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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. ]6 U$ w' h0 S
globals$ h$ |% u! w% b
[
& b. c. b. D1 Z! a5 h% d  max-grain    " w8 Q2 F9 t! G

0 t: J7 _; L& z" L]
' k7 j  S% E+ a& W. u; d; @
9 g4 G0 x3 G- Q1 Bpatches-own) x" s6 e# M6 M) L
[" N! ]+ j+ d4 p# q! z
  grain-here      
( y4 e+ \: n3 f9 p  U# F  max-grain-here  ' Y4 D) v( i: L4 U2 W0 y7 t
]" F, @3 q1 Z/ g, g# f7 k

# H+ y: A; M' ?) nturtles-own  z0 X! j/ }6 ?- Q  }, \0 X
[0 N; }" A: @0 I
  age              . S' Z/ m8 s1 h$ {$ o
  wealth         
' [- y1 E! q& `/ O1 s  life-expectancy  
$ C) P2 s4 C% Q  metabolism       $ V' F6 v, U; {3 Z9 x
  vision
0 e3 \4 L( j/ u, r. m  inherited         - Y" I2 l7 t9 L8 d3 U
]
; K% _5 F4 o6 M9 Z& M0 l) A3 V/ s7 C8 p. M& x4 U6 g

& a$ Z  y3 J; `+ ^to setup. K& X3 D" h. g, r+ n' Y, c
  ca. R* q5 w1 c( _: O/ x
  set max-grain 507 M- n# B2 T: Y% D9 d
  setup-patches2 B4 u6 g& Y+ R0 G# U: X7 k! L
  setup-turtles: |) f0 Z8 B( Q3 R0 m9 Q; k
  setup-plots2 J: e* y3 F2 e% w3 d/ I
  update-plots0 g3 q0 r( K0 ~# M) i. K( p6 n% z
end* N! S" q% d+ g* K- |$ Y
to setup-patches' Z$ J- h, J- P
  ask patches
* v% ~5 q& K0 R5 @    [ set max-grain-here 05 o% f4 S1 b! f3 z" a
      if (random-float 100.0) <= percent-best-land! U0 B$ u) R4 J& C! u& |; ^0 G
        [ set max-grain-here max-grain) c/ v6 h6 Z4 h1 k" f
          set grain-here max-grain-here ] ]4 H' A, n8 G, |8 J7 Y
  repeat 5
* e9 [- x$ V' Q7 q. f$ P) [    [ ask patches with [max-grain-here != 0]
( l+ j3 K% G- u* L! m9 g. m        [ set grain-here max-grain-here ]- E" O' Z3 T( g
      diffuse grain-here 0.5 ]
3 G8 Y6 N% x: b$ r3 k" Z  repeat 10* J% v  l- H5 I, u9 T
    [ diffuse grain-here 0.5]         
! ]0 V2 Z5 }3 M* J  ask patches
* j: Q  P9 G) e' n6 B    [ set grain-here floor grain-here    . a' c; B1 v  s) J% z# L* S8 X1 L
      set max-grain-here grain-here      
0 j  \! g; F/ ?2 ^5 h* J      recolor-patch ]
5 |& B. u/ f/ X1 mend' U3 ?) w* G  L& y
to recolor-patch  ' i+ ?& i9 S" }3 [# g
  set pcolor scale-color sky grain-here 0 max-grain, o$ O8 R2 D( s; G6 e7 c) S
end" g3 v& F; J8 V  I3 ^( a; G+ M6 y
to setup-turtles1 A4 `0 d2 z& p: E
  set-default-shape turtles "person"8 V! |% E* l# a0 ?
  crt num-people( [# {' E! C# @0 A: M
    [ move-to one-of patches  
1 M* g+ N* L! e      set size 1.5  
0 R% T) E) J8 u! [" p$ V$ S1 n6 H      set-initial-turtle-vars-age
$ N" }- q6 z( @' n- Y      set-initial-turtle-vars-wealth5 o1 p% I. V! T
      set age random life-expectancy ]
6 I+ f$ U7 B) N) r  D$ E1 Q  recolor-turtles' ~3 }0 z8 k) C' C3 I  w8 D7 \% Y
end5 H0 R, t1 s  Q! B/ Y
$ Y7 V/ L* Q: X; S# n& \
to set-initial-turtle-vars-age( @, H) @1 s" D# K
let max-wealth max [wealth] of turtles
; ^6 s" J) |1 {/ w   
6 Z5 q: ?! C* f3 C5 N     ifelse (wealth <= max-wealth / 3)+ M8 @, F" K- N$ p' ?
        [ set color red 3 i, H% A) q9 ?- I2 @
          set age 0
0 w1 N* D! p0 H( g5 N4 K6 _          face one-of neighbors4
4 z. i6 R7 \& S; d6 U( f: w: X+ t3 C          set life-expectancy life-expectancy-min +
% s' ~7 E; A' x% T3 d! ~                        random life-expectancy-max & d% E" K' A3 {# a
          set metabolism random 1 + metabolism-low; t/ o& \& _0 l+ _2 `# u5 w8 ^
          set wealth metabolism + random 30
; E. C7 e, m7 q4 g          set vision 1 + random max-vision
1 C: S7 T. E: y) k1 N             set wealth  wealth +  Wealth-inherited-low ]
5 k6 s7 L1 t' H0 W, L* r/ }8 i        [ ifelse (wealth <= (max-wealth * 2 / 3))
5 C$ y6 Q; L3 z4 `            [ set color yellow
$ _; m9 {, Z* p# ?              set age 0
' Y$ z  ]5 _5 {& [3 ^  W/ W              face one-of neighbors4
3 k4 J3 p2 S/ ~: N6 Z( B- ~              set life-expectancy life-expectancy-min +
( s. J+ G" n2 s                        random life-expectancy-max + 1
/ p4 P8 g+ S( _) G" t: b0 I              set metabolism  1 + random metabolism-mid
! _+ J" N5 Z8 d  }              set wealth metabolism + random 30. T. G5 Z/ w1 M% ]& C$ c+ O8 I
              set vision 3 + random max-vision9 t3 s# x5 ?! K: P$ Q6 R
                set wealth  wealth + Wealth-inherited-mid]0 F. E, r% ]" d) S; D- o. }
            [ set color green 9 O2 Y* V2 R" L+ F. g! y
              set age 0
$ P) y/ P# `5 Y$ G              face one-of neighbors4 3 n7 y9 ^. n% d5 J2 B  k$ d
              set life-expectancy life-expectancy-min +
+ p! O6 e0 k% ?4 x+ ]2 p* u                        random life-expectancy-max  + 2
6 j# \! Q% |5 r1 ?% D/ d% G4 Z; _              set metabolism 2 + random metabolism-up0 Y! \2 V5 F" N' Q# w
              set wealth metabolism + random 30$ ]2 G2 g1 N# {5 Z' R
              set vision 3 + random max-vision* g: ]. V. ?, J7 j% [* ^
              set wealth  wealth + Wealth-inherited-up ] ] ; l9 P# r" G- c! q. n6 n; K

+ T* J: B- Y# |3 T' b. b) {end
6 u9 x" e4 r9 p/ c) xto set-initial-turtle-vars-wealth
& z" t) L2 M7 }. [3 b- M let max-wealth max [wealth] of turtles
, B, B5 k: N3 J' g9 s          set age 08 Y1 Q8 g7 l, n1 j- `1 X
          face one-of neighbors4
, Q+ i5 ^3 [+ T1 m9 B* v, r          set life-expectancy life-expectancy-min +$ U% Y; q5 U3 z) \- n( v$ Y
                        random life-expectancy-max
1 a) P* p/ z- |' z) Y& g8 O          set metabolism 1 + random metabolism-up
+ a$ i8 n# E0 m5 q" }' M5 D          set wealth metabolism + random 30
  R  n/ F# C" [/ Y' Y          set vision 1 + random max-vision
' u0 l% t6 }  @/ G! {! v/ ?end/ h1 m3 ^. e% Q# t
to redistribution
9 A5 `% T/ U. ~, i! Jlet max-wealth max [wealth] of turtles" m1 p, j- U" Q% N9 X3 _8 T9 D
let min-wealth min [wealth] of turtles- x) v! A, m1 E! u$ D; Y" S0 A
if (wealth <= max-wealth / 3)7 ]& A0 ^7 F  G  O$ J4 ]! N" N/ `
[set wealth  wealth + Low-income-protection ]
0 A2 U' e0 ?( ^! E( tend
" N% B$ W" r4 \. R          2 R+ X0 D: q, h7 W# h0 x% L9 b
to recolor-turtles. n8 ^) y' _3 q$ i; ?8 W
  let max-wealth max [wealth] of turtles- c/ z  ^: }% I  N. h$ [% x
  ask turtles
6 ]" K/ v; U$ a( F   [ ifelse (wealth <= max-wealth / 3)
, z" S; m# T) L: `' ~        [ set color red ]
: m  f$ r/ T' |) S$ k        [ ifelse (wealth <= (max-wealth * 2 / 3))$ I! J3 L" g! ^# q0 D  Z# [! K* g
            [ set color yellow ]! l. o9 g$ M9 |; w1 ?; M) e3 m0 G
            [ set color green ] ] ]3 `8 A3 _! L; U2 j6 p
ask turtles [ifelse show-wealth?
  P+ y; T, F* f* I, \5 J- N    [ set label wealth ]3 j' [+ }* w* ]& @$ n' r# q6 ~
    [ set label "" ]]5 v1 Q( s4 z% q3 U2 g
end4 z# d2 V) z/ x& s5 F5 @% }
- U/ _( [* Q" I. B: N8 {$ @6 J7 S
to go
% ?. e3 [- q: R! ?& |  ask turtles
/ Z5 m# T  i$ k4 f* n# D& b    [ turn-towards-grain ]  
3 K4 z' G4 s; V' }0 h  harvest
; g* i8 |$ n+ k! \, h  ask turtles
8 }  X1 q0 d) u! X! V& z    [ move-eat-age-die ]9 J2 F9 s7 o  M- V
  recolor-turtles
! ?% C. G& \5 R, S  if ticks mod grain-growth-interval = 04 B" y4 }3 Q( f. @0 d) G# v
    [ ask patches [ grow-grain ] ]8 l& `7 k6 O( L  j* k' E
   
, k2 P$ K; L/ \, N, g1 c  if ticks mod 11 = 0
# `5 [" I4 [% v' ^' x  [ask turtles
, N3 I4 @* U, E% s7 J  [ redistribution ]]. B+ c8 {3 K0 c5 @0 z/ _2 q$ o2 O0 n; f
  if ticks mod 5 = 09 Y5 [8 |! V# P
   [ask turtles
1 x( |6 Y  O1 Z- D6 M! a1 N5 b) H) P  [ visions ]]
9 I  R2 X! z  v0 W7 g  tick
. W! j( K! h& |# V  update-plots
) d2 C( U$ M" Z- Iend: h2 R4 H' s4 P6 m8 ?! O+ h
to visions2 @- i4 w8 h: E, o$ x3 H, w8 F" K
set vision vision + 1
3 q6 w" L- h: S5 Wend0 g' b$ ]$ ^" H/ }2 ~* i
. T' F. R  D; W' |
- P5 ?2 h1 g$ ]% v; I! _/ R

0 ?! V0 c- o  x; I; g: y, r/ `8 Tto turn-towards-grain  8 l' c- q1 _! U
  set heading 0
4 T2 G. a2 p  D- [( n  let best-direction 0
* S- Y8 Z4 C) ?% P5 U7 t  let best-amount grain-ahead% C3 @* R' U: t* q
  set heading 90
/ t, c( {3 L+ ?: I7 |  if (grain-ahead > best-amount)" U- R( I( ~3 I
    [ set best-direction 90' d; a5 z: N3 }0 D) U
      set best-amount grain-ahead ]  a# `$ c/ J& S9 v- \8 L5 u7 l
  set heading 180
& w  X$ F" [6 D4 R( z9 r7 K3 L: i  if (grain-ahead > best-amount)
. P( |% w1 j- `% P! S    [ set best-direction 1804 |, R2 R/ e' h5 r, U7 }% ~
      set best-amount grain-ahead ]% j1 l, t+ \, b- \( S
  set heading 270
% p. f( ^$ k% G  if (grain-ahead > best-amount)" E0 Z$ u* r* o- T# y+ m8 ]$ F4 B- \' _
    [ set best-direction 270
. F/ i* A% G, b! [      set best-amount grain-ahead ]
/ Y0 @% Z6 u; ^1 X0 i  set heading best-direction/ U, {/ |9 R# S% z' B2 g1 V
end
* h0 l0 E8 F. _6 {, u7 S% A/ h9 x- _; |
8 J* `  e7 y! E4 H: b, ~
to-report grain-ahead  4 X) i+ Z3 v- B) r5 e
  let total 0' s, B0 r7 V. Y6 K! q
  let how-far 1
2 k- |) V4 p/ c# B% ]- i3 k7 q1 P  repeat vision( v) R) v2 K: z2 X, P/ M
    [ set total total + [grain-here] of patch-ahead how-far" M& n% d7 P; A; j# }- M5 [* a
      set how-far how-far + 1 ]
' _5 X+ i( p) M6 w* r; H  report total
( K2 A8 }4 u; B. L. e& mend. S, d' V" M4 e6 w3 [) F' L7 S
$ u1 ?. `* y+ M
to grow-grain   d. i9 X9 Y9 q; @, N0 F# Z; o
  if (grain-here < max-grain-here)9 `9 \7 E# A' i+ E% i1 D
    [ set grain-here grain-here + num-grain-grown
. n  K& |. ?3 O$ V$ b0 a, C: ~      if (grain-here > max-grain-here)
* }) Q1 M4 _  G        [ set grain-here max-grain-here ]
* S  l& Y* j2 R4 G9 c6 N' [      recolor-patch ]. x& K7 [7 A( z$ ?0 M
end
7 w0 D: I- q7 |) G( Fto harvest% Y* P+ I' [$ _
  ask turtles
; S- s, O! h  }4 J4 e! g( B+ b    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: c. n8 i, `4 r# @
  ask turtles
/ x2 s$ i! J9 G  L5 b    [ set grain-here 02 |' C' Q7 x3 C* F
      recolor-patch ]
( m. F% l8 K$ L2 a# O  X  3 A3 s3 P# `# Q" S2 v
end
, g3 N! D7 Z0 b, c6 A/ y  w# k# z6 j& f
to move-eat-age-die  8 ]& H3 J; T6 ]3 B
  fd 15 B- }% o  _0 }. a1 z
  set wealth (wealth - metabolism)
  ?) k1 }0 ^+ C  k    set age (age + 1)
! a# {4 d' e/ B/ V  if (age >= life-expectancy)
  G: Z  a# @; w* A3 Z1 a    [ set-initial-turtle-vars-age ]
. H  @3 ?+ d. F* i; H( ~" y  if (wealth < 0)7 `! _) K7 z1 I# S7 c4 K
    [ set-initial-turtle-vars-wealth ]
0 n$ |  W3 J' j" W- M   
% t7 }; _0 p) eend0 D; n4 F; I  B2 V0 Z% R
6 d- l- Q# ~0 p0 \

4 x" ^3 P4 K, f$ L* W* ]3 Dto setup-plots" j* B7 L* {) V8 d: f' A
  set-current-plot "Class Plot"' B  D- d7 z: e9 d: @: ^/ {
  set-plot-y-range 0 num-people
( {: a; P4 c2 p. V8 Z  set-current-plot "Class Histogram"
- l1 s" @$ }6 F' J, i  d: O4 M  set-plot-y-range 0 num-people
  H0 p, w! ]: h& w$ ^- Iend
* l, |. g$ }" o9 ~. b" A* A
1 J, _4 P2 K, Kto update-plots
9 ^+ |+ G% ?: q# i+ C- t/ B+ f6 e  update-class-plot, f4 L1 K* k) p* u
  update-class-histogram
6 w# F% }  g; W) m$ z  update-lorenz-and-gini-plots  C8 N1 S7 ^+ i( l
end& S* V' [& I- z) g, K
" Y7 }6 h. p1 q" e5 E, ^( f9 ~
to update-class-plot% E# ~* P7 g- r* ]/ Y
  set-current-plot "Class Plot"
9 N, p0 I- m8 D/ a  set-current-plot-pen "low"* B& u+ a( j0 K% [( S3 u% y) w
  plot count turtles with [color = red]
+ U* O* l) @6 k9 c  set-current-plot-pen "mid"8 `$ A8 O5 C3 |, |' q2 W% M7 H/ F
  plot count turtles with [color = yellow]% {. b6 i. ~4 w7 y5 r
  set-current-plot-pen "up"
( o* l' z! t9 e  plot count turtles with [color = green]7 x! \4 `$ k3 }& d6 ~- M3 V* n) B
end( `$ n5 }2 W% E' a% |4 m

3 A, D" q1 J" W% a) Kto update-class-histogram7 R4 S$ d+ d0 v+ o
  set-current-plot "Class Histogram"
8 [- b' _) ?8 E8 W' f  plot-pen-reset
7 y  d; |1 L9 e$ D) d8 n  set-plot-pen-color red8 O* r# I) Q9 ?8 G! |7 }, c
  plot count turtles with [color = red]
9 h( W* u1 I5 ^! k6 a4 G* a  set-plot-pen-color yellow; F' r5 z5 K1 a4 m9 |" I
  plot count turtles with [color = yellow]& i; ~* l2 A$ j& u3 u- J. M
  set-plot-pen-color green
/ T2 K8 p% ]: K. u, `% V1 D  plot count turtles with [color = green]
- b1 v3 N' M' P( c$ m1 d& d0 r( A* Vend) `- p- r: I+ j/ B" H1 n
to update-lorenz-and-gini-plots
: ?- t4 |1 \/ G1 ?  A9 i7 z9 }  set-current-plot "Lorenz Curve"* H7 j% C$ Y6 h. R5 v. C
  clear-plot  D8 W! w  x* q1 ?
1 l4 x* Q6 a/ ?
  set-current-plot-pen "equal"
7 D8 f4 t2 {7 d  plot 0
0 m: p! t% O# @7 n* Z  plot 100
% n) s: e$ b3 ?( L; v$ p& O% r# ?! w$ s/ t9 C
  set-current-plot-pen "lorenz"
1 p# y) O1 j; W7 j  set-plot-pen-interval 100 / num-people3 K  [& H$ j4 D/ W2 |
  plot 0
- q; j2 H5 d" \" G1 U3 u
9 {$ r3 h% l) C) l, A* I  let sorted-wealths sort [wealth] of turtles
$ _$ A$ C; m+ X2 x  let total-wealth sum sorted-wealths
! M6 ~& X, A8 Y4 q  let wealth-sum-so-far 0
4 l8 T# N3 e8 s7 U/ r( `" ^4 K  let index 0
( k1 l3 ~: z% _% B  let gini-index-reserve 0
) W- v1 e5 D# o5 W; \
: Y+ I9 E) |# }* w  repeat num-people [
  D% J3 C3 ], ]; k9 g/ S1 |    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
6 \: W$ s9 W, \  x- r/ a2 [' e    plot (wealth-sum-so-far / total-wealth) * 100% P) u. ]% c5 B9 ]
    set index (index + 1)1 i7 y. A7 n/ \. F% S
    set gini-index-reserve
" l' s3 w8 F' t+ D& r7 M* G+ k      gini-index-reserve +4 `- [3 c: ?3 w/ P3 _1 q
      (index / num-people) -
4 v0 I1 B5 s9 h) Z      (wealth-sum-so-far / total-wealth), W4 z& i) E9 N# |
  ]1 a% c/ g' _# d* T

. Q/ m  k# ]0 ?, v3 `$ S; J% W/ N0 U  set-current-plot "Gini-Index v. Time"
* s5 M, ]" n' L* U  plot (gini-index-reserve / num-people) / area-of-equality-triangle7 p1 u; o$ M; B
end8 p* ~( C3 w& ?7 C3 j
to-report area-of-equality-triangle3 y$ H; j1 p& B
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
  w# u) n$ q& H! v: `' g2 lend
 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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