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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' o( F+ q- k4 }! ?. E* j
globals[
3 z8 z+ L9 t6 S2 l( o& Zxmax7 j) C& K1 G- b
ymax* Z% g# s) c/ d D9 s
global-reputation-list
4 p# t7 W' M" p9 ^9 I( G' h- F4 Q% _8 \" ]
;;每一个turtle的全局声誉都存在此LIST中
& ~5 V6 g- w0 B# Y! rcredibility-list( a. C/ U/ I' \
;;每一个turtle的评价可信度* \+ p3 P4 k4 C0 q. ^6 a% |
honest-service1 q& @2 ?; r5 ]/ D# Y% u# `
unhonest-service3 e1 F! }- \ p0 e9 u6 |8 w
oscillation
3 h7 ]& G$ |- U4 ^! I: y/ Qrand-dynamic0 U# o& O, L. v& l; x, t
]: { W, z+ Z0 @1 m" _5 [
( A6 J2 l$ N K; v) D8 L- tturtles-own[. r, E. e3 S$ V8 ]0 [0 t6 \. P% c* Z
trade-record-all
3 R I# g, Y! r4 z;;a list of lists,由trade-record-one组成
. ?5 L i) K& P b4 q, b+ s$ `! @trade-record-one* \- Z; I6 ?/ f. J9 U8 B
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录/ \# m0 R6 J. N" ^8 S
8 Q! o; I. B7 m$ k: ?9 x3 e3 X* 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]]
8 n1 Y3 E3 J& v9 {" I: E/ strade-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]; C5 j8 h! \& O- R4 V" Z" M
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list6 ~4 @ n d6 `4 x! H; V
neighbor-total
/ @% s v7 X! Y4 x;;记录该turtle的邻居节点的数目" I3 Y" l) `! l
trade-time
( }, V; O- r# W* ^( ]: l' v;;当前发生交易的turtle的交易时间
) m9 |- W0 O! r( {! o# Aappraise-give
% N# l& k) G& s' {& T;;当前发生交易时给出的评价; Q- v; z2 O! l
appraise-receive
( Q z* P- i# `' F3 g& |! w;;当前发生交易时收到的评价) i3 h% D" x* g
appraise-time& H/ W, @' }5 Q( V& H7 Q x
;;当前发生交易时的评价时间! W; a2 L; I7 G0 t/ {% H+ [
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
# ?/ h+ \/ K$ y% Q6 p g" btrade-times-total
) Y* ^9 n: `6 t% ?; P" q;;与当前turtle的交易总次数- U0 F0 r; a$ ^- R: j' U1 O4 g' V
trade-money-total3 M1 Z+ l/ t0 B! u
;;与当前turtle的交易总金额
/ h0 B* H/ I) m3 J1 Jlocal-reputation# O$ c+ x0 C4 e' l" ]3 E
global-reputation0 U4 x; Y) p3 t5 a8 O- ]
credibility0 V- T$ F& E+ G# |1 L* R( E1 Y
;;评价可信度,每次交易后都需要更新4 Z) P$ W1 s% n+ \1 A
credibility-all H2 i `4 ^' ?. T
;;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# R- \$ }2 m9 @& U! @9 U- ]
/ \4 d, i, c* u. K, r' J
;;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
; y1 q) H) G. [& m6 Dcredibility-one9 G! r i0 u# x9 N. T* r5 O+ d
;;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
& S: G( m2 G; |( M) N% _global-proportion
5 F$ F% U& M6 ? ^, e" @* J' xcustomer7 r. Z2 `( G8 t4 U
customer-no2 R. a I) W3 W0 j( s U
trust-ok
& f+ p, K* J) d9 D" |trade-record-one-len;;trade-record-one的长度
: e+ f |5 k# y# e. b# X3 n]6 o+ w9 Y( Y; z0 a- t" ?
& a @8 L; c/ b6 s$ X5 N2 G;;setup procedure
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to setup
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8 d$ s% \" i5 E( r& g' jca
0 i' w% i+ H- c1 X4 ]' y4 L: A g0 ~' o. D T
initialize-settings2 ]3 n- b+ N! ]$ e% ^
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crt people [setup-turtles]( b* U f# k' C" m, h
3 P% Y& Y. C5 z% Q( n
reset-timer7 p! ~9 I9 k0 Z
- I0 w; u$ m9 O
poll-class3 ~1 R# g3 H; G. H0 E6 u
6 G# O' \, @) G1 ~5 ^" Isetup-plots/ |* _# ^1 k. J7 S0 E& v, y# ?; X1 ^
! b' P: h: d# c+ Jdo-plots
' |( m1 I/ h4 V$ T& S' L' S& Fend: C0 l- v2 Y# J6 Z! L+ d
# |7 A# ~0 g" A" r/ b! w/ ]
to initialize-settings, a- ^8 l. r6 \: Y+ f
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set global-reputation-list []
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set credibility-list n-values people [0.5]
8 G9 z g/ o$ ]! f
$ K- g2 e! L9 l4 d9 ?, {7 B9 gset honest-service 0" W# E* s3 L. h7 y
3 a& `8 N. x! W# h0 s" X
set unhonest-service 07 V8 j4 G' b% e
% h+ f+ D* `* j3 s
set oscillation 09 I$ t! b" M* P
) [ P' ?/ y6 a U! l5 P- J! K1 Wset rand-dynamic 0: @+ I" ~2 a7 y3 E
end
- q9 J3 H& z+ r- q
5 n( t& |0 Z, K1 I2 |$ q; F5 ito setup-turtles 4 F; W9 j. u& Q. ^- h
set shape "person"# {$ }4 E: u5 u, Y" ?4 b5 C5 W3 v
setxy random-xcor random-ycor
$ c: }( V- }$ o+ t( `" @set trade-record-one []
6 [2 g# g: X( E1 W6 I% I3 E1 n, e$ e- B$ |. R- s' s7 K% _
set trade-record-all n-values people [(list (? + 1) 0 0)]
T0 a' y2 m S* X2 W
# j: ]5 P7 K1 A! P. K+ B4 oset trade-record-current []
& R( G- H/ d5 e& P% n- dset credibility-receive []+ Y5 r5 D& {; h4 I* o
set local-reputation 0.5
! I1 M6 q2 E0 n+ [1 l: jset neighbor-total 0
- ?" j) L; o0 \set trade-times-total 0" |( z, D# C! p) h7 R
set trade-money-total 01 G! ~+ I W2 x9 M/ o0 |
set customer nobody
* z& g& K: T4 jset credibility-all n-values people [creat-credibility]
' L2 [( o" O( k% r" x( S) A4 lset credibility n-values people [-1]
! n4 V, Y$ ?7 O6 lget-color
- O* W5 F2 S5 Z6 |* _! X- D6 E/ n# f) c# t' |9 y M
end
1 H$ \: c2 q2 r- \0 }. a
9 @- J- P: u$ H1 L% J# Gto-report creat-credibility
1 \) X" l+ ?) z; Wreport n-values people [0.5]* q( z& y( |4 |9 S ~( n2 b3 P
end
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to setup-plots
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set xmax 301 M' d. N4 l P5 s1 {7 R+ f
& v! l0 j2 [$ f- a, [
set ymax 1.0 o$ a8 V z# X3 b8 x1 S: k2 {2 V
. w* y9 V9 y/ |: Y% |$ s0 Zclear-all-plots
* ]3 V& w+ ], q0 D; d+ h2 r- _$ W* z6 F
setup-plot1
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setup-plot2' `" l, L4 a7 [* B2 ?
" N d2 x4 A/ {
setup-plot3: X) C g3 M" H) @- X
end% A: @4 `+ c/ D
?+ V! s, H6 ] Q;;run time procedures7 s" R5 @" h4 z5 I$ \
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to go
# j; f' P1 O6 R0 P" b
, @7 Z8 P( y( M" z. } iask turtles [do-business]5 c8 |) v8 R; S) K9 Y
end
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to do-business
* R5 E7 K* A; @" s) c6 g) L J8 {3 o8 L1 Y& k
) a \) ]- t5 ^* b6 xrt random 360
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fd 18 U: s' t; @0 N/ Z4 d! o
5 {# Z5 X7 y" S8 S N, \ifelse(other turtles-here != nobody)[
' [- Y5 ^/ K1 S- v- E8 n9 }- V" H7 k6 h9 c4 G
set customer one-of other turtles-here( n" p1 M" }% S: ~
( Q5 `3 T% } O0 \4 \* G
;; set [customer] of customer myself
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, g% ~& o+ o: V/ y0 b' W3 gset [trade-record-one] of self item (([who] of customer) - 1)/ F |* n8 T0 S- R) }. n, L) o
[trade-record-all]of self9 S. P3 s* W1 d- Z
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
+ K6 L, ]4 ~, C+ V! Y2 s/ j- E' x( g a2 |% j" ]
set [trade-record-one] of customer item (([who] of self) - 1)
- n& D& m3 H# @[trade-record-all]of customer' W4 q- t9 J" C" r5 X w
1 l: ? z- L K; m& K1 wset [trade-record-one-len] of self length [trade-record-one] of self/ E8 k/ g; N+ r8 \7 s! V3 f
& p" q4 t9 Q7 q3 D: T3 h: K( y+ b' Vset trade-record-current( list (timer) (random money-upper-limit))
; A" C( u! u+ S( ]1 k6 ?4 `& G5 M* U) x( w7 M$ k; Q( d
ask self [do-trust]2 X$ h' v6 C0 x( J: Z Z
;;先求i对j的信任度! S1 I, {/ _0 ?
* Q' N$ l' f9 J# p9 o* F/ [if ([trust-ok] of self)) l$ e+ u; L" G
;;根据i对j的信任度来决定是否与j进行交易[ I5 @4 N( k: ` [; g! ?; Y
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
0 O! J) D4 S4 x' I5 \: n. X% Q
$ N( x' D1 G$ h+ x[8 @3 ^1 B* q+ `0 d$ f+ c! t
! _) I+ v' O6 s# w" ]* ?1 H" [do-trade* i2 [* k# a) S) T/ `
/ h& c9 N+ ~2 u. Yupdate-credibility-ijl
' F+ y5 l1 V$ r/ H2 F" ?6 _" J: g8 o
update-credibility-list
4 O( \* V6 v. a+ d" f8 |; _/ x& l( V6 Q4 g4 |, N3 X# b
# a$ |/ p* b3 _0 L3 }/ j5 b9 lupdate-global-reputation-list N2 J' R/ |+ W
& {2 [8 v, m& O2 O* Qpoll-class7 m# F [2 F' p& C; P. T
0 U8 B: m& S& j' P* R7 Tget-color# B/ l$ i7 d5 _
1 u( L# S/ o5 o3 u' y5 w]]
: G# H4 W5 d3 m5 K# E1 x% U! v2 M+ X8 v& E: B
;;如果所得的信任度满足条件,则进行交易$ A0 r; _; ]( Z2 @0 d7 P
. o+ L" f/ ~+ `5 L[
2 ]% M) L+ _# x+ c0 C. ? Y3 B5 b
7 H0 X2 _; d9 v0 x" brt random 360* S b! Z1 D/ U
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fd 1
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) ]5 M$ [2 ]( }# S1 j]
8 V8 Z5 Y8 f. j0 ~+ R" A# b. B4 k, R5 A
end1 W: _& U3 e: D* P1 l' {
! }7 D/ {( h2 d" L Z1 N
to do-trust # l6 D! } e& l9 S4 R, Y
set trust-ok False
x( k/ n5 x" D' f8 h% a4 i B
) j: I/ C# B+ L* j. \# l( }% G0 F9 {7 r7 k
let max-trade-times 0
8 f1 s6 l4 g% w5 r% i' Fforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]2 U! z/ q) D2 ?
let max-trade-money 0
( W% c: f" w) h$ x4 B" jforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
$ Q+ p% Z/ q- [% n) }let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))/ ~, M5 m) f4 K7 o; Y& l
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' g- U% O9 m( \1 h% e! ~8 O8 ]. F
get-global-proportion
, Z* W: A2 R, o3 w7 Jlet trust-value9 d, B9 y1 _8 H4 l+ N
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)5 j0 ], \+ [- k) E0 g
if(trust-value > trade-trust-value)
- k: H; |0 m& U3 M7 B/ ?8 e" P[set trust-ok true]* T, |/ s: _# r# y- y9 b
end W0 \1 M+ u6 c4 ?! H" Q; D# X% F8 A% q
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to get-global-proportion
# T, B6 S" N) \' S5 [/ A( eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)0 y1 Q8 Y2 I+ O# |
[set global-proportion 0]# u% T* K0 B4 _5 D; Y, ]
[let i 0
G* E: D* ^; x: j; ~let sum-money 06 q$ L: p' u1 q
while[ i < people]
. ~% u' [% y. h1 a[
! k( s# W! O: u# K" P" |3 @if( length (item i
6 I5 h, \5 S# i- d6 G8 l1 ?( y[trade-record-all] of customer) > 3 )
5 f9 V6 W" e) ?: F0 J( b[( ]' }! Y9 ~) Y, E7 q7 Y8 N
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))2 c- C8 a5 y9 x8 e$ w
]( o! h- A2 t) t$ I. ~4 K9 w5 R
]
% a% L; |2 d+ E: B2 J5 }% ?/ {let j 0, B$ |0 o5 s }' o! G$ Y0 _
let note 0+ f/ e m: [4 t/ s' Y; h4 f
while[ j < people]
, O4 x2 n* g9 [8 c- F2 E[, }# X+ S2 Q0 [2 ^1 }
if( length (item i
O& |. N' h& \; q! Y9 F[trade-record-all] of customer) > 3 )
5 Y1 d- `7 d) L0 d" W[
7 e! J( O9 y4 L5 M# Nifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
# J) \! ?. e- \+ |4 D[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
8 q* s& p$ C- o- M7 f' U[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
; `% {& ]1 T* Y, w0 K! O+ K]" T9 l6 O& a' J7 ]% P: h- k6 f
]0 H, f5 s* z) y0 }) ^0 R( q
set global-proportion note! `1 g9 c& V* Y. L3 I
]! Y$ K8 @/ a: v2 }$ k
end
. e) {# D# g( F, Q# Z& W5 U. [- h1 j. X( Q5 T" `
to do-trade
3 G5 h5 \" p+ {9 ^7 P;;这个过程实际上是给双方作出评价的过程
1 l# P, Z* f5 b, Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
Y1 r1 c3 o0 i/ ~% gset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价% e* M$ {! {0 V3 Z! U" B3 \$ k$ n
set trade-record-current lput(timer) trade-record-current
3 X/ a# F8 w6 y \2 V;;评价时间
6 P8 V9 s1 {( l# C2 |) aask myself [
7 A( J! g- c+ B6 v: U8 _update-local-reputation
1 I0 c* Y+ |1 |" s- r' X7 F1 e7 Q$ ]set trade-record-current lput([local-reputation] of myself) trade-record-current
2 H2 G2 A6 K. U% e9 Z]
) S9 u% n+ `$ O) i iset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself4 b; z2 ] l( J+ v) a
;;将此次交易的记录加入到trade-record-one中, L+ q3 i. \; x, f* b# s. {
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)/ G. t' ^% _" Q+ C6 M4 F/ P5 w; w
let note (item 2 trade-record-current )
) r' N- r) ], _& xset trade-record-current
: Y8 `! C1 M% N$ _+ ~& F+ S(replace-item 2 trade-record-current (item 3 trade-record-current))
' |. }4 `4 {5 O4 t2 nset trade-record-current
8 ?; Q: j. m+ Q(replace-item 3 trade-record-current note)+ F' e, ^# b t0 I
$ {- H# `. ]: U; s, s5 ]
& J3 }& g, P' t& m/ e, A
ask customer [
6 f) }& E' `4 [4 L2 aupdate-local-reputation
+ i) E& T! L+ }/ yset trade-record-current
3 p7 l' A3 n; [8 J7 k$ B(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
5 F% E2 {) Q" t5 S+ T1 M# `]
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4 d$ X9 B+ b; a3 I6 f
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
$ m) ^* o# c: m1 N
# l; z9 @- u* x- C( g, gset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
! g; ^5 d6 s: B) V& J;;将此次交易的记录加入到customer的trade-record-all中
: x* @$ {4 {3 K# A# _, K. L7 o* mend
% }) I$ i& C4 n( V( M$ C4 a1 d- ~0 R( O6 f. u
to update-local-reputation
+ }" w' V# ~. Z; |: M8 M7 Pset [trade-record-one-len] of myself length [trade-record-one] of myself
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4 Q+ i$ Y ]+ Y( X0 q1 A7 y;;if [trade-record-one-len] of myself > 3 % A7 Q3 b# a3 R. z7 s" e
update-neighbor-total6 k! q! m2 ~5 c, v& W
;;更新邻居节点的数目,在此进行6 f: y$ ?& ]$ @% n$ c
let i 3
. q4 g2 }" h' |( Zlet sum-time 0; K' P; v1 J" @3 h) @
while[i < [trade-record-one-len] of myself]
z& W/ m8 [1 z& }# l2 u |[- t, h0 u7 z" A' y& A, |9 p
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )8 T7 O) G5 X4 ~+ O" Z6 d$ Y- ]
set i
! x3 }9 s/ f! Z& y: w8 j( i + 1); ?# l0 W4 v& \( M" J' q. u
]# X3 I- @2 ?5 b1 R: W
let j 3) q# U! a- C$ J/ r+ ?- G* ^
let sum-money 0- r# f7 ?5 V$ p$ y! E9 T5 P
while[j < [trade-record-one-len] of myself]3 L1 @ }' b% L; J
[0 U; R% L6 `" t. }( P9 b: G
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)
+ d! ?- l9 v4 [& Lset j6 z [3 b; @3 j
( j + 1)
5 ?( O+ O% j) t6 Z7 V) q]. x. z+ Q& D9 U8 `1 V
let k 3
$ ?1 ]5 v2 n6 X) |! Plet power 0
1 t$ u- P" c! Jlet local 0
- {; `" \; G) Iwhile [k <[trade-record-one-len] of myself]
+ t( ?2 O+ O4 B9 w: U[7 H6 W; b0 u8 Q: X2 K
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) * U6 j3 @$ h1 o2 A) N2 l
set k (k + 1)
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set [local-reputation] of myself (local)
( ~2 j, Q/ f) f7 I0 R7 p6 Y; p& pend& N C+ p3 r# E9 C: |
8 K9 H* u1 U* v8 Hto update-neighbor-total- \9 g* |7 ?4 g" |0 ]5 ?) s' e
" y7 H: X+ i; Q3 ^2 |0 D$ t: jif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]! v( S H- k/ Y" K, b2 g3 T- i( |
+ _1 A5 Q) h' D* T; v
+ ?: l3 r! f& x2 Vend/ r% Q& g2 ? }, V
* K+ G8 g. G0 oto update-credibility-ijl 5 i6 | x3 B# o6 \
3 n _) H& L( q% ]; u
;;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。+ V1 `/ B! l5 M1 X" T% M
let l 0& l; |8 }5 K9 m3 C; f
while[ l < people ]' B, Y, Q# }. N1 {2 Y) A. S
;;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
% I; v* v- \4 H: {: h/ h2 p9 Q7 Y[( U7 Y2 x3 B, n2 g
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
0 A! R/ X2 V {- z1 O% Bif (trade-record-one-j-l-len > 3)
% N/ T/ R5 U2 u& ~: N# c- J[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, n( @4 Y) n' \6 v/ L# h4 d V
let i 3
) p! I1 Z: d' q. @$ ?5 [let sum-time 0
! e1 s. h: D: c1 c4 J* Awhile[i < trade-record-one-len]* @. }( v& [9 |
[( K: ^9 H' E! o( D X+ j8 Z$ ^( z4 W
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( k9 T* g1 h' s5 l. fset i
, u* ?" `8 a& k: C. V$ {& U: e3 W( i + 1)
. {- C: M: G; Y3 O: P6 ]+ A]/ s9 U; [8 v+ X& v) I3 I* F
let credibility-i-j-l 09 Y3 q3 F0 Z8 `0 [3 _- f
;;i评价(j对jl的评价), k% p: y/ o( Y7 k4 Y/ _
let j 36 V: `) X1 Q* _5 G4 |% E% s) ?
let k 4; Z5 f6 [/ `# C/ O% P9 w& l4 n
while[j < trade-record-one-len]
+ T( e$ R6 J5 J$ i& y6 M' d3 o6 A2 P[
8 {* O: Q5 t' F. 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
^* O) T$ t" q3 Bset 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)
; s$ {& {% c- `- G# Q+ ?! q7 z" t0 ?set j P; j' `7 B* V, M* v* W
( j + 1)
9 p$ d. I Z, V( n1 g2 u3 z- {+ Z]
9 I7 l) `/ n6 w, L( cset [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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6 w; Z3 D$ V9 W7 h0 E. Hlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); b r$ X; o9 N1 s
;;及时更新i对l的评价质量的评价0 a/ P2 s+ G1 d* Y: O; y' z, s9 ]; `
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]# x0 n; O( w! b8 B/ U" c+ s
set l (l + 1)
& X/ e; _$ t6 o* M; z]
* F; q1 w- l( x4 E T; C9 qend
/ ]" l/ |) L. ~/ o1 a9 X/ @' N
& x |; }( ~- i% ]5 d9 Kto update-credibility-list
+ u3 ^, D6 w5 L* H) I* Xlet i 0
8 K, L+ O4 u0 ^while[i < people]! `0 x6 g8 c% O; U2 Y7 ?# m+ j
[3 I/ ~1 n7 j0 j# v$ z' b
let j 0$ k4 B ]0 T ]# R9 ^# z! e$ C
let note 0
) B6 g" x9 U" S8 glet k 0/ I" m2 Y/ v% J) i0 C8 Z
;;计作出过评价的邻居节点的数目& w+ H! E) j8 F1 |' T# Z7 `
while[j < people]. b/ c7 n q% @$ F5 t, T: a1 `. n
[
* a) C2 y+ i0 ~; `2 i, @if (item j( [credibility] of turtle (i + 1)) != -1)
$ R/ G9 R/ m, [# x;;判断是否给本turtle的评价质量做出过评价的节点
5 z+ H% J" V% k8 a[set note (note + item j ([credibility]of turtle (i + 1)))
+ Z+ }( y# R* y: c4 W;;*(exp (-(people - 2)))/(people - 2))]
( C$ v) p8 ?% q1 G$ r& kset k (k + 1)
1 i" t$ z9 w/ N. c4 @]" E$ T+ S5 Q' B% O; }7 w- O
set j (j + 1)- {0 }( q" ? N
]4 S& T2 G. C9 W8 k
set note (note *(exp (- (1 / k)))/ k)* Z# s# f; c6 n5 O0 e, T3 K, }; R) g5 @
set credibility-list (replace-item i credibility-list note)
6 l5 x2 M5 x1 \1 k" p. x# T2 pset i (i + 1)
3 d( Y' v2 u4 D+ M8 O. R]
6 D* K; D* p$ W7 W. {( jend2 [* a5 c+ {2 z
4 t2 T c# Z4 `6 u Mto update-global-reputation-list
3 f" I; U. J: |0 \1 Xlet j 08 c, Z9 a: v( f4 b$ i
while[j < people]
j- W2 ^ Q) `. M" z[
" B4 c/ A+ O) @' s6 plet new 0
$ V6 B$ i9 Y: |9 F( Y;;暂存新的一个全局声誉
" M: k7 w" N- H7 u \) p2 W6 }let i 06 f, j% x/ |# I8 l' |
let sum-money 03 G1 ~$ t$ }% d) N# Q; X& \, k2 Y$ g
let credibility-money 0! c/ z" \, Z* H: I! y% q9 G
while [i < people]/ l w2 H% p/ b4 V2 K/ ~$ W
[
9 r, t! q( j1 ?' T/ Mset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))) Y$ }9 A& V" X9 `3 y7 T
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
& v t# e* \% g. B, J" Y1 g3 }2 [set i (i + 1)1 i3 I9 m5 }; n% O' E4 y
]- A* f% ]; v/ b& I- ]3 d9 G; L& ?1 i& o
let k 01 v" t* M2 C6 U+ @0 \ |- j
let new1 0
( ?, s Z( h% \# q# h+ `4 T/ N' T! lwhile [k < people]
+ D& Z: U1 R; R: Y[1 C- T0 g: r0 F3 `8 _1 j8 f- r: @
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)
+ x- M( l# E; [8 ~& |8 ?: ^ zset k (k + 1)
4 I: g M$ C- p" M# N; o- L]+ C1 g) l+ O$ A6 ^
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
0 n% n2 U# X" L5 G, dset global-reputation-list (replace-item j global-reputation-list new)
$ R* i+ h i" ], ]! mset j (j + 1)
, Q' h( n! k9 o+ S! { j6 H' t]
' s+ f' Q1 F: i4 H/ ^# Tend
/ _1 }% i% L2 L6 K2 W6 b
: E6 O8 j& |* ^
' n# z" B0 ~* R+ d: [6 Z- Z8 _3 `, P/ W! e
to get-color6 l" O5 h& A5 _( w4 ? D" L
0 k+ S9 k$ L& Q, A2 m& N% Y5 f
set color blue# w% t+ M( T8 B; X$ U$ N
end0 r# d. }4 d, n2 ~- ]
- X5 c. H+ B5 n# [
to poll-class. _% r1 N7 d; P1 c4 E9 h% A: Y
end
, O, g) O. J: [% Q4 \4 s, ?- ?- h1 w0 S+ _+ L/ `" m$ j2 Q
to setup-plot1/ i0 C; _3 Z3 i' u, P( C+ c
) {+ h9 _, Y7 x, W1 ~$ n! l" Gset-current-plot "Trends-of-Local-reputation"0 K( p# i1 W7 p( s
) S) m* {; L5 j4 L9 h, H
set-plot-x-range 0 xmax
1 G& Y8 `8 D. n# ?, p) _( a* J) y3 Y, e5 \- O2 Q; ]
set-plot-y-range 0.0 ymax
" o' z; r0 y/ \% t8 r. g, S7 M! wend
) Y3 G2 o5 d* r f* N) C* J
6 b- z( f. w: M* y2 h7 e: {to setup-plot26 l5 R3 A n3 a$ |) Z. S/ D
% }. H! G& v- f, ]$ W7 K
set-current-plot "Trends-of-global-reputation"3 F0 z. V9 T9 @% E4 M4 f& `
6 ~4 D( B, q) r n7 Nset-plot-x-range 0 xmax
2 s; r- j8 e1 k/ t- |7 v* X9 ~1 l# _9 {: s* [+ Y0 u
set-plot-y-range 0.0 ymax
, `4 S# d7 l, T [3 Gend7 P! R( F- r" _5 h8 @: C1 f$ `0 b
, ^' v" G/ [) a' r
to setup-plot3$ X' P) ~# e* K' u! i
, R C; p; c3 m P' Yset-current-plot "Trends-of-credibility"
: P' S0 Z. m5 k7 \
6 V5 }8 v K. g" T1 gset-plot-x-range 0 xmax' a1 ]+ R1 G! Y$ p8 v& I
* a0 v4 R, {( o6 Aset-plot-y-range 0.0 ymax" L5 n4 R/ x9 L( C
end
" J8 z( l( H: C& h' g
0 k9 W# ?5 Q7 E6 Ito do-plots( Q; v, J' o, {( c4 }5 K9 o
set-current-plot "Trends-of-Local-reputation"( S6 o+ \# \6 [) u7 ?- e
set-current-plot-pen "Honest service"7 v- a% C8 x+ Y$ y2 n, Q
end$ |$ g8 a, j& y4 S3 K
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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