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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 Q3 z0 l) b. g0 gglobals[" [# ^! j8 w) N! [% h
xmax
5 v; D9 A6 w/ h! g, h! w/ \; z& aymax! `9 k' s. B; s
global-reputation-list
" z# D* f1 p$ `$ a) [; z
9 u" ?7 Z! p b) S' L s3 Z8 E;;每一个turtle的全局声誉都存在此LIST中; D6 K G2 o" X- M2 Z! c
credibility-list6 F2 F; H, [! {7 w6 Y# X
;;每一个turtle的评价可信度3 D& W) R9 k# z+ q' Q6 A$ K4 k
honest-service6 U6 s4 T3 C# u: E0 c* b" q/ J
unhonest-service
: I7 J# Q% n- @% @oscillation
) ^, A! W: ~3 U6 g4 ~ Brand-dynamic
* `* N" m# p: @( P4 b]- c" f/ t* X! w6 \
n/ E4 I' P: R4 k8 ~2 `turtles-own[, V' T7 S# M5 S
trade-record-all* p" i6 @5 r6 T/ w2 m1 ^; O% n9 j
;;a list of lists,由trade-record-one组成
& ?- T$ z% y+ ~trade-record-one
; `* A3 ], Q; O# N2 u! A;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录2 Q3 i4 d+ P$ N# Z
# i" }9 l8 I( ^( M8 R0 M;;[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]]
3 Y+ K% q8 B% p3 [3 L8 ]) ctrade-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]- ?7 z6 o" x4 ?) m; u1 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% R' U# ]* w# A1 J2 N' h
neighbor-total. C% i4 F2 h+ k: B
;;记录该turtle的邻居节点的数目
3 N- c9 B% j" T% `$ e& Ktrade-time% W# [% f' t4 s/ `9 N* p' _0 F
;;当前发生交易的turtle的交易时间
% l- ]6 T& C* F$ w" Tappraise-give
9 z S* p* N. |% ?- U+ N5 O;;当前发生交易时给出的评价" s2 x: R, _6 P, ?5 G9 d5 w
appraise-receive1 w( t1 p% S6 T7 l, M6 Z) Y0 Z
;;当前发生交易时收到的评价; Q5 t9 M# p: e
appraise-time! `& y* j+ c. \
;;当前发生交易时的评价时间
7 X) c% G; ? h( F- w" f' Elocal-reputation-now;;此次交易后相对于对方turtle的局部声誉4 u% N% H0 q3 y8 T$ R
trade-times-total. V4 H4 G D0 Q) {+ ]( |
;;与当前turtle的交易总次数
; T3 N A% t+ U7 i, } }# L4 h, ^trade-money-total! n0 u) u% i# Q7 t9 Y0 N/ V
;;与当前turtle的交易总金额0 ^' q3 [$ M) x' ^
local-reputation
! S, h. U* C9 { X) w kglobal-reputation
, Y: R2 O9 q O1 t6 Xcredibility
0 ?# R4 r% c D4 s;;评价可信度,每次交易后都需要更新- I$ L, t* ^+ [6 M
credibility-all
) I; P5 M4 ]) b8 e8 ?;;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
- O. Z' J1 F5 }, i; @0 v/ W! G1 M# S( X$ r# C
;;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% w# M: J( g" p1 P; H
credibility-one
3 H! Q+ B0 j! y* O" O& w+ Y6 n;;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
3 p% L, v. Q' m; nglobal-proportion. i) Y# f T) q& I' z& m% @
customer* x' x$ I2 s, X/ a# _ v
customer-no9 F4 c9 M3 L! U, G
trust-ok2 k. V q a: q& X h1 [; Z5 u
trade-record-one-len;;trade-record-one的长度; u- L w1 q: t) r |/ [$ Z$ G! L4 }
]! n1 c% t) v n) I, _- ^
* d6 G4 K3 m/ W2 ]" V# S$ D" T7 J
;;setup procedure
* C( u# `- K6 B0 B' G: B( @8 `" t; A: I
to setup
% l: x3 I3 y3 t# [; [; q( y/ \8 v0 z- R
ca5 X( @; ^ H, V: a
5 e, ~7 |1 l' O
initialize-settings6 Z" |( Z$ f5 D% V) r/ T
" J5 q7 n% f+ R! l
crt people [setup-turtles]) Q0 n; H! |0 O; e3 f2 I& S: l% r- {' P9 ^
?* |) P: l& ]' j( t: ~, o8 treset-timer
& M0 b6 X" S& G/ A" r6 r0 G0 W6 J u# J
poll-class
2 I" `( g( B/ n. ]. Y! y/ M2 g+ r1 w1 \2 Y' p; Z( T/ \% \
setup-plots7 s; Z, |; ?/ c ~( y3 x# j1 ~+ K) @
& N) j, N; W8 n" udo-plots: }0 L' o' q. p% L
end
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to initialize-settings
0 Y3 k; x0 K% f' h. ^
# U& r8 f, }" G: E" U4 W# eset global-reputation-list []6 ?) l$ ~1 @8 L+ O, C' C
7 V4 T$ j9 ~+ E2 w
set credibility-list n-values people [0.5]" ?# P J( ^* H; |: X& _
4 r0 I- q: @- d6 Y7 c
set honest-service 0
6 w; n2 G6 V; A" ^* R9 }5 h P0 d7 o. `5 E+ q
set unhonest-service 0+ M$ \0 g# C) Q1 u
5 o2 x y) }8 Y- r/ Aset oscillation 01 r/ o6 J3 f$ M5 S/ f* x
' d1 v5 i0 Z7 d7 [2 Y, oset rand-dynamic 0
. \% b5 ^( Q1 ]1 qend7 k! s) [: n: N" v
& ?, P9 \/ O/ a0 [
to setup-turtles ) d/ n" w' ]& f2 n0 k, p# }
set shape "person"* W/ M6 i3 k g0 E+ ~% b
setxy random-xcor random-ycor
v+ Z6 B% K, u! kset trade-record-one []
2 a% _- s9 }$ g; E6 ^+ B2 o$ c3 N0 i4 j- o$ H4 Y3 N" Q
set trade-record-all n-values people [(list (? + 1) 0 0)] % F8 T6 K9 F2 Y% D, {4 k5 D1 d6 w2 U
% ?: B+ E+ W9 t: B2 o7 S
set trade-record-current []
2 z, U) r( [4 cset credibility-receive []4 x! c- \7 f& ^
set local-reputation 0.5: k! Z6 a; d- l9 M2 M @7 E
set neighbor-total 0; {; y1 V; F% g/ l. R5 t' c) ~2 O
set trade-times-total 05 z/ }, V0 g6 R
set trade-money-total 0
% B: @$ O/ x8 m" O) Q7 j7 B3 Tset customer nobody. X0 C/ H% H% N9 R3 [7 B
set credibility-all n-values people [creat-credibility]
. Q7 e% _, J7 _. \( k. W: Xset credibility n-values people [-1]- r X' `8 `, X4 h
get-color
2 I3 `$ x7 f' ?. d$ U c( N' |1 t8 H7 N5 @9 F6 e; ?
end
* M* I/ S$ B( H, x+ p/ s' ^5 T9 l
6 q" w o8 X: P2 o. L7 o hto-report creat-credibility& o4 G( P9 b$ L2 V0 C
report n-values people [0.5]0 D0 T' Y* t. b( I
end
1 B( }# \" m' G6 T
@3 Q1 O8 g/ X. qto setup-plots2 \9 C( ]9 i8 o0 R' M
0 F9 e+ j% b: W5 v/ F+ r, ?2 Z
set xmax 301 N2 @4 i8 f1 ?$ o
1 k) }& N2 V, Y, |! n: \set ymax 1.0
. M$ ^7 I& [3 L5 W0 E: n7 W' V0 j4 J2 B$ d7 b& s
clear-all-plots# v# i4 T) Q1 F# K6 t! g( B
% L; s1 k* J3 y( K+ u( a# Y+ X9 Q
setup-plot1
5 L. |( t; A8 F: T w- S" h7 l
7 I3 y8 T6 g) X! |setup-plot23 L- p/ B. S0 {2 Q7 A) J; d( @3 O
& m7 l$ U' j7 B6 S: ]setup-plot34 E8 {4 |$ L( P' h/ J( R
end; f9 |6 e* u" N9 T. f& z
, [5 g; d2 a4 K;;run time procedures" c7 j; J; V, q& s3 J# U! P' I% g, n
8 R- N7 L" I) u3 b, E4 [7 H; \* Ito go' J4 v& I1 X; B
& Q, j* W* n7 s5 a1 f
ask turtles [do-business]6 X4 v: D: {7 H2 p( L" e
end/ g* H) r8 D2 Q. g+ t! s: v7 n+ w) W
T2 A$ a0 q gto do-business 6 Y4 a3 _( c( }. P8 Z% `% B; s
) k% K: t& ~) `+ T) H |% o- A
) d( x p4 g' E" R( L
rt random 360
" p* A* E! h) E) F
' O1 ~3 @0 I7 l" w$ X9 Zfd 1
4 [1 g" | B: \3 r6 v3 n8 J$ t' H' P2 v$ ~- n
ifelse(other turtles-here != nobody)[0 j' s8 U& F7 Y4 t' j) X" P& T
4 ]& D0 `, w w, Q1 m4 rset customer one-of other turtles-here
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;; set [customer] of customer myself
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$ _9 a/ w1 r: c; s0 B/ D# Fset [trade-record-one] of self item (([who] of customer) - 1)% L) E) a1 J6 s
[trade-record-all]of self
' _6 \) g& _# _5 Z4 B. Y. Q0 ];;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self4 g3 `9 [) a% P# }8 w) ?2 l+ p7 t
+ s0 G/ x% J' o* e" Aset [trade-record-one] of customer item (([who] of self) - 1)% N$ [4 u, p) ^: d
[trade-record-all]of customer1 f5 A" `1 {- ?& Z. n( G! B
7 E' E' |8 R8 y. K2 E1 u& c
set [trade-record-one-len] of self length [trade-record-one] of self" p- a( B" ~/ }5 M1 z1 R
# B- o6 K( M) S1 Q& Qset trade-record-current( list (timer) (random money-upper-limit)); g3 n, V/ \$ s$ ?+ z& x
6 p7 R9 L/ T4 K- i4 U0 i! Qask self [do-trust]
2 ~) {) G1 g0 };;先求i对j的信任度# o6 ]" I0 R; F/ U
6 s% j: V: z$ j3 [! n5 n
if ([trust-ok] of self)4 j6 B9 I7 A$ K
;;根据i对j的信任度来决定是否与j进行交易[! Z4 p1 x$ P" `6 P- `3 E; X
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself4 G' h7 p# I: {+ ?0 r. b
* k5 U" r0 v/ S5 B' w. ]" |' L
[
; }2 T \- q6 Y/ [% g# x5 K O$ Z& ]) [$ z- v
do-trade
: o0 l% |6 u2 {- J! _9 ?3 t. Z9 Y
5 r2 U3 y' ^& M' P9 y( }update-credibility-ijl& }+ ~! m" t e9 U$ a1 D% ^$ s( j- \
5 O% D% F+ O% v% e eupdate-credibility-list
" w3 O j% E$ o3 B% P4 ?4 F4 O- j# P+ c9 b6 l3 Y- U5 c
9 A7 b4 x+ ^$ {! B, t6 Z/ B* U
update-global-reputation-list
1 B) i! |1 Y' @- S( X2 e: n
* |! e5 q( G* ~poll-class" u( u- r" T+ `1 u
! M X/ S+ l& g* ~. u$ z& Zget-color
) x9 l7 Q8 d2 T, ]/ b8 I5 Q+ I) l) e9 M
]]
a0 c8 p' e# B% r Z: O& }1 w
) ~; g( [2 P2 J6 A7 e+ P# j;;如果所得的信任度满足条件,则进行交易# c2 i- @) }+ X% g
' n }) \9 B4 ?) H _" a3 {& s
[+ h9 q/ X$ P/ U5 f+ f' L w3 Y+ b
% { Z; S0 d- _2 j: |$ C8 yrt random 360
% u( z! t/ c% f j! n1 |
; B T& Y1 @% ~. O# e% d7 W: `0 ?fd 1, g& }1 ^' j- ]/ C9 t7 ~. c
% A7 i4 j& S* h, u" ]. q! `8 r! D]
1 c9 l- S3 F! \: h- ?7 h5 _& W9 G' M6 R( O5 L3 @9 g' S
end
: K ^4 \5 K, R+ L' W1 g: Z
' L4 D4 q7 j) y" Y( s* Nto do-trust
4 s9 A& G: z' r( G' z {set trust-ok False
! r# @3 D& Y* v9 G6 O& ]; F- m* C! `( H9 Z5 V7 ?, u2 |
( X0 d9 M4 ]! g# J' qlet max-trade-times 0
4 h5 z& T+ x1 \foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]% }8 i' Y- S M8 l5 R# z
let max-trade-money 0/ H& r: R! r# o- E* ^/ \: f
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# j. } j. e1 T. u2 U, }; dlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
! I4 L4 G/ q/ ~5 I; U. j m
b1 U; ]! o; T; T1 U% I4 ~! P
+ q' K5 [& W: cget-global-proportion
' [3 K& V- Z+ S' O h3 X% P# \& `1 ^let trust-value
3 \; j! V- b9 c1 ?1 G& ulocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
8 @& o7 C$ E2 m i6 Z6 Fif(trust-value > trade-trust-value)
2 R7 X) U6 D0 I[set trust-ok true]
9 l; |' P) {9 b# [end
0 p7 }3 H, J# K5 {, q$ e: g/ k7 J6 {+ B4 u3 O7 p, Q2 `
to get-global-proportion5 t. v2 H. ]+ G) u% E! H' ]7 g
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
) @6 h6 y2 A# `* w6 W' E! D[set global-proportion 0]! v0 O* Z# L2 P( O6 g. E# c* a* E/ S/ G
[let i 0
2 c8 B/ F6 c7 Y7 Y7 ^1 ]9 o, ulet sum-money 0
. W6 H/ R! o1 s) U% s5 Hwhile[ i < people]
* I+ v4 Y3 d0 E$ a[
* K# l+ D8 P3 bif( length (item i
+ a7 D: E$ x( t, H[trade-record-all] of customer) > 3 )
+ c* q% s" V$ q5 |0 e' Y5 a. ~[, k F" D' e- Z" h/ R% V+ V7 [1 \7 X
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' t3 ~( k) s. v]( l- S1 T$ Q* X: ?
]
3 \- n- s/ o0 v! ~% C ulet j 0
7 E @$ r: {7 @5 hlet note 0- N- v q5 J9 x" V
while[ j < people]$ Z: l. N3 T$ |$ Y7 a1 Q8 P3 S
[
W9 o; b z' i9 c+ ^& k+ c! wif( length (item i8 j6 U5 X7 W& {
[trade-record-all] of customer) > 3 )1 U2 z' q2 `0 Z, t {, Y7 u! ?
[) `; I* k c0 ?# ?
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
( m8 v I3 w' t6 m7 @8 l[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]; v' t6 w( M8 M
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]1 }# A: L/ L# h. M9 {, f* o
]! U) {0 n) c% U9 d; B
]; Q' M6 G& H8 R- R
set global-proportion note8 T% |4 e+ k& o" g* j; X
]
, l. ^/ u/ X6 ]5 p# |end
5 U! E' P2 h8 W* s2 x- _0 @, c$ F8 I+ H: `0 S, Q4 `
to do-trade
4 m p a4 z! L;;这个过程实际上是给双方作出评价的过程7 N5 |" Y) O# z# m5 c
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
! {4 c: K" d" Z4 uset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价+ o, r* X' e( c: m: @0 `
set trade-record-current lput(timer) trade-record-current
. q, h5 {) p9 {* u;;评价时间3 y* ~6 J) }' z2 P& i
ask myself [' v9 e8 @( V( d
update-local-reputation
5 e8 c$ K ?' Q$ a3 E" P& y, _! y1 _* Tset trade-record-current lput([local-reputation] of myself) trade-record-current
* b* R0 L' s$ O4 l]4 ?1 t8 J- f& b3 ]& r- k% |2 e0 n1 Z% t
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
k) t% Z1 P. V' y* H& S;;将此次交易的记录加入到trade-record-one中
' A, H" E0 d2 t+ O5 u! B8 r {set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
+ |7 P% K/ ?) Q" ^; Nlet note (item 2 trade-record-current )* K3 [( L% j2 J3 Y! }5 D
set trade-record-current
0 n! J, c4 [) I8 p' k# V( f(replace-item 2 trade-record-current (item 3 trade-record-current))- g$ i0 G. a! i* K/ k7 B7 n
set trade-record-current0 N! [1 s& h) i4 ~0 g; v
(replace-item 3 trade-record-current note)
5 D. w2 v/ [- O, Z/ R: @
! T% J( v1 ^2 @0 j
' u8 b0 o* K6 f9 u) Hask customer [: \' w0 `( K- Q+ o* Y- O3 \" G, `5 `
update-local-reputation8 |7 R, s* H1 ^2 W6 q4 o
set trade-record-current
7 A! H& L, A' \3 G(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) , K* k% h7 i/ q1 R
]
# I8 c6 ^4 W: O& N `
; h+ \; E# ]# G' [1 \; Z5 u# l! s6 w' H5 C: k! x+ C7 W, p8 F' Y! s
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
$ r: \# z* b1 p6 O6 U C; G, x5 s7 t& ? K% ~' z
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))) E7 p% g. K$ b' A4 [! E+ U& [
;;将此次交易的记录加入到customer的trade-record-all中, O+ V% i( j! I# H# r7 [. j
end3 I( }! _+ s- j
4 \1 ?. G6 J ]& }3 g1 Ato update-local-reputation
( p/ C) Q! z- G9 {! V# oset [trade-record-one-len] of myself length [trade-record-one] of myself
; U% f& T: X; ~8 {3 G7 W3 z" l( J; c6 p2 u8 @% u, S
/ J4 h( g8 M( m# Q& @
;;if [trade-record-one-len] of myself > 3 $ P) K T6 B, s3 ~+ t. i
update-neighbor-total: S! W0 k0 {+ [
;;更新邻居节点的数目,在此进行; z h! M) K, ~+ @6 g
let i 3# C6 R" F) r U# g1 m* i; S% h
let sum-time 0+ ~! Q8 L* X% Z" G
while[i < [trade-record-one-len] of myself]7 t% \* Z" ~8 e4 E% B- G( ^/ w
[
. ~0 o. P1 f+ {/ k8 eset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
3 g1 j' w( G7 N+ q7 Kset i
$ g B& u. b: t( i + 1)% N+ r3 P& V/ y, l, d- q
]
: a- v( e: m, W" R* s+ dlet j 3: v; U7 O9 w! ~4 Q
let sum-money 0
8 y7 A1 x( m" v/ O) }/ ?while[j < [trade-record-one-len] of myself]
. O0 w& ^1 n: n7 J9 z[/ z% n4 a. [* e# a% W) G$ o U, Q( E
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)4 R" Z0 G# h* D
set j
3 _/ _; ~- B: r5 ~3 _( j + 1)
$ ]/ N3 B! P7 N M]% x, h5 {5 L* L ?
let k 3
: h0 B6 ~9 h1 V/ t/ [& A0 A1 K6 zlet power 0
; C, i: k# N0 S7 A$ n1 llet local 0
, Y( N |$ W4 V- \while [k <[trade-record-one-len] of myself]) }& \. n9 [( M' k" }
[( N0 S, G' M! ]- G4 X. o& \, t
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)
) _6 i" u+ D8 @; R8 m7 Kset k (k + 1)$ r ?0 `) y5 V1 ]2 s
]
( c7 `) U, N7 L+ c# s) Aset [local-reputation] of myself (local)
$ j1 h0 [" j% P5 K7 mend
+ }2 \3 P+ y4 D3 l3 ~5 y
& r! d3 w4 ]9 h" Y# j( Vto update-neighbor-total6 A! n6 {* _0 n
% S' P0 `5 B* wif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]+ w1 @) C' `7 |4 a. N
% C% B. T+ R {7 j* x" }# Y
5 |' R- [0 j5 z8 b, {: T
end+ T/ s. H; a5 @" [$ d1 K+ ?( \
+ S! j8 o. ]5 B( i/ e1 ~, R7 L
to update-credibility-ijl 3 l) r1 \. G, _9 L1 \
+ X: v, r3 Q: `% Q7 Z8 t
;;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。8 X7 q3 K5 {! t# N) C, x. ^
let l 0
" n# e" b, ?7 f) G* v, v9 iwhile[ l < people ]" o; w [& y2 }8 m+ 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
/ x5 y; j* |* b[
, x: U- o# ]2 { ~5 a% r. Xlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
1 m- r5 o/ C3 u; u, Jif (trade-record-one-j-l-len > 3)5 V* F c5 O& F$ O9 o7 v( |$ V
[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) g- M7 H% n9 F0 k1 a
let i 3! Z5 L/ B0 O1 J0 x6 q" v( w: V/ k
let sum-time 0+ e0 E2 L% F$ r" W2 }* l
while[i < trade-record-one-len]
' O) r) m+ l* f) {5 k[
, k6 d- E& ?% g' vset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ), w5 v' H4 T. E, @
set i
) J- |9 w% n( g2 v( i + 1)
' I: P2 G+ l( V6 E7 O) F, f]6 v. L: e' Z* S) }1 {
let credibility-i-j-l 06 Y7 S4 _1 d' T; t( C
;;i评价(j对jl的评价)
1 d& L2 A# K' w5 Nlet j 3
% s" j* Y; A3 X* p# t) Xlet k 4
' p3 J( ?3 r, Nwhile[j < trade-record-one-len]
2 O d2 b" V& A& i( I- _$ U+ w; X[
) [; V7 O$ e/ { O$ } bwhile [((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
( k7 S1 K8 w! K0 H1 d- @% v5 ~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)
: ^7 Z! M- Z7 E4 m! ^1 Eset j
0 [7 z( N3 P' P' F( j + 1)# h' {9 e- i2 R" d* b& m. ~
]3 n( H9 J# c2 s" |! ]7 K
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 ))
6 K: a; [' y3 {
/ x$ e5 Q- [* Q$ g% U' v# ^
% c5 T& H5 t- n& [7 E( ]7 R6 Llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
[1 ^! w u, ]8 O;;及时更新i对l的评价质量的评价" Q$ l* E0 x' D" {! x5 s
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]$ X8 L" c+ b% M) _1 C) Z3 V
set l (l + 1)6 b3 z+ `2 a q4 }9 D' T9 ]
]
, L( H" w0 k0 n1 \$ Mend
8 @8 b ~1 A4 v# z; y: R/ G5 i$ t% Z
to update-credibility-list6 L! |# V$ h" B. p
let i 0
/ s3 \7 h9 J. qwhile[i < people]+ Z- P: g% P0 v
[& E: l1 F+ U& D3 i6 D: [
let j 0
* u* S% ^; R" d4 L# j( e$ q! slet note 0% T- ~* Y, ?% a$ Q6 A1 S" O8 h. Y
let k 0
) W3 d; f( \9 z/ j" ~;;计作出过评价的邻居节点的数目9 d7 B; g" t9 l+ |: R
while[j < people]0 k- v. t5 l4 t. b
[
w- z0 h3 k0 p! i& {3 f; Gif (item j( [credibility] of turtle (i + 1)) != -1)
- Z. D* B0 w3 F2 }. k;;判断是否给本turtle的评价质量做出过评价的节点7 k+ ?7 g3 j4 P) ?
[set note (note + item j ([credibility]of turtle (i + 1)))
+ j7 [9 i0 q" [;;*(exp (-(people - 2)))/(people - 2))]
( |; e6 Y' v* [set k (k + 1)
; ~ Y) i* }' c, O]
/ P. J0 W! F: Z4 c. Lset j (j + 1)
* z+ @7 W: e) ]% U# t6 P7 {]
) E0 _- [6 f* E7 K6 F9 Pset note (note *(exp (- (1 / k)))/ k)
C' B; n# |7 X% i, gset credibility-list (replace-item i credibility-list note)
* P0 ^# z0 f% d3 `+ f/ Q- f* uset i (i + 1)' V9 [1 W$ r. |+ O9 e* ?4 }4 h% O* }
]) Q4 Z# T8 q. d( S
end2 r# U$ ~' q* F. A" S6 b+ o+ ?; A8 Z
" q. j2 o3 q/ R$ m* m* q
to update-global-reputation-list2 G) J2 u; z! Y! f
let j 0
4 s; _8 |0 e( k7 { u+ d( p6 Mwhile[j < people]4 t% f% H7 [: p3 e$ U! {
[! o* o9 U0 ~7 ?& D
let new 0
# W! f) D6 L/ |- J* @5 d;;暂存新的一个全局声誉/ {' V' r7 o$ e, Q( Y: f: q
let i 0
& v; K5 ^+ @$ ]2 l& Y* ^let sum-money 03 h+ j& r& o; t* m/ Q3 V% H
let credibility-money 0
. W$ b$ F$ y9 p: Swhile [i < people]
; Q" U- A( {3 {4 d7 r+ y[. C1 p, b! @9 A% e0 ]
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))) y! A- C3 b' M( P3 Y
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))5 \9 w9 Z; u0 \
set i (i + 1)3 C6 |# \9 C$ Q6 k
]- y- H' L) l1 Q. Q, v |
let k 0
; `+ N; x i% N0 ^" |let new1 00 e- N$ `( D" j+ C9 _
while [k < people]; E3 S: e1 L4 x7 ?2 j
[" X2 X/ l# V' `
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 ~. w" L2 _* m- F1 J. w. N2 m
set k (k + 1)
; S, @9 }% g8 V0 Y1 h]: J/ |& E5 l V5 y, I& g( `
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) * P2 d; v$ }+ U- c4 }: ~
set global-reputation-list (replace-item j global-reputation-list new)' A9 C5 t( S4 G! ^
set j (j + 1)
7 l9 } m ^: R6 f]8 d7 i. q/ _- _' k- i1 e
end
/ m- `( D Q. d9 U+ u3 ^% {8 c) |- l8 ]' ^' h
8 L6 |; w; z# @1 Y8 P: h# I! q0 ^
# P- f0 h! n) U' L! ]8 m' i. S7 i5 `& Rto get-color
; d K1 g1 v$ G$ I% J/ s W7 G+ T1 H: a( [
set color blue0 k/ q" e* R6 R( p
end
2 W/ `0 n$ i- B2 ~- N# `* ~0 A0 ]
2 R! p/ [9 n- y& nto poll-class1 b& o8 n$ a, I$ E
end2 E! R1 \6 K. L2 ~
4 }9 G; T1 X; `$ r; |) e) W& S9 p& P5 rto setup-plot1
& X* U b" C2 `3 w
; ]* T, ^- y/ x6 T0 qset-current-plot "Trends-of-Local-reputation"
+ A2 _5 \! ]5 A5 t7 T# Q u% m) J* J5 y! D" ]: x" r6 Z
set-plot-x-range 0 xmax
4 }2 y; F Y6 _ D
1 h+ q$ r- ]6 z# C. U+ x) `( K1 b( E) {set-plot-y-range 0.0 ymax
) q' \: a4 I8 q: }3 ^end
* d& c0 J; N/ u& I9 g0 `. @8 u3 A9 }8 S
to setup-plot2
: X0 L6 t+ Q& y3 f2 C" E7 q" S z8 Z
set-current-plot "Trends-of-global-reputation"
+ [9 M4 d0 ^, G
0 q* H- [+ c6 f* u4 W# `set-plot-x-range 0 xmax
/ r* o) k( J" q" |
4 K# }9 w! m& H1 [) V4 j7 |' kset-plot-y-range 0.0 ymax
* f2 A5 J& Y& i. `' s6 @end
, r2 t, |$ j4 m$ C7 C+ t" y/ C- b% `# k6 I# J$ W- {6 X% i1 c9 j
to setup-plot3% A v [4 ~/ a0 E0 T7 I
1 B9 r/ D0 p8 I. I( z0 o; \
set-current-plot "Trends-of-credibility"
# ]$ |: u0 [, f& n3 s4 b) _; y- P* R+ Q" W& s/ D3 X/ Y2 i8 `
set-plot-x-range 0 xmax) `$ H3 _0 ~4 O R L
. r/ k9 d6 B* Y
set-plot-y-range 0.0 ymax. P4 E- {8 H. u6 L, u
end$ ^8 j3 S" W# r
% i+ r8 J/ x( j
to do-plots
7 a/ B4 _- V" Z. u8 ~set-current-plot "Trends-of-Local-reputation") Z5 ?+ v/ ?, I$ \) U
set-current-plot-pen "Honest service"
, f+ w" W- [& Y f( w& W5 ]end" K- |( n5 w) L% I3 N
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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