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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
& s0 |1 R7 n0 zglobals[
2 |. Z# W1 Q- y' l) |6 y$ V7 Cxmax
) j. e" }6 ?9 v, C* ]# a8 Tymax+ x5 H# M1 {/ Q& G
global-reputation-list5 N+ o" [7 }% R2 a& ^
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;;每一个turtle的全局声誉都存在此LIST中
# _. c9 ]" B3 }- d4 X7 B9 icredibility-list
( h/ [) a4 _1 {) ?3 e' @. W) \;;每一个turtle的评价可信度
8 A/ n) u; k& F+ ~3 Zhonest-service
: C. ]1 \/ A% D6 \3 Xunhonest-service
/ I; H; d' A0 R. A# F" Uoscillation! c4 R5 J/ c; }% U- @" c& Z2 b, Y
rand-dynamic
7 I/ _2 {! E6 P0 d- M5 e]0 W4 G f/ ~5 G4 G/ e
7 Q) s3 n* P. n$ ?: `" Iturtles-own[6 D) h" L/ h2 U* o
trade-record-all
. _( j$ H$ X$ ~! D" l;;a list of lists,由trade-record-one组成
X7 m5 V* e5 {3 j; D8 Ftrade-record-one
# [0 \* \) \: A5 B8 G/ Y' R4 V3 V;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录: w- I% Y) e: g9 F8 @8 Q
1 G$ b$ d; B9 Z;;[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]]
6 }( H" S' Q- rtrade-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]
) d7 _9 ]; c$ Y6 N6 Scredibility-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
' T7 o0 q* `, c z6 t" p9 ?neighbor-total6 M; |7 e u: O0 T1 z, ]
;;记录该turtle的邻居节点的数目; b7 N. I- y) ~1 w3 L/ e/ o* U+ F
trade-time
% K1 { W4 [- A$ J! w0 `6 d+ q;;当前发生交易的turtle的交易时间
% C5 R1 v7 c% Z0 |appraise-give
1 ~# H5 N/ R. ~;;当前发生交易时给出的评价
7 o1 l1 _+ V: d& `5 b0 Y# z+ C T4 happraise-receive q7 ^3 z+ p* f# Y" S7 r4 N) t
;;当前发生交易时收到的评价& ^' W+ w" Z3 k2 O
appraise-time3 ?" d ~$ M/ A8 u" e" c
;;当前发生交易时的评价时间3 l- M) }. w, O& o" n( A3 w1 B
local-reputation-now;;此次交易后相对于对方turtle的局部声誉5 L3 r9 Z. D! E
trade-times-total
|/ ~+ M* b* c' l; p/ v% z;;与当前turtle的交易总次数& K7 |0 I. U# [1 E5 x# G) @
trade-money-total
! k+ b/ K8 e" M;;与当前turtle的交易总金额" D3 B- V0 z) u- Q5 _% n
local-reputation
; G1 y T: h& S+ a. X' Kglobal-reputation
: N# w# n2 G3 p4 S5 @credibility
* Z1 u* y/ Z# o- U* i) n2 ?5 P* Z7 T# n;;评价可信度,每次交易后都需要更新
; q8 x3 R5 A# z6 w- Ocredibility-all$ ^% P1 j# _6 }5 S# G# p0 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/ i m2 T' B2 c3 u/ C
/ S4 X! i5 F3 b% K/ F$ [;;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" r6 q: a# d* N: D- Q
credibility-one
- E b2 z9 ], _) a( z, c;;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
- g- T- W) z! K: p2 w2 ^global-proportion {! h" K0 a% S1 T }
customer
: B0 f: Z5 N! f pcustomer-no
m8 ~& Y8 K. |2 [) G5 itrust-ok# s) s1 g% s# Q7 `$ Q: v
trade-record-one-len;;trade-record-one的长度
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! ~2 G8 w* }, Q0 H) Q( T;;setup procedure( J4 [. }. p. @& F7 l$ r+ J6 I
p/ C9 ~9 a4 ^) E5 Oto setup- [! C; o3 ~, w
5 C* p0 s- L. ?" m: Z0 Uca, w* ?4 Y+ e- i! u9 [
. L8 r3 r" y( W) B+ D$ L* Kinitialize-settings, i; z% u$ k* V( O, B
! N, t; O/ P' ^) @$ O/ y/ C6 Scrt people [setup-turtles]
, A7 x: g7 L" `1 A) W/ ] J
1 Q2 w* x0 n9 i6 \reset-timer
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) ]8 T% r" H& Z l5 d) E; `$ Bpoll-class M# o: I: X3 o, G
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setup-plots4 R- ], l' F6 h5 g H6 z$ Q
% l) t% C U+ F/ R0 J5 {- Y: c! T0 Z, \do-plots
( ]; o0 {2 _0 W( Z, g1 hend
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4 L) l1 r7 B+ E) Ato initialize-settings
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set global-reputation-list []* s5 |$ `2 m; f% m* |1 r
2 J' c* x e( pset credibility-list n-values people [0.5]% s6 B9 d: i" g1 ]* {% K% p, k# X
1 v6 V. b5 t8 P/ C# V$ p+ L
set honest-service 0
$ y' C3 A# t, [8 g. P/ U a5 A7 B; F$ u* w" m
set unhonest-service 0
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set oscillation 0+ T& v' F3 y5 C0 w- u
1 \% O7 Y1 h% t) qset rand-dynamic 09 S! V* x: f. P
end
, I3 ?* T( D2 m" X- c9 T' m9 o; ^0 Y7 A, N5 _0 N2 E; y3 R+ p
to setup-turtles , V3 x; {& u @4 }: C
set shape "person"
) `1 i, h) n7 L4 i$ s* zsetxy random-xcor random-ycor
) m, n4 j% n( p7 q6 Y8 h7 F0 Iset trade-record-one []! g$ f2 F3 N+ V6 M/ l r( e0 H
. l0 N- A+ h+ e4 q: s5 v
set trade-record-all n-values people [(list (? + 1) 0 0)] ( K0 G2 P! q# W6 l6 ^. |
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set trade-record-current []
d" ~, v7 K( W& `2 C5 q* Nset credibility-receive []
9 V, g; c2 M: Y1 }set local-reputation 0.5
- B6 F' w( }* h" O/ bset neighbor-total 0) l6 J" G, o+ F% }" I3 p- a. v
set trade-times-total 0
S1 B% m S( E3 Y2 [set trade-money-total 0
- j! V# N4 m) r/ d1 k2 Q; ?0 \set customer nobody3 u1 P- E5 @9 L; w
set credibility-all n-values people [creat-credibility]/ V& }) @# w0 r9 [& {
set credibility n-values people [-1], @' B: C) O& a0 {
get-color
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$ ?! s) y/ f4 w" `1 M! O6 n" p' w bend3 s4 \6 Y- n0 k+ K5 O6 {+ T7 A
; i! J& @' H; Y H9 f: mto-report creat-credibility
# P- A5 P( Y2 W& D2 S4 lreport n-values people [0.5]$ }4 _+ Q% y X
end
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- v8 A' X' R3 A$ l+ v1 Uto setup-plots8 _/ p/ e: E/ w4 s: m( w( a( _
1 ^- @) \% Z' z! A7 f- c. U5 S
set xmax 30
# {( Z, P6 c- p! t$ v, z+ S7 h' A: y' X% b6 m k9 x
set ymax 1.0# J" |1 l) O" B* \6 L& H) z
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clear-all-plots
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W' |6 W: h( P) ]# H6 K7 J; a) Jsetup-plot1 u% ` V. h. l4 a4 Q
2 i( q* K5 c4 ^/ c4 q4 Csetup-plot2
) a) z2 [: z3 \( }& M9 `3 h- `( l6 \
setup-plot3- }; N6 {! d- @1 O6 u s
end
1 i9 k3 n% x( g1 I# t0 D
9 z- h, b; H, i' d;;run time procedures
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to go
0 b2 V6 _2 J" I. \; V" R' u
' c1 z8 ~" F# O& k, B( k2 lask turtles [do-business]
; y" R8 C+ ?2 Z- B/ T/ eend
- w. p1 k! d2 ~7 s5 x" r9 y
2 G( I1 S& u1 I) y0 gto do-business
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7 t1 w$ p7 X, m! Grt random 360" }- w7 ^, \& ?- o( t4 Q
3 j. {2 E1 k8 a9 s2 P; Lfd 14 K: o- i) H2 K0 H/ l2 T; B# W: d
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ifelse(other turtles-here != nobody)[
$ {7 ]. @6 x4 o. U f% q+ R
1 ?, n6 T/ o$ e2 e' yset customer one-of other turtles-here. V+ l& A8 {9 m
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;; set [customer] of customer myself
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3 Z' k, D! a/ F+ Jset [trade-record-one] of self item (([who] of customer) - 1)
6 Z4 i. p q% z7 _) p[trade-record-all]of self
& e% _$ o# P4 j;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self' h. s) P) ~: t2 S+ k4 D
- @6 `1 ^: X) s9 {, `4 H. r" R5 Jset [trade-record-one] of customer item (([who] of self) - 1)
% u0 m9 m* ^) v( |) J6 g[trade-record-all]of customer
! r5 V( U5 A" I% n/ ~" @) ]
2 E( f* P6 f9 wset [trade-record-one-len] of self length [trade-record-one] of self- `+ b6 q7 {- }
. B0 b. V5 {$ P- q- u: `
set trade-record-current( list (timer) (random money-upper-limit))7 y" u( V. J# k8 s. I5 M) ^
$ D* r" Y5 M$ H( n5 d* E2 s8 h' y
ask self [do-trust]$ [/ z# |2 f5 I( {/ g2 H
;;先求i对j的信任度
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if ([trust-ok] of self)
n! g* @' X8 C# H7 d: ~$ o;;根据i对j的信任度来决定是否与j进行交易[
0 L# Z. V& o6 {) Zask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself+ b! E5 O! s- {6 Q5 g! m
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[
( {2 @' V; I4 M5 |5 b) H1 f ~/ M8 r
: C' @1 Q( o2 h1 Zdo-trade3 r" c ?) [) ?0 e1 R: r0 E
7 ?5 A7 q4 J* ?update-credibility-ijl4 d8 \! N h e. g: i
_' J3 }4 h3 f) p h3 z
update-credibility-list
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1 x8 d1 a- |, {8 Z! ^: b- R. \% {update-global-reputation-list9 G" B0 U- v2 J
: ^# s, Q1 ^* |) D
poll-class7 e8 B: Z: O+ Q! F* X c( Y
+ H" b* d' c& n @: J/ n6 I
get-color
! @# {) l0 E) b/ g' A
, y4 E5 ^3 k2 B `1 d]]
4 p1 J$ u3 z5 q! v9 p; l/ z# Q$ ~- v" h
;;如果所得的信任度满足条件,则进行交易7 D# @1 c7 ]( u1 j+ L
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[( v' \9 L7 s( w p0 {
2 c% F: [3 |/ _+ e, i; v! P$ }7 f1 }) q
rt random 360! E, p5 v h% C
9 f6 K! l: l$ A. ^) Efd 1! G1 h6 z9 ?; k& Z8 p c8 k! k
/ q, q5 O' ~. L$ n]
) I8 ?! O7 r I | v, E- j! V, i# Q/ D% Z
end) F/ n, R6 z. g: \; J: ^2 J% M
* y( ~ ^0 w. ?0 b. }. F. g' {to do-trust 5 m0 d) ^: q7 S: V1 X: y, H0 z
set trust-ok False* I& d& c0 W" P# b
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let max-trade-times 09 \# d% z1 L4 S% Z5 C5 e. x- B7 X
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]. Z2 h2 L: b' H% ?
let max-trade-money 0
/ e1 A, l/ ]& ?+ F# N# iforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]" l1 I# F! t) o; a {4 d
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- R# v1 Z# S! J& w- m1 I/ ^
a! @5 p- ]7 c# l- ` N$ l
6 ]6 a8 O4 Q( V- a$ _: x! }get-global-proportion+ ?! t% e$ `4 H3 F/ X
let trust-value ]" [% Y# o( _% N1 g
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)" p. N8 ^. X( M4 t# I2 H4 G
if(trust-value > trade-trust-value)
3 ~9 x9 R: k, z[set trust-ok true]1 |/ _, Z* G4 {, d* O" C
end8 G& E" _) E$ \* N9 e5 I$ W% O3 ]
0 ^( [ m" b- W' c# ]. N+ f( g& D4 U) Lto get-global-proportion! F# i) K; G8 e/ z
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
0 Z; V2 \9 P2 T9 D[set global-proportion 0]
: n' l" v/ G# x6 v[let i 0, U% z# M8 V/ _+ ]( I# g& E' [
let sum-money 0, a" t1 `( O* l v
while[ i < people]& x" ]6 @# I7 @" Z$ H5 B
[
9 f: n- o5 P- [! ~$ yif( length (item i
4 |4 v! L" J- m+ h' \[trade-record-all] of customer) > 3 )
6 X8 E. _! E! |/ }+ t- T[
6 G6 Y& \* b [* mset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
1 m6 Y( F( t& C, T) c0 u+ ]0 h" S]
, t0 x, y2 r: r) X4 B* H]2 ]8 _8 E4 x8 C, q+ o
let j 0' t9 e( M4 N' E N0 G
let note 0
. W" T4 s! I h& o5 }while[ j < people]8 i* t- m0 E# d* Z/ ^
[$ @& _2 A( E4 K q. B. H3 S% Q6 J
if( length (item i
- t0 s7 y; A3 \" V[trade-record-all] of customer) > 3 )
: @! Z# c0 f8 u[7 E% h% y8 J9 Q4 J; F: P* y
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)+ U3 r. @* @9 l
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
; ~$ q6 C# ~: X+ B[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
8 \% u) |7 P6 i$ k+ B]9 T: k# z, X, `, p$ u& O: X; y0 j
]$ c. Y' R& D0 {& c
set global-proportion note& E6 h$ f0 J% D. z5 m! }; }! v
]
8 p4 n$ G' ?5 f9 K) zend5 I% m9 l" h+ j* e, q( }
1 ^1 y6 U. d: T# P* B
to do-trade
5 k5 \ e& k+ u& U4 M& U;;这个过程实际上是给双方作出评价的过程" ^$ ^. y. ~& K* p
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
- o- d& [( M. P) W# j1 {set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价! C8 d' J! v1 j2 L. r
set trade-record-current lput(timer) trade-record-current6 j' ^% n/ _: I6 y) u
;;评价时间
9 S6 {' N4 L! O2 t0 _ask myself [( n/ V: l+ G& X- |3 h, y
update-local-reputation
! A% ]& K% U( `set trade-record-current lput([local-reputation] of myself) trade-record-current1 M6 D5 u2 w* k3 r5 E6 i3 z+ A
]
! Z: ]6 |# P1 G ]set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself" i; @& X* G, @4 z. h/ b- [
;;将此次交易的记录加入到trade-record-one中
3 M" c& {1 r. H' K5 ^; Rset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% ]- p- g3 f' y& m/ x1 r! `let note (item 2 trade-record-current )
3 g0 ~ f, |% |2 D Dset trade-record-current
- z% V3 t; T- Z; E% E(replace-item 2 trade-record-current (item 3 trade-record-current))
- t5 {: L/ Q; J1 V' l% Sset trade-record-current m: x: h: z, b; z6 Z
(replace-item 3 trade-record-current note)2 H2 o, c- s9 o0 p) ?
: M# W* E& ]0 K8 x
9 ?: z9 \9 b: ^3 k9 D! ?
ask customer [
1 n# G& p- x( cupdate-local-reputation# A, B2 ]# w- S& y! O8 _, h* u) w
set trade-record-current+ L9 @2 h8 {! [: y2 y1 {
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer& D5 N, ^ J& i) t- [& ~8 x
" b3 _% d2 f4 x3 D' O7 ~
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))1 L- c7 w( b6 z' F; v. t/ C8 z
;;将此次交易的记录加入到customer的trade-record-all中* n, O2 @8 v+ G" S
end- f) L4 z% |4 L+ J8 M$ o
6 o- j. L7 x$ ~, P
to update-local-reputation# V [6 h/ M1 q- V& c- E# V
set [trade-record-one-len] of myself length [trade-record-one] of myself k6 ]* s& v7 U& [
9 P$ D5 i9 i6 S' u$ }4 `( e
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;;if [trade-record-one-len] of myself > 3
3 o! T' x/ n H* s, e5 jupdate-neighbor-total
, F+ X9 w, ^% s3 b;;更新邻居节点的数目,在此进行
9 R4 D8 P) [8 ]3 x- @let i 38 T, v/ d& o' q6 t
let sum-time 0
1 _: g1 z, O$ ?9 s- ?% b. ], Kwhile[i < [trade-record-one-len] of myself]8 _$ _. @0 g( c5 |9 L v- M
[3 C6 }: D y& X0 v# c
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
, v" \2 S6 |0 T3 }set i0 s9 c, d U) k
( i + 1)4 Q9 S1 G, ?! K2 Y) v
]
5 J+ K! w* d$ q B+ B" elet j 38 _; e5 V0 `" m4 p
let sum-money 0
5 `& `4 g1 k' k1 ~6 k' Cwhile[j < [trade-record-one-len] of myself]
L$ [$ M/ p- o& P5 y5 F$ H[
0 I9 _6 L8 u9 f# O/ R- L4 z7 Iset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
4 O- m3 N: u- |9 Q2 ~% y, kset j
3 n7 I. R& t$ ~, E" W+ A% x8 E* r( j + 1)" J& ~, T; i$ ^* X: s/ l9 K1 a
]' e/ [8 [: N6 k/ [* Q/ ^$ _" y
let k 33 f8 ?1 ?1 Y$ I
let power 0% z5 o( c3 ?1 K* v, _
let local 0
' U9 Z( G; G; q! O2 C E# Hwhile [k <[trade-record-one-len] of myself]% g) {* b. a3 B: l* `$ X4 I& l
[- q4 l) U/ A, ~; f/ Z& o9 q
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 y! h" c' j' P' D
set k (k + 1)6 H8 R2 j2 s! o7 z2 a
]% b- R |* m; r, f1 [. _7 y
set [local-reputation] of myself (local)8 t" w4 ~9 ?- v% z1 P) q
end
2 |4 I# M! _: c& ~
- \/ t8 G$ k' l! H( b7 vto update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]4 k* H v( Q, G
9 f3 g8 R9 X6 B3 \- Z9 Q) O3 Q
8 K* k% v# W3 O" K: Uend' b9 ~8 e" I) }: s1 a' y* w
6 B; e/ D2 `. T5 Wto update-credibility-ijl 2 b ?+ Q0 O) g( s% X; Z
( y @& f9 t, C; a8 }. ?- S% y6 r
;;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。' t" U3 p# _, S* M- I
let l 0
7 b7 b$ W6 z! H! zwhile[ l < people ]
( L( n8 b7 l0 Z- b4 f;;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
5 }$ N! t+ p! r/ o( G[, p1 I4 V9 _ [% v
let trade-record-one-j-l-len length item l ([trade-record-all] of customer); q$ ]' C: M+ I t0 E9 [
if (trade-record-one-j-l-len > 3)' l' u8 y+ B8 j: A- w
[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. }0 k8 ?* w+ K* {* Z7 h T
let i 3
7 J9 r, s; N. S2 a* Rlet sum-time 0
+ g! |) z' Z2 O! g7 i- s/ twhile[i < trade-record-one-len]
( Q; t3 F; d% q; e[% F' P& y' j8 M. L; R
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
- Z- {; Y, p7 a( e! a; vset i
: L+ o5 ?9 o J y8 {( i + 1)
1 m* }* y. k) c6 D7 _1 Z]
; x9 y" @# f: b+ xlet credibility-i-j-l 0
. n% P5 R% s% S- p0 d+ H5 H;;i评价(j对jl的评价)
" ^' o; b+ E0 m7 R6 s1 y1 nlet j 32 k/ t$ P( V! W, m4 |% P, ^
let k 4
4 `% F h& f7 g' B9 {2 N7 Ewhile[j < trade-record-one-len]
7 \' q9 X& R* k1 V, L% _[
# q0 k( X$ S1 u( j' }5 Twhile [((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7 T( p) W+ c" a* R% S
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)- E! w( ^/ o$ Q+ `% h- K3 U5 O7 {
set j
* k X# \& Q& Z/ r& S* e$ ?6 k( j + 1); L9 N( {7 W: y8 Y
]
: }, w" L: U+ M9 D& k9 {) \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 ))1 V7 d/ o. |5 \
7 S L. J7 A3 } f
3 b5 s; K+ _' \0 ulet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
. ]( Q n/ |9 P. h0 ^" i. t;;及时更新i对l的评价质量的评价5 U4 n/ n% w [
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
+ c% O1 o5 ^# R: {. O7 tset l (l + 1)2 l3 t4 f8 k1 N8 r
]% J! _( @" C. o2 u% W7 m" l: b
end
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$ V4 V/ `/ L2 V9 S; C/ {1 {, Bto update-credibility-list
" X- {& o0 S$ B' L, Rlet i 0: A& e; H. H* O3 l" U& H7 U
while[i < people]
; t8 j8 O' q- w6 }4 d[
% b- K4 K3 a3 K' Y! ]3 Elet j 08 R& V$ P9 H9 ]# `" E+ X
let note 0( `, ^2 I! V" O7 j. j0 E9 T
let k 0) p7 A+ n# s* F, r% s
;;计作出过评价的邻居节点的数目
( g- F$ _: G+ c. j, W* D! Jwhile[j < people]9 t: g# T- N* T/ a5 P5 N) F
[
7 O& } u' y- }' G4 Iif (item j( [credibility] of turtle (i + 1)) != -1): E& T* d5 m+ J. ]8 \9 g2 d
;;判断是否给本turtle的评价质量做出过评价的节点5 x! B, c& I" Q7 J' p( X
[set note (note + item j ([credibility]of turtle (i + 1)))4 k8 y* M2 ]$ s- {6 ^+ R
;;*(exp (-(people - 2)))/(people - 2))]# K3 d! h; i# m$ S6 z
set k (k + 1)4 B, D' b1 l7 O4 u: w1 m
]4 X* Q+ L. T6 N+ I
set j (j + 1)
2 H: @5 [5 l9 [0 I]
" {% F; Z3 o: z. F$ eset note (note *(exp (- (1 / k)))/ k)
) n, S$ ]. ~. V6 l4 Lset credibility-list (replace-item i credibility-list note)
# h. W" w* j" t8 S5 ^set i (i + 1)
' I1 v+ b8 R* W$ C W2 E( [7 s]
" V0 ~$ ^$ f4 c0 |/ ?end
; x, P: }+ r @5 V
4 {) y% h L4 X# }to update-global-reputation-list
; [7 ]' ^, R0 K: G: L3 d9 R' Rlet j 0
. M; A/ Z A; wwhile[j < people] G! ?: C4 A6 u
[
- H3 W( B" ~4 y9 N- clet new 0
, K# D" Y- s# m6 _;;暂存新的一个全局声誉
% k0 u3 t- l( v& j, |" s) F1 Xlet i 0! a: {; y1 v# k( {6 I5 Z( Y# A8 ~
let sum-money 0
s7 B0 f- ?& n/ ?. w) ?8 Klet credibility-money 0
: \7 J0 J; h# @4 }while [i < people]
+ X5 V7 v3 o ~6 F8 b0 J0 c[
1 a N; Z) V3 e+ G) B! H' B& ]7 wset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& @ S& s% C# f5 Q7 hset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)): u8 f. a0 s& O2 N2 D+ G
set i (i + 1)
* i% L9 e3 G: E( c- _]
' r b7 ~2 I+ g$ W( b4 f/ |; u. dlet k 01 S3 K, P3 w, X+ I
let new1 03 b3 q7 G* z2 e2 z; V+ z& }
while [k < people]
4 s/ }0 H+ w. c9 l& b. W[
T- Y$ V) W2 E; \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)) e! m. B) k/ ]% w8 c
set k (k + 1)- {( e0 N' Z' r& @0 }+ w, L
] J, {0 ~ Q$ c0 r" k9 f% d" ]
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ' |( J9 u, |9 i8 |+ G6 Q2 k
set global-reputation-list (replace-item j global-reputation-list new)5 p& a' ^1 h9 F# A
set j (j + 1)3 m9 m) d) e, x5 ?+ s
]) e5 |" c8 N. [$ h
end
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0 }4 S* w9 I2 @7 p( n
- r% M# [; }, j6 U7 R ^
to get-color# D. V& @: K% F( n! ?2 ?
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set color blue
: u7 r! U u/ C* g: Tend
1 D6 |3 O0 d o3 [2 O2 n
/ @2 z- b& u2 C/ ~; n- Hto poll-class
$ u1 P$ d `1 h7 ~! _% } |) {end
- }" ^& f3 x) L2 O* `2 a( N3 n' r5 a1 w0 T
to setup-plot1
3 F) p7 v# M; ]' ` U! l ?7 G( i! S( p
set-current-plot "Trends-of-Local-reputation"
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; \# ?9 V6 P$ G# W5 Lset-plot-x-range 0 xmax* Z/ u- o) b9 m- F
7 t# o% g1 |* Vset-plot-y-range 0.0 ymax
. l: N4 }& m) R) m+ x* eend
# V3 l6 I( J7 ~+ C6 j. j' U3 J( B" a
to setup-plot2
# J2 E) z; ]) k6 I
" ]( |5 K# r# j; |5 b. {, q/ g1 ]set-current-plot "Trends-of-global-reputation"6 D; _/ b1 y( q8 P; Q
: F4 {: S$ z/ K1 _6 b |- Qset-plot-x-range 0 xmax
0 y/ X: F# F2 S6 [' a7 K1 g% E0 G/ g" d6 A
set-plot-y-range 0.0 ymax
+ x+ H4 J6 h& N( Y2 Aend
; e0 n/ G& Q. S. F5 F8 H5 e5 L3 S, W, ]1 S* _
to setup-plot3' c A! }. v, D% [
% t7 h3 [% G" |+ }
set-current-plot "Trends-of-credibility"# N! U6 w; {* A3 T" W# ~ B
1 K4 r3 ?7 e" P' \% L6 p: W9 c
set-plot-x-range 0 xmax
' p2 X6 p( `8 o/ y' K0 I+ O1 B$ `3 H
set-plot-y-range 0.0 ymax. Y/ E x6 b. [- _- \/ Q
end
( n5 s1 h' [& S& u& `6 I
o j' m- G, g* S9 Mto do-plots- I, |" Q% M2 J- m) s% r( n
set-current-plot "Trends-of-Local-reputation"
0 W' m( f3 i6 S( G" {set-current-plot-pen "Honest service"
% `7 u. S% t: e3 u& eend
+ f( `% x' _; n& A# d$ X3 l2 n9 n% Q* D" K; ]
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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