "Class Histogram"
  w1 H7 ?# e$ {4 d4 S. |  set-plot-y-range 0 num-people& B7 z, {7 c2 j: F. t
end% a) x0 v2 e, P; j, e6 N' i1 i
/ B9 F, p6 |$ G* ]4 I
to update-plots
2 M% b& G4 B4 Y3 h' o1 V  update-class-plot
1 P5 `9 ]6 B; A$ V  u) D0 c+ x. H  update-class-histogram+ {- v9 L* T% g2 G' u) Y
  update-lorenz-and-gini-plots
% o( E* C$ `9 ?, wend2 c5 p5 u" C) o& M' e1 C' m+ r
2 R6 n- B0 ^( H; Q9 z, T3 b
to update-class-plot
; D& l9 Y3 m8 M# b( E; q; s  set-current-plot "Class Plot"8 ^" Q) [5 m9 Q0 R4 F; e
  set-current-plot-pen "low"
5 ]: |7 B  E# `" T! _& Q  plot count turtles with [color = red]& o9 f4 p5 J4 d
  set-current-plot-pen "mid") ]! C  V& v$ M. Q5 X& G2 y
  plot count turtles with [color = yellow]
' z* R* f3 e& S9 O+ O  l  set-current-plot-pen "up"
$ z, |" ]4 V! Z. H  plot count turtles with [color = green]
) U; _3 z. y1 I  uend
1 u/ q5 }. W. i% Z. I) H4 P& d
+ y5 k; V7 Y1 a; N. lto update-class-histogram0 Q+ p/ }" [" F
  set-current-plot "Class Histogram"
4 ?0 ?# L$ k9 F; `) T* V  plot-pen-reset" Y* R9 _. m5 E- R
  set-plot-pen-color red
+ ^/ R% ~: C% z# v3 w# G! n  plot count turtles with [color = red]+ |% \2 J1 O! J' L5 B
  set-plot-pen-color yellow
# n- x; G! P! ^% @  plot count turtles with [color = yellow]
3 n( J% \$ q% S4 Z, s. ~3 y  set-plot-pen-color green! g9 q1 X; a/ B% {. {7 w3 g
  plot count turtles with [color = green]
4 d/ W/ M+ A" Kend
7 Q0 R2 h9 E6 K; P7 a$ yto update-lorenz-and-gini-plots3 y: X/ ]& ^  w8 D
  set-current-plot "Lorenz Curve". ?1 A; C# {3 y0 u
  clear-plot
2 B) i2 i; w# p* d3 ]5 D  i7 Q; Y1 ?& Q* w9 v5 b
  set-current-plot-pen "equal"
3 e; V2 \- C! j' b# E( d# |  plot 0
0 ^. a; t. A7 g" N# x  plot 100- @- }3 T/ S, q) |* f% k

, M4 l% K! z7 F1 x: D7 ?. K  set-current-plot-pen "lorenz"0 Y/ S% r3 \* m* S
  set-plot-pen-interval 100 / num-people- [; Z% j& j6 M. v3 H
  plot 0! U8 C% p- E$ t) M' P! M! j

, I3 H" Y7 Q1 A' Q. l  let sorted-wealths sort [wealth] of turtles
2 N6 o2 T$ V( ]( a2 j2 k' K  let total-wealth sum sorted-wealths5 m# M' [: |5 d+ o
  let wealth-sum-so-far 0
; h5 R3 h3 l4 n) t) G  let index 0* e; @& D; m% H6 o8 k5 i* g
  let gini-index-reserve 0
6 F( k7 y: \" f2 e, |& z5 m" D  l. B4 @( U: g0 W. [# h
  repeat num-people [: G7 ^* M3 i6 F2 W7 @, P0 J6 R$ x
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)! S3 K5 k# s6 \9 X7 u! a
    plot (wealth-sum-so-far / total-wealth) * 1007 A2 p9 n4 N1 e3 g0 ~. }' ]. T; [
    set index (index + 1)7 n* J/ l: G# h6 ]+ s
    set gini-index-reserve
/ {7 T8 o% D2 m! Z1 U4 O      gini-index-reserve +
. L% \, Q/ U2 c# `      (index / num-people) -
/ b& y. v1 J" d5 m* S$ P      (wealth-sum-so-far / total-wealth)* p5 ~- E0 B  g0 E- ]) e8 S% H
  ]; U. c; U# ^4 I2 s9 z

" ~3 C" I" B+ H+ ?: U  set-current-plot "Gini-Index v. Time", W$ M6 q" R" i, G/ z5 q) Y
  plot (gini-index-reserve / num-people) / area-of-equality-triangle' p& @! R1 K* \0 m
end7 S8 b2 e7 _& V( N: r) k; h& t
to-report area-of-equality-triangle
" L, M# g6 d! _3 b; [+ }+ X  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 u$ G+ [& L6 A" f1 f
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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