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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
' R' k6 a( K9 y2 `# hglobals[; D- t8 J0 T$ s+ Y) _( l
xmax& I* q/ o& S# N& i# C
ymax6 _0 o% R o1 d L6 H; K
global-reputation-list& y3 c# t# V; B0 Z* ` A' f
% V# O9 F% }) L5 z8 E! z/ f) {" z;;每一个turtle的全局声誉都存在此LIST中
5 e. v* Z( R: i4 T+ P4 x0 [credibility-list/ t% k1 x- Z& G/ `4 y! r7 `
;;每一个turtle的评价可信度* K. u0 j6 v7 {' ?. i, B6 H+ I! O
honest-service8 l* {4 o+ N% s" h
unhonest-service
0 T" s0 f& U2 [& @0 z3 U8 aoscillation# c" D5 u( y. A( u
rand-dynamic' U$ {6 ~ A5 ~( h, R5 Y' Y- { K/ e
]+ U# E1 E% y' b( d5 E; q) g' `
/ W* P9 S" w1 g5 \$ C+ C* nturtles-own[
9 I8 N! V. L+ F7 q. C1 M- o% Otrade-record-all9 v5 t% l4 D4 o1 B; G2 X1 E
;;a list of lists,由trade-record-one组成
3 @6 h0 _+ y3 Z5 ^/ ctrade-record-one
% B$ I- L( s* P g% I;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录) b* t0 b! A5 g/ n0 |
+ e! p! d+ y9 }# J* k) S;;[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]]
1 q% [! T2 q8 q$ b5 L9 N- Ztrade-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]8 P Z0 \( ?# U; [; h. l
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
) d* \4 U1 o% ~2 m+ Z, S1 ^- U3 oneighbor-total% B( `# \- q2 i% f$ L5 y+ B3 B
;;记录该turtle的邻居节点的数目* ~5 b' w8 P4 f0 r2 ?2 \4 m
trade-time
! U2 ~; D9 G) q( g: n;;当前发生交易的turtle的交易时间
4 o5 ~! L' J! R% _appraise-give4 |5 I ?6 n8 z2 N
;;当前发生交易时给出的评价
" M. z& k3 I ?) Y5 o* jappraise-receive6 [: }( g% B. M6 E
;;当前发生交易时收到的评价& H7 u' E; \/ V, w \4 Y2 @
appraise-time
# t( z! A) Y1 p0 e4 x6 W1 w;;当前发生交易时的评价时间
5 E0 n5 s. T( elocal-reputation-now;;此次交易后相对于对方turtle的局部声誉* u. u2 D. j/ b- a: t) [5 h
trade-times-total
9 _; u$ |0 x( V1 M) G5 G) c;;与当前turtle的交易总次数; C8 y! s$ |! b' W# b
trade-money-total
9 a3 G+ `, U9 Z;;与当前turtle的交易总金额
, C1 U: o% J0 |" U/ v+ Jlocal-reputation
6 Q, U6 @: y4 \& Bglobal-reputation; `; T8 [; C; A. t7 \2 s
credibility6 `; \% Q0 v" F* C
;;评价可信度,每次交易后都需要更新
, {9 ^9 o: W* [& Z6 W" c2 v( `" C0 {' Zcredibility-all
" i- f5 i/ h2 N4 C;;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
# f; Y2 I. p- ]" L7 ?+ @% ]- B: r& v; _0 _$ \: m' ^/ C
;;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
5 L/ I! }! P3 S1 ?credibility-one( q, O6 F5 ^7 _( ?1 u; h( 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
2 \5 R9 ?" m1 C. M7 N4 F- Tglobal-proportion& w* J6 K" ]" u( s& x. X! b8 `
customer
; t* W0 p% F3 V- Zcustomer-no
- [: t. h5 I5 r [" d9 a- |' ktrust-ok
7 j' R! W$ n& g9 h, I! b! B) atrade-record-one-len;;trade-record-one的长度, c7 @' m% c! m# g
]" G$ ?! r( F" a, ]" U! l
* D& u2 u$ N! I;;setup procedure0 F2 g) B% p2 \" N
* n) ^8 o5 E7 T/ z1 o; Hto setup' [# I9 l/ r# l
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ca
2 f8 p. O! f$ f w0 A8 {+ k
- K; ^4 X! x; |initialize-settings( q& u4 b. y5 K0 F5 b( a
: K' B+ r& [$ l, v5 \8 i3 ~crt people [setup-turtles]
' x+ j" ]: F3 `$ Q: ^, }" |! W9 b
& P3 L( a# m. T3 u; ?: u" i- Jreset-timer
* e& z9 L- t0 @/ i
3 t. ~4 D" Y, p S9 W# Ypoll-class8 t( O% N# m% V+ w
6 z( n% T( }) d
setup-plots- \- ]( a1 p/ t; i# Q% m1 N
, ~. s8 v9 c6 R9 q) j$ w6 Bdo-plots( h; | E, E U2 _
end
/ ~& K `9 g- r8 R Y7 [& [1 ^: o* d: D& @# U4 P& P
to initialize-settings
* U4 b8 b* s# s7 Y. \2 L5 p" @2 E9 r2 B0 p/ @+ b. Z8 d3 a+ J, _! d
set global-reputation-list []
) C- @7 P" V# E, d" F
9 u& o0 R c3 m8 \- wset credibility-list n-values people [0.5]
o F" Z3 D( I' f
8 ~9 O4 S) D! h" p: T% v" {5 wset honest-service 0& O7 B$ Z: O8 n: b" \ Y1 B
/ Q2 R' \3 U3 Y( D
set unhonest-service 06 J8 b8 c1 u2 {% {
" r% {) S7 k/ _$ |+ q5 E/ w3 Z
set oscillation 03 c1 H( N7 i n* T" p+ L
% X% [# l2 R1 p: @" C \set rand-dynamic 0: x+ s. w: N* g c! G
end
" n. L1 Q7 q9 K% c# O/ M: m: c$ K9 L5 l9 y- k
to setup-turtles
" Y, r: e' |/ W3 v% Q4 wset shape "person"3 z& v0 r# [4 D, u1 ~# B) K. c2 }
setxy random-xcor random-ycor2 [: ]1 z) Q- E& N# I
set trade-record-one []
+ ]: t3 m& _% R% h8 w
- R3 V1 {5 Z, P% dset trade-record-all n-values people [(list (? + 1) 0 0)]
( `) p, s8 Q* v1 o T. L- M3 u' a' h( w2 Z9 g& b6 @0 U2 Y3 W
set trade-record-current []
3 f5 g. M1 _/ l7 C4 v* R# Aset credibility-receive []8 W$ u8 p/ ?& ~/ P+ L
set local-reputation 0.5
& L9 p/ Q A6 l: |9 Eset neighbor-total 0
' S' d$ X9 Q- T7 d f6 C" Mset trade-times-total 0
7 h, q& `* Z3 v* [; j& Qset trade-money-total 0
0 q' y9 h# y% ~: p( h8 cset customer nobody* k, \1 j6 b) e/ `: R( v. ~
set credibility-all n-values people [creat-credibility]1 S1 u& G/ Q3 r
set credibility n-values people [-1]
( M! p% {+ m) h' f9 M- Cget-color
7 R6 o# u) P0 x/ H8 p( j" I- _9 V6 I E4 k' \% P+ R; T L
end
% G! y& S' A" h' G% i5 \9 W
) g3 y4 L* {( W( k W+ V3 F Vto-report creat-credibility0 x$ O+ k! \( E
report n-values people [0.5]! c; ]- G c: H; l. Y+ l; y2 @
end
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/ F) j: R6 T$ fto setup-plots; w" x; y" l. e4 N3 {
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set xmax 30
7 N' Z0 G0 Z5 K# ?+ y6 |
" L0 e" `7 p: q* vset ymax 1.04 @$ @0 b! B4 i R3 c
& }7 w! Q Q- `( e7 {% \clear-all-plots$ ~: r8 e+ f& L6 p+ C
! b( o# A: I; o: ]2 p4 K6 ~" Q8 R; ksetup-plot12 p. B9 v) k9 e# y0 O+ E
5 R: p' m$ `2 O3 g* f1 qsetup-plot2. {9 e' Q: X9 e. {% ]5 e( `- k) O
5 ^/ {2 @1 F2 `+ i# p3 zsetup-plot3' I V- t9 `( c; |: r% o2 u, u
end$ d; x4 h' ~4 x8 w
: j1 |0 L: @6 f6 n1 F$ U
;;run time procedures) P0 H+ a7 \% }4 C, n
) a5 F. M6 s" G
to go
+ X, ~% U5 O9 f. [
3 K! W% K) _6 L% } t6 Pask turtles [do-business]5 `) ]( l6 K2 Z( x8 I3 a, d1 h
end, v1 o$ B( ^6 {' E4 o" z0 U2 e
7 Z( _( f. E/ x
to do-business
" n6 u! Q' X' x3 I" E* l- Y2 k+ T1 X4 J1 d8 @3 h% s
# }6 ^/ n4 M1 m6 J/ ]% n) A# R
rt random 360
4 W c% E7 w& T% A) ?9 U, j+ D9 E; A; b. U
fd 1
, L3 e* }3 w' G5 G$ {
$ T- h6 I7 {" x5 v" Y; Y; ^, pifelse(other turtles-here != nobody)[
$ F! j) ^( |* |; F* J' w7 ]
( b, x \7 ^. P" q/ M0 Kset customer one-of other turtles-here: ]! J5 D1 {$ `; f+ V
4 f/ S3 ?* w- e" p;; set [customer] of customer myself! Z( _5 M) N; c0 A9 t# O& X
& c Y3 R. \6 C/ Y M& f
set [trade-record-one] of self item (([who] of customer) - 1)+ A8 W2 V: o' L4 x, z! Y8 |
[trade-record-all]of self2 B+ F, P6 G4 Q- j
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
( c; | U- h8 J. Z4 i3 {6 W
( w. u4 ?3 N, r1 W8 d, I. E/ ]- jset [trade-record-one] of customer item (([who] of self) - 1)8 V& ?/ `: Y: j& g9 g0 `
[trade-record-all]of customer
+ w0 o/ W) |9 m3 }7 _. X. m P3 s1 e s% ^+ H3 ]
set [trade-record-one-len] of self length [trade-record-one] of self3 Q9 b' K/ E) X& U% q, l) A
+ A, W3 d' q8 hset trade-record-current( list (timer) (random money-upper-limit)) c/ `6 Y0 F1 M: r5 j8 k
$ p0 P# ?4 k( A5 h Hask self [do-trust], g# g; v1 Z, q+ G* K
;;先求i对j的信任度
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if ([trust-ok] of self)9 Z7 d7 |! T$ u/ l* s: ? m
;;根据i对j的信任度来决定是否与j进行交易[
j$ v$ L% u rask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself' A; s6 C3 x w1 o
^4 i) K+ p' }! J( l
[% B7 B( D" O) s4 ~' l* u/ Y
; s1 O1 y% H1 u. o! l
do-trade: r" o+ X% ?5 \% f! d! Z
; x" B8 x! [! M8 P% Q* I
update-credibility-ijl% W) o- p, D/ x5 m
, _" I6 H/ _$ [0 H1 H5 e/ j+ _3 q; m$ Bupdate-credibility-list+ S6 Y& W4 o G* I% p& _' Z0 ^2 o
; h( f# C0 Z* L, Y) v! G" I& E/ s2 c$ k! T( F1 w( Z
update-global-reputation-list1 R7 p$ R% I" f: {# l; p5 g7 q; H
; w1 {6 _9 X% Y4 G
poll-class o# l2 ?7 F. L$ G' b& i1 E
$ u% J& c: D0 i# A b+ q, c, ?get-color+ t/ U* Y t; }$ n# A n
% N$ Y4 o) H1 b4 `) h, @/ l7 L2 c]]
$ c+ @! {/ j) d/ u1 D" B( X+ o% g6 i8 h# Z+ \
;;如果所得的信任度满足条件,则进行交易% ~2 c, M: O8 g8 L; W2 E8 v) c
8 r5 Y j1 Q) I" [ h[" T! q* h. I$ A" q
7 l# j2 B2 ^3 G3 D6 u: s
rt random 360, B+ X, I' o- _9 T; Y
, c* ^: r% P) f0 i4 r
fd 1
# r! H: J: l# A+ m" Q7 Z/ Y, y/ n3 i
]
, d9 d i6 I2 `; L
6 X8 R* H8 z' B) D* E5 D4 ~8 m1 iend* [ g! [7 j% g* }% \
5 b, `0 N; l8 `! B
to do-trust
: L, C3 z: K; d% Z% c/ R$ B1 n+ T9 Aset trust-ok False
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# h, W* G6 s0 vlet max-trade-times 0- u. C5 D9 a* X9 ^0 @7 l
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% |" Z2 @5 S0 n( S: K, w; Z
let max-trade-money 02 b7 }9 c1 t% c6 n8 C
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
8 y3 h2 X$ L5 i6 A0 A7 Dlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
0 v( K& H; }3 s! a5 _1 ]. C& x
* @0 D& |- P6 c4 q' p1 E$ H: f6 \
4 G3 s/ A& Z; fget-global-proportion
0 r' f0 S8 ~% f( H3 ~6 ~let trust-value) I2 Y3 r" L7 Z. G; Y- @1 j! h
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). d1 y2 ]( \) p$ Z
if(trust-value > trade-trust-value)
* ]) O7 s% c- _" B6 F' o. K7 l# Y[set trust-ok true]
# ?5 y* L2 D! B) y2 ]5 Vend
( ]6 A7 K3 z- k
# D' {5 X3 C# o. _5 w; o* rto get-global-proportion
" j( T8 M% N9 c5 F* v0 v) [* ^ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)$ Z+ H5 O. x8 W. q) k9 \: A
[set global-proportion 0], }9 F% s. E7 G9 Q- _( e e
[let i 0
- T0 T3 D. L2 t# [) c! clet sum-money 0
0 m5 M6 [1 r Lwhile[ i < people]
3 d4 v; L6 g5 y% l8 |' p$ P[
3 K. q8 g! X# \1 kif( length (item i" Q0 r; ~+ A) [3 h' A6 Y1 C
[trade-record-all] of customer) > 3 )- c' }* y8 F$ N) I- ]
[% v. b5 k6 K1 L3 d
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)): e4 t6 e& S5 w( P9 o' Z; H
]
" k7 s& M4 R$ {1 O6 \]
" g, a# W! d- L" w# O9 @+ D( ]let j 0
. O2 ]* ~- \8 w p, F N1 n- Zlet note 0
$ X7 t" `4 m% o8 P0 B! m+ l' Swhile[ j < people]' e( P7 {; J. i7 @/ X3 Q$ \
[
( U% ]0 c: e) n% vif( length (item i/ D* ]; i4 O: i2 u7 G+ L* w5 t
[trade-record-all] of customer) > 3 )
: a/ r) O4 O8 U" p3 D8 U7 L[
$ n. c5 e' z' Q4 m' uifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
$ ~% H, D2 a+ i9 `/ B* z/ @! }5 w6 M[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
! \1 J3 @7 y2 M' ^: x0 i4 F- {6 l5 O[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
: B5 Z8 @. w) G7 E. g b# \9 c' s]
( K. T1 B5 i, s; l. [% q]
, Y! w- J0 m" {+ @+ Uset global-proportion note' i, G' A8 {) t! k
]" z2 e& N( ~3 i* J
end
3 r* ~8 s$ K0 r' J2 d. h% `+ H2 U/ t1 A, a z" V% c; m
to do-trade4 d' x) x, i# \! E; M
;;这个过程实际上是给双方作出评价的过程- g* R/ y, A% s" i, \- F. @
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
" s2 w1 w K4 ]' _( q( jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价+ ]+ x9 y2 T- M
set trade-record-current lput(timer) trade-record-current7 e/ Q' q$ z: B( \, x
;;评价时间5 ~3 Q8 O8 i7 d1 y
ask myself [
* H8 r2 a, `6 c. n( N/ w7 h0 ~7 gupdate-local-reputation
/ h! o' G( x5 A' O q! Q- q' f( `: R& Cset trade-record-current lput([local-reputation] of myself) trade-record-current* B! O" {6 V/ E2 m2 _! i
]
t1 d _: x; J/ W1 z/ d0 K) }0 T' _set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
7 @8 f% |3 d! R) r;;将此次交易的记录加入到trade-record-one中 ?; U: P8 d! G9 d2 G
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)" s; {, \ I/ ]5 ]7 W* ] @& K0 I
let note (item 2 trade-record-current ), }& r+ V6 ?# S( r
set trade-record-current# r, a3 B3 O# i, y+ r: L
(replace-item 2 trade-record-current (item 3 trade-record-current))' L1 [. z" X4 R" o0 N0 {
set trade-record-current& g8 ~# `' A6 J$ l( r1 z; q
(replace-item 3 trade-record-current note)
* {/ m# H4 Q! a" V8 `) y
+ N6 d1 z* U$ Z7 ]! H- e0 l. l. X8 i# P, J5 D
ask customer [0 d6 n3 o z! a! w5 F4 {( `5 i6 V
update-local-reputation5 p9 O5 O+ y- ?) |5 z
set trade-record-current
3 ^# j5 y3 K& g3 l(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
. P0 Q3 I. r5 B! x5 n]6 i& m( T; h- H! W
* U5 w, R1 ^9 w3 g5 k! T& e* c
% {; m% g1 [& y9 R( n4 ^# {2 t1 pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
2 r8 U0 [5 f. ~5 w5 e) O2 i
, c' j4 t/ X1 D% i" z+ ~set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
- n0 ^/ W# N" C3 y;;将此次交易的记录加入到customer的trade-record-all中1 R# a" V- I" F: M/ b5 O& q: U
end
( S5 a* v" } Q9 Y
; U# W2 }6 L* G7 G! s/ u4 {) }0 h& r# dto update-local-reputation
; l( X" q% n. c/ Y' k" tset [trade-record-one-len] of myself length [trade-record-one] of myself" ?2 g' c# U) \: y2 [
3 p" Z" b/ X1 b% H" {" s7 r
/ v5 S; B; w7 Y8 R2 v5 |" b* D/ c;;if [trade-record-one-len] of myself > 3
* x+ R" m0 k1 j" ^1 h! hupdate-neighbor-total" L1 P' @' _) i5 r- u, {; c4 ]
;;更新邻居节点的数目,在此进行
' M) @7 m8 M( v# M! R) g; Wlet i 32 e( A1 T9 p+ D, k" Z$ M
let sum-time 0
/ S3 \4 O0 |- m1 p1 `while[i < [trade-record-one-len] of myself]
5 ^2 Y% `* ] m2 {; P" {[
5 L0 h* H @% s/ }- Sset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
( r# D$ k# x3 q' G" a7 aset i6 I/ f& Q+ H* X- h+ V
( i + 1)& m+ y9 I, g& |9 I
]
* [- W5 s* j- tlet j 3
m& u5 t$ g, B' z# o, Glet sum-money 0; |, x- m% C: _$ p! F8 J5 e
while[j < [trade-record-one-len] of myself]
, f9 d* a- A1 H: I6 P) K# {$ s( q[2 v' O' O* ?. O$ m E( W" ^1 j
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)
7 `3 D. }/ J5 T; p: t& @set j9 {. L( Y4 F. h( Z/ u2 C( }% ` J
( j + 1)( b: G, X; A. Q" ^4 k1 u% Q0 K
]
8 K2 E9 }. X w! }! ?let k 32 x3 u8 Y$ F* a! z- O. {' c" S
let power 0
' d- ?, m# @1 i; b9 c U4 S/ n7 blet local 0
, V6 \& G' E% j6 g* H- fwhile [k <[trade-record-one-len] of myself]* y4 r; ?3 l) a
[
% U; m' Y1 q }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)
' N: L, w `2 v, }$ q9 }! L9 `set k (k + 1)$ ]: u$ f2 ?" R! W. d
]2 k, x3 V* k. |0 c+ j" ?% ~
set [local-reputation] of myself (local): u6 A* k% S/ p' G( T
end$ p0 H; Z$ z; @. t% Y& U" A. P
. Z6 R+ @0 b! I T$ W* hto update-neighbor-total
: B# b( m7 T. _! F1 }& i& ?0 I9 R. A* q$ C
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]! C) L* x# B( {: A+ Z' j4 k
9 A3 \. D1 I% y7 Y" m+ Z8 h8 E
2 k/ a2 Y" T/ F0 W" D5 {end% m! M4 Y1 O% T) y- ?' ~
9 R" e% x3 D1 A9 Q0 x3 ]) W' G* Eto update-credibility-ijl , Z( }; C/ n7 f0 H; S# _# R' k
# t: b$ l. _$ o n! 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。- Q6 p" C& P u/ ?9 u; F
let l 0, L( p" W( d, @- u" i9 s& k
while[ l < people ], @& ~' ?: G5 q# Q
;;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; o: O* @ J: \! t& V
[* D% ?/ a) x; q8 T
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
- L1 P" ]1 L- V1 V/ b5 hif (trade-record-one-j-l-len > 3)
( M4 J9 L/ \, u+ I. h' 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# b7 _9 w- `& [
let i 3
) K6 q: y# \: vlet sum-time 0
' A* B/ G, c1 M7 [while[i < trade-record-one-len]( I" |; L+ k, l+ E
[
% q4 \# ^6 P! E: H" Lset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
6 c/ K0 ]2 a* |4 E9 C: Lset i) a0 ]' W7 B: o, w$ b
( i + 1)
& k/ E& ^/ V) k; K]
( n9 x) b( J& I/ G! A U3 d, Klet credibility-i-j-l 0
. E; P, a5 N; W. c P# S;;i评价(j对jl的评价)- K- l" R, [& F# J1 g' Q
let j 3: v7 n5 ^1 _8 r6 m' ~5 e. ^
let k 4
) T3 S2 {* G- }& v& I6 _while[j < trade-record-one-len]* n4 r9 _5 Q7 G# k" ^
[
% T0 E1 |1 d8 gwhile [((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
9 D7 E' p7 |" b: h5 {2 W) Dset 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); x9 j6 Y7 u) h9 s- m6 M8 C
set j2 Q- E9 h* E" G1 r0 b! O% E4 F1 F
( j + 1)+ o+ S: m6 ]$ O
]
2 F1 A0 |6 |7 Bset [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 ))$ @3 M- q: q( i& ]
: W; @" |1 |5 \2 ?2 v. \
: K% W1 R- p2 wlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); G7 n1 M, x6 f s
;;及时更新i对l的评价质量的评价2 q- o$ j$ `( M7 W# q
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
0 i# X$ @! O$ s, fset l (l + 1)4 a- ]; L" ]! x6 e3 U+ q+ P
]
$ Y+ Q q7 f2 u% y1 {/ gend
% R( N; j) d) J) H( s/ _- O. n( V- q" b0 C* E1 s; u( N
to update-credibility-list$ F7 \# ~ @ K0 T0 n% l
let i 0$ e$ i- N" O* T
while[i < people]
# G. W& [8 h: O& A) b3 @9 e1 \[
( a( c3 n& \* P7 ^6 S$ }: ? [let j 0" v7 P: k7 k' o7 V" e5 |
let note 0
, v1 z; _1 h4 [let k 0
1 A3 L7 W8 b! n0 r) m/ ?;;计作出过评价的邻居节点的数目6 q9 v" O9 t( J" O; x% l9 ]: g
while[j < people]
6 d$ |& V7 r- C @[
( @- k2 r8 k e Z2 oif (item j( [credibility] of turtle (i + 1)) != -1)
1 ]+ |& T9 V0 s+ G- T- y;;判断是否给本turtle的评价质量做出过评价的节点1 b- o$ O0 {. o
[set note (note + item j ([credibility]of turtle (i + 1)))* J0 P: h& q! h; y2 w& G
;;*(exp (-(people - 2)))/(people - 2))]# Y6 f9 ?! H" ]' d
set k (k + 1). F) k+ w- A2 S6 Y4 e+ R: \2 n
]
, N, _" ^5 M/ W vset j (j + 1)( Y, t a$ S* r. M$ k! L
]
+ L1 \9 J8 O6 O) r* Eset note (note *(exp (- (1 / k)))/ k)' p9 ^+ d+ P) M' C& \
set credibility-list (replace-item i credibility-list note)9 W: c2 S9 Q9 D5 X
set i (i + 1)
9 t" W. g) v& d& ~$ q]
: G( P: s. {% z7 Zend% e) S9 T9 ~6 L
4 A7 [: j( {" e, M ]3 Mto update-global-reputation-list
( A+ q+ R* o5 A8 Xlet j 0" U# Y1 F& m, [" C
while[j < people]
# h* g& E; A7 b7 G/ `0 @. H/ V[+ U+ H. E. G6 h7 w$ |0 @2 [
let new 08 c0 w2 P; L9 w
;;暂存新的一个全局声誉
+ I- I( d, O+ V/ ^! @- Y) J# ylet i 0
& h& s) R5 d2 Z$ k4 D, dlet sum-money 03 n- B3 T. e f. a
let credibility-money 0
, S1 h# b2 H; m& x& }5 ^$ U' Z# Jwhile [i < people]; B# R1 i9 i" m3 x# G+ b# a; A
[
/ J2 {. a' n- |; X& Dset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
" D: T1 s Z1 ~. _set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* ~: L% V! }3 K! c5 ]set i (i + 1)' o* r0 J7 l! ~ d: S
]
2 I$ x+ _5 s3 L# c+ blet k 0
' q0 s# S& R- G& ]- hlet new1 0! B/ Q2 `4 D% B% I5 |
while [k < people]
: S8 ~ X% A4 s3 a! M- x[
0 I: l. M; b* k7 l. i qset 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)
% _- f. X P) l) T; c3 g4 qset k (k + 1)7 T9 b; B# f" q1 W- {3 [
]
( ?% Z8 ^5 Q" Z2 y) Rset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 8 q. q2 M, {! B8 w( r
set global-reputation-list (replace-item j global-reputation-list new)8 g7 R3 z" r' z
set j (j + 1)
* ], s0 ~3 d8 k& K1 b" F* l]
8 F3 f3 }, Q+ l0 B0 Send, C/ v2 ^8 J& ]
! J5 {0 `. Y& [4 D' y; Q" y/ |
- Q& c7 Y8 \! o: P5 _: t
) l F. ?. A4 ?to get-color6 J8 T1 a s% u, k* T. l1 P. B) b
* B1 k+ k' S3 _8 K. j. h" zset color blue( j3 O3 @4 I! |) \; L1 B0 g
end# T; W. b, m& p; L' ?& }
* }5 K% t9 K6 q5 _7 p
to poll-class
L# y1 D W2 ]4 ?5 Zend
* r/ S( J% A8 c3 \7 S
7 C. G4 @) F0 H) i: C. Y: `) v" E8 Wto setup-plot1: p" Y. {, S! l! g' U
$ J* @8 q. z9 F
set-current-plot "Trends-of-Local-reputation"
( f& k) J3 U0 e% j' t. U
6 j0 s. N! `2 V3 S; ^; s$ e* a6 Lset-plot-x-range 0 xmax: b7 s$ t k: R+ ?1 q# {
" i6 L8 w9 _ n7 Eset-plot-y-range 0.0 ymax
6 o2 d8 C/ }/ V( v7 Vend
! z- F( b H& l! a0 a0 k1 t* Y" `! ]1 k& s: b4 [
to setup-plot2! ?( }6 V8 n" A' b% B
- |2 [' b* d5 Aset-current-plot "Trends-of-global-reputation"
$ c& U9 U/ _% ~ w! O# ~" j7 s
# _# k$ o! P, Z5 Z4 u& Qset-plot-x-range 0 xmax* `+ s, Y4 l; l k3 f. M5 G
" N# D# E+ q1 cset-plot-y-range 0.0 ymax
9 h9 R) R. p* e9 P5 _' a: m0 H5 H! tend" E+ ?, ^) a1 J( T6 Q! H M+ W
: ?( |7 f9 W7 ~3 l& x9 k2 M+ Oto setup-plot30 S( F; O% P% a D/ L
1 @2 H! \% @. m+ X ~! l) oset-current-plot "Trends-of-credibility". |- K- a" m& b
+ N: _0 D) `3 S' zset-plot-x-range 0 xmax
7 s3 r. e: r* g U# ]8 ~0 T4 I) |, e j5 v( L! G* y
set-plot-y-range 0.0 ymax
8 {' n0 q/ U( a4 s7 Bend
& Y1 }$ k; m) Y& X2 s1 [( V# Q, t3 M" p
to do-plots5 u- r( l, }. B# N, j& ~
set-current-plot "Trends-of-Local-reputation"
8 K# P. ^; k+ B$ cset-current-plot-pen "Honest service"
, n4 F/ L& s3 C3 x8 Wend. d" r+ [5 e& Y
+ T# a$ ?" o' U/ t# Q4 @( D. d[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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