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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
3 T: Z. [+ q. n: K; _3 I8 cglobals[ |" N" ^6 e5 J4 ?1 b
xmax
7 c" w8 M U4 ~* x0 @ymax: ]8 N* X5 {. }/ z5 V6 x
global-reputation-list; P" k. U' C# G k' M* r2 X* l& R! i
! K R. L2 i; K/ \
;;每一个turtle的全局声誉都存在此LIST中( g4 ^4 B1 V1 @, R5 V
credibility-list: @8 E& i4 U0 C5 e5 e4 Y8 I* U
;;每一个turtle的评价可信度
2 e# L0 N! C: {6 ^+ P. \* e5 [; o, lhonest-service0 x8 }; h8 Q( G* A) V t$ `
unhonest-service
} n3 c5 M# q" goscillation
; M s0 K6 E0 A. K+ w; U4 l$ Irand-dynamic% K/ H+ W* n. }; t- h
]
) O' h* K: I5 a6 t
+ ^$ F/ Y W5 n' ~& T) vturtles-own[+ K, v# m/ J S8 S* L# ~, x
trade-record-all H, }$ ~) Y1 i8 \
;;a list of lists,由trade-record-one组成
6 O4 K* e% d7 E; l& f- ~' mtrade-record-one
' K/ e# Q L8 X0 s/ y; z) |/ 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
% G4 ~9 u- d' T4 q( W: \" H: Z
5 s! x2 G0 c, N3 Z( m, Q5 a;;[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]]0 q/ q0 a s0 r3 V% u
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]4 N7 P$ e5 {7 _
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" R( y- t3 V ]9 T$ B% F
neighbor-total" J- X3 d7 o) U. t) a' o) @
;;记录该turtle的邻居节点的数目" U8 }/ {$ K& p# f- u8 G& s
trade-time3 F6 M+ C/ r. G* E3 ^9 E3 N7 V
;;当前发生交易的turtle的交易时间
, x3 c/ l, N+ a7 ?2 k$ _8 Lappraise-give7 h3 s6 |& H" }& |( I. b
;;当前发生交易时给出的评价1 z. Z: {, W$ s! B
appraise-receive
! C! _$ Z! m) @4 i# r% O;;当前发生交易时收到的评价
6 j+ E9 ^7 q; ~* A Vappraise-time1 c# ~; @' O. e6 A- l0 W% @
;;当前发生交易时的评价时间# d' l7 h3 t# ~' G- b, L. n
local-reputation-now;;此次交易后相对于对方turtle的局部声誉+ ~6 G, c3 v: H
trade-times-total) A! @' r, k0 t2 a& o1 O6 H4 k
;;与当前turtle的交易总次数/ m. b( r# z% F+ T( N
trade-money-total
" s+ Y; T, M1 _$ N& N$ `;;与当前turtle的交易总金额
c0 H/ W9 o) L# N7 Q# I. L- Rlocal-reputation
" Q1 v- L. b; q! r# P$ s4 kglobal-reputation
/ c- v7 h0 m, ]+ @& e/ ycredibility
2 ^+ ^6 D( z' g;;评价可信度,每次交易后都需要更新* |; R* J1 ?, W- }, i) O
credibility-all
7 s2 D( D! M& W3 T+ f;;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
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- G6 K& D8 K9 K- l# v! u;;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
/ ?+ w8 t( s8 U5 `credibility-one8 q- ~6 i( O( I# u& L' [2 \$ L
;;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. k" H" N* u( [* Fglobal-proportion6 F0 ?) Z# ~8 l1 J: I- w
customer0 {6 b( { }* z
customer-no3 {4 k3 b7 h2 }" ?( c
trust-ok
# c' Q4 |( x" m& u; s. r4 ]trade-record-one-len;;trade-record-one的长度+ h. a0 \4 _& u4 ?# ^$ @
]; R* Z) ~; Y' O! i2 a# G4 d
+ @ U; R1 D, F$ G; l0 ] V;;setup procedure3 z4 t) q, }$ a O. c& C0 i
2 w: p l9 U" [, S. rto setup7 G8 X# }& F1 U* O* z3 m
- X$ r6 b, m! H4 p! x$ @
ca
% @0 g* |+ K; y' r5 K8 _2 L7 L
) d6 [( F& f" tinitialize-settings
0 L1 w! W5 y% f+ i: `9 O/ B5 |/ G" n" X' j/ e4 ?. B' e
crt people [setup-turtles]; c V1 x5 [! g
$ ]4 I1 M6 C/ [) _
reset-timer1 c5 R4 X+ p& d e
& d% q/ ?) P+ W- {& vpoll-class
4 \; X; {8 G" R' R- g; \* _! q; J9 B: R& ~
setup-plots
% d0 U; R4 I+ b9 e/ k9 x/ R2 X* @
do-plots
! q6 U9 b+ b- y( pend
( S) z) X2 r5 K6 C& ~
- M" t# t( f' mto initialize-settings
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set global-reputation-list []
! _- c- z; ~0 m& z) h9 L2 |" M) @$ m
set credibility-list n-values people [0.5]7 ]2 h7 R4 \$ f8 t; J* j) L
7 m& }6 [8 a& d6 |
set honest-service 0
4 |! a6 T0 @" |2 y9 n; B
" R. p, o& u& ~/ \" X( W. cset unhonest-service 02 D8 a- s4 P7 n/ K0 K5 `( X
& E: S1 C5 z c2 G Bset oscillation 0
; v; z& G8 {0 k; |) }, Z2 \5 B/ r8 B& D& Z3 a
set rand-dynamic 01 h8 w& ` H# ?+ N
end
. i2 e) C z) R) P6 E+ s: o0 C( _& N' G( W8 Z8 m$ n5 S& n- M
to setup-turtles T4 L( }; k7 n4 [; t# u
set shape "person"6 l4 y' M; ~# D6 X
setxy random-xcor random-ycor+ j/ x0 Q- ^# {. N& V* D0 U
set trade-record-one []3 n+ n( v. m ~9 S$ u7 }0 y
- }1 z: X+ }9 Bset trade-record-all n-values people [(list (? + 1) 0 0)] ; K! o+ C$ n7 U/ r' Y7 ` Y
2 L. O5 q% ?& Z- ~1 K( Iset trade-record-current []/ D$ h, ~3 @1 f8 w; {1 I( p" ~" h5 P
set credibility-receive [] h/ v3 u6 L( g7 `' g6 ^+ W9 b
set local-reputation 0.5 m- H: ~0 M0 a
set neighbor-total 0
+ Y( U9 m2 ]* P& r4 v$ T1 Iset trade-times-total 0
9 s6 e; T( w `set trade-money-total 0
# m8 z( c2 _( ~* _' wset customer nobody
; n; }- y0 q* I; xset credibility-all n-values people [creat-credibility]
# s, P/ W3 ^8 m1 J4 w$ }set credibility n-values people [-1]3 f1 u" A& `3 D Q, Q' t8 }' ~
get-color( T3 X3 m# \0 W; J/ o
6 b C7 z: K9 \9 e6 H5 p% tend
6 l. \5 i/ Z. a6 Q2 [5 b6 [( ^: m: w n5 e% c/ z) w
to-report creat-credibility
! p2 e' y* H/ C& j9 U' M4 `report n-values people [0.5]7 N2 F7 b0 i6 s
end7 U4 G3 k' \1 w- A. Q( k
" ~5 s( N( h+ j, t
to setup-plots `9 b' U* G( K \
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set xmax 30 v) E; H9 g( `+ f! R
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set ymax 1.0# Z) {" \# \ h+ L( |( T
7 |7 X2 Q. g+ f; Iclear-all-plots
- X7 q) H. W( q2 p# |
/ J/ {0 L7 r: p( H4 q r" O3 `setup-plot16 N, J( x. ]- z% c5 y* f& L; }
3 i7 k3 H1 p4 V
setup-plot2
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setup-plot3$ ?1 A8 i; V9 T) U
end( f" Z- r. T' h' I1 a2 H2 _6 P% m Q$ g
! F& p5 U% x4 |, y" P7 t+ \8 R
;;run time procedures
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; @8 |8 `2 P9 Q. A% kto go5 `$ `0 s+ s4 d8 D; Z6 Q4 r3 `9 \
. L$ ]" T8 ?( v
ask turtles [do-business]
# @) r; k2 N! Z" C/ z( u' Mend' P4 ]" g9 H; R: b
) i6 F, {0 p- I5 f
to do-business
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7 L* J3 z" G: }: @' ^. ]. R
rt random 360
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fd 1& M: y# h, U( [% T8 Z# E. b9 M
* ~! b6 |8 ]3 g$ R5 J7 Q) Zifelse(other turtles-here != nobody)[
9 o! T5 J6 V* E( a3 i# i
. o# c; @7 T0 V0 z0 bset customer one-of other turtles-here
* ]3 k) L5 r: W% q
3 u$ C! t( |6 g1 ?* M' d' j9 M* x# f1 M; S;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)6 g! q6 K( w& a: R, D' G0 u, Q9 s
[trade-record-all]of self8 @+ ?8 W# p4 f2 D! D
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self% v) O( _ B5 W2 B% i4 v0 G, \
. ~) d( X0 N$ W+ L/ W: I- q6 f# Z9 c7 Pset [trade-record-one] of customer item (([who] of self) - 1)
. [9 g- [9 T! G' p3 K! n[trade-record-all]of customer
7 t+ w" K4 p1 U* d& `; r* B8 Q n D: ~/ D
set [trade-record-one-len] of self length [trade-record-one] of self
6 `+ R/ P* M. C; A9 j
( ?5 }3 p: h ?/ Y$ S$ \set trade-record-current( list (timer) (random money-upper-limit))# H( U, e) |7 J) E$ N% l- c
% d! `% T) h: h7 A2 s6 o# Iask self [do-trust]
. K4 y- V i+ y G+ e;;先求i对j的信任度
$ _4 k+ y) O3 m2 r+ r0 `% f$ S7 n2 T8 G' Z7 W8 j
if ([trust-ok] of self)7 R) p* m" P( L' H& s; A% U
;;根据i对j的信任度来决定是否与j进行交易[
i) h/ p9 P/ T3 B) p3 ~: l) P: Nask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself3 Y6 Q9 t( |; o
$ h0 r" F p% @" k
[
: M' R8 D& Q( X1 w$ E5 I# e5 @4 B3 z, ]5 b
do-trade( J: [5 |& {6 `2 O* Y$ M' [
- n: m+ _# W5 h! V: {" f8 p- Uupdate-credibility-ijl' R- {7 f7 d7 {. i/ g5 g
" B: O5 j, o* X
update-credibility-list
% V8 o9 b" ]& k7 U. F: E9 Z. \) r n6 ]$ O$ K! t% ]" `+ G
& P) U) l% K* t# A7 ]/ s/ Lupdate-global-reputation-list. W, y A2 j7 h1 ~8 D! B
1 |* H) c3 c3 G+ i6 w5 [% j' tpoll-class7 Z. ^7 f5 k* I7 ], r0 M
4 T) c' [2 W- T7 X1 bget-color
) ^' f) f6 N- ?. M% V
4 z: ~3 x: l, _5 q- t! j) N7 L]]
. v- I) r' K7 ^! O! [1 f) p
4 ^2 p6 t) z6 G$ K7 P( Z;;如果所得的信任度满足条件,则进行交易
: I+ v/ R$ Q$ Z9 _$ ?/ Z: C& Z9 H& z& y+ ]5 E
[8 `- b8 K/ ~7 [& o+ J/ Y
/ ?! x. i2 p: j8 E1 crt random 360
/ V: L5 q. I& ]# m7 y5 c. }) t! }
7 {2 P) `- A5 A; o3 Y. sfd 1
; Z1 U h+ x- ]+ g/ [
8 q9 q1 x& W$ Y8 Y' I]8 A1 G, j3 d' i* ]3 n
" R, w+ L7 W: v& d. t. }9 aend, j! Z! U0 r% {. c* v+ J) w
) T% {2 b9 u5 ?# J* J8 Bto do-trust
( K S& D, Q, R8 t/ lset trust-ok False
& E4 P! h1 y, ~2 _/ W0 @6 B5 }
( n2 j8 M! {) L: K: j+ j) Y0 l; |& g
let max-trade-times 0
1 D5 [. x& V- ?' oforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]: e- Y9 ?4 u( T' w! U) \- `% d" Z
let max-trade-money 0( P* W; J6 d5 n/ f& n0 D
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
! ^0 \$ C/ I" P+ |5 plet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))* l t/ t, p) t9 V
( t: \0 ?$ [, e, n* W/ n
' {) w2 ~4 E- Z8 w3 r+ n0 e0 sget-global-proportion3 k2 g1 S4 w* x! I0 g
let trust-value% l) g0 `: ?! E: P
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)+ f8 H0 w% P' ^$ Q
if(trust-value > trade-trust-value)7 `4 Q5 x9 V0 \
[set trust-ok true]
6 B+ P! B) N" v. L2 `' e# Dend# A0 z% `, S* H6 I; A
: F' _( l3 \& x+ V) mto get-global-proportion
5 i% i) B# ~% \+ g/ n: xifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
4 ~& m3 ]3 z+ J. n2 J, p6 U& w[set global-proportion 0]
/ f! Y( P3 F. J! S( G$ X[let i 08 b$ _$ @6 U& M) h4 X1 r, Z5 s
let sum-money 0
0 [- v. I7 d, }7 t# d% d: lwhile[ i < people]
) c" h. ?' Q: Q5 V d2 s[3 e5 j+ R) [. x' g! @+ r
if( length (item i
9 w; R* g3 p1 p M/ T[trade-record-all] of customer) > 3 )
& ^8 Q/ Z" X5 b% |3 a9 I[% [1 A( ^( ]( b1 v1 E r4 l9 Z
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))% L% {' a7 I9 \
]1 p% e/ j" T' z" v
]3 O9 F5 H5 z# c
let j 02 S0 j# S7 ^2 S; _( s# p
let note 0+ U& v% J2 `! ^5 X
while[ j < people]; m1 M2 _1 L: }! l
[
2 |. J3 `% r- D; d2 W- Eif( length (item i. A& x4 J! A/ q
[trade-record-all] of customer) > 3 )
' D2 [* _, [1 a: m[
2 Q% B; [8 M& Z* |$ K. S/ R8 Rifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
' X: A% ?* x, p! O4 q2 M[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
. w- A ]/ N& b[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]5 Q7 c0 H6 s: Y2 ?- n1 f3 J
]
~: K8 v0 A A. l]
, P/ g* ?1 B1 Oset global-proportion note! e( R) F0 v! `6 H4 \4 Q' E* x; I
]
) q: o4 e; A7 C! T5 p) h1 Qend
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to do-trade9 z7 F9 c, K- |; B5 j2 \8 y
;;这个过程实际上是给双方作出评价的过程7 ]6 |+ A( H) i9 W- }- \0 j- y
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 b/ Q. W6 [& ~' R: kset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价5 Y D% n" Q+ D @" n- N' M9 ^+ z
set trade-record-current lput(timer) trade-record-current6 T9 u9 `( \: n) y/ |# ]0 j6 X& f2 D# Q
;;评价时间
2 |4 Z8 _+ b, uask myself [
" f# }7 }" n5 v& m' m* Nupdate-local-reputation
% j0 {0 _. Q. p* g7 S; Zset trade-record-current lput([local-reputation] of myself) trade-record-current
$ x* `% w) m! Z P]
* K O$ N. Q8 E# l- ? ?1 vset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
1 U7 x# R* ~* I3 B;;将此次交易的记录加入到trade-record-one中
$ G8 | k. `- \+ \' kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# B% I& g, Q5 H$ t' `
let note (item 2 trade-record-current )
* G( ^" f! {% i! a4 Z* V: k dset trade-record-current1 }( a) g4 m( J: L/ b6 M7 z: R
(replace-item 2 trade-record-current (item 3 trade-record-current))
O) K% }- e( a- Y% Tset trade-record-current
7 v% O/ a% C7 K0 d(replace-item 3 trade-record-current note)! C! ~1 K" q3 z
. }) o9 q2 T4 l9 D( o# H
0 W# M4 B: T9 t, b
ask customer [$ v, {$ F1 H4 W7 O+ w! h5 m' e' \* ~
update-local-reputation4 o6 A) p; z3 S! e) y
set trade-record-current* Q6 t& |2 r- ?' ^5 e9 t C# |
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) : C. W2 u: s' t9 e( ~: j j, w
]
/ W1 k! ]9 \( d1 h6 Y; m
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7 r' U8 i6 N |: Wset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
M0 `+ q1 `' B9 k( L/ t4 [) S" W) T C. ], h
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)); D+ j* b% x- U+ o% N3 H$ a
;;将此次交易的记录加入到customer的trade-record-all中& F4 g7 }/ w) r7 U
end$ Q; G c J# C
; Y1 g, ?+ O6 T7 D4 y; uto update-local-reputation9 X8 s" b: O8 S% Q$ c. P
set [trade-record-one-len] of myself length [trade-record-one] of myself: L2 S5 g5 a7 b
( [1 ?% @ H- O9 ^7 c
# [8 S$ t6 t4 b. i" b/ h;;if [trade-record-one-len] of myself > 3 ) U' x- g9 E2 b z G. j
update-neighbor-total
8 x1 r4 u- U, h;;更新邻居节点的数目,在此进行& V4 k! N& r4 X# v6 R$ e b
let i 3, `" H. E2 Y% q' P5 M% W
let sum-time 0
$ g. ^) D6 b+ ]) u! i5 ^while[i < [trade-record-one-len] of myself]
) B$ Y Z( }% U2 l' c[4 `2 a `& }, y; C# ]: Z
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )+ k u4 d; D6 Y. T" `
set i1 P7 B; D8 Q9 g+ d. {/ K
( i + 1), q" f G8 J1 K
]* q$ J: J; S7 ~' |# w% k1 W9 N# R/ ]
let j 3
) k0 t0 m: z2 i" d- P( jlet sum-money 0
1 M, `6 S: u1 Z+ a; V3 m) Y# Gwhile[j < [trade-record-one-len] of myself]) \0 q4 Z& h( H
[& _* Z: s7 V" a0 y8 k' K! e) ~8 |3 p
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)
# C/ x/ }2 U7 G5 j( gset j
: ~- k2 F/ ]9 K( @5 k0 p, h4 B* O( j + 1); O7 r( V' g9 a T0 S# p, u
]: e' q% B: f8 g2 Q# k
let k 3; ]7 o; X0 r4 }$ Q- ~5 A2 T
let power 0
% P* K5 y) S0 Llet local 0
% T4 U. h7 L" U0 t& Qwhile [k <[trade-record-one-len] of myself]' h; X, v9 Y' H; O) P
[1 y W3 l' J: E N8 y
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)
8 b% {3 } z, t1 lset k (k + 1)
* N3 S4 f0 D4 V- [- f5 J, Y, ` ~]; ?6 N$ [4 T: D
set [local-reputation] of myself (local)
9 p, N" i- ?+ l/ E m7 d6 rend9 l/ a5 Y0 m+ L, S: f& n
# g: @ i3 L. v8 J; e5 \4 S7 [' c
to update-neighbor-total7 {) Y& a: T' q7 R+ g2 G
q& |& k: l! u6 E4 Lif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
4 l" |+ S$ N/ x1 b+ ^- [& v
; R# G9 T9 `# }+ g8 L) z1 G# S/ O/ _2 _& a- ]
end7 q5 ?& I3 I9 K* M) j
_1 R( o( d/ o/ g5 @, P ~+ ^4 d
to update-credibility-ijl ! J& ?5 x' C) z" ?/ |7 E0 U+ A2 M% @: |
+ j$ M# N1 H6 Z1 A3 A+ O; a' U/ R/ 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。
+ I Z6 [! b0 J R: O& [# olet l 0
, S3 W) \: P( n, }/ }: Dwhile[ l < people ]
! N! `! f! A/ I! Z C8 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! R1 x8 g; }; q! k X1 ~5 O' Z/ a1 v
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
6 V% S" B5 T# f ^* r7 R7 Cif (trade-record-one-j-l-len > 3)
2 C7 q3 H1 d1 e$ z9 i2 M. O[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' _/ o" t7 j5 G; _8 X
let i 3
% L0 j3 }1 I! ?let sum-time 0
6 h3 m+ |3 K* E& D6 Uwhile[i < trade-record-one-len]* n( i3 g0 p& }
[
' M9 t {& W1 _! J* _set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ); R0 j" G# Q: g' W7 r! `; r9 Y3 G
set i( `* h4 h) e5 Y5 B' b z U5 w
( i + 1)
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let credibility-i-j-l 0
) r# X: s4 `9 C- D+ b" X/ c* y+ {" [;;i评价(j对jl的评价)
5 u" l q7 [' T0 rlet j 3
- n, U- p! R, s! Y; g1 \1 Q8 |" ?let k 4( N# i, \8 J, X' J o4 V- E" X
while[j < trade-record-one-len]$ a. R9 u' G8 B" @" L" X
[
7 J& ?9 n4 v# [, O% cwhile [((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
# Z E& a' a" {: ~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)
* y. ^$ ?( v0 @set j; f5 b+ Z1 y, w, U
( j + 1)7 i+ b5 c$ y+ B4 H6 L5 Z
]/ `/ n8 M! I$ @6 l) O$ g
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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))1 g; u, `; h, M8 |
;;及时更新i对l的评价质量的评价
3 @" ?) \+ g' E- t2 a+ ^5 Z7 Lset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
% d9 C5 y9 ^$ ^. ?set l (l + 1)# Y& P4 O7 G* I7 l0 _
]" ?0 w) K' _7 a6 z: W
end
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to update-credibility-list7 M& M( G' A2 V9 D1 @
let i 03 @+ {' \$ f/ i. ~
while[i < people]
2 H: W8 B7 U7 f# C+ ] o, d[! B: S) N& ^7 X0 S1 G
let j 0$ n' z* W* e4 l( p) J# n9 D2 W( X3 j
let note 0
" _* w2 k* t8 z0 zlet k 0
0 s; S& d8 ^5 T/ F" S;;计作出过评价的邻居节点的数目, t i y# z. S; s. y
while[j < people]% }7 R2 ~* Y& ?7 b+ m: C
[6 y' J- f1 |4 d* Q- H# e
if (item j( [credibility] of turtle (i + 1)) != -1)5 |0 r1 o, k; o. t0 x0 `; ^) m' h
;;判断是否给本turtle的评价质量做出过评价的节点
3 F4 b1 f- n I1 g[set note (note + item j ([credibility]of turtle (i + 1)))
6 [, }( h- x8 J8 k;;*(exp (-(people - 2)))/(people - 2))]1 f2 c9 ^# H- V* C/ l, z
set k (k + 1)# k, w3 U9 y( U; k# B# X
]
* Z1 d6 ~% M/ j, H4 Rset j (j + 1). O- v$ m1 q- u: X. k
]$ B# Y6 A {8 j
set note (note *(exp (- (1 / k)))/ k)* R6 F, Q) X9 Q/ ^; P2 U3 G' [
set credibility-list (replace-item i credibility-list note) _+ x( M- n, n& V
set i (i + 1)# r3 ?9 A6 ^+ `8 [% k
] y2 l" i, }5 W9 f7 m; k
end
( z7 j( i" i. Y
& A% S) w0 D% s+ T$ \3 n: uto update-global-reputation-list
! M8 T# ^8 {; L& m" plet j 0
: C$ h5 |2 o' E% @9 Uwhile[j < people]
3 y8 S+ Y/ B3 Q" q# K2 }1 C[
% c5 [: Z) p8 S% h+ R3 l, ]# klet new 05 z: f$ k2 a3 L0 X7 R1 f
;;暂存新的一个全局声誉% a) [) d0 W4 q) L5 D1 P B! B
let i 00 c3 r" y& q; }8 ]: o* w8 q a
let sum-money 0
- P4 i$ T/ Q* L8 plet credibility-money 0& c! w: ^2 K3 |/ m: y( F/ z0 S
while [i < people]' t! q; G* E6 W1 d; S7 X3 @
[
& q0 a6 h" I, K' i3 \9 cset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))). M$ j, I8 K4 U6 Y- c0 w7 {; V
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* F) W8 y" i7 Y4 Y/ k. D; m( Rset i (i + 1)* j1 H# ^5 }" s% T% k9 h0 {
]# T) q' ~( R! W% K# ?1 H) ~
let k 0
8 h+ G6 u& \' B xlet new1 06 N# q1 I6 b7 D9 T4 X1 t- O
while [k < people]$ l( R! Y% v) O0 W6 {) w4 `( n
[
; n3 o0 ~5 x7 X3 j) N3 [% J2 q( Fset 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)
5 J, O& b4 W2 u% cset k (k + 1)* u* `# g7 ~! k2 r6 L& S+ D- o. T
]
$ f' b6 O, C" l! xset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
" F& J4 k& c, Iset global-reputation-list (replace-item j global-reputation-list new)9 P! g j0 P* T( i/ H, T3 w
set j (j + 1)& Q: F, i) H0 x/ k
]
% L9 e- @" F7 Z; Q+ w: Xend
& o. y0 j; g. E6 u9 Z# l! e* ^3 c: z2 k$ U4 k* m$ N( v
: C2 x$ E& u K) T& F
6 S1 I" ^8 x% a5 P- M, d: d( ?: D
to get-color
) g* F6 {" G( g0 ^! n4 E: k# m
& K" C* S8 z* `# I; tset color blue
! G1 O% G, [9 S2 Z$ h; Send! V9 o _, `: X% J' J
8 H$ W% K. B$ e3 F. k7 J
to poll-class
: N, F- T }. X' x {1 Q Z0 Qend& p7 I2 W* k4 _8 |
( o7 D% F, V) {4 nto setup-plot1$ Z- i q( ~& ?* b: ]# z. J
$ n0 C- l8 f0 D8 K5 yset-current-plot "Trends-of-Local-reputation". G9 m) D! G4 Y: o ^
3 z5 P2 [: J2 a2 @6 jset-plot-x-range 0 xmax
5 `1 q1 [+ M: G) @, Q6 {0 W3 Z$ C2 S5 Y$ H! g/ `5 R
set-plot-y-range 0.0 ymax
9 j( K4 h6 q7 }1 p5 M% j# a1 {end' p& O, Q1 D0 h5 D7 C% P
. z+ I( d6 ?( O+ Y6 {' o! V3 o, I
to setup-plot2
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set-current-plot "Trends-of-global-reputation"2 f4 M8 |8 ~6 Q, N" J- S+ @7 b
/ b# a$ J3 A6 Y4 X
set-plot-x-range 0 xmax/ Q! ?6 K" X+ ^. H! V3 s
a7 A- k/ ]( B6 n( K
set-plot-y-range 0.0 ymax; y* L8 s" h! c
end8 @2 j# D0 K: y U8 `% h
/ b) ?! H2 K# k( B3 g
to setup-plot3
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set-current-plot "Trends-of-credibility"9 B' F, Y5 R2 f% [
. l( t" O0 j% g+ }. w+ D8 f
set-plot-x-range 0 xmax
( [/ X/ k- [* A5 \* r# O
+ u! A0 N$ K9 cset-plot-y-range 0.0 ymax
; z8 z4 T/ d. F, R! R% oend7 ]4 r) U& d9 N. Z
4 S% _" |- y& L; ~$ C
to do-plots ~8 ]. i R i+ i+ v
set-current-plot "Trends-of-Local-reputation"% E+ @7 {% Y5 U) C! ~3 @ U2 p4 K
set-current-plot-pen "Honest service"9 s% ~% L! e# D3 |& H8 T
end
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; ]. F7 W; `7 P3 g2 F[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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