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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
1 e8 l" Y" p/ |; D; `- [globals[% z. b6 h' @# R- B( L+ B1 K
xmax
, ^/ @& r" ?/ Q% h' k: g+ `; qymax
/ e. \5 b1 s' [$ uglobal-reputation-list. u; ?! d! } f, V% R6 f2 u! k
. c0 l. \+ \3 e& E" |! |) N) R
;;每一个turtle的全局声誉都存在此LIST中
8 V6 c& h# l( A; n7 ?credibility-list
4 u% u. b& D F6 H" z4 |' V;;每一个turtle的评价可信度
; G3 J' P/ U( q8 }honest-service, y7 n1 A3 [- j% I
unhonest-service
* n3 p7 X, X; n3 J. j# aoscillation
% I( D, x5 Y; X, `rand-dynamic
1 b$ |) }4 [( Z- J; F. n, T0 e]
: b1 \! f, @4 E4 l/ c/ `# g. q; q& J
turtles-own[
# X; Y1 n1 s: U* N& W Ftrade-record-all7 t4 t, Z0 H% Y. m$ {. [
;;a list of lists,由trade-record-one组成
! f- a6 b) V0 l) V" n0 gtrade-record-one
& u1 f6 l" G$ `; U8 l) Q" Q; u;;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 t0 s) `8 i+ [* d! ]. c9 e3 k2 }* I6 X W$ _- 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]]
* w- D: L9 P3 k2 j+ ytrade-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]2 ^. k: I L; E/ F7 a8 N
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: c/ F4 X* U+ y- g! T. z$ q! x
neighbor-total
) b1 f( R+ L# Y; U. ]+ v$ b0 ^ J;;记录该turtle的邻居节点的数目+ V5 a6 ?. s+ u& J0 p
trade-time
0 M. s/ b' A7 o5 K7 f;;当前发生交易的turtle的交易时间
" I) v/ _2 n( j7 j3 v' Y& i+ Cappraise-give2 W4 O. N* o+ u5 o6 w
;;当前发生交易时给出的评价
- t6 O, Q. E- t* P! Lappraise-receive9 v3 i& K4 k9 k! i5 K$ `" S" Z
;;当前发生交易时收到的评价 J: F% o9 i$ L6 B4 F
appraise-time+ [2 E7 }4 F1 }' H3 O4 Y
;;当前发生交易时的评价时间
5 T+ S9 L/ Q; W# m( ^" hlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
9 ?/ U/ F% \# Q. v) Ktrade-times-total8 b5 _5 S- M) |: i& S2 [% E
;;与当前turtle的交易总次数
9 \! |* J6 P) q3 C0 dtrade-money-total( i/ H- E2 _: p4 S. a
;;与当前turtle的交易总金额
}! k0 f9 x. l$ H' c' Blocal-reputation( V0 t/ g# M; U1 z, j
global-reputation) [5 {* o! G+ ]7 n& b$ {
credibility
6 M' [' S0 ^2 I; {8 w) ^; [$ g;;评价可信度,每次交易后都需要更新9 J. C) h2 q" d6 z4 ]
credibility-all
8 h% p% B$ c* k0 d" H4 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
9 D' P- L. M8 N, w9 f2 `4 P/ P' H8 k q) E. C% |' k
;;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
! g; K0 z: A4 E& c! ycredibility-one4 ^, j" N: Q+ Y/ m* f* }
;;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5 X0 U1 r! b5 j* t6 I& Q" `
global-proportion
3 f) g" E8 @4 B1 g$ v$ Ccustomer
5 ]- _" Y C( Fcustomer-no
% F6 W0 f1 }7 ntrust-ok$ M. {* W" X# D# P: `
trade-record-one-len;;trade-record-one的长度4 \8 f4 c9 O9 t
]$ g! S3 a3 R6 |7 h: ~" e: G
) t0 Q( j9 V" V3 ~
;;setup procedure
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to setup8 ~6 o, U6 d) f/ O3 L
* ], `; Y3 Y' o: v; mca
% Q' B$ p" C1 c" ~- {4 a/ ?
Y4 E# G/ _0 m- n2 Winitialize-settings
$ ]! \. y% o: d" n, y$ U0 b9 F+ R! Q1 h6 L1 H+ N0 h! d, n% M
crt people [setup-turtles]
3 f. H, ^( m2 n+ h
" f* z- }: J: H) f* o1 Z* t2 Xreset-timer
7 `. r3 R9 ` g r( l- Y- z6 g2 Q# {7 z4 r* g
poll-class
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setup-plots
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do-plots% v$ h! X* S) s- H! a5 x1 O
end& j: U9 S) N% j i3 F) [# H" w
; o* f+ }* q* c1 F( G) |
to initialize-settings
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7 F# k3 {9 G @# y4 N$ Eset global-reputation-list []+ O% x, ?) n: }" g" \) ?
4 ^0 T8 ]7 P ~8 P: e
set credibility-list n-values people [0.5]
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set honest-service 0
5 Y5 n1 R5 \1 T/ g$ u; p2 K
; E, F4 I2 k; e) Hset unhonest-service 09 h/ `4 @& ]! l* E1 p! k! a) |- q# G
% B2 L/ }, s2 p9 Iset oscillation 0
) k0 w# |8 o/ h! S2 W' M3 {# W# [" v Z6 m
set rand-dynamic 0
1 c. I* U) e+ N. @# W; R% Iend4 t" C/ S/ A B `% S
* p- _3 X$ U% k5 W6 a. Zto setup-turtles
$ r* M9 b2 f! w( t- H* Kset shape "person"3 ]: b, Q5 K3 D( N' s3 @
setxy random-xcor random-ycor$ M/ U! E+ V" I- \6 |) l! Y* V0 N
set trade-record-one []
& L. {9 C2 A+ c) m2 O9 g; h3 E) W4 K" P# |7 |% f
set trade-record-all n-values people [(list (? + 1) 0 0)]
: |6 Q! ]" _/ ~& K: l- S6 E+ U% F }' Z, J, p& x0 g- H+ ^
set trade-record-current []" S- @& ]; ]$ o' n! L
set credibility-receive []" l' D% R- J) s/ {
set local-reputation 0.5* S0 R* W& |% t8 V: k5 Z/ \
set neighbor-total 0
+ B& C5 ?& Z+ ~2 p9 t' \set trade-times-total 0# H i2 m3 Y5 o* t+ [6 X, B2 x
set trade-money-total 00 _$ e3 k3 z6 m2 E
set customer nobody: z5 i+ @- [4 Z: X/ ]# B0 o4 v4 T
set credibility-all n-values people [creat-credibility]! J1 o' z$ ?9 u2 f* q9 U
set credibility n-values people [-1]8 r; P: Z' _4 Q
get-color
! i9 c8 r& f* X& p) Q( [/ p" T3 Q# N& ~1 T( U. j
end7 ?1 s, S2 W# c
$ O1 R6 s3 S1 @8 k1 B
to-report creat-credibility! H8 j* I! z, K3 f5 p+ L2 B
report n-values people [0.5]
2 _* K3 M. r. ^9 {end0 A8 Q" c# a% p* u; [: q6 @( E
8 f- V- }! `1 u9 hto setup-plots) i& d* g# N/ ^. K* l( C: y
4 i N9 A/ ~! p; i/ ~( ?
set xmax 30/ Y( q# ^; R! s) W1 R
. h. S4 `0 q4 S6 M% f. B
set ymax 1.0
* `9 _1 K# S6 [% H( {8 v( }0 ?
' d# K+ Q; d# L5 ^, ^clear-all-plots
$ R1 u) _+ t9 h% L* q u# T2 H! a% ]. |/ o2 M( v! K
setup-plot1/ K. A5 G6 s" _) c
! w+ E8 H* x+ T$ ~( W8 r- Vsetup-plot29 V! B" A" F1 x" n7 a4 P2 @
) ~ g3 \2 N5 \' T# Z \
setup-plot3& V; V$ j! t+ Z2 t% V
end" ] p# q6 u: A: u0 e
* |) i. `& D( [0 V
;;run time procedures9 F$ r# c( ^0 S: j' G) h
5 V, Q g$ i) f |8 j% B* I' T3 I* t
to go9 |1 R l7 y0 h1 r5 f1 Z/ y, F, r
& E9 g4 m8 N, g3 W% {& o5 l: X" d
ask turtles [do-business]% J) k8 e) Y4 |9 P% q( e5 E
end" J! l* s2 y6 c: \. B, \
2 x1 X- I J# o8 C8 k
to do-business
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/ ^& r* _$ x+ `6 Y1 drt random 360+ {. N- B: r9 l' i
& Y$ j/ w9 A9 ufd 1
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5 ^, s$ e& b4 {9 _- uifelse(other turtles-here != nobody)[
+ i7 U- o- k6 _3 Q( X) q+ e: {; p8 c* [6 v$ s" E
set customer one-of other turtles-here
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;; set [customer] of customer myself x$ X1 X. A* ]/ x2 @+ x" u y
( M; L4 u2 N' c# k J }1 p! o" [set [trade-record-one] of self item (([who] of customer) - 1)( Q- q* r/ ?- u/ ~
[trade-record-all]of self
; X) d3 S o! H3 W0 L;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self% ^; P7 {, q. J# M3 P6 V( s- A: H( K$ ^
% |9 j5 Q Z" U4 a
set [trade-record-one] of customer item (([who] of self) - 1) x1 C1 y, L( z; d0 e! L
[trade-record-all]of customer
9 V# e! r0 p1 }* C3 r ~
; F% f/ a0 f% N3 {9 Jset [trade-record-one-len] of self length [trade-record-one] of self
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set trade-record-current( list (timer) (random money-upper-limit))
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0 d7 E+ j& f4 |4 P+ Z8 Qask self [do-trust]) j" S0 N+ H! m( c9 w+ Q4 y
;;先求i对j的信任度% t8 F: r# f9 |0 ?
' N }# e1 w1 @1 m. O" ~3 L0 fif ([trust-ok] of self)! c+ `$ M8 Q; W6 Q: @- q9 T0 \
;;根据i对j的信任度来决定是否与j进行交易[
9 X3 U! {5 ? Y3 Xask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
1 t" |7 I* ?5 ^" q7 X7 V9 l' E+ d, ?8 j, X& {
do-trade
" h6 M2 Z) A- e. `0 o# R. T2 P+ F: H6 e0 U$ T4 q* ^! s9 K
update-credibility-ijl0 A _" L- L P
* I- ?3 f/ o, K# T. D2 Mupdate-credibility-list
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update-global-reputation-list; a. {+ B/ X5 X/ l2 X, ^$ y2 V
0 w: @+ Q' H# x! Xpoll-class S) }& f' |( P3 ^3 R2 e
: O- z7 X i* X5 R2 Z; m& G3 M* Gget-color
% B( |; E! t! b5 Q
7 V* T$ ~- `$ g5 b$ k$ v2 @& Z5 ~]]: ]7 p# W4 q5 a# g% a
8 ?) r* r) u8 {. T;;如果所得的信任度满足条件,则进行交易
! g* R& [7 e* R) s# w' `7 E2 }7 O" Z( E5 q
[% p N9 d/ f* u
6 K$ y8 A9 \ E+ B) brt random 360
: V- ^3 L. g' C# T# W( }8 z& X6 R& W& L9 w% n
fd 12 j% A1 x2 n( X$ z6 O, h
+ f( ]% s: N6 h: s]5 k# ]0 w+ w& L5 n$ |( N
) L* E7 g) r) R x& _7 l, |4 C
end* ] l: C6 s- [6 h: m
, H0 I2 |, O7 ?/ R! Z5 \
to do-trust
4 w L" P$ R; m6 a3 Oset trust-ok False
# M9 S: I: @# m+ m% e% n
6 h" Q/ t- Q( q9 v
# ^( z9 [$ P7 [% F: Q. D2 T4 `let max-trade-times 0
3 ?; J& Q2 l+ I2 W% w6 c8 Y9 @foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
9 M- h$ j* C3 I; Flet max-trade-money 0* W2 b% ^! o# x; J9 q! m' l; W
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( `+ ?- Z" b2 u6 G
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))) D# Q' i9 d/ e1 Z' Y( q& k8 h! g: j1 T8 _
' A& s8 o1 H+ d3 x6 l# I9 s
?1 [2 ?5 [8 R3 eget-global-proportion
( E! G$ U! \) f) glet trust-value- A+ x; Z! ~0 b6 I7 r
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). w4 W# S' y) J! j- U& r
if(trust-value > trade-trust-value), g' v9 s _) u
[set trust-ok true]
" W3 _% \5 [# y% W3 B5 Xend F/ A3 C' Q, E9 Q! Z/ J4 a C
' a: o9 T0 `6 s. `: a3 }
to get-global-proportion
+ G; j8 Y6 A+ g6 }: Yifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)1 ]1 n8 O1 m# x. |8 b
[set global-proportion 0]
7 f l" ]7 n* b* Z" q7 W. O% e. d[let i 09 [. ^; V- k% i2 f
let sum-money 0- d! i" [1 b1 s$ V j, u! w3 A
while[ i < people]# Z- X4 j( Z1 D p
[
4 i) ?( r1 a9 H# g: k/ i3 eif( length (item i
4 u1 L' I1 R9 g/ c) }! z[trade-record-all] of customer) > 3 )+ K0 |& |+ \& v5 \0 S9 Q. C
[
m2 t* s* X7 `6 T! R! @set sum-money (sum-money + item 2(item i [trade-record-all] of myself))8 @9 d+ S2 k9 B. e7 k3 B
]
5 W" z8 n, [% B]3 P: S6 ?+ [) J n7 X
let j 0
& o3 I' L. F o- w6 L- P' Wlet note 05 i# U0 U& p+ N
while[ j < people]) C8 N6 x+ D+ D
[6 ~: c: H' }* J& I# I
if( length (item i
; V; m4 h6 n: H) G# O[trade-record-all] of customer) > 3 ): j7 ?$ h5 t% M1 t- c
[' N% m( d x/ o: A& k
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)! z: b/ \8 p* w9 [* C( L
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: s! o! V- R7 I$ l" K/ M( V[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
4 z& C1 {3 n6 m5 L/ q]' m. ]; A- a& B# _/ c
]
+ c1 I9 I+ K, F7 i# a6 @( Y$ F/ Jset global-proportion note
1 i& |% j) p$ L& `]
5 B# C* H7 g& P& ~8 a q1 V. g' kend4 ], \! R5 p- R0 I. ^: C. X, ]
8 v& q' e2 B+ K8 y( E6 [
to do-trade+ ]5 f2 W2 \ g8 d: _
;;这个过程实际上是给双方作出评价的过程% n8 `% A/ X& b4 T# l. \$ Y7 h
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: H [9 X% H. y$ q0 \8 C3 j' Nset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
( c A9 l) \2 y# y: eset trade-record-current lput(timer) trade-record-current
& I/ n4 }4 p$ K- \9 X' ~;;评价时间
8 H0 P3 M) Z' V' G" Hask myself [. m8 N ~8 U- J! o+ Y% p- U
update-local-reputation% N6 p6 o" f& H2 j6 o1 e8 u! y3 {
set trade-record-current lput([local-reputation] of myself) trade-record-current
; ^. h' h8 a7 X, y* v8 G]
* t2 z2 J! k* |6 jset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself& R S f) I9 N# C, a5 S
;;将此次交易的记录加入到trade-record-one中 k+ {# q0 U$ h" `3 l/ R% i3 j" V
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
& s! y- B7 g) g' ~- tlet note (item 2 trade-record-current )# R- m/ Z: J U* \7 k& J. Z5 I
set trade-record-current$ v( M+ c0 b& N5 k+ [+ L/ W" U
(replace-item 2 trade-record-current (item 3 trade-record-current))
8 S9 {: _8 B- e6 q/ h+ Zset trade-record-current
) ~% @/ |7 i4 ^" p! h. y5 e(replace-item 3 trade-record-current note)% P P/ o' n0 M* A% a6 d; ~/ ?
! K. M g3 C2 _ s0 \
6 H: s/ z4 b1 Q8 L: ~
ask customer [
( l: J$ j' x. M0 _5 a$ U7 mupdate-local-reputation
/ Q6 x! d( E8 x2 O0 V6 K9 A( U2 Oset trade-record-current
) \9 u) n+ V* F+ k' g(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ' g7 e/ ?7 R4 g6 ~# B1 }
]
! c* c [9 Z& e4 I* }/ N. C! }; l/ ?% i# T
' ^" x8 @4 o1 G( v) ^( S
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
! Q3 G1 i' U- _" \- I( u
! H% p3 p: \8 n+ I/ x, b* t, `set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
5 p0 z- g, D- n6 q4 J+ I;;将此次交易的记录加入到customer的trade-record-all中
; d4 v9 O& a: y1 N3 t8 V( Jend" G- o9 h3 C2 n1 w* K
) g) D$ [: L; z: O5 lto update-local-reputation
5 W4 S( |: v4 iset [trade-record-one-len] of myself length [trade-record-one] of myself
4 V, q3 K# N2 {; O' W: y. \
% z+ K3 X' O6 q( p/ r" r
4 E* g8 b- a' l2 W: L" S; L;;if [trade-record-one-len] of myself > 3
3 z. g1 C A jupdate-neighbor-total
; [ |8 j2 S3 g5 i8 t; A;;更新邻居节点的数目,在此进行. L3 ]" Y4 f: B
let i 3
. q, L5 N& g+ Z: P& dlet sum-time 0% U! c* }) M- C+ g+ O3 k3 t" o }
while[i < [trade-record-one-len] of myself]
, D* J: `9 [6 Z. ^+ R& ^9 l' I# h9 y[9 h1 l6 _! D F: A
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
+ k# h; a( U' o. }set i& ]# ~" v/ y4 W. N0 Q0 W
( i + 1)9 y) L$ v5 r: c4 v3 l( T
]. k9 Y) w3 N0 K* B
let j 3$ [+ n- a1 I7 q" J4 ~3 w& R
let sum-money 0! x7 p# |3 O h! Y( }
while[j < [trade-record-one-len] of myself]
/ C9 \7 f$ r) P4 A$ C[
0 t8 Z! o8 b j+ c' eset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
" p/ ^1 T; W$ q; E. Mset j
! B$ m7 M; v: v5 k0 E+ }# `2 A( j + 1)
4 c$ w1 p% s& p- p3 B& I5 e N1 t8 K# G]0 m+ n7 Q& E* O& m$ R' J
let k 3# y- I. N' q }5 v+ i% V' A
let power 0% D% T1 D6 I$ N
let local 0: Q' O# o5 v2 y: N) y( m& f
while [k <[trade-record-one-len] of myself]8 q" y6 L9 {4 `7 s4 k
[
- o1 J: ?* R. a9 V3 `# l, Jset 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 V7 L2 H& c5 b( p: ~( f' }: D6 k& Uset k (k + 1)
8 u/ O; s/ l4 u2 [( O2 D6 R]; j v' {$ i) F: `3 g7 M; E& b4 C: c
set [local-reputation] of myself (local)
6 }' }% V6 i5 S( S$ hend% s" j3 s% ]- }; ]4 m: z+ P
( C3 c! @. n8 M( vto update-neighbor-total+ n* |4 I) j7 D) a; ^1 v$ C
% E( O0 x2 x" o+ R; |. f/ X" Eif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
! Z) }. w% X$ @
0 K5 A, O7 p+ P5 A- e' I& R* d# h# n! C$ n* M2 z. B% a
end+ b( ?% c0 l4 u: Y& L- T7 P
: O6 |9 o6 [- M/ m5 x+ Rto update-credibility-ijl $ j( H5 [) V4 _: ]" M# z
! Q- J1 b9 J8 r4 K z* e
;;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 h7 v* V- U/ R# l1 A; o/ J t
let l 0* Q% v+ n+ z7 C( ~# G
while[ l < people ]
! F! A. t. s$ f1 \/ w. \;;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- I& r& J) _4 R, K( ~9 r, A+ e7 g
[+ G) W- o5 P5 v3 c0 k9 {
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)! Z3 S' u: ?% \5 Y
if (trade-record-one-j-l-len > 3)
$ k, P) R) o& o2 C) o* V[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
1 g0 U/ T3 _; m- }: H4 Ylet i 3
% u, v. U0 T4 J6 u- t1 Clet sum-time 0
6 D& e" |9 a5 D4 M# N5 w2 a" _while[i < trade-record-one-len]; N6 Z( ]7 ^" K: O2 q
[
5 U( D/ j- z, S2 K7 d- s0 rset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )0 s7 T) G: h& T/ _- y) q! G3 k( n
set i
( |% H, L( ~; U9 N$ g( i + 1)
. o6 D0 l' y& C) U% { d]$ Q: m" H$ X4 U# v! K: e
let credibility-i-j-l 00 i' z1 [4 H# ?3 Q
;;i评价(j对jl的评价)
# l( Z7 Z, |3 b# E2 ?0 Zlet j 3; \# a/ j) f) R
let k 4
8 w% W8 ?6 x2 A& ^' A# Xwhile[j < trade-record-one-len]$ @. a# V3 ]; [
[# p ]6 c3 l+ W# X% @/ C
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
' e/ e; M6 \/ rset 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)
7 g- r N0 y" m6 ^set j
' k6 f3 b. }6 O2 L# O. G4 `3 F( d) n6 L( j + 1)
- n7 H( E% j/ v]
# ]9 S9 R. {: L0 f/ @, \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 ))6 Y7 G4 r2 Z# G$ }2 n4 Q! X. o: {; j
" m1 V# L! e* o' L$ I B
# M) [( I T4 llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))1 z0 p$ h+ S T& t7 r! n. ]/ M
;;及时更新i对l的评价质量的评价
" L: N" O% ~7 s( hset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
, ~# L# W: o8 w' x0 m( X5 Kset l (l + 1)) m& G! ?0 O( l2 d: _
]
7 Q7 f/ |1 F: B5 [ Pend
7 B2 _0 r# c2 f: V# i% I) e! V
8 S7 b n+ x: [* o6 q- Xto update-credibility-list
; w8 ^# j8 @' z) Llet i 0* e" u5 s& J4 \
while[i < people]: `6 V, k" ^. f$ Q5 e
[) Q+ h0 i9 L, E/ u# O7 \
let j 07 k- X8 T# ^- L% j* U. P
let note 0( W& a. i( q1 B$ K
let k 0' ~2 |! W( D9 m
;;计作出过评价的邻居节点的数目, @2 X) o- X' A
while[j < people]
8 e9 E! M$ F* e! M, y[. {( B5 ~, ?. U6 U" D- X h
if (item j( [credibility] of turtle (i + 1)) != -1)% `& K6 O' M1 T( r, ^$ l
;;判断是否给本turtle的评价质量做出过评价的节点) ~2 I1 y- b/ ^
[set note (note + item j ([credibility]of turtle (i + 1)))
- G( v5 t3 a" g! x) L;;*(exp (-(people - 2)))/(people - 2))]
4 N( B# W* n' U! u: y1 ]8 y4 V+ S1 K: }set k (k + 1)) ?- i8 l1 x$ \' U) k
]$ M/ C5 V3 \ Y) v8 Q }4 N
set j (j + 1)+ g4 t# g; v' p$ X4 Z: z: G
]
* @; I$ b* f U9 n/ {" V& rset note (note *(exp (- (1 / k)))/ k)0 T+ @+ S8 _( ^$ N. l; |5 z0 R3 d( y
set credibility-list (replace-item i credibility-list note)6 e% B6 a+ {2 v9 B/ V! X
set i (i + 1)
0 N( n& V/ |9 g3 ^]
0 }) z& ~) }* i( b" z9 tend2 {: G6 S; \* p9 _1 A9 I
/ h) I$ [9 q3 X& i) y3 d
to update-global-reputation-list4 ]8 l$ D+ c+ V$ H6 K0 M. f
let j 05 v8 w: S, u( s: N( ]
while[j < people]# t. E: f2 ^, [$ T' S
[5 d8 a0 O# Y: T+ `- @9 ~& z
let new 0
" h8 m# I6 J9 s1 t1 M/ ?) R P;;暂存新的一个全局声誉6 A" F2 W# K3 c9 a, K/ V) z; j
let i 0
S4 r6 f8 I$ S+ t+ dlet sum-money 0( i7 j2 {: p. Y X" l# R
let credibility-money 0* T, i, ~8 ?2 x* k4 ^
while [i < people]" S: c! z! E2 P9 U
[
7 ?3 |6 }6 e% }! }set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
) I [% V& H. B3 O4 M1 z$ Eset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
- O* R+ f" C f- Z( f) Bset i (i + 1)3 ~) C# E3 F( R& K) |
]
0 A l. t# D0 X# B3 \4 u, olet k 0
, o: I$ I$ o c: u* k3 h" y9 D& M. wlet new1 0/ T1 ] G! X- p9 [$ M: e* Q' ?
while [k < people]1 S3 N0 W9 o# u* Z/ F' Q
[
# B' E3 T( P4 b" _1 x2 Kset 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)" s2 D, V9 ~* T& z$ \- ~+ j9 G- E
set k (k + 1)1 @! F8 C5 V( W* R4 @. d
]
( s% }6 G+ I+ Tset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
5 ~' t1 {8 y% R9 X$ dset global-reputation-list (replace-item j global-reputation-list new)* F0 b5 v/ j* A# ~4 P* J
set j (j + 1). b- F5 ]! J( {* E/ D( `& _- K
]7 a7 k$ |8 U6 H
end- r9 T& u8 m' |9 ^, E
" X' c. S9 H- e t7 S
% f( s4 X" X6 C: X
; ]4 A- e3 e. A3 P# ]7 B
to get-color/ w3 [% n! ` m" K/ A0 ?5 ~# t5 u
) A# X+ J& `, zset color blue
: B" t5 _ t( U/ c3 ~end# `1 a9 C; T6 _% M
: |9 E- D. }0 C4 { Y
to poll-class: O9 l, q0 z0 r: V/ R0 b
end
# f9 v: g3 v# \! o* {+ B" v) E, L
- O- E/ H/ b; n/ Gto setup-plot1
" i- P$ x# R7 ~9 `
% F8 I- N* K# u7 Vset-current-plot "Trends-of-Local-reputation"
% n) t, K4 {9 u' A1 v0 c
/ ^, W) p! _" D& _( i: _/ qset-plot-x-range 0 xmax
6 w1 O( |2 A# k4 B$ `. T. n, B/ k. e2 v: C2 s7 \& p
set-plot-y-range 0.0 ymax0 ?/ n: A3 K" [. y) ^* I
end
" {8 Y, C# P* l+ j2 s
) | W" U, c, Z/ f* {. K% Vto setup-plot2. I0 N! ^, z! V$ X
$ ^& [1 }, ]7 f z/ Y. V. _
set-current-plot "Trends-of-global-reputation"
; B& Q! p( W% P/ S; D
9 t% e6 o+ h# [8 }set-plot-x-range 0 xmax
, E/ a) w6 [! W( ]( V! A8 m+ y' G. k6 J P! R* w- w' A% x
set-plot-y-range 0.0 ymax4 z7 t# T9 J6 Z; `7 ]
end
% h) O+ S3 Y7 Z+ l- L# E
- C2 W7 t* V) X8 R) a7 h! tto setup-plot3
+ M- z- s1 {) V1 L& K8 \4 ^
' ^; F7 H6 ]5 @' M+ c: p# q0 xset-current-plot "Trends-of-credibility". k+ {4 ^2 ?$ k2 F9 z2 \- w* n
& l4 q1 o% I" ~1 b& w" ` R
set-plot-x-range 0 xmax
# H6 F/ V+ D. K+ z; E! l
% |$ F7 B1 u! V$ Y/ Hset-plot-y-range 0.0 ymax
5 F6 v1 n9 Z5 Jend7 J. r9 M' [; r& n6 i# j+ ?& Z
/ `, L3 H8 p9 A# u8 F/ r3 I8 i7 T
to do-plots' ?+ t, H/ \/ Q8 A
set-current-plot "Trends-of-Local-reputation", N* m1 `; _: ], d
set-current-plot-pen "Honest service"( G; I, Z: u# p$ y! `3 B% s
end7 J9 I' q T9 K! B
0 f$ Q0 N* n, Y' ^* F[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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