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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% O( _& M; c& D4 W: F
globals
$ o; [$ O- W: Q0 w1 ?5 _% G[) j! F2 t! n2 \; V3 f
  max-grain    3 K* ?  K$ F: g% [- A
; `& Q5 z1 L& ^' x- @
]
. r' O; U' _9 U4 ?* c; w/ y. l/ C/ |% Z- f8 f2 a
patches-own
( S- B" z5 s% K+ D[
2 G6 b" Y- V1 |8 q# i  u5 E$ Z+ \  grain-here      
3 O, @) ^9 y4 D3 f  max-grain-here  
9 w) ^7 k/ U! c( R0 ?. D]' j2 g* q. v) g* H" u- n

+ T. H* n6 ]1 G6 O) uturtles-own: ^9 F8 G$ q& w. k$ [
[& W5 S- G: _, m( B
  age              ( V1 {" j" _" A3 \/ i5 {+ }: H6 X
  wealth         
; v' G3 u- O% Q* |- W$ c' y4 Y! ^/ v  life-expectancy  * |! G- f# p' K+ L: V0 O
  metabolism      
) C* _8 M' O: |1 U- x  vision
: |0 X0 E9 e2 E4 A6 c  inherited         
$ K/ D" H3 y4 R% z]
! _- T! O  ?( S+ _2 a
# j: ]' a" [7 H' H
* v! b0 x- X0 P3 [to setup
4 ]9 x/ m6 m- r& f7 j: k( ?  ca
1 {3 Q* U: O( b. V  set max-grain 50
* J$ o: F% V6 G% b% i# r- R  setup-patches, u5 {! c' z+ A+ v+ K
  setup-turtles
( h8 P/ u0 S3 d- `  setup-plots* u" ~) k) o& s) B; C! }% {) _
  update-plots
! ^" ?# A! z, C9 m$ h3 }6 L- Eend
' W6 @+ ~6 U% wto setup-patches; P" q7 @+ E* U3 c. p4 @+ B, q) P% u+ Z
  ask patches8 |; n( v1 k$ q# l3 E0 N$ b# ?* c
    [ set max-grain-here 0
' ^! S  q' F& a2 \( _      if (random-float 100.0) <= percent-best-land% G0 i! F" k# G: s; m
        [ set max-grain-here max-grain
) g3 F8 g* w4 Q2 a. X6 g2 e( @          set grain-here max-grain-here ] ]) p( `: s; z3 R) j5 V& m# U
  repeat 55 h/ {, T1 M8 _4 D* ^/ W4 w% f: I1 J
    [ ask patches with [max-grain-here != 0]0 O, i+ H7 ]+ N
        [ set grain-here max-grain-here ]
" I3 R; s, s( u7 [, ]+ V- g      diffuse grain-here 0.5 ]( W$ ~$ ~1 T. i0 G# d
  repeat 108 \6 s4 r8 I1 l# y4 @5 ^0 @6 t
    [ diffuse grain-here 0.5]         
% m7 i' j2 e3 C  ask patches
: P9 h1 Q6 e- E8 N1 f& \( P7 k    [ set grain-here floor grain-here    ' Y0 ]1 _' }. @0 [4 _) |# Q
      set max-grain-here grain-here      3 h( U( f" n8 L& k
      recolor-patch ]
1 l3 p$ `4 [$ t' S+ R+ q2 v5 x2 _( zend1 `  h- A! t8 W9 l
to recolor-patch  
, _' s6 r0 B, X  set pcolor scale-color sky grain-here 0 max-grain
2 `6 o4 p$ y" Uend
4 t( O" ^2 n7 z6 W% }to setup-turtles
" A. T) U7 l2 j3 l0 L2 a  set-default-shape turtles "person"
8 n0 P% B4 w8 {  Z/ a) x  crt num-people* O+ ]# y0 t( `, [) F: ^/ ~; d! l
    [ move-to one-of patches  , O" f1 O$ g' P( ]& k
      set size 1.5  
2 r/ p+ @! a1 y% @) C      set-initial-turtle-vars-age1 _+ e" A+ ?* J2 ]( i2 Q. ?
      set-initial-turtle-vars-wealth7 w& J, L  y! p9 r. ~/ d
      set age random life-expectancy ]
' Q7 y' m- Q3 ~  recolor-turtles
* K# s- y! {3 d0 s5 E3 vend
. N& ~1 q, o2 x% z; H' A1 o3 F+ p: W; X* O, y8 `2 I0 F7 m+ l
to set-initial-turtle-vars-age) Q, j: Z: A% z% ?) {
let max-wealth max [wealth] of turtles
+ U6 \$ I$ \5 W) y- L    8 h' W8 z: n8 |, J
     ifelse (wealth <= max-wealth / 3)/ O7 T" {; l( s) U) X
        [ set color red
7 Q- ]) a# }7 D: i) M- `          set age 0* ^4 B5 _3 e! s$ z9 B
          face one-of neighbors4
% T* T$ i0 M1 d' F' s" L! L          set life-expectancy life-expectancy-min +
/ r( t4 _/ a5 V# W, r8 m                        random life-expectancy-max 4 c' a8 e, C' A* ]8 @$ i9 [
          set metabolism random 1 + metabolism-low
/ q6 H! T* k1 z$ g" ^% d3 z6 h          set wealth metabolism + random 30
7 p; [( U8 V4 L          set vision 1 + random max-vision+ v5 y2 H3 k1 I
             set wealth  wealth +  Wealth-inherited-low ]( F: T/ L5 {- C6 U6 [
        [ ifelse (wealth <= (max-wealth * 2 / 3))
$ g1 [- B& Y+ Q6 p6 f8 n            [ set color yellow
# W$ L' @* k  i7 P( K5 {              set age 0  L: `' \3 ?2 d
              face one-of neighbors4 / c/ E2 ?. ~7 w
              set life-expectancy life-expectancy-min +* S3 q1 n! a1 F0 r* B
                        random life-expectancy-max + 1" b. G% E% e1 N4 K
              set metabolism  1 + random metabolism-mid
1 X7 H; |# n) |; U2 K0 A) J  B              set wealth metabolism + random 304 E, H) A3 d# T6 N+ H
              set vision 3 + random max-vision% q% N. W0 c( V( W. h0 M
                set wealth  wealth + Wealth-inherited-mid]8 {! {% H1 O) o$ ?9 i  }! h
            [ set color green
( D# D+ x' ^& G% M/ I4 _0 V  Q1 ?              set age 0
5 |+ v: u, M) ~: c, C; \: ^" {              face one-of neighbors4 3 T- V9 |, a, q; t+ s% ^
              set life-expectancy life-expectancy-min +
0 c; f* u' l! R  W, P8 @                        random life-expectancy-max  + 2
/ y) D% S7 b  @- r; G& @              set metabolism 2 + random metabolism-up% ~& x3 N# Q. H" H" @5 O
              set wealth metabolism + random 30
9 ^5 o9 K+ p9 \' z& L              set vision 3 + random max-vision6 c- l  {4 Z, i  T
              set wealth  wealth + Wealth-inherited-up ] ]
! W, H0 v: X2 K& P( ]: s; Q 0 D4 _7 ]. |( S8 K( y7 M
end
) g$ K9 f9 Y0 o% q' |9 A$ `7 k; zto set-initial-turtle-vars-wealth
( c4 W2 e% }4 x let max-wealth max [wealth] of turtles0 B, u4 ^4 Y0 R: Q% }  {
          set age 0" G6 h: o) F  f/ e( N8 E: g
          face one-of neighbors4 1 _9 a6 v$ N8 u, n$ [' k
          set life-expectancy life-expectancy-min +
2 v& H4 ]/ z% }                        random life-expectancy-max
: z( D$ Q$ q1 o- x8 m          set metabolism 1 + random metabolism-up) N4 g& p, s/ i7 M$ a# z
          set wealth metabolism + random 30
1 q# O. x/ U8 [% a          set vision 1 + random max-vision
, t% L) }! m1 X' P: z" X& @end  d8 G! S5 _2 Z' H6 m
to redistribution$ D. ^1 N6 ^! w' c/ @3 `
let max-wealth max [wealth] of turtles
7 ^$ \0 k9 k* w- Y1 Dlet min-wealth min [wealth] of turtles( K3 `: _" S+ ~6 |$ ~* ~
if (wealth <= max-wealth / 3), ]' w! e4 m0 D* H! u- @$ w
[set wealth  wealth + Low-income-protection ]! t5 K& ~& ~/ U
end
+ d9 }% Y! `& `& t  f4 b; ?( r+ |          7 U: f! r6 I9 m0 X, V9 o% c9 ^
to recolor-turtles* j( b/ |! s- p0 \
  let max-wealth max [wealth] of turtles5 b0 u  M0 x; j3 N# W0 r# ~( A+ d
  ask turtles
% J7 F% E2 {8 w' f8 j   [ ifelse (wealth <= max-wealth / 3)
# M: ^+ r* Y& e" F4 |  B        [ set color red ]; [9 ?6 q- H. b& M; g- ^
        [ ifelse (wealth <= (max-wealth * 2 / 3))
7 K! E- `+ y. Q) n8 H            [ set color yellow ]* t. @1 t4 H( p& f* B
            [ set color green ] ] ]
( e6 x! J9 D0 k% A8 [. {5 S% c ask turtles [ifelse show-wealth?
3 f7 i  z4 n" |, U0 H    [ set label wealth ]
; {3 ~+ @/ @. D! _: b    [ set label "" ]]% F) X% `6 B' G( N" h! W1 _
end% c$ w4 k( C7 L1 W, ?/ h  {

1 Q7 U, h. V) Q7 W0 L' qto go2 O* H, A- d7 U# ?" K3 z7 K
  ask turtles
. i. ]& |3 i* A  E7 t, q9 W/ Z4 T    [ turn-towards-grain ]  
. l& P4 f* h8 \& {' }  harvest9 x1 V) q( \( t5 l
  ask turtles
% y; o% f" v) j1 b    [ move-eat-age-die ]) _) [, [' [5 @3 n+ a
  recolor-turtles
* C: @* K& p: x& W' U" }! w. D  if ticks mod grain-growth-interval = 0
% @" e5 x0 Q  }/ X    [ ask patches [ grow-grain ] ]
! D, V4 L: A7 R, _; d   1 s" l% M  X* L1 D# M2 A; ~5 j
  if ticks mod 11 = 0  k" Q: r! C# o* Y) G& S3 ^8 V$ D2 w
  [ask turtles: Q* i6 M" q- R. m. e6 P% s+ x! j
  [ redistribution ]]) Z6 m+ `) j0 X$ \
  if ticks mod 5 = 0
+ V3 }$ v0 K9 p, n4 G- R   [ask turtles
2 u9 F# {) C4 E9 B: s$ f9 b4 ]9 C  [ visions ]]
% `% g8 j% U( @  tick
8 t" q6 `4 z9 ?% v. L  update-plots
, X& w* }. I3 Q3 I. q1 Z- t! t% y& zend
1 S/ Q- g; b, ^# Wto visions
# I: D: e+ o3 X set vision vision + 1
/ e: |0 ]; g) m" L* `0 i7 ]8 cend
) _" [' \! {2 T0 {! l
) O. l" c3 J: ?" k) L1 s6 \. ~& F# y/ S; g7 [

% a" V- ~' P  T2 q. U/ d9 @# b7 Qto turn-towards-grain  9 N8 Z( i1 g/ y4 Z, f1 F
  set heading 0
9 {( k$ G/ w! d) I/ x- B  let best-direction 02 M$ D: q4 T2 e  J" ?
  let best-amount grain-ahead! x! V" W' Y" k3 m. N
  set heading 90
. \4 W( U3 |9 g+ f  if (grain-ahead > best-amount)
6 e' T  A" h! r    [ set best-direction 90
+ _" I( P* m% n: R: w      set best-amount grain-ahead ]2 K' E* `8 p$ M8 M6 ~
  set heading 180
" U, v+ O) p. r, @( \  if (grain-ahead > best-amount)( i, |+ k8 w. f8 j
    [ set best-direction 180
; d4 y& b" j0 {. |2 `% M" r$ h9 J8 O      set best-amount grain-ahead ]
- U# C5 v+ S2 ]4 Q: s' i1 t0 S  set heading 270
8 S, ~9 z2 O, y' E1 n  if (grain-ahead > best-amount)3 A- R0 I3 G1 J% |
    [ set best-direction 270  u+ V% J( F- A# P( P
      set best-amount grain-ahead ]/ x! D3 B6 H4 e# H/ a& z
  set heading best-direction
: y& m0 H) r, a3 e: @end
5 O; _3 S. o' w3 K% y2 ]2 c+ C# G2 y* C2 g7 Z" L* a; w
, G+ k0 v8 M" f9 [% Z- h
to-report grain-ahead  + p' M5 f4 J+ X+ E% u9 H/ S+ L0 s
  let total 0
4 U5 E6 S3 y# |  let how-far 1
( ~+ m8 }" s, [5 M1 v  repeat vision
1 H9 B& K3 F4 b2 d' j; h6 k    [ set total total + [grain-here] of patch-ahead how-far& h; ?3 G* \! ]! O9 b
      set how-far how-far + 1 ]
2 h$ ~7 L* u+ L8 J4 w. W% P  report total: T. L2 A9 x: }" N  s$ A/ H, \
end8 X8 S7 I% B: i- b8 T: g  W

1 V7 F) _+ o6 |$ D  d1 Y, Kto grow-grain 6 B7 g- ^8 \& }* A1 A
  if (grain-here < max-grain-here)
+ P0 B" f0 e, t    [ set grain-here grain-here + num-grain-grown# g5 F6 ^1 ^' Q0 U3 ^# f
      if (grain-here > max-grain-here)
: Q. @9 v3 }3 i: W0 j4 D        [ set grain-here max-grain-here ]
" `9 u% {% Y; `2 x      recolor-patch ]- ^# V% }6 i. H
end4 w3 S5 V, |. f
to harvest& Q8 ]8 O# }0 y* e
  ask turtles
: ^0 x# g$ U) a5 @8 T* x$ S! B* f    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]
+ [  i3 Z3 b6 |0 b: c$ {% F9 R  ask turtles+ M# B3 N" @" ], P/ u, ?! I8 j$ w4 O
    [ set grain-here 0
$ u! _! G; s2 Q2 q8 k4 h& ]      recolor-patch ]2 p+ S; j9 {5 \# |3 ?) N
  ( L9 K; n! ?3 h; F+ h
end
. X! u; h( n0 H3 \, s  }" @+ z# f2 |% ^' b, I% e  W9 J% ^$ x
to move-eat-age-die  
( o9 A6 y* s. g9 T  fd 1+ ^% m9 {7 d, @
  set wealth (wealth - metabolism)) P, S# `& p5 k4 C- u3 _- h
    set age (age + 1)
# e& j4 R9 u7 I3 z$ j" S5 i  if (age >= life-expectancy)
  K. y' L. v2 N; N3 x, k( _7 ~    [ set-initial-turtle-vars-age ]
' D+ a9 L3 N( C$ T6 ~7 U, ?  if (wealth < 0)
) W8 b+ I; y0 K# K  J$ I7 E0 g0 Q$ L    [ set-initial-turtle-vars-wealth ]
7 I' c6 v# Y  |( K6 J   
% k/ F& K  y2 Rend; c3 {. O3 e4 m4 l& P. D' ^. A( ^" N& i

: {. u# Y! G  u9 z6 S& N" @3 _9 I5 R1 y, s9 H3 ~, E1 C8 f/ {) I$ W
to setup-plots" C( B5 n8 ]. Q
  set-current-plot "Class Plot"/ V% |4 b6 c9 I2 f  I3 e
  set-plot-y-range 0 num-people/ h  a( f3 s; o$ J; `+ v# P
  set-current-plot "Class Histogram"
( @8 G- r* a7 j) Q# t* m$ i+ S6 ^  set-plot-y-range 0 num-people
1 N' n$ G( R. z$ G8 j# U( oend3 O! b+ L; D6 w1 a/ g

0 F$ {2 h7 U8 zto update-plots7 a' D# d$ F& t9 c5 R
  update-class-plot
/ d: i1 u6 j4 ^, W- w  update-class-histogram0 N* h: U' T( @, ]1 E: }6 R  j
  update-lorenz-and-gini-plots
% B' E! L! |3 |, `3 z% ~' [8 G4 z% oend5 G: {# E* d5 T# o) H

/ E7 q4 O0 [# R. tto update-class-plot
& x% J3 l* S) t2 G2 l$ k" y9 K) V  set-current-plot "Class Plot"
! B5 q' F9 ]8 _, T9 E# i5 y  set-current-plot-pen "low"
; a2 s$ ^0 p: F  x+ t+ b# m  plot count turtles with [color = red], ~3 u" P# i* J% {6 z! `! m
  set-current-plot-pen "mid"* _) ^4 y1 A6 Y! |4 N2 [
  plot count turtles with [color = yellow]: e2 G/ I8 d* u$ t
  set-current-plot-pen "up"
# |5 T( K* Y# V  z; ]  plot count turtles with [color = green]* y% j  e0 L7 z
end
) J( p9 e' E1 F$ r3 R& _  s+ I3 v+ T( z1 ?- P3 _
to update-class-histogram
: Z' z& j% t) F7 T% R; ?, ^  set-current-plot "Class Histogram"
, V$ j6 Q. ?, R" i  plot-pen-reset. _8 y: m% Z. G
  set-plot-pen-color red
& D) g' b/ r/ J% G* Q2 e$ x  plot count turtles with [color = red]
: ?  ~  j& S5 ^( v* H4 N- N  set-plot-pen-color yellow4 A+ d4 K5 @3 u) O
  plot count turtles with [color = yellow]4 l* V/ K8 |$ m7 w. d+ o
  set-plot-pen-color green( p9 k0 G1 V: [9 e& Z* U4 E. }
  plot count turtles with [color = green]( A, [5 z4 X* ], Y& d1 G
end5 Y7 D% A9 M  ~
to update-lorenz-and-gini-plots
& |1 |( z# O( [* ~5 U( K* [4 A. A; j  set-current-plot "Lorenz Curve"# f3 w) n5 \5 m3 R' X" |" Z
  clear-plot& B% ?( Q* I* H" z" B

% T0 G* ~; o8 i: ]( [  set-current-plot-pen "equal"0 x3 y! U$ D& m& w
  plot 0  f* [5 p7 L, q+ s, \6 `4 O
  plot 100
; r0 C2 L9 e* Z6 Z
1 s- `5 Z$ r1 U; o- H  H. m  set-current-plot-pen "lorenz"9 \; F7 Z) B& O: e$ q
  set-plot-pen-interval 100 / num-people: r1 Q) q; {/ }7 b4 ?9 m) K
  plot 0
; Y1 p( j% _' N8 b* ~/ M& f
' E* j# c* j0 s  let sorted-wealths sort [wealth] of turtles
7 f, W. M8 M0 X  let total-wealth sum sorted-wealths
+ r! H6 Y: G) e* ^" L  let wealth-sum-so-far 04 ~+ B9 k+ A( W1 o( u
  let index 0
3 a% b; Z9 o/ H. A  s. b, A  let gini-index-reserve 0
* L2 G" _" }' D* l3 ^' M8 X$ {+ t) F
  repeat num-people [" m" f, ^, ^2 F; u% A
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
* [; R5 B0 X  p: Z$ n+ ]& l4 S7 J    plot (wealth-sum-so-far / total-wealth) * 100
9 Y; o. T( F% i) h    set index (index + 1)% D, e+ l9 y* f6 R: @4 V6 f3 d% ^$ o
    set gini-index-reserve8 t6 w4 q3 y8 j, E$ z+ J& d$ {- \
      gini-index-reserve +
$ _9 D( z- j6 ~# j5 @. J      (index / num-people) -
% [$ |. G) W5 N! D      (wealth-sum-so-far / total-wealth)
: O+ o& A& j; K6 Q  ]: `( l$ Z8 n8 P6 y( i9 |! S

+ l$ m: H: H* {  ?  set-current-plot "Gini-Index v. Time"
) b* X' d! P  z$ j+ n  plot (gini-index-reserve / num-people) / area-of-equality-triangle
. F0 d/ H! L5 K/ e) r' W' V9 ^end
; q! ]- h0 H; P2 V0 |- N* Gto-report area-of-equality-triangle
/ I/ @9 b' l0 x$ h  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)
! \0 d/ O! P9 P4 ]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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