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: 12468|回复: 10

[交流] 关于turtle的使用问题

  [复制链接]
发表于 2008-3-14 16:14:39 | 显示全部楼层 |阅读模式
我将customer设为 turtles-own,初始值赋为-1,为的是当turtle遇到同伴时就将其中的一个turtle认为自己的customer,然后进行交易,如下:* n, _3 U% ]9 `5 _6 ^5 F# J/ p
to do-business
; r& V) p! e9 A# o+ Q rt random 360
4 L' n! t, b% n* S( |6 Y  N! S6 M fd 1
/ c# @; O! q* [' u9 t% Z! s$ s ifelse(other turtles-here != nobody)[: R% }, |$ x" m" @  ~
   set customer one-of other turtles-here ;;这样一来,customer不代表了一个turtle吗?但在运行时出现了问题.
* V1 u4 t7 m! H( c1 g! G   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
/ B. `. X2 n4 Y) B+ ^7 `; \   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
: {+ J8 v  D5 n2 B5 z) I, n   set [trade-record-one-len] of self length [trade-record-one] of self
: }9 Q# v7 ]" _, ~  c; y! \) B6 X   set trade-record-current( list (timer) (random money-upper-limit))( G5 M6 b& x# U" I- Z

( E2 ~) o" y+ |+ Q' _问题的提示如下:
2 `- Q* S' `6 {' o( Q; V# ~  G
0 y6 b$ X" [( C$ i7 y  C4 E" Derror while turtle 50 running OF in procedure DO-BUSINESS4 r# u3 m7 R7 s  |' a; Z
  called by procedure GO; _$ X0 ?" {% C8 U) n7 @' v" O, ^. q
OF expected input to be a turtle agentset or turtle but got NOBODY instead.# f& }! @$ x% p- w: U' f
(halted running of go)
7 O0 z4 S; q, Z$ X; _7 p+ k. X0 j. q+ j/ e- T
这是为什么呢?我看到一些netlogo中自带的例子也是用这种方法来找turtle的同伴的啊?期待高手解答~~
8 d0 l% ^: j2 U0 Y/ l另外,我用([who] of customer)来获取turtle的编号的方法对的吗?如  set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    中.

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x

评分

参与人数 1仿真币 +30 +2 收起 理由
booblu + 30 + 2

查看全部评分

发表于 2008-3-17 17:34:20 | 显示全部楼层

资料不全

你把你的所有程序传上来我看一下,估计不是大问题。(南京大学)
 楼主| 发表于 2008-3-18 13:10:54 | 显示全部楼层
你好,这是我现在正在写着的程序,以上问题就在其中,请多指教
' K7 Y; ^% s; h+ o; ~" oglobals[
9 Y7 [, S& \; ^6 j6 K& Y! w3 t4 Z8 bxmax: I6 \7 {6 G/ H, `
ymax8 r( I. g4 N# ?
global-reputation-list' Q, c& z! t- z& p# E3 d

. F* Q' @9 [- m. L* |2 a;;
每一个turtle的全局声誉都存在此LIST# N" ^) K& Z6 }+ F4 I  ^2 J
credibility-list/ P3 V6 n- Y/ c7 G
;;
每一个turtle的评价可信度
3 _. T, m/ m) W; O- vhonest-service; \2 w. n4 p0 {
unhonest-service
" ?( c: b: K* Y3 c* C9 J& D8 goscillation1 c; a2 q# n) q! m4 v0 Y8 v, f, U
rand-dynamic
" @  d. v: o5 B6 e9 P: s! ?" Q]
+ V' N8 s) m; j. p; e. Q( V+ F( x+ H9 A/ W5 t3 F# b
turtles-own[
' H1 {& {0 X8 h) _' k9 ltrade-record-all
) V6 S! A  h5 S2 D;;a list of lists,
trade-record-one组成
: g) e  [( {$ y0 vtrade-record-one
6 k- g7 Z% Z4 K4 B9 C5 {. \;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录- q6 _" A8 f% h4 G+ @
( ^' T6 z5 m% G: @5 J# o( K; H
;;[
对方turtle的编号,交易总次数,交易总金额,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]]
7 m" @! h* e' r! m  Ytrade-record-current;;list,trade-record-one中的这个list,作为暂存用,[本次交易的时间,交易金额,得到的评价,给出的评价,评价时间,此次交易后相对于对方turtle的局部声誉]2 t; O+ W4 [! O2 f& Z" J1 O2 ~
credibility-receive ;;list,他每个turtle还需要有一个存储其他turtle对其评价质量进行评价的list
0 @2 w; X1 l1 Q* K9 G3 Rneighbor-total3 _" U% n( `4 o1 a* ^* r4 Q
;;
记录该turtle的邻居节点的数目7 I% q, K4 o4 O9 }8 x4 G
trade-time+ o% S% }: e0 G4 h4 s9 A8 M
;;
当前发生交易的turtle的交易时间7 Y* ]1 Q7 l  z+ X9 V, I. w2 U
appraise-give
- W/ K: t( J: A% `" s+ `' t; Z7 T: };;
当前发生交易时给出的评价
9 i5 D2 _7 g! V2 C) a' W2 }appraise-receive
$ R- f& Z+ Y* ~& u8 P;;
当前发生交易时收到的评价
- m) f( D: E; s! |1 zappraise-time2 o. L/ `! V6 `% e/ h
;;
当前发生交易时的评价时间
4 S) X" @5 l, \5 t5 v, n& llocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
0 m; |6 g1 _- A* T6 Y. Gtrade-times-total+ k  l2 j! X0 I' H
;;
与当前turtle的交易总次数7 @1 o, r/ V; Y( A" O+ _8 ?
trade-money-total% q0 z5 v) z' f2 f! y
;;
与当前turtle的交易总金额2 |. Z0 }1 R7 ]& M0 r
local-reputation
* m8 W! v( S- f0 m: S: _  {# hglobal-reputation
/ n( M, Z% X0 T' v7 @% m( ]credibility7 H$ w. @: }9 A6 w, @  t3 @
;;
评价可信度,每次交易后都需要更新0 w7 \' H- z# F/ A4 N; t
credibility-all
6 V- G; u# h( Q" p;;a list of lists,
credibility-one组成。[[1j的评价质量的评价][2j的评价质量的评价]……[ij的评价质量的评价]……],其中一共有people项,根据# j/ J) A3 q5 X5 Z( l3 A2 o8 `
+ p5 J$ T! g5 r3 I
;;turtle
的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5
/ l4 y2 G/ a8 X: x1 W+ D4 }2 Dcredibility-one3 k$ U4 B( K* V. Z- w
;;a list [i
j1的评价的质量评价,ij2的评价的质量评价……],其中一共有people! L! Q' B' X. \' @$ i7 ]
global-proportion) D5 {3 S0 [& G( ]
customer
8 M$ q* p' ?- _customer-no' k! R1 \* F; x0 {: n' A
trust-ok6 v& M2 {: Z/ J' w5 O
trade-record-one-len;;trade-record-one的长度
5 ~1 Z! Z" G( @]& u% ^3 _! ^" q/ d1 U7 E

5 P0 x* R9 c1 q+ W! ?;;setup procedure
4 ]7 {5 r7 n2 @2 X  v, G7 [$ V! L
to setup
! c+ j7 ~7 E$ I. }3 E  t, o6 a3 _" c7 `4 k- j
ca

5 ~" h! b7 [5 s" V* y) ^- d9 P: z% a1 k1 P; {4 x8 s
initialize-settings
; Q, J6 m2 r" c8 S. B  ^, L5 k

- h% V( G) ^+ z4 W8 Ccrt people [setup-turtles]

# `. I/ o. v* S( Z( \: X) W+ O0 u) R% w3 S# Y
reset-timer
. C8 r* ~! L0 h# \; i' g
+ Y  ?- L: M  z! w! D% b2 v
poll-class

. K: I% ]1 Q/ y9 `5 t" ~6 o) S; K8 r" O( G6 X" [) h5 s) n7 v
setup-plots
- L6 K& Z6 m- P! I3 u! Y' }0 ?/ y% G
% T/ [6 }5 k# H
do-plots
) `6 K3 A, V5 u% b- E9 z+ A8 Y
end7 d$ w4 g' M% ~) W, C3 L

' Y- x$ J  ?7 a9 Ato initialize-settings4 R( |! e0 @; d7 i: n: ]
( g3 x  T/ K4 T  M
set global-reputation-list []

' {' \! C. ^+ _% `# ?& e' {) ]
. I0 c6 w% b; I0 B) i. W. f! aset credibility-list n-values people [0.5]

2 t" J' y8 ~3 Y5 C. ]) e6 f
' ?8 _7 ]' [% M: fset honest-service 0
4 ~- d8 Y3 q& R- R, q- s

& s$ b, ^/ P, J4 F( e5 oset unhonest-service 0

- g+ I, u3 B* m
( a1 Y2 y2 G: b- [" |4 w0 {set oscillation 0
( B% ?4 g4 h' q/ }% k, x
  Y4 E8 H7 M' z6 |: l
set rand-dynamic 0

; y) S# i9 j/ G* s& Y* T, `& yend) t8 W7 v4 ?. E# U

* |/ n6 x. V; P! H# W) z- l- p0 Ito setup-turtles ' P6 c+ O' }) z* {7 T8 s
set shape "person"
% A) C" O& @# x& M( Dsetxy random-xcor random-ycor
# p0 F. i  J9 C! o/ t$ iset trade-record-one []' @; n$ L+ `3 j" o" ^6 F! }$ y  ]' I

. Q! J& P, r7 ?, b1 A# u5 Q: Cset trade-record-all n-values people [(list (? + 1) 0 0)] % F/ ], M' O; U

% y3 m! d' I! d- H% b: Cset trade-record-current []
* E- n6 W  b* vset credibility-receive []
2 Y* m& C7 ~, f: z3 `1 cset local-reputation 0.5& h' I& a8 a+ q. b/ L/ H% U
set neighbor-total 09 a3 N" Y( U* B: t8 H4 T" l& d+ G# e
set trade-times-total 0  D- U9 m0 x( W
set trade-money-total 0
0 _0 p( @. J4 y" B) J- l- p  S* rset customer nobody6 A# e" `) L( {+ a4 A* c
set credibility-all n-values people [creat-credibility]
$ k& m2 n1 y/ i% B3 Vset credibility n-values people [-1]
0 y1 ~# {# A9 `* p$ @) r' gget-color4 h9 [% ?% B7 U6 D) b

: k! F7 u7 s  Mend
' K9 I4 V( y. A6 v7 O7 k% v1 {8 b' m& I' G  N' O+ P; Z* f
to-report creat-credibility
/ P3 \9 H- |4 _, Sreport n-values people [0.5]
  i- @. J; f% J: wend" O. e4 H  Y+ k% n$ c# @- H

- B$ @& Q1 n5 x) Z( r4 jto setup-plots
3 O( h7 y; o' Y( q5 G
) U2 L( q& o" Z9 Uset xmax 30
% G. G3 c6 u) Y

7 ^% A" \( V6 x7 K1 r) j) aset ymax 1.0
9 f. _! C0 z% v5 _2 x- K- z
; c: G( K4 o% J9 E4 N8 r& j4 G
clear-all-plots

7 {5 x& w2 I( u1 D. U& x3 j0 x' J
3 o+ X) y2 s8 _( D  U- t( xsetup-plot1
; w- C) W" f0 Q4 d: z' Y* l
, K( i: X, {# y1 I3 W
setup-plot2
4 N0 C6 _0 i# B& Z5 ?5 X5 n1 l

0 ~9 U" A; V- W! X+ @2 }3 w" Lsetup-plot3

# O7 a' u( d8 d' o5 ?end% X$ |7 n) R! C! f0 @
+ R6 ?& W( }# P* _! g6 @
;;run time procedures, G- I: D7 |) B
6 Z5 r' H2 l$ f  q" G" H' a
to go. l3 r7 x+ o  X; m

+ [, x( ~/ l  M, N* gask turtles [do-business]
; D$ D, d1 g3 g8 o
end
, j( p: Z% \  q3 P2 ^( A& t5 r( A7 \% S5 ~, `
to do-business 3 a. H' R8 O- ?7 l" f* _2 \
( Q: M$ s9 C& P* I

6 `! x# }6 m( V4 Q% d) d. Urt random 360
' M* F6 N' J+ d1 {" e: q
* P8 c) C0 ^/ M1 k1 Q1 H: k
fd 1

, P+ `  Z/ S0 G; q7 b( ~3 ~9 _: z- L# f
ifelse(other turtles-here != nobody)[

  l6 w. R& e& o2 j$ m3 x& V  @
set customer one-of other turtles-here
) x8 s' \3 \0 h

" n& u: \6 Y4 k! [; {5 T- };; set [customer] of customer myself

5 ~! Q0 h0 I( F" A3 ^1 |! |$ O4 G, e6 P
set [trade-record-one] of self item (([who] of customer) - 1)7 [' Z( v5 d+ N+ ~* a# n/ ^% g
[trade-record-all]of self
# a! F: O4 m) e' X. ^;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
2 z% i% E9 ^* w

/ g# T: k4 j' p8 b: o- Cset [trade-record-one] of customer item (([who] of self) - 1)
- E2 a" R7 v  q- K! u[trade-record-all]of customer
3 O# c, z. u$ e1 @; j# \+ W  A- ~

6 [4 ~: u2 O5 z  V, s' _* b2 ~set [trade-record-one-len] of self length [trade-record-one] of self
( F" ?4 ?7 z1 s" z

! b0 V( ?" _& R( X( l0 yset trade-record-current( list (timer) (random money-upper-limit))
) X8 X, \# g, l- C# w+ M$ @! U

) Z! Z5 y+ ^8 ~/ x+ F& `" T1 mask self [do-trust]$ T8 q7 a3 u) C3 B8 B
;;
先求ij的信任度
9 y" y" q3 h4 N1 K' I# s2 d/ I! h. a3 c  ~+ {% a  @# [! B
if ([trust-ok] of self)3 a; f! r0 @2 _0 l) q% G8 ~
;;
根据ij的信任度来决定是否与j进行交易[0 _# |1 ?8 B; Q1 Y1 [
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself0 I! C; i4 L0 U) z( ?( ]+ c
+ m( }8 R% \0 ]' g
[

3 E, I1 H) N# C; G: D+ p. e, F8 I/ y
do-trade

  S2 O3 R( }9 H5 |( i* A, d5 M, ~; x6 g+ f$ i4 W/ y. @* e4 R5 j
update-credibility-ijl

# q, X  j3 U0 ^" G- h  n
& l5 f3 M3 n2 \" e, }" Wupdate-credibility-list
2 V( N" T" D% Y. i0 e* F& w, i* P1 P
4 G5 f, T" x2 \! V

! k- ]9 W0 f. c& v: f! T1 O( s* c+ cupdate-global-reputation-list
2 X2 ]8 L: u7 a- ]
/ w4 L$ R6 o3 L- T4 M4 Y4 n& c# Y
poll-class
& t( e+ m: @2 P1 w; X) J# @

& |. S9 n  {" u: ]# Oget-color

% p4 _0 e2 x) Q% H! W4 V4 W: z, s1 r; r
]]6 z" r5 ]& `; f& t
$ S( T! m  x! Y0 p
;;
如果所得的信任度满足条件,则进行交易( h" Q, W& D) R
( y) ]- d3 L8 {8 ]' V& @% q$ s7 W! f
[
0 z1 L8 O# }0 n; _
0 Z% n; T2 ~# |: \1 k: q
rt random 360
- M. |: {- l/ [$ g9 A% I
7 W3 m6 x! n' i' D
fd 1
0 D4 z3 D/ {3 F2 y$ H
2 q# S' z2 v/ S9 D, y! y7 l
]

2 I+ w  e+ M8 q4 R$ j6 U* U* s6 U
end

0 {$ D% |- W3 }6 D/ ]8 A/ ?5 f  d0 {1 ]5 I! y  O. X4 W) H$ X
to do-trust   H. }6 O( w/ s3 _2 w% W
set trust-ok False
! m6 g* m  j% {1 o
. w& r3 X* }' Y/ \3 n
" I" C. J" l* g/ O( E
let max-trade-times 0! X4 i6 I  _+ Q% R; E
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
8 Z" N5 m+ p( Llet max-trade-money 0
; _7 K4 p+ `* P, c9 _* i# bforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# O+ H6 Y* T8 {/ c4 w) O
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
1 \. o) h9 v; Z9 b. f% n
' R& r" r7 k+ h3 P  C, ^7 s
7 u1 v1 k' G5 [. t8 B' I
get-global-proportion
( S2 ], s) l: Q* B3 vlet trust-value
1 u) g. m5 G% k( I) klocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
0 U, k  W  _2 F+ i7 Y$ s
if(trust-value > trade-trust-value)
7 h# }4 i8 |( {( l# V$ V6 n" M[set trust-ok true]2 _7 m: p3 u, j) \
end6 _5 ~* Q0 B9 D+ ^0 W; @7 t
$ E' w  J8 B# V, J- z
to get-global-proportion7 {5 [1 p* |  D' I
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
% z5 N8 y) E3 z+ A6 V1 l' ]& T[set global-proportion 0]% F: V* q# a+ v+ C+ q: M! n
[let i 0- [4 r3 p( R1 H8 I1 V4 j/ L
let sum-money 0
: W7 i! ~' Z$ h7 ]/ B/ twhile[ i < people]# |0 a9 ~7 O3 p" Z. l
[
; O8 I9 X9 `% f, N$ Pif( length (item i
# o; l+ x0 L; k; g" Z( s[trade-record-all] of customer) > 3 )
# Q" [2 O( |. p8 Z5 R# ?  x
[+ X9 ~' g5 r* D6 W. M% Y
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
) H+ P8 c0 T$ k* s) U# \0 R]# Q3 c* ^' b7 _* g
]+ u) R$ F1 y+ L5 z4 q
let j 0
- i$ {/ V! k: s* y# ylet note 0
) u3 O0 B$ t/ S' W' m( ywhile[ j < people]
$ v* J: s$ m0 J7 ?[+ G2 R0 |0 g2 J4 L, u1 p3 ]$ `
if( length (item i; i) R$ Y& A' q4 x+ h/ C3 K
[trade-record-all] of customer) > 3 )
- b$ r+ s7 k% r
[, g" f7 P. y2 m
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
, y/ C( G7 O0 R9 A7 v[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]! l0 ^+ T' c; ~4 K7 Z; W; M
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]( W6 d% K; ?$ i; [9 X7 q9 }
]
6 t- f3 R6 F7 O$ h- p]
  r3 b) I' S8 m% p4 a& s. }* oset global-proportion note
4 Z# D& P# J8 |) h: e8 R]2 k  x, y, y1 W' h: v+ ?8 b
end: _# ^1 D& E, _3 d, u

6 R) ~0 Z. g9 C" [$ Cto do-trade  d! ~; i9 Y+ t7 D6 q
;;
这个过程实际上是给双方作出评价的过程
7 u+ O# Z% i; P& O) k* k9 Bset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
$ ^# ^8 Q: i: t  Qset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
' g5 q8 k6 a  q: K3 D# sset trade-record-current lput(timer) trade-record-current9 p5 ~) x' A1 p6 u  d* {. l
;;
评价时间
  e1 d7 y9 W0 oask myself [# B/ z2 b+ P2 A! z5 C- l
update-local-reputation
1 d% C. X7 ^: I( `3 G" R$ fset trade-record-current lput([local-reputation] of myself) trade-record-current
0 c: `2 Z# q# R$ I/ F( t]. R0 D: t2 q5 Z, i
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
9 T2 i- D5 y; }  e0 T: ]$ R" k;;
将此次交易的记录加入到trade-record-one% P) N8 L4 K# q3 U; ]5 J* A
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
1 K. q8 @4 ?- A# Q  xlet note (item 2 trade-record-current )( {5 J, w9 d5 J
set trade-record-current" d! ?3 R0 A9 r' J
(replace-item 2 trade-record-current (item 3 trade-record-current))

' s: P" ^* z% y% T$ Fset trade-record-current
; E6 m$ ^7 i) {6 c' u; S2 L9 R# v# z(replace-item 3 trade-record-current note)6 h2 W4 k. Q% w1 Q  r

: e7 x" K0 ?7 ^2 `' v% T

7 r- V8 u6 r2 T( x7 l4 Z4 R8 W9 Xask customer [: B, X5 _6 r, x9 ^  s  Z
update-local-reputation! |) e. C# P7 R
set trade-record-current
' e2 H7 P4 a0 w4 z1 m(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

- r% J; F9 Y5 E3 l' R]7 e2 ]6 g- O5 N

# S. M0 f6 }  l/ A- M$ e
* ]- B" a. o7 V* A3 |7 w
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer( V# q% h* s2 H
" U. ?+ Y6 a# s, ~! P4 M  F
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))8 I. O/ j% d3 T$ E) a, b: g
;;
将此次交易的记录加入到customertrade-record-all3 X! V  _4 K* q$ \
end
# X5 B) F$ N  ~& _& j1 d$ G* `' H; P% u3 Q2 e& ^  X
to update-local-reputation( x6 n& T& M6 t/ g; A# ^0 e' T
set [trade-record-one-len] of myself length [trade-record-one] of myself7 W0 T/ j8 Z3 l2 ?! W  b

6 g7 B& }& U/ Q; X% |! F' U& `$ G3 G% ]" k
;;if [trade-record-one-len] of myself > 3

5 ~6 e: t) p1 r, p1 M1 T! ^: S% zupdate-neighbor-total
4 w7 e, S$ P* \. p  j( n! \;;
更新邻居节点的数目,在此进行
$ m2 e: b' O0 Alet i 32 S4 Z4 y- A, H) A( [
let sum-time 0' U: `8 z) K5 ~7 j$ @
while[i < [trade-record-one-len] of myself]2 b2 @$ l, E; }+ \% J8 Y: @2 [
[, |1 J- p8 A2 V: w$ g% [, v
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
; b/ D. J/ o! N, ~, Pset i
2 M4 B! ?# J1 m3 E- [. R. ?' F( i + 1)

# h+ K, ~7 Z' y( G- B# m]
# L0 k$ e  L8 p$ n$ Wlet j 3
6 n: N2 B4 O1 K- q1 v0 Hlet sum-money 0
; q- i" s( {, Twhile[j < [trade-record-one-len] of myself]
8 F( p9 {+ d# j[
. e+ x% H) q1 h' T( M3 J/ sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)/ x& y. R" t+ i- S( o: _% S
set j
  t" S) _" L9 \  W6 H# H! ?( j + 1)
; d: u0 @% c5 i5 {1 I
]8 u0 `0 J. H* }
let k 3
! M9 t) H7 I# v# Zlet power 0' r* B, h' f" b
let local 09 V. G7 g6 e, _
while [k <[trade-record-one-len] of myself]
, S* C& G0 Q! i: ]6 C[
0 \$ Z5 r' C, pset local (local + (item 0 (item k [trade-record-one] of myself)) * (item 1 (item k [trade-record-one] of myself)) * (item 2 (item k [trade-record-one] of myself)) / sum-time / sum-money) : ~# I& t7 K2 c3 Q" A4 E8 o
set k (k + 1)' F) i. e: X* I9 D: b- H& q9 u9 |+ i
]
* c% \( U+ ]( r$ G5 g' A6 ?6 Wset [local-reputation] of myself (local)8 f, Z$ R: Z% c4 N- Z7 l/ @
end
# V$ m* G9 R; S/ ?. Z8 M- P8 ^7 W- J3 o" a6 {8 D
to update-neighbor-total5 a- I; t) m- ~4 n, m: H. Z# N
) f7 w* E6 u# E' X
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
- v& }3 o! d+ g/ ?; I  ~. O0 Q; U* `
6 L- A3 w: E" C; ]$ K  p1 e$ M

/ O. ~  \# T/ x: Z: S+ l9 Bend
/ [" Y# }5 g& A  @
! C# }& C* L/ o7 g6 A; D2 Sto update-credibility-ijl * C) a" z$ }/ ]. V; [2 a4 m! \
- P. d& Q* N' R" t4 \
;;
思路:每一次,当一个turtle发和另一个turtle成功发生交易作出了评价之后,就去搜索本次交易对象的邻居节点,对这些邻居节点的评价质量作出评价。; n! ~' d" Y1 z% ^3 v/ c
let l 0+ J7 q, e/ B# [* I- `# P; c
while[ l < people ]6 Q: c( i# R4 ?) h
;;
j的邻居节点的trade-record进行扫描,以对j的邻居节点的评价质量进行评价2 c- d, \; f& S
[- y: _; r2 F% Z$ t. _; {1 M
let trade-record-one-j-l-len length item l ([trade-record-all] of customer); x# |% r+ _: a
if (trade-record-one-j-l-len > 3)
; V+ w1 K) z. i[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与ltrade-record-one2 _) l8 Z8 @6 j6 V, f4 R3 x
let i 3
% _% N0 }- G' ?- Slet sum-time 0
' F  t3 i1 E; I5 x* Z. Kwhile[i < trade-record-one-len]! t/ U6 ~/ h& @, Y# {- B0 D, L
[
' a) B3 F& a' M# ?: X& q$ Cset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
! F/ r+ c& m$ tset i
) A7 P. Q; |) B" s4 B+ d& k  ~! }( i + 1)

3 R6 Y# X! u6 n  I]
( E! A% N$ ?6 d/ G% B  Tlet credibility-i-j-l 0
+ E9 i. P4 Y6 r5 v# R* s) `7 A" n;;i
评价(jjl的评价)
- b2 [- c6 D8 D. F8 Rlet j 35 I) k2 a/ f6 n  o& ]
let k 4
/ \/ m$ q$ [+ x% _) e' a7 Zwhile[j < trade-record-one-len]
% @6 w$ q( F; H" G5 M" [[
; L5 I; C% C3 i1 ^, N; Y6 A) `while [((item 4(item j [trade-record-one] of myself)) - item 4(item k trade-record-one-j-l)) > 0][set k (k + 1)];;首先要寻找在ik次给l评价的这一时刻,l相对于j的局部声誉) @; L, b6 B  O9 ?$ \/ x' }; G
set credibility-i-j-l ( credibility-i-j-l + (item 4(item j [trade-record-one] of myself)) * (1 - abs ((item 3(item j [trade-record-one] of myself)) - item 5 (item k trade-record-one-j-l) ) )/ sum-time)& x6 C8 ?; B& _3 r& \
set j
5 f" f0 k' h" ]/ M; [2 l. K2 R% Y( j + 1)

3 |* `) e$ H$ X" z% b]
8 J* s, n6 [0 O' _; s) xset [credibility-all] of turtle l (replace-item ([who] of myself - 1)([credibility-all] of turtle l)(replace-item ([who] of customer - 1) (item ([who] of myself - 1) [credibility-all] of turtle l) credibility-i-j-l ))4 c1 N2 i" S7 o1 Z0 I8 I

' S9 R0 s4 A3 F' ^% n8 e( Q0 H

9 p5 j/ e' _" ~/ s9 H5 {% slet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
7 g5 U7 n* [6 n;;
及时更新il的评价质量的评价
# I; ?+ \# c' ?0 q+ \set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]8 H' P, N' ]' n0 M
set l (l + 1)
7 o3 W8 Q' L* U]! ^2 z: w4 o1 U0 S- S& o9 l
end
: L5 m3 m  }# F  X8 M* U" G9 `! K  K; X* [, b" W: ]1 p8 U% n
to update-credibility-list- e! t% S: i1 F' @7 Y( M
let i 0  U, K3 z' H7 _# A3 @
while[i < people]
& F9 Z9 v- J7 i) X1 g  Y4 [. l. ?[1 d# N2 [- _3 j. W; g
let j 0
" h% ?! }3 x+ i$ }& ~3 ulet note 04 N/ i. F1 F* X# K, |& ?1 Q: e* Q! @+ [
let k 0( i$ v" _7 U* b+ ^4 m. P
;;
计作出过评价的邻居节点的数目5 Q# h4 q& J6 J* H
while[j < people]
+ [- x6 b  H* y0 o1 Z[
4 B: I. V% j: V- |& x, y. Xif (item j( [credibility] of turtle (i + 1)) != -1)7 p' C4 _" P5 `" V! @# H/ w- ^
;;
判断是否给本turtle的评价质量做出过评价的节点
9 D! y3 ^/ X1 j& `/ L' g: A[set note (note + item j ([credibility]of turtle (i + 1)))
4 V5 l; `/ e+ M2 ~' N9 };;*(exp (-(people - 2)))/(people - 2))]

& m/ X& z1 C0 ?2 vset k (k + 1)- e3 ]* n. J+ e+ n
]
+ K) X# m$ `; x+ Lset j (j + 1)# U: |, q0 z+ I# P5 F4 o* v/ L
]. }$ m5 Z! H, v) P1 W3 J
set note (note *(exp (- (1 / k)))/ k)$ s! l- e9 y6 {2 l4 E4 D. a$ k% R3 P
set credibility-list (replace-item i credibility-list note), v6 G( o6 ]+ ^5 ?; m
set i (i + 1)
$ I% r! y8 n$ }+ n, {0 X]; _9 U0 L3 V% F
end2 ?( ]3 w2 D1 s! d
. c7 Y1 v: e) @
to update-global-reputation-list
0 p% d% H5 X6 x! Y  [' X8 a$ v4 Clet j 0
) s1 k. z& x: x8 vwhile[j < people]
1 z- d- V- Z) j+ @9 }8 W& A[0 i+ X, n/ G8 \3 y  G
let new 0* c; r# J; p2 g! I% z. N; @- |
;;
暂存新的一个全局声誉9 A, I! K. g0 q9 Y
let i 0$ n" ?3 t: T) U8 S6 k: _
let sum-money 0
( x/ O" ^8 b& g4 Wlet credibility-money 0
' S/ p  \3 w+ F) Dwhile [i < people]! W  S6 j, x9 s% z; Z: j
[+ Y9 F0 z3 L% r: r& D
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))6 f6 w. o! [  O8 h, M
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
( T* g% x" W4 Q4 V  C! d, mset i (i + 1); ^3 _0 P2 f4 s) l7 _) B. x
]
- U) n: B; f6 v; a2 L4 nlet k 0; D) B. ?# g* M2 r
let new1 0
, n* m( n) b/ ^while [k < people]4 Z% O' Q& G6 B  ?
[# b% n6 ~" N9 S2 U+ T; ?
set new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)
: C" o) R/ o2 p# M3 o. @set k (k + 1)
5 h% E$ y5 w. s* U3 ^6 D2 x]
8 w/ R  G# M/ P4 e, m: C+ Qset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) " v9 L9 l0 d- ]: x- P' [$ D6 l2 o
set global-reputation-list (replace-item j global-reputation-list new). @6 D* c! i$ k) A9 K4 Y
set j (j + 1)
: t+ W! ?9 _/ ^7 N]7 K5 _( T4 ?2 R) ?+ O6 d
end
0 @1 i/ V' O0 ]( o0 _
2 g( F5 a, T0 m- p! F+ K3 L
1 g- k* }% t4 _/ x
; A" M* C& S* w5 h0 Z" qto get-color
+ ]4 H  R2 M' J" T" o6 f% k( C' }; m: S8 P, M
set color blue
( a  X9 ~$ T: M6 ^5 T
end& X) _6 u6 n1 l6 e, r
' Q  B0 i5 E& i
to poll-class
4 T* a3 @5 K0 U( ]end$ K* q' p, T/ s$ r" ]
- A7 h% D0 J+ ~! B/ C
to setup-plot1
+ X6 R; j( h/ i" \$ t; {+ f, R: m9 s* ?' ?' p# m: ?" H
set-current-plot "Trends-of-Local-reputation"

# F  }  o* T) |8 v( H2 t7 P0 u) T9 D. b
set-plot-x-range 0 xmax

0 i! Q/ Z1 E9 w4 n9 h, j
8 Y- m% o/ I0 ]' n! ~6 k6 Wset-plot-y-range 0.0 ymax
& g0 M" t7 k$ P' g1 g
end
' y: {; X9 V8 j: x% w. e
; o* V0 x2 D" W5 M1 o! H9 \5 mto setup-plot2
! ^% l) L8 k1 z) h
5 I& D$ t8 X+ I6 a& H" p# l2 I! aset-current-plot "Trends-of-global-reputation"

2 H" O1 M% z- Y/ l: O/ j+ S, P; X: j! k3 B; b. q0 K3 I& W% G( M0 S
set-plot-x-range 0 xmax
3 D) x/ ?6 Y7 h, Z, [0 Y
8 y& d8 V! D2 ?5 f
set-plot-y-range 0.0 ymax

9 g$ Z6 a/ H0 }" u0 ?7 K5 Gend
8 \2 Q9 f0 y, @. @, P5 Y* ?3 U( z& g/ }2 E$ n, j+ b6 T1 |
to setup-plot35 R& P" F! m$ W/ ]+ W9 y, Z0 I
0 y+ p4 T" S" A! u6 q' X1 a! W7 R
set-current-plot "Trends-of-credibility"

) d3 ^; t% V4 }$ X) w+ ~
" F3 }- I( L) e; |5 w' Fset-plot-x-range 0 xmax

/ u9 ^, q% t% |( g& x/ Q
6 `7 t8 m+ d% h4 u1 j: jset-plot-y-range 0.0 ymax

) f2 E, t3 j) D9 z  L" q/ ]end
* c4 y* j1 g/ G3 C/ O* g7 f% S* L3 n4 @3 |( g0 r6 |- ]- k& S- M
to do-plots' x) I9 ~4 H# T6 A9 N5 `
set-current-plot "Trends-of-Local-reputation"2 T. J- u- w; F9 W7 e
set-current-plot-pen "Honest service"
# Z! j9 v( d8 t4 f5 ]end
) _. s5 g; F1 ?2 V% @; }% t0 Y5 F1 {) C
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x
发表于 2008-3-19 11:33:07 | 显示全部楼层

有点困难

没想到挺复杂的,我去问问师兄们,不知道你是自己建构的模型还是其它模型的改进,我试了一下好像setup都有问题,别着急啊,呵呵 。
发表于 2008-3-19 11:34:29 | 显示全部楼层

还有啊

发表于 2008-3-19 11:35:59 | 显示全部楼层

还有啊

能不能传nlogo附件上来,一个一个敲太累了,好长的程序啊。
 楼主| 发表于 2008-3-19 12:47:57 | 显示全部楼层
嘻嘻,不好意思啊,现在把附件加上了.
) j( y5 A7 s- x# S9 y2 E) H( M7 |$ A; F- H7 h
这是我自己编的,估计有不少错误,对netlogo了解不是很深,请多指教,谢谢!
发表于 2008-3-22 16:55:16 | 显示全部楼层

程序公式

我问了一下,只是从程序角度来分析,是跑不起来的。如果参照你建的模型(公式),可能会有帮助,我的邮箱是wjcpcahu@126.com.方便的话,看看能不能进一步探讨。
发表于 2008-5-19 18:02:44 | 显示全部楼层

运行不了

提示custom无值,这是怎么回事?
发表于 2011-4-10 14:42:01 | 显示全部楼层
好高深
发表于 2011-11-7 11:36:13 | 显示全部楼层
为什么大部分的帖子的交流都止步于2008年,从08年到现在好像已经很长时间没有更新过了啊,为什么呢?
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, 2026-2-25 20:42 , Processed in 0.024420 second(s), 18 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表