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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# k% q4 U0 X& K" Z
globals% K  N- p+ B  H% x
[
! ~2 Z5 I$ J/ }$ r* w+ k+ M! d  max-grain   
6 L2 H; \9 L6 n. j8 y; m8 @  V* d
]# p6 i, S4 R( B1 y$ W
' n8 |* @  H, ~. |6 Y. b: X  Q8 f
patches-own
( w4 h, y" v  w- @1 s4 T0 V[5 }  g0 t) J) d5 W* q& n4 g) Y
  grain-here      
. E5 y  H: ?5 o; c  max-grain-here  7 c2 ]7 C/ w# F  N
]
) Y  S; a0 J& F& p. x8 w; P+ v: s& i1 }' c5 x- D. K% n
turtles-own
& t) y0 F; C2 E5 Q' R9 @- z$ n4 E[
- r( B# K/ H) M* ?5 y  age              
& X5 S% t* ^  K4 n# [2 N2 F# r  wealth         ! w$ ]! h1 m" w
  life-expectancy  
1 I+ v+ w7 ]1 t4 n& F6 `  metabolism       $ N" F. ?( _' z- m
  vision; S0 g- Z7 i6 @9 b) M
  inherited         
$ s8 X0 ?' K" O% C' F! N$ R]
/ v* p3 c( |8 h& `# h% c8 L" {" o* J" k/ k, x5 {" a

+ }1 ], {' ]& r" D  M: J) tto setup
+ S: \& P# B+ q1 r% O- y; w4 H$ Z* M  ca: V& N2 I& `: G( G* J" N* D( e
  set max-grain 50
7 E2 c( @" ?( u/ |  setup-patches
/ F, N7 h  E' u2 d+ l" ]* U  setup-turtles. k0 H3 R- U) U* ?) J' x
  setup-plots
- S) S" [6 W( v3 s, z. S' R  update-plots
$ r3 T/ y8 b* ]( I& F3 O4 Eend
3 t1 U- V4 k: g, e! k2 u8 Qto setup-patches$ p$ e' G5 h- m# C# ~3 D
  ask patches
: A: z8 n9 \; \% l    [ set max-grain-here 0- z$ w+ d( X$ |2 v/ x7 P; B
      if (random-float 100.0) <= percent-best-land; J4 B: g' o/ g2 z& z5 [7 {8 U$ p! J
        [ set max-grain-here max-grain
% C: `4 V4 `& {8 Q6 T          set grain-here max-grain-here ] ]1 o: p! T( k* x/ U) u& b1 _
  repeat 5+ j8 Y9 M0 B* V( d# Y! X9 y
    [ ask patches with [max-grain-here != 0]8 L$ K) n0 [9 x4 J8 L! i8 l  R# [
        [ set grain-here max-grain-here ]. b8 ~& c/ H  z3 ^! Y% X' d/ @
      diffuse grain-here 0.5 ]6 K9 k; M( O1 Y$ \' G! o5 n2 ?  Q3 }
  repeat 103 S! K7 r0 o9 F* W. L% I7 m
    [ diffuse grain-here 0.5]          $ U' f& k4 k6 Y
  ask patches
; W3 w" b7 ~* e* u& |/ c) S- {    [ set grain-here floor grain-here   
  C" e: ~2 X9 I8 d      set max-grain-here grain-here      
: T& V- N4 z* x      recolor-patch ]6 M8 ?8 W/ u5 M4 Y  V+ h2 M8 Q
end
) e& [8 F* k: `, V. L: [to recolor-patch  / M6 N% m8 k; R5 ^7 |
  set pcolor scale-color sky grain-here 0 max-grain
7 ]6 Z! @. x4 }1 ]7 |end# j- x4 Z8 @) |/ v
to setup-turtles
: [. T! S8 {8 F/ S# V# u: a- [. v  set-default-shape turtles "person"
2 N9 ^6 f. G  ?* }( }5 `; u  crt num-people" {  D* \) l/ h/ @+ x
    [ move-to one-of patches  
& k% F! Y) y8 F      set size 1.5  7 T0 }4 S. ]0 G0 ]) H
      set-initial-turtle-vars-age" X6 W5 ^$ B5 L) ~
      set-initial-turtle-vars-wealth+ _; w: d8 @: V1 u8 D
      set age random life-expectancy ]/ V. e5 Q3 E+ ~' G( N
  recolor-turtles' \( N! \4 m& s5 B- b
end
0 q( r; D0 m5 B. H
8 J4 e" U2 m  k7 S4 M* [% gto set-initial-turtle-vars-age
( \& ^' U9 v, C' _! a9 n0 g: M! N let max-wealth max [wealth] of turtles
; _& C) ^) X, ~7 Z   
) {5 I: s8 N1 z7 {( x, z     ifelse (wealth <= max-wealth / 3)% L' w' Q9 G$ c
        [ set color red
8 w( M: t! R2 t4 l3 ~& S  m- `; j          set age 0
) E. {: a/ P# q5 w) f' U% H          face one-of neighbors4 3 B6 @" V% }$ n% k* T
          set life-expectancy life-expectancy-min +
: d$ K4 e& u6 P! F+ o) r                        random life-expectancy-max
6 k" B& J, {  G- T, |6 ~          set metabolism random 1 + metabolism-low
" {9 B2 y$ Z4 ^) B          set wealth metabolism + random 30
/ C9 k# ~( n5 r! }/ A% y& u% n* G          set vision 1 + random max-vision
! c! y: `; V. k$ F7 N5 w* J' W7 ^             set wealth  wealth +  Wealth-inherited-low ]
6 C" ~, Y& C7 p        [ ifelse (wealth <= (max-wealth * 2 / 3))
( R! j( @' }% S, L            [ set color yellow
. A% M, k4 {- y% p              set age 0% T- y: T1 P( c8 I2 {5 [/ o% ~) }8 g
              face one-of neighbors4 / |' a% A  ~) _
              set life-expectancy life-expectancy-min +8 ~+ b8 \. D3 A  G/ ^0 D+ X
                        random life-expectancy-max + 1: u8 Y1 Z# X! d6 D
              set metabolism  1 + random metabolism-mid
0 j% {5 \- `8 ^+ w1 C              set wealth metabolism + random 30
8 ?9 x$ C7 n8 e1 h              set vision 3 + random max-vision
4 ], J4 m* T: I$ w2 B: n                set wealth  wealth + Wealth-inherited-mid]
- Z) f, D' }: v9 V9 o! l7 S3 J            [ set color green 3 R5 M9 K. q0 t8 v  ?$ J) T
              set age 0
  Z  \1 F; D9 X: X" X              face one-of neighbors4
7 M8 p% B  M( e+ K$ z              set life-expectancy life-expectancy-min +5 d. H$ ^+ w7 V
                        random life-expectancy-max  + 2$ B8 q' [& C: r
              set metabolism 2 + random metabolism-up
* B& N, `9 F; X' h1 A" @, g) S5 P              set wealth metabolism + random 30
+ _- B7 V) z0 R7 @/ d2 |              set vision 3 + random max-vision6 d) }1 q' j1 b* O& s! Z) q
              set wealth  wealth + Wealth-inherited-up ] ] ' b8 Q2 {" ?# v3 L% W2 V6 M

  H: c: O- \$ y/ j; z7 ?end
  {) [& d7 m7 a4 U7 J% \to set-initial-turtle-vars-wealth+ L7 R  c' Z3 P1 T
let max-wealth max [wealth] of turtles
+ I/ M* W' W& k          set age 00 x( |; c0 x. G. Y
          face one-of neighbors4   y* p8 {' N0 i; q& ^) N
          set life-expectancy life-expectancy-min +
- {/ U1 ]2 d* x& l                        random life-expectancy-max - C/ P. \0 e/ p# s2 d+ T* _
          set metabolism 1 + random metabolism-up
1 g% z& p! ^! `0 X% c. J- q          set wealth metabolism + random 30
- [2 v  \& O: }8 K) o' Z          set vision 1 + random max-vision / k% |# @2 P' _2 X( Y3 x9 j
end: ~6 O  P3 z/ T& L9 e* W3 p$ \# h
to redistribution
0 `8 j# d7 S! ^7 I) n2 J* Zlet max-wealth max [wealth] of turtles
+ p( m3 L2 b" A4 ]$ ~let min-wealth min [wealth] of turtles/ N9 J# e2 ^& G2 ^& T
if (wealth <= max-wealth / 3)
1 G+ B4 n* a0 K$ Y: _ [set wealth  wealth + Low-income-protection ]) M  |6 t. P+ g' v9 _1 x: w
end
$ U4 B% }- O! _* ^          # Z- j: o/ E4 r+ ~2 c, R
to recolor-turtles
  G$ X1 Q7 p& @) w/ a  let max-wealth max [wealth] of turtles
2 o5 f$ M5 T0 J* x- E7 |* c% e  ask turtles
0 ?, i& Q; E) p   [ ifelse (wealth <= max-wealth / 3)' f, W! ~  J) P
        [ set color red ]. q6 F: A" B+ l
        [ ifelse (wealth <= (max-wealth * 2 / 3))/ v5 i- F1 Z4 p* Q2 \: w1 _
            [ set color yellow ]
9 f  a7 P. b: e+ D; J8 B            [ set color green ] ] ]
$ a6 A% Y: ?8 w3 I: K. g, a ask turtles [ifelse show-wealth?$ s, n* c8 T7 q: m/ A, `. B
    [ set label wealth ]; |& K! r, r+ z
    [ set label "" ]]- L2 y% s  w* R! m  k* u3 u/ w1 H
end
6 g1 b; w$ J3 i
9 G$ {* y) c6 r9 J+ H! Eto go
6 s. q  n5 F- P( J6 I4 g1 g  ask turtles
5 w' q* c& V+ k6 e: G    [ turn-towards-grain ]  & o7 E" v! P5 w  K. b3 N3 S
  harvest0 e4 s7 W. a1 c, X, S- F
  ask turtles+ u; o% |' R. f! J
    [ move-eat-age-die ]
! l5 M8 r' W5 ]7 m5 G! |1 [2 e7 r  recolor-turtles1 p  i0 }# ?! z/ W1 E: B
  if ticks mod grain-growth-interval = 08 W/ x4 b; o$ ?& c% U
    [ ask patches [ grow-grain ] ]  f6 R8 i3 V4 R( `6 s: H$ Q( g4 G3 W8 c
   
- f% h% f( s, z: t! y% h  if ticks mod 11 = 0( C" R# F; I; e, Q- s
  [ask turtles; R/ V' E4 F7 y- G! E
  [ redistribution ]]/ C  G6 p7 [& r3 V  R/ f* y, V; f
  if ticks mod 5 = 0
. W/ V( t9 O5 n' W  G% b   [ask turtles' l# p! I; v% A
  [ visions ]]
. ?4 [; n$ o* Y" J% L% ]# ?: ]  tick
+ n/ `! u0 W% f, t% \: {. u1 [  update-plots
0 n. X, M4 I: x( k  Rend
, \, S7 G6 O8 V% Ito visions
/ g& f. S, {$ K0 e set vision vision + 1
2 o- t9 [# D* m, yend0 ~/ F* ]2 m0 G2 M) W
7 X; \+ Z; T. G9 g
3 t, W  m5 U" C& r( ]) Y3 m
3 Y$ ]6 U$ U  r" U! }
to turn-towards-grain  " Z5 k0 g. \1 R) E% h
  set heading 0$ L. o! k' j6 U- v+ Y
  let best-direction 08 z4 Y0 g7 Q$ }) Z
  let best-amount grain-ahead
# v3 m9 [7 ?, \4 ^! G. _1 F  set heading 90' K4 T) y# x. v# S9 C& ~9 P
  if (grain-ahead > best-amount)* t" L" X) y- O; q$ ~$ q
    [ set best-direction 90& ~1 i! ]8 ]) y- E+ }* ]$ X7 v
      set best-amount grain-ahead ]
, T- i- h- ~2 @7 d6 d  set heading 180
0 Y5 H0 P8 `7 s. M, s$ X- A  if (grain-ahead > best-amount)
, G7 _7 P2 h3 H- ~+ w    [ set best-direction 180
" e6 u) m# t, c: j; i      set best-amount grain-ahead ]
) b, v  j) I! _, F  set heading 270/ j4 S# W$ H' `4 ]6 k# F
  if (grain-ahead > best-amount)( j9 `; e* y1 c6 k  Y
    [ set best-direction 270
1 C/ N& t5 A7 {$ g) Z/ i      set best-amount grain-ahead ]- _3 a& N6 G( R9 y# p& s7 y- o
  set heading best-direction. H5 S+ S+ Q# G8 M
end0 [* e( G7 o8 y" M: H- T" y% r  w

; x) V2 ], L& ^1 C/ y. q8 o3 B, T* [4 L& d
to-report grain-ahead  
1 l3 p% c. F1 z0 a2 b  let total 06 h5 \# _4 o; |4 |$ M
  let how-far 1: z& g; j; q$ S4 b
  repeat vision
" _% z3 t0 Z- V- N    [ set total total + [grain-here] of patch-ahead how-far
, \7 y4 h6 i$ P" T" Y      set how-far how-far + 1 ]
- m, _/ x! `) n# q3 X  report total
- v1 ^& ]% u$ _; j. @end
6 F: C8 }- T# l/ G- d" o
/ H$ Z. Y0 _/ P! R0 U0 o9 q7 ]1 hto grow-grain ' Y) m# Q% u! Y. d
  if (grain-here < max-grain-here)
/ E" M" C5 o( ^9 p  h3 |5 T- u1 w    [ set grain-here grain-here + num-grain-grown
! [: b: G/ r- g7 p( C      if (grain-here > max-grain-here)
1 W% r' H6 s2 _1 ~; A; |5 D* J        [ set grain-here max-grain-here ]; e& j1 r+ b( g/ K% h9 T
      recolor-patch ]
4 |' z& l- D; h+ t) \' F8 G! Y% @0 tend
% J1 W$ [. C6 e9 j. E5 O* gto harvest0 W# h" L. C- D7 m! x' @
  ask turtles
, q( p% P. G/ j$ M    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
/ |  O% S  N- `) G  ask turtles
3 ~5 [/ Z, J/ g, P    [ set grain-here 0( F/ i* j2 x/ G8 U2 f1 Q/ M
      recolor-patch ]
8 [* Y; u$ g. R- q  " u! z* M8 V0 o9 Y6 j
end) F7 U7 w! D5 u# S( a
+ O& b+ j" b9 {8 G7 v5 q
to move-eat-age-die  ; c+ T- M& W: T: Q
  fd 1; b  y* ]' |. N+ L# D6 Y3 s
  set wealth (wealth - metabolism)$ s: r! o; s. Q7 b
    set age (age + 1)
5 G/ L* c% B$ {4 z( r( D9 i/ a  if (age >= life-expectancy)2 B# S8 B5 E" `! q+ I
    [ set-initial-turtle-vars-age ]
; `/ P0 K. {7 _* N. y+ K* s  if (wealth < 0)# Q. U& i; W7 A( J' n9 T4 M
    [ set-initial-turtle-vars-wealth ]
) m6 {- e: c) |5 b   
9 n3 J" A; J7 b3 q( Y! rend
0 d( z$ F  ]6 J# B+ f& A2 R. ]# ^- e6 Y0 y  v

4 M: ?$ @) L$ Wto setup-plots5 e% Q& L) ^; A: P* r0 L
  set-current-plot "Class Plot"
9 r7 C# u7 x2 H% K# J( m  set-plot-y-range 0 num-people7 g& }9 ~: s5 ?. F4 E
  set-current-plot "Class Histogram"
. d. t# g" N; T  M) o  set-plot-y-range 0 num-people. W. k0 Z4 x' O; w, B
end6 A9 n# n( m2 X- q* Y; [. ]' `

: F9 s( G% |" y. Y, R3 H/ Wto update-plots" y1 b3 y- a- N  R( N/ E7 k
  update-class-plot
& H) D. w3 M9 _0 C$ T  update-class-histogram
$ t0 l! P. t4 B" R2 ^  update-lorenz-and-gini-plots9 X6 {' Z3 d) u9 x* w, B# c
end
6 }& K; W' t% A# m) t  U% O! J( v3 p- [- ^! M
to update-class-plot" ~6 x$ K/ n3 h) t/ C+ |
  set-current-plot "Class Plot". R9 a% f& e7 o! }/ a/ ^
  set-current-plot-pen "low"( w& D- i$ Q6 U# f( Y
  plot count turtles with [color = red]) c3 ]: ]0 \1 w' e7 y9 Y0 v. E
  set-current-plot-pen "mid"
9 c1 Y% e* ]/ i/ S  plot count turtles with [color = yellow]
# x6 D0 M9 d% _( F: w: c" w  set-current-plot-pen "up"5 x, M* ~, u. A! |& _8 L: f
  plot count turtles with [color = green]
3 J  ^" L. J+ y' c% p. T2 d/ j& U9 N. ~end3 R4 i! \6 d5 c2 P( _

8 b. _& J. e7 i$ P# Oto update-class-histogram' d( b' I) p+ [
  set-current-plot "Class Histogram"! C% I  E, Z, C) k" z4 s# i
  plot-pen-reset6 J3 r% @  P8 w: z
  set-plot-pen-color red
  f$ {  J/ h  [2 A8 O! s  plot count turtles with [color = red]' v# Q" e1 z, C/ v* b0 V
  set-plot-pen-color yellow
% A, Q: h# U1 [& P! G  plot count turtles with [color = yellow]( U& m5 l% C' \  {! u! v7 ^
  set-plot-pen-color green, r8 T& t; k. q4 e
  plot count turtles with [color = green], g' B7 p: N( M+ A( ?0 ?1 z9 H3 u* g
end
4 E2 L  N9 X- u. ~7 }to update-lorenz-and-gini-plots+ Z- ^) s" E) z6 ~3 V5 \2 t
  set-current-plot "Lorenz Curve"
$ Z' j+ P7 u2 W4 j3 J0 n# x  clear-plot5 Y: e# b( Y* v5 v# `; k; s/ I. w

# I7 ]) v; z& k. ~7 [2 j  set-current-plot-pen "equal"
+ z/ M/ e; o, g" j  H! {  plot 0
- G% V8 }6 E- q; B& C  plot 100$ V& m) ]' F7 m6 Z* M
0 k* t  X, r% U
  set-current-plot-pen "lorenz"9 V  N- E# n: j
  set-plot-pen-interval 100 / num-people0 `2 L7 I. [4 `8 v) T0 n( N) a
  plot 0  W* T% h2 {4 [) R" z0 J
5 c9 Y0 b! G: ]  ?7 ?
  let sorted-wealths sort [wealth] of turtles. j! a3 k6 v. H& A  n) U1 T; }
  let total-wealth sum sorted-wealths+ r4 R7 ^4 L4 w+ m. T
  let wealth-sum-so-far 0
9 W/ _& A$ _4 K+ V  let index 0( z5 g' `3 P$ C1 B1 f
  let gini-index-reserve 0
; V; |4 X% z; N. U! M0 A
3 w7 z% P) G' |* \" j  repeat num-people [6 \7 i3 ]# F/ c4 Y
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)3 [9 m( w/ S) \
    plot (wealth-sum-so-far / total-wealth) * 100
7 O( [9 l7 o$ p& D, ~4 l) L! r5 f) U    set index (index + 1)) [; R5 R; I7 G
    set gini-index-reserve
9 e0 w9 G) _& y      gini-index-reserve +
. q+ M1 M: F; A% V      (index / num-people) -
% ^$ P6 l, t8 x& e% y* K      (wealth-sum-so-far / total-wealth)
" f' |& y. M) J" \. A  ]
$ Z% `4 w: y1 |2 A6 }3 F. M. P+ D0 I/ Z. P( s9 _
  set-current-plot "Gini-Index v. Time"
% I( ~1 }3 |5 X  c; l- U0 h  plot (gini-index-reserve / num-people) / area-of-equality-triangle
4 K9 M( ~* O$ y& h" Tend; b$ Z  C0 ?0 Q2 ]2 V$ w
to-report area-of-equality-triangle
; e5 b2 d4 g0 [6 X2 d9 V  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
( E- K; z5 u; T! ]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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