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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
5 f8 Y: k1 I P( a' a9 F7 ?% I% U3 a# Gglobals[
9 l/ S! O& V: r3 H) a( S/ ^xmax
1 r" \# Z8 b! g2 N9 P: O4 uymax1 R5 k) n h+ M P- O& s8 e8 h
global-reputation-list
' A0 M8 m/ E8 [3 O- _* ^1 L, l) ?2 P! g* r( T& x! t2 }7 `
;;每一个turtle的全局声誉都存在此LIST中+ Q h) l; e/ Q _2 q6 H% U0 N
credibility-list, c' e: z$ M, M9 {; z# X' ?! u" m
;;每一个turtle的评价可信度9 o9 V% A( v) d4 _7 z& L, J8 U7 k
honest-service" z& P/ C7 \0 Y
unhonest-service5 @: H/ E' o" p
oscillation
6 e) x( v" A- ~# U3 L( Arand-dynamic' a, w5 y( B$ Q2 r, D
]7 d: v6 k$ N9 J9 d5 T Q+ A$ V
; I( B, Y( h# C8 G# g4 e* H1 p
turtles-own[
) R% o* Q2 k. f+ H( p. e% Jtrade-record-all$ Z( M! N9 j$ l4 [ ?
;;a list of lists,由trade-record-one组成
1 ^. v8 {: v% T8 n# a J" otrade-record-one
" q3 q1 Z) U$ j$ f+ 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
) Y% m \* h b7 L* @3 f
5 ]. d2 i; I3 @5 E0 s# Y' x;;[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]]' K) S( c/ }3 l5 Z. y3 `
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]/ t) |/ K& e9 K O6 j3 N( o) x
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
$ t" ?6 I# N. W! j) n1 vneighbor-total, B9 p9 h5 }" p* I- [3 X
;;记录该turtle的邻居节点的数目4 `5 f- o6 e( z4 U( Y
trade-time5 Q# u$ ^3 @+ i& m
;;当前发生交易的turtle的交易时间
( h, b# M: P( G# s6 Vappraise-give) S; S& L8 s; I3 {3 F7 i. |
;;当前发生交易时给出的评价
$ I% z6 Q7 Z' Z' ^$ Fappraise-receive
+ J; t1 |. C: W1 Z( s;;当前发生交易时收到的评价
' c0 [$ X% A% M2 O3 K! G) Q, R3 Q/ ^appraise-time7 i( D! G7 l4 J+ W* `
;;当前发生交易时的评价时间; J+ y4 S# i& X; w7 y! n4 J- n: {, A) {
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
4 M* x6 m$ `0 c7 ptrade-times-total# U5 ]% p) y7 F# u1 y
;;与当前turtle的交易总次数8 R7 Y0 w3 Y' p( W8 t; q$ r
trade-money-total3 O9 ^; z9 R0 O7 r6 p8 ?2 h
;;与当前turtle的交易总金额3 l# @/ \; A# F4 b" {
local-reputation
2 w8 Z9 |1 T- Dglobal-reputation P% @7 c2 y H" d: C, n
credibility( x9 A% p- }* q) p/ Y8 b
;;评价可信度,每次交易后都需要更新% [6 _9 D* g y Z6 r
credibility-all9 K5 d/ P$ K) _3 u9 ?& [) A
;;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
) d% X; ?, r+ g/ K1 i ?0 h" }8 b0 s2 x% f! w; ?6 L, D/ 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
: `! C& `1 x0 A7 q+ xcredibility-one8 n2 o! g ~. M
;;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; N% N3 k, ?+ }& B
global-proportion
' c V" A8 {! A2 e$ Xcustomer/ }: A" ~! {. c
customer-no
1 A. H+ x4 I: s) y: K9 gtrust-ok4 F8 p$ y' c/ a# V; v- Y& H
trade-record-one-len;;trade-record-one的长度+ T! E- C% s1 J H
]& B. X% W# n. E1 ^+ v2 p, y$ C
' y7 ^5 t. A. B6 K
;;setup procedure, W W+ v- L* n6 H1 i" c6 f
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to setup/ M4 @+ S) L, J0 O+ R4 D* k' H8 O
4 q3 {8 L: u- A5 Gca2 k: y/ ?0 G4 v2 K0 ?( j3 G
& a5 ~* v9 y3 Z$ c3 Q. p; binitialize-settings' ]% v8 |: A: Z2 e9 n9 p
% q& h. f# _& }4 xcrt people [setup-turtles]
2 N s; |1 N; ?
3 _7 I3 @& K- k4 p) J( `+ G( l0 Ireset-timer
# V& x$ b1 s% E8 F% B: n' c
0 D' ^+ r6 E- X, wpoll-class' E* w& W, X/ A$ [& v; p" {
# u# x2 Z( e2 ]* q# p4 Z9 G3 S1 n# e
setup-plots& Y8 |& o9 Z! u, ^8 ^# _' R+ `
4 A" y2 R3 H- o$ S- G+ Q/ xdo-plots
8 Q8 R1 ^: D! d6 c, R4 V7 ]* m% [end
& Z, |0 _2 J% Z% R9 [2 V. A) `6 T6 s$ U N/ X
to initialize-settings4 L0 \. r2 q8 d5 x- [7 R6 H
. v3 }( Y$ e+ s; c
set global-reputation-list []
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& y$ l8 d, u; u' kset credibility-list n-values people [0.5]
+ m6 A2 s1 A4 E9 Z! B! r! Z' f. h2 o# K3 z
set honest-service 03 P( c% Z1 x4 ^* ~& B- F
: C$ Q2 Q! n+ l. V- x) _. d/ C
set unhonest-service 0
/ j1 {' P! ?. o8 l: e4 ^5 b/ a" A/ j) I1 S: r4 Z0 [& C9 W) v
set oscillation 0
" U/ h% A$ [# L* u# D, g7 n, v T: c0 Y8 i* D: B2 ?) W
set rand-dynamic 0
5 R4 ? R) }% Y& lend
7 L0 z1 \9 X& N8 |$ S ^8 R0 L8 E& p( D8 E. N) k
to setup-turtles
4 f* z, w3 n8 Pset shape "person"0 y5 e" Y/ r! H0 z
setxy random-xcor random-ycor, q5 g Y0 i M) A
set trade-record-one []
: R! \" i/ z# P* z- o
) z. C, @7 j: D% B5 T0 X+ K; P( k4 jset trade-record-all n-values people [(list (? + 1) 0 0)] . E& B( D3 s9 |- Y4 Z$ X( f
& M# z$ ?' I5 L* }
set trade-record-current []0 t% M0 g# p7 w G
set credibility-receive []
' c9 C) F3 \1 {set local-reputation 0.5
( `" D+ k! w( H. C$ D- y! Iset neighbor-total 0" K0 _: F% {5 P# p0 c9 G
set trade-times-total 0
/ z. d/ y K$ {0 t2 e% J9 u6 xset trade-money-total 0
! ~4 ]3 f9 [+ \/ Z% sset customer nobody
3 m' M" p$ y: f& E& tset credibility-all n-values people [creat-credibility]" H% e6 L7 [+ C$ x
set credibility n-values people [-1]
5 ~: `$ A, W+ F' y. X/ s: Vget-color
1 \. t8 K2 s! h) o- C+ K+ z3 k2 A4 `- \
end& Z( |5 W S3 W S: I+ m- j
% M6 j0 u9 ] M b; ]5 B
to-report creat-credibility- h" M1 L5 X- [9 o* k& m! E
report n-values people [0.5]
6 V! r- c% R* |# I- q) j- \end, Y1 W0 }6 ~. f4 ?; C
% z/ [6 n) e% j. j$ N) F# I: a, h
to setup-plots
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9 B! Y, y1 i# S1 G- M3 t0 ?( Zset xmax 30 S2 Q6 m8 ~3 V
8 s Q! ?* }; O# @6 h: R
set ymax 1.0( \; w9 [% P' D+ x+ X. h
, d6 M& n; Y0 W5 `
clear-all-plots; C0 J; u$ p, h$ c% r6 n
$ x) {- R4 a, s+ D6 ^" c$ c
setup-plot1* b* {! M$ Y$ ?$ [ x/ y& R
- p# B, B: @. x8 k, ]
setup-plot2/ e' p( e* o* p; `
/ e) b$ B9 x0 b Z/ Asetup-plot3
8 h- u( q0 F2 }$ P# Y& B- lend
9 I! ~* C3 U% C$ L6 w5 V) _+ L# m4 H0 K& p" m/ J2 V/ ^
;;run time procedures) f) D5 |( b8 W9 A$ h3 A2 H- h6 d
4 `$ q* j0 Y0 _" \9 y6 {to go
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& c9 m. g7 U; j. xask turtles [do-business]' r1 B0 \% M1 N
end4 r% Y( ?; w9 b7 t- a G* P! H \
, M" r8 n Z0 V3 {5 Y) i( rto do-business
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: |8 t( P, \( I4 O8 A6 D) A+ i: q
rt random 360' J7 w. G9 W6 N6 [1 y, U( |
) B7 o! Y4 p, R4 x2 S1 Y" m& l+ {fd 14 @( T/ q0 _% ]; `3 _; M
( D# o5 o9 w; ~/ wifelse(other turtles-here != nobody)[' ~0 ~6 Q: E* ]- G' s
% q, ^3 f4 X C" x: g
set customer one-of other turtles-here
, o6 o) m- Z& O5 p
7 R. _9 R2 w( X) C1 U;; set [customer] of customer myself, P/ k, B- @) `1 I% ?9 q
- K0 k8 v# {. {2 C, }set [trade-record-one] of self item (([who] of customer) - 1)
! u; Q8 l4 c8 R9 D9 A1 C[trade-record-all]of self
2 J2 A' L7 Z. q;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self3 o& X( M2 S) v# M2 O
* V! _$ l$ _! T. l- ]2 L$ Y' eset [trade-record-one] of customer item (([who] of self) - 1)7 }# ^8 n$ h) g/ W W7 e) _/ D: F4 D9 \
[trade-record-all]of customer
: v9 K r3 X1 o; z) H4 p: Y( u2 Z2 s
set [trade-record-one-len] of self length [trade-record-one] of self
' ^4 @9 a7 v" ^0 L
6 Q& g) }; g" X1 i& uset trade-record-current( list (timer) (random money-upper-limit))8 z! m% o2 Y9 e- p( u$ A z
0 N( q. o1 D% ]/ q
ask self [do-trust]( F# }9 y+ z# A1 R& v2 B
;;先求i对j的信任度 f6 }: x N" i. Z5 Q
?9 `; H9 [; G
if ([trust-ok] of self)4 D: N% b/ @& D3 [ B- U
;;根据i对j的信任度来决定是否与j进行交易[, ^9 C1 A/ V. Q+ O$ A. N/ ~
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself1 N+ H/ R, M- q$ J
0 {6 b G* V6 E9 J% [9 I$ Z2 O[4 q* K6 ~$ l; S6 C3 a! H4 j
+ C( t+ y* |8 d' b) Ddo-trade4 s( S$ z+ y6 U
6 `4 f) ] I) [" Aupdate-credibility-ijl" P0 p9 z) J- d p2 K3 `
; i; e# l& y4 B6 R
update-credibility-list
* I# D+ T/ B/ Q0 k- S y; B" b
' i5 k) ]. H+ i$ }
; K$ o# d s2 T! D C/ Tupdate-global-reputation-list) _% [' m6 }3 M9 f5 R
. V4 g% F! X1 B3 W _poll-class
9 g& l% t- U* b( x; P& }& P: F/ Q2 j" y8 c, G7 R
get-color$ X2 A& l( x; u5 P% t
& _, |$ ~" o- I, l+ D1 b1 h]]
8 J D8 h: H& x, Y: U# I% e8 C+ b0 O. W" `. b+ Q n8 p. z- V2 X
;;如果所得的信任度满足条件,则进行交易
2 A) S3 y" ]4 |4 r( t
8 B1 C. P' V% _+ c. |" V5 Y[8 q$ [- R; D& e
) w$ }9 u, @3 g" J
rt random 360
( j6 D, ^( h2 ~% C( f
1 A, @1 z$ [" C6 P9 G0 q' @& Jfd 1
: G7 m" e+ F6 L! Y) H7 |# }
j$ ]/ _3 o5 D q]
8 C" S; x( a, M2 l1 z2 r8 S `' K+ Y9 a
end
5 C# h' x0 m& V. c' D$ t
2 V. J9 \' T+ N; o# n8 y; p! F3 C$ Rto do-trust 2 Y- i3 `+ o' X9 M
set trust-ok False# l+ f# K" l7 P$ Z
8 [4 {, n, g0 v9 ]4 r
# C8 u# s* w7 K8 wlet max-trade-times 08 q! }7 }1 |' H' ^# Z
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
) q$ i; M" r7 h/ A8 M6 U$ s0 N8 llet max-trade-money 06 S1 w2 O& }$ `+ L7 H
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] [) a! w3 H5 r5 ^
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
r. t$ b7 t; o7 \2 a, A {" z
: c) z- Y ?( r) i T+ i+ |2 F7 n1 u W) r: H4 X) k
get-global-proportion8 d! j( b: r8 ]+ G- F$ `5 a
let trust-value
. y O8 }+ r2 tlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
* U- S: O! F K( L$ b L/ Pif(trust-value > trade-trust-value)- R! Y; Y+ y+ ~# J3 |
[set trust-ok true]
1 S) ^+ P1 s3 J8 D: |- u) K p5 Uend! v9 {. C+ F, ^! H# \
; o$ @9 B1 v L2 N2 hto get-global-proportion; x' ~$ \2 t3 j/ l! b" ?0 S
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)0 y; d. U* i1 V2 r- v. s q
[set global-proportion 0]& w0 M( d& }7 B0 L) d5 R" P
[let i 0
1 d! Q; h# V/ f# q4 z% I3 W( d1 Ylet sum-money 00 A7 e) G3 c4 T4 ~' U
while[ i < people]( e) q$ ]( R6 \1 P. Z# @" t$ z* M; x
[& U+ ?" l# Q [& A6 t8 M* F
if( length (item i. N0 `: w+ m) L- A, E" a
[trade-record-all] of customer) > 3 )
$ i$ l/ W9 @8 x" `; E1 M[; e# K9 W# {8 ?2 W
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))4 y9 U' b7 a3 Y" J
]
% h4 _% a( a3 N n9 m+ w]
: i' D# a0 d) K K* d/ k3 y- Hlet j 0
$ B0 w% @' [* f# L. C. |- _8 Ylet note 0
X" f7 t. i, J( u' r# n" awhile[ j < people]- F& e- e: n# h% r
[
( f9 K0 L3 `# t. k* Y _if( length (item i$ Y2 x# e/ }; m- I/ Z& c# [
[trade-record-all] of customer) > 3 )
! ~- {+ ~0 J5 k* o+ P: [[) l4 ~* d( h: p+ {6 ~2 r
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1): k" d0 X4 g5 D8 F
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: A! N7 g: m4 y/ y; O; z' X[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]# J- T$ }( i1 R# W
]" L. K- F" K8 |7 W* [! g5 {2 B
]
! t7 o; } n8 aset global-proportion note
' D2 X+ j6 Q" X! A0 d% k+ F]
' V, P8 G' Q, j" hend1 [4 q/ I! N% K
% F. t6 i% _9 K0 F: n
to do-trade2 q% t& z0 l7 u8 G7 s; E! D" x
;;这个过程实际上是给双方作出评价的过程
4 A/ n- s$ F$ \1 P! h" m; j! p" Fset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价% x8 `; P; q0 @
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
- n! @3 ?9 }( L& w6 Pset trade-record-current lput(timer) trade-record-current
& G+ {( r4 w6 a1 _) g;;评价时间: Y: a% e2 k1 p+ w J) h/ G7 z
ask myself [
, b7 j9 z; k) f1 Q8 O# Fupdate-local-reputation+ E( ^ P0 k; [+ i8 Y
set trade-record-current lput([local-reputation] of myself) trade-record-current6 W ?. F# q1 i' [, K
]
; u, K2 ?; H* \& Fset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
' }! U# F: N9 ~+ U! x# z6 D3 M;;将此次交易的记录加入到trade-record-one中# r: S3 ~: U% i, T- v% r
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself), D9 _1 i7 i: R. X
let note (item 2 trade-record-current )
8 o0 S+ U) I" Lset trade-record-current
8 L& b' R* G& Z! |: R% e0 ^, w(replace-item 2 trade-record-current (item 3 trade-record-current))
" f7 ^! ^9 ^; N' d* d" Sset trade-record-current
* |5 u4 ?, x2 m* o0 O7 s! F7 @: F(replace-item 3 trade-record-current note)
, C7 ~ \) O! q, o$ r v. I0 d9 g5 ^
% n# O% P7 k8 t% ~0 j. x
ask customer [
$ m+ v( Q1 P1 ]2 Q2 {4 a. E. {update-local-reputation K9 K3 Z6 {6 S1 s: x/ r( x
set trade-record-current
& U* v$ G+ b! v1 R& m5 c(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
8 i8 `; i, N) ^6 {- W]$ C6 N+ S7 Q+ Z) U
, x; P: e! B7 K% n- ~: I+ R) q
' ^- k" p) w' c$ x/ T. Pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer/ t0 j; q, M0 j/ |: p# D
2 [3 j* d# _) L* e6 s* l9 C; yset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)). }6 M: D, {: L* Q
;;将此次交易的记录加入到customer的trade-record-all中
. U, r3 l0 M0 k& Vend
, `7 s" Z; M: W9 v
* t+ ^3 X. Z! c2 |0 Y! Q8 q( tto update-local-reputation' `: `) W$ g2 K5 F7 @6 K
set [trade-record-one-len] of myself length [trade-record-one] of myself
0 I1 ?6 ?' D: o7 N1 A
$ t- r" N2 G3 R9 O( Z# B& o% I! x6 a5 C
;;if [trade-record-one-len] of myself > 3
# Q$ U/ u) b2 dupdate-neighbor-total/ R' p0 b, ?0 S' _, l
;;更新邻居节点的数目,在此进行
5 F5 F' I& p8 p; K5 `9 ^let i 3- Z$ A2 N D# A5 M" k
let sum-time 0
& S; c I: K' a9 gwhile[i < [trade-record-one-len] of myself]
5 K, ?% m& }( |1 S/ m! e[# Z7 a2 W; p$ Y4 |1 K& k, x
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
0 L/ R% I5 y F' L0 A2 sset i/ u; _: y* d4 @ w4 A" _
( i + 1)
9 m. I; b0 B% o& j# j' m9 R8 L" r]
2 j8 G8 G8 |0 X7 f8 G; F! q6 D$ alet j 3+ i* {) W0 |, P2 L& H. E* g0 l
let sum-money 0* J1 n7 U1 W. n" j
while[j < [trade-record-one-len] of myself]9 x% J1 w+ U0 @; E
[
1 k% z) b8 [- {! V4 y Eset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)9 \8 ], }$ u' d. v8 G( i2 ~
set j
( |! m' R; q6 i5 [1 Y( }0 p( j + 1)! \! X# z: S9 r5 P
]6 m8 ?# _7 C1 [1 @1 c5 B2 s2 y9 U& P
let k 3+ W" Y ]) h5 g
let power 0
9 b/ g; h- `! L0 S1 p) b% w$ X+ elet local 0
# g2 R6 c' Z8 K) lwhile [k <[trade-record-one-len] of myself]
+ K# b/ K$ S2 y0 s8 @8 c[0 j( ]: i7 l* @1 n
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)
& i4 A1 D6 D+ N' ^ wset k (k + 1) G' [ u$ ~: n/ Z1 }3 ~' F
]
9 h( v7 ?2 K% E! y# Nset [local-reputation] of myself (local)
& m u# z( e* Y# e; V4 ^& u, gend4 t2 A7 X; ?$ F' k
. t5 s7 s- Y9 }+ f) i# P$ Oto update-neighbor-total
- \4 e" {2 E h8 V6 V/ x( R
5 \! ]; F& E Y' J* j# |! Iif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
& l% r4 T/ I- R+ Z
1 `8 S( r2 \5 M2 |2 D% A3 E+ l9 Y3 T3 @, P
end4 u, U4 }6 e( z. w
8 T4 A7 N3 g, w5 {
to update-credibility-ijl
/ _6 S1 d. g* |: H8 w+ c+ E V9 ]( S' j+ s, p/ [: m. a; {) H
;;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。. ~% _ V0 z0 H/ ?- v
let l 0
/ X# b! v+ x2 j% {while[ l < people ]% ]2 C. I8 ?) {+ \/ A% X4 @" x
;;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 D* V B3 V w/ q$ p( zif (trade-record-one-j-l-len > 3)' [! O/ z% a5 W9 k& }# |
[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
) b4 P/ F6 M" d: y$ R/ L! ~let i 3# ~1 W2 w8 m5 J# B+ l
let sum-time 0
: i" K+ |% J+ J6 z, Wwhile[i < trade-record-one-len]
3 K7 q) _, I0 T$ Z[3 Y; ]: F5 q3 w, |: n
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
2 s6 L) q6 R u( S( B/ [, E( A; u/ yset i
0 i' J' B9 a% q1 r C( a( i + 1) m; b2 Y9 H: \) T( `
]3 V5 o8 l2 i/ a$ _
let credibility-i-j-l 0
- a" z6 ]$ R' ~;;i评价(j对jl的评价)) x8 P: s" z1 i+ p' x* i$ z8 G
let j 33 E ?/ D3 t- w
let k 46 Z9 {$ n a8 ?
while[j < trade-record-one-len]( w' H3 S2 ^$ d! Y5 H
[0 L! r( k& c+ c. H; l9 y
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
7 @# `2 k& l4 l% K* X7 Y+ Tset 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): }/ R4 S) I9 _) c9 `4 K7 B. ~) E
set j
7 z8 U" Z& [+ W" p1 X( j + 1): c, D* P1 I- W% E
]( p% M$ G( o2 H* g/ P) W
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 ))
& j- R* D$ t/ U) c) P6 j; }" C X8 t
5 z( W- X* e" [% F8 Y- `' h9 dlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
. d: x- l( z- L' ]$ E6 |' ^;;及时更新i对l的评价质量的评价& H2 ^5 @+ \5 @" V6 d# ^
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]9 Y9 r% g& P' p
set l (l + 1): M S/ y9 j) P3 W6 Y+ O
]
+ M8 N% A& F6 Z: Send" [. x' D4 h8 _ z+ f8 k* l
- \, i+ J8 m, F$ Y, ~( R
to update-credibility-list
$ u; a0 g; g6 T, R5 @0 Qlet i 0
1 N6 {# j3 j6 Wwhile[i < people]6 I6 h' ~, y: o8 C! |% i
[+ ^+ W/ R6 O' ?1 \ | H# Q
let j 0: W% |! _$ z7 T. F& U. m
let note 0
9 |: x# J: n$ _, l0 zlet k 0! U+ v; k/ w, t. C
;;计作出过评价的邻居节点的数目
3 m. ?8 Q3 z C$ P( E$ A! swhile[j < people]/ Y6 x1 G+ s) I
[# I. n; l/ U1 p* o6 |
if (item j( [credibility] of turtle (i + 1)) != -1)
9 B( ]" L0 o/ T4 b;;判断是否给本turtle的评价质量做出过评价的节点
; c; H3 V$ h+ S c" M[set note (note + item j ([credibility]of turtle (i + 1)))
1 ^. M. E2 N* K! s2 x5 M; J;;*(exp (-(people - 2)))/(people - 2))]: o1 C7 l- `4 u1 ~+ i' Q4 r7 j
set k (k + 1)8 t! w& d' A+ l/ \7 z
]0 ]" r1 o# W) p# h' ~
set j (j + 1)6 \; J; \4 R: H8 A; M y
]
3 x$ F5 y2 j1 f- pset note (note *(exp (- (1 / k)))/ k)
1 [6 a3 C4 [* a6 qset credibility-list (replace-item i credibility-list note)
, T# k! t+ O3 [2 {# D: y2 aset i (i + 1)6 z8 | N8 i0 J$ N7 C p- f
]3 W1 B' h5 z& q
end
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; m9 A7 o; b" l9 yto update-global-reputation-list" |2 J% `4 g; C: J1 l E9 p6 N, |
let j 06 ^' \ K7 O2 y: \# d8 |, O
while[j < people]& N& L- [/ V( v
[
( N! ^, c& I& m8 f4 llet new 04 O4 p! n' s+ r1 b! |
;;暂存新的一个全局声誉
2 I2 Y% M" n, [7 dlet i 0" i* o5 Z6 Z# t8 S# _
let sum-money 05 _2 r3 A% ?4 D! i' n% Q
let credibility-money 0
& v; n5 h8 a5 i+ h: Rwhile [i < people]
( t- O$ n: h( P' y- U# l9 ?& e[
4 w+ ~% \0 g/ z( Y9 Z) Wset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))! c/ a( [# _! a/ S* j2 [
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
0 v/ K4 ~# r$ D z: J4 bset i (i + 1)- e3 c, y& q, w$ h4 k2 R1 d
]
( q) W+ y p k( L9 i7 u, B. r# e% klet k 0! y7 s( q# d# p" |; o( L
let new1 0
) j% x. D3 N* m* z4 \while [k < people]1 T" g1 X* S! d
[6 d0 G$ y y$ l- }! ~$ I' Y
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)
7 \6 H1 N$ J/ i6 Cset k (k + 1)2 ^8 P0 ~- ^2 J( ~6 _! k q
]
; t8 R; O: E3 F9 M9 x! [6 u+ E; zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
$ t, x! k. l6 A& {+ Rset global-reputation-list (replace-item j global-reputation-list new)4 y+ R F' M" t, I8 B. `
set j (j + 1)' G/ h; b7 _+ O! l' Z: L- h! ^: ~
]. f3 J: J2 U4 {* E2 i# b
end: o; @; u( c1 ?
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/ L4 @1 b- z- f) @% D
" e" U9 Y/ k% s- C4 K7 | tto get-color1 j6 p8 f% @6 o0 m/ M
) K2 A8 b9 K4 q, d3 gset color blue& \' }. C1 W$ x$ k, s
end
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to poll-class
) m$ V! Z8 y0 X7 w( _end
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, {8 j8 l! J/ q6 wto setup-plot1
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* M; O8 j# F, l! o5 t2 |# y1 \' I4 \. L0 mset-current-plot "Trends-of-Local-reputation"# k6 K6 @, g/ `- ]/ Y2 t$ q
+ m/ Z+ Y+ M- T3 V( Mset-plot-x-range 0 xmax
* s- `! Q: D' N
) s6 H0 ^; I8 |3 d" _; kset-plot-y-range 0.0 ymax7 k2 c; {! h$ A4 T
end
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to setup-plot2: f. J# S. n$ |7 S: \- z2 o
3 u4 {# U+ ]1 `. `
set-current-plot "Trends-of-global-reputation"4 ]% v7 |( T- O, O& }4 I/ N, N
: o3 {1 B$ f. C' a/ H
set-plot-x-range 0 xmax6 E6 s; L8 `- V; N2 |% `
/ E/ S; a G: I4 m6 L& N9 d
set-plot-y-range 0.0 ymax) h6 C7 L' ]2 S; J/ [
end
3 d2 d, Q/ |6 H6 b" T9 Y; Q# L& H; W1 u4 L. a" G. u, w" X j8 h
to setup-plot3, G, |8 z; I% D# u7 X1 B8 K4 v ~
8 b/ k- X" V3 I5 K- N Aset-current-plot "Trends-of-credibility"' J* K. r4 n' V' H8 a2 g
* J* o, G, m5 I- ~set-plot-x-range 0 xmax
* v5 ~1 W% x. ^/ `: {8 ^
1 \; W7 n# {4 `. Dset-plot-y-range 0.0 ymax
. F1 m$ D+ L3 ?0 r0 Q6 [( Iend
* r% F% Y }# Q& M6 P0 m( p1 @2 [( k; g2 K3 V
to do-plots
( F! X3 E8 v0 M2 {+ V/ Kset-current-plot "Trends-of-Local-reputation"
! N( c8 E( b" d2 i# Y: T4 Fset-current-plot-pen "Honest service"
0 T( t! s' `6 v0 B+ \9 Tend
) Y& l/ O7 `6 ?* T1 Y5 u7 j
C6 \! r5 Y! y; s[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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