设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 7711|回复: 1

[悬赏] 求教:海龟的遗产传递问题

[复制链接]
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
/ R1 U- K' z5 V4 h* Y# jglobals
5 Y6 b1 [9 \6 o: s. H7 a0 t8 V! u[
0 }/ r# B! j1 s/ ?! D  max-grain    $ C2 ~+ X% M, p; N

7 q' a- C1 F9 ]) O0 Y]
. i- W, c0 J) r# I6 |0 A3 F9 I, S: {, _" h% h
patches-own' E( q- F8 h3 }+ ~! s. v
[/ @1 J" S: ]3 }/ S1 U9 {; w, |
  grain-here      
( ?* P- a5 t. r" d+ A% d  max-grain-here  
3 q4 @0 }# K% s+ T3 K! F2 A$ E]
1 b$ \& p/ D8 p; z$ r+ N" e+ H0 T0 n5 O" ~$ b
turtles-own
+ c5 e' X' H7 m" t8 p[$ u0 w. b6 l0 `* Z  K
  age              / ^0 l* _4 w* u0 _6 J
  wealth         0 T7 {/ @9 E5 G1 k* {# y7 O' [% c
  life-expectancy  , P) g& p7 P0 V9 T5 q
  metabolism       ) G; h  \: C8 e+ C$ |  K
  vision" D+ o; V% |" Z5 ?, h/ H/ S
  inherited         
- e/ j( V& }; ?+ p( V9 W# M; d1 p]
9 O5 m6 m" s& Z* i4 r6 `% S1 _$ x% O
/ @% @1 N  i6 @6 N9 o0 G6 M
, x/ T7 G7 t5 ^0 Q) uto setup7 S; B" g# J- I. W( }+ J
  ca6 [7 K0 L* o: M. j" ?* {
  set max-grain 50
$ f6 r- k" ?' P% p  setup-patches
) m$ a8 |' E3 o$ X  setup-turtles
, e' R8 |0 N" h4 q  J) H: R  setup-plots
3 g7 v/ }: N) |# V) v. F5 i) k  update-plots
; X. E$ V0 V+ d1 k6 h0 Q6 pend
4 b* C" R' T- p) dto setup-patches8 l: J) I- d" g* U
  ask patches
" Q% J0 S2 ~' K5 I    [ set max-grain-here 04 A; m0 p9 j; h
      if (random-float 100.0) <= percent-best-land7 ^% Z; `; v3 t- f$ I0 R3 @
        [ set max-grain-here max-grain
; M. t/ B" U7 K          set grain-here max-grain-here ] ], z0 {. }, O6 z. T
  repeat 5- R! w! F/ A# E
    [ ask patches with [max-grain-here != 0]
- v  W& I1 j0 u        [ set grain-here max-grain-here ]2 G7 ~, j' P8 |& _: A; n+ Y+ W
      diffuse grain-here 0.5 ]6 r, a( |/ i; Y4 w$ F
  repeat 106 H& M6 M7 ^/ ]! b+ s
    [ diffuse grain-here 0.5]         
9 V4 p$ K, D2 y' w* ^6 w5 b1 L' ~  ask patches
2 T; a. O% `! o9 u' h  ?  W6 V    [ set grain-here floor grain-here    ; M2 C9 l8 P6 O" A) d' W
      set max-grain-here grain-here      
. E- ^& _* L7 q- _; V+ }' O9 l$ G6 H      recolor-patch ]" b& U3 I7 l- J! L4 k! N
end- ~0 d) h! r0 X
to recolor-patch  
, u: \2 T( @3 G  set pcolor scale-color sky grain-here 0 max-grain
0 d( D1 r5 x1 e  ?8 ?end
1 S+ z. g6 p" n" y- v( m5 d- Pto setup-turtles
* ?' {0 K( T" L6 M# N  ^  set-default-shape turtles "person"
! ]% x! K$ }( c' z" D8 U  crt num-people
  g' D) H" \, O% v) j/ p3 |    [ move-to one-of patches  & a5 p$ H  x3 {% I: Q1 S4 _' a& j
      set size 1.5  # M5 [) T' R8 U7 ]( s9 {
      set-initial-turtle-vars-age  {6 O4 V/ W, T2 S/ X7 f" R
      set-initial-turtle-vars-wealth! ?! i" T7 N: _; v% {
      set age random life-expectancy ]' _' S. T0 Z7 d, @3 [7 N
  recolor-turtles
; X4 _0 J( J% C  }  n+ Cend% A7 Z& n1 p3 O5 J
1 Z2 a) U: d$ C( y7 {% B
to set-initial-turtle-vars-age6 w) @8 V9 {4 F. W. S: H
let max-wealth max [wealth] of turtles
8 e/ @2 |. H& Y) U( F   
! J2 H* H1 o! R  h4 B     ifelse (wealth <= max-wealth / 3), X8 Y$ C7 t; h; t. L! D  d
        [ set color red * p) j8 \% M3 P) k
          set age 06 b; x. {0 }" ^) k# N: t
          face one-of neighbors4
+ F' {2 P- {! @1 |* J          set life-expectancy life-expectancy-min +
3 ~' A' x! w9 s' _) t! P" B! b. M                        random life-expectancy-max 2 P! \: A& R; j# Y7 Q
          set metabolism random 1 + metabolism-low# X3 |! D  {. o/ e4 m: j
          set wealth metabolism + random 30
4 v( j9 C$ O+ [, g+ A$ m          set vision 1 + random max-vision3 N! X  M  ~. {/ i4 q5 Z, F8 X: g
             set wealth  wealth +  Wealth-inherited-low ]
. |, y8 h, p; h) I" R0 B        [ ifelse (wealth <= (max-wealth * 2 / 3))
+ u0 p6 I2 T" X            [ set color yellow   N- P& @, |8 K' z& r" \) v- K( T
              set age 0
6 x. r0 y3 r# N( D2 r) N              face one-of neighbors4
' W* e& U8 C$ ~) z, I& e. i8 K+ m3 R, G              set life-expectancy life-expectancy-min +
& j/ @' j5 ~' `& f5 m7 K                        random life-expectancy-max + 1
7 E' Y/ |! L! _4 j7 ]( ?              set metabolism  1 + random metabolism-mid
- [( e- \2 a2 {8 _7 T/ l              set wealth metabolism + random 30
6 b( s2 p7 F. a: P6 ]' S              set vision 3 + random max-vision
& z: I3 Z/ I( L( A; c" K& y* x                set wealth  wealth + Wealth-inherited-mid]$ U* s0 F: ]/ P; [5 P8 i
            [ set color green # ^$ u6 W+ M5 o9 ]
              set age 0
  j+ m" u$ z! T4 G5 }3 A8 q2 ?              face one-of neighbors4
* s" V6 ?. Z+ z! u7 g* G              set life-expectancy life-expectancy-min +
- I7 Z3 L7 b) Y2 _                        random life-expectancy-max  + 2; }) x/ R- P( U8 Y! C& w
              set metabolism 2 + random metabolism-up3 O# K! q: U2 u" }% F
              set wealth metabolism + random 30$ n9 ?3 O% g2 J( a: M, m
              set vision 3 + random max-vision5 N% Z- n5 s# k- H
              set wealth  wealth + Wealth-inherited-up ] ]
- m7 ~4 V* ^1 a8 e . R0 ?. X& x* q! I5 M7 E
end
' N5 ?0 g& Q. m$ o3 U+ Y' Q/ cto set-initial-turtle-vars-wealth; r2 v1 Y/ |# V% H1 H" n
let max-wealth max [wealth] of turtles
9 l) y8 I* P! u          set age 0
7 W! `& E8 K9 _% e$ A  L& ?! k# U          face one-of neighbors4 # d/ Q  h$ w/ q: e
          set life-expectancy life-expectancy-min +" N& _+ b) @8 L9 Z/ O* a. `
                        random life-expectancy-max
& n$ D- x& |! g& l( x7 p. X7 e          set metabolism 1 + random metabolism-up- Z1 L7 p4 N7 o$ k/ Q, E! w
          set wealth metabolism + random 30
6 T) _5 t; {; N, m          set vision 1 + random max-vision 2 d4 B8 e/ ]4 C
end
( Z) @. a0 z) c" Q4 m- Bto redistribution
# v4 j: U- f) Q. o7 Jlet max-wealth max [wealth] of turtles# }. O& j* ^1 Q3 B/ Y/ O9 R
let min-wealth min [wealth] of turtles
' y8 Y! z1 k$ e4 n! w# A- b6 Oif (wealth <= max-wealth / 3)
. c$ x3 p1 s4 ] [set wealth  wealth + Low-income-protection ]
7 ?8 u" b% A6 |: Z2 V& rend
5 ?- B8 Q: T# \" F1 Y" Q* Y          3 |! M. |1 R$ t: R( x7 l1 e5 ~
to recolor-turtles( l' W0 y1 A& c8 T& W4 l: p4 G9 M
  let max-wealth max [wealth] of turtles2 T& \5 p+ B) M4 T0 I6 d
  ask turtles/ h+ Z1 q& h4 B. k' l
   [ ifelse (wealth <= max-wealth / 3)
7 @8 y# F" d, J8 _3 u        [ set color red ]. j' p0 j5 k+ L
        [ ifelse (wealth <= (max-wealth * 2 / 3))
4 S) ?7 O2 z; k" {            [ set color yellow ]
5 |/ d% v. a4 A; e: B* y8 h            [ set color green ] ] ]# B( v" i- X4 K" W
ask turtles [ifelse show-wealth?
$ ]. y% |/ W" A+ a' T& V    [ set label wealth ]% P; x% v9 F$ u; a& w
    [ set label "" ]]
! l* s1 K) I* q- J, Cend
: Z5 r! y6 y+ r- `, d& l
; \3 ?4 C( e: n# @to go
9 v2 q  H2 t  e) k" ^: O  ask turtles8 B. ]5 ~/ |0 ?$ L& w. V
    [ turn-towards-grain ]  
. H* s. j4 s- t  harvest
5 b4 \' m; |1 M0 z$ Z/ `! @  ask turtles
1 [+ k5 S' Y  m8 x    [ move-eat-age-die ]
1 U' h! C4 U" B6 r+ S0 d  recolor-turtles
9 ], W& ]1 y1 A. E  if ticks mod grain-growth-interval = 08 s, P4 i; y9 I% ?0 S. c
    [ ask patches [ grow-grain ] ]
( z/ `# j8 L" Z" U; p% I, q$ S3 v' n     g) b$ b/ a4 |  k6 V
  if ticks mod 11 = 00 z3 g% t6 n9 ]$ q+ u: z- l9 x
  [ask turtles8 v0 w7 K7 l: d* u  t! P7 w
  [ redistribution ]]8 D/ f* S' j5 i- B! }& T, x
  if ticks mod 5 = 0/ y# T. y2 ?0 X
   [ask turtles& P1 |  i: q6 o5 B# C/ U' y/ L
  [ visions ]]! I, G5 ?. r, R* R
  tick* C7 o/ c, n1 D( E4 C0 u6 F3 R  c( S
  update-plots
+ k1 S4 e3 w' Q/ Y  U3 zend$ ?' U& N, h2 U  t. l
to visions* L) ?0 O' ^. \3 s) T' \  W- q
set vision vision + 1 / \. S. G6 L4 g
end" Y' n0 `/ {9 M. ^* f$ m# l. ~9 C

( V8 D, d) Z/ i- b9 I9 [
1 e$ k; _& i, q' Y/ O
6 L1 N% m" Y% E7 pto turn-towards-grain  
% j4 N" ?. b+ P* }% t  set heading 0
; Q* z; O( P$ A8 W6 ?- H) k  let best-direction 04 V! d8 C  u: U
  let best-amount grain-ahead% R# E; g% u6 _# O( `" {; g& Y) v$ N3 K
  set heading 901 A1 H1 P! g" s5 k. {2 k1 f, ~
  if (grain-ahead > best-amount)
9 {; G( `( G1 i1 S' j/ O    [ set best-direction 90( h, s/ K+ N  x  r: x' D/ ]
      set best-amount grain-ahead ]
+ ^" K* L" ~' ^: R  set heading 1802 B1 X+ F/ J) i( j
  if (grain-ahead > best-amount)7 L  P& Q2 y. J. i: M% S
    [ set best-direction 1806 e/ L" g  ^4 L- i$ l" c
      set best-amount grain-ahead ]) _, Y( V. ]& f% D; M- F
  set heading 270$ I/ D3 I  i) a" Q; E
  if (grain-ahead > best-amount)
4 X+ q1 \* ~: E6 P& {/ @$ [) C    [ set best-direction 270
7 ?8 O0 B- v7 K; L9 Q! U+ e      set best-amount grain-ahead ]. [8 S. i3 m2 a6 D; e: s
  set heading best-direction( I' `2 v  [# ~* j+ h
end0 D9 g  g8 f8 l, p; Y# x) d) O3 X
3 a/ a9 T* ^# d, J# `7 y/ s& ?

2 e3 |& }! B1 Y) w& ]to-report grain-ahead  6 y* v$ @2 f) P$ m0 l
  let total 07 \! D8 H7 n& `* W
  let how-far 1# l) H! q4 z* F, T! @) U& r2 ?
  repeat vision- b  x" R7 w) T( Y: O
    [ set total total + [grain-here] of patch-ahead how-far* ~5 w% T7 U1 p( i
      set how-far how-far + 1 ]
9 {3 V- e  |/ U( D  Q, B" u  report total4 ~; a2 n: V2 u  P
end
2 |: |3 N/ n7 G; u' L9 I1 E; D9 [$ r3 Z) B/ s8 w8 C/ A
to grow-grain
9 a0 U& p. u6 i  if (grain-here < max-grain-here)
: {" Z/ ]# J4 s0 Z" Y    [ set grain-here grain-here + num-grain-grown
# ^, s( b; {2 P  N" ?5 k      if (grain-here > max-grain-here) ( _4 v  {: R- B! h' i
        [ set grain-here max-grain-here ]4 B" Q; {( D- V  {
      recolor-patch ]0 s+ s, Z2 C) @, @5 l$ l
end6 n! |2 u# `3 a1 @' G$ V
to harvest- \3 t4 p( j) U
  ask turtles( u9 n) U0 k& n& O% \8 c
    [ set wealth floor (wealth + (grain-here / (count turtles-here))) ]: |1 p* W- v8 P1 `( `( J0 @* A
  ask turtles
- o/ W: R" d, H" r  M# F1 R    [ set grain-here 02 Y" Y# [' ]* x6 U0 ^5 O
      recolor-patch ]
/ T; @8 ]; Z4 M( p6 z  8 q, z2 ~" ~- A8 U
end$ t1 x, |' H& s. v
: `1 }  ?2 _3 |# @' u, N
to move-eat-age-die  
" Q. [9 W: o2 U% }  fd 1
( v" Q9 ]# w7 H3 G) e  set wealth (wealth - metabolism)
0 P" w& W) O0 M. S3 N    set age (age + 1)
1 O8 I# i, ^0 t. n/ Y" J$ n6 g  if (age >= life-expectancy)+ R% q7 N2 Z7 ~) T. S8 B, w+ R
    [ set-initial-turtle-vars-age ]0 j8 u- E9 _- G: o8 X
  if (wealth < 0)
2 J8 ?2 L2 B) e# N    [ set-initial-turtle-vars-wealth ]; e5 c# F$ y% C4 h3 W
    : j( u* f% i# R* m- e
end) E. M! X1 Z9 m4 U* ?) \4 K& n

3 ^2 x+ ^9 r- b# P) e: W4 a7 o$ ]8 T$ r) b8 d2 I$ s- i, e
to setup-plots) q! b- D4 o' N6 q* d
  set-current-plot "Class Plot"
. T) A, }3 a; k/ |6 [  set-plot-y-range 0 num-people
: r( T0 l7 O5 a" r  set-current-plot "Class Histogram"
2 I  n: ^3 f( H5 s. @  o- U  set-plot-y-range 0 num-people
2 @+ n# d/ |7 n) `7 p4 v  aend& Z' F8 p" s" b) g+ T' w! q* P
4 G% p: r7 \6 q2 L# s' T) V; w0 S- X
to update-plots
6 L0 f  F- [; n0 v  update-class-plot
( {, O8 g! p# C. @$ \6 S6 h  update-class-histogram
+ n4 N) o; H6 F* z% n  update-lorenz-and-gini-plots
" X8 I" R* X* {8 s  `) s) `end
$ m6 z! s2 O: o% U1 u- b- h$ v
: O! c6 O0 m% @' _: ^1 g( s3 ^6 gto update-class-plot
; Z: Y; b' B2 N+ H: D  set-current-plot "Class Plot"
8 r, v; [% h9 c0 f) L/ t  set-current-plot-pen "low"$ L* b3 ~. d5 S; v, |" r* ?( W& P3 ~
  plot count turtles with [color = red]. u8 l% S+ _& o" P$ M$ o# }) _9 t0 O
  set-current-plot-pen "mid"
* M0 {9 B# |) S& ~1 V: b) e. U  plot count turtles with [color = yellow]" v9 d) ^% |8 W3 F6 R- o
  set-current-plot-pen "up"
" ~, m9 x6 h. g7 q  plot count turtles with [color = green]
7 b0 e9 ?& _+ ]; r! Aend7 w2 e9 _& t  x+ n* R! g$ L
! K+ ?7 Q% {; |9 d2 R) D& G
to update-class-histogram
  V& Y- [2 D, o: Y  set-current-plot "Class Histogram"
+ \  n, F& f/ B  plot-pen-reset
. y, z2 F; Y6 @( v" r/ y  set-plot-pen-color red  {/ k. M& l6 Z1 ^  ~% U
  plot count turtles with [color = red]
9 y  R/ A! P) @- E* [" D- M% o. {% `  set-plot-pen-color yellow
: [- S5 L( e5 r* }& N1 L  plot count turtles with [color = yellow]' k! D& p1 [7 I% L
  set-plot-pen-color green1 D4 h2 ?: {+ o$ Q0 o
  plot count turtles with [color = green]
- s9 Z6 r% \7 m" s$ q# H0 O. }end( w0 f; h9 v! q2 W# S' O8 X
to update-lorenz-and-gini-plots
, b* x$ x. r  `# ^  set-current-plot "Lorenz Curve"; A: Z1 y3 j1 |: M
  clear-plot
8 E* j/ e* h! ^4 [* _& ^) m
  g2 Z) E! X9 h/ Z& s& \  set-current-plot-pen "equal"
4 j1 ^- o9 w! V) f3 z1 Z6 Y  plot 0
& z5 ]7 W  o1 q# `4 k1 M9 k3 y  plot 100
* Y' S" n: v, d  F  j- R1 S$ N' ^4 a8 F! n0 T* u: e
  set-current-plot-pen "lorenz"
. L$ C3 X" e0 A( S+ C1 R9 @6 ?* {  set-plot-pen-interval 100 / num-people
3 J" m* X! K8 l3 L2 R4 z5 d  plot 0
0 I8 s6 V# U. }2 X% w1 k
1 X+ q" w$ F) v. R! Y+ N4 {  let sorted-wealths sort [wealth] of turtles% e8 T! R2 C. s, d% e+ b
  let total-wealth sum sorted-wealths$ b1 [6 u# A& C- z/ j# }
  let wealth-sum-so-far 0
! i4 d' D8 \; O8 a  let index 0
* p9 t5 Z% ]! `2 Q, q4 ?  let gini-index-reserve 0- l! Z: `2 ~7 W) Z4 N8 u3 j

& F) _, W6 Y/ q/ A  repeat num-people [* p" q0 F( y2 W
    set wealth-sum-so-far (wealth-sum-so-far + item index sorted-wealths)
3 ^( O7 E, f1 P% G9 g. _5 m    plot (wealth-sum-so-far / total-wealth) * 100
, `  d7 Y* [1 m! [/ \* E    set index (index + 1)
2 }9 y/ T# t* s0 B5 {- ]& g    set gini-index-reserve+ \. F# f# |8 _% k
      gini-index-reserve +
9 t6 J- E* f% i' {# u% H      (index / num-people) -) v; d7 S+ l3 b
      (wealth-sum-so-far / total-wealth)
0 `4 h! r8 ]) a! [* s! \- W3 _  ]
) M1 n  C( i( X3 }
, ]3 E' P& U( j- C, |1 V  set-current-plot "Gini-Index v. Time"
' m  E  J: W6 [! j2 C. L# T3 G  plot (gini-index-reserve / num-people) / area-of-equality-triangle
! _" d1 d! v7 I# Y; Send) ~/ L& a$ n: `# Z' s9 G6 w
to-report area-of-equality-triangle, e! W% {& r( N1 }1 _" v1 R8 d1 ~7 k
  report (num-people * (num-people - 1) / 2) / (num-people ^ 2)9 h! N4 I5 Y. M
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
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2026-3-10 21:17 , Processed in 0.015515 second(s), 15 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表