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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
7 D) ]; u( e' o0 q" y Wglobals[3 r t4 I5 }; U# d4 M6 j4 D0 N4 o
xmax' X' p$ e+ c: c, `" m! C
ymax7 K6 P. g1 Z# r+ }0 q) Y. ]
global-reputation-list
1 a) d! m. u( X: a0 \
( t" Q$ T- c& ~3 ~6 Z: v& B. v;;每一个turtle的全局声誉都存在此LIST中2 e D( ]3 B/ w
credibility-list) m) e5 L6 k6 l, o" T
;;每一个turtle的评价可信度
6 R( ^" g( Q" `9 shonest-service# D( B, ?- n1 \9 ?
unhonest-service: I, P0 l6 |6 M
oscillation
2 J/ V, E- n0 L1 Y6 s- w& ?: r; ?1 grand-dynamic
2 M- M: L& H: p: E) v" j]
* m/ X2 o+ M% m( [3 @
+ U+ _) ^; b$ nturtles-own[
* C5 g# i, K. z& O5 ~trade-record-all2 {+ ?6 b/ C' M
;;a list of lists,由trade-record-one组成/ S0 e9 o9 R, Z Z
trade-record-one& N3 f+ H1 C3 H% B( }( h* n. ~; a/ W
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录3 ]+ F% p. r. p3 i$ |4 o3 `) w
' _/ p+ j* c7 k' O+ m+ b; {
;;[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]]7 @4 F) C& l z& K V8 ?8 v
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]. K, M, Q8 i' o6 u B- U
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
3 A# |+ I! L& F/ {: ineighbor-total" }0 g. D; }1 ?
;;记录该turtle的邻居节点的数目6 v( f& I/ ]+ Z( @7 @' \! U% P
trade-time# _- H+ Z0 O3 r! k
;;当前发生交易的turtle的交易时间; x! n- ^5 X0 N
appraise-give
) a+ V5 {( z( Y4 k1 [+ f;;当前发生交易时给出的评价9 }& H" ~3 l7 `$ F/ w/ I4 o A0 M
appraise-receive P2 p$ S% Q6 G+ ~9 |
;;当前发生交易时收到的评价
6 r* T9 f) ]1 C+ z; \. W0 J! Mappraise-time) ^/ |8 c4 }; f3 L& Z1 [6 e
;;当前发生交易时的评价时间 F- G# n V# m L# ]
local-reputation-now;;此次交易后相对于对方turtle的局部声誉# |7 p! p- b% f% O
trade-times-total$ ^5 \& \1 }' c+ [: V5 f- N
;;与当前turtle的交易总次数4 p5 L7 \: y% y
trade-money-total
. x, k* @) d# S& o d5 K;;与当前turtle的交易总金额4 F6 x) M7 }3 i+ ~
local-reputation
0 |/ b2 {$ ~) ?global-reputation# P3 I/ X* _0 _3 x% S' T0 ^
credibility1 S0 P z# n4 i4 v
;;评价可信度,每次交易后都需要更新
9 r* m8 @4 X& a0 F) kcredibility-all0 R+ e" j2 d: 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: P9 U5 E2 C; s: b
, C8 W- y, F2 @. S;;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 \# v [- O2 E, n, O! |
credibility-one
m. i7 N9 G. e( J2 `9 E;;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/ F8 ^6 k" Y: y4 N
global-proportion
( T2 j; }. i% k3 D1 [, k2 J4 ?1 N- jcustomer- Q/ R4 S Y6 H. u9 }
customer-no- L/ F# [# S, {9 ^$ H$ `! X" A. x
trust-ok: _% X; o0 }5 p$ N W1 |
trade-record-one-len;;trade-record-one的长度' ~. r. m9 m8 A' }/ K
]2 ?8 U% Z- e0 v* ~6 S
: e1 v0 h5 ]4 V" {+ u;;setup procedure
( z `9 e. |" i: Z$ r( a) X0 }& u/ T. A; j/ z
to setup
0 L- C; |) j: P: Z+ ~2 ?& d. C. w1 F! @! p9 i
ca1 p1 w; q$ P+ A/ ^1 P
9 C [7 P+ H9 |1 `% \+ D" {initialize-settings! P+ ` Y" A# U/ ?& r7 c
$ _5 p, S Z6 b3 Y* j
crt people [setup-turtles]5 @9 [3 J5 B, S! [) C' ^/ {6 ]
5 K" V: Y: N2 D) areset-timer& a' ^" {3 y8 D' v6 t
! i1 _6 s! U5 t% k6 b
poll-class4 h3 W) @" G3 F. V# l# L
1 T/ v7 U1 t0 M6 nsetup-plots
! B& O. M$ H9 \. h+ u/ i8 y2 A* f4 r6 |9 n; x" m
do-plots
. I$ [* J+ o/ o5 ~& M9 qend
0 |% N% ?% t0 K' I1 l
& }! G( G1 R$ |1 v/ n9 O! kto initialize-settings6 P+ Z u9 w1 h# T$ u% i$ [5 n
. q" c5 W) U! e! y5 }* \set global-reputation-list []+ t) Z. }7 d, g0 o) ^' @
: [5 i( o P. Z& j0 [set credibility-list n-values people [0.5]
. z+ K9 ]5 F( Z' l8 |
0 P2 Z( v; v4 `2 Yset honest-service 0
9 M1 o9 G; D6 x! a% o2 X) K$ }
. d5 F3 O/ P% B/ {, M1 ]9 yset unhonest-service 0/ i5 B' D! S' l7 ^$ }$ J5 r# V
7 H% f" u% I! ~2 a( X+ g# e
set oscillation 0: W, l! E7 T) j! V c, M
* O, M) E5 G& U+ Z& M) Jset rand-dynamic 0
1 X% [8 x, h5 |% Yend+ R: {3 R/ c1 C8 d
3 |& Y, k( l! k4 W. F& V8 tto setup-turtles @3 V9 K; Q9 L" Y
set shape "person"
, `8 M# S, ?$ isetxy random-xcor random-ycor
1 R3 f8 ^! }7 p, G) Bset trade-record-one []
) C# {0 O' |& n b3 s
0 ~; Z& l* @2 r% Q' Q4 S0 d& oset trade-record-all n-values people [(list (? + 1) 0 0)] . }1 i- l$ [8 C+ z
5 h/ u! `. R$ ~) j" M' u
set trade-record-current []
% k3 ~3 k$ F5 A9 l' nset credibility-receive []
+ p9 r8 V& J, y+ |6 ]; `; ~& Y! u' gset local-reputation 0.59 A0 i) R) e q8 B; d
set neighbor-total 0. T1 C& K x+ k3 Z# Y7 Y0 Q+ \( M6 E
set trade-times-total 02 U5 q& X' [* _% D
set trade-money-total 06 O" I" X2 S$ u( I. G. G# |7 j" _
set customer nobody
: T( i, N0 {, Zset credibility-all n-values people [creat-credibility]
6 N3 X4 E) D) x. d; h2 d. Uset credibility n-values people [-1]
7 ^+ w4 u! \9 E7 X; xget-color* D; m0 S( Y# G) j5 H1 X
1 D d+ v, t/ ^! H3 Jend5 w2 Y3 k4 k$ K
) V! k) z9 N" D+ {. {to-report creat-credibility) t! t1 E6 f W* O6 J3 J5 f2 y
report n-values people [0.5]. A a# `2 V3 Y6 f4 T
end
4 m) d2 _9 I( h4 p! K
' B% R: S$ m$ p+ h9 u8 j& V0 M( r3 Hto setup-plots
' ?3 z5 x! H) _7 \" g' K7 S, n" b% i" L1 h( u2 o4 M
set xmax 30
* t& G" b5 J1 ~2 h2 o: j/ c: S+ }8 S! d
set ymax 1.0' ]" Q$ `! ]4 ^7 z
8 {% P+ ^5 f* q4 T% lclear-all-plots2 B7 S4 q0 b7 X4 B+ v
) D9 \# S2 ?, v7 Q2 a: @! z
setup-plot1
+ k9 A& T" J( n% b* O7 v% F: ~ q) B1 W+ `0 C" g$ c! U% A
setup-plot2
! ~- N. `7 K% ^( E4 ~
: @5 k0 I: F8 O* q; E' l" G# dsetup-plot3
; O. U2 O) W7 j C" ?. Mend
0 j8 U% E, R3 p/ i
8 _# ?- }/ c9 _1 `' H9 i" N;;run time procedures- B; S9 i" n$ Z8 {/ `
4 I. O* F' ~- {% c% j! v" u. Y9 pto go. F- P4 @5 ?+ q% Z
# R' }% B- k" G+ o3 ?ask turtles [do-business]5 ]# } c' X% `+ ] P6 s4 `3 Q
end
; P' P; M) x, O$ l7 [; o8 y |+ A0 h3 V% P
to do-business
- K: @/ d0 @: P% V" p# h1 w( c, d
; n% N0 N% z' ~( a! ert random 360
7 M3 I( p, H3 k% j3 I2 K9 i4 W& {# b" Q
fd 1. r! r1 i' D5 P& f) b) ]
. _: T3 ^8 {( z% I4 ]' H7 lifelse(other turtles-here != nobody)[$ z7 S2 j% W% K( k
" j+ I$ z1 A1 ~+ t$ R) Mset customer one-of other turtles-here
6 R) C1 x) j+ V# a. ^9 c
7 P; v. I1 p7 l' F;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
8 R- {, _; B8 J+ O[trade-record-all]of self0 j3 T- Y0 u$ s V* J2 |8 L
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
) K& P6 c# @ C/ x5 }% O y+ Y4 e+ I; H/ b9 w7 ^$ _% C( S
set [trade-record-one] of customer item (([who] of self) - 1). {+ N; c. V8 N9 I* L& i. \
[trade-record-all]of customer) p/ c8 B6 @! g$ k# n+ l
3 {$ E! [6 Q/ E+ l4 v( s7 H) v
set [trade-record-one-len] of self length [trade-record-one] of self
; V) s- f' x9 P& k1 U
4 [7 Z3 ]/ e% t3 V, E: kset trade-record-current( list (timer) (random money-upper-limit))
' n7 t7 X; w% o
, R' l' C. h, W3 I b5 K* yask self [do-trust]
+ w, X2 X7 g# B5 f;;先求i对j的信任度
4 M2 |7 q# U8 V& L+ U7 ~9 ?3 D, Q4 \6 Z3 M: q
if ([trust-ok] of self)
$ z) s, F- n C! J, e; v;;根据i对j的信任度来决定是否与j进行交易[
: m' r: N: ^6 }9 K( ~8 w Nask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
2 I- h/ S+ m4 Q7 K9 p, Z% f* u0 O4 e4 H
[- V/ y9 D3 h: {( ~) e/ u+ E9 I+ B) R
6 q+ O8 P7 O9 n2 Ndo-trade$ \# } W- `+ h
/ J9 ^3 b. L) D) u; @" F+ D+ G2 L" M
update-credibility-ijl
, K4 m; y& b" m+ a) A* ^/ u9 E/ h; y" v% O( ]
update-credibility-list
- C. p& D6 F, y2 c& \& t: }. e& P' n# n8 y+ d; B; a9 Y$ {2 N; A
' }: o# }9 |( J5 Qupdate-global-reputation-list+ D5 H$ ]9 |5 {
: T2 K3 k3 y5 N9 j0 T W
poll-class2 J$ R+ V% C5 {) Y8 i
& g% ^* o) F( G2 t* sget-color9 |# q! R0 ^- k6 Q2 U O) m
/ M0 X+ L! S) B6 z7 e2 ?* }+ |1 h]]
1 }7 s3 N3 O* o4 s: p
$ p; _+ g5 z. l;;如果所得的信任度满足条件,则进行交易
7 \8 m1 o4 Z1 z6 \1 b# M( c
/ {& p* ?2 L- c l% ]8 O[5 B% ?$ m' j0 [. c
3 J& X, D" h7 p+ W# C3 ?, K9 u- Grt random 360
2 n5 @$ n) h' C4 V
4 ~4 H7 }! n3 g- y Kfd 14 ?- ^ n0 `2 @3 G
2 q/ M) V9 K- A: \1 N* D]0 a0 i- b7 V4 U( o$ [9 N& p
- m4 Z% Q* A) r* x+ uend
. W2 o$ k+ L! ]4 Z7 _3 t4 j% H( P' H- s. I
to do-trust 2 x4 N- C7 v& d5 W
set trust-ok False
" E; r A# g5 j& r* g1 E$ H& U1 \" Q/ X2 n6 ~' J, V
" ?- q% B) g& g5 Z% L
let max-trade-times 0, `; V1 f" |$ f; |1 s/ |4 r
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% C$ D: p8 X. n7 u
let max-trade-money 0" ^1 p, X" L% q/ C( H7 j8 k
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
0 {! S- a$ j, Y" Klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)). R' O7 W1 H9 p
) m; v# f' w% b! v. h* K3 I
' K- k* s* D5 J- X4 F: qget-global-proportion) T, ~5 ]8 k v5 L
let trust-value
! c+ L% h0 }4 t+ q* R4 s3 Olocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)6 V4 Y. @; N0 u6 t2 h7 q+ @$ {
if(trust-value > trade-trust-value)9 B6 X) K! i7 J) ?% B2 G
[set trust-ok true]
2 r: C4 A- }. ^8 N5 ]end
- f* w- L# Z2 l ]4 I, P" M1 b
7 ?4 S( q/ C O6 {) ~to get-global-proportion
7 Q9 f! Z! S" T5 @) v; \ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3). U p1 I* A/ z
[set global-proportion 0]
4 n+ M0 f, s& L* Z4 Q( m3 z[let i 0
: [ L& f) X1 }9 J) ~( g% ~- E: vlet sum-money 0; [2 u& N, C& i3 W
while[ i < people]
9 Z0 x. z% [, }# |* n# L& m[0 H r9 Z. l: F# d- w
if( length (item i
. N. I5 f2 P* s: w- ?' A2 a[trade-record-all] of customer) > 3 )
0 E7 [" k/ \. v- }) C/ D[
3 Z# r, q. k* w: P* l( q+ Lset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
. ? ` t. A5 r* f& z# Z]6 K0 B, n5 y; r* m$ N# o3 ~
]& d2 D+ P4 L+ Q- j8 J& @
let j 0
/ R4 }8 q$ `) `9 y% H5 }let note 0. M. [8 z5 ^/ G3 \# D6 }( p7 }3 J, A
while[ j < people]
! q7 e4 |' q# Z[
F. ?1 V: `1 L, lif( length (item i% w3 \( e* Y ~# _. p; d
[trade-record-all] of customer) > 3 )
. s$ n. o: [3 ~[3 \5 C6 x" o7 L3 N% I. E5 y
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
5 ^( Z$ h8 @/ {6 ^2 d" I7 ?- F% \4 ]% Y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
" v1 V2 f# A7 n: h! ~[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]- H1 N D( Z0 M" H$ q) G) Y
]
# ~: @2 E6 x& O! T3 L; J]* U. I( G" B" r% D6 T+ f2 M
set global-proportion note* C) h0 ^' K, h9 Q! c3 I+ \0 {3 k) V
], x3 i( ?8 n) P6 o' R% [! P7 f
end3 g+ s* H' T6 {; k5 g4 Z
* L: q6 B6 \5 X% W9 y5 Hto do-trade& d) ~9 @" r' B: \
;;这个过程实际上是给双方作出评价的过程
4 K( o! p7 T" }4 f3 x0 vset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
1 j, I+ w# s2 q# N2 x @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
; ]7 P' f7 u8 `set trade-record-current lput(timer) trade-record-current
V% H9 X$ Y* }5 x;;评价时间7 B* _9 L5 B# Q+ J1 @
ask myself [% [1 ]1 {8 X& G9 |# {; L
update-local-reputation
l' D) O' f$ K7 Fset trade-record-current lput([local-reputation] of myself) trade-record-current
( d6 e5 K0 Y# K% s- M: T* P7 Z]! H- b! v2 k7 s2 |
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself- O- G' o/ s6 q2 s
;;将此次交易的记录加入到trade-record-one中# M- w" _" s. e( t% _' i% W% B
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)* n9 y3 c R3 l. C1 y" n% v
let note (item 2 trade-record-current ). h4 D r! s3 s# N
set trade-record-current3 D, o i% Q5 L8 [& M# s; d
(replace-item 2 trade-record-current (item 3 trade-record-current))
8 R% L+ \( r6 B0 ^, ?3 `set trade-record-current/ [9 A7 ?- y: w/ u! Q5 S
(replace-item 3 trade-record-current note)- S; F) @/ M" R* j; R1 ?* H5 A/ O
5 w, _' F' W; B& g" G1 z% D& f; [2 Q$ V3 o) L
ask customer [$ z4 ?3 Y' u. }# Q: N* \8 K
update-local-reputation
& j& T6 D& _! {, l% O5 ?$ Bset trade-record-current% s# T, X4 z) g2 F
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
! L- H; X6 P* _6 s A7 x]2 `) b8 n7 e3 _7 r$ T1 P% f7 S% S
: o6 v n$ w) D# K$ k
. c, R7 x5 X% _2 O$ m
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
$ Z* u5 r. f; W( ^+ p
* }' W% s2 J- g- J0 J* _set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
. X+ M, Y& v( E. V;;将此次交易的记录加入到customer的trade-record-all中
1 J, P9 n, x7 @$ L0 a7 d) \, k" aend% ^4 y4 U, L# c1 N$ T9 }
% e6 v- P5 R5 ~3 H& tto update-local-reputation2 j" [7 g9 e, o, u C3 i
set [trade-record-one-len] of myself length [trade-record-one] of myself6 m* x, P4 \/ ~, Q+ P5 A
9 y6 X1 `4 g6 z, R* o) m( q% U9 m* Y7 c. T- }; }3 A( t; q
;;if [trade-record-one-len] of myself > 3 " N! k4 H8 N9 J5 V# |
update-neighbor-total
" p* `5 V& q8 ^" E+ C8 o1 I3 ^0 t;;更新邻居节点的数目,在此进行
/ W( d# B8 w3 k5 G1 olet i 3) H e% r9 O" `# q
let sum-time 0
' F5 T' X. C7 e$ |: u* y/ zwhile[i < [trade-record-one-len] of myself]
* f5 P( ]. n& z4 u[
3 S) f1 d/ [; F$ t j' W- `7 ?set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )# ^# j4 Z: F9 k5 `; x/ h
set i1 \5 z$ U7 K, N
( i + 1)& v" ^2 B. H3 J, P; `- _- v
]% r, _2 @9 A! ^: V: ?, N8 @! ]
let j 3
6 { p0 O& u( d* r; T; f- llet sum-money 0
" j$ @1 g, o# Twhile[j < [trade-record-one-len] of myself]# a+ Y7 |6 J; _6 V* z- X
[
1 D, _% q& Q/ k; i# Vset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)$ j! g$ [ N% v% _
set j
" J3 w, ~+ Z+ B( i5 C M. _( j + 1)* V, {8 a' y0 d8 c1 j# y. e
]
* i5 ^" k! c# Wlet k 3: j) P9 F% t, s$ I% U+ T+ I7 K% _
let power 0' B% ?) y u0 O* `
let local 0* r5 V+ p: D# @5 \$ g7 m
while [k <[trade-record-one-len] of myself]
% \, Q: n' O* h2 S3 y+ V, R[
: q( H* o% z. G: X, Fset 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)
& t w; ]4 A$ B% r3 W2 b4 m) Tset k (k + 1)9 k3 L0 s& ]$ ?4 g. @9 j; U8 P2 Q
]# y* q- a7 W/ U* t2 V9 |* o
set [local-reputation] of myself (local)
: ^+ B, O" y A7 y8 Tend
# F$ ~" f5 L8 G& i6 l! s* h7 B' X& h
to update-neighbor-total
" o: X& J" y# z! V& T- m$ n
7 a. d9 k9 ?# O) ]( R& Kif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
/ G% g9 s) m# h/ s5 P( D& S$ i" C+ c1 G% t/ _3 c( V+ d1 o
4 B, G! f9 G6 ^6 o, f7 B" y5 I
end
5 Z4 g) r0 |; p9 k8 e. p' u
* f* k2 o( z& d( ito update-credibility-ijl ( ?/ T x# k. \2 n$ ?- m# Z
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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。
) R( X' |* H3 s. c; x6 w: vlet l 0" s; B0 |7 t9 g4 B. S# g7 q& h
while[ l < people ]
K. |, k4 E( j2 b" m;;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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
5 h- W5 |- ]& @' vif (trade-record-one-j-l-len > 3)
, C( V7 X7 k G& f/ v' q[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: k6 t* {/ r$ N$ k4 l& ?
let i 3# v0 o. ~; u( c2 K; G
let sum-time 0
: d$ M5 a" P- w* wwhile[i < trade-record-one-len]2 D$ P, B5 X2 n2 @ m
[
1 Q. M% @1 o/ nset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
3 h: Y/ u0 }- Y3 `' aset i8 A- ^( G, P3 Z- N2 @8 |6 [3 ]/ z
( i + 1)9 U$ q, d" b7 A0 x# G
]
+ s1 l! X2 \( q) hlet credibility-i-j-l 00 n, S u2 V) |5 C( k. n1 O0 X) W
;;i评价(j对jl的评价)
+ b/ M; }7 {& h. C4 h7 @let j 3* _, P5 T4 C q
let k 4- ^* j- p" K& o% [1 y4 D# l
while[j < trade-record-one-len]$ ]7 C, ^5 z, g/ r& M3 ^: B4 ?
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while [((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3 r3 [4 A+ r9 u& q
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)2 A$ `7 s& B r" m- y3 }
set j
2 P6 F" p% l; [7 X) s( j + 1)) K& A( \0 B5 b# V
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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))
4 c6 M" b0 j$ l t;;及时更新i对l的评价质量的评价* g3 W$ R$ ?; Q5 l8 M& m' l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]( k' k- k. o& M
set l (l + 1)7 t J! B; K V
]
; S1 ?# \$ u; }7 |) ?6 }* Jend6 D7 \( i6 ]& ] b
- \! M0 D" c/ T, U8 |' q, p* B
to update-credibility-list
2 {1 M2 g W6 p% d( F$ _4 mlet i 04 }) i I( {! [7 g7 x6 }! n
while[i < people]; x# X6 d( \0 W
[2 n1 l. r1 a" @
let j 0
' k- X: V' u& p; flet note 0, \+ f- g; ~, }) P$ ~4 P
let k 0
7 z* P# b5 |# h9 h;;计作出过评价的邻居节点的数目3 x; Z# a+ S" O
while[j < people]' G8 X" j! \( p6 V$ V ?
[
1 t$ ~6 [% P5 U6 {if (item j( [credibility] of turtle (i + 1)) != -1)
3 _0 h. F3 W# q/ X/ P8 d8 J" i( n+ D;;判断是否给本turtle的评价质量做出过评价的节点
' ~1 S8 F* W7 d- W1 L8 l; Q[set note (note + item j ([credibility]of turtle (i + 1))) o; p1 l( M) u+ [- U
;;*(exp (-(people - 2)))/(people - 2))]0 g8 M' i* }5 m$ n) v
set k (k + 1)
% w: ~. U* F' l) R( C8 B]
* P |* N7 o+ p: e. Yset j (j + 1)
( [$ P1 o- W. M& G3 y4 R+ []
7 I) P! F/ b1 \2 I: _set note (note *(exp (- (1 / k)))/ k)8 [. g/ ^0 X( I
set credibility-list (replace-item i credibility-list note)2 |( p; C5 v. h/ C+ h# t
set i (i + 1)
$ [) x) G, ~4 I5 `2 k* _3 L+ q]
, \4 t# B& p2 ^+ w7 M5 e+ `& K+ Dend
: {; d" ]- h* Z$ Y* Y* @1 F8 k7 h- K1 q$ d z. J. V
to update-global-reputation-list
) Z4 I2 v/ p% M$ Rlet j 0
/ h! Q3 e0 a) |8 mwhile[j < people]0 R) ]$ H, u. w4 J: u6 X, O! ?
[3 F" ^% R& Q$ |; Z# A/ |
let new 05 x% E* [$ }% |8 S4 a; Z: g) @" D
;;暂存新的一个全局声誉* S | g9 H. n
let i 0
% R5 ~0 p0 K4 X7 Alet sum-money 0
/ |; u5 L% y+ d1 e2 ?0 Qlet credibility-money 0
- c& `5 l- D* A0 p- ?, `* ^while [i < people]
* y2 B" a, R; s3 e! Y7 K) k[
3 M- f9 }9 t2 Fset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))" Z4 A6 Y( n* M/ [4 q( L# q
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))* M4 `) A) f. _
set i (i + 1)
0 S- {: x. _4 V; U]: m( i T" L8 w' m
let k 0
6 J, A: @5 y4 `5 J3 Rlet new1 0
, W/ f. [0 n4 Zwhile [k < people]
) i I# ?- Z5 i[+ h# Z' M# \5 Z& u8 m
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)
! j3 \+ U7 q; `- X( D9 i- sset k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
/ g( Q0 u* q! ~! {6 rset global-reputation-list (replace-item j global-reputation-list new)
* r: a% x' o' C! a4 F& D( Qset j (j + 1)
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end
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2 h( C5 x; W. r1 k+ [1 m' Ato get-color
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2 k6 |7 \ p# \% jset color blue
' w( m) G' u% l& H c0 t6 ?end
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# v2 j9 u$ ^1 w$ ^; [7 rto poll-class$ J+ E" Z% Z6 c1 n
end/ {2 c* x6 k! [/ P1 Y E" J
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to setup-plot1
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: R! k6 O- k( W( ^. hset-current-plot "Trends-of-Local-reputation"! b5 d; {3 b" [8 B1 q3 C- f1 m
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax
" }3 t6 v' f9 r W; ^6 A& p2 y7 {/ Eend# X- u- l, v. U: ^+ C( V* g
6 B( I( P! Z* yto setup-plot2
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1 z+ l6 P5 _3 @+ i1 [. tset-current-plot "Trends-of-global-reputation"6 Q, i6 S8 E$ H
7 D6 z8 R+ b( M! H4 W* n( |8 c
set-plot-x-range 0 xmax; P& e4 A0 V6 D
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set-plot-y-range 0.0 ymax
3 g. P# }; Y5 Nend4 g& g8 d1 d9 n* {: ^5 h
3 H1 z/ [# B8 R
to setup-plot3
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* l/ \( D) X* a( `: Lset-current-plot "Trends-of-credibility"
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( O* Q" f" j# D* o+ ^set-plot-x-range 0 xmax& A$ Y1 V9 D2 W- Y1 l% E) D
) a% T% O$ I5 w* Y) r8 g- Rset-plot-y-range 0.0 ymax$ a( v# n* f" |1 ~9 N
end( Z4 P; n- n5 E! p9 G7 f% t5 [
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to do-plots8 y) r, T1 `5 b# U6 k" M, X; R
set-current-plot "Trends-of-Local-reputation"
m, o& D" D2 t; {1 Y( D0 Iset-current-plot-pen "Honest service"% `0 X ?0 a" _- }
end
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: L! ^, `4 Y, P. W[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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