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: 18158|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:
; A$ a- N3 a" V. I# gto do-business / H$ B8 G* M# }8 \7 k
rt random 360
8 `1 N+ M5 ]% ^9 m fd 1/ ]% V$ v1 P2 x% ^& p) b, Z- g
ifelse(other turtles-here != nobody)[
1 _  X/ x5 t6 K   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.
( p' c5 e. z9 m$ J$ Q+ G$ \) F3 K! L   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    7 u: c2 M/ x- ]1 T2 m
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
5 v" @3 X5 f/ M3 x9 G   set [trade-record-one-len] of self length [trade-record-one] of self
7 C( m; }1 o$ Z% i) |   set trade-record-current( list (timer) (random money-upper-limit))
7 F8 f$ }( _; V  W  }6 V2 L, K5 M5 b8 t8 N9 e6 _7 W6 `
问题的提示如下:: H: X8 G- l" |

; c: p& {8 M  j7 B) o! O; s# nerror while turtle 50 running OF in procedure DO-BUSINESS+ B/ o1 i) N7 S+ \5 M# }
  called by procedure GO: }- D6 V2 H% A0 c
OF expected input to be a turtle agentset or turtle but got NOBODY instead.
8 z% ~( R2 s8 N& X! Q
(halted running of go)
" g1 U5 {& P: y  P6 ^  u" k
% S; O3 U, G" `$ e8 ?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~~$ c) T4 ?/ Q' j
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
* U# b, q+ M2 c( ~globals[
9 E0 \% C% K- B% k; N; {6 p8 P, wxmax
. l( y; ?: ~; P5 ~3 r( {3 u( \& b, |ymax( U  Q5 {$ O% h/ F0 N) `( w
global-reputation-list% n4 w. }1 @. {7 z" [, X
% X/ X( O# z6 B+ M6 b4 _' E" J
;;
每一个turtle的全局声誉都存在此LIST
+ h4 T7 ?8 K5 J9 J5 R/ @credibility-list
5 m8 R" K0 N0 W; W: O;;
每一个turtle的评价可信度: b- }1 m+ U) K( Q
honest-service7 a$ H7 f; f, O& k# z. y$ H
unhonest-service
2 z7 U4 @" m: F, h7 Joscillation9 i$ U  @) s6 @, d1 Q
rand-dynamic6 }/ b4 b& Q- f4 h8 t! N
]
9 R. _) ^4 k1 ]9 b( q
2 W; T9 h0 g$ ?* F! o% Xturtles-own[
$ ]& @4 x5 P# Y0 ]trade-record-all
( C5 g1 f. d6 };;a list of lists,
trade-record-one组成
- ^% O1 O. k% F; Q6 strade-record-one
0 P$ ~$ A' E0 g: K;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
$ v9 Q+ E% H6 p# I* K* Q% [
" i+ S8 H) T5 J) g, B;;[
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]]
" T: t) Q9 A! b: b: x$ Q) jtrade-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]* r2 F3 g4 T0 Z- [) d5 v- k9 c
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
5 T! V8 w3 a5 O0 B. W% \) gneighbor-total- g3 c! `5 x5 q2 x  k6 a
;;
记录该turtle的邻居节点的数目
, e+ N4 p: j/ A" Y3 M5 M" A9 ctrade-time
2 ^0 H" _  g, |9 V. U4 v2 v; Z7 K;;
当前发生交易的turtle的交易时间8 F3 N! s4 r# i  G  l
appraise-give
5 m) q% p! h3 K. B5 t, f;;
当前发生交易时给出的评价2 T7 B8 [) v0 \
appraise-receive- X0 N5 F5 u& Z* j' t8 u; o3 u
;;
当前发生交易时收到的评价) {! G0 m2 d% Z5 [
appraise-time3 K  C# K6 j! U4 p
;;
当前发生交易时的评价时间8 ]* O7 A& m6 @$ X
local-reputation-now;;此次交易后相对于对方turtle的局部声誉# E* Q8 T" h% e+ f% l
trade-times-total
9 u9 g; d# V. k; H;;
与当前turtle的交易总次数
. I# b* z9 T$ w; Dtrade-money-total& H9 G; a" v2 b+ e* D/ }
;;
与当前turtle的交易总金额6 j. a) u: x! ~3 `% _0 N8 p" p& Y
local-reputation
$ e$ |6 s% {* B7 V# Q0 r: `global-reputation
# T6 S6 J% _" T) k2 }# ?  t8 [8 Gcredibility
! [8 w* F- d/ T2 a  ]* A8 |;;
评价可信度,每次交易后都需要更新
. c. I5 A* _! o$ _, L% Pcredibility-all6 F7 s4 a4 l9 d6 h- t6 t
;;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
3 Z# o$ ^2 G, r' o. W8 H! r3 {$ {. u: Q- N3 Z3 ]1 u/ a
;;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
; P( y+ k6 `! T& n5 I% c; A6 \credibility-one
6 o) C7 G% a' b7 k;;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
; c% W2 K: E  U! \5 x9 @global-proportion
- O; O! R/ d' i" h( _0 j  f( {  a4 Bcustomer
% s$ M# {' P- b2 W8 \4 H/ `customer-no
: n1 n. B" r: A9 m4 @# ]trust-ok' ~  [2 X, V5 e' _+ T' k
trade-record-one-len;;trade-record-one的长度3 e* f  j& C+ G. C
]4 @; f+ i( X+ n( m, n

' }4 L& U3 V% L& K4 y;;setup procedure! ~$ L  d/ z# Q9 X. X

. s" {2 I- v* b: `to setup
4 @3 h6 g6 \! y2 s! ]. y0 _" O8 ]4 i' Z! y7 B; |; |/ w
ca
6 V6 H, O5 `( m1 h" R& g9 y, [
# C! a! M2 w. Z7 `. C* u+ E9 N$ b
initialize-settings
" B; j5 m: _2 ^* D- Q; @0 C
5 v8 t  F, S: D
crt people [setup-turtles]

: `+ b/ z$ J% R! i; J- }8 @1 U
& S3 V) f. s6 C/ E  Sreset-timer
; ^# u5 h$ L; D: _% N
, R- m# r2 g- L. a& ]: _
poll-class

$ q! J$ C1 |* M. G
/ j6 o# \9 Z9 S- _- Csetup-plots
5 ^$ u" w! u  v) x, N

7 f9 p- T/ C/ A4 p. n) Edo-plots
5 S- E3 ^. b3 C  l# [
end
; \: e% H7 `. z- o5 C- h7 ~/ w5 m, x) F, u" L1 p/ E! f
to initialize-settings
, f! `9 @1 v: h* ^) E. y! Z* R1 ?2 x4 Q* o. Z+ c9 {
set global-reputation-list []
, }9 g' {4 X1 l5 O
' i5 j8 g, m9 K( d1 ?5 q
set credibility-list n-values people [0.5]
) ^1 g# u' J4 s8 }+ B
3 g# L5 F5 y. d- k* c
set honest-service 0
1 p: K" q0 I# z7 e" d% \$ e
( N2 J; H: l7 V8 C; V. B, c
set unhonest-service 0

# h& i! d2 y; H0 l9 z4 k: @2 [/ }* b
set oscillation 0

+ ~2 i# V( _( b
" ~- y4 L, R( V! D5 Kset rand-dynamic 0

( t+ l8 O9 }9 o9 Z: M7 @end
! k4 T% L& c5 E$ O
+ ]! `% M) }  J# t5 s7 Cto setup-turtles
6 p5 S: t6 x' h5 C7 fset shape "person"0 q8 |1 h) |' L8 w/ g# |, v$ R
setxy random-xcor random-ycor
' ~" D: M$ n1 l1 j0 V9 p5 ~8 Uset trade-record-one []
+ ?8 A% q8 ]" Q2 r) ~% n' M

; ?' B; p8 v! iset trade-record-all n-values people [(list (? + 1) 0 0)]
1 [+ N% j9 b- N9 d& i% L8 g
9 ]6 d2 v' A5 A- [2 R4 E
set trade-record-current []& X9 e) P" y; R
set credibility-receive []: y. |* U- I4 l0 N& [( d' B- n
set local-reputation 0.56 n% h9 Q- s% m0 _3 x3 b& P
set neighbor-total 0
5 k  B# M/ z- v; V" i& \( O: fset trade-times-total 02 U$ M7 R, x: F- M# T* E1 I$ L
set trade-money-total 0! u$ @* ?: t4 {' R  A8 e% q! e
set customer nobody3 i9 b. m, d, s1 n* i1 q
set credibility-all n-values people [creat-credibility]
) r0 ^# Q: H+ \8 e. \% a, o# Gset credibility n-values people [-1]
2 B' \& q* b9 x% ?get-color
7 ?8 d- R; d: S' l1 e& {
1 |" N, T1 N1 Q! e+ \; o$ {
end$ T' J& D: z. ^$ H" r

( r# m! e0 ^3 o  N9 W2 mto-report creat-credibility
) c% H1 y0 b0 x1 P* ereport n-values people [0.5]$ b: _/ a6 P+ Z0 ]! }5 c% ~
end
- k1 H9 K% C3 l! [" a) |+ V' n
- N& I7 o: O& @- Z) \3 e  Sto setup-plots& g( i  F$ _8 a! }
+ U$ u. ?7 l' ^3 ~) T; A
set xmax 30
' `9 L( i9 w3 g$ I0 h1 h

6 X) j. x: u% g+ I1 q* |2 @$ }set ymax 1.0
) d2 W$ B3 {2 D5 b- [
( T; l7 F+ p0 Y8 O9 I
clear-all-plots
, H6 V; u9 q6 B: R  u; M

: \5 N/ ^( U% bsetup-plot1
) X9 G1 j' x6 _
1 E3 P1 |* }- M
setup-plot2

  M6 @3 [1 ?, f+ a& g8 U) g9 ^5 {
; x( ^7 k$ W1 i2 A, C- @setup-plot3
  J' e, ?; l  X
end' V$ @" G' j! [  d# {

$ F7 a3 g! R; g- n5 M- x;;run time procedures* ]5 {% d  `$ x" o

7 D" w- U# M7 rto go
) o  D4 G; l  @8 `0 D0 k' R' q# M4 v
5 J/ F% W. m" \ask turtles [do-business]

& B: }* }6 P  v. B( v# ?end! q4 B8 |6 ?0 y5 |

" U; R/ U/ L( k: P. Y- _2 E" e; U- qto do-business
0 P/ T. }9 e+ Z4 O

- Y4 F" q. `4 n) C& c" D  j3 u, y+ F: u8 l  t
rt random 360
4 \. K. Z' J8 ?3 d& B  K
/ V. T/ ]" l* v% {! l5 P
fd 1

/ L5 n1 m2 ]2 C+ L
3 F& X6 H, i: Z% o1 I# jifelse(other turtles-here != nobody)[

; @( ^6 G/ P( R. o  S0 n. x2 [; k5 Z  Y+ X, l$ p
set customer one-of other turtles-here

; V% ]: S  S3 C0 Z) F8 ]. d; ]% H5 p6 o
;; set [customer] of customer myself

9 s, s$ x7 ~" m8 z# ^2 {" `0 Q" U7 D( P# W# t  p$ {
set [trade-record-one] of self item (([who] of customer) - 1)
* |+ L* n% |( d8 a[trade-record-all]of self
- ^2 ^5 |& _4 i8 }0 k+ d7 ?0 y;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
/ F9 w+ b9 N* u% ]  ?2 `

' i* n" D+ S# f, @1 x" B1 Oset [trade-record-one] of customer item (([who] of self) - 1)3 ]# ?6 T( S) V7 a/ y2 ~* c
[trade-record-all]of customer
7 P$ @' G6 {6 Y  f

/ C( w: H' w$ }; W: iset [trade-record-one-len] of self length [trade-record-one] of self
) u1 A# y- `, L8 I

" }- l/ o1 i7 e! V& Oset trade-record-current( list (timer) (random money-upper-limit))
$ i0 o" s! l" w  C
$ i# G1 {4 [2 Z  }1 W  C' m
ask self [do-trust]
- l1 g  ~) S) d;;
先求ij的信任度
5 Y! f! N! q& ]- @( y8 W! ~
8 O$ H) V% b' ?* u; e$ m. k+ a, H. hif ([trust-ok] of self)9 l9 ]. P# K/ V3 \/ i
;;
根据ij的信任度来决定是否与j进行交易[+ H0 i( c% \+ c- K0 x- A' U
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
- o2 ?- q- J  h1 Q: l2 t
/ ?' C% ^5 k4 J$ C3 N* D5 ][
. i+ R  O) z. y3 U! W3 B
9 [; o; d$ @% s
do-trade

6 [7 |1 K4 |8 ^$ _. b8 k
4 k& G5 y3 f; q0 J( |update-credibility-ijl

, X  _/ t; `& L8 y
. H8 C9 p, k0 t" Bupdate-credibility-list
! c6 z  R' G8 }7 r

  X7 h: b9 T  F( X6 s
' E) n0 p3 i+ Oupdate-global-reputation-list
5 N2 Q. Z. N6 c3 F3 B* O$ A# k/ |

. k" z" n. y$ m! O' ~  kpoll-class
$ _) f- t3 `3 K$ J

% ?% T6 ?. [$ u4 Yget-color
5 u) N& q" l7 K

6 Y( E7 T; x5 ~  @( U9 o8 f]]( ~! n1 l) d* c7 G. i( b

0 ^; P7 B) T/ }  h$ d;;
如果所得的信任度满足条件,则进行交易1 N2 H& F. h- [9 L) }. Y* V
; l: v% G; m  }; `; y
[

" r* c( B0 Q9 g7 h4 Q9 R/ J
3 L0 A: L: y* c9 L/ Qrt random 360

  e( b9 B  X* L
* K( n- X- B: [/ O0 y% B  ^" C2 ?fd 1

. }- m/ Y+ }" ~# k( T6 L/ ~$ M" N7 I3 }2 \) x( p) f
]
( R  l; U1 [* q* M+ i
' c( `$ S: u7 f
end
/ J( l) ~; r2 Z0 U, t5 a- j
4 @' S& H+ ^1 y* n" I  a2 D
to do-trust 0 b9 M0 G& l: \( k# I7 h9 {& O/ n
set trust-ok False/ H7 y1 n; r- o0 ?1 t& k  o3 N" i0 N/ M
- h8 Z" B/ Y$ {* J5 t
. i$ z* ?9 V. R
let max-trade-times 05 m. j9 J3 k4 @2 j: Q& h
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]! M% ?: c% c) M) N0 u
let max-trade-money 0
  E& G* O- g: |" q$ W; F- J+ V6 Eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]5 O; F9 H$ A; y) L, j0 I8 V
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))- B- y7 r- X4 l' u8 C" Q% Y
5 h+ o' e: G$ A- G/ k/ {4 x) {
* a9 D3 Z; I0 l, e- k; `7 r2 E
get-global-proportion. v! w: X1 s7 c$ ^4 X
let trust-value
; l( \( l% X8 O" |! i4 R. r% nlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)

9 K8 }, p9 f: r: ~* O0 s) `if(trust-value > trade-trust-value)
% T0 N7 ^1 E4 D$ r. Y[set trust-ok true]
0 r9 ?' n( ?, v0 ~# j4 rend
8 K- _, O( E% L8 f4 O9 ^
0 L) l) a% J% wto get-global-proportion$ l+ W, H" f' j+ A* T& H' |1 j
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
, f/ a" _2 f  m6 ][set global-proportion 0]
4 R) m6 `  _8 z) I8 W[let i 01 A# k8 u* m* b+ e  l
let sum-money 0
; [- p6 @: X' l, ?$ g8 |7 wwhile[ i < people]+ K1 `& J+ Z7 n$ F7 c7 r) o. n
[
, d  e4 n7 Z& Oif( length (item i* g, ^% t! u# U( j* U. k  K
[trade-record-all] of customer) > 3 )

" b9 A! ~) a. n0 m; F[
) @  W& ~3 Q$ c* n9 p& b9 sset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
& Z" ^+ }! z( }3 J  `; z/ d7 o) \( E]
! J% ?# A* g+ B6 K" h5 E]
4 F! c( V. J" @$ Clet j 0  }& W+ w. n2 B. l% I$ E% i3 F
let note 0
: l/ z! O! a$ z) {( O" Bwhile[ j < people]
$ M8 [, y; {( \* c7 n[
  h' z5 m6 |$ W9 Y+ R+ Sif( length (item i" t' i: m% L# }
[trade-record-all] of customer) > 3 )
' ~! ?% O7 j, @; `0 \# U
[
- \9 \+ W6 u6 h9 g( y' e) c" m$ D9 J+ aifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
1 U6 r  w. h( j+ ?) t+ t( S[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
! \. h4 J) t) I0 u" ?3 ?6 x- B[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
' W" {- A1 |4 a7 I: h], ?; V3 s$ w# t
]$ a  N" R5 a+ Z% K/ v3 X
set global-proportion note/ E4 }3 _7 {* G( y
]
- \+ n5 ~' z* hend* e( s# x* Y: P$ f+ J# d( F; k
/ ^; {; B' ]: P9 m6 y  g1 ]& l
to do-trade; m" T$ s6 ?; U, ?! r" u' s) f" m3 K
;;
这个过程实际上是给双方作出评价的过程
6 w3 u8 {) h* m- h. r' T7 I8 Mset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价6 U  W7 @/ \2 w
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价; Y3 q( }4 F% [+ t6 K/ Q* r4 J
set trade-record-current lput(timer) trade-record-current3 e5 \$ `- _3 F. F+ T9 q1 k
;;
评价时间
2 c9 d. o  F2 l1 P* w! Hask myself [
/ b/ [3 M1 L! H" R& h" }  G7 T9 Rupdate-local-reputation: @' D. L/ I2 N
set trade-record-current lput([local-reputation] of myself) trade-record-current
2 N- y4 V; S8 {+ U]
6 z% s5 q# k& xset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
) V9 L0 t# x5 {8 U;;
将此次交易的记录加入到trade-record-one
% V, N( K# A9 h1 Kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
- a' p" d' H) |$ ~3 D2 {2 vlet note (item 2 trade-record-current )4 x5 y- x' J0 C
set trade-record-current8 t; A6 F2 @% e
(replace-item 2 trade-record-current (item 3 trade-record-current))
9 b- c2 j, H1 ?1 E
set trade-record-current
: F, p( z, g7 z6 c9 C* ?: p4 [" e(replace-item 3 trade-record-current note)
8 `5 f$ s; p/ V8 ~8 v: V7 I3 ^
9 m; b  T6 F" v* f3 z& P
; t* G$ C# Y8 w6 S( h" Z
ask customer [( y3 S2 s6 f3 }! Q9 L* R$ _7 p  j& |
update-local-reputation) J4 S( y6 K6 q3 q. q7 _
set trade-record-current. B4 H' J8 _+ C& E3 k; W
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
8 Q2 h* u4 t) {# t
]
4 S3 N& }+ A" f0 D" S  c3 P6 H
  R" z% S$ Q3 O% l1 I' S& L9 `
0 e4 Z( F2 `$ |5 R; e4 N/ F. Q
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
0 @7 O/ Z" T5 c# N# _" h( N
  C8 k! Q: U& E
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))8 M: X- _/ ^8 o# C$ o7 b
;;
将此次交易的记录加入到customertrade-record-all
* y5 Q5 ^4 ^4 @5 c$ S! Aend' s& N2 J* i) g
9 J9 S& o0 ?7 G, @8 W4 }, v1 |
to update-local-reputation: w8 J; |& K  R7 g
set [trade-record-one-len] of myself length [trade-record-one] of myself3 n5 V3 ~9 ~$ n$ K

$ f( Q, W# T0 W; f; X. b6 O+ w; N) q& E+ b; m
;;if [trade-record-one-len] of myself > 3
6 ^6 @; i* }6 U) x% J
update-neighbor-total1 ?* F- z# a* k" R% `
;;
更新邻居节点的数目,在此进行- D  L/ d3 |3 q' C. k! v7 @- [/ M
let i 33 B6 l! B+ I8 B  Q) |! \6 d) o
let sum-time 0
* M# w! r/ {; {+ Bwhile[i < [trade-record-one-len] of myself]& e  j' I- U- }7 @
[
' B3 \5 ?* R  g" b( {% c1 J$ kset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )6 E3 F" h' G$ ?! K) d/ m5 `
set i. C% T* m+ `7 A
( i + 1)

2 ?* b8 v% K2 ?9 b]
1 y  T$ u  C2 s3 Z9 zlet j 36 p2 P/ X+ ]) Y; l- M' R
let sum-money 0  \8 o" V  M; Q. x, W& l
while[j < [trade-record-one-len] of myself]' g+ z4 W$ ?. L2 k! X$ Z. y4 i3 E
[
: j$ U! F! j$ Q7 e1 Qset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
( H/ m6 ~5 l( h9 z4 ^5 Fset j* l5 I; ]9 }( |: t& ^% D5 G' V( s
( j + 1)
3 H, F: y3 h. w3 p. M1 s6 H! i* Y
]
4 l, W( v: D% s+ ~+ e7 ilet k 3
) K$ Z" v) j8 X& q% Wlet power 0
+ Y% d: L8 u" H7 {0 q. u! nlet local 0
4 }$ ~* I" m+ n$ T( C! i- y5 ~/ Kwhile [k <[trade-record-one-len] of myself]
- Z& P! Q1 p% H& }; q+ k[  G& o; g! R- E8 ]& M1 ]. u
set 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)
1 G5 o. u/ ~' p& L. J* a- v" tset k (k + 1)
8 m- L7 C1 v& b2 M& C8 [, }9 W) v]4 {1 C0 u9 R. y" n7 Z+ @& V' F( A6 i3 d
set [local-reputation] of myself (local)
/ U3 U: @- y2 ]4 n7 n2 @end- J2 A+ j# Q: X" g& H; b: I

7 z8 ?- P7 Q0 e' X, Kto update-neighbor-total
7 Q2 Z4 ?. [0 \& \7 z5 P9 h/ h6 \7 _5 |8 @7 W( w4 }# G
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]7 ?0 `9 {5 C, l  S
! y, c4 x- s6 A1 g: ?. w; h- n
. {; {6 r7 j! i: M% i
end
% R  C7 Y9 q4 Q0 N0 F/ b. g5 g0 n. k$ W
8 w+ [3 H: U* Z/ [6 m' L( Ato update-credibility-ijl   W2 o5 a( f( [0 o" V' @9 q% p# K

) ~3 C0 |! P" w/ F+ `: g;;
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。9 I* L2 h/ M0 I2 T4 I# u+ L
let l 0
+ e# J: @4 @' b* \1 B/ ~0 Iwhile[ l < people ]
. r9 |. _) ~& G;;
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
5 `! A3 E$ ^; P- O2 s& W% G' g[) u6 R% D% M8 o) Y
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)2 X2 S* z# B1 D6 t; v
if (trade-record-one-j-l-len > 3)
- I/ t/ G" J6 m$ `+ S[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-one6 Y3 d4 E. K9 {; `3 q' k
let i 35 v% q0 j2 Z1 t9 T0 p2 s" D+ v
let sum-time 0& x, i8 t* h" P) R: R% b) I
while[i < trade-record-one-len]7 E( _8 I# w& b9 ]9 J  e: ~
[8 s; I4 E, E1 X& m0 M  G
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
3 K1 c7 n* z! ~/ wset i
) Q! m! C9 p8 `4 Y( i + 1)
3 W& q4 {. @+ R$ r
]6 ]: Z- k& l+ _
let credibility-i-j-l 0! T( P# M, P& c* s
;;i
评价(jjl的评价)
7 \) Y1 O# n1 }: r3 xlet j 3
" x6 r; H; o% w$ N6 O7 O  e* Zlet k 49 }' r% s  S7 u2 x7 [
while[j < trade-record-one-len]0 R9 ]( B2 G% ]" v3 U/ t6 f
[$ |7 D/ r' e1 Y8 t, K" |2 S# n5 X/ ~3 l
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" P3 i( R; F0 N$ B2 S+ A" s& D; w! x! @
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)
. t: r3 ?4 V  w; J' Z1 [2 |set j
' Y% C* o1 \4 K' [! j7 |( j + 1)
6 A) q5 U7 X0 N" p3 C- Q
]
4 o* v* {2 p( I3 Q+ L% l+ _set [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 ))' A6 F$ F' \3 s  E& M" w
* t) M" O" I" L" B4 G6 z

5 H$ w! R0 ]6 X9 Nlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
* G4 p2 |9 A* d  |) Z;;
及时更新il的评价质量的评价
: [- h7 h  M4 ~) n2 [  x( S0 Lset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: g: h5 Q1 h( B  \
set l (l + 1)6 i- W0 {* j8 ?, D
]
. H- x# q$ T6 G2 _end
2 h, d2 ?1 k4 n- n. ~2 o2 Q' E9 z5 h; `+ `
to update-credibility-list6 U/ ^1 c* e" b) N4 S( b
let i 0- P. S8 |7 F5 q6 [6 R4 D7 @
while[i < people]5 l4 q9 C  N& Q
[. Y) n/ C/ p: M: `9 F
let j 0
# W! ^7 i% q9 j0 H" Nlet note 09 W6 b2 K% U' H  f( Z0 |
let k 0+ k: G, h6 g! h  y7 ^( O* k
;;
计作出过评价的邻居节点的数目
& r; w2 Z3 {1 d6 M# q& Ywhile[j < people]9 [+ v( |$ ~* R: o; ?  z
[0 u7 o/ r9 l4 z" O/ q  h# R, N+ z* q* t
if (item j( [credibility] of turtle (i + 1)) != -1)
" R$ ]% k9 N2 l1 P* n;;
判断是否给本turtle的评价质量做出过评价的节点; t9 W5 V1 L6 U9 V4 U
[set note (note + item j ([credibility]of turtle (i + 1)))
- m6 a# |8 g9 X' n" \  H3 ]2 H;;*(exp (-(people - 2)))/(people - 2))]

  T5 p6 w/ t; m2 F) y- xset k (k + 1)
* R' ~, e- P1 F$ u; _$ b  Y) {]
! [) N6 W# X3 k; [5 h" K6 B3 rset j (j + 1)
* n0 b; W  l+ h]
( ~" ]! b, n& Q* ]* Cset note (note *(exp (- (1 / k)))/ k): s% y  P7 K' i* X' h8 V4 v/ T
set credibility-list (replace-item i credibility-list note)7 j0 K% W2 r9 V' C3 _: L7 S( z
set i (i + 1)
9 h* k! }* @+ ?- z) V! j& \]
1 I% b& F! i5 B/ m& q- xend6 a% k4 k+ P' g" ~% L9 U/ _6 i

" I. w9 D0 S6 ?+ Rto update-global-reputation-list/ H1 G: a# [' T! m& C5 L
let j 0
& S4 j! x" t& _! E: j$ Rwhile[j < people]
$ Y/ Y; _# y: [" w" V( z[
2 O4 J6 O! s  |' Z2 [$ Glet new 0
- |  [! h0 C) o5 Z- O& Z: Q;;
暂存新的一个全局声誉: y+ V+ z* F+ h; J2 \/ p9 U
let i 0
, H7 [; Q* c% ]! a7 d. ^let sum-money 01 \. Q) h& k) r4 A- [- u" \
let credibility-money 0
) ~! G! R1 v  y3 I7 k2 iwhile [i < people]0 d" k4 X  Y! \3 a% Z0 q5 \2 A
[9 D/ _, V/ h+ S  R, a( k, b
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
% w  s3 h, k  J$ rset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))7 Y! O  W5 Z: w
set i (i + 1)
# g( Y* N, y) W]8 s! {1 e2 d, {3 z4 B
let k 04 Y, R6 ?1 D& x& O/ O( s1 P- d! I
let new1 0
6 s( r, V+ x/ {& b- g' zwhile [k < people]
0 p6 o3 D8 Y$ M5 [% p; {/ b6 y[  G$ {! o' w, h
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)
' z0 h* H% Z* _" K2 `/ Hset k (k + 1)9 }/ A7 J0 M* L1 |8 Y; J5 S) I9 n
]
8 j. e5 }8 Y; a- Yset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& ~1 s6 p( @* l. A- j. ^set global-reputation-list (replace-item j global-reputation-list new)
, T1 r: l' u/ l7 v: O- ^+ [set j (j + 1), t4 C& S2 z1 f5 ~/ B
]: @& t  o2 ^. t+ b5 f& s2 L
end, H% @/ k# k( o4 V7 q( a
2 o. |9 Q" S% p8 j8 ~/ F
7 C2 y2 G  {# ?7 y# O1 p7 M( D$ C
1 ?* }( Y. B! Y9 U
to get-color  F4 \6 v5 p3 h

+ t1 E  }3 \( M* }5 u) i- Z& Xset color blue

6 W* F8 S9 i7 q' _) g4 @' nend
  q3 Z5 A1 ~6 _
" W# |  t4 f8 [3 Wto poll-class
; d& p9 [, ~" |& tend& B) i# b8 ]+ L4 {' ^! h/ k
. T3 _& d: Z8 z0 t( P
to setup-plot1
! O; _# `. L$ U3 K1 d3 D9 J: O' R' G4 {7 Z' L2 F3 [
set-current-plot "Trends-of-Local-reputation"

# {3 J8 }1 \' j( t+ A
' \) ~, e6 e3 W4 k1 Y) P0 Nset-plot-x-range 0 xmax
2 N- o/ _! R6 ^% H: t7 |
, K9 B$ f( }# d$ A5 P3 I/ S4 z9 B) ~
set-plot-y-range 0.0 ymax
$ `* z. F" D, p
end2 _. E% K, v% s8 Q
, L; `0 h% V4 A" x; c$ @
to setup-plot28 w6 A* n0 K9 X" A6 Z9 T

  a' k) ~9 z! g+ Cset-current-plot "Trends-of-global-reputation"
5 S1 B$ U+ ~7 u5 ?

9 Q- J7 B9 N" v4 T* Dset-plot-x-range 0 xmax
0 s1 t" O- X) H; ?( w, g7 ^

+ _7 Y& \: @6 v( |9 Vset-plot-y-range 0.0 ymax

# p& ?: N" C5 [! ]end+ s0 f: v( _5 |& _) f; W! ^
0 Y/ P* f8 T8 B& M6 M- }$ m
to setup-plot3# f* [/ W; L3 e/ z5 \5 l. V

' @8 s: Z# n) w% B/ W6 S2 ?. Pset-current-plot "Trends-of-credibility"
( U) Y: W; f, v( V
/ A- G# T: s- c
set-plot-x-range 0 xmax

& }6 C0 }5 q* ]+ T+ B5 Y' y
; U- ^- ]+ E3 \7 o; |$ Q' @set-plot-y-range 0.0 ymax
/ ~9 z, i4 y' @  v  b
end
/ h' A0 d' B4 b7 d7 T  E: U. ?$ Q" `7 k; a! S
to do-plots
4 h6 h  O7 R" i/ sset-current-plot "Trends-of-Local-reputation"6 G9 ~7 ]/ t8 O3 {8 g
set-current-plot-pen "Honest service"
8 b; ^1 L: M! K9 n3 |  ?5 n3 K7 Tend
8 ^& W" `* @+ L3 I0 a- }/ u5 H: s( K9 I' T$ S  N- z
[ 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.
, b  x4 y% \# Y
# q9 H' q, v7 y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, 2026-9-4 23:55 , Processed in 0.019920 second(s), 17 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表