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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
( A* T" e6 d5 ~0 s( R( Eglobals[. }1 W2 U) j) c$ F( K
xmax$ t2 a& g- x& l; u" E3 B ~# ~" {
ymax1 K4 v! g2 c, X S4 E/ g
global-reputation-list1 O, [2 K) V6 D5 I1 s
8 n! n/ {4 _1 M8 z0 h j' @
;;每一个turtle的全局声誉都存在此LIST中
2 o4 K4 b; p7 {7 W* m5 @' @credibility-list P, P+ v8 p) x& e! h
;;每一个turtle的评价可信度
3 |2 s% V9 s8 J7 m8 Zhonest-service
) D) j* O/ v9 ^0 Hunhonest-service
7 r- ?3 b) Y/ ?( m# |: T* }2 noscillation6 X$ S* v# k" a- B7 ~0 q; ~; b3 H$ y
rand-dynamic3 X1 C( `8 B9 N( [5 Q+ E9 n
]" r g+ v6 E( q6 z) h/ i
8 i" b4 W; D q! J# f+ V* w( B
turtles-own[( z* H- r; q! K) N* S
trade-record-all8 D8 f( \- s$ ~+ }6 I+ j
;;a list of lists,由trade-record-one组成
/ u9 V2 [' F' ltrade-record-one
|! _# n6 \+ ?9 Q$ w! y- o;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
4 V2 @' S0 M5 z9 f) L5 r, d3 [' `1 n1 m \; z, f" m
;;[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]]# u# S5 B, R1 @9 ], _
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 p# n$ {, n! }6 x, L2 H Ycredibility-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' N/ h v& m5 p
neighbor-total
: |( z" `8 e) B9 e0 J6 C! U;;记录该turtle的邻居节点的数目
) M) Y0 C( G1 s R: X: xtrade-time
- L! C3 Q: t6 R6 P; p4 z;;当前发生交易的turtle的交易时间$ l- a: f* g' K* U) O7 L2 \
appraise-give
, M4 c6 D' U0 T/ [/ n+ M;;当前发生交易时给出的评价- _: X4 B# q8 b+ ?
appraise-receive
: ]' A! m" g' t4 C;;当前发生交易时收到的评价% H! o1 e* D: ~2 d
appraise-time) ^* R9 u" y( d' C
;;当前发生交易时的评价时间
7 K4 Q) K7 Q% j: z' k( zlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉 i" y$ w4 R, e( w6 J- ]9 x( Y
trade-times-total
; v2 J8 W. n) A+ b8 S( Y;;与当前turtle的交易总次数
% \, o3 |4 K6 m& G) s0 j8 Ztrade-money-total
0 L3 v, r5 r% W1 ~; s;;与当前turtle的交易总金额# [3 {! W; V" l/ f
local-reputation
9 U# s `7 U8 S8 ^% A+ I# Wglobal-reputation
$ R4 D6 v5 n$ {: E7 A o! kcredibility$ G( T( O$ B3 N: F. ?- h+ g9 ~) g
;;评价可信度,每次交易后都需要更新9 C: A+ a# N$ c- B, E
credibility-all) a7 p" n' i6 P9 Y3 T
;;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7 G+ {* V1 d5 l# T
6 `( I7 ?3 W+ \6 f+ I7 _
;;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. m% t n1 a1 L) C. w, r% k
credibility-one) \5 N7 D( m* g# X" D; z, G" ?
;;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6 h3 l# i9 ~' [7 [5 G
global-proportion$ R) ^+ K% ?- a h
customer
4 ] ?0 E6 ?( @customer-no6 b) o' j, |! j
trust-ok7 C6 Q+ f w# j
trade-record-one-len;;trade-record-one的长度# a/ g! e6 O+ @6 q' a' y$ [: Z
]
h; D8 n* L! H/ b6 l( s3 w
' e& Y: O: v" S;;setup procedure- d% Q9 i' v1 K I, u5 {
, D% p8 g" `5 O& [8 Wto setup
V4 z; B, V4 b$ o; N3 p; L# E+ E/ O* w5 U7 A
ca E3 M1 L9 T0 `& s" ?+ o: l- z
0 F7 N4 i8 _! m& c8 W) A
initialize-settings
3 ~4 J; g4 \& C+ o: x3 U3 p: I/ P/ ?2 P% H
crt people [setup-turtles]* O% D0 J* {; V# T8 s; Q
6 i6 {9 |. q, d$ i5 _' N, ]! Q! ]
reset-timer
' ^& U, F* T! ^- U; f9 g7 X# T1 H/ H% L- \; y, S# F9 F% H
poll-class
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1 B# j7 ]4 G! A; i' X' wsetup-plots# ^& |) B) s5 A, X8 B- U
7 w& g( s0 Q* w' \* I8 v* l
do-plots# i' i6 Z0 X# g Y" t
end
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, l4 u4 j F# C4 n4 |to initialize-settings1 B" K% b! I& F$ H# N! S/ L4 m
& j& k$ F- N6 l4 o& Mset global-reputation-list []
( }! _& o+ F/ [# J* F w
; v/ I9 G1 j" }set credibility-list n-values people [0.5]
4 C' q8 n O! A( t
0 H* I% E3 d6 s2 X( i7 eset honest-service 0
: b2 k3 I; T! X- P" j7 `% Y# \7 @3 X
; d; N" c; Q4 d: @# D/ f( bset unhonest-service 0
! n& e" K% e7 A/ C
) {! d# e! `0 E. W% [) M: p) w r, q Kset oscillation 0
# M4 q) y2 i3 I& P' Y3 ^9 K3 g$ g5 I2 j. x: E% M |
set rand-dynamic 0+ P5 a6 l2 E* \+ P6 H+ W
end
* F$ X d1 a# ?5 c- J
5 _$ Y w/ [ S& }3 r0 O+ v6 R2 yto setup-turtles
0 W1 t' a: X) s! L' U: O" q2 Fset shape "person"% @4 X/ b; `0 |, i% {8 m4 W# i9 D5 _
setxy random-xcor random-ycor
0 P" \1 Z; ~, m2 `3 {' v4 uset trade-record-one []
- U0 t4 p% b! W! v4 ?* M2 b' B3 b& ?& ~; j7 Q3 ?
set trade-record-all n-values people [(list (? + 1) 0 0)]
/ A' T2 M. ~% P- C) W
- Y; M+ n$ C: C5 a& Q& a7 K! aset trade-record-current []( a( Q# |: l3 [" c0 {! n
set credibility-receive []
I/ W0 ?; ]8 Wset local-reputation 0.5
5 Y. M; l2 I; u" D0 Kset neighbor-total 0
: i+ _) _ {; K3 m+ o, F" aset trade-times-total 0: ~3 a, r% ]# {! L, e
set trade-money-total 06 i. T8 F" X3 [
set customer nobody
$ w" z) i& W3 S- x- x+ cset credibility-all n-values people [creat-credibility]
7 d' ?2 \! m; w, ?7 @' G \set credibility n-values people [-1]
$ i, b) W: e1 K% h, W. s* Iget-color
' B2 O* N( g. W) e. h0 E/ R9 @! ] Y* J# N6 x, F- x
end
& ~$ q/ L1 J0 s4 I" d6 l2 `4 { j: r5 f6 j \! @
to-report creat-credibility
/ ~( ^* c* g# y7 v$ o: Q7 [report n-values people [0.5]9 d, F+ S: c6 R5 y3 W/ P/ u8 Z
end
7 ^# A0 \2 [6 K. V
3 A D0 y0 h6 d# kto setup-plots
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2 |3 @3 U6 `2 |: g1 l1 ~) Jset xmax 307 W& b: b# q. B/ k- q* e
! Y1 D& V$ F7 j" B3 N- Nset ymax 1.09 p! |, x8 a1 b8 j/ U; [3 `1 w
. g3 m0 s. c Q& l" v( S- Y4 A5 n
clear-all-plots N1 f7 a( t) t# w% V% J
K$ X) c, t, s4 a% t! Y; k
setup-plot1" g5 r! v, J2 I5 H& p
& t* K) q0 H* m4 q; jsetup-plot2. ?$ r# K& R; E2 i) K) ?
( I. m p* \, ]2 j3 Z
setup-plot3& b: D" T! h2 v. a% Z& N4 g' @
end
% X- J {+ l, g% X3 M4 _
6 O+ k% K# f3 a1 y$ X O& x' K;;run time procedures
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) P# t" w" j3 F' K! M6 Zto go; d0 L+ d+ n1 A, t9 D1 A0 ]
# K( o8 u9 [- X) u- K
ask turtles [do-business]. Y& s1 c1 C) G+ ~6 e
end1 {6 B$ c9 u) K, ~( s
; k$ Z# i* g4 A: r+ Sto do-business $ W$ w0 S* K* }) F) l8 n
8 d5 W. P: d# e
4 j& n, z* I# P- _+ ?rt random 360
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fd 1" G7 W ] D" m+ ?9 Q
0 A- N) J' U, L, V/ H: H! {) F4 w
ifelse(other turtles-here != nobody)[- Q! R' w- |, \4 ~. r$ K* Y
' |$ u8 m; U$ ?set customer one-of other turtles-here' |& {- }& V; U5 a& r; S
9 c/ Q7 y5 \: X: \! c
;; set [customer] of customer myself/ r* O9 ?$ I4 q+ y t7 S
. b/ d$ U) C! o' q8 ]set [trade-record-one] of self item (([who] of customer) - 1)
2 o$ E, Z8 W, a9 ~6 S0 t# w- f6 d[trade-record-all]of self+ V- F' A; L3 d
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
9 p" s! [( Q/ H7 w+ L; \5 {! V6 x2 _
set [trade-record-one] of customer item (([who] of self) - 1)
% g2 t3 O. X' p0 y5 Y; Q9 a3 w[trade-record-all]of customer. A* _6 l7 P( @/ }) S
, v& U& P& H+ o! I. bset [trade-record-one-len] of self length [trade-record-one] of self
k# h: r1 y$ B1 X3 Y# w$ C# V
" w% U- m5 w& P! ~9 Oset trade-record-current( list (timer) (random money-upper-limit))
1 C+ ]) h! Z) c" M( o- Z0 c6 a; w7 Z0 _* O1 P
ask self [do-trust]; k$ e) R" M8 P: u) [* |7 s
;;先求i对j的信任度
4 }; U& ~) K( A3 u6 f
- F2 |! i" e" R# B2 @) S" R7 O4 U, ]if ([trust-ok] of self), h3 q# ^9 n2 v- P' }" P, b: I3 ]+ e
;;根据i对j的信任度来决定是否与j进行交易[
5 f3 O+ P \6 m% k% O1 i0 F1 \ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
* R7 }; a0 @' m1 s/ N3 M
" u" n3 V2 v. W[0 C7 M! B& r- Y
6 O( i4 U! {5 `5 X* j5 v0 zdo-trade
4 I1 ^4 C1 u. s1 P+ _7 ?& x2 H& c- n3 l) e+ Y
update-credibility-ijl2 K9 o: u: a+ z
' P% H# n5 i* X6 ]& |
update-credibility-list, M# K* \, S: Q$ F+ }5 E
x9 n3 d. \4 X
- k6 K2 |. Q* t% z6 J. supdate-global-reputation-list* o! z! g9 v* X
4 y4 h. N& t0 D# y% w. O G) m
poll-class$ a4 q) ? Y- k% x
4 Z9 b) [& r+ C* |get-color
- e. M; j5 Z: s8 d5 J/ j; Y1 `1 {: D" h L' {5 P6 Z1 h
]]
+ y( Y: _; j) Z% `3 Q( Y
1 }' G$ n7 O' m2 X6 j, r;;如果所得的信任度满足条件,则进行交易
. r9 a6 g) s& \; |9 E: u8 D& D( O( g
( j' A$ L9 z0 D" ]3 @[
: e& q" N5 C* w9 A3 j
, g+ I. b; ]1 trt random 360& ]+ ~6 n1 B2 ?1 m
% ^9 n/ S+ y! f2 }- xfd 1( J. P s) ~; I3 _/ C" J1 a
& v" _$ K& Q# G8 C. R]7 E9 ]# u9 q7 Z# `
2 u1 d! ]9 `/ Y: m, j
end6 Z/ D( W8 l# i& d4 ~$ L1 F. j
% |. w1 W+ A" l1 D5 h# n
to do-trust % K+ F" e- h# Z7 k5 {
set trust-ok False7 {9 Q: V1 M' W6 P& T& @
: Z! B8 p: z( J3 U( ~& W4 t5 _0 d2 l6 A; j, n$ X: \' v/ u
let max-trade-times 0' P' W8 j" \% j/ y2 {# o
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
4 L) Q' V+ B1 \6 c, T; r$ `4 hlet max-trade-money 0+ O2 d' p( E, j. ^/ I* t) U# p- {
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# W, z( \$ q4 u: K2 d
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
4 }) G h7 Z& M5 [; G9 w- c9 e# K+ Z+ s" K5 @) s
9 N' a- z$ N, C$ p- n A; kget-global-proportion
0 t' a3 T; O3 V$ klet trust-value
/ J6 g4 M( D" L/ v: ~* O& zlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)+ y2 O4 b# i1 L: x! ~
if(trust-value > trade-trust-value)
: Y5 k' i) {8 o9 F7 O[set trust-ok true]' y) I$ _$ i% N) u
end) u/ E# h! q0 i
6 X8 N5 k8 Y; o: {- U3 F; Zto get-global-proportion8 a; f8 F) L; V
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)" Q* G, z3 a1 J6 B/ Z
[set global-proportion 0]% x5 b, F4 I5 \4 \( X, W2 I+ W8 q
[let i 02 ]# ^7 Z/ J1 F0 b& p; H$ K1 G
let sum-money 0
! n1 @& T4 B% \6 Rwhile[ i < people]6 H. @" B7 c, K' S3 a
[4 t K0 ^9 a5 t" L* Y
if( length (item i; P5 R$ w, J9 Q8 ?% o1 C9 y* u, B
[trade-record-all] of customer) > 3 )
+ t: |) r& C% p7 h' m[
4 v0 j' t3 f% h( P: |) q5 k/ Xset sum-money (sum-money + item 2(item i [trade-record-all] of myself))$ S/ N- s6 B: ^, v
]
+ s6 [, j/ w X( A9 H7 }/ h' |/ \& x5 f]! G9 H; N8 x% z4 E% r; w$ U3 n4 H
let j 0
* W$ H4 n& p5 a; i) m) z; @; z4 clet note 0
+ H% [3 T' n3 Fwhile[ j < people]
+ N3 t+ Q# `+ O0 @5 ][
8 m( p9 [3 h1 N! m0 rif( length (item i
" j* \5 B* U' S9 }. w: p( d, D# G! o[trade-record-all] of customer) > 3 )4 M( v/ N2 S$ Y/ W) Z$ {2 E' Q6 l$ J
[
# t+ ^) w/ j4 n# Q1 r( z* Pifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
# s6 m' x, e v& C$ C6 k2 M[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]$ Y( f8 `$ R: f; I/ I
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 N: J6 Y' ^0 N b0 C], v+ B6 w% F t6 f0 K# q; X
]
% l0 ~% O3 {$ _! W( qset global-proportion note5 k b9 T& t; t+ P) `
]
/ @4 N4 ^9 t! B* \end
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to do-trade0 a: A6 G. F! {. |- j' M
;;这个过程实际上是给双方作出评价的过程5 @9 `% Q j' d* P
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
2 B! r3 s7 |: P" Y- V. `set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价% |% g! ?; v4 f m- s* i
set trade-record-current lput(timer) trade-record-current
# u: i* k7 @4 y W0 Z;;评价时间
6 s3 k7 q( ^: E% _" i+ jask myself [8 T: N4 P3 V, @% b
update-local-reputation
& W0 ^/ }1 s, C0 H/ B1 e% ~2 zset trade-record-current lput([local-reputation] of myself) trade-record-current
6 ^9 l9 C( }; v]
' p# i" ~/ A0 J( K$ r- bset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
7 b' R6 `) P: u7 z& ?;;将此次交易的记录加入到trade-record-one中
8 `3 y- A4 [4 {3 ?set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself). Z+ |( y W7 K; d1 o/ ~
let note (item 2 trade-record-current )
4 m1 V7 A5 }1 s5 \/ \% B% \( iset trade-record-current
! c% j! X! f% m4 ~(replace-item 2 trade-record-current (item 3 trade-record-current))- f/ x& D+ z7 f4 q
set trade-record-current! @$ l7 v4 }$ w7 T1 }" f
(replace-item 3 trade-record-current note)! X: p5 N2 e: r5 X8 k2 B; c4 x
) w% x, i3 W q& c
6 n5 B Y4 a# r& V* Q; pask customer [- |1 z K7 @7 ~8 s% }' N; L
update-local-reputation
5 e$ e5 ~- [7 p6 i$ o* Cset trade-record-current, x* c/ |. o3 P) ?
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
2 G6 |* v( s5 E. e, k& T: q) q9 z$ x9 R]
( [* t% m1 [/ O8 a2 K2 V+ N; A, N: j2 _; w( `0 S5 R
3 \ j' B. a% c- v6 Z! gset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer5 U* {' G+ ?9 W" ~/ t, l/ M6 ]
a$ | t5 G l/ cset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
, U. u% o* P0 `% B;;将此次交易的记录加入到customer的trade-record-all中0 ^4 \9 S+ U6 F
end
9 g7 k- z% n, F5 H/ C& m! R e4 e: L: ]0 p) g
to update-local-reputation" V3 [5 B+ d Y
set [trade-record-one-len] of myself length [trade-record-one] of myself6 I6 Y2 U- Y! D& i! f# s
* ?, I0 X+ i* ?! |( r, i
+ \6 O& x; \% j% [; r' X1 t$ K;;if [trade-record-one-len] of myself > 3 / W9 b5 t) Q% a. ~" D( A
update-neighbor-total
. o3 }9 d% \' u5 K, _8 {;;更新邻居节点的数目,在此进行
7 X# L4 t- c9 o4 A& s; Y0 Z* dlet i 3% G2 L& I3 h( ?, u4 }$ K0 S$ e! y% V
let sum-time 0
+ J T. i$ D2 Cwhile[i < [trade-record-one-len] of myself]
0 }* H. ~" Z/ x! e5 A; t[9 e6 X* {( R) s/ Q# ]! A
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )! l0 {1 a4 E7 T# \
set i
& ^) d7 H2 h. Y( i + 1)7 p% d1 L4 M2 d/ C. [6 L0 [5 }
], P c! L5 s1 s; h) B: \/ ]0 `
let j 31 v6 c; ^2 l! ^* k
let sum-money 0
+ E/ @) V" y. ?while[j < [trade-record-one-len] of myself]5 f) w2 [& l4 S9 b; g# @/ x1 W( H
[
$ x/ V5 j) h% m5 F# ?+ Y b' ]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)
8 G; p4 x, i8 u! bset j% X& v b" t& X% Q5 Q
( j + 1)7 n! x5 P3 `# A0 l) J
]
5 @+ ?& K, c7 z' m2 T" O2 i1 O% blet k 3
0 W2 W3 e3 L; c4 Wlet power 0
- l3 x% l! G" z1 l2 _let local 0
9 A( K; c* m8 x9 U9 w$ c3 Gwhile [k <[trade-record-one-len] of myself]- J) e- x& V/ U# a4 E
[& O' S$ s3 A' G* _& l7 E7 l
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 b0 u) j& F5 A$ @$ |% zset k (k + 1)) e3 E$ |7 {) V
]
& M7 w/ W0 N4 ?set [local-reputation] of myself (local)6 l+ I3 Z( f! w) t0 Y
end% I+ N8 V& E5 ]; ^9 c
( w, k G+ K3 q7 c4 E, s! G" d. b, Z6 _
to update-neighbor-total
/ ]- \) x7 w1 |- V n6 m! }: T# Q, o7 R* w
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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# J2 K% M0 k7 y2 I4 p8 @. H# E
end
% i1 _4 n1 r* I
" n; z+ Q4 f5 o8 i9 m( _4 Cto update-credibility-ijl
8 G0 B' f& b5 E
* R' o2 E z6 m) \2 v! 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。
7 W/ r( B j+ _3 b) klet l 0* z8 j5 Z- u3 K% n8 g
while[ l < people ]
* [7 @7 N C% \: R;;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
1 V. g" L# u- T3 I% h: z[
. O7 G8 V% l4 C. E! ilet trade-record-one-j-l-len length item l ([trade-record-all] of customer)! @% q5 ]5 s5 o4 ]- \
if (trade-record-one-j-l-len > 3)5 N6 z- k9 {( X- K1 d2 Y" Z% [6 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l的trade-record-one* F2 D! V# s5 Y3 F& |
let i 3* {) w) B% |: m; A5 s0 t
let sum-time 0
* p& g' A+ V& w1 j; A- xwhile[i < trade-record-one-len]' M4 K* O8 C Q j; s+ H, z
[
5 ~9 c- n1 h1 Yset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )( g+ g) s" _6 t1 \' U
set i ^% ]$ L. x" ^0 h! e V9 r3 Y! v$ I# Z
( i + 1): Z: L4 p+ N5 b E
]
: o' e7 z$ f7 @" u) q/ O3 ^# Alet credibility-i-j-l 09 w7 [/ P: a. _1 n
;;i评价(j对jl的评价)% Z& p8 s" w N2 B1 i% n
let j 3
$ }; ~4 B$ N% B3 r, x8 Z/ |& hlet k 4& N3 x9 l3 ^* f
while[j < trade-record-one-len]
4 d% c4 i) M( s4 L( `[
/ }3 Z( [6 Q3 H2 ]% _/ T+ a+ y f bwhile [((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( P/ X% G$ F5 ^
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)
6 R5 N6 u8 c: \- N) s' Nset j* Y: Z4 F( S. n a9 |
( j + 1)2 d) v% {" L1 |+ {2 s' l4 g
]
4 x! @0 ?0 p9 K/ l$ rset [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 ))& V; \, C/ {5 |$ `$ i7 ?$ l4 B. l
4 l' i @0 T4 v& y+ \* @" Y3 Y/ b4 S
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
; J5 I% R' p: b3 \8 r& W;;及时更新i对l的评价质量的评价
$ E3 W; e" d( C: ~) x6 E: {. fset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
$ r& N+ C) k9 uset l (l + 1)
8 _4 `# _& @) ^], q; y) \+ O& A9 Q$ r; `
end
9 j; p. @) D$ {& Q6 W% V; i
" k6 H5 C2 `& N8 V8 z* h* S, v) eto update-credibility-list1 J3 f! ~( z3 U# R
let i 0
% n1 }! ]: u) f! H% H( Vwhile[i < people]
, U/ V4 u Z I2 t[( }+ m: x& d; Q- h4 v( d
let j 05 V( a0 G! }- }! y; V
let note 02 u# d" U2 V' p
let k 0
. G! F" z0 V. C;;计作出过评价的邻居节点的数目% F0 U6 ^- N8 x. K0 x9 T
while[j < people]
' K+ A: p3 u: |& E8 l# @$ U[
L* x* j2 H; u. w/ Qif (item j( [credibility] of turtle (i + 1)) != -1)
: T6 r. G/ T- D;;判断是否给本turtle的评价质量做出过评价的节点+ A" P% U, w# f1 _. [9 t
[set note (note + item j ([credibility]of turtle (i + 1)))
6 D; Q$ P W" H;;*(exp (-(people - 2)))/(people - 2))]
8 _ y2 C; s: Z8 {6 }3 uset k (k + 1)- I. ]# n# E2 ~: a
]5 w8 q+ N; v) C: \% |2 s
set j (j + 1)
! u7 L# m/ i: u' J+ g]
/ R, O( `- ^9 K) o; nset note (note *(exp (- (1 / k)))/ k)4 P0 f& k. ^" Y/ c2 U/ F0 Z: Z- \
set credibility-list (replace-item i credibility-list note)
7 }3 ]. w0 ?: L8 m8 L* O' |. A! J7 `set i (i + 1)! r; }8 h9 ?" t. X
]
2 P' N0 j0 L- g7 N8 a! O# S- Kend
, k: w1 W* V7 P: ^1 |. k* j$ Z( y, O' ]) a, u$ _) |
to update-global-reputation-list
/ S' Y$ N, \# n" y' olet j 0/ C' S+ i6 _- K
while[j < people]
0 L6 ?' l- j7 R& _4 b) P8 b6 m5 r[
, I! E' C: E$ u; e6 T' k( q/ \: b' }) Z: Hlet new 0
! Y: B, u9 P$ c/ u; L;;暂存新的一个全局声誉
& p% z* Q$ A. t. rlet i 0( I& N$ }+ C1 v- i) U% e4 m6 ~, H
let sum-money 0% M/ G0 w: n! A' q% l
let credibility-money 0
0 l" a+ [1 \! T3 y' M7 o, i. uwhile [i < people]
% k$ E' ]' D) {' d5 _/ N[
9 |( D6 W+ \# |2 U8 pset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
6 u2 j$ Z7 R7 l' wset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)): G0 F& [# A7 P0 D
set i (i + 1)
( f9 S" j' a" R- {6 }" F/ I9 B& \2 r]
* ?4 X( I* M* _* ~4 Dlet k 09 D5 P4 e; D. n4 d) Z. f
let new1 0
8 {, j% y1 c n( [while [k < people]
) z) E1 f; ~/ J: d0 d+ ]$ s[
# K4 m; O. ?+ @0 }6 C5 G9 N4 mset 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)( X ]2 p3 U$ r: G
set k (k + 1)
3 f3 S3 G- D# V; t* r5 Z, V8 P]
0 E* z3 \- F# O t5 @3 }set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 0 ]3 o* W& P0 _* u4 L; v
set global-reputation-list (replace-item j global-reputation-list new)
( S4 W/ w6 A+ P* A% t3 Wset j (j + 1)) A* Q8 m; g9 f8 Y- P' u& F
]/ Z% u* `4 G: W- a5 e+ o" T
end7 z. |# ^4 F+ T5 t5 r! F! B
) n/ D3 y8 s U
. V3 G9 N* N$ Q1 v/ f, t. l, y: Y) r0 s& L: `
to get-color
& ~) ?" @& B8 ~( g3 T7 o/ V7 Q! g/ M1 F- w% w8 b- a; O" w( \- g
set color blue7 S4 F; }* D9 u( J: C) D* j, @: F
end
6 g+ A+ h) @8 a; P6 Z- s; C" g% w. A/ c+ q
to poll-class
5 _: u+ M/ C( q/ S8 K) H) Yend
+ \3 O' w: N: G4 I! Y# }0 Y4 b
: e' \* e* Y6 @$ Y: rto setup-plot19 `9 \" x, |( T$ g& [8 b, C* h8 H2 l
0 k) b+ [+ [/ p; G8 K x
set-current-plot "Trends-of-Local-reputation"
1 Q9 }% P) g' h/ d% d7 V* l7 E! S8 {, \: K. d8 F- Q( ]2 v
set-plot-x-range 0 xmax0 m+ C8 d" Z* a ?0 k5 k
" p2 P) Z+ `! e# `: a. M" V: Jset-plot-y-range 0.0 ymax
1 n1 d- O( u" ^! }$ Y; Kend) ~# M9 ?! p9 [5 V0 |! [
4 E+ P& n2 b2 Q7 N0 R1 `5 u
to setup-plot22 w4 l& I; J) `2 }9 ^2 E
; i* a U. D4 O) C) [5 i5 x
set-current-plot "Trends-of-global-reputation"
+ ^! N$ f, E1 c. J7 ^" c
6 r8 t# q/ I% f; Pset-plot-x-range 0 xmax7 q' ~4 G2 v$ Q5 J* e( K
) x) \3 @+ v8 F6 @' lset-plot-y-range 0.0 ymax: _$ h" ^) r, b5 Z
end- c/ Q! N( j G; i
" W4 `$ j4 X" T# Cto setup-plot3
" `" T$ G4 t. _" k+ `% i" @" q0 x; g9 p" {+ m- ~
set-current-plot "Trends-of-credibility"
7 n( t/ v9 y' p$ G! G+ ]
4 @+ s6 q; S$ W) fset-plot-x-range 0 xmax
. v" s! c) @" |3 @
6 `9 L$ u1 B8 `5 h8 iset-plot-y-range 0.0 ymax" |& }6 F; n" `0 |9 E0 X# i
end; d% K8 t. E0 Q' `8 g6 f5 j
$ y$ S* D0 K. b& b5 Vto do-plots
( w9 R# L: p: y; Z7 s, l: xset-current-plot "Trends-of-Local-reputation"' k8 E: O9 C1 W6 ^! _3 j' A- `
set-current-plot-pen "Honest service"
1 A/ O1 Z7 v8 g) G9 ^7 rend
* K' Y# L3 n, y, S& P( \3 M8 E* h/ B, P
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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