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楼主 |
发表于 2008-3-18 13:10:54
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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& C7 j0 O5 j" L) ^3 x4 iglobals[
/ E( w% v W6 u- yxmax" x1 w- E9 c0 o" J& R
ymax
0 d. G8 {8 o* n6 a: Eglobal-reputation-list. X. w6 Y# i# _5 O8 k
! y# Z9 r, W8 e( g; E0 P- E! R
;;每一个turtle的全局声誉都存在此LIST中
1 Q p8 p7 {* i5 \; e! pcredibility-list
" y8 t0 ]( o1 j5 g" ?5 E9 \2 p* P;;每一个turtle的评价可信度; r/ G- I( V6 c% |3 {& p' @
honest-service
' P/ `8 j$ L0 S/ ~3 v+ w4 Nunhonest-service0 j: ]/ r" D: t' \! t! D/ S
oscillation
+ w" y8 R$ V' b& I; v* ^! brand-dynamic
& K% g J3 ^ g5 l]" c G- ^; @* W, [; L; c/ J
- ]' j/ o- i N( w6 j# }
turtles-own[
% X* G( k0 }7 X/ a, s4 W# xtrade-record-all
# [# t5 \" k6 U;;a list of lists,由trade-record-one组成
. N" p7 \0 b! B/ |trade-record-one
* h. J4 M4 N0 c) n, i' L0 ^ d;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
7 g* |" l7 t5 n( V: Z4 t3 S' Z9 Z g& ?+ ~+ z
;;[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]]% `) @ V0 T, D' r0 P1 E4 L" }% D
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]- ?3 x9 C* f- f. 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# j; W# W" b% l% L3 g# G
neighbor-total
$ h. \, {# H6 b7 q4 y' k;;记录该turtle的邻居节点的数目) Y: W \, Q( }
trade-time8 R6 ]6 q) O' P" ^( y2 C
;;当前发生交易的turtle的交易时间
9 f: X$ ~& r+ q" J9 u3 c$ Uappraise-give
6 r) l r% N9 E/ N;;当前发生交易时给出的评价! T. H- u2 z6 M
appraise-receive5 Y) o" p; ^7 C5 c4 W+ `( |0 ^
;;当前发生交易时收到的评价
# L7 U* J1 U+ ~! _: h# xappraise-time1 P6 ^; s" Y% C s- Z& D
;;当前发生交易时的评价时间1 s5 j, Q4 {+ ~4 ]* ]) \
local-reputation-now;;此次交易后相对于对方turtle的局部声誉& W. S& E/ Y/ l' p! J
trade-times-total0 K, K$ h# |% c. `' @
;;与当前turtle的交易总次数
6 p* U! [& e8 v. W2 f/ ]. Wtrade-money-total% G/ N9 A0 A$ E' |; ~4 o( p
;;与当前turtle的交易总金额1 f% Z9 B8 j+ f. X5 h) y) L; [1 b
local-reputation
, ]8 I; X8 m; s# C& Rglobal-reputation
+ K% b+ V; R, Q+ jcredibility6 W2 t. H1 C O+ H% q
;;评价可信度,每次交易后都需要更新' Z. K4 b; W) E( T
credibility-all
0 H, ^) e& {# ?) Y4 m) e# };;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
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, L1 N& b# ]' 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
( O7 @& R( G* k; {. L% Q* Qcredibility-one0 N# g b* c( q% H
;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项# ~: C( B J# h; m q8 s# Q( d
global-proportion- I _" {! V1 O9 V
customer: @+ ?* E! F0 Z, u3 ]
customer-no
% d- Q/ I, z/ x" V ^ G" {trust-ok
8 m4 G M9 _$ m& o |1 c" a8 Itrade-record-one-len;;trade-record-one的长度
, {7 z! M) P7 r+ C& k# V) R* a) s]8 u w2 S- x1 E- U9 Y% @
: _' M/ a8 q" r2 q1 l' u" T: o
;;setup procedure
. r' D+ R& J3 a3 F0 K! ^% C) ?' e0 i) e* U1 M& {5 H
to setup
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i& M* U# q4 P) W* _ca
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, O& h7 p! f- Pinitialize-settings% L9 K* ^) V( _9 Q4 V
2 k* o; }9 e) Z: ?& X5 u/ L0 W
crt people [setup-turtles]
& s; `' p) y, p' r) m. F, N# }) K0 c. D% m# ~
reset-timer" [6 \* g+ \2 ?! S0 Y! F
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poll-class
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- k5 y: F% x/ Xsetup-plots
- k( n, j. i0 k" _: U( r9 Y
( z+ A8 Q; d7 ~4 { N( [do-plots
- t9 C$ P& M6 m8 ]end
V( C: v! }* G4 f4 `
* Y: m# \( b, ^6 A8 M! f7 Kto initialize-settings/ V; p& j7 p$ |& |5 G) j, J
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set global-reputation-list []' P; ^9 e' g- W- q
0 h! G: q$ c+ V/ L$ [
set credibility-list n-values people [0.5]7 o) ~! P* n" K, P+ T6 Y' N! v
2 N. B6 X; p# F( y+ w, ?/ kset honest-service 0
5 V' O, F( I% Q H! f& z. e" p: w' Q& j9 Z+ w- {# i" M
set unhonest-service 0# C4 `1 I7 z# {
4 o) Q0 `/ o0 m( J" p5 q8 O, N# N& rset oscillation 0; J: U9 F/ @2 `
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set rand-dynamic 0
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9 Y c/ V; q" a4 o
to setup-turtles , K; _/ h$ j/ _
set shape "person"4 M0 c- k, {3 [, K
setxy random-xcor random-ycor, g \+ q& b% [4 S) I6 l Q
set trade-record-one []+ z# [7 d9 }8 |3 F! X) F# s! r# I
% e/ U' W9 c$ J3 O* X6 V2 Eset trade-record-all n-values people [(list (? + 1) 0 0)] / y: x1 ^8 ^/ n7 |" y
* j: r' D) Z4 X+ E. p9 H+ F" R% uset trade-record-current []; y X' x- s% ~! Z5 b9 c9 z9 f
set credibility-receive []) t! T/ S4 s9 N, e
set local-reputation 0.5$ i1 ^5 L' D% s0 I
set neighbor-total 0
" l7 L- {" h* D4 pset trade-times-total 0
o3 c S' _2 o) [set trade-money-total 0: R% A3 c6 C; ~* `0 N
set customer nobody( r* F# f( k& v* O' c, ?6 P% G
set credibility-all n-values people [creat-credibility]" J! Z, A8 c8 B: ?
set credibility n-values people [-1]0 f" P* U+ D! Q+ K8 }
get-color
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end/ C& G% R/ ~/ b
! m) ~/ T1 b# M& q& }
to-report creat-credibility
, L6 h8 f" W$ \, [. H7 Nreport n-values people [0.5]
& q( G9 V! m+ O$ u2 Tend
4 r3 F# q7 d! c9 L& F8 e& `* c
@) Q/ ?# }+ P, Pto setup-plots @8 Y# g9 l9 R$ Q0 U
+ S" I ]" H0 |. F4 J- ^
set xmax 302 F; q" s, I; c* H& l: `
# p0 ]; Q3 c k H
set ymax 1.0& c) W8 E' M) M
& ^8 h9 J. t8 o; P2 w+ O5 b: w7 S$ M8 dclear-all-plots
+ c: q, C8 P. ]$ @1 Q' r2 p( l, M, z8 g7 x/ R! t
setup-plot1
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7 K& d5 X/ q* X) jsetup-plot2! I2 p- Z, h q3 p, n
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setup-plot3
' X1 ^+ m0 r; ~8 S {8 c6 Z wend \- I3 x$ |, }0 C5 L; `# X
9 n" A- p7 x6 ~2 X* B
;;run time procedures& N( ~% l# n+ i4 G
9 _, Y' ^: [7 i3 c% b( C- B6 A+ u$ j# P6 `to go5 ^, J* m; y' l+ j, o, N
$ d. O; a# }0 V% A6 N* ]+ R8 w1 P3 v
ask turtles [do-business]# H+ C' B1 ~8 O8 D; C( o6 t
end# m" k# [3 I6 @# o3 ~
3 |% A* a# r& G9 F. l3 v( f, ito do-business " A8 \$ }8 K9 m
8 v/ A3 z$ b1 M2 A- ]( [! H" d; F5 h9 ^ S, g7 x
rt random 360
* @3 @7 ~7 k+ _9 r+ g8 W: d6 r* f
fd 1% d- `( a i/ ]' z \) o% k
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ifelse(other turtles-here != nobody)[& Y8 H: |1 d) \) ]; }. K
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set customer one-of other turtles-here& t9 ^. T3 V6 p% L
: a" p) F' P, r) @;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
/ s9 m) O( l- N# z2 E2 V. @[trade-record-all]of self
. ^0 v7 q" m! ]5 _8 X, z;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self H# A* l( L6 t/ t$ H3 \
* e; c! V P" d" X, ?set [trade-record-one] of customer item (([who] of self) - 1)
- H- n( H- S) i7 E5 U; z[trade-record-all]of customer6 W6 J' u( V) s5 Q& K# A: L
4 d' a7 t% O5 A4 A3 U7 r0 m
set [trade-record-one-len] of self length [trade-record-one] of self
2 b$ t2 ~2 q2 g& U% ]+ a4 ]; w0 P, g C) z: s# p5 H7 c, |
set trade-record-current( list (timer) (random money-upper-limit))' l" _; N4 o$ t' c5 {
2 y8 @% D a% ?- K2 A
ask self [do-trust]
% M' |7 _7 B8 w( ?;;先求i对j的信任度
3 W1 Q- q. {( x) R. w
3 u A1 D4 X2 B' f1 j% x6 vif ([trust-ok] of self)# ?- H4 s3 A- V: Y& B
;;根据i对j的信任度来决定是否与j进行交易[: R, m* x' C( |
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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' ]8 T N" M, J/ _ w& E' D
do-trade
* _& H5 q& G' s; ^: u
4 c3 ?% g" ]! Y8 ~, Qupdate-credibility-ijl' g" M" s5 @8 b) M- R& g. b
5 Y9 S# l6 O0 p* \2 n
update-credibility-list: ~: r, c. J1 f) ?" S) d* d
7 i% k; Y* W9 l' Q# T i, h1 b+ W1 v0 }
update-global-reputation-list
; w( {- j" p3 v5 K
. r. v* X; L3 s7 T9 Q2 l& jpoll-class
R: { A$ |5 \% ^4 _- O/ i7 F# w1 A# v& ~' \7 s6 d; `7 s
get-color
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) ], u& ~7 k4 A]]
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;;如果所得的信任度满足条件,则进行交易
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. k* M$ B( ]2 B) D# L' P[
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7 _: b; S8 `. f/ }; \8 X! N, C1 {; Srt random 360
) }: R' I( f/ E- G; M
; @, q: r+ H* O3 I- r: Vfd 1 g) D! Y2 I4 A3 j3 R" B
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]7 ~3 y F5 c; F: S; y V
) l+ q/ d X3 y \7 | H& \& {end3 [3 A; P/ R& o; w& \9 k
" n/ o( Z4 Q3 {+ j! jto do-trust
/ ~: ^/ V+ L. B+ Y1 rset trust-ok False
- Y/ c- f2 @# F) S1 h" O7 g( W0 S) O0 ^
/ F) G' X6 A( r& t2 x; w7 \let max-trade-times 09 k, V. c/ W8 c/ j1 G6 r" F
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]$ }' f+ S, M$ p' a# \6 d
let max-trade-money 0. b2 x+ b; R4 I+ b7 d
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
7 T8 r/ m! m' w- b& Wlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))" g: _4 L; m2 {
3 |* [4 V& C. |7 f Q# j+ X( l- i0 l" V2 A( y4 n% t
get-global-proportion
7 | Y$ Z! m' ~let trust-value
& x+ O1 C2 g% _( n& D" k! s' Klocal-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 M! J" R& Q+ D( D# g/ |& l
if(trust-value > trade-trust-value)
' e/ A( r5 t2 h[set trust-ok true]
7 Q# Q E, `( a5 _7 Bend
8 L: z d( M+ L" Z r6 O0 |* x& v# T5 i! a$ Q- b( o
to get-global-proportion
7 O: S+ S" ^4 a4 J' a1 ] W0 \ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
. }4 t4 [0 I7 |# N3 A7 [[set global-proportion 0]
: u' c$ n; r& r3 @, q[let i 0
$ D- y" S5 S0 U' Zlet sum-money 0; e8 H6 z& S) M/ Z; k
while[ i < people]% E- F" r8 a9 n4 ]
[- J6 L# |' `$ m# W' |2 s" j
if( length (item i
/ v0 W0 `3 a1 i[trade-record-all] of customer) > 3 ), z; u2 y3 c0 b6 W/ M, P; ]
[
; P# @1 M4 k* y Bset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
% y1 g9 w0 o8 ^' q# N]
, V0 }' q+ W# ]' P: n]; h% }6 ~; D5 T z- j
let j 0; _1 |! F& u1 F2 y# x+ ~
let note 0
2 l: O8 n% K3 ]( R9 Kwhile[ j < people]
% @' Y" P% S; X- J3 ]% Z[- v, a3 y2 n+ S& D! E
if( length (item i# E1 a) {2 M; i1 A9 L$ C
[trade-record-all] of customer) > 3 )4 D) t. j' \* i7 x4 z; ?6 P! e
[
0 ], Y7 |7 @: X. `' i* Q' Tifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)& m& z9 A! L% M- J. E" w
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]) W8 ^$ o- Z: g% @- f+ T* j& P
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
4 F# \$ d& e2 k4 {]
5 X$ y! Z' J. {$ a]
0 h8 s3 V3 n4 k- D: J# E# iset global-proportion note
' s0 d$ o8 G0 e$ r$ n3 Z( U]$ u) r! ^& Y; y" n. q
end
: o/ |9 c5 N( E2 a( k' E b& [+ R
. h: w' k0 i+ A2 [to do-trade5 G ?5 k) Y! j' ~' Q- b
;;这个过程实际上是给双方作出评价的过程
8 p7 [/ B' ~0 |9 u1 W& ]/ \, Aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
3 t8 B/ U/ L. ]8 D; Xset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价/ c, ]: a9 _# q t3 u e+ T1 O
set trade-record-current lput(timer) trade-record-current+ m( x5 z# m- g5 @- H6 P( X
;;评价时间9 s t: ]) [9 g
ask myself [
' m6 M: }) M! ], rupdate-local-reputation2 {; `) `, S* F2 d
set trade-record-current lput([local-reputation] of myself) trade-record-current
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set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
: p' B( C3 p6 Z$ P;;将此次交易的记录加入到trade-record-one中 ~; L1 l! Q* O: S/ i
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)$ c7 m4 W; t( n) B: C6 z0 M
let note (item 2 trade-record-current )
; }- F7 S% v1 V/ R j3 v2 y" Xset trade-record-current
; K5 U3 `8 S' V4 n1 I y& M(replace-item 2 trade-record-current (item 3 trade-record-current))
- h9 c* c% ^' q/ Y- ?! T3 O- _! w: K: Eset trade-record-current% P& q) A+ y& u+ f, G
(replace-item 3 trade-record-current note)
# ^, S0 t( B5 Q9 Z$ i( @' T. b/ p! u$ F
1 x! t& m2 ~# W; _) @3 q
ask customer [5 p; A, q5 v; [+ T, u' o- K
update-local-reputation8 ]7 Y6 X. l# K+ S, n
set trade-record-current0 C' o9 X. w' Z" \! b8 ^
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 O1 _: x- m0 f9 K% P1 a, c
]
; B; M9 L. f$ R( k" Z3 x" w. F/ v) m) s5 j/ l: P3 o2 |
4 [% P7 n, Q/ R" W# s% hset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
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set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))) Q- G; K- \- p2 {, r; |5 n
;;将此次交易的记录加入到customer的trade-record-all中8 Y7 `( ?/ k1 ?5 H/ L/ l
end
& i! W; G } L; M
- {- X/ e. q9 z# Z0 Eto update-local-reputation
+ m# r! k$ @0 K% ]* Nset [trade-record-one-len] of myself length [trade-record-one] of myself
, n. k& ~/ W8 x0 A! _9 o, T3 E
& H4 \- S6 ]" E8 B, d" l* f' w9 \0 o
;;if [trade-record-one-len] of myself > 3
% ?, r- w* w9 D0 b$ r) mupdate-neighbor-total
2 S. T* T/ e0 I6 g2 K;;更新邻居节点的数目,在此进行
1 h+ L3 T7 `% Alet i 3
$ V% N0 Q' S% b0 \$ a$ zlet sum-time 0
; f7 K0 A- {- n% U$ i5 ywhile[i < [trade-record-one-len] of myself]
' Z) C7 H. w1 q2 S. N' z3 T/ l[
: ]7 N$ {$ X; _+ F$ Gset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )% I9 \% C8 n; `8 W; v
set i' o# B7 [. c/ U" b/ ^
( i + 1)0 x# e0 l) x$ [" O, o/ I
]
( K0 i4 t4 R" j3 j M d% hlet j 3
- ~! Q) O: z/ ylet sum-money 0' ^: V# `/ j! b% W A8 k
while[j < [trade-record-one-len] of myself]3 G5 g5 t0 D1 a: i
[
4 |) @3 D* T+ e3 sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
# [) n3 X7 R3 V+ O$ \4 bset j
$ h* V+ x, j7 x& t* f( j + 1)* z+ }# B" X0 [. W, d) f
]
3 U5 M) k- g; s1 v* X s- zlet k 3
. n- n+ h' Y- \5 O$ Q5 a5 _( tlet power 0
. P" j% i9 ~9 l$ M% ?let local 0
* ~( K1 ~' }# u7 U( I5 Iwhile [k <[trade-record-one-len] of myself]% }; R# S/ S) Z( X
[% z5 n7 j2 P: |0 @
set local (local + (item 0 (item k [trade-record-one] of myself)) * (item 1 (item k [trade-record-one] of myself)) * (item 2 (item k [trade-record-one] of myself)) / sum-time / sum-money)
1 \9 E3 ]6 n# G. R3 `6 G# L$ ]8 pset k (k + 1)$ x" {! f% s) y
]
, E9 y; b& N# e" Nset [local-reputation] of myself (local)' j6 A+ r* r! k) O9 c3 p# R- r
end
' o& ^; g# m7 ? P% y5 r
, ]% @$ V/ Q: G3 V3 w6 z8 ~to update-neighbor-total
6 k7 C& ~, z% a4 W+ `) C
4 P% W' @+ J7 x- y E# Xif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]4 i6 j$ \) C" d
$ [/ o* C) q% Q, f6 y
, o4 F0 ?; f9 m: z% fend9 X) I* R" g- ^# H( O
$ w8 }: w2 ?! P4 n4 w1 v
to update-credibility-ijl - Q3 Q6 h3 O% M
0 j3 ?) z( \( j B/ P;;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。3 F' t/ I; X% {; p/ F
let l 0
9 e% V [" }' y' u3 s8 Nwhile[ l < people ]' s. o) j" X% s) x. L
;;对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2 ^) z, D$ ?/ f* T$ G. N8 W
[) Q9 K" D; n3 a2 j
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
7 q& Y2 ]8 N: i% r' iif (trade-record-one-j-l-len > 3)
8 c8 k/ M) A$ ~3 x$ L[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l的trade-record-one% k1 `, g5 V u$ ~
let i 33 O n% E( e/ g- U2 W8 c6 {# ?+ B
let sum-time 0
0 [, p( s* }# S5 Y$ pwhile[i < trade-record-one-len]( V; q/ t+ p n+ O1 c
[
. Q6 i+ B. D8 w7 x/ Bset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
4 U9 u# U! p, m! p9 L8 C9 Gset i& p W9 F9 P7 R! R8 u& S0 ?
( i + 1)
( h4 H$ ?" z* E. k( ^# e) t+ ^5 k]
% w6 H4 |: }: L/ D! i6 Q: Elet credibility-i-j-l 00 [ t( w3 V9 Z: F N2 C5 R
;;i评价(j对jl的评价)) s) h6 p- r* e+ J" i/ T( [1 L9 A
let j 3 m: Q; Z9 R2 q6 e
let k 40 }* _8 q+ t2 Z' k
while[j < trade-record-one-len]
' @4 o( G: V6 x4 D1 A( }[% r/ n5 f0 I) g* C' o T9 \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i第k次给l评价的这一时刻,l相对于j的局部声誉
0 P# l% ]; o, u0 ^' F7 C8 }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)2 @8 s/ @3 U0 }, @% b/ K9 n
set j$ m+ h7 c6 Z" E* O
( j + 1)
0 `" W7 N, R o; d! i m2 f/ J8 p]5 Z& l, H# d4 a& k! `. j
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 ))
% |7 N* H5 {7 w
2 e5 k+ {. `% d
# F# w: P( A6 h" L) t* h ?1 hlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
( E. w% \( f) y/ V5 w& Q4 {;;及时更新i对l的评价质量的评价
3 j. \8 K% j( |8 w2 C) [set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]# _% N7 R9 |3 _' Z
set l (l + 1)
! \% v) @* F! \8 r. H) z2 Y]' u8 Z ~# _" q6 J: T/ I
end9 n% O k2 l: r9 S
* Z9 ^8 N8 m I/ o( T3 z$ sto update-credibility-list( j6 w0 Y1 @, h: Z6 T$ M
let i 0) s/ Q$ x5 I, v0 N7 y! S5 L
while[i < people]
: @2 L* D0 P+ y3 e- a. k[, Y- ~; }' E" Y3 w: M
let j 0
5 H7 N. | S7 d2 Hlet note 0. X/ P9 T! Q( g6 e
let k 0
5 v4 v, l- B0 W! x; g3 z/ Z: G;;计作出过评价的邻居节点的数目8 _! a5 W# @7 u4 U
while[j < people]$ s G! |" A4 m2 Q6 E' D' w5 x
[
6 v1 C* w& n3 d" b, O! qif (item j( [credibility] of turtle (i + 1)) != -1)
8 ~0 \* b6 D$ m! I, B;;判断是否给本turtle的评价质量做出过评价的节点( k) }/ a* q; [7 Y& Y4 s0 w9 J* w
[set note (note + item j ([credibility]of turtle (i + 1)))* H" O* J1 b* E6 \- o8 K2 w
;;*(exp (-(people - 2)))/(people - 2))]
! M* }; u3 c0 D( f% P4 y4 T$ B9 e0 `/ Rset k (k + 1)
9 U/ ?" |6 R1 r, w# L]
, [& J# n, @$ H% o# G- tset j (j + 1)( [: M) Q& N) O' L5 m
]# a& l8 |7 t( A8 V4 V6 L
set note (note *(exp (- (1 / k)))/ k)/ }0 K2 \( T% }2 ?: h y! _% W M
set credibility-list (replace-item i credibility-list note)
, h" @; d- O( I6 q; Aset i (i + 1)
3 j, S: z/ @3 O# N]
0 H/ {- w# g( C$ }end
6 g4 R( z; {6 {# {
3 U9 l; A6 P& @2 R7 K5 tto update-global-reputation-list
4 V8 z2 Y3 g$ T i2 z. f- b' ilet j 0
) j2 T: l/ ^# d* f9 I b/ @! awhile[j < people]
! T, m# }2 l; U0 t2 O5 }0 a/ i[9 s3 X ~1 I+ z/ M. g$ c
let new 0
" z, M1 \8 s, G i5 E;;暂存新的一个全局声誉9 u/ o8 _+ B7 e8 B. `9 s+ e
let i 09 L8 B6 z. [8 x- |4 c5 |3 |2 c
let sum-money 0
3 _+ F! D5 K! l7 Dlet credibility-money 0: T% i$ k4 J0 ?) }: O
while [i < people]& g" Q- S2 n8 ^( d% G! a
[4 ^. p; f$ Y& B
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))6 _, U2 G- Q" `. [& ~8 v& U
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
( y, ]/ p0 |) hset i (i + 1)' F, b& B, n+ o% a5 a- [" |, v
]
+ E0 B( t: b- u2 O( T# w2 N' \let k 02 D* u7 Y; p3 ]7 B' z0 g" E
let new1 0
- G5 Y( t1 n8 L/ K) e2 {3 xwhile [k < people]8 Z* w2 Z; b% a$ {5 L3 @
[/ z( F& p% ~( h
set new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)& L; Z# ~; |3 @: E
set k (k + 1)- O( ^ l$ V; k
]
' h* m$ F: ?# Jset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
8 q' s- Q% d4 U5 ^: Z, n7 x7 Eset global-reputation-list (replace-item j global-reputation-list new)
1 f6 E9 x [4 }set j (j + 1)8 A- ]$ \; D2 _& u. n- Z
]
3 A# \# b3 R3 q9 {end
6 m2 H* J7 y& z C% o$ ~
9 ~, c& G5 J8 b O1 N" G6 O( i: s
" U- O3 ?$ m+ yto get-color
3 L5 D1 G- X% T4 Y' L- b o l; j9 \) E" t3 L: K9 n+ a2 M) [
set color blue! u7 k, Y' e* D5 i
end
. A3 K) r5 ?0 r9 ^6 l. k2 f# K: i3 g" C3 R g3 M3 D
to poll-class5 _% b7 Z3 @1 t1 _( U( v- m2 D
end6 J$ q V! D0 X/ W d
( q0 U$ L' y9 n- w+ I5 g
to setup-plot1$ p4 }& S6 @2 _3 D
3 |! O$ X4 k6 h N7 m0 c' z. iset-current-plot "Trends-of-Local-reputation"9 P! L# q- q' T, h- x! v6 I
2 R3 h- r, c5 z/ C- I+ {set-plot-x-range 0 xmax
- b& A9 B, [$ F& {- Y# c! q7 |( H0 q" T N* y+ G4 F
set-plot-y-range 0.0 ymax; O' o( z" }% T7 P+ b
end
1 S# R1 J; l3 \' r5 H3 a
. O9 c9 v1 V$ W' |to setup-plot2
0 p) r+ g% A. M2 [! H1 j; c: `! o2 s9 W2 {
set-current-plot "Trends-of-global-reputation"* f) L! _5 D& @( V' H9 @& j
/ Z% g" v: `. G* ^5 j3 @" x
set-plot-x-range 0 xmax% x L/ d9 s( i8 b
1 f8 R2 Y1 v9 d9 C
set-plot-y-range 0.0 ymax) I1 W% B9 y# Z
end4 S, w6 L( F# U. i. K" N8 ^
# I7 G4 y! l) o4 t4 _
to setup-plot32 D) u R1 a! l4 p( u, ~0 {
7 j x; Y7 l# _) i: [
set-current-plot "Trends-of-credibility"
: G3 h* X1 K" B' d- k
5 W' x3 ]- }7 g. aset-plot-x-range 0 xmax
5 Q! c; Y! F; h6 a7 l. ~6 [
$ x% J! Z6 J4 n2 U6 p/ dset-plot-y-range 0.0 ymax) n; ]+ h6 g |; e3 `4 m }8 i) G' H/ U* p
end
* @2 \0 ]# @5 p: q
) x( x; f! H8 {. d7 Eto do-plots
5 F: N, R( m1 I: b" c: Z& Pset-current-plot "Trends-of-Local-reputation"- j) A5 t$ i' \+ ^- {) f& N
set-current-plot-pen "Honest service"# u: R# h9 ~% H+ O; P
end
, o) w( g3 y9 b- l
; C7 u" J: Z' T1 `9 ] O7 j[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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