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: 12386|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:! I0 H: j7 y  |! Z- ?( Y4 k+ q7 m8 c
to do-business . e; X  y& r9 T/ D/ _% ^8 C
rt random 360
) a" v7 i  r8 \  @  j! h" F  e1 m fd 12 y) H6 k8 p( Q! ~* k5 V
ifelse(other turtles-here != nobody)[
: Q1 E, Q: O+ z3 M% J9 \9 L   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.; B* J4 E# B5 @: M
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    $ [. J0 O/ r, n" K. ~. m
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer4 }+ W; W2 H  O$ u
   set [trade-record-one-len] of self length [trade-record-one] of self
2 u. K- U: m) @: Z4 m   set trade-record-current( list (timer) (random money-upper-limit))6 T$ M8 T- u% V7 K5 K

- p- C+ Z3 w% d7 X& j9 \, y问题的提示如下:1 q# \- f3 X1 o; Y2 [

. w# B% Y! G2 M+ a: Eerror while turtle 50 running OF in procedure DO-BUSINESS! ?$ _5 w3 V# p0 ]9 Q
  called by procedure GO
6 }/ P  W+ W# k+ {OF expected input to be a turtle agentset or turtle but got NOBODY instead.7 O5 j+ u$ b4 i$ \
(halted running of go)8 `' h& y& H  V$ `0 U9 r5 Y
! U/ q9 n4 z0 n/ `6 @
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~~. i0 k4 G" }* `3 F
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+ y2 ?) v: ]4 m+ m- a: ]
globals[
! r0 t' X  O8 Y- Sxmax. ]( C9 z4 \! `/ X
ymax
3 E- X& L* ^; hglobal-reputation-list
: V  K+ U% _( ?  U% D8 `$ ^. o/ k% L. r1 e4 z
;;
每一个turtle的全局声誉都存在此LIST
3 x0 E  I0 R0 |9 X1 Ecredibility-list
: e9 _% T9 u  n' F0 |;;
每一个turtle的评价可信度- ?, y' |7 X$ `: s
honest-service9 `1 ?4 g! ~0 A1 v% Z/ s' |
unhonest-service
9 D" Y- o) J- J- e: r% X- `oscillation! ]+ I8 u( ~6 n0 D
rand-dynamic) O0 N$ o1 K& A  d3 S; E
]7 R/ a' v$ C6 [' \
- X# k+ O1 m. R; R7 m6 l" f
turtles-own[
7 @8 Y5 ^; H8 P" y. A: {$ G- f4 ptrade-record-all
' a& E# }) W$ e1 z& O: `' Z;;a list of lists,
trade-record-one组成
2 J& u( L4 D. Y. x" x6 Ttrade-record-one
2 d9 }! i! T  }, ^;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
- k0 ^. J9 l5 E2 c4 R, o$ u& j+ L' \. i% _6 e$ t2 j% Y! G& N$ k0 x- W
;;[
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]]$ C2 G2 ]; [5 N% O% r6 ~
trade-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]$ v# U5 R" K" W+ z' P: e- I& S
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/ w, J9 l$ R) h
neighbor-total, M! M0 Y# M8 N4 t2 P' U/ k# E
;;
记录该turtle的邻居节点的数目
8 O% j7 A1 J" [" P3 V% x& `8 [6 Qtrade-time
0 i2 k# t$ i& Y1 N" v* s: e;;
当前发生交易的turtle的交易时间
" v2 w  @) `+ r/ P3 k& a! T2 p2 |appraise-give( Q! P" s7 b# d+ y- k1 i$ \: K
;;
当前发生交易时给出的评价
" p* y7 ]7 i. H# p$ eappraise-receive" g* ?6 L6 B1 h: U( H" |. d
;;
当前发生交易时收到的评价
. x- T7 A) @  ]' M7 F2 `9 y) happraise-time
+ g5 @1 |* H7 s! E;;
当前发生交易时的评价时间
: A0 ^( k# J- N8 S3 E: M) zlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉2 C9 B' z" a/ r6 q$ C& _. x+ f5 C
trade-times-total) B# J- R: k7 Y; [- c
;;
与当前turtle的交易总次数( l1 {/ Z: F& V1 m! T% H
trade-money-total
3 l  i- K9 ^  T; I0 |6 L* p6 V;;
与当前turtle的交易总金额0 ?* |6 @7 ?: i+ F3 E
local-reputation
# y; p1 g: @+ G6 g$ sglobal-reputation- F3 G. E0 z6 }: U, H) b
credibility
3 k$ S# T! L% i2 G6 c) z! `' L;;
评价可信度,每次交易后都需要更新
% h6 c( N8 S( h9 }credibility-all
" y- @- g! \) ^! n4 a/ R3 O- d;;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* A5 e. P# a; P; ]. E! o; Q
! ]7 x7 D7 X; k5 A# S5 x5 p
;;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
$ D7 i* d5 p3 e& @credibility-one$ X5 {3 q; l. \8 m( I
;;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
1 g5 n' @' C8 Sglobal-proportion
/ U( m$ h( W% d1 G6 P7 Wcustomer. ?: {7 K& y( F2 \/ e9 f
customer-no
* x: m. S! b3 `( Ctrust-ok) ~2 s" f$ f& \4 F4 y% r% U8 }1 q
trade-record-one-len;;trade-record-one的长度. m' w# x9 B; ^! ~; ], q
]
& E2 k; z# O: P9 d8 T2 O+ C/ Z- L4 o; W% H- ^# S/ A
;;setup procedure6 Y/ V; u- x1 m

+ F: G* x+ _' C8 Y4 `& x( gto setup
8 i% g2 `4 r$ Q, V. f" h' B- `" @- _$ M
ca
0 H4 H8 H" T' j2 T/ n

; `) D% h2 T9 k5 m; m& n$ ~initialize-settings

8 D7 O3 g2 j% q
( i6 T. p% b' Wcrt people [setup-turtles]
$ d' ~. @1 t8 r6 H! [  z

5 q5 y8 b4 o; B  O' jreset-timer
  Q5 Q3 ^! y, F

& h# ]' j9 e; `5 W5 d9 W+ |9 P% ^poll-class
$ w# Q9 N* V/ G
5 Q0 n' B: ~) c: S
setup-plots
) w, n$ @' Q4 i/ r+ d& A

1 B5 \' d& n: }2 r" g/ S9 Rdo-plots

5 \. O: o" J$ ]& [4 Pend0 ~! r$ z. d8 p7 V, J) i
' ?, w. J5 T* G4 l+ ?  g6 p: W
to initialize-settings1 Y; W2 N: N, E6 E% }9 H

2 R' D- f1 d$ L! {. Kset global-reputation-list []
+ s4 B3 p8 }& r; b8 O2 H$ R  s/ Y7 I
# [6 \0 `3 O, m/ X
set credibility-list n-values people [0.5]
+ U, N" O2 T7 c6 l, e
- K  L" |( ~' W$ o& Z$ S! W! F
set honest-service 0

) r* \0 a" S2 b5 K+ h8 l9 Z/ a9 N" t  @4 Z) |" |
set unhonest-service 0

5 ^1 ~4 r+ C/ h9 w" {2 e, d* s; Z4 `% J3 k
set oscillation 0

# t  ~1 B' O! Z5 W" h- R  W" M- G& c6 T6 t0 U
set rand-dynamic 0
3 r" }. Z9 f- g( V9 Y' y" c. X/ B7 `
end+ C% u) p# @0 E' H' \
. h8 N6 c1 d) X3 |
to setup-turtles $ _! b1 c, h6 c( O5 ~  _: k+ j
set shape "person"
! u& _% @0 N$ d  e/ O- H; U& Esetxy random-xcor random-ycor& @' H5 u* B4 i3 l& f) x
set trade-record-one []. c7 v9 J5 u4 T% O! z# p
6 C6 H: p* I! ]* S! F# a2 F
set trade-record-all n-values people [(list (? + 1) 0 0)] * s5 U. T$ a: m5 ^( A

2 ?7 S" d- P. [$ iset trade-record-current []
" k! p, d% Z* B; m% c# B2 \' f( tset credibility-receive []* l) F% |1 L7 o. s: n* N
set local-reputation 0.51 N! m7 z0 @& E1 ^6 L, l
set neighbor-total 0! F' R/ H$ r! a+ w4 j' m
set trade-times-total 0
" Y  F7 M' f4 R6 C4 @/ Yset trade-money-total 0+ }6 V3 c) w$ U: B* p
set customer nobody! ~9 p: K$ S( z; ^8 a. L
set credibility-all n-values people [creat-credibility]' W( U; N$ h: s! z1 E
set credibility n-values people [-1]' w- f2 {0 K! W, x
get-color  s! G! C/ g/ ^1 O3 w/ h# L

$ H- p# {; O, e3 I) hend9 d2 h8 L, S+ s1 Q( R4 R& {
' P& L4 F' h$ w1 r( k  k5 u
to-report creat-credibility
+ ~) T$ q/ B+ @' a6 rreport n-values people [0.5]
! i" c2 G8 C( j# [( u5 n1 C5 t2 `1 I% nend
/ p' ^0 \; M. A$ P) F& u, h% E' w; D% J% g* c6 @9 {2 P
to setup-plots6 e! f3 W# G3 E6 y' r5 {2 s4 ~+ o
. M& I. G. g# ^  C' E
set xmax 30
0 U% K/ h  B0 `# d8 L, v& h! {& G  C

9 o2 v8 G/ q8 A. O, gset ymax 1.0
$ U5 ^: s$ ^/ ]! k; k% I/ o) q
: z( F' M: Q. o* V  g
clear-all-plots
1 g, x+ j/ f( O+ }) s8 i

9 n" k9 k6 G9 _$ b5 {. Tsetup-plot1

; F5 H  M. r+ q7 N8 o5 U3 [# r5 s( F
setup-plot2

- ^8 J4 A; Q/ ^& Y
) l+ z2 z8 F9 C. [setup-plot3

4 I+ i7 ~- Q/ g. u* Hend
% m! Z- l8 K8 X. Z5 l/ i2 P4 i- [; w( z6 Z. T# S! u: p3 ~5 {7 z; t
;;run time procedures9 ]1 x! c- d& _' `

; Y. l! B& E3 g* p1 R" q  uto go
; U- g# z* n2 L, p  ~: z! R. c( a+ E' k
ask turtles [do-business]
7 v0 `# R. z4 h
end' i$ M% C5 N7 d: n
8 N! t$ ~% f5 s! u
to do-business , S& _! E" ]' W: o/ c5 }
( p* _) f  L2 t. z+ {# ^
$ _& z2 w/ C2 [# w. ]0 k' c' r" N
rt random 360

$ u0 n' B' V3 X; R! D
+ y" q$ i5 E! h6 }8 Cfd 1
/ g" l& P6 }( N- z# F

# ~( [: a6 l/ V& r% s6 Z. oifelse(other turtles-here != nobody)[
! o" M, ~4 V' ^( U& ^
4 C, v, V& I: i  S  V% _( q
set customer one-of other turtles-here

' W. {% h9 {7 I. s$ P! t' a6 z7 n6 w2 B6 U4 H( r9 x) c& [
;; set [customer] of customer myself

# u3 E- L6 Q! L: H) J
- X" ~8 [9 r7 B% A3 W( Yset [trade-record-one] of self item (([who] of customer) - 1)
& O, [6 ~( [) t& @[trade-record-all]of self
! g- v* x1 L! ]8 m# O$ i;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
* W$ A* F4 O- y. M. M$ Z! e
4 D' D! s  g" d( ?& }
set [trade-record-one] of customer item (([who] of self) - 1)* k- H! K6 W2 h* q0 O4 |6 K: R
[trade-record-all]of customer
# P% u+ U: @7 N$ }) f
2 T/ |( X/ H0 T+ _# h9 F
set [trade-record-one-len] of self length [trade-record-one] of self

/ u. y  \  _) @& i  ^0 [
8 F' q3 U3 G( B$ sset trade-record-current( list (timer) (random money-upper-limit))
3 H( c2 h# V) R& E; x
0 b- ^# c7 W& Y1 _2 d+ w
ask self [do-trust]5 T& @" v0 }! O. m# A4 z8 c* W5 {- u
;;
先求ij的信任度3 A% ]" i1 S3 f. `, _

$ S' S1 S! `) gif ([trust-ok] of self); |. K& u4 F/ k4 z* ]
;;
根据ij的信任度来决定是否与j进行交易[. t# Z, x, j: b( h0 `
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
" |, q. c, o1 E! N7 {) U7 {4 I: G9 R1 B( z& ?
[
! ^0 f0 Z. d8 Q, {/ a) a! x" \4 Y
- F; H- S5 c5 `+ h+ o
do-trade

3 F9 x; K0 w/ k% l( k: n7 M6 l0 ~( V; ~% _7 `
update-credibility-ijl

0 D+ ^4 Q+ x3 _" a, U! `$ O" \* p1 q
+ z( t$ U7 ^0 G7 D+ q# wupdate-credibility-list' d" J9 s6 g" v, M( G5 `3 Q/ @
! T. ]/ c! q7 o; z% U2 k3 A

4 z+ z% T! x& Fupdate-global-reputation-list
3 e4 t: e. t" w3 E7 R* l

$ O! o* \5 g) ?- n1 x! P& O3 \poll-class

5 ?8 F/ N3 I0 M$ G  e, p3 a3 y
" Q9 x; S# @1 @7 s% {0 j, qget-color

0 D* L8 V) ^; W3 u! g2 L% ~+ w5 x8 @/ j
]]' W7 D9 o$ A0 J8 ?4 s9 b# t, i* i  d  J

0 M! p' E. ?' l0 @$ Q  t# x;;
如果所得的信任度满足条件,则进行交易
& g8 h, ~3 Z3 B3 t! ~1 e  @3 `/ b% D0 v% P
[
. u! Z* X7 ]' R- p) v- E3 m
! S) _' d' R8 B5 q0 D6 g9 ]9 R
rt random 360

& [3 n6 T- X% M% {
) e' r. F1 J4 f) {  f. e+ Ufd 1
; c0 H& I& g- B. C6 s* [

. T) z, G6 h4 U0 c: }# X* S: `]
$ S0 h" u% ~( G5 E" Z# V# q

1 t* t& [; H( t7 w* H( e' y. send
" {: L+ _+ L4 u' u" t! d
7 j# S. M8 N$ s
to do-trust 8 x( |8 |4 E6 h! M: m' n0 n
set trust-ok False
1 n0 {, H4 u- _3 D( j4 h0 b; v) ^+ y' y6 Z/ A& y6 O3 L

4 F9 X' X* T0 d& n, P- E9 }let max-trade-times 0
: U9 e, u  R1 O8 r: C: R1 vforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]- F: L) g, g4 R8 Q6 l/ W
let max-trade-money 04 n$ `: E1 T& f5 n7 p
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]9 }# b7 U: ?' l0 H0 i
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 C0 x; l4 l- Y( C% C! R
1 M5 D( w$ u3 L. t! n2 Z
; }% o1 h7 ~, a4 G( T
get-global-proportion5 m5 F+ E, K0 Q6 x* H& J  ]8 f
let trust-value( a+ L6 f6 P4 Q
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)

7 h; O1 ?  G, O. i1 J+ u/ Gif(trust-value > trade-trust-value)
+ j. `3 }1 _8 z; Z[set trust-ok true]
% D( T  J; d% H4 R0 P& G8 [' C* Lend, J; d: U; C* l, m. a
/ p+ R9 A4 N+ D
to get-global-proportion
0 @4 }) K( Q3 N" p: p/ {ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
2 S9 }5 U# m* l; ^, x; L[set global-proportion 0]2 t3 |: o5 U$ h2 Q5 w, u  G
[let i 03 r0 U& Q7 q+ |9 m% L0 E
let sum-money 0
7 G  ^; x3 m9 Z! a* Pwhile[ i < people]: s+ Z+ a$ ]) b: W' K
[
/ P1 O- y" |1 s$ xif( length (item i: q. ^) z& N- r1 D' C
[trade-record-all] of customer) > 3 )

( A5 c4 u( y' A2 J0 N6 Q- o[. z+ }  H0 F# _+ J
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
; C% t2 C( @$ L! H: W4 n& a1 ^]) y  [( c) ^( u! M( K0 d  I5 C2 I7 N
]3 P2 o- b9 ?4 B2 Q- R; Y- d- g. }
let j 0
( N; G( Q9 Y: a1 h. L& v& ulet note 07 j; w7 ~# h* Z- i7 }$ m
while[ j < people]0 R% `! U/ }/ ]3 i: {8 _
[: j' u! C6 A8 ]4 }* _7 V4 |
if( length (item i
" H# a. o$ @0 ]; [/ Y[trade-record-all] of customer) > 3 )

4 o3 I1 h# T" M7 ?* N, Q[
$ I& `% s' ?$ ?. f( F6 D) ~9 mifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)8 L7 Q) T7 A9 r8 `  R4 p* J
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
! T1 Z- ^0 t1 e4 T$ |[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
* G3 F+ B9 g) E' K' u3 S6 y& a& k]
" f  X. V5 J5 p]
- W% i7 K/ t/ ~+ B- }. E) l1 p6 `" T: zset global-proportion note
' o9 W) v- K, ]( m% I& @, J! Z# A- \2 X; {]
+ o1 _+ P7 d  D/ Nend( e3 b8 S3 j% j7 U/ Y1 r
. H8 a% f& X' I! [
to do-trade; b+ l% W6 J+ \- m& b- t2 {/ d
;;
这个过程实际上是给双方作出评价的过程
9 C0 [2 B/ z, B8 k, B7 W7 ^) Zset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
: s0 q8 O1 `* D5 N. L5 tset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
. n8 Q; [# [& `1 Kset trade-record-current lput(timer) trade-record-current+ t' {/ e+ Z5 X# N
;;
评价时间
4 y8 _2 F6 O& X" Vask myself [
/ k9 n/ f% Z$ C: Nupdate-local-reputation# Q: U2 t5 T8 v$ S% V
set trade-record-current lput([local-reputation] of myself) trade-record-current% ]) k% ]: O( g
]
# _; s2 L8 M0 k, ?set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
3 L4 Q  p% I$ b  X5 Y2 o7 v;;
将此次交易的记录加入到trade-record-one
  o; p) f: n2 \9 ]1 vset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)' \+ [5 Z% H; k! Z, Q: f
let note (item 2 trade-record-current )1 }1 }9 P# G  @9 h
set trade-record-current
$ o* y. t" N$ |- R" k& x(replace-item 2 trade-record-current (item 3 trade-record-current))
+ B" H- t9 q4 u8 d* N
set trade-record-current
. x5 i" L( m, v, B% B(replace-item 3 trade-record-current note)
; ?4 b$ `: M  l/ f
7 m# Q4 M* s; t, U( ?

- S1 _; E; k1 w2 Zask customer [
2 G1 c9 T( e: ]7 n8 Aupdate-local-reputation
+ `7 @) x5 l$ ^6 _0 nset trade-record-current0 E4 I) `: R$ w5 L5 A; m
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
7 o) D$ g% _1 Y* P: m, J! e
]
8 K- J0 U2 E; k. G. {0 Y1 Y+ d2 {- U. W8 x5 _. O( i/ L
! y5 i$ T( a+ M9 Y* }
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; p( P2 u- s, U/ g8 H3 s1 N

7 w2 T1 f. _2 @& Y/ o" jset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)): U2 g5 y: _4 o( O/ A( X
;;
将此次交易的记录加入到customertrade-record-all0 b/ h8 w; U9 U1 V
end
2 ^+ U  O! q4 C
- d& W5 H5 Q6 h7 jto update-local-reputation: T0 m( [( h" I7 d
set [trade-record-one-len] of myself length [trade-record-one] of myself
* W/ O. W' N$ z' }2 G" t8 D4 H$ B$ ]2 {8 U8 k8 R, t/ \

, b" p+ L8 u1 o5 O, X1 S;;if [trade-record-one-len] of myself > 3

1 D6 n7 s7 h0 V' b' U& rupdate-neighbor-total# E. X( S3 g; _. S7 `; `  u5 b! F7 ?6 A
;;
更新邻居节点的数目,在此进行
7 o" ?9 b; G- r) ilet i 3
! _. B2 Q( i+ P2 P; O% |3 Y7 Zlet sum-time 0
6 R9 ?# U" ?+ h  ~" A6 s' t+ lwhile[i < [trade-record-one-len] of myself]: b( g3 G; X8 m, @
[
2 n" F, f) K- f  S9 sset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )/ S- O& @* l. S; R1 B8 k. x' E
set i/ u" R1 x/ V' g$ X9 R5 ~/ R! `
( i + 1)

4 }/ f# }; ~' t/ o" C]) P' K' y2 o/ F9 A& u" Y
let j 36 I2 ^; F4 y: y' m" T( X' I% z6 s9 t
let sum-money 0! C$ x/ Z5 @, T9 U  t
while[j < [trade-record-one-len] of myself]6 S1 P  }9 q' a1 c* u! O- O
[& T2 k1 |) S) ?7 W% y
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)
4 u( e7 x. ]1 kset j
0 r2 A: A! n  L9 j9 s) }# O( j + 1)

) _) x7 I8 E* M0 ~. j+ l# K]4 ]$ c4 ^! m1 {7 f! ~$ F
let k 3
% r# B( T( ]; C, U7 ]let power 0
5 G& F: E& D/ slet local 0* O$ q/ b7 e& F" X# l0 z
while [k <[trade-record-one-len] of myself]; @. `7 z3 ?- q! }  A, ?: t
[8 v& f0 E$ B; s
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)
) Q4 H) L- l+ g7 Oset k (k + 1)
1 {4 F4 ~6 E0 a3 h) k]
9 J! s: t! f( H5 r( G6 sset [local-reputation] of myself (local)
1 d1 ^% u) y4 i/ p8 cend
6 d) @! u% i+ \0 n- N: B* H. v- \8 k- u8 U' u! W& p/ w
to update-neighbor-total
$ ^" w$ s! @' _$ q' P, ], O+ k0 D6 c3 N5 i: |
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]! s4 [# \& Z6 M6 i
& p6 ?4 @; N# I' K* [

' ?' c1 U7 R  v  uend
) w# S! Y2 ?; |5 ], J* Z
, K6 E* o( a- u& a' \to update-credibility-ijl
8 Y1 ~3 D% A- G# e
3 }$ v  Q' ~/ p) r. t;;
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。' e# l' l1 B. h! K+ j. a
let l 00 E1 n2 `. R. Y; n
while[ l < people ]7 M3 z) j, g) ~- f5 t4 F6 Z
;;
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/ C: z  v5 k1 L4 }( [) [( D
[
1 {" I6 Y  M8 _; m2 Flet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
2 i  O8 b$ C* U4 Qif (trade-record-one-j-l-len > 3)+ E* J. R% p! z$ }: X; Y
[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
- N, k; C8 m- f8 J7 P; C7 Blet i 3! f/ {4 C5 B: _& o2 @* s( @
let sum-time 0
0 G. ~/ M) X# v+ K$ wwhile[i < trade-record-one-len]
9 T1 n1 X2 Q5 [- C& l# x[1 |  a5 E$ |3 W  Q5 Z. z
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )& k; ?5 _3 H" d$ Y) j* l, x" [6 X( ?
set i
8 V! R6 c8 O( B, `2 t; i/ f/ n( i + 1)
$ N( a1 ~( u, u' Z* S" N
]
0 i" q0 q/ }/ B/ k$ e# N4 a+ L, q# d* ylet credibility-i-j-l 0
: g' I" ]0 V1 f) f* R9 b( {, ?;;i
评价(jjl的评价). V$ Z% J( Y/ N
let j 3: H6 v9 G5 b! t4 e6 _; g
let k 4
3 \2 R. H* f3 z3 H/ i7 @8 _2 w# uwhile[j < trade-record-one-len]# K9 S: T7 b9 o& e5 H
[
( W% D  O% E. z) ?6 ^& uwhile [((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
/ @: B8 ?2 }5 M8 U# j* kset 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)+ h# ~4 z; ]: Q8 y( p
set j6 A, ?7 Z# a& @$ Q' p
( j + 1)
, y6 {! V9 {# w
]
+ W! ^# j/ U$ O" B" b; sset [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 ))
  v5 M) r/ `1 V/ ~; k$ p/ n  h6 `" i% Y$ G
7 r) i5 U# A- ^0 s! L. V
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))- m% r  O* @- j1 H( _% b: k/ N# |
;;
及时更新il的评价质量的评价5 Y9 t) ?' W8 P8 e5 O  d
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
$ ?3 ?5 v9 Y2 I/ `) ]set l (l + 1)0 b* j- {' T  K% V0 i
]
' O- }) {* a+ }' j% D9 yend
& B. |( G1 u# B. f% h6 o( M
0 z7 G8 X' ?6 Y% K9 Ato update-credibility-list: S$ H5 M3 P# R) D; L' {6 Q0 E* F
let i 0
+ B; L  N$ a0 z& Fwhile[i < people]( c; r. g: b% k7 r" I. a1 m2 F
[
+ k+ b3 _$ \+ n' llet j 0
2 s8 D+ S2 p& Clet note 0' T% j3 b/ y9 v( n( q2 V
let k 0
- X* C# n% d- b% S+ v& \;;
计作出过评价的邻居节点的数目- J. j: E) U3 u0 W/ Q
while[j < people]
0 B* l% N* R4 b* ]3 I3 y0 i! r* M[
+ P. \. S: E- d3 b" v) f  V% X$ |if (item j( [credibility] of turtle (i + 1)) != -1)" s, d- }3 [' r! H, {
;;
判断是否给本turtle的评价质量做出过评价的节点9 ^; s. Y! Z, j$ C3 p: q3 G6 R
[set note (note + item j ([credibility]of turtle (i + 1)))
+ n0 @7 Y$ a* V/ c' N;;*(exp (-(people - 2)))/(people - 2))]

9 X/ w( w, ^/ N/ e7 ^6 M& q2 n* Jset k (k + 1)2 L1 h8 s/ b8 J' D, u
]
  c' u9 l, z% u- G" g# ~1 Lset j (j + 1)% f$ \8 i' |* ?5 f, t8 z/ h
]2 Q4 A( S7 ~6 W. g1 a* F
set note (note *(exp (- (1 / k)))/ k)
! \% ^) {$ ^2 Qset credibility-list (replace-item i credibility-list note)7 I7 ~) P* \8 m" d2 ~
set i (i + 1)2 M# T1 u& S6 x/ J" x3 H
]8 W8 m. [0 ~& x* U+ Y  U- Q
end
7 B# X7 L5 I" A3 S$ F2 N
' }% q& Q" y; y! s9 M8 @* _to update-global-reputation-list
6 C/ k. s- X* ilet j 0* x3 n4 i; S) e8 D7 k
while[j < people]' N- Y7 ]2 S4 G: h
[( U& w* a7 I3 Y
let new 0
/ B8 i( u( j; E- q7 i;;
暂存新的一个全局声誉
! A: }1 a9 j& ^) \9 wlet i 0$ M/ m6 h5 H; v1 o" S7 @- q
let sum-money 02 E2 U3 M, @- u+ u* ~! Y
let credibility-money 0
, N, j: ], z1 h8 dwhile [i < people]
1 P( \' z9 l; F, n, T8 A6 T% k[
- c* {: y* P. R2 i/ e, \2 u! R9 Eset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))  O, ]4 r% G' j) `
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
! u/ q/ I# P! f* wset i (i + 1)
& {* s' z, J" a) n& ^; h5 r]$ G, {* q3 s. T0 C% m2 B( u5 t0 p6 i
let k 0
  E6 _4 T; q& E" P' Z; Llet new1 0
1 f; w2 L' W( ]while [k < people]: P8 W/ N$ v. Y0 ]1 u: S2 A
[9 U* h( N* P) K
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)! ~- }# p# V6 I; ?4 x( t6 |
set k (k + 1)
6 `% n# N9 o/ c% s6 X. Y9 T]
: s3 _, ~5 y5 G, W+ X7 ^5 tset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
6 Y( M7 q1 G( \, Xset global-reputation-list (replace-item j global-reputation-list new)* r+ ]  B& o0 r/ `5 @
set j (j + 1)
; p. L5 e! Q9 a6 L' P8 L1 o]) R# k) G8 y- D3 ~; e3 W
end  ]$ h2 ^* G; t5 C- O  L

  i& h: W- s( V; p% ^
8 T8 b6 ~% }9 V8 O1 E" F8 g8 M
" w- o& y/ i# ^2 o" uto get-color
: ?4 X1 y) P% u5 b6 t$ a
2 A( N( ]/ w2 H, m5 B9 q7 {set color blue

  x6 E+ ~  U: [! }. ^( U' jend
9 d  C, @6 D% M3 X& o% u* q) c/ J1 v
to poll-class. R! M4 L$ y+ m. K4 V6 Y
end; J, E( y9 q  g7 ^( V# z

% @) y' [7 @$ n& i% M: |1 c0 Qto setup-plot12 e  }. [0 X% Z- u2 J( b
; G) R/ ?% g$ `- U5 @
set-current-plot "Trends-of-Local-reputation"

; a! ?, y. [1 E4 A7 e" m! k' D5 v. t: V( D
set-plot-x-range 0 xmax
; X- k. ?6 J. ]% y. Y# q

5 L* v: ^$ P. R* x% ]set-plot-y-range 0.0 ymax

" Q9 i: d4 W% @+ |end$ A9 j; F, L9 r* R8 p$ {

  U- m5 J) ]  K' D1 \+ Kto setup-plot2
7 X5 h/ @3 u0 Z7 R9 p) w
1 [3 F& R% U: ?, l* Eset-current-plot "Trends-of-global-reputation"
, g( i; t4 r3 g5 [# [, z5 K2 C. p, [
+ \) `: v  x3 [
set-plot-x-range 0 xmax
! y8 w* h- p) @# ]* S& U2 x, O
3 T4 d& s9 ~: o6 o7 z& w2 c
set-plot-y-range 0.0 ymax

0 h' U# p8 R" R# t8 lend
' _" I" ~9 P2 [+ y/ c% L  j
; ?$ t; {* S) xto setup-plot3
$ r: \7 f, j, T! e5 V4 q6 h( C
6 }$ l: Z7 `% m  e: Aset-current-plot "Trends-of-credibility"

8 `5 \2 o+ r$ ?2 S2 ?: Y6 q
% `6 V/ u$ k2 T3 mset-plot-x-range 0 xmax
: `: {% H" W+ M
4 b& V& G4 D* Z0 q# Z! h
set-plot-y-range 0.0 ymax
+ D& k* `' l, d) E5 W, D
end
5 z; e2 t0 z9 [& Y/ z
$ M1 N# |$ `% u  y# t: kto do-plots
; f1 f# }) a0 a4 w$ u& Mset-current-plot "Trends-of-Local-reputation"
; e+ P6 P1 R6 Cset-current-plot-pen "Honest service", x6 B+ i/ g! T, n* K. B) F
end
- ?) E2 ], N. D$ t  o* ?8 v7 W! }5 ^: l8 U* @3 S# X
[ 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.1 Z; A+ n7 r8 I. s

5 q7 s* V3 A! Y  h2 Y6 a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, 2026-2-23 08:12 , Processed in 0.020909 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