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: 14750|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:
' u- Q) _2 i& F" ~) \to do-business % `8 b5 |7 O4 E5 y
rt random 360: B% ~& x/ M( M" B* s% @
fd 1$ E8 Y9 F) B- F9 A3 R
ifelse(other turtles-here != nobody)[3 w# E# ^1 ]6 c8 k  D- G
   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.
! }; ~/ [9 f* J. h* A% i; V% c   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    3 h- W2 X( a0 j4 B
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer7 j! L4 ]6 S* k
   set [trade-record-one-len] of self length [trade-record-one] of self
# l- ^4 u/ l! z; w% a+ d: @$ Y2 r   set trade-record-current( list (timer) (random money-upper-limit))' Y8 e0 t9 v- R

" c: S1 F7 h5 [1 J  x问题的提示如下:
" w" J: n6 u( y0 M3 S/ U0 A3 r
- \. g  S5 @: o' |. [/ ]error while turtle 50 running OF in procedure DO-BUSINESS
6 r# G1 g, f, c" p! ?  called by procedure GO4 y1 b. K" i# w; M3 v
OF expected input to be a turtle agentset or turtle but got NOBODY instead.
/ m. J  A- ?# b9 p( ]) ~" R
(halted running of go)
$ R7 a0 j$ @- o/ x4 N% m: R5 t" x4 e; F9 ?
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~~$ ^. E. O& t' \0 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+ k: }! p. n8 H5 R0 L; z
globals[
0 @& X! r' Z4 p" bxmax
' p9 M& `. l( r! ~# E$ p& Nymax4 k2 ^% u9 N; U" T/ g: y1 h& v: ?
global-reputation-list
( @! |8 S% L! g# S9 {7 _; i
3 v6 n' u; H- L" e. U;;
每一个turtle的全局声誉都存在此LIST
5 H% J( z" I' w3 B" ]! k& E, ycredibility-list; o9 o( H) y9 X, Q5 y
;;
每一个turtle的评价可信度
' r/ U9 Q+ p' y: J' @# Nhonest-service, G$ k3 _( v& C7 u- _
unhonest-service) k7 ~* O9 d% q1 N
oscillation
: N7 j+ R' y2 s' G! D) l" F2 `rand-dynamic
, D( D# o! h8 O]
: ]+ f. v, \6 {2 _! Q
. W6 v; T. i! iturtles-own[
7 y7 q! W: H. \/ b! L6 ~trade-record-all
. Q* k. E# K( I! d6 V) Z* R4 W1 v;;a list of lists,
trade-record-one组成- W2 v6 K: S- n4 q: j
trade-record-one
/ {. p1 ]& _. f;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
2 f+ w( M) U3 O% i6 v
3 n4 @9 `( U4 B  b+ ]4 `0 g( s;;[
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]]
/ I, D5 u7 M% gtrade-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]0 V2 B& l+ U+ r+ H  \! e, h
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list1 ^& h0 p& T5 Y, H. z6 I
neighbor-total& c- e: H" T6 q0 v' @
;;
记录该turtle的邻居节点的数目- {" Y; B/ Z& G" R) {
trade-time
* `' }+ y2 E' u9 n/ W- [( v- Z;;
当前发生交易的turtle的交易时间$ W3 R7 Q7 {9 |, C
appraise-give
% f0 F, l9 W  h;;
当前发生交易时给出的评价
& Q% Z8 W, k1 G2 f; Pappraise-receive: y. Z- w$ N  }5 p" I3 y5 B
;;
当前发生交易时收到的评价* D! \# I  w% d- H8 Z  |9 O
appraise-time
' R# X- y4 o; b  j# ~+ [;;
当前发生交易时的评价时间" Y4 S! ]+ z# j$ a
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
9 T* H# g; z8 t/ j& d( ztrade-times-total
* J! h8 J5 T9 q;;
与当前turtle的交易总次数8 X- _  v; U- v' N. D" q6 r0 J/ F, j
trade-money-total
# X) V' m* v( V6 u; _) I;;
与当前turtle的交易总金额$ s% ?  o7 g' R# v/ C
local-reputation6 }* B3 P% z2 B. G
global-reputation' K" y7 B+ h4 Q6 f
credibility
* ?) N' F3 |! }4 K! o;;
评价可信度,每次交易后都需要更新
1 z  u! d5 K$ }. V5 O$ W; T8 }4 n+ ^  }credibility-all
" ~8 A. v6 G& [3 p- T, W;;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
0 o1 |! G, l1 u3 p3 d' l' p6 C; \. k# t8 c
;;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/ ^& V5 K* |" S- L- M
credibility-one
: C0 n2 _: b1 w) T7 }" P2 g6 n) A;;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
8 T3 y0 v* J5 a  u4 L' e2 fglobal-proportion0 W6 P2 w+ t( F+ q. j( n' ^
customer
  m1 s: r# N& k. M) B& Ocustomer-no7 Y$ W0 ^) S# f5 b1 B7 G  Q
trust-ok
8 `- O4 C* T$ Q1 Strade-record-one-len;;trade-record-one的长度
" e1 K* F( }) |0 G" o9 Y]
6 P$ Y( a0 W/ M2 A4 N! p- ], g, b  K
0 M% a. ^8 a9 J( G$ w! Z. G;;setup procedure2 z8 ]6 q  h( v( E$ d/ r- ~
# [# n% l2 d4 Q5 M7 g  ^) N5 a
to setup
  L* ~/ x2 p/ C  R3 d4 |
: W- q- x, z0 i. U3 r  U( Z% X" |ca

3 n- \3 O& Q; Q
, U. t3 L5 k% _  b& Y: Pinitialize-settings

; u  F: Z: _/ j  _/ R% U! m& l* \; e8 ]( n5 j. V) z$ Q$ p) n
crt people [setup-turtles]

9 _1 s7 ]- r# E9 V/ H# B) U6 U# f3 s. Z
reset-timer
8 c! F! V) p& Y: q0 T% R

  Y% u. ~0 ^8 g  Wpoll-class
; S+ e. y/ F3 O8 d- u% p

3 I$ s" U8 `7 d  msetup-plots
" a" c* s( \0 N% U8 b

! ~$ M/ ^+ Z% Pdo-plots
3 y0 m+ i  u9 F1 h( s1 g# }4 X
end
6 p6 e* X' H; O5 C, B$ o+ Y7 t$ x0 b1 H+ t+ x2 X
to initialize-settings9 q- g, l" n) L( y1 y2 z

/ o* d# Q0 e) @( ]set global-reputation-list []

* m* i* M  P6 a9 V; s( Y
2 W# v+ b! U0 O* V6 Wset credibility-list n-values people [0.5]
# W. I5 e2 U* L/ n. V, H

7 j8 e+ _$ b/ c! i9 j1 F9 J+ vset honest-service 0

& h  R! F) L# p6 _' z5 i2 ]6 B6 t" G% ~2 u. l( m/ I
set unhonest-service 0
  ~' y  ^3 c8 \* \
7 b! d2 M( J4 |& ?
set oscillation 0
# ~  e+ k: ]' |# I9 y% Q2 `

9 |4 S7 [' E) ~) {5 F6 [set rand-dynamic 0
" A. y6 ?+ L& H# J4 M) h  x! j
end  R3 ]7 O; ^1 a7 {

% `2 R; C0 W5 Z# S, K& _" gto setup-turtles
1 d) I; s- V' E; D  v, @* I" _set shape "person"2 [/ y& O* Q8 `5 s2 C: h
setxy random-xcor random-ycor
2 O; D. U3 W9 P  ~7 ?+ c- v- P. G  Sset trade-record-one []
$ k2 _: f3 c+ z0 m. w* H: o# {

( R% I, B$ i( [& @set trade-record-all n-values people [(list (? + 1) 0 0)]
# D/ B  [1 O4 S4 k/ O$ C0 P

. ?  j/ g  Y7 O& g* W9 iset trade-record-current []  V# _8 K2 `+ ~( M. j9 n( w
set credibility-receive []
. [. O% y$ c2 g; j6 [2 ]set local-reputation 0.5" H, D/ t) L, B( J* A% q9 ^
set neighbor-total 0
% b5 m4 \& I' y: c# jset trade-times-total 0
% T9 B5 H. m" |$ R+ F: rset trade-money-total 0
' r4 A. M2 X# zset customer nobody( ]$ [! M2 }0 y2 }6 T. g7 V: b1 ]8 M
set credibility-all n-values people [creat-credibility]$ ]+ Y7 y6 V, f: R4 U
set credibility n-values people [-1]
- R/ U4 z! H0 f6 d+ u) p, @get-color
+ y& y( M$ i" W7 y- V

) X+ Q* N" Z5 x* U* Tend6 D: \. h  B2 g5 ]

9 v/ W& x1 L# A( V. Ito-report creat-credibility. L0 l# p! M( @) ]% B. P3 ^
report n-values people [0.5]
8 n0 \* A4 g* F7 @4 m6 Cend. `8 M9 V, L* i7 @" }$ b( n
7 A: Y& L2 Z; [' k5 k6 j8 ]2 t
to setup-plots
3 }, L* z4 Z, G/ |
" U( ^# s9 g, C4 i* |, Iset xmax 30
" W& V2 I: @. z/ ]1 W

* R: g# Y& w# N- u; Hset ymax 1.0
+ r! W  I  l4 y; k& r' F

& f( m3 `# b0 Z6 H2 G" o2 F1 @$ vclear-all-plots

3 ^' ^3 c- P% l- `, _2 r- N
/ ^1 B* t% L+ x" z$ ?setup-plot1
: T5 o- N, G+ i5 j' i7 C
6 `9 K! j  {7 E$ U" f6 o7 ?+ F& T
setup-plot2

. l' I8 x4 w. c4 `3 W9 X* V2 v+ W- r1 t; j3 j" {
setup-plot3
- p% j  M* `1 e: V* ]
end0 R4 T( F! |- g
( |7 u5 v2 P6 T
;;run time procedures+ T  H! h8 n. {0 ]

* v- V$ p& k+ A2 U* j" X9 A- D9 ?, uto go+ W1 n( W% h, o3 p0 \8 Y  d
  ]* C1 i9 g4 v1 u0 ~  C
ask turtles [do-business]
& M( l8 _/ s/ g
end
3 v# b9 @2 _9 v8 L' _( j" J7 b3 @( {1 d+ B  O
to do-business
: {  ?8 T3 @' ^  F# j' A# J3 `

) Q: c  n$ @( _; E7 q! `6 Z  \+ v5 P) I6 @6 l; j& b: j
rt random 360

+ d- @; g3 J7 T8 F' H' s! \  R5 J/ G( J- t/ i
fd 1

3 n+ }0 D5 S9 w+ T8 D& T; {/ C# |4 l& y6 O- p# U& m5 N, c
ifelse(other turtles-here != nobody)[
1 F: c5 B$ D5 `+ f" ^# S- t
1 Z4 J  ~( c' r: D# u
set customer one-of other turtles-here
, `+ x) t" J) |8 ?9 n$ Z

# ~) `/ L" C, [0 @2 M: F, C;; set [customer] of customer myself

; O+ K8 X: e7 X+ F6 I% N; ]# ^
( J9 h3 b# e* [" [5 Rset [trade-record-one] of self item (([who] of customer) - 1)2 C: i, e2 p" M( i6 l) ~3 y' m) q
[trade-record-all]of self9 ]7 P2 I4 d7 T; k1 Z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self

5 M1 i1 k9 Q, M9 x, M/ ?; i% z" i  R1 R3 O
set [trade-record-one] of customer item (([who] of self) - 1)$ v1 u, _* [; Z
[trade-record-all]of customer

3 R6 s, v  E. f9 R+ `; Y! \4 A. \8 i% F( M: d0 z% Z
set [trade-record-one-len] of self length [trade-record-one] of self

1 J1 H5 R) ~( I- h* E3 U7 r, b7 f+ O& n: x" j# W( x1 a9 x
set trade-record-current( list (timer) (random money-upper-limit))
: [% E1 j3 C1 _- k9 U
$ [5 \0 o8 y8 u0 }5 o
ask self [do-trust]1 S6 x  F; T8 Q& f* U0 S) k
;;
先求ij的信任度
4 g/ Z+ F+ ?( q
/ u/ E6 G1 {1 @if ([trust-ok] of self)
7 C! z8 W5 z& ^;;
根据ij的信任度来决定是否与j进行交易[5 S# q8 h2 V5 X9 N% ?
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
& W/ s% u. _. Z* r! X) L0 T$ A* o
! q5 {: W7 F8 Y$ v! R[

" F; {9 h) H  B7 ]& C, i# ^% a( V9 T- R5 r
do-trade

- t: E9 ~" c5 T/ V4 f' ]! C" |" S7 Q; D1 w9 l* j: y( G
update-credibility-ijl
. |* Y( j: l/ \4 q
! P! `$ P/ S; w- Y2 S+ G
update-credibility-list
- i+ U# T2 v  |

. n+ H' I9 X1 U* j3 ]# U$ h0 [% W3 [8 E) k
update-global-reputation-list
! N+ ?; K8 c# P( r+ H( k
- o3 r& m% ]' n7 D
poll-class

# O6 L# }, T( M9 Q' X* I; K+ U. X# N0 n; r/ J2 a) o+ M$ N
get-color

: R- Z& x0 q& A7 G5 |2 p
) t) o4 P% N6 H]]
1 W# x9 w" J% R. L3 F
0 q6 P+ Z% Z& s4 L$ |. ~;;
如果所得的信任度满足条件,则进行交易- O+ `: X" A( ~* Y6 ]& e$ H7 V

6 t6 B; |: o1 H; U5 M. ][

2 Y. @# `$ W* D, L# h
, P  C( u8 g8 _" C0 Urt random 360

; E+ }: Z% t+ i& Z3 ?- s# D5 Z* @
5 S3 F) t$ J) N1 O9 ]fd 1
+ b' f6 T2 e& N  c' {
: Z$ d( s' g5 R, U/ a. \
]

* |3 T# M% w+ Z3 _. ~( Z' e
5 [+ C1 N6 b9 iend
+ C4 F- E; X! P' P) H, r! B
- {, s  q; y1 w
to do-trust
  Q7 o( J0 _" t- ]9 X* }8 Zset trust-ok False
& H& G8 k! h$ C/ U, S; T2 L. _5 {9 @5 r# w1 Q9 V) P' N
9 X3 g) k! V, a8 j7 a5 c: P( r% p
let max-trade-times 0/ x4 e3 z" Q$ x; n, d$ F) G- @
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% b/ S* n* n; o4 s3 M
let max-trade-money 0
# e* R5 P8 ]5 h7 c" rforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]- P  E0 ]% g$ E) f7 g
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))# V) Y/ ~4 I' L; ?; Y) ?1 ?

. t- b( {. _1 v7 a

* M$ b( I4 J( I! ]3 f4 qget-global-proportion
" T7 R* f" D4 [7 Q9 S) [let trust-value3 J) _6 ~/ I* z" j, s+ I
local-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 Q: M! @, w+ f! xif(trust-value > trade-trust-value)+ X) \1 D3 L$ U8 v# Z
[set trust-ok true]
3 h* l; O7 X0 oend
' j$ p& J3 g: I- S
' i1 J" e$ i. g/ C( X+ c) Q+ sto get-global-proportion
9 j/ U3 j' y2 B. D( Iifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3); Q+ b' [: E* ?2 K6 k
[set global-proportion 0]
+ Q8 f* Z% X/ o% F/ @' K[let i 0
4 L, c1 u. S! d2 ]( G7 nlet sum-money 0
3 W6 g4 a- {% d$ O+ d! Rwhile[ i < people]0 ?0 g- z5 k" `) n: y4 n& [
[7 E( z; |- V* d
if( length (item i
* E+ s  _7 O$ a$ A4 r1 r7 X8 r$ v/ _[trade-record-all] of customer) > 3 )

3 j: ~$ J; ]- G% N* _: Y7 x4 G7 t) c[
& o+ Z8 x2 J. l3 J. M5 t- U- z) Gset sum-money (sum-money + item 2(item i [trade-record-all] of myself))5 ^9 e# t# z' O1 E$ y' N4 {% u
]) |' V9 R7 A. z; ~; b) \1 y( [6 M
]
7 ^! u% m& k; L9 [3 }let j 0
) T0 t/ s" r% p  z4 A- Plet note 0
/ |4 l6 A4 z' Z) z7 _. p6 M6 R2 }6 Cwhile[ j < people]1 c- g/ W- E4 N
[- I( N7 {& k7 E
if( length (item i4 a( P- |% V" H- i
[trade-record-all] of customer) > 3 )

1 T4 f4 K1 m# W5 z' c$ Q[/ m" r* h' D- Y; L. N: f, Z
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1). Q$ y+ k+ I# x1 V9 ^
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
$ v! {7 B6 w9 k$ k/ O/ L4 [  f9 F[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
; X  S! q/ i6 b! E4 e8 U) b5 O: `]
/ t# G/ {9 R' {% |* y6 y/ L]
% ]1 U' ?9 e" t5 o  L* [' jset global-proportion note
& e4 e0 a! |! x) r( ]* \7 m- ]]( F5 k' E- |; ^% A4 I. K" Y
end; b( I; Q: b6 h3 l4 @8 C
; S9 ~8 B! X% T, v- v' M
to do-trade
0 M8 {% ]/ c7 u2 s: w5 D* ~;;
这个过程实际上是给双方作出评价的过程
2 ]1 s9 O, Y4 V/ A" T6 pset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价6 i% E+ G3 V  i, `6 ^" p5 t
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
6 E2 W" P7 L, v( l; F  n' N, ]; gset trade-record-current lput(timer) trade-record-current
' |) h' l0 a' i;;
评价时间- d  ?/ k: ?3 t3 k
ask myself [
  J* ^2 A& w6 W9 c4 q% C4 X: A; Mupdate-local-reputation
& t% x. y# n/ N! T/ Cset trade-record-current lput([local-reputation] of myself) trade-record-current
2 P9 C8 }' Y" H0 S+ q/ y% ^+ h]. }2 k. k3 A* C8 N# v
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
( _% C+ q" [) ^$ i% _;;
将此次交易的记录加入到trade-record-one
3 B/ v! W# o/ ?" v) K: f: Pset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)0 D( \  [# w" q  j4 z7 N& Y
let note (item 2 trade-record-current )* [" y# \8 g! j* q
set trade-record-current
8 O! y: O  Z. l2 o. Z, c: E2 }* g(replace-item 2 trade-record-current (item 3 trade-record-current))
. ]* ^" s' y% R' B
set trade-record-current
  `8 [# v; Z+ n4 Z! L# J(replace-item 3 trade-record-current note)
5 q4 C: q, {! G8 Z; S; i
+ ]; k8 q8 r7 r  I4 s/ f* K

) n. y- c, N8 K0 l' x& D3 F% R( Fask customer [! \( P1 v, b% A/ o1 k
update-local-reputation/ }" r! r2 f! A; [7 r3 |
set trade-record-current
0 e2 z5 a- S) J  L; o( v(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

# }* f5 U: s& f]( q6 B1 [3 q2 z, \4 t' V# o

  n# ]2 A, p) S# v& N/ O$ z) p
5 P% l# q" X, Y
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer: L. O5 |3 ]# V# Y( O
  |4 c' l' v) j( ], V7 I' _8 f
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
9 }: ^3 t) y2 @0 E1 E;;
将此次交易的记录加入到customertrade-record-all" S% [! }" x- |# ~
end
" }4 M4 r9 ~1 Y3 h
+ m7 B1 u% F, G  Y( }to update-local-reputation
1 c* @* ^5 N, f, }set [trade-record-one-len] of myself length [trade-record-one] of myself3 P: f: @7 H3 q% m3 T

0 B( O  Y7 p) A# a  X# R' k( c* v( x1 Y7 V" y  p5 [
;;if [trade-record-one-len] of myself > 3

9 U* h! @$ n) N' rupdate-neighbor-total% Z) w% ^& ?# `* F8 ~6 s
;;
更新邻居节点的数目,在此进行
2 I8 f! C, S( x" |+ b$ k3 ?) j' p8 Alet i 3; I. Z- ^' `) H. f
let sum-time 0; }/ I9 e! f$ z/ I, P/ v% a" j, V
while[i < [trade-record-one-len] of myself]
1 [0 W$ S' q/ \[0 g5 ?* f: L! F
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )  T, ~! s* Y" u" d% X
set i
0 g* x2 _" G3 u1 q* L: ]" t7 Z* |0 Z( i + 1)
4 a. O1 P5 c8 ?7 k
]
, W* f* e- O8 r* H( Glet j 3
- |( ]) g8 H" P" p4 O# n# glet sum-money 0
1 F! f0 K8 Y: j6 ]% Uwhile[j < [trade-record-one-len] of myself]% j& A% ~: K: u* Q) t
[# d8 O/ L3 _* Q; `$ j
set sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
3 B. U  k! b, w6 [: y7 U' Yset j
3 D) h  v( F; S4 h" F( d  j5 p( j + 1)

  b$ d/ I9 ]$ t# F. w8 j& m1 ^  n( W]
3 [6 Y' _9 ?( xlet k 3
: i3 i7 h& H; X1 {let power 0
5 J2 W' B. b* p$ l& U! N/ nlet local 0/ y+ g  R& d" ~9 H# l
while [k <[trade-record-one-len] of myself]
+ `$ m6 R7 u* X4 Z/ I" M% K[
3 S. c; s2 i8 v3 w9 Kset 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) * D3 l; r# d( V! L
set k (k + 1)
! U4 ^8 m# ~% F3 P! y, R]
+ D  V% s) \6 Q- mset [local-reputation] of myself (local)
5 \" B; o( V- A( i$ Pend
$ z1 Z; n  _+ X  B. C( R
. L! @/ O9 h9 F% Y8 @to update-neighbor-total
% v% O; K) f8 X! @' y9 {% w: x# J
5 F5 R7 T( p7 k' @4 T2 yif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]: n* Y; U/ E% H# k: V& L5 {% o& j

$ I; o) H& g7 b1 C, [6 y0 ?" D- a
. t% g% n* K5 u
end1 d1 ~  q0 J4 q0 Y$ I7 g
' C* ?3 p% `) t+ g7 V1 y
to update-credibility-ijl   [4 Z+ v0 O5 U
" |' S, S  m. @4 B4 }( x' q: 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。( d' K% K% ^% }$ }& @2 u0 F
let l 0
# }3 B. Y) j4 O" i: ywhile[ l < people ]8 [8 c& L1 j& k4 o! W
;;
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
# \0 P9 L1 h& L4 A) K9 Y[
; R7 u. o: K4 {6 ~5 Hlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)4 q2 P: t! D: N' ^) x0 d
if (trade-record-one-j-l-len > 3)/ _0 j' \; A/ x9 C2 M, U
[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-one
5 Q! N3 T# }5 a. Q5 \& q" \: i5 rlet i 3
1 Z0 L6 z3 d) ~. ?7 f* ulet sum-time 0
# q3 m  |* t1 e) M, o1 h8 d; Owhile[i < trade-record-one-len]7 }$ |3 `2 l9 @/ [5 A* Y
[- {) {: r- e7 e2 O: ]+ r6 i9 i
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ): H" n2 F7 e( |  w4 G, X! x3 f% N. u
set i2 a- W7 U# E0 d' X+ v+ ]/ m; \
( i + 1)

, c/ r. G% X2 b. w% N]
6 T# R7 i  o" Z0 ]let credibility-i-j-l 0
! T! x$ F: O  B;;i
评价(jjl的评价)4 [' h6 g8 h* K9 B/ i9 |; l
let j 35 ]- s' X# O, c$ y% ?
let k 4
' Q+ I. Q, g7 g1 l( |$ Y4 Fwhile[j < trade-record-one-len]+ D7 H+ S6 ^. ?0 Y
[
: N0 x' L/ |$ q$ D7 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, o& S5 I& [! ^/ H2 e8 b6 g, M
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)  ], f. `3 {5 S( f0 T% x
set j
* B, B/ A3 Y7 O/ i0 P( j + 1)

" w" t  f6 D1 o- t5 |]
5 x  F0 A) ?; tset [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 ))
; g8 A7 X4 Y1 A
2 f5 F* R/ ]0 a
2 X; h' s. h% r! M
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
6 l: W) m+ r% D7 J;;
及时更新il的评价质量的评价8 K* g& E7 Z6 W+ Q
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
+ f$ i4 z/ P3 j2 T" y" Tset l (l + 1)$ C+ @! z+ T( X4 i6 P3 b: n
]
- {/ z1 }# U; H# rend+ g) D, c# ^& L; T" M0 r" L2 A' g& m

- Y8 s; x5 j: ^1 A( E5 s8 ?: mto update-credibility-list0 |- S: w3 R6 Y' \8 J
let i 0
/ W* B, t  t7 P3 D* V( ~; W3 K7 wwhile[i < people]  G( W: o4 e' ?& }  j
[
) v" e! a5 `) X. `  |+ ~; S/ ~let j 04 v' L! ^" {% f
let note 0
- e7 h% S4 a7 S: O# h& e2 j6 Plet k 0& q2 a* ~! r7 W; }* h3 Y; f! b
;;
计作出过评价的邻居节点的数目
. }1 H( \! s! o2 X8 Z, I8 q% Twhile[j < people]- X* l( @" f; J3 V1 n
[
9 t+ d  g- h+ w  E* b; [if (item j( [credibility] of turtle (i + 1)) != -1)1 |; l  a, H" T; n& V+ I
;;
判断是否给本turtle的评价质量做出过评价的节点: Y" e% t6 j! e& h' T  R/ D
[set note (note + item j ([credibility]of turtle (i + 1)))
$ [* M5 q; q0 g;;*(exp (-(people - 2)))/(people - 2))]

3 c& @! e0 u9 {1 fset k (k + 1)
# Z5 S/ [8 R9 B. a9 ?9 E]' `/ Z/ I, l. Q. Y( f) B
set j (j + 1)
3 k+ ?+ `: V0 P1 z]4 n% o: r; m% c2 a' e! Y
set note (note *(exp (- (1 / k)))/ k)1 S6 x1 D1 u. ~7 r$ h! l4 J: k- v
set credibility-list (replace-item i credibility-list note)
# q" V- h9 w8 Q+ ?  Fset i (i + 1)/ j# ?! x7 K- z! D( ^2 K2 y
]
9 ~/ m" r0 I% g8 [, n1 Gend* g/ Z% a; `  r8 d+ j- E

  p3 N- P& x. i( Yto update-global-reputation-list
* @% \7 z* \, r: K* J  [* @let j 0
- \6 P% I0 h' ]while[j < people]
! v! ?; j3 o" `9 [# A[+ S5 p  y  i& }
let new 0
5 `' p$ s; ?4 O/ `;;
暂存新的一个全局声誉
5 p% B) I, M9 \" klet i 0: ^2 {4 S6 |, y4 E# u
let sum-money 03 ]& n. U" X$ A% E$ ~1 D$ V
let credibility-money 0
) X* h  R" ^9 T6 e3 ywhile [i < people]
" s, x" `7 a! Y  t3 B; ?[5 V5 T% }4 Q/ h1 H8 ?; `3 w, i! a7 O
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
5 C, B+ [4 _. @/ |* ^% I& Q. Nset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))3 t+ I4 E# E/ C7 p+ j9 \* q
set i (i + 1)+ n4 J1 g. v! ~; r( F2 }
]+ M% l/ F5 Y2 h2 n( N
let k 0, B/ u: b. S- Q, _7 \! \6 s
let new1 00 U. A; b/ c. w3 H
while [k < people]
& ^0 F8 h3 h7 _, g( b) y, c9 o/ B[$ D# [. O) L  C' F# @; O
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)! h, f* o9 R+ v$ K  }! _
set k (k + 1)% s, G% l. {9 y& O' x3 R" ~
]
1 D$ @. Q' V5 H# l( Gset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) # Y) Q7 [4 o) |& ^$ g
set global-reputation-list (replace-item j global-reputation-list new)
: p8 J! Y( C2 U3 Oset j (j + 1)
  o, Z* e0 H( x' `" V4 P: U  D]
5 L2 ^9 ^; B0 |7 d$ Dend: T# Q3 Q. |# S% L; d: H  y
$ u, c- b0 F0 _
2 y- o6 H, b( j8 C* j1 w

2 l, s, P$ M% n  rto get-color  n1 o; L% A- m3 Y6 ~
+ N" J* n9 F; F. T7 C
set color blue
$ g4 q% u/ \5 }% K8 B" p1 }
end4 z. |  r  c9 d0 d  J6 q& i
9 ~  w' V! T' C' N9 V/ ]$ P- A
to poll-class4 q: X( H& M7 O! [
end
7 F6 o9 v. e9 y, g" r
# d6 Z5 j) W+ K, y: ato setup-plot1
) z& G( u! K) \$ h2 G) l' O
$ \4 t1 \# I; h  y6 n! a- G. W* I) @set-current-plot "Trends-of-Local-reputation"
4 c0 g, Y9 ]; p7 `! p; ^  d8 A6 r

: Q' f$ J  Y9 J* R( {' o7 V* {set-plot-x-range 0 xmax

0 a1 p' Q+ V" k$ D# S/ l: v$ f4 A6 M0 Z  ?# G
set-plot-y-range 0.0 ymax

' S8 M$ Y  {! n2 P/ S/ Lend; p2 M0 t3 u7 ^4 R- v4 Q& L
, [9 x: {; b# l) b
to setup-plot2; Q" B8 p, ~( K+ K5 s- Y

0 u, G7 R3 `: i6 ~# R4 Q! H/ [set-current-plot "Trends-of-global-reputation"
! F( f8 b8 n9 T9 D# D

1 |7 ^+ L1 T0 B3 k/ q. R5 {set-plot-x-range 0 xmax

$ O6 N4 Y2 n& j* E! W1 s5 r8 q1 ^1 C6 Z& j: X5 f* O
set-plot-y-range 0.0 ymax
8 t2 b$ y1 ^9 e0 ~5 [
end
" ~. ?8 Z/ c1 `3 g$ C, g3 H) I. T) x# Z# w
to setup-plot3
9 d0 F( I2 \8 Y4 l: k
$ ~0 R; p" z7 i0 h! y: eset-current-plot "Trends-of-credibility"

2 V. F; }! |0 v9 [0 f9 N3 Q$ N; L8 l' q8 Y6 \* d  y
set-plot-x-range 0 xmax

& q+ c) A% C( W5 ~0 c
3 b3 \3 U: E( [% N+ l8 V, ?set-plot-y-range 0.0 ymax

- X9 K( Z+ f3 `: Cend: x. [& L9 O8 ~2 g2 K; ^, r7 y5 F
. d& W1 F( m& |; a$ E0 u0 F
to do-plots
: Q: j$ m- c+ \6 Q4 C# i1 vset-current-plot "Trends-of-Local-reputation"
+ G3 m- {" U/ G4 C  I+ m8 N+ J- bset-current-plot-pen "Honest service"
  X% D" ~  V  B8 A+ jend
6 \" K& n# ]7 s$ _* [3 M4 }; p, o  u3 K0 F% f
[ 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., q9 O% ^+ k6 S- B/ I- B" M
2 G) F8 R! U3 n  b- W2 O
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, 2026-5-19 14:07 , Processed in 0.021651 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