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: 12167|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( n" V& }% J" q& u
to do-business 4 c4 j& W6 f* z9 E/ ^, U
rt random 360
. g8 r' ?/ @' y1 D/ q: l% G: E fd 11 s' ]0 c1 C2 |) J
ifelse(other turtles-here != nobody)[
" s% W( X9 ^; q( U3 E4 o! e   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.% _1 k& y4 ]" m/ w3 r8 ^6 C
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
0 |$ q. T  j  i- F8 d: L+ h   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer7 }7 @% |: [5 e" u* ?5 L
   set [trade-record-one-len] of self length [trade-record-one] of self- S% o" X; U0 F2 Z6 z$ }: n
   set trade-record-current( list (timer) (random money-upper-limit))8 e- h  N8 ~9 E& M- O* t
; X+ d1 \) X2 @/ X- c, t; h: E
问题的提示如下:
. g& [* _. x/ ]5 f3 ?% q. R' `- R
$ Y% r5 Q! G; q+ Y. uerror while turtle 50 running OF in procedure DO-BUSINESS
9 F' d# g$ E8 _+ D: C+ f3 h# L2 E  called by procedure GO" \: e, a1 G0 e' [& {. Q+ h! C  d9 E
OF expected input to be a turtle agentset or turtle but got NOBODY instead.$ I9 ?# m/ J% q: m* f
(halted running of go)
- {$ D/ x3 B( w
+ q3 P0 |7 E9 u, d! N8 C' H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~~
2 j& F0 t! _* e* T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
3 r* h2 L* f) nglobals[# p+ }5 r( ^* j+ F) e$ z
xmax0 M1 C2 [3 r& p$ b' i+ l7 W# {, G( m
ymax
* T0 L% @, g. N) ~# t. h5 yglobal-reputation-list
$ [3 e( K' g% X5 b  z5 d8 F6 k  ^+ o* V8 x3 Y' C) ]
;;
每一个turtle的全局声誉都存在此LIST) e4 }2 E8 D+ w9 D6 n3 G
credibility-list
8 X& r& m( l0 l9 Z;;
每一个turtle的评价可信度1 f/ L7 U) z& N- ]& [
honest-service
) z: d- L! }8 A' sunhonest-service
0 X# t6 o6 \' |+ Uoscillation
8 ~4 ?. d- `% j1 P( a! Jrand-dynamic
. J. Q7 M, {9 u/ Y  Q]2 l( f- j8 J9 g/ t

" ]. x" w6 u7 z* }- gturtles-own[2 b/ o0 X; h% x
trade-record-all9 Q. c8 a! _; o4 D' j) z' k
;;a list of lists,
trade-record-one组成
3 a; \# C( o* N$ A; itrade-record-one
& B7 k1 V2 e' j;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
& m6 C3 S# \  j& u" s
! I% B4 w. K1 u+ T/ e! f$ `;;[
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]]( I4 |9 b, f& c: v& i
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]9 X2 v3 ?' z. ~* |8 N) e
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
* G8 M4 [- Q% {/ B+ L. D' Nneighbor-total
! r; K" t: y* n: Q# r;;
记录该turtle的邻居节点的数目1 ~$ _+ g0 }5 {% G0 I$ |
trade-time& s( K3 z! `, a2 R. |: X
;;
当前发生交易的turtle的交易时间
6 r" x9 I! J/ H8 a6 zappraise-give
5 n# x; n6 X1 C) p3 i) @;;
当前发生交易时给出的评价+ y" _; e/ P' X. O+ L6 b
appraise-receive- A& h1 d4 Q( j! y' U
;;
当前发生交易时收到的评价2 ?. O. a4 Y1 x8 D1 b8 u5 }6 x. f
appraise-time% l0 u8 R5 y5 l; k
;;
当前发生交易时的评价时间2 [1 J" o, q, E8 x$ `: a
local-reputation-now;;此次交易后相对于对方turtle的局部声誉1 B9 n  x' n" F( m
trade-times-total
* }5 i& R/ g& f( {* w;;
与当前turtle的交易总次数
! L0 ^& y9 w9 F# Etrade-money-total# `; W8 P) t* q" E, I8 ~8 D
;;
与当前turtle的交易总金额5 i* Q3 Q  ?% K5 L
local-reputation
( y& Q2 Q+ s1 Eglobal-reputation
$ J) T9 N# p! H, N3 rcredibility
6 B$ H0 h3 b- ]8 f2 _) R8 L. a;;
评价可信度,每次交易后都需要更新
- A/ A2 e2 D: O2 w* T# tcredibility-all& ~: A7 F4 Y6 X% T; ^1 }
;;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
: p+ N# B' L# W3 P# u9 f; }/ A8 K4 q% D
9 l) p3 ]. Y$ L" o, _7 j0 W* |;;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
8 B) L$ ~. p5 H* [credibility-one
7 V. m  N$ v( Y) S' p2 K; ]) D8 t;;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/ H7 Z& ?8 z7 b$ o) j; |, H
global-proportion
+ m: Q) z9 \( J' G' I% X4 V! hcustomer3 \6 ^$ `( G' L0 I% g+ y8 K. {
customer-no. h- q$ e5 G% D: ?* J/ W9 Z
trust-ok
- \) M# z0 z, u, @5 B: Q, q- }8 \! \trade-record-one-len;;trade-record-one的长度
( D( l4 x% R8 o' ~]
% \# V% Q/ q1 j/ x. o
$ h# c. M/ T. E: l;;setup procedure
% a6 b  l# F7 A7 ^8 g$ n) Y; g, U* Z! }
to setup& q; D: X# F; b, N1 T( [
& W/ l9 R. J1 x' I3 }. i
ca
" m0 `& I% B8 B! W  L* C

. [" R4 N9 @1 K' x6 g& C, g5 Iinitialize-settings
8 u9 d3 A9 _6 A5 A$ O" ^
" L! u. J$ N, Z
crt people [setup-turtles]
# b+ c& C2 }! f) R: ?0 I; h
. J0 P/ d( H6 {& d
reset-timer
  J: c& T4 b9 H3 e

1 G( W; a( x7 i* @3 @. Bpoll-class
( ^: P6 Y- d. F# q( m

8 [) p0 q9 k0 C3 Wsetup-plots

& M( r/ M7 R+ m6 P2 O5 `/ j, t8 g' L6 Y1 i( y4 I% P+ g
do-plots
) u) n) Z% v/ ~& k3 H8 l
end
& L9 q) k8 k: y' e) }9 F/ f
5 v. w2 @+ D9 g9 g( l- i# nto initialize-settings, a  A& @6 ]/ x- v8 x2 r9 o% z
) a7 p2 n; U9 {7 i% v0 k0 w
set global-reputation-list []
3 k( X3 w& \' ~2 X+ q- E

3 P, u. t! ]  t5 Hset credibility-list n-values people [0.5]
# t6 D9 k$ y# w
: H6 [, C: ~. O; D/ s+ D
set honest-service 0

1 d1 M* Q( U, l' }( M
/ F/ H# G) }) |7 G/ _! S6 wset unhonest-service 0
' F( s8 a0 p+ G, h1 N6 b/ W

. E8 g+ k/ K: |+ U. s) q7 Rset oscillation 0
6 q# Y+ ~2 r1 t# Y1 O6 _: j2 {. O

9 H7 F5 Q0 x5 Z3 K5 q4 @set rand-dynamic 0
, l+ b" u; H5 b( F
end
1 x, J: ?% V: U6 K* l- n. `, I6 Y, X$ j1 i! g  A3 R+ l  D
to setup-turtles 0 {' E2 o* l7 _" {4 [. _
set shape "person"' {1 {  D7 z) l! o
setxy random-xcor random-ycor8 |) m7 `' J$ J1 K$ Z8 G9 d/ s8 i
set trade-record-one []
& X# B+ t$ ]" U) V

' [; U5 Y2 z  y; Vset trade-record-all n-values people [(list (? + 1) 0 0)] ; r; N+ ]* z0 F0 I# N2 y8 U+ ~. \

* k% n/ Z- F4 {4 g& `5 _+ ]set trade-record-current []: P3 L  Q! K9 s% y$ C# h7 {
set credibility-receive []0 w8 w/ V% ~- c. R: b" Y- W
set local-reputation 0.5
1 _0 m$ s' ]" `6 ^) X  y* f! C, ~3 ]set neighbor-total 0% D2 T1 C5 i: j; M  @$ V
set trade-times-total 09 c0 r3 Y4 J, r3 `0 u8 Z1 P
set trade-money-total 0! q( W4 Z+ ]& l/ p! T/ S& e$ B
set customer nobody
* ^* ~* U% P' x# L! j7 t+ g; Gset credibility-all n-values people [creat-credibility]
3 ~# x% y  `, d' \set credibility n-values people [-1]. T' F& F) s2 w" \5 }- r3 [
get-color
" f, C* C$ r6 |3 ]
, M% i9 ^8 B! j: @- {) [& S
end
- u0 w8 s9 c! S9 R: G, L& u  e* P
3 d- w/ s" x5 R. q8 N% ^2 {to-report creat-credibility5 Z1 h; B- a2 ?" T( b
report n-values people [0.5]8 ?4 P9 _8 D6 M. b
end+ g2 x  r1 [) J' G$ o8 M# a

$ L0 P) h6 j! cto setup-plots6 u! ?, }0 r& c
, V, c! V5 p5 C4 Y
set xmax 30
4 B5 z* E9 w- N! @5 j
. C; v3 \& L2 ~: l1 M- x9 U, S/ t* T
set ymax 1.0
; w1 g! l% b. s$ f( _

. Y& a% S3 W/ |4 W+ mclear-all-plots

4 x) C5 l# l* g( |9 ]0 N3 B, j8 b" @; J  S' L
setup-plot1

5 l; @  y# T7 K( P, l/ g+ H0 D# z% U4 r; J* H5 R
setup-plot2
, N* Y: i0 _2 A. G0 _0 q! y

, L% p, M$ n2 v5 L8 O# S8 Zsetup-plot3

7 q4 x$ M0 n" qend
: `8 c4 T$ l+ h' s/ P8 k" q+ L! g  ?$ \8 ~' ]* _
;;run time procedures
# s6 H& J% ^$ h6 H# M- X9 X" X/ \3 D: _" ^. b( E; J' k) h
to go
* o: f9 _9 G' `3 B6 T/ u7 b- H& h2 K
ask turtles [do-business]
" f) ]5 B; |* e: @2 T- H% k" k; i7 j
end
; y8 ^- g( _; J; _( a! z0 {
- g7 x, L% R& c$ G+ k3 A& `+ `2 u* o/ Lto do-business
7 q" Y% y0 U7 [1 G- {

6 j+ E0 c& u- i4 A" z( g  [8 D. G& f6 O" l* A  g# R! V  f: v* a
rt random 360

5 {, b: _4 [* V; ?$ B1 w/ \7 g( H% j6 N& X. G
fd 1

1 T; P# M; ?) }/ w: A5 @% M& c6 a
- l- O! J; K' a  w; a7 y7 p6 oifelse(other turtles-here != nobody)[
) L0 G7 K: g! B

  ?+ K  \1 A& A; B9 _6 K' cset customer one-of other turtles-here
' _  f  r- i+ B6 k& U

0 m% o/ ^4 U( N$ w;; set [customer] of customer myself
4 O" M. ~, X! J/ G  C- Z# ]7 j
- {/ {( c1 s. F! u
set [trade-record-one] of self item (([who] of customer) - 1)  e5 z6 j2 y+ v, j
[trade-record-all]of self- S! ~! s7 s/ q9 d5 ?6 _
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self

2 L8 q( d0 y) M; ]- ?9 @8 I! {5 C& a1 x  r1 u5 p# r; b- D2 e: ~3 I) J
set [trade-record-one] of customer item (([who] of self) - 1)
0 b! n, Y$ p; l5 }" B( ^[trade-record-all]of customer
8 ~/ m) [/ h! e1 c% z% s0 W
0 ~6 J, W; r/ n: Y4 v6 N- F5 a; _
set [trade-record-one-len] of self length [trade-record-one] of self

' H* G! t# x3 x
, v- i3 W+ O. n( W4 l5 D9 q* }* E5 tset trade-record-current( list (timer) (random money-upper-limit))

. z& N* O6 v$ ]% I0 ^& n- m0 r( k2 \* @8 G" j( V7 N
ask self [do-trust]
! L* F4 b  l2 ~! |' i' @;;
先求ij的信任度4 t1 b" g$ D  O
! t4 D( B6 @, i' x. w- y4 G
if ([trust-ok] of self)2 ?# \1 i: s$ l5 H' D; B( A9 \
;;
根据ij的信任度来决定是否与j进行交易[
  P3 P2 M/ c) Z4 s! b7 `ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself& I: E5 L! f; R* @" A; u* i
8 o7 U( n4 t; P: t
[
) {' y3 j/ B9 l6 G5 _

: ~. x+ ]7 [7 V* \* Gdo-trade
, Z9 p( L& \# c0 S3 C
8 q2 y) {+ W" }# R3 p& c
update-credibility-ijl

; J8 I* I1 R0 U* ~0 J4 `4 J; ^( N" d
update-credibility-list
- [( l! N# {+ }

: ^( g6 H( R( A5 |
# n' }. ^% p5 S( ]$ t# @) l  jupdate-global-reputation-list
9 u) z. K' ]; k
0 q) |4 v3 s4 o( ^' I3 M
poll-class
4 D; [, i1 \4 E  B
& k3 g( Z3 n  k3 K6 }3 o# e
get-color

  J) h) L3 l8 A
# C5 `4 o$ K! j# r5 ?; a]]7 n5 H- ^: {! F. A$ Q

5 U; C& P) l5 N3 L, k) {;;
如果所得的信任度满足条件,则进行交易
& n* V" [* I& ]5 [- c4 y& r8 @! q) j* Q* F6 G0 w* U0 z! h  t$ o
[
' Y/ |" ^, z! g+ |; [5 T+ L  I# E

! \7 U: z) ~2 f& {* Ort random 360

, `5 w( |8 c, m6 b+ Y, D2 P- A' a- p* e' O
fd 1
6 h. p, @1 C8 [, D5 y8 F
0 f" W1 \* t7 K, G
]

) j9 ~, Q1 G# y5 K9 ]2 s- j8 K+ q- ~$ J0 P
end
. U  H; f: Y% J4 R
! s; U' z) n$ Y3 n" V
to do-trust ! O- S+ d2 N+ ^( c4 }" H. ~1 l, \
set trust-ok False  [, v4 }- l; I: w2 M
1 m8 K% N8 V' U4 o, y0 b  C
& L% m0 o$ ?' U9 n
let max-trade-times 0, _/ w$ `' p/ ^- V" `) g. g
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
7 x6 s- ~0 Z. r# h. p( [+ _+ G# P, clet max-trade-money 0" A4 b3 s! Z, o/ c, l
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# k4 J! @. f' w( l1 |; qlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
. E, ^# Y) Y) O9 f6 H
! J* f/ ~* O+ g8 B, L2 ^  D' K

! K& H& P" W5 F5 y: l6 Yget-global-proportion  D9 ~8 O  c( d/ l9 L
let trust-value
8 L4 O1 `2 T6 h% A9 f. Tlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
  y3 S, H0 Y: R- ^. |  ~* g
if(trust-value > trade-trust-value)
# y; j* m: [+ h5 j" Q5 ^7 ]; i$ a[set trust-ok true]2 E3 D( k0 V/ h# @: ?2 p
end
7 z* y% n  p/ Y; L: J. V* I# K
1 @2 A( L" {6 `. Ato get-global-proportion
" w2 L: S+ g( G- R4 w7 a+ s5 S' P  |ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
  r3 F+ `) q: V0 O# k) D6 p[set global-proportion 0]
: g; u9 [- m5 r6 T( l1 j8 z[let i 0
  T8 |; \; P- T; h1 |! b* zlet sum-money 0
8 Q% H, T8 i" S1 V" e# y  \while[ i < people]
7 d$ x7 ]* ?4 M4 b2 ^+ J[
- G1 ^% `( s% ]0 V' R& ?4 t4 Cif( length (item i
# O: a8 e/ V9 A/ ]8 y4 B[trade-record-all] of customer) > 3 )
7 I3 e. y+ ~" d
[
3 u) c2 v# b- F) N. Jset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
. ~$ \8 F& K$ \% [" t( ^4 ^" J]
1 n) o; o; U. e6 O3 O9 Q9 o]' r% G& Y. `* m
let j 04 e$ @  K, Z. l1 H
let note 0  C; W2 [. j% ^: N
while[ j < people]  P8 G3 s# f) b$ b( w1 E1 e5 q
[6 T5 Y6 x3 E  U7 L
if( length (item i( ~2 q$ v' I" v+ H- o+ G9 V
[trade-record-all] of customer) > 3 )
8 G* p, e7 a1 P2 G
[* q& Z$ z* Y# X8 p5 T8 X% J8 E2 {* f
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)5 D+ @0 J  b' ^* R# u5 d) w
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
# M( J; K# u1 ~[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; h. S& b) p  o4 G
]2 h  ]$ G* j# X5 L& D4 `
]
, y  v8 r/ b5 P/ y1 T+ Qset global-proportion note
) E8 [$ v$ D, Y' F! n# m5 r]8 T, Z3 q) h8 H  i# Y8 f* S
end: p9 p7 z& B. R: H

2 R9 f: e9 l  Eto do-trade
# ~; v* w' @! r1 E7 Z+ j2 };;
这个过程实际上是给双方作出评价的过程
/ _) I1 X# [; L) G, pset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
. Y" f! D  j6 g+ y" Y# ]set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价
% ?* E4 z4 o1 a! Dset trade-record-current lput(timer) trade-record-current
  h7 l4 o+ M# j4 o* i" S+ }$ @;;
评价时间  M. y$ m( M! v+ I7 N
ask myself [
7 X  h/ S% N( j6 n) s# |update-local-reputation9 X( i; v! \7 E0 \, u, i
set trade-record-current lput([local-reputation] of myself) trade-record-current
/ t" X1 i4 s( h( \# C& m! v]
1 ^6 Y3 ]% |6 A# {set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself- ^  B( {) D, p4 r
;;
将此次交易的记录加入到trade-record-one0 G" Z  }3 P/ i1 N
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)! z: n2 V7 w3 ]  U, B
let note (item 2 trade-record-current )( {: P3 a+ Q: S: x# `5 ~* G
set trade-record-current/ u5 O2 N6 N) U" ?
(replace-item 2 trade-record-current (item 3 trade-record-current))
- ~, S  ?& f& Q  m( [
set trade-record-current9 V: X$ K% j( [! F. Y1 m  b$ |
(replace-item 3 trade-record-current note)
7 P9 u$ X- y! s+ l- t9 g2 s
" F7 X) L5 f* ?6 j5 p; E0 S) C

) U% A) ?2 n9 Q, Zask customer [
4 e% R, ~6 ^. z, D* Z# B+ J* @update-local-reputation
, K: V. l) s9 bset trade-record-current
, E# ]6 v- l& B) \0 e5 z8 t; d& U(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
+ S+ C7 m4 K/ J1 Y; X% y! \
]
* K1 \  k4 _. r. N) W8 p. M# B/ X4 m1 w; W; E8 [$ R

9 D! S, J( `$ s. p2 v, K( r$ o% a7 W+ Mset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer2 b9 E, e5 ~" b

- h& |" r0 _+ A0 ~; g. dset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
  p3 {- o% A6 J/ E$ T  T;;
将此次交易的记录加入到customertrade-record-all
& g0 c' Y0 @+ H9 g7 cend
: y7 ]) e: Q1 B! l3 O0 H
+ C+ d  n/ D" y( O1 [3 J0 {# Oto update-local-reputation
& U/ O' ^: w8 t0 H% R- Nset [trade-record-one-len] of myself length [trade-record-one] of myself
! w% w2 p( U4 S" S4 e: o5 r
% r* i; o2 M7 J0 p4 L0 t- c/ b: o
- ~4 c6 b* X% L7 c;;if [trade-record-one-len] of myself > 3
% a2 |. O8 l, t, a: _7 e( j
update-neighbor-total/ E2 Q+ L% F! ]6 v
;;
更新邻居节点的数目,在此进行
& @) R9 ]# @# ?! `. N* xlet i 3
. _5 K3 G' y& p/ T* flet sum-time 0% S) I* m6 h0 j# A
while[i < [trade-record-one-len] of myself]
6 r* |6 z5 F9 `5 G[
% u4 A% K& g2 e, Y3 M7 `( }set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )( O' `7 P$ T5 H. M
set i
: I9 G9 N4 d3 Z' f( i + 1)
- s# z# K4 G( ~0 l% m
]' q! d7 Q2 p- I/ B2 x- V
let j 3
' F: m  E6 X! O6 ]- m/ n9 O+ vlet sum-money 0
. r: k. a! J2 v& Iwhile[j < [trade-record-one-len] of myself]) j8 `; R8 \# C
[
+ l2 x6 v1 C& b1 u9 V) Zset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)2 @5 a8 X: S* _, z4 b- b
set j
8 g2 S5 B  _& [7 j( j + 1)

' x% _4 _9 `8 r+ N]9 S4 s5 k5 v. n& g5 F' d
let k 3+ L# D) V1 |- ]8 X
let power 0
, P1 T2 T8 A# G0 q8 Slet local 0
5 ~9 x. B+ k& @5 P9 Y( N) gwhile [k <[trade-record-one-len] of myself]
! f' d7 ?( \5 x- D& l[
% D+ G3 A0 P6 `# i% P' W4 Dset 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) , q3 z/ C; T' ~5 \! M0 U) q
set k (k + 1)
- h+ n5 u% T- X4 [2 L1 [& M1 i9 c2 E], E& }8 Z: y+ H, D' M
set [local-reputation] of myself (local)
5 m& a% U- c/ E. F% U' K- Oend3 y/ }$ X2 k0 W: m) e
: g4 E3 [- n; G) f, v
to update-neighbor-total5 e. M, d8 t- f7 o/ K
( s8 y3 m/ L2 d2 `- s" n4 D
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 w2 H8 q/ H- U# N$ B
2 w  Y, P# m6 a4 ^; `' K

* E. ]  e7 y- H# t5 ~8 N4 xend
$ |  t7 N4 a& ?5 y
( M" e, K  ?# c% H: d7 V, F1 y0 Tto update-credibility-ijl / E0 V9 q' F; S0 u" t* L0 k3 h

# q# b. {: ^/ O8 h; `3 L9 A;;
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。
- L' u3 k) n; W' Wlet l 0
1 M- w- {- S& r5 |( m6 N5 }8 Xwhile[ l < people ]
% c& ]3 x" {/ ~" R) m$ [;;
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 z5 z$ |$ v& X0 ?[
$ {5 K! G; O8 V& m+ h% ylet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
6 n" n5 ]; V0 rif (trade-record-one-j-l-len > 3)
) F+ b0 d6 H9 I% M[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( `* u3 {3 a3 R9 C' [4 d: U7 C
let i 39 j: t" {+ n% M* M# l  L9 b
let sum-time 03 g$ M: v7 y2 e; N& d* d7 V
while[i < trade-record-one-len]' s5 ~+ _/ J: c( @5 L% X; s
[
* ^/ }6 e! Z& l+ E1 ?3 ^4 wset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
% @, h$ i- P& vset i
% a) u: T( s0 M; L( i + 1)
+ z  u! v5 q# b. a9 z
]
: f' \( ]7 `$ r& }9 k$ Z# ?9 A# K8 @let credibility-i-j-l 0
. `, ?& X* I$ ]3 ?;;i
评价(jjl的评价)
7 Y: j0 c5 Q6 W, olet j 3& C- W- Z; c# M$ q/ b
let k 4
; c) a6 B0 y' r3 @$ @/ Mwhile[j < trade-record-one-len]
5 V! |- h; Z" G4 u4 w7 l) z6 w) P8 ~[
( P; f7 n2 H& A# o+ |2 \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
! c7 h# a$ t. }$ H. Cset 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)
! j" U: u9 L4 @- Rset j1 ~8 w% Q3 u6 m" ]! X2 N
( j + 1)

* t% q* v7 ?) P' X% f( g]
( a/ ~! |% j0 D! @' _2 k8 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 ))
( A% l) w% U. K" D/ x9 [8 m3 O8 ^. H/ p1 A" b5 C* C

+ E+ H$ C# G* k9 y" V, Q9 Z, Llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
/ j( S3 o/ L+ ]! D9 t; S;;
及时更新il的评价质量的评价0 m) n  |! B1 U( I
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]3 j# r9 ]4 H  x4 x2 p
set l (l + 1)3 ~+ C. Z( R/ ~
]
* D3 _$ t+ X/ b1 m+ |end* r# d- |! k+ H3 R# P6 ]# ]

( `2 W6 h# P) C% e% X$ s5 w2 Gto update-credibility-list
  n, p9 X; i( N( D. ]let i 0
/ q. w& E) S5 {6 I% x6 \1 \# t$ ^while[i < people]
; }5 d% l. \5 Y[- a: [4 |8 C' s0 C" e! r7 D' K
let j 0
7 t+ m5 N) `6 r6 J1 [+ q& Blet note 0. ~1 d' v- s& v) F' R. @5 @! C
let k 0
4 Z- E( l- }% y  ~9 Y8 v;;
计作出过评价的邻居节点的数目9 v  Y  H8 t3 c* F% P
while[j < people]
  I. [8 c8 f& I6 o" o[
  R. Y7 M% L, H4 w9 T6 O) Lif (item j( [credibility] of turtle (i + 1)) != -1)
! S+ F9 `/ O$ T+ S2 F; };;
判断是否给本turtle的评价质量做出过评价的节点
. i) ~7 K- D, c" |4 k& d7 A* Q3 S& C8 A[set note (note + item j ([credibility]of turtle (i + 1)))& @! f2 v5 K& `% K
;;*(exp (-(people - 2)))/(people - 2))]

+ B  y0 W( `% F+ U4 T, ?  Nset k (k + 1)
' `, i) ]$ @2 h9 I9 e+ C: M]
" X' U* D( Z2 l3 C- @, t" B1 k# \set j (j + 1)6 J# ]# v5 K8 O' g6 b9 @
]
, o; L+ N, s" m) v0 m6 Bset note (note *(exp (- (1 / k)))/ k)+ h3 s& I  }  E" y9 s0 X* l# u
set credibility-list (replace-item i credibility-list note)' p% P  |# c6 L8 F/ l
set i (i + 1)
* j4 Q+ o% s  d% b2 [& A  E* I]
6 t: q9 X- C9 t* i  Cend, U7 [( t5 C9 c1 Q" P6 K

1 ^" ^, L. R6 x" \1 Cto update-global-reputation-list
  w/ w: J6 E5 p+ R- Glet j 0
* H! ?: g! D3 Q$ R, b$ H& Fwhile[j < people]
0 V7 Y: Y& ~3 [5 p' l: U[
' u5 k& S5 r+ K; `, f3 Olet new 0
/ l6 i  h4 n) N$ P+ b;;
暂存新的一个全局声誉
7 _- C+ u& p7 S" O! Nlet i 09 u, L0 G4 l3 U" d9 A8 W# y; _
let sum-money 0# N' Y" S3 R6 z( Y
let credibility-money 0
4 n+ |# C7 _8 R% kwhile [i < people]+ y- a) h  a- F+ c
[
  C* Z$ F- j  I3 t1 }* i. Pset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))), p; o! W# d' t
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
4 Z- b( }$ @3 p  G  _+ d% c" Rset i (i + 1)
8 h) ~+ b) Z4 W]/ S9 k& j+ l/ w/ f& H( r' U
let k 0
( K8 R/ c) i- P) S3 C. z+ S4 ~let new1 0
. o) T& v* A& i% E8 f0 U9 ^while [k < people]
8 S- v; H2 u  Z0 C7 {( H[! \; w7 l4 L, }
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)
2 ~* f: q- O) Fset k (k + 1)3 y; U5 w5 \  y- M, o
]# E! R1 U: y# W  v5 p; i
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
; x1 a  M9 q, t  \4 c# u$ E: Eset global-reputation-list (replace-item j global-reputation-list new)
/ `% c# }, E# h8 q7 Kset j (j + 1)0 g. M( Q+ l$ T
]
" H, G& j4 D" o$ t3 lend4 f* j* l0 P! Z( m1 x8 @% Y: b
" D7 s/ D; O- ]; d- W+ s4 Y6 d
1 ?- ?" p  W, D4 K

+ l( e% L! Z' ]0 Pto get-color
- j; I% t$ v7 `! q, ]1 @
1 I( b  K! A. G# Oset color blue

' U" B9 N  S9 Kend
. |  M  L0 L1 c4 U
6 ?0 Z% P) ~  \5 {0 {( Uto poll-class
  w5 P3 c4 T" k! Eend
. p/ F/ k# ^4 G  L+ U, m
2 k9 E# A, I- u+ Kto setup-plot1, J% w: E, ~+ j: P$ a  p

! |. c+ n/ |* N: yset-current-plot "Trends-of-Local-reputation"

1 z# e$ ]1 _# y  |/ x0 |# Y" A) R" W0 O0 ]
set-plot-x-range 0 xmax
/ j: p4 }% S3 h! n1 H

& l- V; G5 o8 w: pset-plot-y-range 0.0 ymax

, t! a4 F3 V3 T- O( J) v- zend7 [- S5 x) l7 [+ l; L7 T& C
+ O) g# p) E1 S+ M* Z
to setup-plot2
- J/ `/ x0 X$ G) g# Q3 `7 w3 i4 E9 {+ e
set-current-plot "Trends-of-global-reputation"

$ ~1 h0 p. k0 Q+ b7 s% Q+ Y5 i' a1 f7 E
set-plot-x-range 0 xmax
4 k( q3 Q& _9 C" V! p
3 @# W# K1 z4 r. b3 O4 J) o' B
set-plot-y-range 0.0 ymax

% s- E2 ]5 O, W1 W( O" Send
! X: ~, L4 h" O, w# R/ s% A
; C% B6 I/ T' @+ e& @4 z" ato setup-plot3
$ |+ @- i, l4 G4 c8 e; a9 R% a; H( \' x
set-current-plot "Trends-of-credibility"

2 y* h: v  z" d7 u- I9 O
6 j, R  k, S3 r# mset-plot-x-range 0 xmax

! G9 M/ Y) N) E5 k& B9 V. S+ i1 L( d% D
set-plot-y-range 0.0 ymax
2 V) Z+ {7 Z1 z' a( w
end
/ K% `6 B2 K  l* v( J+ C# L
* ?3 P+ o) C4 s( ato do-plots/ s- l& h( |3 y
set-current-plot "Trends-of-Local-reputation"& o. b. [# U3 D' U+ W  q4 c+ T
set-current-plot-pen "Honest service"
4 f$ a2 \, n, t2 F  j4 Tend
2 s( g  f+ J2 O( w4 s. s' w" n4 m2 S+ v3 N5 J! P4 i! A
[ 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 V& ?+ P  ~7 K0 [' W! ~$ G3 T6 \2 [) D1 t, V& U5 l, C( ^& s
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, 2026-2-15 16:44 , Processed in 0.022154 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