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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" w/ j0 Z, R& tglobals[
0 l% ], A' |0 [; Q- U3 Txmax
9 R: ^% o4 [% |ymax9 o% j# v$ S) M, U! o5 G, g
global-reputation-list/ o: | X& o# x1 Y: [0 ^( Q
8 u7 D! K7 U6 J/ N! k;;每一个turtle的全局声誉都存在此LIST中! k) `4 R C% J; d: H
credibility-list
. R4 C/ r9 e8 M3 v5 t) G+ l;;每一个turtle的评价可信度1 f; z, ]: N& s$ Y# D
honest-service
- O2 g/ @+ w+ B7 t }- uunhonest-service& ]; ~ z2 {" A4 d( S. n5 }
oscillation7 j; y) t- _; U9 K1 Z: \( h
rand-dynamic7 W4 ^. y$ R7 r" w
]. K( m6 n3 O: B* \! d. y" z2 n% b
0 A( l4 u& S! \4 }- c0 d( |7 J+ a
turtles-own[
: c, c5 }, z' y# h- ]/ h) }9 U: itrade-record-all5 D* D b$ ~. @) Z1 X
;;a list of lists,由trade-record-one组成1 B/ p# o; n, }: ?+ P( F
trade-record-one
9 C- g$ W- ?7 }1 D" j6 T( Y;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录# S6 v% ~/ j" P" q6 \) w. L
$ @( f; J. ~) C5 B; i
;;[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]]/ z& d |- o/ X) ?% y
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]
1 y% t: P" |# o7 Tcredibility-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" T9 R; B; k" R8 bneighbor-total
" m5 o0 Q+ M4 B ^;;记录该turtle的邻居节点的数目
( x. C' ^: O: H) |3 o. Ftrade-time, r( L# X& f1 d( L+ F! Y# n, W
;;当前发生交易的turtle的交易时间" H5 }. W" m- h2 T! B* W% S
appraise-give
6 Y. A, s' ~* ?, U7 k;;当前发生交易时给出的评价/ X$ C( k+ s7 q1 X9 ^2 z5 q) t" H
appraise-receive: O% ~; v k( I; c0 d, |
;;当前发生交易时收到的评价
+ z" R, y: V$ Happraise-time' c! \. @' V0 v0 |5 v
;;当前发生交易时的评价时间
( X; _( u; L- k. O; e: rlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉* j6 c& i% q1 u5 E: I
trade-times-total
1 J6 V& M3 P) z& o;;与当前turtle的交易总次数
3 Q3 d+ g3 t8 x, X8 strade-money-total( S: c/ V4 |$ J) _
;;与当前turtle的交易总金额. O8 V) c* h5 A7 [, j
local-reputation" L; U( K! Z( g) U ~
global-reputation
$ M+ | B- I$ N R! ?0 Y! |credibility
0 h/ G+ H. X* }( w0 E$ r;;评价可信度,每次交易后都需要更新* U: m$ e9 P P* ]
credibility-all
6 R4 R1 `/ C* W/ f( L9 J+ X;;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
3 q" Q! |1 m+ ?6 F# o- b9 y7 F3 F2 V1 @, |7 y4 v8 {( 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
) P) l4 W5 S7 H# Ocredibility-one
5 b5 |$ ? @ G9 x) x;;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
% Z) I7 U8 D S3 Cglobal-proportion0 b+ [' m2 q$ I* H/ v* M
customer
' K( Z: {+ {- K5 I" U8 Y+ d( Gcustomer-no
9 H1 Q* a7 T& \1 _! t$ utrust-ok$ x* @( E* M) c* S! Y
trade-record-one-len;;trade-record-one的长度% d. \* }5 ]/ x* a4 I/ c
]
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7 d9 {2 V. w$ D0 ?6 \# |;;setup procedure
% t7 q/ q- E5 p& _& G+ a7 s
, h! @; b% B; L6 mto setup2 t- m$ v i1 r n% y8 l) O
; H1 v( E& N& V) Zca
7 \) n. B) U& Q
4 G4 H+ H' g" J* U0 L7 i# Ninitialize-settings
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crt people [setup-turtles]+ i; J5 A& {4 Q/ ]7 E: g
+ {1 F! S! [# t( y* x" w% {- R1 }/ ]reset-timer @6 J- B; H4 t4 n: i% f7 ~/ P
; I! c3 Z& Y! o# w% t1 l( ]
poll-class
% S! o0 |& O, e0 b% D8 Q3 b6 ?% X* I5 w W6 g, Y
setup-plots1 k- g7 g# _$ f
' Y; V# n- y9 @" ?2 n: S
do-plots) ]. f( O+ ~' ^/ [
end8 \" p5 T8 F5 b& W8 x9 M9 H4 g- G! ~
# J- Q+ `$ I/ ]0 Q1 L& ^to initialize-settings J4 z6 y2 X( D
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set global-reputation-list []" |; s0 n8 S1 ]8 K! n
$ U) k* I0 D( \/ i& Bset credibility-list n-values people [0.5]. D# z' O7 x8 t
5 W7 E3 S& V& s0 z3 r0 i; O: v
set honest-service 01 f3 i) |# l: F6 U; B& ^. E; i
3 F! ^, O" F) q, D4 N4 z5 G. U
set unhonest-service 0
+ N3 `% c. ?6 }# W3 F1 y) K w: u1 d
set oscillation 0
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& E7 T. ? F) r, {) y( pset rand-dynamic 0
6 M& \7 P* ?( a! ]2 v3 mend
9 l h4 T, b7 ^0 o6 e1 e
+ y$ ?6 U' \* I; N; q. E* V% O9 k! z- bto setup-turtles
' Z9 y: B9 X4 s W; c! ^5 s( C4 N. \set shape "person"
0 T/ C& z& V$ L, U1 e' @5 gsetxy random-xcor random-ycor& ~+ x2 T* ~1 f" L0 S
set trade-record-one []
( ^* h4 x3 [7 W. C3 ^5 A
+ E/ e+ s4 S. Xset trade-record-all n-values people [(list (? + 1) 0 0)]
5 N9 } w3 s# ]+ O2 D0 |5 {2 O
5 u4 k8 ?& D4 I) N) k' z2 C6 y, {% Wset trade-record-current []; V$ E7 G, e1 o* O x, V
set credibility-receive []' @0 F& g6 w$ f. Q J
set local-reputation 0.5) @+ S5 r, D. I1 P* S3 N1 b
set neighbor-total 0
& _+ M# M: _, Z1 L) Hset trade-times-total 06 i/ B$ {6 t4 d3 P+ t
set trade-money-total 0
1 g* H- L" y& U- D( Tset customer nobody4 L1 e3 _( W" [1 N2 S
set credibility-all n-values people [creat-credibility]
# F: `" ?! R9 r# N" aset credibility n-values people [-1]; t& U4 k) _1 b, I; r
get-color
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% F; G D* f6 X& L/ f- |' |end
; c9 T0 q4 U7 F% }5 O) X
( ?6 E7 n4 v* b: Q n! \7 Oto-report creat-credibility; X! J4 P% r2 M( x, p
report n-values people [0.5]; o7 Q- t8 i. J5 _
end
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to setup-plots( B" V/ {5 Z$ ` b
, u) |$ ~4 k, b. |: ?" z
set xmax 301 `, q( B- F% E v
& G: L2 m' B2 T4 H/ a
set ymax 1.0
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& o; U0 z* h) y9 |clear-all-plots
7 O# T3 x9 E- Z; q% |7 ?: P# X
9 [( O2 H K7 ]) fsetup-plot1
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setup-plot24 {6 B/ ~6 z6 ?3 `3 w$ r) U# Q3 F
W+ Q: D( U ]( Y) N. }6 r/ v
setup-plot35 j. Q0 g" y3 T d9 R' g1 r' w/ s
end+ W/ a/ y7 o" O9 H3 }
* t+ o; J% k5 h0 A+ U;;run time procedures
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; w; K# C9 ^; p6 rto go1 E) X7 ?/ r# x; O# W' {
" J5 z7 R. w9 Bask turtles [do-business]% O# ?; I/ U3 D' n: \
end/ o; y; `4 q9 H6 r3 J& g4 |
1 @5 A/ Q: m/ q; v: ~2 Uto do-business
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+ \1 Z) E7 F& g p" \) prt random 3603 t; k# _' J6 r! b- P
, d. w5 Y" W2 Dfd 1+ V3 ]) Y) y, j$ Y) A* Q& O- n; U
# j0 q$ ~3 _5 t* A t
ifelse(other turtles-here != nobody)[" P+ g% F& e* E) Z5 d! b, W
+ t+ i1 f4 C0 ^8 Pset customer one-of other turtles-here9 n$ F. A( C4 G& i0 b% }; a
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;; set [customer] of customer myself
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' V! R8 V# K- M; e7 t1 y* e& vset [trade-record-one] of self item (([who] of customer) - 1)2 _# |0 {4 P6 v9 r$ h
[trade-record-all]of self% k" v: I. W- N2 u' J( I
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self# A/ Y3 h8 Z$ _& |: w/ W, f1 M" V
$ ^2 G# o; W9 t" t5 c' d
set [trade-record-one] of customer item (([who] of self) - 1). P0 K" t9 w4 r B: L4 w/ P
[trade-record-all]of customer e5 O* ~7 ^( J/ [$ f& S
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set [trade-record-one-len] of self length [trade-record-one] of self8 O6 J" d- j8 \- }, E5 j+ M
; }3 ^! O, O( r3 ?. S' F0 f* e
set trade-record-current( list (timer) (random money-upper-limit))
* B9 `7 G. U8 h3 P$ |7 k h* H# S
! T& W" f4 P9 L, d" Uask self [do-trust]
& X7 i z4 x* o; A- w;;先求i对j的信任度
2 ?& Z: v l) w1 X) B
/ n7 D. x, t1 R; S# T- b. d; ?if ([trust-ok] of self)3 d" M2 n' I6 d A9 N) y
;;根据i对j的信任度来决定是否与j进行交易[
8 O$ Y* `& [$ o. r$ vask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
. m! `/ X$ u+ V3 X$ S# z* c
% s8 @! Q: ?& w' y0 z+ G[
3 |; y2 v& q0 M# J0 c, w
3 ^1 h7 B% I* Pdo-trade, Z/ ~0 M ^; J
# \* C6 l# |8 [) o9 p t* L1 rupdate-credibility-ijl
. [+ T' s0 G5 P/ V
5 U# [1 W: T3 bupdate-credibility-list: k) W$ O5 X* i) ?( B
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) a" u- O3 j( ]6 @update-global-reputation-list
5 l7 u- k, Q: \# ?2 O5 F2 f( H$ i2 a# Y5 V4 [/ ^/ E- G" C
poll-class1 d1 v; X) L0 u" ~- _
" Q9 s0 w, Q% B% S, S: vget-color
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" D f& x( S& y% m]]
* W1 F1 ?) x. n3 X' l3 d" D, \, W5 K% i: Q+ H, j% L
;;如果所得的信任度满足条件,则进行交易- J/ E, A" I- `* E0 p* L
: o/ W% c. h1 [# O) o( O# O- m[
/ ^! E( K% c/ v: I1 q9 O# o* _/ b( o* q/ j" C
rt random 360
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fd 15 j# o8 J \. \! `
: _& R1 C$ k: O]
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" a1 U: B# {4 L4 `# d. F5 C" e6 cend" R s0 `% F/ L
4 A* m# d+ d+ C/ Q$ w# V) w
to do-trust
) e7 V# z/ b+ B, J& p1 s. Xset trust-ok False/ k6 k. |* y) M/ X3 F) d
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let max-trade-times 0- n: q" v! D9 D0 R# `( M' V% p6 q+ N
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]; C: y1 ?5 u+ N! g8 k% e
let max-trade-money 0
; e: b* M2 n! q& M& Eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]/ K" I4 k# u% R- r$ z
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
% h1 @( F7 ?; P$ U/ r, h @0 B4 _2 s3 E8 ~3 D% V
; P Y; U+ l0 m! Kget-global-proportion
6 w* ?+ E1 M3 j) @& o! }( v$ T+ ]3 `let trust-value& V3 {. J- b8 `8 M# l
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), R, b0 Q* h4 K) X- Y' i
if(trust-value > trade-trust-value)4 _& j; O; W( w! u, v2 C/ z
[set trust-ok true]
1 S7 }/ d6 g* |) X8 Kend
5 l# R6 G$ y2 @0 J% |5 E% f1 O
0 s( @5 t8 c7 \to get-global-proportion
' @! M* ^# l) V" ]% X+ y) j) N. Rifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* Z( u' u) {1 O2 t' W7 Z
[set global-proportion 0]5 K+ [% F g' e4 o1 A6 p
[let i 0
3 w* t" A$ g7 K6 ulet sum-money 0
% l; M3 B+ y; a, _" q& N& Zwhile[ i < people]. v8 e V. S# i4 j7 v- J
[6 k( G3 Q3 V9 T% V, Z) L
if( length (item i1 t+ z( Q! T+ ~9 @9 b
[trade-record-all] of customer) > 3 )5 ]4 u4 m, ?. @( y# J
[
8 X9 H o% o2 ?- y. Gset sum-money (sum-money + item 2(item i [trade-record-all] of myself))4 }& C" E m) D
]& n! D/ e" J! ^) k% |
]9 V/ e1 `1 p$ S3 T: U
let j 0
; ?3 v% ^( v; z5 e: E: l! }+ rlet note 0
8 e' g$ ~ z# rwhile[ j < people]
1 o9 \ B5 l# t ^[
. ^) r% [" a- D+ |: W( _if( length (item i
! V" ?8 p, c E9 K6 v7 h" _[trade-record-all] of customer) > 3 )0 i; ^# x; X( a; V J
[
0 ^. `: [8 Q1 v& ]/ I5 |ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
, o( ^& L2 _+ U7 h2 T, s' [9 G' N" Q[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]* Y) w3 c5 X( i: S2 U7 `
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]7 h4 x1 Z8 f& I
]
9 F6 {: q. P+ ?3 b. p6 O+ u7 G]
+ k; j5 V8 l* {' F/ U2 D- kset global-proportion note
5 N; m% a; o/ W' @]
; |7 a, A% h+ i1 P0 {' y) h1 m( Nend
8 p8 O0 G) L: {9 r! c8 m" Y. F' S" P% P5 H# Q6 I
to do-trade. h7 P# w$ m6 b) C ~, @* f
;;这个过程实际上是给双方作出评价的过程
& z4 ]# b2 V9 O" @! s1 W+ |# ~4 }set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价8 e$ R# q2 u9 C
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价5 H6 o9 v1 l7 G( k* x
set trade-record-current lput(timer) trade-record-current5 ?% K* E' B& _
;;评价时间
: v5 V- n1 l+ _7 ~1 I( a0 A: bask myself [
, h4 v# y4 J% K# wupdate-local-reputation8 l: i0 s' W* `3 q+ }, O( b
set trade-record-current lput([local-reputation] of myself) trade-record-current
( x% p4 `3 z- _% Q' s] |. K% m% g# a' k
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
% J8 g& h1 s- k# B) g3 _;;将此次交易的记录加入到trade-record-one中5 b; T6 n R3 H5 `! u1 `
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)7 Z* E' |. |' f! C
let note (item 2 trade-record-current )% {: \1 i$ |! r& E
set trade-record-current1 s; J7 e: y# D) X- t3 W0 e
(replace-item 2 trade-record-current (item 3 trade-record-current))
% t* l0 V, t9 {6 F! A5 mset trade-record-current
0 Q R( X/ @6 ~0 r(replace-item 3 trade-record-current note)3 b5 z6 ]. s: f4 e+ p
# a* Y9 V* @) _! W4 U4 }' f( M1 N# h i" F+ z# N1 X' z
ask customer [) t; _9 Q, q, t5 I
update-local-reputation3 x& g+ v+ O0 |4 b% Z O) E
set trade-record-current! m! }$ _3 F$ n k( A( ]. S* m7 d
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) * _# M3 _9 {# R
]3 W* s" ^. E, n2 v. M2 d+ g( W5 r [
8 g) m* Z7 c5 Z" l* m3 K) Z
0 K5 E) R2 w' ~; u1 H! Nset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
( [" o2 o- {& y, u7 f- X- A. q$ Q3 W- l7 i( L3 [3 r
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 p4 z9 p7 F: I. u) j
;;将此次交易的记录加入到customer的trade-record-all中
3 C7 q, u5 F t1 `7 Z7 H. xend
( S) w+ F1 M$ x8 C0 b' _- x [7 F5 N- R4 u Q+ V3 l# f" {
to update-local-reputation6 t0 k6 ^: |1 X: P8 h! `
set [trade-record-one-len] of myself length [trade-record-one] of myself" K+ V. `. i% O& e' q
, ?" E4 N1 G- Q! e* {3 z
+ @1 x$ t9 b6 B) x( J;;if [trade-record-one-len] of myself > 3
' x+ Y) N" E3 C1 d zupdate-neighbor-total/ N, }, X7 K9 _/ u
;;更新邻居节点的数目,在此进行
" }1 j) r, N- s" Y0 [/ \let i 33 p# V! F; ~) e
let sum-time 00 K+ `. Y; C8 i( c6 |- m2 ?
while[i < [trade-record-one-len] of myself]
2 X6 @7 T x8 b2 L1 W4 L[
' K D! t2 W# @' [set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 T( S+ J+ x: g2 K
set i
: F- l$ b1 v8 }' m* k- i( i + 1)
& ?+ k, W- [, V]9 j- X& w8 ^0 k0 ]# w8 |
let j 3
" ?) l7 Y7 k9 e! vlet sum-money 0. z2 S ~& p4 D& ~7 c& [
while[j < [trade-record-one-len] of myself]7 Y0 D6 D# k) q0 @ n
[6 y1 D8 I7 g7 x6 ~' K
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)( Y7 }( y5 Y! J. C
set j- L, l/ c: X3 ^: S2 i# } m- [
( j + 1)6 }4 i6 D, f' E3 R) X$ i. n/ @7 G
]6 d+ e2 \6 ?* v$ _. S% X& ^/ _- A
let k 3
" s' N& S- b4 |! |3 ilet power 0
! Z* j- ?9 x/ i" ]3 Q6 z% i8 Tlet local 0
# u% a* c) R5 o/ ]- }while [k <[trade-record-one-len] of myself]
5 ~( _/ N* y# R- ?4 R" d" s% l[" p8 Y8 ^; C8 @+ k/ ]- Z% c
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) ' X1 _ E' l, k: Q5 {7 S1 R
set k (k + 1)
$ N2 L: U& w! k, C]7 [- w n- K- H
set [local-reputation] of myself (local)
7 C4 {4 r6 y6 h7 Qend
a g, T8 D8 N; w+ ?( P! d5 M( k% R# L$ d* ?# j& L
to update-neighbor-total
" e3 [3 l" O) T5 T" M8 {) F* A+ {& Y7 Z9 w4 H7 V+ l
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
. s: {% a6 F0 u+ ]
# t8 s4 d" h- ?: Z7 ~ ]$ \
: ~+ s$ b E& c" R; }end
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to update-credibility-ijl ' m) q( s% L7 z9 x8 A+ m: i
5 {% t! X: Q0 U2 x2 x, k& E# A4 J8 ]
;;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。4 [7 R' C! w r' B' i
let l 0' [/ Y* w, ? w5 x; n
while[ l < people ]$ E7 \9 {) n+ Z$ M7 h) \ Y' c
;;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
8 \0 ^5 e; G! Y! z1 t( B E[7 g. F1 }: T! [. x. c! y
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
& y |5 l* j' T) x! _# d' `; _if (trade-record-one-j-l-len > 3)
! e( }& |/ ]. m; [- @7 X: h" R[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
# C, G* V! E1 Ilet i 3' _$ M) V3 E8 Q
let sum-time 0
+ Q) ]* s" q* {while[i < trade-record-one-len]
6 _% v% G4 } k4 B, Z7 j[
9 N* F2 h# U7 Nset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )' b. n Q" a6 F4 w, d$ {, G
set i6 z7 _; J3 G8 b" x& u: P9 o3 v
( i + 1)
n: x# ?2 g. M( ` I7 q! n4 D3 |]' ?3 D( r3 G9 M) U$ O5 K! L
let credibility-i-j-l 0
2 @' @7 y4 W" ?4 U& R;;i评价(j对jl的评价)% k$ S' B1 v# t# K& g2 I
let j 3
* M4 X! e8 F. ?# slet k 4: u1 e. q, v1 x3 D1 a5 j
while[j < trade-record-one-len]2 r# i6 [+ r# j1 L; k+ z2 {( Y+ y
[
1 u5 U1 ]# V7 l. T7 g/ lwhile [((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
( @5 W2 V5 r. B6 A" A; ]9 Kset 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)8 t7 A1 X. v) Y$ y7 N' M$ n$ g
set j8 {$ k8 {+ f; e# [; [
( j + 1)3 b4 {- d- y1 F
], g: b _0 `; ^& t; c& M
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 ))
" A( a! T* v J8 a% \; C3 \# u' o) q3 o8 C
- D: T n. O Y3 h/ Ylet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))+ A3 C" m- F5 C0 b/ O
;;及时更新i对l的评价质量的评价
7 {0 C( p2 Z0 q6 n7 r, N8 Qset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]) W0 @3 e" p# z, @7 m
set l (l + 1)) G m6 |% t O& U
]
+ O+ w& d5 V5 Mend
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to update-credibility-list
% p4 S7 F L1 m& D2 slet i 0- v: \- c$ @/ [ v
while[i < people]; A6 L0 l. b F2 M& g
[2 W9 i; j7 N* Z, D9 I4 ]* C |4 a
let j 0
& Z, Y0 g* Z3 f: Ilet note 0
: ?" z. Z; T6 w; n W- ^; F9 d) B @let k 0
+ a* J1 o3 A( F" o/ J0 T;;计作出过评价的邻居节点的数目# b* z" z, |+ `7 _) U
while[j < people]
7 }- `2 f) o: P3 m& I[0 F5 v) y* j: m$ [4 ~7 W& o
if (item j( [credibility] of turtle (i + 1)) != -1)* @; V& B @3 F: N. O
;;判断是否给本turtle的评价质量做出过评价的节点
) b0 ^+ y- J' |: L1 f# r# h. e# |[set note (note + item j ([credibility]of turtle (i + 1)))* c0 ~# _6 C8 G1 p- h/ v
;;*(exp (-(people - 2)))/(people - 2))]
: E( `8 S% o& f1 J( {5 p+ Wset k (k + 1)
4 j5 |% g3 B. P8 ]]
. k. V8 `6 f, R4 q1 Y4 [( dset j (j + 1)
3 j4 d0 U9 }' H]
* S: i) E1 n& |set note (note *(exp (- (1 / k)))/ k)
' x) r* m/ i6 B& s! ^8 lset credibility-list (replace-item i credibility-list note)- S$ [, }: n. L! w
set i (i + 1): F8 R2 B( i5 R a1 b D- O
]" W" P9 ?9 H& w
end
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to update-global-reputation-list* H2 t0 J5 g& U; A. L" e7 b7 t1 D7 ]
let j 0# s0 @( ]9 X* l# b
while[j < people]/ U2 v* r& ~. K, \ U; E
[% [5 c; Z$ x# F1 |3 P' x
let new 05 ~) A' n& y9 x( P# y! m. g
;;暂存新的一个全局声誉
, F7 _* ^7 v+ X5 flet i 0
8 s" M- s6 o5 G- h+ glet sum-money 0% N/ Z0 E; E9 d
let credibility-money 0* ]' ^# h# q' H" S0 U
while [i < people]
, a2 B" `* d9 [& y6 M' z4 Z/ q7 l& {[
- v1 N; |% l9 Yset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))1 f% S5 W% k; y% }5 `
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
/ P9 o* f- H( Y c8 [set i (i + 1)* V+ N/ O2 d1 I; d: S- M- c5 u
]
. G/ |' E) u" ]; Q) |* U2 rlet k 0
& ?) A+ i4 q$ f9 I: B) Tlet new1 0 Y% e* m; G* S. [9 ?% v1 c
while [k < people]
7 _$ k! Y- Q- E[% _0 R" `7 G# \* c: G1 i. _1 Y! A
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)
( z0 E) t) D" G! x7 Tset k (k + 1)" H, _9 G% k/ _4 x$ d4 q" {
]2 H0 D9 a$ V7 w( b" D7 v( O/ |
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 6 g. t P8 b2 H7 t H; X/ V
set global-reputation-list (replace-item j global-reputation-list new)" u# p( C6 w6 c9 D: P' [
set j (j + 1)
C7 D% K6 D. O' L/ w) `* K]+ t5 }7 H1 y: k1 m& ^( B
end$ e3 z( i0 E; r1 [
) s5 Q% y- l) l1 I m
2 i7 C4 d+ l% M1 u
7 o' B+ s; S5 x5 E" R8 xto get-color$ X# t+ X2 I! A
% C4 F! ~7 k( u( e7 E2 tset color blue" x, u, U! X" i8 D) q) s9 @% z
end
) ]. } U R- m
! _( t$ U* `4 q! D- ~# M/ p+ Oto poll-class9 g) m7 f4 |. w
end- H2 t- \; @8 R4 R( `
3 z8 R( F( Q) o g' V; {( S
to setup-plot13 l n$ T7 D( M- e# Z
( b# |1 P# m0 S/ q7 i' Z4 X- ^) b
set-current-plot "Trends-of-Local-reputation"" Z" D4 {! l9 V3 D) l
) J7 H5 D/ Y1 P7 @2 `9 cset-plot-x-range 0 xmax7 q! n; J5 b' H; A
5 E) X B: v& S, aset-plot-y-range 0.0 ymax& S- p8 e* {8 R6 J( |
end6 ~! B6 s# A4 } p
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to setup-plot2
8 |1 v. d# l; P1 }$ j
; ^- G5 F$ S/ u% B3 @& @set-current-plot "Trends-of-global-reputation". V0 b5 f" z* X3 Q, `! C$ r; L2 W6 g
3 |9 r2 }$ r9 I: W3 {8 s, L
set-plot-x-range 0 xmax
! ~0 L6 [. _) l4 A3 r9 ~: m/ Y6 I7 r
$ L: C! g8 F8 P' Vset-plot-y-range 0.0 ymax
: `2 _% e, _; A! ^" ~2 hend& c' h4 X) C! R* H
9 z' q# C! x( A6 m2 C5 ~- J; }4 ~to setup-plot3
' L9 U+ K- a+ H3 Z& L
2 r1 v. y: b1 Vset-current-plot "Trends-of-credibility"
1 W, D# v% m4 s5 l$ b3 B; W% i: j* T7 H' i% l, E5 y
set-plot-x-range 0 xmax
0 y% e; s5 F6 U/ W6 V. N( D* Y' @% P. g/ U- H* X. O9 ~4 }
set-plot-y-range 0.0 ymax
6 L9 L0 J% c+ ]8 q: \! {9 h- bend) l$ N P$ E7 H8 K1 _
* I" M" [6 `0 u* ^; G6 s
to do-plots
3 C; s% @! Y: W$ _0 h* s; v$ Oset-current-plot "Trends-of-Local-reputation"
5 N# i0 D6 U: @set-current-plot-pen "Honest service"
' O& r( k4 y6 e! N: j( Jend* q0 u* C/ |+ v% s! Y6 [6 H7 A
: ^& x3 }& y: h+ s' W/ U" o[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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