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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/ K/ M. r1 |8 z, Z$ n
globals[1 v3 r/ \: q% N3 r/ W6 n
xmax
$ v' G4 H/ ^& p1 cymax5 ~( U: |1 @ c5 y! i7 ]
global-reputation-list+ S$ k( R* _, f q
: F2 {: p: R3 e9 [/ [ Q1 S;;每一个turtle的全局声誉都存在此LIST中, N8 {- N; w( [ B s
credibility-list8 w" }0 m; s a( ~# j
;;每一个turtle的评价可信度
. V) c( r( y# ahonest-service
/ H/ U+ n! m$ A' junhonest-service
1 H5 `5 }# F" ^% }oscillation
! U/ ?$ j) _% f7 P3 @rand-dynamic
7 A5 |. m4 G6 L]- J& L- e5 z D* C! e2 ~/ k
6 R( l8 O% A2 S) x1 m& \, P
turtles-own[5 v7 T0 y0 \3 i/ C7 k* p1 W6 w
trade-record-all: H* P/ O0 F1 C7 R, ^& ?3 w, F! [
;;a list of lists,由trade-record-one组成
8 \2 j/ c* d6 Z3 F7 R9 Rtrade-record-one
. N! q! _5 O5 ~: g1 ^;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录* I' I9 E2 Y* r* E4 s$ _0 u
8 P5 w) G+ V6 ?9 G7 B" |3 P;;[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]]
' x4 E' o! i5 b, n* m- 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]
" ?, p2 V% T# Q6 \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
W1 a2 ~# O( `6 H. Y! ?neighbor-total! Q* `7 S- d. \0 v0 N6 J/ H. Z2 A
;;记录该turtle的邻居节点的数目/ t; j# |8 g" @5 O8 W. E% z
trade-time5 _; l6 y: P; X
;;当前发生交易的turtle的交易时间
) F- t! F! A1 J/ i4 lappraise-give
4 k& y' g3 H* j' `;;当前发生交易时给出的评价3 g# y% x4 [" I) S
appraise-receive
) X7 g7 F4 h! n: ];;当前发生交易时收到的评价) P/ N2 {2 V2 O
appraise-time8 ]2 [* _* |, E6 e8 J: m
;;当前发生交易时的评价时间
7 y5 B4 @- e0 N5 t' e- {2 N' |& Klocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
, `* H0 n% J# W, A9 Y8 Wtrade-times-total
4 b4 }1 V" r% ~;;与当前turtle的交易总次数
$ n$ ]8 @ J+ z( Mtrade-money-total
: i6 l2 L3 w% @;;与当前turtle的交易总金额) Q, T/ g. R% M# v
local-reputation7 n+ s, u; m& A6 t- K
global-reputation
: n7 F1 B2 ]/ T4 l' z+ ocredibility: \& W4 n$ ?" U* f$ u
;;评价可信度,每次交易后都需要更新8 t0 Q+ W- I# X3 S$ [9 N' c
credibility-all2 I9 ]/ _% {7 h( k5 W' Z3 }; M: p
;;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
0 p {& u+ a% T6 I m3 q7 n6 m
! R3 P: ?# V4 x" T;;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
& C V, `; u6 V& Qcredibility-one
0 M, [) _6 H% r9 M R2 n5 @;;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
" A9 G$ y* r2 }global-proportion6 s" y7 j& z9 I, E
customer
- I. N* ?& B ?6 v" Acustomer-no
8 y, P, [" n! b0 d& [0 rtrust-ok! U1 {0 m7 s) b' T9 @( G
trade-record-one-len;;trade-record-one的长度& y& T+ n. [1 b; u
]
; v% Y( r6 z+ i# Q- x( w2 Q1 P/ ~6 O
4 L' m' @; B8 v;;setup procedure
2 |8 I$ [ i+ ~& x
3 L$ j- G R" _* I( s4 ?to setup
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G% i! {, M$ b4 y) j8 M, J* F# Tca
% |5 L* L! s+ i7 |; B# G4 G' u! s% v$ |' z {* ^3 c
initialize-settings
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crt people [setup-turtles]
& a/ p$ D- f% d9 E, W0 J2 s, B# w, R: P6 T, ?
reset-timer
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( f! D0 T/ ]0 ]% Kpoll-class
1 d5 A+ A. t" K) f' d+ s- p: }2 L9 o
setup-plots
7 ^7 @; F3 T% t+ g# { {1 h6 j5 r1 W4 l4 H9 k
do-plots9 }/ f, R7 s" |: B6 D
end
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to initialize-settings
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~7 c- K( [7 {+ v4 Q. c! b% ^5 z7 r- mset global-reputation-list []6 U+ f3 b( _) T: E* n
* \" |' K: g& H
set credibility-list n-values people [0.5]4 {& ^9 {1 ^5 h* r' r
# [& v5 A8 {" W9 C; @, p# E
set honest-service 0! z7 P: L7 B* Q2 ~( T2 s
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set unhonest-service 02 s8 {% l7 J6 C& W# \
" a: N* @, C, o% ]9 e4 H$ `set oscillation 02 x& {) G8 I* g3 ^! ~, e
: I! ]' G8 ^& [; F6 M q
set rand-dynamic 0
6 {- x+ w2 |) o4 i- {3 c( Cend2 c, u' A0 v- u
5 b6 e$ x3 Z' M* p, [
to setup-turtles 5 ?" i( ?& x* }, c+ X7 f3 R1 c
set shape "person"
: Y* ~) X3 S" q) Q* J; D6 Tsetxy random-xcor random-ycor
% u. W( Z8 L1 c( Jset trade-record-one []+ e7 t0 P. p* U- O% b/ L0 c
# M9 t/ Z7 q5 [7 x9 T
set trade-record-all n-values people [(list (? + 1) 0 0)]
3 s" w. C/ X5 s' b, B. {& C8 ~% ?
set trade-record-current []
- k" ]2 K4 T" A& v$ ^, x: Xset credibility-receive []3 K* u# e, }. @0 K- W; K
set local-reputation 0.5
9 J: ^7 T3 A& N. aset neighbor-total 0- _8 M0 e; {: N( v9 Y* P4 T6 L
set trade-times-total 0
, L3 T. T& S2 {; E' fset trade-money-total 0
/ u. |( ]4 _( E/ m# r& U* Kset customer nobody: r4 Z& v j- M! x1 W
set credibility-all n-values people [creat-credibility]
% B6 t! D z; _& Nset credibility n-values people [-1]+ P2 F! |& H& ~3 k
get-color
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3 {" N9 F) f: W! yend" X, N \) D2 O1 a
- b. x4 h9 ]6 K# Lto-report creat-credibility1 }( {. b( H3 u
report n-values people [0.5]! R2 K: t: k" e' \+ Y7 ^
end
7 C" s; K0 ]& Q) l2 G5 u! r4 T) }
7 R6 Q+ R0 C" r/ p8 L% [to setup-plots* U/ t0 A. A/ w
2 b" ~2 Z+ `0 p. e" m5 Q& H" p1 `
set xmax 300 \' t5 H; s8 F7 L, M3 X/ }; {, X6 E0 W
2 }7 P( T ` w+ O1 kset ymax 1.0* \, R( B0 `' ^6 [3 n( V( U
9 @3 p, w( W7 @* y5 x1 {5 X- \clear-all-plots% U" f4 C& m# W: I( x4 p$ N
- s- ^# a* _+ c3 O6 w/ Nsetup-plot15 {9 w) [. ]1 [' K) s; q
# Y; [5 S$ X' @/ I: Y. Usetup-plot2
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setup-plot3
6 r7 E+ K( u( O, o$ B8 y* \9 J; u: xend: |9 A3 J1 K; t' U! v6 U. f9 b
2 p8 f0 @. X. ]5 G;;run time procedures) @9 |3 G, V4 |% e; |& M7 K
5 C1 y! ^0 s% d- I' e7 pto go& j# E( k! M# C }8 y4 D2 ^' [
8 ^# ?6 b* C5 e5 Q5 b- {7 Y$ e( _ask turtles [do-business] P; O2 I+ Y4 X) F4 C7 h
end
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' e4 l1 d& m" R4 U1 i: }to do-business 6 o8 m( s2 D1 u! p$ u0 U p
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$ _. [1 q0 M* s- D% U* [rt random 360! S7 n, X* o! O1 D
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fd 14 Z8 C8 k! ` C* r+ Q H
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ifelse(other turtles-here != nobody)[5 ?4 G$ ^& b4 Z+ a4 a4 {) A
# B- w6 t7 N6 m6 p( g, ?8 w
set customer one-of other turtles-here% Z1 X: a& H+ J6 z3 x% k! W8 |
2 H1 N' ~, G% P! R0 Z7 o5 H;; set [customer] of customer myself0 ?& I" k, Y% @! z
, n8 ^9 g6 n3 x' L! ~3 r9 Dset [trade-record-one] of self item (([who] of customer) - 1)
" l! X: p C; q, I5 [! j[trade-record-all]of self3 _6 D) [/ W5 \$ E, A
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self' |5 T. O+ m6 v2 |! l% G3 p1 G* Y
" t4 ^( {0 Q9 T4 ~8 Fset [trade-record-one] of customer item (([who] of self) - 1)' V3 t' t" G/ o8 S6 p
[trade-record-all]of customer5 I5 j$ B6 G$ ?* k5 {+ P5 ~
( A; r& Q, d) j1 Fset [trade-record-one-len] of self length [trade-record-one] of self2 [( N9 b# B! N* d
9 e4 T4 }8 [) A" X
set trade-record-current( list (timer) (random money-upper-limit))' `2 [2 }+ B* B- g
2 n, c# B' B$ T3 o0 Y- [% s p
ask self [do-trust]
9 I4 P8 d0 A5 @9 ^+ `2 };;先求i对j的信任度
9 c. D! g" L5 o8 y2 m+ h
' b$ [; ?3 v8 p, ]if ([trust-ok] of self)
9 d) G" r2 N) f0 {' C1 y& J4 f;;根据i对j的信任度来决定是否与j进行交易[" s; W8 {' d$ K( D: `
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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4 _- v0 y8 D' h+ S/ s4 g# z' I/ L
do-trade
6 Y+ w0 E& O3 z* n+ ]1 q* d+ r( w( [" D5 f$ u8 n
update-credibility-ijl7 v0 R5 ?8 Z" p8 t6 G
$ l& b8 c0 ^: U2 V$ Xupdate-credibility-list2 A- z ^; V) L% E6 y- u3 X
. q. {9 M1 u1 r9 S; s2 \ V3 Z
! j5 A, e, q7 mupdate-global-reputation-list$ I) D( t( o8 ]: _. T1 p3 k8 q* b
% T. d! o6 `: {. Y. o, O6 Upoll-class. z# a. W( e z/ \ c: q
7 p+ z4 i( H h- u% Y& K9 r+ m0 uget-color! Q1 ?' ~, Z2 l& `4 {5 t7 d/ n4 K
- S& v" A6 e% k$ L]]3 \% p t# w' d2 C6 R$ _
& k5 g3 U, a c, v;;如果所得的信任度满足条件,则进行交易
% r* j' b' |. [; V- |4 u. b( Z# b3 V2 d1 W0 v
[( C$ _( u0 x! A' l$ j/ Y
" B0 v# H$ Z4 \# X- brt random 360
* o W- [5 R( J$ ^) F: j' [ y3 P- E; L1 ]: S
fd 1/ H* ?8 _9 j7 l+ H+ I# \ B
{* G) `! u" r: l6 e% E% Q+ q]1 L, [' |. N; z2 _+ _6 i" z( r
: x0 y+ [ ^/ @8 G% C
end- l z% y& \0 W9 U& x
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to do-trust . K8 Z8 M3 ?! a2 B( O! p) S8 N! b
set trust-ok False% [/ K. ?4 m+ O+ D* f( p! j( a
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let max-trade-times 03 I$ S# `, v3 I# k5 h
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
! N+ m2 s# D- p% V' ~let max-trade-money 06 O7 }$ E' t) A- i
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
( I7 l6 I; i( b& klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
! X) m: }7 Z/ r8 z2 |+ p. p: |4 P4 \5 r5 E- E* e
9 P- L. Q% Y1 Z1 u) ]
get-global-proportion) S+ Y' R0 f; V: |+ E$ [
let trust-value
, _; l8 U* m) l: M+ llocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
; Z) h0 G% @) H! g" Y! iif(trust-value > trade-trust-value)) @- X9 T+ l5 r: H
[set trust-ok true]
( N b6 t/ y8 T+ I0 ~& Yend& A0 F8 W1 j6 ]5 w+ [5 |3 J$ J
1 u+ i a5 P* C9 N, j! h6 d
to get-global-proportion* c. \* b; K& F7 g& |
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
0 W* S& ~7 y4 R( x[set global-proportion 0]
5 q# J# A1 U( ]2 S[let i 0
8 }+ k& E( ^( A$ k4 S( \. I: T$ alet sum-money 0
* r1 Q" k" w( N3 {* Owhile[ i < people]( s: Q% I6 [) D4 \; i/ M" r T
[
" m% B7 F1 i9 x8 k: b# m( Yif( length (item i
$ A9 U* P& c. T$ ?& ~( h" g) J[trade-record-all] of customer) > 3 )
8 L* s5 s( V4 u[
_! K& Z+ G/ eset sum-money (sum-money + item 2(item i [trade-record-all] of myself))) D/ X: C4 t0 [8 a* \
]
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let j 04 j. M2 Q0 m- P* E4 T
let note 0
- s* C4 n9 m, t) n, Mwhile[ j < people]3 `2 C3 R \- f+ B5 ^- B
[
: [8 Y: t. t1 }! Kif( length (item i6 @6 T3 N l, {5 o. K/ A6 _9 G- d8 u. k
[trade-record-all] of customer) > 3 )/ \& l2 v. f3 S1 q
[4 y7 ~6 U- Q) Q1 n) c
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)/ ]6 K4 y5 q7 N1 ?! W9 N
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
% z# U9 b) y( y1 k[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]( P' f. _+ X, G6 t7 h
]
8 t0 X% K0 s9 [9 g$ R, E6 |' S]
/ \. H; b- H2 M) r' E2 S# Z) Qset global-proportion note* _$ q2 C" t% T0 L Q
]: t" o% G0 f8 f6 V
end
# K a, n1 C) T5 @% u `* M# C4 s) ^9 U) h
to do-trade
/ P( D& m# g0 P' ^1 R$ {" g" Q: s7 t;;这个过程实际上是给双方作出评价的过程; @" u5 y5 I' Q# ?- }
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
% N3 w3 E: Q/ G1 p: z4 P# Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
# I6 n Q( m7 E- q1 p3 x- tset trade-record-current lput(timer) trade-record-current: F9 _. L1 G0 D1 g
;;评价时间! Z4 r) x0 |4 u4 Y7 f
ask myself [1 C3 t$ ?$ v* L! X6 O# |# v3 ]
update-local-reputation6 ~3 L" t8 a- v6 U
set trade-record-current lput([local-reputation] of myself) trade-record-current* A# i @! J& k8 d; S
]% V4 ^# O' b" f3 s3 Z7 B
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
/ [+ l8 v n$ u; w+ y;;将此次交易的记录加入到trade-record-one中2 q/ v- C8 ^* N0 J1 U! R0 o0 ]
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)5 v5 t. A. V( c1 Q9 h5 l' ^' y: z2 A
let note (item 2 trade-record-current )3 T( V. y" P4 N0 h" S P! `
set trade-record-current6 A' D7 R) L/ e7 g: h6 b3 W @
(replace-item 2 trade-record-current (item 3 trade-record-current)). @8 \ t Z6 t0 B% t0 {7 z
set trade-record-current
+ Y1 D1 g3 G5 U8 o; _3 c' b(replace-item 3 trade-record-current note)
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, }, Q- \. _# ?7 {8 x
ask customer [4 m" w) O8 g9 n8 M, f1 y
update-local-reputation
$ H$ D. `. }3 _' Qset trade-record-current$ R4 l3 }% `8 G! D* I- j' p
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
g% N3 ~: k, _/ s]: R ?' S' E5 z6 t7 r+ Y
# r" |7 i+ v( M: A% c+ \" Y O8 i$ j3 ^! y
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
% z! m5 y7 P1 [7 O* ^: s, C$ @: N. w& s# B6 K- I
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
; A: I- R" P& A; w;;将此次交易的记录加入到customer的trade-record-all中
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to update-local-reputation7 H8 [( S9 \6 ?2 u/ u9 l! f% ]
set [trade-record-one-len] of myself length [trade-record-one] of myself
7 }/ n% j+ a3 s# ? d
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) E! [( }. q% X1 Q7 S% h& ^; c;;if [trade-record-one-len] of myself > 3
. K1 b' V; b4 W3 M% q' G) ]update-neighbor-total
5 n" w; r% T& t; b( W! z7 M;;更新邻居节点的数目,在此进行7 J4 i9 e# l1 r
let i 3' w- V4 _- f- U9 q* _6 L% T/ T
let sum-time 0
- C$ l+ f# _4 A9 Qwhile[i < [trade-record-one-len] of myself]
, y: q) V% h& s+ o! l; O1 {. }[
# ^# |" E/ I3 T$ F* L. U+ `4 Vset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
# g. F6 @ e0 iset i+ V# m: C$ w9 g+ i2 U) m) ], x& H
( i + 1)8 z B- I* l2 V1 l6 ?" k
]
- j- h# `# W* X2 s7 U& p6 Rlet j 3! s, R9 z9 X8 C; a: }
let sum-money 05 o! Z& w- E9 E0 X5 g) g; O
while[j < [trade-record-one-len] of myself]
% Z. x8 ? U' g, Z5 [[6 s% T& n }( C, B, Q
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)5 s# j) `) D% G* v2 q4 V1 H5 s: k
set j
+ d, J$ O& N: X+ U( j + 1)
: ^' J- `& t; z% T]
3 x9 _3 ?: J3 u# H; [: ilet k 39 J7 p. O; g1 b0 {5 ^
let power 0
4 E+ P' V5 F/ ?2 s3 D* clet local 0
7 ?. e$ Y4 G4 C* lwhile [k <[trade-record-one-len] of myself]3 _9 U! ]- b! Q8 y4 _$ n" W$ _! Q% ~
[
' ^& N7 m7 _: W8 c; ~+ Tset 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) ]5 C7 b$ E6 F5 r
set k (k + 1)
6 }% p. r8 O( R! {* v, A2 P]
3 `3 C8 ^$ v$ ^ Y" P7 lset [local-reputation] of myself (local)
- M5 l% z# O' O3 ~* w, ?end
7 a: Y. f C1 i: ^! f1 h. L
- f3 U. e- ~9 Y$ I; xto update-neighbor-total( P" G& W2 m3 R7 D; ]
, [4 x) G- |; L- o2 o. `$ h' qif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
% V% C* P! z1 K% B& U9 W' z
0 B) w- k B$ D5 J4 ]9 _6 U% o! C7 j
3 H. p ~; G# J5 L. X& wend
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* _1 W! ~1 H2 M; Eto update-credibility-ijl % x: ~# _2 x {: ]
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;;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 M/ o1 |& [4 j2 a: \% ~( x4 g
let l 0
, h8 j+ B4 o0 v4 ]' q# swhile[ l < people ]
+ _, `& D. V1 v0 A6 h% c& 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
- B3 F7 v; w M& C) T Y8 o[
! Q6 R c7 D, d7 w5 N0 {% i: `let trade-record-one-j-l-len length item l ([trade-record-all] of customer)( K$ X7 v9 W+ N3 h6 k/ _2 N
if (trade-record-one-j-l-len > 3)! F2 _5 o2 A8 _9 x: @% 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
& Q& l, l! `: \: n1 v( B* G# X2 \# }let i 3
) F! m- F& G hlet sum-time 0
/ n8 M( o0 R2 h5 n. \: ~while[i < trade-record-one-len]6 j+ ]; h3 g4 G# n4 f! Y$ R% }# n
[
4 ^& J4 h* R) Bset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 d5 N7 J0 b0 y& J
set i7 }: `( f* g& f# ^7 l$ D2 x
( i + 1)
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2 h0 ~% |& g6 Glet credibility-i-j-l 0$ |0 J$ `- O4 X; }* ^, O2 d0 G5 g
;;i评价(j对jl的评价)
7 t1 W1 ]2 {+ s* R4 [let j 3 X$ P& V% e( y" C2 a6 a' `
let k 4$ z# o( V& D$ i7 Y% P( w( t
while[j < trade-record-one-len]
: }" D w! R+ Y; }: i9 H[
# S. [* G9 x7 o' Vwhile [((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" T6 Z C+ E5 |! H1 n/ H0 X! Z) n& {
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)
3 F U$ ~1 U0 n2 r: sset j
- \( X' d) B. w2 S9 K( j + 1), ^, W {3 S8 g& X$ n) D
]
& b+ r- P# R7 d; q2 l9 [% hset [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 ))% O, }" k+ C" S, j2 J3 T$ ~
# {" S N" Z) p" `; Q3 D' X" f
/ b( K; ]' x) ]1 Clet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
# }0 K( P9 | B8 M; D) Z+ M;;及时更新i对l的评价质量的评价
9 l1 l0 U; J- {, n5 V7 z! Eset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
, H4 D& R3 X' Y4 ?- W- Xset l (l + 1)
' ?, Y0 v& [( e3 L" E2 H# u, L]. ]2 o6 _& j+ M" m
end6 G8 ~" J, L' L! Y" g1 r9 v/ {
# N! S3 B8 q9 ?. b5 {+ h+ hto update-credibility-list6 q: I% B' |* v5 U
let i 06 G' j: {' g$ ?+ l* S
while[i < people]
3 ~( ~7 V: z y1 M' y2 P[
* ?$ e8 i# c7 q4 P ^, p1 Flet j 0, ?( m; H3 W5 e" L9 T2 {( N
let note 0
& C( s5 G3 K/ I! h( Wlet k 0: y5 @% Z- k- u6 K$ q4 \% ~
;;计作出过评价的邻居节点的数目
9 S. [: V9 ^! W7 o) \* x, o( bwhile[j < people]; Y& L# c( e1 q5 h! W
[
4 s- m- ]' c! J; _4 t, Eif (item j( [credibility] of turtle (i + 1)) != -1)
8 x3 Y2 f0 E& H( c. o5 _4 |;;判断是否给本turtle的评价质量做出过评价的节点
" R, @0 V- j/ w& z R* _7 ?[set note (note + item j ([credibility]of turtle (i + 1)))
/ `9 H; ?2 ]/ h;;*(exp (-(people - 2)))/(people - 2))]
9 j5 ?$ L M+ i2 h' v, r# F) _- dset k (k + 1)
; M+ a$ Q- ?; ?, C]( O3 @- Q* e' z6 M; \1 o
set j (j + 1)
, w+ H( r7 N0 y5 ?8 W]5 I8 Y+ \! G7 c% g, m1 X
set note (note *(exp (- (1 / k)))/ k)
2 c2 Y5 _( S8 _# Dset credibility-list (replace-item i credibility-list note)9 {* Z) I$ h& j7 D
set i (i + 1)1 R2 G0 C& M) s8 {
]
/ Q$ H+ a! h4 ?8 N% Hend
" |0 H) T& |! ]( }
9 |9 C/ j6 F3 T$ S v( o% ito update-global-reputation-list
( w! J+ r- c6 Slet j 0
# B, I; T; V; }4 c* M: Hwhile[j < people]
, q: z( w% {& K7 b% B. B2 S[
2 }3 ?* q1 s% N6 q) @let new 0
5 X# p! e9 Z0 j* J3 a! R;;暂存新的一个全局声誉
' w; G+ d2 m9 I+ b8 G+ G3 Hlet i 0, `. ]9 d! s! A
let sum-money 0
" j p/ P( F# [! q" Tlet credibility-money 0: i, b0 \1 m5 M. M2 l. R
while [i < people]/ h' v9 V1 H: r; \ j
[( O, w) x& l4 c, z
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
* Y7 g/ k8 d* i! iset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
* f8 {7 u; {/ r8 uset i (i + 1)1 f: \8 O. T6 U& L" B# v$ D3 X+ J9 n0 k
]
1 y. ^1 p: M* \% s1 L a7 d' O/ [9 [let k 0
) y# p3 K% i9 L! v1 \7 A9 dlet new1 0# J1 F+ x4 Y' p' d( [5 a3 |- o5 i; C
while [k < people]4 l- h3 Y1 _6 a- v) ^. u0 \
[
. Y) m' x/ J Y# W2 e" hset 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)& l9 W9 o5 y2 V5 A# @4 ?
set k (k + 1)8 \! A* n2 Y" Q) X2 @4 D& v8 u; |
]
+ E; D, K5 ^8 f ^set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
# f* c3 m, I0 m8 _set global-reputation-list (replace-item j global-reputation-list new)/ m% X" l z! N- R
set j (j + 1)
* v7 b+ Q8 `! r# ?# }]( _. K* N, l8 u9 |1 G0 @- V7 D
end
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% N* G; h: m! _% ?: y8 }2 S1 B; w9 F7 A; D$ X% u) y
to get-color
% A6 y1 C" U! o4 V5 [; p
3 O! H) V5 h) \, B4 P- Qset color blue1 C; Y8 E" n9 }1 Q/ A. P
end# I2 p6 ^1 x0 U2 U
0 o7 I t/ {. c. wto poll-class& b+ m ?3 ^/ y7 O# V j
end
% d* _" R! a$ S0 j& S. d
. e- j, s8 ~( V- Pto setup-plot1
_* \6 Y6 x! \1 W3 ? a# m' {7 B2 ?* L. E# E. M
set-current-plot "Trends-of-Local-reputation"3 \$ R* g0 P0 _7 K/ d
3 z. X, P0 f* c' v+ M5 S; l
set-plot-x-range 0 xmax! Y7 r/ p: v: Y& b; M
1 a, d& h* o q! e" _! a* ~! H
set-plot-y-range 0.0 ymax
7 Y" }5 C+ [* F0 F7 }) u) C8 `( nend
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to setup-plot25 w3 p; N: f0 [& a1 [9 _" ~( |. A
: J3 V. i: h' ?9 v4 Z! {. K
set-current-plot "Trends-of-global-reputation"
" Y" H, U5 \: H- A, ^3 Q6 ~7 |. @! z% M
set-plot-x-range 0 xmax
( O8 L* w# \4 k C( G
) U6 \3 i5 Y' B& ]set-plot-y-range 0.0 ymax! q! ?8 a% v5 Q8 U2 n+ u: [
end& V; f/ G$ P% Q% `4 Y0 l
. @. g8 k2 E5 }4 U' ]* T2 \to setup-plot3
# V+ Z7 k' |( R. J1 i
- w, o' e0 I. A; M0 G- @set-current-plot "Trends-of-credibility"/ q+ B" ]# ]2 s$ Z+ [- N. I
9 ^) P& u5 ~! r4 I: r+ D) Uset-plot-x-range 0 xmax
, c7 L" ?2 }% U& t3 D& f* P+ z: R9 O0 t7 x/ j& I. d" [8 a
set-plot-y-range 0.0 ymax
' k# P4 S& Y& h' `5 D5 {# cend* N! p2 o& T& K7 ]3 N0 n3 `
- l8 R, @/ Q7 @3 h0 |1 \
to do-plots
# H) j( |3 |5 ]# q3 q4 E: eset-current-plot "Trends-of-Local-reputation"$ Z }% @3 t& C6 R& A! Q- e( f
set-current-plot-pen "Honest service"
$ i; b1 a+ F% B! f; wend
& X" H" V$ I" Q& _6 J2 C
5 C- y8 e7 H4 x! M' c[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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