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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1 U( d( `" G# R  g& _+ R
globals: X* r: Q  b, J" h$ Z2 N, n- O
[! S# x1 p, x! |5 _
  max-grain   
. u, ?3 S( e( l1 W* [
  U. K. ?) ~3 y]: W! X1 c: v" c6 F# d2 E

+ F2 o+ E2 \9 M2 X' z$ ~  Ipatches-own# y4 i. G9 P" d
[
; k/ K0 P5 \! n" E& L( x  grain-here      5 N, O# Q8 n1 f; i# w
  max-grain-here  / G: A7 i: S- @
]
4 A' H( j( I8 _# z7 z
9 B! D3 L6 ]6 q5 A: B9 O  Xturtles-own
7 A- j( D- v/ {* s+ b5 v[
9 d! v7 A' k  K3 j& N9 q; ^9 _  age              
$ A* V1 h$ ?2 z) M7 n5 K( p. M  wealth         
3 G3 s6 C* c: L* e  x2 s/ N! E8 i  life-expectancy  & Q) ]7 M3 @3 R7 M* C( ~
  metabolism      
6 v3 }' f% E1 M' l" ]& C! z" X  vision$ O( d! ~, ^  Q. V& z6 T3 n
  inherited         9 m; p6 N: I( W5 A* b3 v
]7 H3 N5 P8 |6 |& f
: I) ~. U, m4 n- p& ]6 B/ N+ h

! [* f  F% S3 n! `# b0 Nto setup5 u/ H  @: f( l+ l, P' z8 C
  ca
8 H! F: f6 ?. [- e  set max-grain 50+ c9 B# n. G) b
  setup-patches
5 I. S# ^) N' t- W0 w- B' W  setup-turtles
- N" v" e4 V1 [) a  setup-plots
, A$ X+ Q% w( ^5 U  update-plots
/ V( ?4 `: a* lend- a! U& ?6 B# O& V& U
to setup-patches
+ [; Y# T  t+ h" h7 \; w0 b1 t  ask patches" m# b  P; ?4 R6 M. `2 R
    [ set max-grain-here 0
/ N4 `/ S& P1 ?6 f* J      if (random-float 100.0) <= percent-best-land0 ?+ O/ ]5 k" h3 H: |
        [ set max-grain-here max-grain
+ m6 u; A) p3 U1 T# k" E          set grain-here max-grain-here ] ]
. b' o" T1 ?4 N5 d/ z  repeat 5
- s8 ^4 \3 {' v0 J1 ?    [ ask patches with [max-grain-here != 0]  H; E: s! {; O9 m9 {/ E( g
        [ set grain-here max-grain-here ]* Z4 n1 C3 k& u+ w; _
      diffuse grain-here 0.5 ]/ c# B9 w" ]& Q* P  t- P
  repeat 10
  J4 Z* b0 [  ]2 N% v7 j# `    [ diffuse grain-here 0.5]          : i: R9 t4 w/ f5 s$ d; n0 {
  ask patches
8 i+ G9 m# w* e    [ set grain-here floor grain-here    - o: ]/ v; i, O' k4 @
      set max-grain-here grain-here      * Y7 P7 r4 v! \) M
      recolor-patch ]
* ]# t2 Q# x+ T' C4 e: M, p: V/ Qend+ u8 |* h, a; @5 \$ D( T) F
to recolor-patch  
5 W2 L# z. m) a3 ?  set pcolor scale-color sky grain-here 0 max-grain
7 y, ]% I/ F* F) f3 x1 C- k& {' @6 bend+ X6 P6 q" f" @
to setup-turtles
/ u; D, F' d3 j' [  set-default-shape turtles "person"
6 }: {- |: N. Z' G1 v( c, A  crt num-people
3 k/ B: D( e2 ^% S* S    [ move-to one-of patches  
. R" i8 l' U8 B3 H! y6 ]+ [! {      set size 1.5  / b$ @  T; q9 X% G
      set-initial-turtle-vars-age- C: Z+ X' C8 L) ~: @1 h) K& w
      set-initial-turtle-vars-wealth
8 S( |% s( D0 A4 z% z6 {; L      set age random life-expectancy ]* y+ s! S9 b2 ~9 G. d
  recolor-turtles
6 W1 L! U- w8 C8 a  B5 o) ^end' z7 M) v) u* R& r5 c
3 v( @! X$ ]5 m7 z9 y
to set-initial-turtle-vars-age. @4 t0 f! Y) k5 A
let max-wealth max [wealth] of turtles
* i* C% ~4 P; J   
9 h2 b7 l( H- T. |' j4 p# u2 x+ y     ifelse (wealth <= max-wealth / 3)' B* q3 Y3 Y1 c5 q$ ~
        [ set color red
, x. B& Y$ f9 P4 x          set age 0
+ \, X$ \/ [% K/ D          face one-of neighbors4
; Q& S( n/ |2 Y5 U- |' n          set life-expectancy life-expectancy-min ++ f9 X4 T+ h" ^* P0 E
                        random life-expectancy-max
2 f. t& z8 P6 U+ U7 H, b) ~          set metabolism random 1 + metabolism-low
$ P9 e* @0 n$ B$ C% D8 q5 S          set wealth metabolism + random 30
3 u; \* A+ E3 H( m. O8 p          set vision 1 + random max-vision6 r; W, B9 L- }* Q" i% w
             set wealth  wealth +  Wealth-inherited-low ]
+ l" n) O" I; y1 i- {  C        [ ifelse (wealth <= (max-wealth * 2 / 3))6 ~5 V: W5 d8 O2 K3 S0 c' a
            [ set color yellow / b2 P8 D% r% Y: q. ]) r  W
              set age 0$ [9 \/ a9 d8 n: O! D0 O9 H
              face one-of neighbors4
  |2 C0 t+ I6 f1 R  i8 V              set life-expectancy life-expectancy-min +
0 n! T! a6 M, N# N                        random life-expectancy-max + 1
4 j5 Y* `7 u3 }7 ]# N* s2 t              set metabolism  1 + random metabolism-mid
, N) D5 ~+ z/ N, L* a% e              set wealth metabolism + random 30
) e6 i9 j$ \7 N* p              set vision 3 + random max-vision( [% X5 _4 m: B, N+ N2 k) F9 \3 t
                set wealth  wealth + Wealth-inherited-mid]1 H2 _) ]' D/ ^
            [ set color green
* I( {. Q4 l/ ^$ u              set age 0
7 z* N2 V+ U8 C  R              face one-of neighbors4 - t* ]5 z7 w) H% k7 _
              set life-expectancy life-expectancy-min +3 @+ N. K, }. q
                        random life-expectancy-max  + 2
7 w9 t! J/ H7 f7 @              set metabolism 2 + random metabolism-up
7 {: _3 p. V$ ?3 |              set wealth metabolism + random 302 b( G8 Q9 E0 Z
              set vision 3 + random max-vision
: V4 Q7 x% ~4 f* S0 P              set wealth  wealth + Wealth-inherited-up ] ] * Q. x6 k% c9 a1 ]
6 p- w- o, {1 o7 o8 E1 f9 _; `
end4 N) j6 Z4 B1 W; Z  I  ^
to set-initial-turtle-vars-wealth/ I8 T8 K/ h) i, v- n  t0 I
let max-wealth max [wealth] of turtles4 a* O/ C  Q/ v- P3 ?, a
          set age 0
: k7 m/ {+ Y8 P' O4 I8 L% J          face one-of neighbors4 ) Y4 I& ^; U8 W  A7 G1 Y
          set life-expectancy life-expectancy-min +9 B& p7 A: \) @! g8 U1 M
                        random life-expectancy-max 7 u& @6 w, ]4 C
          set metabolism 1 + random metabolism-up9 _% N" c( x& N1 d; H% U5 C
          set wealth metabolism + random 30: {9 I1 S5 L! G3 J
          set vision 1 + random max-vision
% {5 O- U6 I  {! ~, v0 _end8 Y+ v" ^) O& @. h7 K! c. L
to redistribution1 q+ v  e9 P9 Z5 d# X
let max-wealth max [wealth] of turtles4 v  t! V! W/ \% Y
let min-wealth min [wealth] of turtles  D: P/ p; j3 i" z8 y6 T% `
if (wealth <= max-wealth / 3)
+ w0 s) h7 q$ ]7 [9 _: ]9 {5 V [set wealth  wealth + Low-income-protection ]0 u6 i' S% n) p' e6 `- d
end
* q6 T2 B8 p5 |. M2 u: D5 X- {         
4 s$ l9 y5 K8 D8 Y7 ?& \to recolor-turtles
( f: c9 R2 Y9 Q  let max-wealth max [wealth] of turtles
- U5 z1 D: h' |- v3 |2 f  ask turtles
  k. x4 V! }$ Q& K1 G   [ ifelse (wealth <= max-wealth / 3)
- J6 f1 A; j/ S8 p" R        [ set color red ]
: Y; I, @3 q$ _* p        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ ~: W. @# e& K6 R* T) ]' b- o            [ set color yellow ]
: d  q( h2 X5 U+ \* F+ \            [ set color green ] ] ]& D, l/ g% Z( d4 g1 d7 }9 F
ask turtles [ifelse show-wealth?
2 E" m2 m- i, t8 Q9 C9 w" C    [ set label wealth ]
0 S; h. Z) x8 r. ^& q) l    [ set label "" ]]
8 W' {: w3 o: Yend2 g! k0 N; w7 {6 n4 |5 ?* `
3 Y! h2 b! h" ~. Q  X9 E6 t
to go
7 J0 ^! ~% o- q) S0 D3 |  ask turtles' N6 `' U# f' f" d
    [ turn-towards-grain ]  7 g0 s7 M( f. n" d- R
  harvest
* ~: Y9 ~$ V( t  ask turtles
& w* T; c5 @2 N8 N3 l, U    [ move-eat-age-die ]$ K8 I/ ?2 L; c0 }8 x
  recolor-turtles; j4 X. j8 H- G8 X+ N
  if ticks mod grain-growth-interval = 0
2 P& x. O& {8 ~. f$ C    [ ask patches [ grow-grain ] ]
- H$ a9 A9 a. Q* G   
; [. E  S& N4 [( @' A, Z) D4 a  if ticks mod 11 = 00 X" e5 R% |# o
  [ask turtles
" n+ I) L2 I9 k' |; D  [ redistribution ]]
6 e$ m) R- W2 O# P  if ticks mod 5 = 07 w8 E( r, \4 w0 y, H0 T% J
   [ask turtles, r# p; ]2 N/ s4 \: w. v2 g* H7 g3 d, ]
  [ visions ]]7 K: H8 Y' }. N* H6 c, B
  tick" d1 i7 X' S5 |  M+ t) I# O
  update-plots/ U  w) E4 H# R% d% G
end5 G0 S" T9 K0 G( B. Z: y
to visions
/ Z! z- B! A+ G9 D2 N" D, o set vision vision + 1
5 ]8 ?9 h8 H9 b$ H7 C: C0 aend( ~. M9 a& V1 e! Z5 ^
8 f, m3 r' h- o& V  K

: K  O4 T9 P" ^, T7 |( c. s
/ i* E3 G% _4 J9 O7 jto turn-towards-grain  ' @' c1 I* A. h; Z7 n. e" a. b" L0 n
  set heading 0
7 J$ u* Z1 s6 ?5 T' h7 n3 k  let best-direction 0
8 M- A# T5 J& V6 |1 Q7 W  let best-amount grain-ahead$ K( X% d0 l# F& w. v: ^
  set heading 905 y$ R, t+ B' F5 U
  if (grain-ahead > best-amount)
" s) _9 G# x6 j1 e0 Y    [ set best-direction 90
: j7 a# d* N5 ]) Q  V. ^      set best-amount grain-ahead ]& I# w- j* F; M1 \
  set heading 1804 |* P5 y  i5 q, @
  if (grain-ahead > best-amount)/ l2 e" Z0 D3 C; n. `# E
    [ set best-direction 1808 i7 Y+ g. U3 J$ K  l/ }" `6 x& x
      set best-amount grain-ahead ]# Q6 B0 s4 l, o  z8 _
  set heading 270
0 Q7 g9 {. B' v  if (grain-ahead > best-amount)
: c: I( r7 Z1 C0 M4 Y    [ set best-direction 270
) w; _% f+ z9 y7 ^% |4 c' |7 f      set best-amount grain-ahead ]3 Z2 v. e: d5 j  y  w( C/ R: y
  set heading best-direction8 B) o/ k4 {( T  G$ i1 c; U' x$ r3 A
end- |* q/ K" p4 v5 p
6 U- g3 m* t% _. k, T& ?

* J) w# h) {+ ?to-report grain-ahead  9 @/ |# N& x7 V# G# b* T  o4 `
  let total 0
: M5 x  z* f2 }7 U: m/ l" D  let how-far 1
+ F) D/ m* A- X, J! |  repeat vision
  Z8 E/ w* T/ |7 G) }    [ set total total + [grain-here] of patch-ahead how-far  ?4 b' n: {5 H
      set how-far how-far + 1 ]( K0 Q2 D+ B9 ]  Z
  report total* A$ V4 a7 e3 a1 I. h, o, B
end
2 {4 U; E9 F! f! N
8 z, w9 _2 F- p- b2 {( Jto grow-grain
8 e( g) ~+ N; ?; u$ x- F  if (grain-here < max-grain-here)
2 t5 Y% Y6 T' e7 E  P0 \    [ set grain-here grain-here + num-grain-grown
5 I/ H" \1 q, |! [      if (grain-here > max-grain-here)
% ]+ Y6 _& a. W6 }2 l3 `  m        [ set grain-here max-grain-here ]9 Z0 M- ^7 t8 u  M
      recolor-patch ]
* v2 J4 B& I8 ^end
. B+ k0 J1 b% d( N# n3 U' ~- yto harvest
# B' i" O9 a2 L  ask turtles& b# Q7 B9 X$ a# C8 H$ H- O
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]; r# G2 Y% ^0 q9 m
  ask turtles: w, w8 Q- q' i4 Q, K. j8 W5 y
    [ set grain-here 03 ]) I* p) h/ u4 D
      recolor-patch ]
9 ]# A" w1 {0 `  
$ j3 c8 R: L/ T3 v1 ~' }# d9 a& tend* T0 o8 ?$ w/ C4 Z3 M/ X6 H
2 p* ~  L1 i# s% C. h/ O+ i+ H! ?) l
to move-eat-age-die  ; j" Q8 y/ H+ d2 e/ [5 E& J
  fd 1
& I( r2 K1 z; s  t/ Y  {# X  set wealth (wealth - metabolism)6 A; z$ s3 Z- q
    set age (age + 1)
6 Y- L) P9 H; z7 t1 v4 t' h  if (age >= life-expectancy)
  w3 F0 S# b  z: A! d    [ set-initial-turtle-vars-age ]# [/ ]2 `9 ^; O% S
  if (wealth < 0)& h( t1 _% H" k& }
    [ set-initial-turtle-vars-wealth ]) G! T3 f6 `' S6 d* f. C6 l2 M/ ^
   
4 D, ^4 w  c" X' @9 m3 E- J! ?end
! q5 P9 T- l3 s8 B4 r9 _% d3 U6 V( E3 u' Y7 ^) q# r/ ^
4 ~0 T' b4 R4 ?6 I
to setup-plots
* A. _7 |$ K6 C/ m0 x( x, @  set-current-plot "Class Plot"6 R0 W7 i8 r, m: o0 `
  set-plot-y-range 0 num-people
/ m( b, h! Z  i2 \  set-current-plot "Class Histogram"
6 b% o# e" @# T4 e4 O5 t  set-plot-y-range 0 num-people# w' t; X4 S7 @: r0 v; g- v
end8 B6 a; X( X$ F! v

1 F3 K0 u8 E' oto update-plots
- G- w, g' S8 n* `) _  update-class-plot
* q" h$ s6 v: A2 ]+ W% x- S  update-class-histogram3 r6 r- @. P/ {1 G& U1 q# ]" e# [" q) q
  update-lorenz-and-gini-plots' o& Y* r& w1 r& p9 T* e+ s
end4 Q& u3 @9 a! ]/ C; R. K# M
# N) `5 i& K; R  p
to update-class-plot
7 M" }# o8 x; r* S  set-current-plot "Class Plot"
8 n8 R) }% `' x# i# M% I8 {; ]  set-current-plot-pen "low"1 v) n% R1 S; Z4 w6 O
  plot count turtles with [color = red]
+ g2 @3 }* V- q  set-current-plot-pen "mid"
: N/ k2 @+ P9 D; L/ F8 D# R9 C$ u6 h  plot count turtles with [color = yellow]9 P; u1 r1 l( J- e* O* k. o
  set-current-plot-pen "up"+ B* s  V" K" m) D  K
  plot count turtles with [color = green]
- p- v1 _  K( x( fend$ |: N' K; \. Q) \( c8 ?2 t
) j& }$ t" R' \- j6 z7 u( v% k
to update-class-histogram
! w+ ?6 n2 ~1 L9 N3 p# b  set-current-plot "Class Histogram"
; b4 m. `( x( M" f* ]  plot-pen-reset
, k* ?9 }8 P6 h$ k  set-plot-pen-color red, K0 i- R1 Q0 f2 v# c, u' U
  plot count turtles with [color = red]
0 w# N, |/ F, B$ t5 K( O  set-plot-pen-color yellow
/ e3 C5 [/ e: q. B9 ^  Z" a6 v# m; S  plot count turtles with [color = yellow]
/ x  {3 J0 a; X' q  set-plot-pen-color green( S2 s1 }* ^" ~
  plot count turtles with [color = green], I5 k; C# R9 A1 |+ A4 m0 c
end- j3 C# l, ^' H5 L
to update-lorenz-and-gini-plots* a2 w, a# d$ r( [: g5 k  {, R$ s
  set-current-plot "Lorenz Curve"
! z, a7 r( ], T# B  clear-plot. j/ s$ ?! B% }* Y
( Q( j& }& G6 S& M5 q( ?
  set-current-plot-pen "equal"
, g, }: U2 P* W/ n  `8 {7 I0 ^/ C+ O  plot 0
: p  q5 G1 S$ `5 _) ?  plot 1008 [- A0 f7 u- i6 n8 ~' v% V/ }

/ U* W  {4 Z  q- [4 \4 ^5 q+ {" l& F  set-current-plot-pen "lorenz"' y2 {! |( k- q
  set-plot-pen-interval 100 / num-people2 T, |# ?1 l- j: {  p# o
  plot 0
* {6 H3 o) G  J/ t# V% e3 S2 Z! z5 h1 V
  let sorted-wealths sort [wealth] of turtles) e: w) _3 Y) Y2 W
  let total-wealth sum sorted-wealths7 c7 g# a9 }. {% w) h& \4 j6 j- L! r
  let wealth-sum-so-far 0
9 |# n% O; r( Z) z* t  let index 0
; a# L' j; g: C; a+ Y6 ^, \  let gini-index-reserve 0
: s7 U# L. X( M4 s2 |+ N, j! K' @' M) c
  repeat num-people [1 M% ?* k. n7 `$ j
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)( W' k3 U1 {( Z
    plot (wealth-sum-so-far / total-wealth) * 100
. z; ], l  ?$ ^) l6 `( G    set index (index + 1)& J3 E) I7 E  X2 u$ l
    set gini-index-reserve
7 L7 t9 T8 h8 V; V      gini-index-reserve +% k7 Z# L3 c: Y5 ]9 ^) h' ^$ _& Z. C
      (index / num-people) -8 I3 l" r+ u: x! H3 ?% s6 r4 d
      (wealth-sum-so-far / total-wealth)# ]! q6 y. D" J) {; ?3 M0 ^, _
  ]: Y  N; f8 q* ]/ B- P9 w$ t' l' ]
. C8 ~: k2 @! P/ c, I) {" F
  set-current-plot "Gini-Index v. Time"
& J" g7 Y$ ?9 U8 |$ ~3 K5 ?  plot (gini-index-reserve / num-people) / area-of-equality-triangle
- h( \/ A5 ], |) b+ pend8 r. |6 Z7 {9 d( c' z
to-report area-of-equality-triangle$ A8 k7 g: K9 t. F, r3 L
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2). L4 p. P) c7 W8 S2 x7 B
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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