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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
) I. } l! h. x! eglobals[
/ Q% O* f+ h" I9 n, Yxmax
( n( j/ N2 M2 m% M( y. ]ymax
. @' |: ^* |0 @4 y" vglobal-reputation-list
' [7 p9 K! F' P' p& e0 ~" N( N# K {' \% j- z
;;每一个turtle的全局声誉都存在此LIST中' l/ b/ Q5 w8 [2 z9 [& c
credibility-list" A9 d. t: g$ Y/ O1 \
;;每一个turtle的评价可信度% i' E1 U4 D" L9 Q
honest-service6 ^5 K% W5 L; }
unhonest-service) C9 l. W1 F8 W1 _! t( O' Q
oscillation
8 l/ N, Z4 X6 @7 Mrand-dynamic( G m! x% c* v, v0 O) p* u( t8 O
]
1 I# k, A) J+ x5 f9 |6 S2 K. E: t9 u
turtles-own[: ]( s* r: z6 I$ P! ~/ s6 k% H
trade-record-all
9 {' [. x" D* K;;a list of lists,由trade-record-one组成4 `2 s' W4 N5 Z
trade-record-one
7 R6 `2 D. I; R9 J8 Y/ u5 N, 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
J0 a5 j( e) Q! C+ R& O
, e% @* H$ i( a; S3 y6 x0 h" j( j# |% Q;;[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]]
8 `* l5 x8 x7 B' M7 X" n3 ?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]: C* C8 |( Z8 R3 {, j' 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
& @2 n' o- @2 X1 gneighbor-total
# [' R& X" Y& \( l9 m2 {: X;;记录该turtle的邻居节点的数目1 Z" d4 a1 \2 O# q
trade-time
" F ~0 s+ [+ V: y( b;;当前发生交易的turtle的交易时间
$ L& f0 A0 J; H* c) vappraise-give* d* N) O1 w! T
;;当前发生交易时给出的评价9 X6 o" e: d0 M2 Y3 Z, x; [+ A! A
appraise-receive
9 i, N, A, u# ^, ]; z;;当前发生交易时收到的评价# d9 U8 y3 n C) Z6 O& g
appraise-time/ y5 F$ c3 U4 o; L/ B: B# C
;;当前发生交易时的评价时间
1 d W8 p+ E3 m1 ?local-reputation-now;;此次交易后相对于对方turtle的局部声誉- [# M( r+ }' K3 x) c8 v
trade-times-total
' _2 U3 i0 [1 Z;;与当前turtle的交易总次数/ Z9 O6 b5 G9 r+ w
trade-money-total+ L6 Y' g1 S' w
;;与当前turtle的交易总金额
; [; s" C: M3 hlocal-reputation
# a4 B n- I* e0 G9 g) eglobal-reputation4 v: C4 W, u- V) `: B
credibility: y- B5 g% ^$ ~" a9 T+ v! i
;;评价可信度,每次交易后都需要更新
# [) \( d# ~ |6 j1 C8 y. V Zcredibility-all
1 X, t, t: c3 t3 T v. ~3 o;;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, T4 C* z9 f$ Y* _
* c' W7 j9 H: b4 t7 X;;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 [) B( Q" J: c: Q$ X6 x
credibility-one
8 q# Z' h, c- h4 t;;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" A# z7 X" K/ V- A6 C1 S
global-proportion
$ O# [. T: m1 F5 d& e; ucustomer
3 _2 c& ^. h: O' i4 m/ mcustomer-no: n, x$ e6 f/ Y" T" s( ]% M, X
trust-ok# T8 U4 _4 V! Q# ?/ E
trade-record-one-len;;trade-record-one的长度# P9 C0 R2 m2 ~# K& z
]
- W* ~* ]) v/ d4 ], \9 e# N, P O/ S/ `
;;setup procedure
! @( g4 `) G* i2 m- b2 `* H1 b& \' ?
" W, s9 \. S5 _9 z4 }& eto setup
A1 c9 {- [" @1 W# O
1 ]% }. v- ~7 z! E# b# {& _9 zca4 L5 z# N% Q. y* j! z# o6 [
( Z( L+ a' |* y- L) d8 N6 winitialize-settings. k, u5 N4 o: A0 _
8 A* d& v" m2 ]2 [) gcrt people [setup-turtles]
% y6 v3 {; u" k7 h
1 S& n4 v* U4 q3 E' Y L9 Freset-timer& k+ P; T; k' Q
& r1 K6 |4 t0 O) v ^# kpoll-class
- [5 j" B4 Z. T
9 A9 Y6 y, S9 B! s: csetup-plots& {6 d7 ]# F: S/ [' v
. q$ p0 s5 h" }% J& K! I: L9 C8 L5 bdo-plots
6 z9 a3 C* Z) n5 i3 Bend3 E5 ^1 I) _1 n) f9 |; I& c
$ { I7 v9 V6 Z1 M4 U j1 K- d0 n5 @0 _to initialize-settings
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! h: Y: M" S6 K3 d* y; \set global-reputation-list []( k6 A0 \$ S4 a- T8 E
8 H& j L a: l: v" ~! eset credibility-list n-values people [0.5]
$ e- V7 Z6 _0 V4 S8 F6 A9 I$ H- V; ~" e% v' I8 W
set honest-service 0
+ p6 u1 s9 r- G* ?8 P' O" o5 |* }1 U4 F5 R3 d. a1 }( j
set unhonest-service 0
# N& Q' T( v3 c) E) U2 p; x6 \; Q! J4 V
3 d O3 z, D. A+ x+ Rset oscillation 09 D% Z7 s. {- C2 W
" Q: A4 A- ]. a+ B( v0 b/ m* Uset rand-dynamic 08 _* j" x" t3 V- q& |5 J' K
end. | L5 D+ I( n$ a$ n# R
. ~* G, _ J8 j. Z# e8 C! p# }to setup-turtles ! l6 k) L' M+ V0 P6 h" q
set shape "person"2 d5 i3 N( I- P# P
setxy random-xcor random-ycor
1 L( [$ L) ^3 _" Z# `# Lset trade-record-one []
/ C; @' F" u x: ]- T: P( l9 ~! j5 b, |: N
set trade-record-all n-values people [(list (? + 1) 0 0)] : h3 A% O1 V7 G0 C
0 W2 d8 F6 d- {$ c, Wset trade-record-current []
! @7 N# n7 @ X1 D( b+ ]& ~set credibility-receive []; w; K6 j4 A# h% l% m4 o( M, O6 Z
set local-reputation 0.5
0 w7 O1 W0 f" q7 [set neighbor-total 0
0 E5 w& n$ G3 `, v- bset trade-times-total 0
0 c9 _1 ]- W% Fset trade-money-total 0
& N) F# _. `( K2 r# k2 pset customer nobody r5 J- M' m6 \2 Y5 ^! `0 \
set credibility-all n-values people [creat-credibility]* ~* G+ G" x7 I# O
set credibility n-values people [-1]* w+ [; I; b2 b a# ]3 c% w
get-color/ B7 H( s" n4 S$ C
9 {1 M# E7 y" Iend
5 k! f: ?5 E: V5 w6 G$ y) |6 P
+ K" F/ a4 D. B- t6 v" Hto-report creat-credibility* x( k3 l5 `* i7 r: N# ?
report n-values people [0.5]
- M- d7 v0 r1 f0 Y8 a& l: Tend
! N6 H2 {0 E s3 w. s3 g) k7 l: j1 t
) \3 J3 ?/ H, y8 G3 y( H l) gto setup-plots
( j- o. `/ B+ ?1 v. v; d9 d5 N
* @3 V3 X& q2 T$ F. b" rset xmax 30
8 T: v0 J3 `, m- W. U7 {7 x& r- W* M4 {& Y% e8 A$ z) ~
set ymax 1.0
3 [( ] K$ E* |
& N8 `, B0 ]4 y! e* D9 W1 | C/ jclear-all-plots% Z1 j+ z: U: R
& r& E0 j9 H4 B: Z1 e! z3 L8 ?3 psetup-plot1
1 F& `8 U9 W2 C- a$ v5 b) S
0 y& p5 }- z- l# @. b# R8 lsetup-plot2
6 I' O" v9 _6 S2 P0 @
+ P0 z& \; J3 J+ D0 csetup-plot3* n6 |0 C. \' N* Y. ~
end* l8 C2 x O a4 o! n# G& h
6 F; h5 T( H: [5 e/ }0 P7 ~7 L
;;run time procedures
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3 a, H2 L7 i! \! Z" {to go" a/ E {4 u& h' A0 V
" B3 G0 x/ X' i! C1 R8 _ask turtles [do-business]
. `) {( k& }0 [& L+ l! N5 [end# r* G9 s+ T. f$ d* H1 P
, }3 F4 s" ?! T. H* tto do-business . }* D: b+ C* B h
; { G- R1 c" l0 D* w5 B8 Z! A8 B) I4 d, ~& c) v& S
rt random 3604 n: }: \+ o: B% v: M
/ Z, y7 B) x7 ?5 V' \+ v
fd 1
2 O4 a* S, I2 C1 L# p+ c+ g- Z/ ~) F9 Y/ f2 E3 y) ^( E7 h$ X* H, w
ifelse(other turtles-here != nobody)[
$ z( o6 t% r6 [. i2 n: C6 D1 W, {. w8 K1 G" H" k
set customer one-of other turtles-here+ q3 b g) y& \; F" r
8 g# P% x$ H! q% c* |4 I
;; set [customer] of customer myself: N) a- W( `( r z) w5 ^8 H1 W
; L# O0 {- Z% r5 p; Sset [trade-record-one] of self item (([who] of customer) - 1)
z( e4 J9 [. D! `- {[trade-record-all]of self
; F p& f. i8 z) G;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
9 L4 J6 g; U1 i f# b& r% _3 U5 I( K E
set [trade-record-one] of customer item (([who] of self) - 1)7 H% u, w' j8 Y) f' M! ?# r
[trade-record-all]of customer
5 W9 d0 Q* h& T% P$ h- ]0 d
4 w6 b- \' R5 D- oset [trade-record-one-len] of self length [trade-record-one] of self) h# ?7 ~2 }, G7 v: F; A7 u
" T0 t0 m) H) q0 S, A/ [& V/ Y# `2 Y6 y
set trade-record-current( list (timer) (random money-upper-limit))) _8 R# C2 Y- t- x2 N# a8 N
* s3 a3 J9 A: b1 Q: {
ask self [do-trust]; x) P6 \9 u, Q# J8 S; [
;;先求i对j的信任度! r, K# J0 q) J- i8 }
& T- p7 ^- q+ r
if ([trust-ok] of self)" ^( ]9 m# y' r4 I! a* y3 }" x) A
;;根据i对j的信任度来决定是否与j进行交易[
1 G1 \/ m- m: e$ hask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
' m2 v9 @) }; M' m7 B. q' U L! p H+ E% S& m2 j, y$ Q3 u/ v4 W% F
[
3 k) [: \& w% n5 x
7 \5 q& i* c( ?( d/ xdo-trade; T" ?% I! \3 J& i9 J, s5 Q9 v+ y
1 B; Q9 s+ _4 y2 `# K) n( hupdate-credibility-ijl8 Y+ n% R6 [" [9 D9 k6 \3 o
( h/ y5 R E- @* n! n6 Z. I
update-credibility-list! D1 Z3 Z& ]- r) o
' J3 V% b5 \3 Y1 |
5 e' O; Y6 `0 N+ D- B, T' ^$ Wupdate-global-reputation-list
2 [( [# {8 J! i/ k: s$ y( S/ z
6 Y+ F& x6 E a5 ^, Q6 W: }6 U$ W( Mpoll-class
0 g$ _) E4 f t3 r
: }8 E( t5 g) g1 ?7 S- Y; M# qget-color
8 c8 a9 f, Z/ D8 Q+ @# M% @7 A7 V! `# [/ v+ w \3 m8 ]
]]
5 H0 r1 u( K1 \/ \4 [% ~7 _9 P6 F" U7 x5 I: `8 j
;;如果所得的信任度满足条件,则进行交易! l5 N ?% X- G( `9 x7 A8 c$ p
% k% P0 ` U6 D: E# r[
7 p. @5 i% a! L4 T4 P, Y' K; l7 q% J, V+ X
rt random 360
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. y) g: A% T- d) r) U: xfd 1
. \6 {, ]# w9 }) z
; \9 K! i# i# @( ?8 s/ @) y$ O]' C+ _, ?$ [8 A
4 J) t& Z. y1 }. Z3 @end- L# y' ~1 [' p( s6 {
/ O- r7 \! M5 S6 Vto do-trust
4 @' Y4 p' H; \% B" Pset trust-ok False8 ^6 Y2 G5 C" _7 y
- X& G! ^# [6 U2 y
0 K; h( R, D1 T0 m8 g8 x& W& ylet max-trade-times 01 H* _2 N7 H7 d* U% R$ _# s
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
4 i' m2 Z" q1 ?* I2 A9 alet max-trade-money 02 T3 z5 ?- A$ @
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
9 j! e: e0 j' Y7 U5 k7 ?2 clet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
3 q0 W, `. Z/ f- @% m. D3 K5 v' Y% J% j0 F" M) d
) ^4 n, H! J' R$ Fget-global-proportion
* W% I+ | e$ ~# k" Plet trust-value
$ a4 u' ~* K3 _8 Y' v- Qlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)5 Z. C6 s/ F$ R3 ]2 \2 a
if(trust-value > trade-trust-value)
7 l, g( p5 e h4 N1 ?[set trust-ok true]
. W: Z- d6 h/ l) xend
& h9 x" g! _+ ?7 n. e2 H, u8 h7 \: _3 Z1 O( P7 ^
to get-global-proportion
5 \8 }+ z% N) _/ M" `! w8 Gifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 s- y5 Y% @, G0 o[set global-proportion 0]
6 E* N l9 C6 y' @) e+ f[let i 0
8 F3 H- y7 ]* I; C; L, K0 h7 Ylet sum-money 0
0 e- i( p- ^7 j9 S8 E) A3 { V. Kwhile[ i < people]
0 \3 E* U. t" x+ g[
( J" C( K- c8 F. z# g1 |if( length (item i
9 S# w6 L% q/ x- z0 y- `6 g( r[trade-record-all] of customer) > 3 )+ ^" i5 |5 _$ F8 ~: }/ d
[: z" a+ v& s" f- U3 X: @
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
9 f& \" a* a' J9 B8 z]! _/ o, G" j O- v8 j p) B
]
" f" W2 P, ]) Ulet j 06 ?0 ?0 H7 d4 D9 p0 q H
let note 08 s f! J J) e, ]! r
while[ j < people]) o$ X* H3 T( s3 ?# j% J
[
& Q9 {7 e! L: Nif( length (item i
; K9 x+ { W4 q5 T0 a/ T[trade-record-all] of customer) > 3 )
6 s0 u7 ~! e. ?+ L0 F[
1 ~7 Y2 S" k( ]1 C$ Iifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" y! [: ^1 m8 q. M- T
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]3 R4 B6 o4 s$ O
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]) c8 \- F d ]. z" C
]
, [/ H/ L: J& p9 m4 n* I]
) g* {5 s: z0 e2 b* f" kset global-proportion note2 T( T1 ] F2 E( f* n8 a2 n
]9 z) z# f* Z0 _2 p5 \6 P6 h; ^
end
' `, y% M& t: z0 ?, `8 H* p+ _4 N: _$ n' p
to do-trade
+ }: O; n! U) Y/ I;;这个过程实际上是给双方作出评价的过程8 Q ?' M5 S, V5 j( r6 F# q" \
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价5 k8 Q1 V ~7 d4 K( ?+ T; w2 K
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价! m/ g2 I3 Z0 J# e. |
set trade-record-current lput(timer) trade-record-current
& D; |9 R# n& g, ?, _% Q;;评价时间3 {, V, W. _2 S2 V; s
ask myself [
+ w+ u/ g4 n8 L/ U6 Iupdate-local-reputation; q9 s, s; K; Z0 C ~5 l
set trade-record-current lput([local-reputation] of myself) trade-record-current
& k6 x+ P8 c8 _( V6 A9 ]]- q" f) U1 _, x9 h. Q
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
5 _+ g+ j# l5 r: g' t8 l: k0 k;;将此次交易的记录加入到trade-record-one中
/ x. n& }+ t; Fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)( Y6 q! Q' r5 k
let note (item 2 trade-record-current )
* J3 M' g8 ^5 Z- O+ zset trade-record-current
$ y- g6 x/ R% X4 G( o(replace-item 2 trade-record-current (item 3 trade-record-current))
9 S4 W# N/ O" G. ~$ X5 `8 f Uset trade-record-current
6 `) w9 }( }; D. X" K/ K0 a(replace-item 3 trade-record-current note)
5 y/ U9 }& R% ]3 m0 \; n* y* v4 e8 X# e8 Z7 T% w
& a; J& F- d: R" I# m3 S, A w8 Pask customer [, g( V2 r7 O* d s
update-local-reputation
" h" {6 U* ]3 jset trade-record-current
7 K/ f- C, S# y2 f s0 a" T# ?(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
! l3 |. r# C2 S5 H$ |]
0 F ~+ f6 Q. h3 l" w2 a- S1 }2 D; s) |. p! s
/ a5 _) ]. [; I; f$ l/ }* Eset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer+ I% ^2 t3 f4 X3 _6 o
* R3 t$ b, u7 U8 [ H+ Qset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))/ t4 W, x7 [7 [6 U' a G$ w' I
;;将此次交易的记录加入到customer的trade-record-all中, S6 ^" P2 j- Q8 i& e
end9 k z# u) m9 Y6 k5 d4 u
! D& P; Z N7 G6 C# E% r
to update-local-reputation
& a5 E9 s% L( H2 Iset [trade-record-one-len] of myself length [trade-record-one] of myself
1 r/ O$ e% Q, R6 y6 s, l% P8 m) O+ @: T
7 |, C- {& i7 X0 H0 ~3 I! ~% q/ S
; I D2 s' |: t( Y2 i- @;;if [trade-record-one-len] of myself > 3 ' G n0 _4 j$ n$ @$ i/ o9 r7 ~
update-neighbor-total
6 S. B& i. F( o; ^$ v$ C) k# e) x; Q;;更新邻居节点的数目,在此进行
! w ^% n4 C! w2 G+ y5 P) I, olet i 3
( x$ _. O5 k8 |$ q( r: R& Q/ Clet sum-time 0* l1 q' D2 K+ c# S9 \* E
while[i < [trade-record-one-len] of myself]
6 R7 o: ]& n( U+ b& _/ D# ?8 Y) O[
e P$ n3 ^$ zset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )/ V ]4 T* w$ k4 Q" [
set i9 C$ q. V( K! U. r: f$ A
( i + 1)
& y& H# ?6 t+ ~) m! K) N; u]
# A7 G( X; j7 P( f, Q0 v2 G' Klet j 3
4 q# ?) {% w& [2 T9 n! _9 Qlet sum-money 0
' G% w. W/ ?5 @( i3 owhile[j < [trade-record-one-len] of myself]# o! h; P2 ^0 R$ y+ I, s3 q5 r
[
- T A7 e! I7 m" oset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
/ }; J8 N9 R; h$ E1 |% Aset j
5 ]/ B5 A0 \# H/ b2 T7 x( j + 1)( i: K9 }. G0 k" N
]9 p- H+ G P3 v1 p3 F- r" S& |! M6 C
let k 35 j' T: v/ f" }/ X n9 |
let power 09 y: I8 G3 C0 U+ t) Z
let local 0- Z) ?! |! n8 M# ~
while [k <[trade-record-one-len] of myself]
8 h. p$ z- g4 Y- l* m[. t9 a+ F8 S5 g2 R
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) 7 \- O0 u' V0 V3 Y$ n! b
set k (k + 1)% h M- X* H0 v \& Q
]
+ q5 a* U' _( Y- t8 i% gset [local-reputation] of myself (local) z2 S* F; A" o
end
& }% V1 U9 [' y; ^/ }. |8 K6 W" L# t' f2 Z- Z+ n
to update-neighbor-total8 c* ~6 m0 ?2 g# f- g& p5 A
& K" Q1 o1 Q! \; \; D, S
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ], D% E) S Q+ h+ f! M2 A, P% P
% t; q0 S( f1 ]8 O: W6 D
! B! L- n: B' Q! t; c% w' uend
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to update-credibility-ijl
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0 g/ `: F) e9 R0 H4 U& o& L;;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 }- g7 q' P6 [; I/ U6 {( g
let l 0
v* \1 K% ^0 c( v1 T) Ewhile[ l < people ]
, D# G% G7 ^! e' E, F2 d;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
* D6 f' l3 @- z" X( yif (trade-record-one-j-l-len > 3)
6 e' Y7 a6 y# I' _) 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( d* d1 `( Y3 s2 ^
let i 3
2 d6 E9 N* P$ x8 qlet sum-time 06 k1 S% U4 m* @/ m9 H% B
while[i < trade-record-one-len]3 a8 B) k/ c9 m6 p. \# u
[
1 F! {. V1 h/ w( K4 ]+ Oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )0 A: V, ?% J( B: n K
set i
( f* n/ U e* [9 Y* p) h( i + 1)
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3 R/ j- ?2 V m* i: Qlet credibility-i-j-l 0
" k7 |" n( a3 \: I+ q;;i评价(j对jl的评价)
+ f6 X V+ }/ f) x d Nlet j 3
2 n3 s" }' G3 N; Slet k 4, D2 }! R) }/ H. w
while[j < trade-record-one-len]
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' F; Q! [+ a, N6 Qwhile [((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
2 E9 k9 F- V: Z, L; H+ t9 A. Sset 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 a9 s* _+ {9 {% T& V/ zset j
: F# e' v/ ^' L6 G" a( j + 1)
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+ ^0 ~; H, X8 R3 |3 oset [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 ))" `$ S2 N) I, e4 f, ]6 Y
" a- a: d# r" h- q/ B7 g: W) f
2 X# k8 U2 T$ Y5 ~let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
- e9 Y }) ?* F- p;;及时更新i对l的评价质量的评价3 K$ _$ m, n7 u
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: W" f1 T( z5 `- J5 q. @1 H/ Z
set l (l + 1): O% k, E! p1 O+ ~) C
]
' G% v4 O9 ~3 N9 ~4 Jend
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to update-credibility-list
3 `, k I6 ^- h) g+ flet i 0
- d$ m' e6 r- W$ r, N3 s( Q7 uwhile[i < people]
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# F- w7 v3 B" xlet j 03 M& \7 S7 I6 T- B$ a7 G: i" H2 U" p9 w
let note 0
7 j6 @. A, X3 L* [let k 0! v, L3 Z' r( d! d( n
;;计作出过评价的邻居节点的数目; ^2 d" Q, u4 f% K9 l$ |
while[j < people], p9 R- u% h5 Y3 O" _1 `1 x6 g# m
[
' p2 i* z) D1 ~8 ` C% Z/ b% Uif (item j( [credibility] of turtle (i + 1)) != -1)
: G t: u7 q7 A, U;;判断是否给本turtle的评价质量做出过评价的节点" v0 \2 d! f b
[set note (note + item j ([credibility]of turtle (i + 1)))
- a" O3 d+ d1 ?9 k4 V" F, ~9 d;;*(exp (-(people - 2)))/(people - 2))]( e7 v$ T+ f' r2 e$ y
set k (k + 1); n1 [! W" T: [$ m7 j. s# ~/ w0 Y
]
: a* ~$ j. y8 E/ q. @$ t" H4 bset j (j + 1)
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5 W, _( a( J0 R1 X O3 w1 z; L/ qset note (note *(exp (- (1 / k)))/ k); Z9 U- a' I( i4 A" ] {" b$ f
set credibility-list (replace-item i credibility-list note). A! Y1 G; x5 v) l) f
set i (i + 1)
( k; t$ L3 J( T]
% m) U% c, L5 P# A, ?% [end
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; I# J1 e# j% Y" }4 cto update-global-reputation-list. F3 r R( x5 T l) |
let j 0
+ Z- p5 `6 e/ ]2 t7 `while[j < people]
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let new 0
9 O8 i* E; {% l3 k! `7 G' N3 y;;暂存新的一个全局声誉$ n1 b d/ n! ^- g$ q
let i 0
! W; @' a- O5 ] hlet sum-money 0, O2 Y/ e2 Q R1 z; k; z6 \8 O/ X
let credibility-money 09 J5 U3 O. t; d
while [i < people]& T. f( w5 U; o: C+ y# M: {
[3 J" F" y* O6 \
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))7 ]( Y2 ?+ B6 X+ S+ b) }; q
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))' w* Y3 J2 F; J
set i (i + 1)
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. j* U) g: \+ C1 q! j5 olet k 02 m7 _- \0 A! w: h. b- J0 V. u7 O7 L
let new1 0
9 I% w7 `( p. c$ t- ?while [k < people]
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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)
0 W' }$ H8 k8 ~set k (k + 1)! ~3 O' \2 k1 F) D$ O. ~
]+ x( X* [: S8 r! H# T; m Y1 S/ M
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
3 ]' J, U& w. e1 s- |* O" jset global-reputation-list (replace-item j global-reputation-list new)* H8 N5 u: u0 j7 ^$ @1 r, o
set j (j + 1)
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4 z3 ], W6 W' Mend4 n. e( I: J5 d6 W4 h$ S, ~
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" ?5 D' W& O- A1 `" x6 |8 gto get-color
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set color blue7 H) \$ c$ l6 l8 n. |$ }- a0 ~4 R
end% _3 c4 W/ i/ |# @& L
6 A! {) P" L z, X, _' \, v3 z( _to poll-class
6 n- B8 h1 A6 t2 _9 f% d$ }# }- ~ Cend
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9 b$ r( p- ]5 `& w, @% Cto setup-plot1- t! |# s4 j) J; q/ L
' t" g2 ~; e, T* r+ Z% Yset-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax
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0 f5 N: m+ @" V" Hset-plot-y-range 0.0 ymax, l' I4 ~4 C& O" u2 Y
end9 l4 Q% G2 C" s* c9 q
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to setup-plot2
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set-current-plot "Trends-of-global-reputation"
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set-plot-x-range 0 xmax
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/ U E* b4 F7 J. Y/ q; tset-plot-y-range 0.0 ymax8 E$ o' [5 H9 H9 E8 L' I& m2 |2 e
end" z% W$ w( t3 |- N+ \1 q
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to setup-plot3
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set-current-plot "Trends-of-credibility"
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set-plot-x-range 0 xmax8 V2 D- f: m3 z: I
8 u+ k l) K: B8 [; R! g$ Y7 S
set-plot-y-range 0.0 ymax
6 ^/ b5 d$ U& R9 Z% `. kend
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/ Z# d8 U5 a/ z# O. g$ X rto do-plots$ n0 [' e2 N4 |, v( I- z8 z: X+ Y
set-current-plot "Trends-of-Local-reputation"
1 w9 @3 N: Y- [/ w2 `set-current-plot-pen "Honest service"+ W7 G( t O( `" P5 k
end; D, D. F. I) @7 p
+ L2 i2 Q$ U, T, O, d[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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