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: 13794|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:1 P: L, u, m* E
to do-business - V/ j3 d7 x/ C3 j9 F2 X
rt random 360
6 N% g8 S- ~/ N/ R  y4 B7 T fd 1! V6 K. i: M6 ]  E
ifelse(other turtles-here != nobody)[% V2 h& c1 @" W$ ~& i
   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.2 \+ j7 q( H5 |$ R/ C) A% m. f! Q: [( _
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self   
( c) E% ~, ?9 R8 k0 K8 J$ ^( a6 M* D   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
0 R- ?, m$ i1 p2 [/ i: K   set [trade-record-one-len] of self length [trade-record-one] of self
# G* _5 \2 Q8 `2 E   set trade-record-current( list (timer) (random money-upper-limit))/ H( z8 |( w" @. H4 G: ]& Z! F

1 ?& ^3 D/ _7 t& v问题的提示如下:. c+ H2 H  w' A3 R* _
; |' p. t3 x* K8 C! G7 @# }
error while turtle 50 running OF in procedure DO-BUSINESS5 |1 s! U' @' Y
  called by procedure GO
: O8 v  j+ D. }: ~0 ZOF expected input to be a turtle agentset or turtle but got NOBODY instead.
' F* e' `  W8 t1 h
(halted running of go)
6 P# I5 M- [8 Q, }* r: j2 C4 l5 N0 T- {  N* M* {9 O$ R* y& V
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~~/ q' k7 s1 \' V: d' 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
0 f6 L2 L0 C% Z- W9 d; qglobals[* `. t0 h& n. j8 ~" C# ?
xmax
, M+ _& y; I( A' eymax5 n4 {6 s$ O- U; j- i2 I
global-reputation-list
4 T) r9 h  z4 L) G7 X: W8 N. D/ K
;;
每一个turtle的全局声誉都存在此LIST$ }" y# T0 U9 J% @' `2 k
credibility-list
3 L$ B; _" s2 Q7 t2 F0 Y/ h  N2 \: b;;
每一个turtle的评价可信度5 S/ x% V6 @; @. E4 R8 K
honest-service  w. A" Y! ]/ P3 E
unhonest-service
, y3 e, `! w7 z# w# }oscillation+ ]9 f5 s; w$ ?0 Y! L
rand-dynamic
- z! Y# |  |: a' o" Y]" T& O1 E2 \( p2 M" h

+ v4 y9 [8 ^3 V% _  Y# aturtles-own[
# @5 {, w9 Q; p9 P+ Ctrade-record-all0 W2 S2 i* Y% r% A( G8 z) Q
;;a list of lists,
trade-record-one组成
1 b5 S+ {# W+ E* w! c" ktrade-record-one( c6 S) f, @" ^0 i6 j; c& v2 }& E
;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录
3 L+ X, @$ B9 r0 n- B
2 i& d. I- ]- Q9 c/ p;;[
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]]
+ S/ S0 H# f- h* d+ }. Xtrade-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]
+ S+ c7 `8 S5 rcredibility-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
! U: _5 B! r% c0 s+ dneighbor-total0 h5 a2 g3 n5 T. v- a) G2 q  F
;;
记录该turtle的邻居节点的数目
6 \, [/ C5 m4 R0 A' d4 ]1 Xtrade-time) K6 f  h# K8 N
;;
当前发生交易的turtle的交易时间
3 d' ]( W5 |2 jappraise-give
6 c' v! ~* g- I  k9 h- U# R;;
当前发生交易时给出的评价
: u% a4 }+ Z1 g9 R6 }& ^( Sappraise-receive
* x( r. ^) h* j) k: o;;
当前发生交易时收到的评价
* y8 [  h+ |7 t! bappraise-time
, z6 U! U' m3 `  O4 E;;
当前发生交易时的评价时间1 k, k" H1 M1 v0 K+ f
local-reputation-now;;此次交易后相对于对方turtle的局部声誉/ p$ Q' Q% c1 ?- r3 P. w; z/ [# f
trade-times-total
& j& ^5 ^6 ^2 y. O3 |( A6 x;;
与当前turtle的交易总次数; m% b: m* b% `$ P1 N6 m) A2 h
trade-money-total( {# m4 k: D# ]# t6 R& _! R, `
;;
与当前turtle的交易总金额4 h5 M1 ^3 P* o. z- n0 I# j. ?1 S& R
local-reputation
: K2 G/ F# B, ~3 a  E% e7 a& ~global-reputation
' s1 ]  q. L1 @7 }0 wcredibility- p6 U) m) h3 x6 w+ R% v2 K
;;
评价可信度,每次交易后都需要更新
/ z5 Y" ~" b: f4 W/ c8 j* C  ocredibility-all
2 z3 D8 l# T; G0 P;;a list of lists,
credibility-one组成。[[1j的评价质量的评价][2j的评价质量的评价]……[ij的评价质量的评价]……],其中一共有people项,根据
  ]2 n) a6 Y. w5 R, Z6 c  k4 {  X( P3 Y3 b
;;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" y5 s, O8 X; H7 ^
credibility-one( w2 V1 h" @& {; F& `) j, {" N
;;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
6 w% O. e6 d5 H9 Qglobal-proportion. |! M  {; v2 N- k
customer; w( {. p3 K  `7 _7 G
customer-no
8 D' \0 U, t6 j; dtrust-ok
2 P( `% w9 D( H7 n8 itrade-record-one-len;;trade-record-one的长度
; G5 l: n3 Y8 l2 s- J! ^]
. m: H. [$ U# {& v  U, }7 j( j' U; V& Y/ e
;;setup procedure: B* n: O, A& ^2 O' W
% J8 T3 f( R3 L4 y5 F5 W1 V
to setup
! J) e. s. B- l# N+ N  p% w
" D/ J' T/ ?# g" u+ v' @. u$ Mca
. m) u/ J+ U/ q- ]3 h7 Y* P  d
* W5 b+ W/ v3 J
initialize-settings

1 d, H; R% @7 u/ A- \6 e
6 \$ R2 w. z+ O4 y" M; bcrt people [setup-turtles]
9 o$ Y3 l& G( |- L2 {: Y3 t

9 v2 |) f# s% k: E" Wreset-timer
2 M; Y3 w4 s% l- v* k7 T
( ^: `) Z5 g9 k4 e5 _5 n; ^
poll-class

+ Q8 G( X8 n: Y
1 z+ J. B" _9 v4 @* J& f2 dsetup-plots

% M: D( J8 z! k$ H0 l  Z% k
( T) z: v/ G: O! }7 T! O" t7 ^do-plots
9 F0 K5 N$ O; U/ H9 r6 `
end
* o2 V; i3 H9 ]# y. M9 G1 G5 z4 M$ @& X& ]/ Q# b/ J
to initialize-settings
8 y5 x# Y, S9 c! S  N7 @* ~7 ~1 ]* B# r, \8 C- A- m
set global-reputation-list []

. i" e- U" V2 }9 p  D+ t7 v# J- X( e; ]4 T/ K
set credibility-list n-values people [0.5]
+ y1 ?5 Z/ t$ W. g  X
% j/ _2 Q. ~9 A( M" Y6 Z
set honest-service 0

! z8 c2 L9 W& y) m* c
1 M- y' c6 p- T/ X& `set unhonest-service 0
1 n* o3 R& ~/ [- t
: }* Q2 y. X2 F' l/ N
set oscillation 0

0 |7 j5 J1 l' }6 O+ m% ~& }, R$ b1 X$ K4 V! S
set rand-dynamic 0
* M+ d0 I2 t6 H( W) ?% ^
end
- C7 ~* J7 E3 f% Y4 P7 ^) J) |, D* S' }/ y* k) `
to setup-turtles
# ^. M4 g4 P' Z# Z5 r5 s) Aset shape "person"
3 P5 R2 \, |$ Q6 _+ E- nsetxy random-xcor random-ycor: i$ ^+ r' A3 ^$ g8 P- J
set trade-record-one []
2 }5 m/ s; B4 {- C
' E7 w4 U  A( P; [$ z) R4 }, F; B
set trade-record-all n-values people [(list (? + 1) 0 0)]
5 n& Z$ k# K  w* M* G
. S2 F1 h; L7 @8 b( R* [6 M
set trade-record-current []- q) g1 h- I. C+ ?9 P/ z0 W) E6 Z
set credibility-receive []
! Y' {' d% c! z* r- }0 L  a0 jset local-reputation 0.5# O3 x9 O* T  g; n; l  A7 U( i
set neighbor-total 0
, f7 w& Z: j. P4 Z' o" @3 S, fset trade-times-total 0
- m& m0 ^$ n9 |- f% u( i" e+ oset trade-money-total 0) {5 L" g: Z3 S' v8 f1 e$ H1 f
set customer nobody  \) V2 @, J7 Q5 R! J1 a/ j2 d7 b3 G
set credibility-all n-values people [creat-credibility]( w; u- D$ D: D; f- t5 W$ C
set credibility n-values people [-1]
9 Z) T" q7 y" a- qget-color
& ?* B7 D6 _% B6 J% I

1 Y" p( q6 M2 a3 ]6 Cend
( X- j2 V% W$ j( x
5 o3 a6 e5 L* ~$ b; C$ ~to-report creat-credibility
# I4 ~1 }+ ]! T* U. k$ `9 Kreport n-values people [0.5]
8 n$ F! m6 \* L% n1 J* Y+ l7 F# tend* s5 j" w. u) a1 r1 f* P

! a+ q6 W6 ~  n" a3 s5 ^% Gto setup-plots( U* J: F! a5 D& z( ~; J; A

( y1 s0 w6 {& O- T7 r8 e/ g/ _+ K! dset xmax 30
& ^) q! \' e/ B7 r0 O% D# j

) T# c* ?/ r. C) b( qset ymax 1.0
2 G$ t/ B% n. K! c8 B$ U
2 a6 Q% P5 q4 U5 {$ ^" L8 C1 F
clear-all-plots
& y6 g" X2 j& D, g4 [
/ L5 _1 @: j( S8 `; A. K+ {
setup-plot1

1 K/ k# ?" f% `, a& h3 ?3 Q
$ h  r: I1 C) U/ ?7 p9 Fsetup-plot2

1 G+ W  [0 F+ o" {+ O
9 W( d( D1 h$ q" F! msetup-plot3

0 z6 h4 p6 ^0 Kend9 @: d. S7 G1 u/ F) I7 k

; L+ R! t: m3 F! R;;run time procedures( N. ~0 W% l% [
- @7 K) ~6 P- f( |% [# y# i
to go. O. L& h: o" n+ Q3 L

% X0 E0 R2 f8 J. N. Lask turtles [do-business]

8 z6 G, y4 h( ~8 gend
4 K& Z$ E0 i( d( a! \4 q
, G: K  V# o1 p4 l  `! Eto do-business
) q- `$ x& V. F: k8 \( c' L/ r
  [2 q) m! G5 B" G) g
1 A' r) U( u5 `0 |) g. }5 ]: u! e) R' k
rt random 360

/ ^1 a& x9 \3 {4 l9 J
' I6 n" V/ j( ?5 s; Ofd 1

; u0 _; c/ K# T9 S" J- r- A0 u! q  i1 V2 X7 W- [% y; }
ifelse(other turtles-here != nobody)[
3 o3 T! z4 G' w: G5 J; [
* ~4 K5 o+ i& N
set customer one-of other turtles-here

" N1 r3 |. u0 b8 T# m9 w: t; s, M/ c
;; set [customer] of customer myself

+ n, L0 ^( I, d( r5 i7 ^
) R3 }( k2 M# [, f' X4 h6 Y) zset [trade-record-one] of self item (([who] of customer) - 1)
) o& e7 `' z- f) H8 N# U[trade-record-all]of self) Z3 j8 p+ a. a& v
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
& Y" {7 G1 X1 K

9 k3 t! n, d! j4 A) zset [trade-record-one] of customer item (([who] of self) - 1)
* G3 w* h& j. m- T' N[trade-record-all]of customer

: L: ]% q& d0 u* y: y( E& p- W; S" N
set [trade-record-one-len] of self length [trade-record-one] of self
! g3 b, W% A- u2 S: L

- T( Q- [; t* v5 }6 X" ^set trade-record-current( list (timer) (random money-upper-limit))
) h- J/ }3 ]8 ^8 P) V
6 y9 `2 J5 _4 ^, x; o5 x0 }
ask self [do-trust]! I) Z' a1 p0 Y9 \! w: t* a
;;
先求ij的信任度
4 I# G5 g/ W, r, d% b
' W9 t! \3 T' Fif ([trust-ok] of self)
6 N% x3 Q- N; \) P+ e6 w8 F( ?3 q;;
根据ij的信任度来决定是否与j进行交易[9 S) j* q. f9 h& T) J
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
, y8 H  M0 l* j  J  c) G5 y# t6 u- X7 H3 M2 g% \# ?, }
[

+ p" ?, E/ D0 M+ p' [4 P
- b* S/ }8 T5 N3 kdo-trade

  q; x6 a0 G+ ^% d& l7 _( q4 I; g4 {& Y
update-credibility-ijl

6 q8 B; p  j. o8 |5 U! o4 P4 x9 Z' c2 X* k
update-credibility-list
% m- h. X7 _: j1 d

& j% p5 e, j, K5 C# H- M
4 ^" K. {5 J0 t6 \1 _5 E! d' yupdate-global-reputation-list
  K! n( O: @9 X' m
' J3 L4 L3 h* \+ p
poll-class

) P' @2 M- c( m1 N; |0 ?
" p8 Y: n& Y' }. n) Qget-color

( Q, O3 _; W! \/ M9 n# p2 c- i
# q" }$ {5 V# _/ A& }" Y]]
" |8 m8 Q) i; x( q9 T- e; X# b
/ y3 F* l9 d$ y" _;;
如果所得的信任度满足条件,则进行交易
8 Y5 e  B6 M# a+ D7 @' r
' |+ q9 x$ Y3 Q[

" l" m, S$ s! m6 P3 J# s9 N! i' c; k* y/ J
rt random 360
! }0 `6 W, m1 p' T& [% L

: W3 c. P3 q1 d8 ^+ Z4 g3 ffd 1

% T( H$ K3 K1 V0 h- C7 c4 w% h; @6 U0 g) M8 J+ E' h
]
- o2 {+ W7 r; [8 B! m, L0 |

5 R6 k, e8 u" X2 L8 s7 E4 d8 w8 rend
4 l* J2 K, k% @6 I

* b! {+ A9 t5 U; Cto do-trust - D3 U  ?+ Q4 D& K
set trust-ok False( g5 R. i! L9 G# o) Y1 a( P+ k' B

/ F% L# u6 G! G5 g1 ?6 c- x: K
  Z7 C8 X4 |# D; M! J9 {5 g. h1 H
let max-trade-times 00 u$ |( Y' B% G; ^6 u. X
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: g' w$ G3 T" P4 y0 w) j; V; zlet max-trade-money 0
. |- L; h* }2 s' b; {$ G/ B, h# Uforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]" _% O  F$ e9 S& X
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)). h) ~; o) i" X3 M  k) K
# [, F$ \! p- d; W; q  T1 c

: {1 [1 k- T( h) o/ N6 }get-global-proportion
! R) K) U4 R3 C7 z: d7 L: U: flet trust-value7 @: k( B5 ^7 s; ?- v' j! J  r  E7 f
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)

2 j! \& q2 ~% p% `, X/ k8 _5 Cif(trust-value > trade-trust-value)( R9 o* {5 Q( W% ^3 o8 t
[set trust-ok true]
! X' K4 j8 a! K' O* R) Q) l  z) l/ Gend
; U; Q% W# X! E; b( ]0 j+ q
* T8 H4 [# e! xto get-global-proportion
* ~2 E' m( e2 |$ E8 C9 t) _4 S$ difelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
+ C2 [4 `2 h& J+ E& w[set global-proportion 0]4 c' l6 }! @3 u9 t
[let i 0
3 @- V* l9 |" f" z! w! D- xlet sum-money 0
  K# Q5 j; U( t% J" m% V& q5 y- Zwhile[ i < people]+ x: @( {) }( E/ E8 X. i! m( P
[1 T# l0 u5 ]6 v7 {( ~
if( length (item i/ {5 ]5 s1 a+ m9 z8 e# D
[trade-record-all] of customer) > 3 )
; _1 O* z0 a# k3 l# d
[
1 b5 ?% ]5 _# F, X" ^( Dset sum-money (sum-money + item 2(item i [trade-record-all] of myself))8 g$ S  X- o$ x
]% O- O/ r" F8 H1 e
]
' x! k7 y8 }9 Q( }' {) Xlet j 05 M( i+ j$ W- B. f1 o
let note 0! B1 e1 ?) k6 D! }1 i4 I
while[ j < people]3 C1 ]3 m7 N" P) M5 F" B
[" Y) N: M- k4 e" \6 s4 {
if( length (item i, F8 j; u3 l1 {, Y* k
[trade-record-all] of customer) > 3 )

" z, b. g# H2 ^0 D7 s% ?[
1 D  [3 H; _% c4 D! D% {5 Difelse(item ([who]of myself - 1) [credibility] of turtle j != -1)4 |8 [* f7 o& W+ ?8 Y* U8 Z+ S
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]  t' T2 y+ W, L# {5 @' _+ d
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
8 D, [6 m+ j  n]+ a( \9 C" `0 M* E* ]" P7 T8 n
]
4 P# o. h( L" `' L: [5 oset global-proportion note
/ }" b) F. i5 T# A+ _. k$ K]
4 L( p! |5 B  o4 c, b/ J2 kend8 J) U8 a5 y) g
9 U0 o1 H2 ?& o6 F, b& ?4 J
to do-trade
- i1 c- \8 [7 l0 t5 C0 o;;
这个过程实际上是给双方作出评价的过程
- ]7 k% d( \" _+ H, F6 cset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
% S) Q& Y, T  p* A7 z) a$ t4 Lset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价% P/ \9 Q1 Z( b% Z, x2 |" v1 j
set trade-record-current lput(timer) trade-record-current- I  ]( J! Z1 z
;;
评价时间) S. k7 O1 y9 V# K9 E3 i
ask myself [9 T' c' d3 ^. u/ w. X5 s+ V
update-local-reputation
& ]7 N& P! h" j" O) Y* {set trade-record-current lput([local-reputation] of myself) trade-record-current2 l) |& \) ?7 g5 t7 r' w
]
  v8 }1 ?9 S; [' p" Zset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself( p+ [" y( E$ f: l9 T: p1 Z: @
;;
将此次交易的记录加入到trade-record-one5 E9 c' C# U% u9 P  {1 y0 v
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
4 x: X5 X4 x) k. ]% Q5 P% [4 ilet note (item 2 trade-record-current )
0 q8 C! X; @! R8 yset trade-record-current
/ p( c: E' e& z- ]( a(replace-item 2 trade-record-current (item 3 trade-record-current))
( Q3 P* i6 b9 G( Z+ m% {
set trade-record-current" O* c+ n$ }0 E* H: }5 L: Y  M) b* @
(replace-item 3 trade-record-current note)# k) B: ?+ Y2 ]8 I9 p9 A- L5 R

5 z( M/ \  p" X& _. y& L  R
( v" h8 }0 ?, W
ask customer [
5 S' i$ Q! G6 D: iupdate-local-reputation$ d" ?6 N2 H( ]  m
set trade-record-current2 G4 M6 ^! n/ q4 e6 U* J( U
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

: {  p6 U8 F. e. R; i& e]
3 w% }; S2 U2 R) h; r  l4 u
6 R5 W- j" F3 ~6 O7 f
" c8 I1 v' U( W5 M
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
) B" z$ ^8 K9 M$ V& R
  ?/ c9 r* j$ f1 ?# Y+ P
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))# v& C& A$ a3 D8 Z0 j& f- l3 _
;;
将此次交易的记录加入到customertrade-record-all+ f' a" y; h" _/ u- L+ e- {2 W
end
$ y5 ]& O7 z& [7 a6 b8 \# P! G3 g; K  H! j2 J( g- E* U
to update-local-reputation# n: X7 X& v3 L4 n4 P, i5 D, ]
set [trade-record-one-len] of myself length [trade-record-one] of myself
$ B4 P9 R/ `' R3 H$ q- n- M: A* I) [1 T1 x( g; F  `. ^6 R
( Z# K# f4 D: M( ^5 ^
;;if [trade-record-one-len] of myself > 3

8 t" q% I, f& H: J. Z0 H2 gupdate-neighbor-total
# O* Q+ N; ?/ Z; y;;
更新邻居节点的数目,在此进行
2 y7 h" c/ O+ _0 |" }, E6 V8 A9 Ilet i 3
7 p  I; h6 a% v- x/ w8 G6 Plet sum-time 0
) _& g6 f/ b+ J* e0 T& ywhile[i < [trade-record-one-len] of myself]6 Z. g& A9 J, E" _" F9 S/ [
[* w1 u+ ?+ g) Q. o* S  d
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ |8 C2 G! q: Cset i
; h/ L  X7 Q2 n' r7 H# D3 G- K( i + 1)
, V+ h8 R. \3 ^: l
]* W7 o, E3 ~: n
let j 31 R3 N: i. u3 `6 R# |5 {" G3 e
let sum-money 0. \/ r1 c6 q1 D) s) K7 r. e# s- t
while[j < [trade-record-one-len] of myself]
( U- s5 B  Q, b[5 w! H: i& U* f5 A9 `+ o
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)
% \9 E& w- @# aset j1 p$ Y( {% t3 ^( w' w
( j + 1)
# G1 @, I- z/ Y& X2 h
]
5 S/ t3 i, v( hlet k 3
% [+ |5 v% `" H6 Qlet power 0; o/ H4 V/ N9 V
let local 0; p4 u9 u& q+ B, [1 Z* h1 h4 A
while [k <[trade-record-one-len] of myself]0 p6 v" l- x# P0 L- f
[& F2 O+ R9 J: d
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) - C- {+ K" Q( `  E% f9 m9 Z1 \
set k (k + 1)0 \2 ]9 K) a4 S
]
/ d) d5 }. I# v9 X3 Kset [local-reputation] of myself (local)# l' F  I) E# H  l% X
end4 J  x+ U& j( t6 n4 n# B

; U! d& Y8 I$ ]/ o- X" R) lto update-neighbor-total2 W' J- t6 J9 v) V" z( @
4 _" Q+ M% G, K! ~
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
* d) y3 Y) j$ H& a
6 a5 s& c. Y* v
& q$ }8 \; f% x) p, f8 y
end) B  T9 ]1 l- d5 p8 F" `, \+ S0 d
( S) v8 ]- r& u8 @  S# {9 l, q
to update-credibility-ijl
* ?2 Y4 a/ U7 O* r( F
6 z! A8 l1 W8 T0 b7 ]0 y# q# C+ L;;
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。
  o: a* i( b& Slet l 0* Y- h9 M; [' ^$ G9 `
while[ l < people ]
$ ?, q: a2 s7 f; K6 ^9 t1 E;;
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 F6 g% J/ u2 ^7 A/ \7 o- |# W
[0 k" R, Y2 z! g- z
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
, i$ A# ?% P; ^+ Wif (trade-record-one-j-l-len > 3)
# S, v6 @8 k- {8 Y/ g[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, L; O: Q( [0 _# U/ F# m
let i 3
  L2 n/ b! n) O1 `* blet sum-time 0
; k- u& x+ P# y+ Dwhile[i < trade-record-one-len]6 l& f* U9 c7 M1 ]) K; u/ c
[/ R- v/ l) A) ~% h
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 T( y& @5 D) |" }: N/ q
set i+ o" w, d3 j# z
( i + 1)
+ t, g) \8 C# _+ _9 r) _; Y
]5 H* n" a! T. ?$ k1 u& w1 t3 d
let credibility-i-j-l 0) }4 }$ N) X  d: Q& q
;;i
评价(jjl的评价)( x4 R0 o- G& t/ I% a$ U
let j 3' c! i; t: V5 g/ M
let k 47 D; F9 o& k7 a5 |  [. {
while[j < trade-record-one-len]6 s* T9 \9 ?% J
[
" o3 h- x% G5 _* m) B7 Y+ \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2 s6 F# s  E+ d
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)# q- f& t6 Q6 Y2 @2 O) Y! Y2 m5 c0 A9 E
set j5 r- J' T8 c" a& x: ^/ t
( j + 1)

2 W0 a- Y  M- B+ G9 q5 m]; @6 W1 ]' s/ ^+ r& ]5 t
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 ))
0 ^5 u; @) e  w
; ]& z" L+ V$ }3 |$ Q" I

7 N: T  C; M2 [4 [' |# [# z8 C; alet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)): X1 p! y" [9 R: d7 U+ h0 c, A
;;
及时更新il的评价质量的评价% h6 p2 l( J! F
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
* X& l( P) h& v! u2 p/ tset l (l + 1)
6 g0 r; e5 ~7 ~1 B9 ^/ O( F]. R  a8 L6 C" L" Y
end: G. G7 l2 m9 [7 }3 y/ k& U

6 Y) V5 f* l3 wto update-credibility-list
( a% g6 a) N  x) ?4 olet i 0  f5 u' |! V  P, R2 y* R$ k! k
while[i < people]6 a1 F5 Z5 w; r! H- d
[
9 P& I: X8 p: ?7 s" n; e7 alet j 02 K9 m- ~7 z5 ~) ]1 D
let note 0
0 H* E" v/ p# o, u: alet k 0
- I% Q0 F3 e2 w1 Q* N# _4 N$ g;;
计作出过评价的邻居节点的数目* V4 ^3 `' d; X/ m2 z* h6 m
while[j < people]4 L+ q2 f( ^$ v3 |
[, O6 A+ ^; L9 z& t. x
if (item j( [credibility] of turtle (i + 1)) != -1)5 {! b5 U: p5 f8 f+ e3 ], T4 m# P- i/ u
;;
判断是否给本turtle的评价质量做出过评价的节点
$ ^" i+ J. a5 Q( T8 w$ C, y& r[set note (note + item j ([credibility]of turtle (i + 1))): A, t, L3 I* ~* A& w
;;*(exp (-(people - 2)))/(people - 2))]

+ Y) i, J$ z1 ^6 L! r+ dset k (k + 1); G0 D, E9 ]! ^6 j  K6 w4 A) Y0 x
]: n/ o  w, N, l' @
set j (j + 1)  D% y; v& b3 N' `
]
7 B  V, a7 K  r" I7 t, jset note (note *(exp (- (1 / k)))/ k)
! L% _9 a% _; {% K. U2 k! Qset credibility-list (replace-item i credibility-list note)
4 g. T& X6 @9 R0 ]9 H5 w6 B  C1 \. Uset i (i + 1)7 B8 q& o) m# w$ g5 s
]
) p, t% @# b2 d1 xend" M( H) a; i- b' R8 w4 B
( [* k( O$ p. k0 n
to update-global-reputation-list
7 a3 b) e" x# [& y% m; X+ Glet j 0
  ]$ P( i/ {/ C2 Gwhile[j < people]
/ F( x, G$ _/ ~! ^" r, v9 \2 V[
% J$ v$ p* @, j/ Ulet new 0
; g9 u" h; w# q& k- p;;
暂存新的一个全局声誉
3 \  Q0 J0 v! zlet i 0# C! l- }6 P! |5 V
let sum-money 0
( o. Z; _! p: [4 _+ k. mlet credibility-money 0
8 q! `9 k: K  Hwhile [i < people]# Y! F5 v$ O8 p+ _3 b/ u
[7 ~+ S1 |2 b9 q
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))( J( G. _% j5 L) H" p8 z
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))0 P( j# f& a* ?! B1 W
set i (i + 1)
/ }! C; {. P& g* B9 k& I% z]/ m$ ~* u! `" g" V7 t
let k 0
7 c0 B$ C: D; `/ Ulet new1 0, }3 J/ W& J2 y: J' @  E
while [k < people]
6 _! f, _7 R9 `! {! _! W+ c5 W( p[
8 m- c& n% I" y/ M9 M: L) Bset 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)
3 H: f, A5 J  p# P8 J+ o, [7 Kset k (k + 1)
) b2 }1 ~% Z$ t; B% R]6 b+ ^, x% y8 W# J
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
) \4 a2 v4 x/ ]% Jset global-reputation-list (replace-item j global-reputation-list new), z2 s% M* J( A* B" }1 h5 Z+ n
set j (j + 1)
; H/ j+ U' Q: S3 a]9 R& T# j0 i$ A4 r$ i/ w
end
6 @' e! L7 Q* o; ~7 M/ j+ d
, r: ]' `7 ^& s2 t6 T9 b9 o# {3 ]2 i% Z, E

) A; O+ I! P  W  I6 }: kto get-color
) ~/ J+ K4 C. h
4 y# ~% H2 e8 ]- _" Vset color blue

7 U9 F$ L& S3 Y: I9 J! dend5 a! h/ n; m3 |, o7 W0 M; @$ @/ Z

) f- S  X% ?& a) Zto poll-class
/ u' I/ Y  @# p/ P* x. @end
2 d4 E5 @" G) L% ^  k, n. t# B3 s, A8 \% p% a
to setup-plot1
2 ]6 f2 ^) `2 P/ Q
5 u/ C3 A* n# g5 uset-current-plot "Trends-of-Local-reputation"
. v2 {5 v4 A8 q
  l' A4 X6 G1 u9 d8 n. K
set-plot-x-range 0 xmax
2 `. a, a* G' D9 J: {( O4 q
4 s* z* e  Y, l1 K. w
set-plot-y-range 0.0 ymax

% M, |- T+ i( x! r: {. Bend
8 D7 M) o( D2 ^9 V, {3 Y5 U$ W; N/ R$ @$ u2 |
to setup-plot28 k' u5 w3 B% Z2 V) V
+ j2 o0 N  g. H9 [- T. f* J+ \
set-current-plot "Trends-of-global-reputation"
. O' O1 d- H/ I6 R

. |6 q# O1 F. n4 Nset-plot-x-range 0 xmax

. M1 {$ j9 p8 l" ?# A& O; D7 Z- X( p. R* ^0 O
set-plot-y-range 0.0 ymax

& n3 A# d! y2 k, I' G) bend
. Q. q- t: ?0 ]0 H& e0 j) B- P4 A1 Q
to setup-plot33 A: n2 y' {. O2 ~
4 U4 c# x5 B/ s
set-current-plot "Trends-of-credibility"
6 a/ q2 P4 z' S) n/ Y5 g, G
4 m+ z8 O8 S$ v3 S
set-plot-x-range 0 xmax

+ F/ p4 q; G# L9 {  a( N1 U2 U$ w4 n( R8 C8 p% L
set-plot-y-range 0.0 ymax

5 m/ n. f# p( x. i: v- `end
6 p1 C, O) f2 ]( U, W" ?2 e0 z8 e% z/ C3 G. u" W( {* |5 a  n% T
to do-plots
" c( G7 b! Q7 Rset-current-plot "Trends-of-Local-reputation"
4 S1 `  Y% Y7 Y+ hset-current-plot-pen "Honest service"
. n* s- C: w" B; E9 x# r& x+ ^) a  Mend
1 h+ b# k0 l; @; c7 R1 Q
  D/ d8 e4 \7 p+ M, P[ 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.
( E9 f: ], }. ^# V: @6 [6 g* [4 k  S* A; k' _* l* r
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, 2026-4-18 16:25 , Processed in 0.023595 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