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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9 d3 m% }2 w& n8 {; M, T9 c! ]
globals
/ a0 e% V# Z* e! x, d  W* t7 Y[
7 H( ?* G  b. z  max-grain    0 ]/ W3 C/ K6 S! E5 j  A

- |$ O8 |6 N% n4 S  f]6 x6 p! h" M6 D' ?$ F3 X$ Y
' D5 {6 V6 m8 D; }9 H
patches-own
: @! v" y' \* P8 |) W- c6 _: I; S[6 H/ Q: f7 h2 ?. @! ^# t! r0 n
  grain-here      * j% A/ S$ d1 r0 m6 E4 T
  max-grain-here  % b4 Y0 q: ~7 ^% C- r' y
]
/ Q6 p! d8 D4 B& E
7 B/ j1 q1 Z  f, d9 c# vturtles-own
% m" s+ H1 \* n: x0 q[1 |/ E& B* l+ s% R2 z1 V5 u) Y7 O
  age              & M- K8 M. E1 n  I1 U9 Q# R
  wealth         
2 P0 g( M: A1 P. T2 O: C7 k  life-expectancy  
$ c, r# _% Z# c# y: L' x2 M% [  metabolism       / V; q& j. a. a1 C3 v
  vision
* M' B* u! H) z. O. z  inherited         
/ |5 j9 F2 V% d3 v$ [4 Y]
# |: c  l" g9 x- o% C1 U9 y5 z" ?4 a: r6 p7 p& x  Z) N$ x; @0 r4 x
+ W' n5 _( D# s/ |
to setup
6 s& R! r/ l& V  ca* k; g  D: h  w! p
  set max-grain 505 z, O& c1 s' k% M4 j% L# \) ~
  setup-patches& Z& O; I) O& V2 _; O: w" N; E; y
  setup-turtles
; C' P+ N" l6 ?7 {/ y" B3 |1 ~  setup-plots9 ?* @+ a5 V" ^1 Y4 g1 p9 N
  update-plots
9 V" [+ ?- \# M; o5 L8 @8 uend
$ ^9 T7 A& w& a+ hto setup-patches
8 f& t/ Y) q5 E  ask patches- o3 O. O- h0 N" \3 M$ V
    [ set max-grain-here 0
- l9 B0 {2 F% ^/ c. U* \      if (random-float 100.0) <= percent-best-land% g6 I+ {8 j- N% H0 r9 Q7 W; _
        [ set max-grain-here max-grain
' H( J+ l- Q' P- }8 S3 W          set grain-here max-grain-here ] ]# Z5 F' }8 x% _  d
  repeat 5" {7 R# A$ M3 u+ I6 }' M# D- u
    [ ask patches with [max-grain-here != 0]
2 y( e" P' ~2 M1 e% n7 Z6 C; ]        [ set grain-here max-grain-here ]) t" _" a( K6 }" j8 n5 ~
      diffuse grain-here 0.5 ]
( r' @- i# b& Z& m1 F  repeat 10
# H& T0 v6 ^/ x    [ diffuse grain-here 0.5]         
0 E" [& R" x* g  }2 f  ask patches
2 \2 A% O$ w  M: I9 s    [ set grain-here floor grain-here   
9 F3 ~2 i: ]9 N; s' I# @# t      set max-grain-here grain-here      
& a8 y. v% O2 ^      recolor-patch ]5 O1 L" Z& S7 Y5 O2 H/ V6 _
end+ ?# I. l) q; p3 S3 \% J- W5 z
to recolor-patch  
- g8 y+ j- n( j  y% A  set pcolor scale-color sky grain-here 0 max-grain0 m7 {( p' {" D/ b% I. {6 v4 D/ ~
end& S5 W6 Q& i6 B, j7 g! o
to setup-turtles
- _1 M5 T8 n9 d0 L  set-default-shape turtles "person"
( Q; J; ]- M* x  w. F, g1 S9 d  crt num-people
. r2 G+ M$ H2 Y( ~) ~& a  {    [ move-to one-of patches  $ {' V9 d3 z- P' N. h0 U. w
      set size 1.5  
& U. U$ G( E5 W+ k( Q/ d      set-initial-turtle-vars-age
9 S1 r! f, ^# B5 g( c      set-initial-turtle-vars-wealth& x. D# p+ d' O$ L% S) J7 f. l
      set age random life-expectancy ]" F9 S8 n+ u2 [! b) V
  recolor-turtles) x1 j) j0 X+ d5 y" d! d$ q+ z
end
" t9 T5 c  ~2 ]7 g! s1 Y0 D4 s5 v7 ]: {! Z, E4 ^+ E# a: C
to set-initial-turtle-vars-age* K) \# z' @/ T3 ]
let max-wealth max [wealth] of turtles
. R! m) M6 Q: C$ \+ K   
8 n! R. O; |& {9 k     ifelse (wealth <= max-wealth / 3)
9 Q) R+ v& W  r9 t& w+ h0 Z8 }        [ set color red 5 `. Q3 D% ]% P/ j
          set age 0# k; s0 \$ s1 U0 G# b9 z0 Q/ L& I
          face one-of neighbors4 $ r2 J) o% B; ~* `: b  V
          set life-expectancy life-expectancy-min +- [: Y0 p% C! {/ W2 j2 ?/ t7 Q9 L
                        random life-expectancy-max / {6 w& l0 l  C- d. Y/ ~6 j# _
          set metabolism random 1 + metabolism-low
- c+ c% v, a) T) Q. s          set wealth metabolism + random 30. b3 Q) b1 f' D3 ?# k1 P2 a# h
          set vision 1 + random max-vision$ L, T: O6 M# F' O5 F" E" h/ ?
             set wealth  wealth +  Wealth-inherited-low ]! a1 |/ p3 t' I# P
        [ ifelse (wealth <= (max-wealth * 2 / 3))! T0 b4 W/ ~# r0 d  v" e' P
            [ set color yellow . G2 e) L5 f& R$ J
              set age 0. a  O; ?! C! C. {* ]
              face one-of neighbors4
- y8 F" t* W: K, a9 S              set life-expectancy life-expectancy-min +
; Q8 f9 Q4 Z& w, i& K, e6 L% x                        random life-expectancy-max + 1. `& u6 e( \% }5 v$ }+ j; j$ y
              set metabolism  1 + random metabolism-mid
# u( n+ h6 Q8 X1 K$ c! p" t+ J! H4 y              set wealth metabolism + random 309 k+ E2 A6 [  U( ?- v/ A9 [
              set vision 3 + random max-vision
$ j6 R; m  c0 }8 `# `                set wealth  wealth + Wealth-inherited-mid]
3 b4 y# C& g; R9 N            [ set color green & h# L4 \8 T9 e
              set age 0
; z& ^1 p$ ^" [5 [* N              face one-of neighbors4 6 K  p1 S) A3 Q- }2 e$ p
              set life-expectancy life-expectancy-min +% b+ |* A! @1 X
                        random life-expectancy-max  + 2
0 k* G3 K- O) ?* C              set metabolism 2 + random metabolism-up
5 n; ~- p: \% a# ]% v6 Q' f, W" F              set wealth metabolism + random 30
/ ~  [7 m" [! Y              set vision 3 + random max-vision
8 R2 V' P. b% `& `4 w  ~              set wealth  wealth + Wealth-inherited-up ] ] ; s% j" R) H/ n7 @6 L7 m

, X; ~- v) q: R7 aend. x# U1 z3 e; S5 s
to set-initial-turtle-vars-wealth, r1 d& V) P$ y: P( K. x+ H) Q
let max-wealth max [wealth] of turtles" o) |# t% |4 t1 h. o. D9 ]
          set age 08 Y) M; |2 y; r1 h) T4 u
          face one-of neighbors4 6 k1 U: L! T1 ?& J
          set life-expectancy life-expectancy-min +
+ U. o0 N, @6 S& \4 ~* _+ H. O  Q& I                        random life-expectancy-max
, g* T7 c$ @  [+ C; J( U( ]          set metabolism 1 + random metabolism-up
) `- w8 d( y* a4 u( s) d/ g) y          set wealth metabolism + random 30
: L' H; G/ ~* w          set vision 1 + random max-vision
, S$ X3 t% M" L1 i2 v1 e4 mend
( b/ M% ?1 V" [! i% {& n8 \/ D+ Gto redistribution' P2 F1 c7 _9 h  O
let max-wealth max [wealth] of turtles
: k, {2 Y" A! O, Blet min-wealth min [wealth] of turtles/ s- E7 C+ K, h1 ~' s& Q; O
if (wealth <= max-wealth / 3)
5 g* f; S& L. a- u [set wealth  wealth + Low-income-protection ]$ c  h1 F! ]$ \, X
end
! `9 a( h! \  r, R" i, D; |         
: M: H6 H# y& O" H0 V9 ~9 Ito recolor-turtles3 _0 f! z( X$ \( F  S& A- e
  let max-wealth max [wealth] of turtles4 a6 g: I4 @* A4 P* X( B$ o/ l
  ask turtles
- _6 S- D. Q! m. }8 _   [ ifelse (wealth <= max-wealth / 3)7 ^. O; f7 V& N3 p
        [ set color red ]" J$ f. a; m7 r( I! Q5 n; g
        [ ifelse (wealth <= (max-wealth * 2 / 3))2 r+ t# F, O/ i6 E" S% j3 g: r" W
            [ set color yellow ]
7 x1 M- |0 c$ r4 t2 ~) F            [ set color green ] ] ]
: s0 A' c# j" s" ]: I/ b8 J ask turtles [ifelse show-wealth?
1 B; |- t# d7 Y' b" z) X$ _    [ set label wealth ]$ W. s; ]/ W# k5 d" D
    [ set label "" ]]& W5 Z! m1 A; \) i
end
+ ^! H3 x6 Q/ N* w3 X) }! J% o  {2 h# Q9 m5 N& D
to go
$ \7 |1 v- q0 o' @4 Y  ask turtles
+ Y( M( Z8 }8 X( g6 h  b! n* F    [ turn-towards-grain ]  
6 W9 @/ ?7 H$ L2 v7 W5 |1 T9 P  harvest7 Y( I2 C* |# {6 D7 v  F! M/ q
  ask turtles9 F$ }: R8 V/ {1 x
    [ move-eat-age-die ]
& o) i; v( H) A0 g' s  recolor-turtles
+ }. _/ G9 r% \& R1 {  if ticks mod grain-growth-interval = 0
+ M5 F7 J- J; n3 x0 V# J0 F/ a    [ ask patches [ grow-grain ] ]3 h1 A7 q$ x" M
   1 e0 x0 c& \( X3 n; @7 _
  if ticks mod 11 = 0( Q$ l3 ^. ^2 b9 U1 S% H
  [ask turtles
2 ~+ X, x( `0 s5 C- ]! L$ G3 b( w  [ redistribution ]]" G9 |" E7 i( S5 V# b/ W$ i
  if ticks mod 5 = 0! R4 R, X8 k/ e" A
   [ask turtles
% k/ F- z3 h. e- Z- e6 l  [ visions ]]
) ^4 G5 ^( S% o% V( G  x( Z8 H  tick! m; K: @2 o, T0 @( C5 D1 n) |* K
  update-plots
: @% O' Z# Y! \3 wend8 j( x6 c: d% M3 X  ^9 x
to visions1 v1 P# T% C  `2 d+ R) D2 E3 E
set vision vision + 1
$ i' w; j. u6 Q2 dend  q( _! y- i4 u- a9 m/ l- v9 W

6 v5 }6 e4 \/ L' _% T/ ~2 d4 |; d+ E9 V( x; p+ t1 |1 x* O
6 t. A! F% V9 i" F0 J' U
to turn-towards-grain  8 S9 _+ C# e' @$ L
  set heading 0* D. L# o. x& }1 |( d
  let best-direction 0$ T- Q; g5 K0 e7 m2 o
  let best-amount grain-ahead
/ N' l; x1 Z  b' s* y8 G  set heading 90
$ G9 f+ M! T; J2 S/ Z: v- w  if (grain-ahead > best-amount). P# q3 ]  n6 h! e
    [ set best-direction 90
' P3 }3 t7 U; g. H0 g' _      set best-amount grain-ahead ]
9 G! ^9 L8 C7 [  set heading 180) n6 M9 A& [6 R' z! @6 H
  if (grain-ahead > best-amount)* N. [5 A9 e0 A6 L7 U
    [ set best-direction 180
' ^+ k( S# |" s+ ~& K      set best-amount grain-ahead ]/ m* {$ I, ?7 t# Y8 c- f: a
  set heading 270
# E3 C8 j! j, k8 ]* H# O  if (grain-ahead > best-amount)
. O) X7 }& j( V" Q* C* W0 h    [ set best-direction 270! ^$ T( N4 F+ W
      set best-amount grain-ahead ]0 M& ]2 y  a0 M7 E6 I
  set heading best-direction2 |& C! X) D% e# c) O  b
end
6 x2 Q3 `) ]5 w9 Z
4 u* l* ~$ @) Q( [0 h! u, [4 D- p' g
to-report grain-ahead  
- h5 `6 _6 ?  A: M  let total 0
! l# G. ]7 d' h1 S5 B7 w4 f& c  let how-far 1" U0 B0 y/ Z, ~
  repeat vision
3 ^: N; \- y# v3 x5 v) L    [ set total total + [grain-here] of patch-ahead how-far: Z0 j- o7 C& Y
      set how-far how-far + 1 ]
: i, P) b7 G. t5 V( h1 e9 }8 G  report total' W) C! e+ o) a
end1 S% c" l/ [3 n: h5 h

- r- ^5 q6 J8 ~" |  {- ato grow-grain   _' f( `7 z; {$ B
  if (grain-here < max-grain-here)
9 i0 g8 R& E- ^  U    [ set grain-here grain-here + num-grain-grown
- G+ \: v' [- d. ?& Y/ q      if (grain-here > max-grain-here)
2 k& w9 T* b, C        [ set grain-here max-grain-here ]1 j5 }' k( v! O) o
      recolor-patch ]1 T+ @# [! {, Z& K- ]1 n! T3 a" o
end
8 l# z: k+ a, R' o5 w" Xto harvest
2 M2 U+ v  C. Z) ]2 ~6 u  ask turtles
' V+ m2 I& J9 v6 p. I0 a    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]7 l5 Y% G# z- ^- ?, {% t. ?
  ask turtles; D: O  z  t( I  V
    [ set grain-here 0
7 x+ [2 M1 R! r% _      recolor-patch ]
8 t6 ?9 e1 @5 K/ i9 K7 N  
! g+ Z; o- e1 R" F6 `; rend1 C; ^. t- l+ H3 u! d; v! `. E1 X

/ {6 \" X3 `" Q) L* c3 ]/ @. cto move-eat-age-die  
& `1 i" q- G: h3 Y9 w* \  fd 15 ]- u( n) ]# g( D7 C- O/ ]
  set wealth (wealth - metabolism)
  P% k$ w% \2 z7 V- N: P- h    set age (age + 1): g; c1 A9 f8 F1 Q0 Y2 Q
  if (age >= life-expectancy)
. \$ f/ \! n  Q# F9 m    [ set-initial-turtle-vars-age ]) y- h# \" v' D" S; x  {9 \. D
  if (wealth < 0)
* V1 A* T: B+ t1 M2 z    [ set-initial-turtle-vars-wealth ]
" q& r" j+ C+ L, M( t& P    # a" R8 t* ?# d4 u. G
end
5 b# G+ j) y) c# X5 u- D1 o
, }5 ^, h1 F0 B+ }5 F9 Z3 a: F0 l2 l5 h- C+ E( w, L
to setup-plots
, G" q: V$ k/ A: n% i: S5 Q+ Q  set-current-plot "Class Plot"* z7 M& m0 |5 {1 E7 Y
  set-plot-y-range 0 num-people$ N$ @! e* O! a; U* r
  set-current-plot "Class Histogram"6 Q# s! N5 u: }, h& Z8 d3 u: ]; |
  set-plot-y-range 0 num-people
% b2 @# f/ s! f4 ]end4 l! k. Z! `6 W- U  w
: i: r$ e2 K1 I
to update-plots
3 j8 x) k6 H" C* G, {8 k5 }  update-class-plot
$ o; |; I! o  m  update-class-histogram- ~+ |' f4 I/ [# {) C1 u
  update-lorenz-and-gini-plots8 Z1 g( t8 R0 G
end& E7 T9 b  Q8 r1 s7 C

! E: @: e! a" Y4 p* y& p: Vto update-class-plot
' ?2 }6 c2 N7 c0 v9 c7 k: \' i/ i  set-current-plot "Class Plot"
- O; J& ^6 P0 ~; F1 Q- h3 C# l& X  set-current-plot-pen "low"
" X. S' v8 N0 ]. u& O  plot count turtles with [color = red]
- }/ f/ q8 ^, k  set-current-plot-pen "mid"
. W' p$ o% I/ d* ^  plot count turtles with [color = yellow]) s9 o& i2 d' k
  set-current-plot-pen "up"+ c2 {+ N/ r& @
  plot count turtles with [color = green]) J4 ^2 b4 a; D
end8 U7 K4 [! I2 @1 p

7 }) ?0 m3 D4 p  }1 k/ ^to update-class-histogram
# i4 _8 f# ]/ S. t4 R  set-current-plot "Class Histogram", E$ z% t$ H6 W' O2 `/ Z3 Z
  plot-pen-reset5 Y8 u; k: [  K1 `  J3 T
  set-plot-pen-color red
; x; R) [9 b2 i/ v& n& g1 H  plot count turtles with [color = red]
& U7 L  o9 }1 y- g9 B; o  set-plot-pen-color yellow8 G: X+ u" A8 b1 e9 `4 n# g* q# B
  plot count turtles with [color = yellow]
3 }" i& b* M3 G4 \( `8 S" f  set-plot-pen-color green( F. f! ]" K$ |  T8 a9 V: u
  plot count turtles with [color = green]; o& r2 u+ N$ ]" D) d4 h5 X" p2 F
end
7 ?' h5 k* ^: B7 `0 Qto update-lorenz-and-gini-plots, J# f! l6 l0 i6 ]7 B' [6 j$ @7 W4 v7 c
  set-current-plot "Lorenz Curve"
  @+ d( F* [0 S: s7 q* [! v6 W  clear-plot0 J/ ^# W3 S8 ^- h7 ~/ r
  f! O) q! g9 p) I8 t
  set-current-plot-pen "equal"
# ~" Z1 j, a9 W. F4 A. ^' I  [  plot 0* e& E/ r* k6 a& e/ _" t5 m. [
  plot 100
. d6 l9 `. m; h! q
5 e' |! D3 B6 e# Z$ y  set-current-plot-pen "lorenz"  J  O+ h  h; l& q& t# r% c
  set-plot-pen-interval 100 / num-people# Z: u$ Y( i' |! h. ?2 c
  plot 0. ]+ f& w: k1 q( _4 _9 l
3 z7 s9 W; M5 \: y( ]1 ^& V
  let sorted-wealths sort [wealth] of turtles
* q6 J* d- i& Q* J9 {  let total-wealth sum sorted-wealths
1 E' B4 Q: J: u& X) w& n1 J! |  let wealth-sum-so-far 0
% A! J, |: `, K' B+ z* c7 X  let index 0
; k3 m# _2 z9 f. B  j! g4 t  let gini-index-reserve 0
1 Z1 d$ F# b' N$ K4 c+ w# A
: {1 }* x1 H2 L  repeat num-people [5 U. D7 |/ T5 o  v- m
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
( e0 ~& B7 V- Q- Y- E    plot (wealth-sum-so-far / total-wealth) * 100
$ Q7 U, ]1 H, X/ c- Z! U    set index (index + 1)
# x" n8 d5 s- N7 k    set gini-index-reserve
4 i  f6 W1 I4 a8 P% q      gini-index-reserve +- {, b, z( q0 _. `- X
      (index / num-people) -
6 P6 _) X0 w2 R& V  H5 i      (wealth-sum-so-far / total-wealth)6 _: s( @) V7 R  ^
  ]
* \5 `  X' w# G/ b0 x$ v. l* [7 H: L8 c- C# o, C
  set-current-plot "Gini-Index v. Time"/ D7 h5 Q2 Q$ Z) C" z7 H
  plot (gini-index-reserve / num-people) / area-of-equality-triangle7 S' m) d3 A) O3 a! f1 ~
end
9 u. y3 {: S7 [4 hto-report area-of-equality-triangle" E+ z+ A. \8 l: s* H
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 Z/ r, g8 E- j/ J
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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