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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
' J+ b) X( _, |, p aglobals[# R4 Y3 @/ Z% e( M4 t
xmax: j! l; F M9 |0 S$ }
ymax8 e7 i5 s: {5 V: [" u( o% @2 X
global-reputation-list
- A; q1 V" K! s& E2 N5 F, v! o. \# T* {3 W
;;每一个turtle的全局声誉都存在此LIST中0 I6 P8 b) C' `0 Q4 D
credibility-list
- _) @, T! I! I' R" C5 l+ z;;每一个turtle的评价可信度# z. X# D4 @# H* X# S! h8 u! w9 J
honest-service @% |; z: Q! y$ u
unhonest-service% ^# t9 \/ K9 S) t/ V h- A
oscillation$ K5 e: l& I7 f3 ~+ P4 g$ C* ?
rand-dynamic
. z% A7 W( r4 A]+ G7 R, B% p- A4 ?/ @
1 T+ j% X8 |; K
turtles-own[! Q9 ^' g7 Q3 ?% S- a. }
trade-record-all. Z3 r# j& J( _7 \- c1 ]/ m
;;a list of lists,由trade-record-one组成
1 j0 D/ x$ F2 J5 `( w0 dtrade-record-one8 A/ F/ x3 @% @: T( p$ S
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
8 N" {. S, P& [0 C3 ^# q0 ?" s) h r4 e) 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]]
, f. t. t* u6 h1 J1 T' @+ x- @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]
) A5 Z$ _6 L5 ]& ?% J. S5 {6 E' k/ y ecredibility-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
2 L# D4 m% ^/ W7 ]) [+ Mneighbor-total
! z) l/ I) q% R;;记录该turtle的邻居节点的数目$ X( j, v& d+ L0 L3 G- ?
trade-time6 A- q9 c3 g$ {" e$ |1 b
;;当前发生交易的turtle的交易时间2 a2 w, ]; I5 |& I# e
appraise-give+ S c* f6 h! H+ m
;;当前发生交易时给出的评价1 c5 Y( O/ @7 S! F3 H2 d
appraise-receive
9 W% a9 r0 G5 J% @; ?/ p;;当前发生交易时收到的评价, v. S" f. u/ O
appraise-time
1 g% x& C: x+ j/ \;;当前发生交易时的评价时间8 T9 u* _ g: T x# U/ r& u
local-reputation-now;;此次交易后相对于对方turtle的局部声誉( h% M" A2 z$ Y# i/ {$ }1 t/ C
trade-times-total
& }5 s' W& n2 ?# V9 ];;与当前turtle的交易总次数
6 H- b; z" H8 ~' Ytrade-money-total6 T( J! X6 x3 M( I+ J. { X
;;与当前turtle的交易总金额6 _3 w( n8 \- f8 z$ r, h
local-reputation
$ D0 i5 _; W1 i' [global-reputation
* `2 b' v- E, a/ _7 @7 tcredibility6 K) J6 @& i1 {' e, B
;;评价可信度,每次交易后都需要更新
- s! k3 _4 H/ icredibility-all
0 h. V4 \" @5 o& s/ X;;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
1 r# h, V5 B0 R" V( s
2 i; i7 _) g% `, u# f% I;;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- I7 P6 H4 u- l0 J4 G- V
credibility-one5 y( s, Z2 }+ ]7 u. G6 s
;;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8 A" }' B" \8 }% c) n! K R) \/ F
global-proportion' I8 G8 I9 S9 D3 f/ l* X
customer
3 ?: z* K/ b. j7 g& ~7 \customer-no
; F" G5 E. H J# Y9 M$ @' i: gtrust-ok
4 H/ J( i' |& `) ztrade-record-one-len;;trade-record-one的长度
, l( k; }) q, `0 `]. E: t+ F- M! [" f8 V. ]& U; E
' S7 L/ E0 A" B& |3 u$ g5 [+ o9 {;;setup procedure) b! \- _9 T; o7 ~6 D( M
' v+ u. c5 t* q- B3 y' D. rto setup3 X# v, ?' x, l' B" W
. O3 R2 A7 G% J/ jca
: p1 _! Q2 P8 a- m8 Y! i' [) V. C# [) Y) n' L4 X
initialize-settings4 @' U% D+ I& w5 A/ ]0 B
+ e* t9 g: X' ~4 k5 qcrt people [setup-turtles] V8 k3 J3 @" F: b2 r
8 p$ @9 E* N7 b6 Q- g5 }3 Preset-timer
& z3 a$ P/ M9 P! f
4 R' D/ x/ z9 z2 l& G0 |- L. Npoll-class
- }: Y: v6 j y/ ?2 \' A" t, u# c( G9 L0 r( ^0 `
setup-plots
/ A. V& a# Y0 [* Z. R' n$ @
# R" U% m1 ^) H( b( M; b7 N5 I# }' ado-plots' Y) T7 F$ K2 r0 p0 o( U4 x
end
( x5 U" q1 l+ @! I- W! P6 b, T. {. A7 Y9 T) Q! ?% A/ M
to initialize-settings. z! d1 y- r. V0 l& ~" O
2 U5 }3 ]% S! {6 i. Y9 u7 s
set global-reputation-list []
# d. q& e5 U+ y$ A% {) S2 X/ f4 r3 D: j) a/ t
set credibility-list n-values people [0.5]5 }+ i4 b2 E1 C4 k: p3 g
* I7 W7 e# O1 qset honest-service 0
1 p( s4 }, g# f2 q5 f" k' j9 O, u' z2 f& ^ o% N7 a0 d
set unhonest-service 0
8 U; A+ }- A# v5 Q! J
" B2 h& Q8 y. s* jset oscillation 0
2 P) m9 r4 I* y" A; G! ]& t
3 w/ W: w( W# ]: ?2 L `& C. Xset rand-dynamic 0# V5 I2 n$ a0 ~! L; v8 D i
end
6 C: [/ A5 C4 l5 Y* ~8 s. q/ {
5 B! n& a: s0 a$ f6 nto setup-turtles # q0 \7 H! `3 w" `, V' j2 {. @' I
set shape "person"
9 @6 E* b2 }5 R: Qsetxy random-xcor random-ycor& ^! Z+ W) W$ y9 ]) t& j
set trade-record-one [] v/ C; x0 [" V+ h) p/ r% J6 }
- h& Y6 f3 u9 S
set trade-record-all n-values people [(list (? + 1) 0 0)]
1 e6 H+ V, }0 ~9 I) z6 c3 `5 R6 Q' I0 n( W3 ~- \% D) d
set trade-record-current []
, ^: O+ P: Q" M. N8 y3 wset credibility-receive []
# o* }+ j6 { m* Y. Vset local-reputation 0.5
" ?5 c- n7 w( {& e# l8 ]! Yset neighbor-total 0; F) }4 S: l2 x1 W2 j8 U
set trade-times-total 0 U% L, [% l e& K
set trade-money-total 0* e1 p- c* R9 [, w3 a! y
set customer nobody
% t) T& U$ Y/ }* o$ _. Bset credibility-all n-values people [creat-credibility]
- [* U# O* b/ A+ B, aset credibility n-values people [-1]
" H9 p' @+ d9 Vget-color# q( V! |( a8 I1 w* Y7 M. p
# t2 x- x( O( Uend7 Z/ ]4 v6 m% S2 O5 L4 m; Q
$ {2 d/ N$ i+ U: n& B9 F4 t7 jto-report creat-credibility
. n3 O# A2 @( p1 d' p( `report n-values people [0.5]& k) p" A5 f7 J) |8 Q5 P0 ~
end
% `$ e9 A6 [' ^6 R+ ^
- u4 b( C: G2 |3 j7 p+ Lto setup-plots
. F; i& ?9 l- a# ?8 p6 E: Z4 l' M4 w
# I! w0 T. f9 T# ?8 Z) z7 ~set xmax 30
k/ V( v. s# L& ^# S. l0 D9 w; U" A6 b8 B/ N _
set ymax 1.0
9 o, c. Q, P& \* G3 I) n
* Z7 g# r3 ~- X9 {2 O5 Rclear-all-plots$ S8 T: }4 A. q
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setup-plot14 H6 l3 L5 Y' C8 Z9 Z/ r4 [5 t
( F; L( s5 o& z: Isetup-plot2; T% S) H* Y0 m. {
$ b2 q) t+ G. v/ e' j/ j3 m( K, csetup-plot3. L6 X# W5 P# C! r- e
end
( N) B+ G# [$ I: m( E# ]% ?- M0 \( E& [7 {* a0 v! p/ d. y7 ]
;;run time procedures
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) q* n: l. k. @3 \3 Qto go0 J) A4 {3 ~1 g
9 K$ a" H9 }: }* g# k/ c
ask turtles [do-business]
7 a" [0 Q8 u6 H3 @" z3 nend
0 ~& C* \. U' b o9 y2 @& U& Z9 B+ d* A2 d
to do-business
+ ~1 n( c- F Z8 D0 O8 [
. ]* b$ S# V! G% h, Y, e0 \' j8 Q' i) @* X% B
rt random 360
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+ \3 R5 q7 z6 a, vfd 1% B( P% ^: x+ {" E8 H2 u5 b
2 C7 L8 @+ s3 p+ L3 X
ifelse(other turtles-here != nobody)[
# P$ _8 ], }4 F0 t# {. Z2 y3 o* [2 w1 S( a# G
set customer one-of other turtles-here6 j6 s' B) ~) e2 C0 m3 ?* G% U, F
( p7 ^2 Y3 |3 o7 a R1 @6 @;; set [customer] of customer myself
# j. X" I2 n7 ~) m! M- o/ I! Z$ J3 z6 W& K( N7 F" l4 b
set [trade-record-one] of self item (([who] of customer) - 1)
* ^: z8 O8 W* ^' H$ b/ i- ~[trade-record-all]of self
; ]5 y7 l* \& ^0 r& X c+ \;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self# R. x) Q# [/ I2 H4 F# ~
- t* l) ~" B9 w" `0 f- ^- f
set [trade-record-one] of customer item (([who] of self) - 1)
$ ]/ {' w/ Y7 W0 T3 q, K9 v! Y[trade-record-all]of customer6 u. S, d$ f: l, c f
; m: v. O. }! I5 I! l! Y
set [trade-record-one-len] of self length [trade-record-one] of self
/ e; s5 f# G7 O T
0 u, a1 B) I' Zset trade-record-current( list (timer) (random money-upper-limit))) F( N% w! m. N) d
- U8 S. ]3 W. T; C5 `2 Iask self [do-trust]2 r1 q. v |! ?4 B
;;先求i对j的信任度
" Q# _2 `1 Z6 q, s% l
0 e' [) g$ L* G; z. b) I/ J* F+ R2 Oif ([trust-ok] of self); N+ q/ n* A( R- j; W, Q' Y
;;根据i对j的信任度来决定是否与j进行交易[
! O- `$ w: w8 n4 |" n: \( Xask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
: i6 F, n3 _, c. l! k! x4 Z a6 K s7 ^7 V
[, | [0 k- S. ?& H" E8 n
" ^! X% z; |3 I
do-trade& ~2 \4 h& O7 C* Z9 n# F
5 ] L0 w/ Q+ J2 Xupdate-credibility-ijl
8 D5 @- D' L1 G ~1 H/ x
5 u' f* {+ j, X O/ c! @3 Q% bupdate-credibility-list' ~" R4 D+ m7 [5 e7 E# c
9 ?/ t& D9 X- r0 A2 l8 W) \' X2 X2 k. d3 w5 x' g( W
update-global-reputation-list
6 Q! {. w" B8 ?$ s3 u$ ?. j `8 y- L3 z O: b( X9 B& A4 b! g
poll-class4 c) @' {) _/ _
% t: A p2 N9 _) R' l8 J$ Nget-color/ L( Q" D- N- s% s4 v; {+ r
# B' S T( j3 _]]
3 E! p' E+ g0 S4 s- G7 N4 H/ V5 |& r7 w
;;如果所得的信任度满足条件,则进行交易- `, C6 O9 b3 D. K' ?
0 _: H* e6 [( x3 o) H' y' S[, R" N5 V2 k3 x8 I
9 Y" _5 Q M+ E0 c" Nrt random 360
; y7 P- A7 @, e* p$ H$ h! Y" \+ f% N: D. H# z& N, \' k. H" S- Z$ a
fd 15 b' m$ ]+ [- ^: d, r
* J) r9 v5 L" I]; W6 `4 O% p4 b; a6 X& |
8 b7 C. ?- v9 C( ?$ R6 q, @7 B% j V" c% o5 G
end
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to do-trust
- }; f6 d+ t* }- ^* o; ?6 ?( gset trust-ok False, ^8 ^8 }; |& G( d9 g/ G6 ~, b
* v; \$ C: j8 {
1 O0 o0 d$ U' f. clet max-trade-times 0( ~$ s# W/ e+ f) r; h
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]; c9 _( K7 B1 G
let max-trade-money 0& E) O$ S# d( q9 [" W
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
2 n! Q! l6 U+ d7 ?let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
+ ~) o5 c. P' `1 \8 v8 w, B- D1 R# r' c6 B- A
4 q/ [+ \& M ~- K2 c
get-global-proportion o* \; w6 T; B/ i- q7 P
let trust-value$ t) j! n; _) O M- g1 G3 T' B L- V
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)! `0 N2 _5 y0 j" c
if(trust-value > trade-trust-value)
' o% b4 @% [1 h o; l5 _' |: n) {[set trust-ok true]
8 l& |5 c* h8 B6 R T- C% Lend
) s# ?# X6 ^; h- T; }! D9 r3 I. ?8 w7 L+ l
to get-global-proportion8 y0 b/ {) [8 d/ ~% U* R
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
5 g7 K7 s+ m: g7 `7 `[set global-proportion 0]
& n& {7 h; v, r) \[let i 0
# k3 d* e+ z+ Y9 ^) i9 Glet sum-money 0, r% r! K: Y- k
while[ i < people]& y. L' M- N8 y( K
[
: A+ X( @- {4 q+ \. fif( length (item i. M5 V+ g: }, _6 s" F1 `. y7 k) _
[trade-record-all] of customer) > 3 )) e& N5 g: R0 N+ W9 B
[
6 Q t: W# X4 P3 pset sum-money (sum-money + item 2(item i [trade-record-all] of myself))! I* } E7 ^' F* s
]
* l: M( P: H) E8 K]
# x1 j( I. Z* [let j 0, G/ b. @5 I0 Z
let note 0+ x Z' o' ?! D/ ~
while[ j < people]
1 X& H( L4 K2 j3 O; n" i* L[1 D* p1 |5 l' T$ u( i6 s
if( length (item i
5 r2 f; P4 Z d' Z% P; A) n+ s[trade-record-all] of customer) > 3 )8 t8 k3 R1 C9 o4 o" x& C7 q, b
[
. y6 f2 v, M y: Lifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)8 M) I; _4 t& Q+ n K) j/ O- y4 C
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)], I2 _3 ?2 R' \) m# c1 W
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]" L p# z; d" n8 S/ X! x0 P
]
0 V& o3 H6 l6 N6 b2 a- ?! r]
, r0 C5 M+ k l1 V- P- gset global-proportion note
: ^1 }+ P) Y4 M5 ?1 U]
% x: `4 x% j/ kend' N1 M- w% J) P
6 C' i( b# K4 r
to do-trade
- e2 x* w+ F: s4 T0 I' Y7 W;;这个过程实际上是给双方作出评价的过程
' o. y" L* c& M3 ~" b0 ~4 B1 aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 f1 Y0 w" b l0 i9 X5 i& kset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价7 j9 {% @2 k, g6 F" I y: \
set trade-record-current lput(timer) trade-record-current# G" A& v7 y; M5 M$ ]. D
;;评价时间4 U) [1 [! G# n
ask myself [
& M* J( x8 r& C; t4 B' ]+ i- Wupdate-local-reputation, [/ F% R- p6 x8 x
set trade-record-current lput([local-reputation] of myself) trade-record-current
. V* m; n" I3 I6 d+ {- j5 a+ ?]# I5 V1 P, N7 W0 ^1 D! ?
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
- s/ j$ I* b9 E% |;;将此次交易的记录加入到trade-record-one中
, p- D1 m5 A3 z4 z) `set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
" d+ F+ C% M. U8 J6 Elet note (item 2 trade-record-current )
v3 y R4 m+ ]5 m7 q H5 wset trade-record-current5 A r! E7 Z$ k3 Q: E1 I. ?, ^
(replace-item 2 trade-record-current (item 3 trade-record-current))( W! i5 \$ b' R \" e
set trade-record-current4 B/ q$ X' @5 u; j9 m* ^6 [
(replace-item 3 trade-record-current note): D9 J5 v/ t$ i! o: J
# C1 I! p8 p5 V4 O W5 Y
. @0 X9 W$ U# r# L0 n7 P8 B8 a hask customer [0 e; `4 J* G4 m/ [! G0 D9 q; n
update-local-reputation
( m; c. p$ m( j4 E u* hset trade-record-current
2 Y$ `$ b- w9 X$ S(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
7 h9 ^. l* z7 n% `, `]. O1 a7 a& q. X& {$ h, j! k
0 J! S, [! q, I
# Q! c' k7 v/ e3 M6 t% ?
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer7 q5 X. g# b) Q1 a
& p, S8 C9 F8 J1 [set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))' }- a) j* ]' `
;;将此次交易的记录加入到customer的trade-record-all中6 Q9 w( V& k. ?# j0 t4 P
end7 c2 {* S# R4 U4 _. q9 @6 o* _
( A x4 \$ s, e2 ~3 }" o7 p* G
to update-local-reputation
i( ?/ k" {8 m* I) dset [trade-record-one-len] of myself length [trade-record-one] of myself
8 J* C J n' Y& Q# m( i* V8 o; q4 O4 ?/ v+ l5 @* \( ]
/ e5 {+ X2 Y, Y0 Y;;if [trade-record-one-len] of myself > 3
# w- o: t5 A' |0 x4 a: Zupdate-neighbor-total
/ @6 n3 G' h" k0 T; \;;更新邻居节点的数目,在此进行2 ]! V' |! l+ u3 x& r [
let i 3
' A; Y4 ~6 b3 r2 R S% vlet sum-time 0
9 R& u, v" A7 o3 u) Jwhile[i < [trade-record-one-len] of myself]
7 [( z, H" |( B[5 o2 J0 r2 H( F# b+ _7 m6 v
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ): P3 m/ Q2 M) s
set i
! l$ E) I% g/ C( D2 C( i + 1)
/ O# M3 q( c2 V: x]
' | ]' m# h. P flet j 3$ q& W' ~2 v$ ^+ A, X4 A% N
let sum-money 0
$ r5 ?5 e6 O0 {+ [7 z! Awhile[j < [trade-record-one-len] of myself]
8 n0 C) _8 w9 R# y, y[+ O! G4 d- Y1 }! D7 P2 S% U
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)( k* F1 [# d% b- r$ S
set j+ @. d9 {6 u4 i9 w0 z6 |4 u
( j + 1)
! S; n4 S& R) U( i$ C]* b# B$ u3 ?2 i3 Q4 S( w
let k 3
% e! O; H/ I) f$ M* Q) P0 g, klet power 0
- A. G! Z# f6 q& ^8 Wlet local 0/ D% [' }: E/ A% f( [# S6 k2 r
while [k <[trade-record-one-len] of myself]
; o" H I/ c9 f[
( K) B( ^ |# m. Z& i. Yset 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 i+ S) }* k- Z$ n' j. z
set k (k + 1)
5 U& n' E& D$ }- E7 Q]
. ^6 `: \1 W5 @& j7 Yset [local-reputation] of myself (local)
9 ^4 l/ X; ^: M% eend
& x4 O1 E1 V8 s. _/ ?) p
* `; {0 A* @2 ~0 Vto update-neighbor-total
k1 _% M! S8 E. _
% ]/ u2 A5 P, K& g0 v( I) Cif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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2 A* f0 X+ N; ]end% _4 n A# U# t v3 {2 }
' m. {& O1 l* sto update-credibility-ijl 4 b- g6 O. K) O7 W: r2 I
) z& Q" q% t/ i! W' k+ j$ S;;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。
+ T8 y1 q W& n! n& }let l 0
! [7 i. q2 h( M) u( R: {+ `) W/ Rwhile[ l < people ]: P7 a) U8 B& f* M! z5 c/ B L3 s; `
;;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! U3 G' \! k5 e1 n/ @
[
1 Y3 Y. f# p2 Elet trade-record-one-j-l-len length item l ([trade-record-all] of customer). s, Q" x/ ]; Z6 H/ i
if (trade-record-one-j-l-len > 3)8 _8 J Z4 c" n7 j) w4 }1 P: A7 D
[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
' m X1 l, w' f* y2 |let i 31 y/ c; O1 C$ Q8 \
let sum-time 0$ T4 ?1 H/ V) @/ _/ ]6 Z5 b1 Z! O
while[i < trade-record-one-len]
, w7 h9 W6 X4 o: x5 B, r+ @# J' y[- z0 o" v3 J& g- Y# w o& _
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )3 q+ w2 a. V( D6 i, \6 l; L
set i
. ~& E5 M9 e0 M- b$ F* \( i + 1)
" J, ?# ~" z$ X+ \' @]/ E7 G8 q+ \/ Z/ r
let credibility-i-j-l 0
6 F1 Q2 c! I9 H. Q/ q- P;;i评价(j对jl的评价)* ?( I0 m2 `+ V# u& u7 T$ r4 p
let j 3 s) e7 B! C ]5 l
let k 4/ X' f/ Q7 o9 Q
while[j < trade-record-one-len]
* F% z4 Q7 l& G& c[
3 e$ d4 J0 u5 a+ Z& x. ywhile [((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
+ z1 D5 z9 H& S. v3 R+ l, 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)! n9 m8 y* D; R
set j
+ O* v O0 C( i0 `! q+ Z: q# v( j + 1)
; A0 e+ }* t) I7 v* P9 k]
8 | v- y& \6 c4 Qset [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 )), y* S+ O5 P# e; l
9 {) {2 d j u& W
6 U3 |; M; W! ] i! ?
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))/ S& h+ U& |/ \* C# w
;;及时更新i对l的评价质量的评价
7 H4 _ I( c) B/ Cset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
( R( s' ~% {+ I! j4 oset l (l + 1)! `' F; Z, X ?- O K
]: q5 J+ N6 s; Z8 h0 s
end
+ Y. S1 K, G1 f+ x/ k7 o/ v8 t& R8 l, w5 {. m' ?
to update-credibility-list
2 f7 g% U& ~; l S9 J7 Plet i 0* a( [; n, g( n
while[i < people]) l% ^' t a) E5 i6 {
[# i: \. Z, e6 S9 F2 T3 g. l+ h
let j 0/ {* m8 l5 J; p6 Q
let note 0 p5 B* C1 L- @
let k 02 l* J( C1 s; W ?! P0 i0 T5 F- w
;;计作出过评价的邻居节点的数目! z9 `9 U- W: z3 V$ a0 ]2 g
while[j < people]
& x: P# R k( s7 R. ]9 b# m[
- K" a) h: f% ^2 ^% b' aif (item j( [credibility] of turtle (i + 1)) != -1)
7 [& ]2 M0 N5 N$ D' e;;判断是否给本turtle的评价质量做出过评价的节点
; G+ N2 O% z9 ~" E! P7 B5 m4 P[set note (note + item j ([credibility]of turtle (i + 1))); O3 O1 Y; m8 i; k
;;*(exp (-(people - 2)))/(people - 2))]
4 k" u+ |; ?) p3 h% ~4 eset k (k + 1)
4 W3 c+ Y& g) w0 \. `3 y6 z]
7 Y4 ]% z: c# Uset j (j + 1)
! X9 R, @, G6 r- j+ |$ J. `. v]: \+ f1 p- @# s
set note (note *(exp (- (1 / k)))/ k)
' |/ ^ y2 }' U) W* |* W. d! Cset credibility-list (replace-item i credibility-list note)2 ]# Q* p/ X$ }7 U
set i (i + 1)
- `9 o$ q4 U3 p) ]* r8 e5 s]
1 I, n M0 o3 x# C$ s3 A, Z/ R1 Fend5 C0 K) \ Z. {9 e! u
% M0 I- u, }6 P1 M, _; yto update-global-reputation-list# D" B Q" D) ]8 J7 \; I
let j 0
) `2 x7 U5 D2 h* H% dwhile[j < people]
; W7 D1 ^( \; b! l6 o3 h[
% _# k; m; f" Plet new 0# B0 u" G6 x9 m; M) e$ X- ~3 ~
;;暂存新的一个全局声誉
4 v" k# F% L. S+ _: e; p# ]- F4 Z3 i6 Z7 Clet i 0- _! Z$ S7 q$ Z' V9 |
let sum-money 0
. \$ f6 d7 U g! S3 nlet credibility-money 04 A1 F8 B/ _ v/ A$ a
while [i < people]
' g( `; z7 a& C& G6 |) p! e[3 c8 Q0 c0 O. Z5 i
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& S3 r7 q/ Y. C: J3 h. O2 Wset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
7 r; I5 P3 f5 ]" dset i (i + 1)
4 I/ W: Q( }4 J! `! c]" w+ F9 t K1 C
let k 03 i) C8 @! C, `7 {) [9 _4 ?! H
let new1 0* B" z3 \: K& v* u/ i3 k
while [k < people]6 f h7 D( Y9 e/ W) |8 V; m# b' Q
[$ j1 b$ ^+ p' `# I+ E$ C* e% Y
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, L" u" k2 @+ S f* o
set k (k + 1)6 r4 {6 \+ L! x' K9 r
]
6 h) E% H+ E: ^set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) " O* {# q0 c% w
set global-reputation-list (replace-item j global-reputation-list new)1 I8 j: r: N5 Q2 F& s2 Z1 w' V# _1 Y
set j (j + 1)5 i6 F) x9 t8 k0 T$ `4 c
]
# x2 ], ^6 A) y1 W5 g Gend0 c3 g" a8 t% H% H
; O- |0 d. P _" [! q' J6 d) P- R
Y* O l4 g6 j
7 Z1 f: w4 I$ d9 d* y% Kto get-color
* c+ `! U* f( c3 N+ y/ d3 S, T- N! z6 ?$ D
set color blue
) r/ O$ c8 J( Z% C+ Send
% X }$ f4 ]* B8 w' p
# Y% T4 k2 F$ J1 X; c9 nto poll-class5 w, R) S' _- v9 E" a$ @& |9 S
end
. r$ e1 H; y0 V1 o1 @# {% x6 p+ g% X3 Z0 I l
to setup-plot1/ n* T9 K2 m! c }9 E
5 m) ?; M4 K, Q( z
set-current-plot "Trends-of-Local-reputation"
( I X4 J! v+ H8 z% _3 @ K- z K: b% ~- f8 t- }3 l
set-plot-x-range 0 xmax+ r) N8 r8 \" h8 O3 Y3 p
% [, E* g* w+ Vset-plot-y-range 0.0 ymax: r% W. |+ S% k, O
end
8 S9 Z% z, k1 Y+ d% l* [9 ^: F( a& }9 N( E
to setup-plot2
. c! [ }7 d/ b8 P; @8 C, F, [% w
8 T, ~- S; _5 v I. X8 |set-current-plot "Trends-of-global-reputation"4 Y2 Y$ I; H7 T/ j' o# D& s) F" n
- g/ W4 z2 y, {* p7 g( P' X! `$ aset-plot-x-range 0 xmax$ r5 ^# H8 p, z# V8 @
* y" G1 b1 b. g) _$ i1 ^6 rset-plot-y-range 0.0 ymax' T1 w4 p! k( E: d$ _+ _
end
. q/ Z: J+ n: X2 }7 S! `$ P1 r$ N; u1 t$ }- q p- U6 s
to setup-plot3
* t$ z. w5 G7 s8 m3 |/ {2 k3 I% ~6 D; {$ ]
set-current-plot "Trends-of-credibility", z; C# U9 e! G$ o
9 @% l6 e; }$ s
set-plot-x-range 0 xmax
( z5 a1 E6 s! K/ S7 w! L6 f8 k& k, P1 f- B! \
set-plot-y-range 0.0 ymax
, {+ f6 `" ~- _- R; Mend
{0 {% U9 \+ Z7 m$ C, K0 Y+ }) I8 Q
to do-plots. q& a3 v ~; H- h5 B8 u7 ^$ t
set-current-plot "Trends-of-Local-reputation"
. ^' Y& Y% u' e$ k' {set-current-plot-pen "Honest service"
' q1 \) L4 \! V) e( s* F* _- Lend3 W& S9 h* G+ d4 m' r6 p
2 d/ O% @2 N2 ~2 f4 L7 l; H
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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