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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
. B) Z+ o6 s8 @  D! dglobals
: x, Q& u4 I9 g[* l) z; x7 Z) O4 }6 a" B
  max-grain   
% c' a+ _/ b! W+ j! g. ~
% ?% k2 c! ]# E0 j+ [$ V0 M5 d]
" Z1 o4 M7 X/ b/ I* L( [! c
4 H5 |5 W2 e5 e6 n4 |patches-own
9 G2 r+ a% Q5 a& z- Q[
9 ~3 j/ v$ f8 [+ @/ H$ s! n  grain-here      
* ~6 k6 O. M5 N" x- S- l; |  max-grain-here  
2 w3 }+ }$ |/ I: [, L9 ~]
0 H/ P4 X0 w+ u" @4 B) p8 p% F% [$ J. G5 I; ?5 i
turtles-own# y8 i1 p% w+ Y
[0 O- W; i4 B. _" G5 ~
  age              5 [" M2 J+ J  k: J1 q6 a
  wealth         - g9 Y( B; f9 i- l3 I
  life-expectancy  
- E& ~+ T2 A/ A1 L* N  metabolism       3 }3 c4 {) f  \5 x" f
  vision
7 m) o5 N; K$ w- ^1 n( }6 x  inherited         ! B' i: f( X  Z% B' ?( |
]
; m3 l! \1 U8 Y  R% {; r+ u
: W- [" b0 Z1 Z+ u! G4 Z0 O+ d6 L2 k) ]( f) [
to setup: E- u3 e9 o3 X) Z: }, |4 X$ X
  ca
" V9 m! A  Z6 v4 t' \6 M  set max-grain 50: }3 p/ P1 m  _: W  k. e
  setup-patches! x" N# w7 D: @. Y" {  }
  setup-turtles
7 H( ]& g* X8 S8 J8 y0 A  setup-plots
$ j$ F0 T2 [+ M1 _! K0 H& a  update-plots
* w" c2 Q' ?4 w( T+ D8 c9 @$ I4 jend- {: D5 F6 J2 ?" [9 y  g
to setup-patches
. V& U7 J* i3 _: ?$ Z  ask patches$ M1 R& q4 Y7 D
    [ set max-grain-here 0$ m' ~8 G/ J, t6 P
      if (random-float 100.0) <= percent-best-land
) s# T% |: k! ~4 J        [ set max-grain-here max-grain
4 {  h+ k6 ]) h1 e/ j          set grain-here max-grain-here ] ]& f, U/ \3 x& y! d3 S* X" G
  repeat 5
  Y, D7 w+ Q. X/ N' }8 b" G    [ ask patches with [max-grain-here != 0]0 Q7 n" o( a2 W
        [ set grain-here max-grain-here ]( T& T% R+ [7 r
      diffuse grain-here 0.5 ]( U5 B! ~9 a+ R! A* v7 X
  repeat 10
! R; V" g. I0 U* p: {    [ diffuse grain-here 0.5]          - T; z- c4 a. b8 v( d* Z) s; h, I2 ]
  ask patches1 j# F# n: ]: j! o, v( X+ O
    [ set grain-here floor grain-here    * ]4 n% N& D. u0 p; S9 v* [: P
      set max-grain-here grain-here      + h9 M# E2 E/ u" b
      recolor-patch ]
* M$ l5 d' A( k8 v7 U% z' u' Bend
/ _0 L4 m- `" _5 q- \4 Lto recolor-patch  ! b# U" n& D$ |) n, q7 E
  set pcolor scale-color sky grain-here 0 max-grain
1 ~) ^, G! {: a1 E0 a$ Aend
1 m* ?! ^! ^- h9 s0 Gto setup-turtles
  L% G8 o" g8 b6 e3 H  set-default-shape turtles "person", t& t/ U9 \& x! O7 X. C! ^' R
  crt num-people
9 u, A+ P- u2 [8 y8 s( `/ I    [ move-to one-of patches  7 G- M. P* g! m; o
      set size 1.5  $ U) u8 s' X; W5 d9 J
      set-initial-turtle-vars-age0 c! L4 T8 E8 r! |: M9 b; A: F, e
      set-initial-turtle-vars-wealth
  F) T" g0 z7 X% p      set age random life-expectancy ]8 \  L0 _: S2 ]6 K" R: d
  recolor-turtles3 l; c; k8 s* l
end
9 H3 y: f2 v; G: M7 G5 p. K4 m: X  @  |4 r9 R
to set-initial-turtle-vars-age
6 s8 w" q: p' t$ o8 J, Y$ B7 ?' T; L let max-wealth max [wealth] of turtles3 i$ p# I/ I. y* K7 N# O
    ' \% O1 f4 t7 U7 Y* D
     ifelse (wealth <= max-wealth / 3)- ?+ k4 r# h, g& N' U
        [ set color red
9 }+ c0 _+ j' K) P          set age 0
# A" p" E; f- J6 d/ E          face one-of neighbors4
4 A& ?* Z5 P; V  {' w; }8 Q          set life-expectancy life-expectancy-min +1 }: e6 J8 t( `. b) x. ?
                        random life-expectancy-max
9 k: `' o' U6 f  C7 C/ ^          set metabolism random 1 + metabolism-low
0 n& Q  Z6 ]$ V3 }          set wealth metabolism + random 30
6 _. O0 l4 Z) k& z* R2 \          set vision 1 + random max-vision
0 Z% R6 Q  y* M( z3 w/ S             set wealth  wealth +  Wealth-inherited-low ]
$ }( I, W! F3 q& c1 e        [ ifelse (wealth <= (max-wealth * 2 / 3))
3 g+ q( }3 {8 o% W6 }2 V: m            [ set color yellow
1 k6 [! n' `+ R! ]              set age 0
" Y6 t1 k+ |2 L              face one-of neighbors4
; D& T: ^0 N2 _0 a8 \5 h              set life-expectancy life-expectancy-min +6 [; p: T) f! Y
                        random life-expectancy-max + 1
" ^7 ^, B# g3 w( e; X: o+ q2 C              set metabolism  1 + random metabolism-mid
0 z  r$ j4 B/ ?# V" }$ ~& n8 D              set wealth metabolism + random 30
" u+ Y; ~- }$ S7 ?- ~! N6 h              set vision 3 + random max-vision  h# W0 E" C) v! V0 H* ]9 l
                set wealth  wealth + Wealth-inherited-mid]# @) f* u4 ]* S
            [ set color green
1 G5 _* m0 V1 |$ P              set age 0
! \9 U1 ^0 w5 |- X              face one-of neighbors4 1 F: t, Z" b; H. p
              set life-expectancy life-expectancy-min +2 j& s7 ^" {# s% i
                        random life-expectancy-max  + 2
- x7 w5 _/ y9 m( P- s$ ]              set metabolism 2 + random metabolism-up
0 E) d* W8 F) l3 f( m3 ]6 X              set wealth metabolism + random 307 f- i( S; i) X, `
              set vision 3 + random max-vision" I5 K* e- a% g3 P( `
              set wealth  wealth + Wealth-inherited-up ] ] * F  Q5 x) j$ `- u) N' Q1 s5 ^1 j
/ M+ e0 M3 d8 g$ u
end0 j! F# F6 P2 K9 A0 w3 x
to set-initial-turtle-vars-wealth
7 S- O4 T& o- C9 Y let max-wealth max [wealth] of turtles- Q8 e$ V) a; R( V8 @; C1 k
          set age 04 m4 R. \5 H- J5 `
          face one-of neighbors4
- z& E9 t  n  _% w/ X/ W          set life-expectancy life-expectancy-min +
3 x% q3 y& T) }  h7 U& s                        random life-expectancy-max - j9 `7 _7 S7 Q& i$ C, A7 @! n
          set metabolism 1 + random metabolism-up
4 a( u/ ^7 s) g+ `/ l3 A# d1 T          set wealth metabolism + random 30
1 T+ m2 x6 Y8 j5 F7 I          set vision 1 + random max-vision
5 g* t' ]# P% W* }* xend0 }$ ?: x. v8 M8 c- s$ y8 u
to redistribution
; ], m! F! [' I$ I- Y( Q2 _let max-wealth max [wealth] of turtles& s0 o( y5 Z6 F5 _: {1 {1 {! |! O
let min-wealth min [wealth] of turtles
" D* G! v$ m, O& A: l0 R# eif (wealth <= max-wealth / 3)0 `! _- E4 i& Z2 ]' [# t
[set wealth  wealth + Low-income-protection ]
0 g+ o% _6 m6 S0 m, k) f$ B4 @end( O8 U( {/ F* Q! w8 P
         
: _8 A( n4 ]7 q4 Y$ W: h- Lto recolor-turtles5 x0 i7 d6 t7 H1 ^1 ?4 c# l, Z: r
  let max-wealth max [wealth] of turtles) c+ x; w; ]) V5 |( u& @3 G
  ask turtles
. c9 T4 F# D/ [' ]7 o9 h. R4 u   [ ifelse (wealth <= max-wealth / 3)
! S% _5 E" f  N$ ^8 e        [ set color red ]/ `# o: j7 a; c: A
        [ ifelse (wealth <= (max-wealth * 2 / 3))
; e$ w7 B8 n5 }; I9 `# o  u            [ set color yellow ]
/ Y- ^) e7 |- Q, M- @9 ]3 A# s            [ set color green ] ] ]" ]6 c+ x9 p% D: {
ask turtles [ifelse show-wealth?: i, w# K. Z2 @( a1 H; x
    [ set label wealth ]
: s" p+ |5 r; B& z4 s3 Q% R    [ set label "" ]]+ Q" l) ^5 {5 {8 z
end
! @- K( m" j4 Y5 b$ f+ z
( e( p" U$ {/ d, B+ B7 Qto go
; k& k  I& `4 m, S: e6 V/ |  ask turtles* C4 a- N, U2 d. J4 |9 S5 c
    [ turn-towards-grain ]    k1 j$ C1 V$ M5 O
  harvest9 _3 ~0 w# F( U8 T2 t
  ask turtles
% B4 x2 I6 B6 J4 g9 e    [ move-eat-age-die ]2 u, @1 h* b7 C7 r, y
  recolor-turtles
: W8 t1 {' z! d  if ticks mod grain-growth-interval = 0
5 p8 h4 p3 O$ k! c3 K" E    [ ask patches [ grow-grain ] ]
  h7 c! ?5 p' L# x   
3 k& b# z3 ~, x6 z" u+ v  if ticks mod 11 = 0
( l1 Q+ }  t- H  [ask turtles$ Z: W! \' N! ]$ X$ g
  [ redistribution ]]/ f. B' G) {, y
  if ticks mod 5 = 02 f/ w8 b( E2 h. b: A
   [ask turtles
+ }( O3 |) y$ M/ K( U- n. I7 T  [ visions ]]* G& L: J5 K5 ^" d1 ~
  tick
) u+ a2 G  P0 g, W3 R  update-plots" I4 M" P# ]" }6 u
end( o6 ]) k; l0 s( I7 R2 \$ g3 V
to visions( N  x) s; x/ E" T/ G) i: p
set vision vision + 1
. Y- y1 E) N) F: t* E# l4 {/ @end' b5 a* s3 {  U/ ^9 G$ e/ o; T1 I
% `3 r. X( O; ^- J4 y
% A+ K/ `+ O9 w9 G) N% ^4 J

: G2 B  E4 R% G7 I6 x+ rto turn-towards-grain  . p# Z9 U& z  s, T  r/ a5 B
  set heading 0
# R/ h" ~2 |+ k( C0 N8 `  let best-direction 02 A' I, y# X8 V
  let best-amount grain-ahead
- C6 |/ v& ?$ F. ]  set heading 90
, f+ |7 C. F6 _2 I, b9 o4 |  if (grain-ahead > best-amount)
. q7 i6 j! W  k) f: _/ s    [ set best-direction 903 G& p$ D4 v1 A4 u& g- [0 C+ \6 p+ f
      set best-amount grain-ahead ]
- O, q  _- U0 M  d9 j/ m8 u  set heading 180
! ^5 Z: M3 X+ Q' [  if (grain-ahead > best-amount)
. J" b0 E6 \0 H8 k) W+ v  Q( \7 K    [ set best-direction 180
0 u( u- D- m- R8 ]( N. H      set best-amount grain-ahead ]
4 A2 b1 b( z' F4 u  set heading 270% [8 p" {$ d5 u( x3 h/ o
  if (grain-ahead > best-amount)
! ?# f% ~; b3 R# z& p3 }: X    [ set best-direction 270
0 i; ?& M: c2 b) K      set best-amount grain-ahead ]5 x- `' `! v6 i% o" m; O
  set heading best-direction- |" F: `$ E" |1 E6 d, z
end
4 [" }, [- |0 v1 r* t
' m0 H3 h& p+ D6 ?+ y2 I% i8 m* e: g
, T) V7 l0 j0 d8 Pto-report grain-ahead  " x# o2 i6 A9 ?3 r* y6 M
  let total 0
) O' z3 \" y% ^" H3 f/ k6 ?  let how-far 1/ i% Z4 S# @) m: ?
  repeat vision% W3 J: H( [' N' g7 l. O- ^
    [ set total total + [grain-here] of patch-ahead how-far9 b8 y5 f6 b" q7 f9 b/ y
      set how-far how-far + 1 ]- t# d* _$ w) _4 g3 E" V
  report total9 |0 r6 W3 j* M7 {$ t
end2 c4 w9 i9 b* x! _3 E

2 E8 X7 t& f  b( k) ito grow-grain
2 O+ x+ q$ j1 n: @  if (grain-here < max-grain-here)
) b# v# d9 A. S. ]+ W% W/ M- c    [ set grain-here grain-here + num-grain-grown7 m; {/ D" e2 z! O3 ^8 U( n
      if (grain-here > max-grain-here)
  g" ]  B# g; x0 t, `        [ set grain-here max-grain-here ]2 R. o6 Y0 _9 ^  G( O' n* N0 ?0 }! C
      recolor-patch ]1 @- m0 G9 i! h. |* H$ P8 x
end
0 s" X. t2 X" j- x3 m8 M7 H6 Yto harvest
& k8 @+ w0 x# g8 y! u0 D7 U  ask turtles  Y* t1 y/ F' W9 z7 x0 p  b
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]2 ]2 H* g8 A" w/ F$ M
  ask turtles
' ]8 b$ ]4 }3 A- K    [ set grain-here 0* d* J; D  f4 I: F5 A3 @
      recolor-patch ]
* e3 t3 O, w) m0 E  n" s$ y$ Y  
- F% q# R2 l+ S7 ]! }end
1 ?0 s8 s: U% M& {9 |4 q8 Y& u) M% k
to move-eat-age-die  0 [) G; _8 z4 r' J9 ~! j  @
  fd 1
% G& i% O8 j4 ]  set wealth (wealth - metabolism)
" n) |4 M# ~/ Z( i: x    set age (age + 1)- P+ W! K. a% G' F* q9 j
  if (age >= life-expectancy)# I; q9 P5 H9 {: R% N4 f' H3 Q
    [ set-initial-turtle-vars-age ]
1 l+ u4 [) _2 V1 _  if (wealth < 0): V4 {4 V) M9 ~; y2 T* R: l
    [ set-initial-turtle-vars-wealth ]. V7 L' }9 B2 }( H* N1 F
    2 F: R0 c# w4 T4 ^1 M4 s. C
end
$ f$ F+ m1 ?( a9 e( s2 R( e  r6 Q9 D) K; Z

8 j2 {1 b% ~) S/ E6 Q, ]to setup-plots' O& Y" a0 T) `/ d( u
  set-current-plot "Class Plot"
" ~; N' p+ G  R: X& R  set-plot-y-range 0 num-people* z: [1 y' }6 m) K( a+ w4 F
  set-current-plot "Class Histogram"
( x+ @  w* A( t# i/ b; O! Q) I  set-plot-y-range 0 num-people
& G+ }0 m  l. J+ R' g; t0 N& b$ ?end
9 k  l. R, A* l% G- o! }! G1 e
to update-plots
% Z, Y6 ~5 Q5 U  p! R7 j  update-class-plot, v& I  C  L  L' y9 w
  update-class-histogram/ g& C, i" N% A: I3 K6 r% \
  update-lorenz-and-gini-plots
* b) R- f( T3 s9 fend# `0 H% o2 t% M! n

; g" \3 T  ~3 Lto update-class-plot
0 E* e/ |$ D- K0 W# ~/ w  set-current-plot "Class Plot"
! j9 }3 ]6 J2 |' i9 ^  set-current-plot-pen "low"$ u! C) P$ o2 T, k5 d
  plot count turtles with [color = red]" a- ^* w1 i/ l! ^% q# V
  set-current-plot-pen "mid"
# X+ q$ X' H( a1 b1 n+ _  plot count turtles with [color = yellow]' p; a! B# _0 `: V" B. j* r
  set-current-plot-pen "up"
& N. K8 t( z1 t9 j. e- B- N/ [. z  plot count turtles with [color = green]
% o% `+ m: @3 y9 p0 i2 Uend
/ \, Y% ^* G9 E# ?3 J/ h
3 a9 v. n- F+ m( D( A# Lto update-class-histogram1 L/ V' p+ }- y4 e* O2 I) b
  set-current-plot "Class Histogram"
" |8 {  R; u) i8 i0 J! O) A  plot-pen-reset  w1 C; ~5 k( x4 O1 t; L1 A
  set-plot-pen-color red
) G! M. R2 _5 Z- B5 D" [/ Q- l* ?  plot count turtles with [color = red]
3 U! W$ T0 E7 ^# g9 m1 a8 A  set-plot-pen-color yellow4 r9 x3 S% ^7 ]1 ]% i# e
  plot count turtles with [color = yellow]) \2 o+ I1 G6 V/ ?! t  M  U9 E0 ^
  set-plot-pen-color green: g( ^, M2 Y8 |; ]. I" A3 e
  plot count turtles with [color = green]
7 j- W; ^1 O" ?' iend  g; q3 p1 i3 ?  S6 n; S- o
to update-lorenz-and-gini-plots
0 f- q+ i( v; v/ m  set-current-plot "Lorenz Curve"
3 O8 ^0 L; t9 }  clear-plot
2 C( @  |( J. M8 w9 ?+ O2 u2 e5 S: h/ L2 E6 z1 Q3 t
  set-current-plot-pen "equal"+ Y- y+ r- h% A4 J- }7 S" P
  plot 0
3 y! ?! q+ ^2 Q& c8 d6 D  plot 100
( t2 M& _( z( T* c7 `2 w0 u( e3 I1 ?- [! G! d% Z/ l' f
  set-current-plot-pen "lorenz"
4 R; Y0 p7 O. a' e. j. K  L  set-plot-pen-interval 100 / num-people
$ V0 n* y1 l5 ?4 b* v  U2 x2 Y  plot 02 e# O1 i/ @1 L2 |' P! r9 J

4 j: d# }/ b1 b2 n  let sorted-wealths sort [wealth] of turtles
6 N9 M2 k/ R5 q! L  let total-wealth sum sorted-wealths
" B3 Q9 l" p* y( F" R9 h  let wealth-sum-so-far 0
9 t* i$ R. u0 _4 B- d3 U# W+ G6 E' U  let index 0: i2 q' y2 _, h4 h, C, G% v8 \% Q
  let gini-index-reserve 0
  h5 {: u! Z4 A9 C+ s2 x! E3 x% ^* i0 L! u6 B! {
  repeat num-people [0 C) N  b5 P7 Q+ u# Z1 r& b- e
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
+ J  B4 s7 @; o8 O8 k    plot (wealth-sum-so-far / total-wealth) * 100
5 I2 o7 {! p! L7 s: n6 v" a    set index (index + 1)( v  G. w9 h+ Q# g
    set gini-index-reserve
, i, [# W9 R- Y0 j      gini-index-reserve +
$ z0 c+ z/ ?7 h: W6 ~/ g      (index / num-people) -$ I4 o$ U  w9 G( B
      (wealth-sum-so-far / total-wealth)
$ }  U# J+ f# i  ]3 {' G! z4 j7 w$ h: C9 Q

& @9 T- u3 g) q" Y" W! X2 u  set-current-plot "Gini-Index v. Time"* x& I; P7 S  f4 d; P
  plot (gini-index-reserve / num-people) / area-of-equality-triangle4 U1 i! ^# q* t$ f* g- w( C: `
end
% D1 n" k+ O: Z. E5 ]( V; o  e5 }to-report area-of-equality-triangle
) z/ K3 X) J' F7 ~  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)* V/ K9 P1 G- J% m/ U
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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