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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
0 E- a; ]: r) C: f5 W- L5 jglobals[# i- o9 i5 [6 g6 \' q5 r4 V, e
xmax# I W A, X+ U2 D: F3 c
ymax6 \) P: Y5 T6 O2 H
global-reputation-list
3 o3 J, a3 Z: A4 C: t7 T9 J2 c+ J
5 M& t( U/ w2 T$ p' T;;每一个turtle的全局声誉都存在此LIST中6 m3 c2 R! _" |: C
credibility-list
" g4 m0 P- G$ Z1 J1 C1 F' N;;每一个turtle的评价可信度- `0 X% g+ a) V
honest-service2 T6 W' a8 X a* R6 A4 c& v: I7 I+ S
unhonest-service
# h5 H' g, E' R" I1 j6 ~: |- Goscillation
; g' U$ G1 I7 o+ D: \# r9 P: wrand-dynamic
' u/ S6 \3 D9 I6 S( k], t; ?6 V, W- a
% ^4 B& P2 m% `turtles-own[
. e( C) C* v9 N, Rtrade-record-all
9 }! Y4 g) W) e;;a list of lists,由trade-record-one组成4 S$ f' l6 [! o1 P/ ~
trade-record-one
, n, V* S7 A* b7 N/ B: X g3 G: M;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
1 h& U8 z7 b: M! C8 c
# s- N- {- x7 N% F' q;;[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]]& c$ m5 O: c' ~0 ?0 c
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]
1 x4 O' D8 C0 k$ u! N$ F! [+ Xcredibility-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
9 ?* |) ]/ y9 ~6 d( r# Rneighbor-total
5 i) U" J) z; y5 y7 [;;记录该turtle的邻居节点的数目8 u9 a: G& M3 y! Q9 |: s2 A% U
trade-time9 i$ \! I+ i3 o
;;当前发生交易的turtle的交易时间
9 Q( w4 {, F+ J p Iappraise-give% x+ J$ }" M n' x" E
;;当前发生交易时给出的评价; |6 U3 I- Z# v) O
appraise-receive% d- ?- n* }1 _1 k$ I, W
;;当前发生交易时收到的评价# B, L+ U2 x. A( T# U
appraise-time
* U4 Q9 Q: C8 L' Y: k; P;;当前发生交易时的评价时间
6 L! _. e4 H; l) [4 @' Flocal-reputation-now;;此次交易后相对于对方turtle的局部声誉2 {5 ~# h+ A6 J1 F
trade-times-total
3 G% E& Z; D( D O: `;;与当前turtle的交易总次数: _! s' j4 }# Y5 @$ W
trade-money-total
: q; r0 x- l9 s;;与当前turtle的交易总金额7 Z( }) w- t* g) K( H
local-reputation/ U) I6 R {5 ]: p) F7 K
global-reputation
. r# [, s: g6 }credibility/ |5 V4 n5 X D
;;评价可信度,每次交易后都需要更新
) k7 G# y& H. g9 L3 kcredibility-all
9 x# A# I0 p# r/ C3 N! p6 l% z( w;;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
& H& k( P3 r- o* \* e/ Y' ^. {4 I* g, O" `! y
;;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# } h* Z. C. h, c; e+ _( hcredibility-one7 a# ?6 l; T9 ~5 }0 Y V0 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; E7 h& ]& F! I6 c8 j& ^! d
global-proportion2 F9 G0 z' s& ]) P" _
customer
! k ?& }# C+ {: vcustomer-no
, X, w9 }3 d7 F3 a9 N& f0 strust-ok
0 i1 j% @) x2 \; m+ H7 O Ktrade-record-one-len;;trade-record-one的长度. G+ h+ C% Z& G9 j
]/ b2 R8 L0 [ M+ d C
6 ^* V$ r# ]; d0 r( Q/ T;;setup procedure
q" ?: ^) N2 Z* d! n7 \& A% f2 P9 D6 H1 r! T/ M4 J* v: ] _
to setup
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' y9 P5 z7 n. Tca
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# ?: v3 [5 V2 qinitialize-settings
; V( L5 N- C# ~' h# L. f' `0 f3 n$ b2 Y8 ?% B
) }2 {( \- n4 Q6 F Fcrt people [setup-turtles]3 ^5 y. d* Q3 Y4 r+ Z5 b# m
7 E& r9 K! R3 t" `; \- W0 |
reset-timer* U; c; K% _7 M+ G- M& O
% B/ j* m2 G9 z& ]1 g. E2 Dpoll-class( d$ p7 L3 ~! y2 p' @
8 B) }, _! e* g! {( @* n$ d
setup-plots
0 ]# G3 D1 c7 N' s7 M$ q
3 c! |7 a* J2 N6 sdo-plots
9 W- h1 _# D9 [4 v1 Xend* I# ?7 ~8 U8 @7 q# F
1 c) F+ r: `+ T! a% j& c- T" l! d
to initialize-settings
5 ~7 A* i# Y; k! g6 T" T) w' B6 P1 T% v2 r4 t; ^
set global-reputation-list []
) ^2 h) O! y" x- [) Q3 r X3 s2 _, j6 S$ a; Z
set credibility-list n-values people [0.5]* |* W5 O" y8 {
) r) R7 |" i! u5 n; fset honest-service 0- t2 ^ w6 J6 P9 |4 q2 r X( ~& B
5 V+ x- \! c3 u) ?) r6 `3 [4 @
set unhonest-service 0$ @2 [! o( l2 X# z* o, K) |
' ?7 q# R6 J1 p
set oscillation 00 c( J$ r) Q! H$ k2 q$ U
0 ?/ s" u+ T: b" J( r
set rand-dynamic 0
' q1 F, ?0 @$ w3 [) ]* |end
5 E f* F% ~& a5 c3 g
. u1 H% O1 F4 v" ?to setup-turtles
% {& J+ I. i* m+ m4 K5 N5 Gset shape "person"
1 p! [$ B, Z5 isetxy random-xcor random-ycor
" `% j) g, ^: H8 j3 p. O& Zset trade-record-one []
2 t! j$ ~# T$ i2 O) _0 d* q: U! m+ i2 d$ z0 F# M
set trade-record-all n-values people [(list (? + 1) 0 0)]
3 O$ w( r% c: ^7 C2 O
% H4 r5 ]# b' N: u; xset trade-record-current []
( _, Z7 @2 e( R, y! ^& Wset credibility-receive []7 R- ~# S( s/ p2 T
set local-reputation 0.5
. k$ v$ k9 r, Zset neighbor-total 0: b& L+ G M2 n
set trade-times-total 0
! Z- I/ r9 v2 F# { ]( i/ Qset trade-money-total 0, |" X! i) c, t9 N! I
set customer nobody
$ z1 e6 W# K+ @# Lset credibility-all n-values people [creat-credibility]$ P, W- t' L) |" t
set credibility n-values people [-1]3 v' |+ i& _% t; f9 |
get-color0 H+ f! S/ K; t( o+ X U
5 K1 W! F0 F% |* M
end
' W/ R- k0 b6 x- ^ L% F
2 J; c4 P3 d& r% Eto-report creat-credibility
( Q% F+ g5 L9 p: H- L& W3 U% W. Breport n-values people [0.5]3 T" F# t- s4 {% e( |
end
4 l% k/ d" g2 v6 P' O' g ~6 `; t/ _9 C2 |! }+ H' F" a3 ^
to setup-plots
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set xmax 30$ W- z7 \1 G. g e3 I5 f9 N0 J
2 P( ?; R' M; n+ _; v( D1 F/ R2 t
set ymax 1.0
, u0 ^; K" a( R. X u" m% x! y/ P
clear-all-plots
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setup-plot1+ a j$ w( I5 b: z T
4 v' O2 W) b/ P! I& Ysetup-plot25 _# P! T, O6 Q$ z
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setup-plot3
: h5 L0 K7 D8 ]. Y8 G" v4 gend
! D- u: _' M/ l1 E8 x
& h* v2 x( o* ?4 t% n7 H0 g% k;;run time procedures
i( F0 C3 n: ?) Z6 a$ t; {2 J+ h( X/ e' G; l; u3 i9 @/ D3 o
to go, Z+ {% Z* B; i
0 e2 i4 s9 b T0 P) h0 o) o) Cask turtles [do-business]
3 W, d+ s" \- v) n3 dend
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. }6 B+ f3 d- W1 t5 L( P% wto do-business ' p# d0 ?) ?1 M6 L# g- W$ m
8 W4 E; \$ w( D5 r) y% @
8 S8 j W5 V4 I, H8 o2 Qrt random 360
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* C2 B5 [" j1 _# R: G; ]fd 10 D E) M5 ]" E; K2 I, r
: {( q$ U% @4 g- Iifelse(other turtles-here != nobody)[ a2 r( k1 y8 @$ e3 i0 Y
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set customer one-of other turtles-here
8 W+ M* T3 q! z+ a6 x9 R
5 P- v2 o! w% c4 \% q;; set [customer] of customer myself7 }; X; W3 k, {+ C. V: j" U( S# m
* V, R7 r' z8 v. `set [trade-record-one] of self item (([who] of customer) - 1)# n+ B7 a) I% G, V4 B/ I
[trade-record-all]of self
2 c6 s% i4 T/ |$ W- \;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self. X/ t6 W& B8 y
; f, v4 Y% l1 h6 B J
set [trade-record-one] of customer item (([who] of self) - 1)
. ]3 T6 A8 ~3 i% R[trade-record-all]of customer
1 g3 H$ c! g/ \5 Y- a& J+ M& k2 `
set [trade-record-one-len] of self length [trade-record-one] of self+ b F: N" X" h1 w% K* T& E
# @7 f6 k) \/ F6 {# xset trade-record-current( list (timer) (random money-upper-limit))
$ v L; d# |3 [7 q' `) @9 O; l5 }0 K9 J+ i5 g
ask self [do-trust]
?& C) n& ]; @) S;;先求i对j的信任度) @1 q3 n e8 P+ t* T9 _4 u
( q. Q2 Y" k. J! _# `/ k, Cif ([trust-ok] of self): d" _- l9 _) I% s# l# b0 F1 W
;;根据i对j的信任度来决定是否与j进行交易[* w* ]5 Z: Q, j2 N3 I& I
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself; x( |1 J& Z/ h w( y; i& ~
6 w1 \1 [# h c: K$ J6 m
[
+ t0 A& O1 H7 z# v3 h
; k9 R3 A+ { F6 }) wdo-trade# f0 b+ O- p- Z7 \1 j) y
! K/ ?5 G9 P7 R2 p9 x
update-credibility-ijl8 S/ o2 n3 A* ~3 l0 r* U
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update-credibility-list
. [; ^: t6 Z' z, u# v! P& o9 e
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) b9 W: m( i" X# \update-global-reputation-list
+ I, k9 B' r5 D9 o' N( }! H
2 E9 V3 m+ |( Cpoll-class2 y) B9 Q8 F! h9 _7 i) M. R" h
u/ p" h( L7 m7 V S6 f
get-color4 i5 U% ~6 m. p) L$ d: R! K9 M
4 Y( \- d5 O& Z3 r) ~% `
]]+ u6 Q. x5 z$ H/ v; C) ?
% `2 x, C0 W% c' m T# H
;;如果所得的信任度满足条件,则进行交易$ ]! S( b6 J5 c" i7 m0 J
5 S- I C3 u/ J8 d/ q1 @5 o[
( f- m) i M( x2 L; e$ j9 i' L; k) ~$ U/ e# y' ~$ [* b
rt random 360
. i8 c1 ^$ B5 }
& k" E b9 S, s+ U5 k$ @fd 1
1 ^4 d% a% F, q, x: a
) X- A# L1 i$ Q) m# f' ]]
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0 m3 h0 b7 `9 W9 a' e ]/ g3 Bend
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[! T: g0 O! l! rto do-trust
; x/ E2 w5 y/ w4 l; ^! D' _set trust-ok False
& H" C, M1 k7 ?8 S, v9 L: q+ d( @9 F4 ]/ K1 a' A5 _) L/ I
* j* {- U0 B+ W: Elet max-trade-times 0
/ p7 P5 C( L8 V1 o: @foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]& g: ~( ]8 d$ k- _# Z- q
let max-trade-money 0* h; ?9 |8 o. Y6 A9 Z+ n
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]* y. B6 a# N3 @- ^
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 g' c m5 M) ]- h2 Y
# y7 j% O1 v# A; o. ]% B
$ M# v$ i( Q# q0 S+ a/ D. P) b
get-global-proportion
5 a: q$ D W/ Q# C1 ilet trust-value% H( o2 E* \. S7 Q
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)
- o0 h: z: h* i ^4 S4 M$ D7 `' dif(trust-value > trade-trust-value)
' q- O" n& x$ k$ y[set trust-ok true]: w' s2 Z- J6 c) j
end( N0 R+ [* K/ F3 ~0 s2 V
3 a: O" U w! ^ G9 \
to get-global-proportion
?& e1 x' p M8 g7 v8 Vifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
; \# @2 E, G, f* e0 z6 R[set global-proportion 0]& N* |' x1 [. Q
[let i 0; ~6 _+ N, y! q9 z
let sum-money 0
3 [7 _0 I$ n9 x3 Awhile[ i < people]
2 E3 |2 U: p4 F6 H2 _0 V[
+ G2 M7 ]5 j/ ~. yif( length (item i
M0 V$ X& P! |5 }2 h3 c* j[trade-record-all] of customer) > 3 )1 M% i- h7 n5 ^7 p* m
[5 ]! p" t8 y9 `
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))+ c( |% C6 H: D: ?
]7 I) R$ K$ Y( j( C
]! {- I# e0 l3 U s2 E
let j 0
0 ^8 H( H6 |4 }& I2 v1 X Y5 {/ M+ @let note 0 u& A8 Q( j: r; b I# C; A
while[ j < people]
$ v, k2 U1 o- o3 `8 C[
4 R7 A" u* w/ m2 ^- u- i$ @if( length (item i% Z* g2 O3 D" n
[trade-record-all] of customer) > 3 )
) i0 E; ~; }' I& Z[+ s: L* }. }% v+ ]2 o
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
7 q* C. t' I5 \[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
0 o, K! b! x8 R9 e. o[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
. C- b9 Z! F8 l) F4 l]* [ Y" A5 _: P/ j3 S
]* u# U+ B$ i; {7 ^1 b/ q
set global-proportion note
% o, o* _' v+ a( N' K) f]
' I7 ?3 }0 L0 g5 u# Q+ \# h: z2 }end" q; c) k0 c% ?, V' k+ \! Q
% u% N. g. z+ S) y
to do-trade
3 j# j9 K. J- I+ W8 S% k6 U( B+ @;;这个过程实际上是给双方作出评价的过程
; o+ R7 `; j) l' }" Aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价5 S! ^2 U g; V! p" g' V
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 R2 k+ c* }+ eset trade-record-current lput(timer) trade-record-current9 K: Q" e) r! s; i! \8 }
;;评价时间
6 K+ @6 k% D( m z4 f, O* @* Cask myself [
+ `5 J6 B7 w2 Oupdate-local-reputation
1 J& @7 _ B M3 Zset trade-record-current lput([local-reputation] of myself) trade-record-current
) \1 J: @# {9 a]
( ~6 p; D' p4 s; y+ Kset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
; S/ j+ a& e$ N# m;;将此次交易的记录加入到trade-record-one中- L$ S% @6 d3 j, Y3 R
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself); @( X% w( N! d. Z2 W% G# `
let note (item 2 trade-record-current )
o9 s2 U2 ~3 Z3 q% Fset trade-record-current' e8 a2 {6 I2 b9 w8 X: I
(replace-item 2 trade-record-current (item 3 trade-record-current))7 d j# ^3 J4 T
set trade-record-current6 G: i. o0 ?/ J1 K8 U4 U- y
(replace-item 3 trade-record-current note)
2 m" @1 ~" ?( t: a6 s; l1 e& q2 Y9 ^& m! ]
0 R3 n8 h% h& ?& ?0 g9 K9 a9 Eask customer [; C, }+ R% O9 r: J+ Z3 i- r) g( u5 G
update-local-reputation
9 b+ a- ]" ~, D7 P' l( @( Mset trade-record-current5 \% h d8 c H+ C- M8 C+ D- c4 u) ~- a
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
2 R, _" c9 b D0 m6 @- m v]/ a+ `$ {" ^; P$ B) R* {
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set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer1 a' j# L8 t# x, L6 M/ _; m1 `
7 ?+ U6 C' |3 U+ i% E; E
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
# @5 m; C+ M, y2 b9 K;;将此次交易的记录加入到customer的trade-record-all中
1 b# s7 B% ^5 g0 N5 d- i2 y! \end4 d) P* e# b$ }7 j
# r8 S6 G: }& E8 `7 Z7 _; Q+ Wto update-local-reputation
# @3 c; P) D1 o4 `: ?* Bset [trade-record-one-len] of myself length [trade-record-one] of myself8 k5 x4 U6 z- e4 {. x
8 V9 j) d2 J# m# v8 t$ D5 e
" U$ u3 B. L- k" D1 O;;if [trade-record-one-len] of myself > 3 8 b/ y9 s4 f J$ \( R8 q
update-neighbor-total
" c+ q0 D$ }. y" q! J$ [. |) V;;更新邻居节点的数目,在此进行! o5 i# A1 e: J$ X7 e; h
let i 3
1 p: o3 @1 e& mlet sum-time 0) `7 F2 V( w: l9 \4 X
while[i < [trade-record-one-len] of myself]
$ V: E% J8 p& _6 X[
: X+ J1 O8 W, V$ Dset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )- x; j: u! v( Z4 x4 q) z& Z- Q
set i
7 I$ N- N( W) h6 P3 X( i + 1)" }: W: n7 u' ~) C, Z' [7 q4 j
]* s2 e1 J, ]2 a
let j 3
, b! ]% j3 {: b8 |4 l E) Klet sum-money 0
" b2 w3 L8 h0 @$ s! {, x- N) cwhile[j < [trade-record-one-len] of myself]
& J3 {* G) A2 {; [[
9 @/ K/ n& g* _* D! aset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)& E6 @* h8 P4 Q, R4 ~
set j
. y- j0 I; k7 f+ M: P( j + 1)
5 u1 M1 y$ P) A0 A4 ?7 t e]6 U9 v9 i/ T/ O' J3 a
let k 3: i+ d! f* Y( d3 S
let power 04 _* P v0 Z; \' [
let local 0
! o) e# y! {( i6 f- uwhile [k <[trade-record-one-len] of myself]
" ?+ c2 W3 A! P[
, i; b8 u7 _1 ~; hset 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) 1 \4 f1 o, {" I; z- f$ U% \
set k (k + 1)( [) m" ~5 N# _2 n j. J
]* A- K, r \6 y0 a
set [local-reputation] of myself (local)
5 O2 [5 d {% Q- U" `" F; v( [end8 @( Z P% Y+ U; u6 d
" _) x! I" T$ T- s/ sto update-neighbor-total
) i' p$ O; h O; m# |! e# ?' _* G& e9 b$ A
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]7 Q& I8 I9 m" P. Q4 S$ m
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end
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to update-credibility-ijl
; H8 ?7 I* e3 Y( c" [! ]# Q5 n0 L. Y3 g z2 ?' D( M! w: h8 H! S
;;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。& u1 b- d" p6 `! i3 m% }
let l 0
4 C' U' h: ^8 E! C3 Pwhile[ l < people ]* a9 X( P& V Q0 }& C0 L+ p5 L
;;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
; K7 V( w2 N0 }# H: |[1 \5 \: q" ^2 k" L: X
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
7 H7 k: ]- G& P) tif (trade-record-one-j-l-len > 3)
6 h3 \7 x7 E5 |+ ][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-one2 t4 Z/ ^$ ]' a5 B' f
let i 3$ @" c% o6 e& M% ~* T8 [% G' V; D
let sum-time 0
1 Y0 C8 C/ l$ H1 Fwhile[i < trade-record-one-len]
$ H8 _8 k* b4 n' m+ b x% g[9 m' r( k6 g% n7 i" g
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
0 ^; i6 l* V- y0 U" xset i
2 @( \% r2 Z3 T# I( N( i + 1)
( g# k+ H5 S; I' T]
" J# o- ^) b0 P. L! M( D; rlet credibility-i-j-l 0
' }* P4 V6 u4 ?3 [: |- y- r;;i评价(j对jl的评价)
( `3 T9 V& M5 ^( `4 {let j 3) i& w" I& X: p& R
let k 40 G4 d4 l+ b2 n8 G6 V# g) `3 @/ N
while[j < trade-record-one-len]
9 J0 J5 f5 e8 K[ {+ `/ r1 s- n2 _( f
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2 v- t4 y$ m+ `& v
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 k9 K8 i4 k/ ^' n0 `set j
" r' A' l/ `+ Z9 q8 Y% ^, k( j + 1)
2 _9 d: J/ M$ r+ u% h8 U]8 ^, c7 }/ j3 c( F
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 ))
+ \- U5 G" S! {3 M6 {3 h0 l6 u/ ~8 \- M) u
7 A. B- t u* H" @9 Z" ~3 S, Y3 ~let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))0 n8 R) k& z7 B2 B4 T4 E
;;及时更新i对l的评价质量的评价( ]6 |5 o5 G; k* b/ ]
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]7 C. K- z) b+ G; V; S- R) z
set l (l + 1)
6 R$ P* x8 L" k' u]+ ?0 ]# p8 o% K$ R
end
3 P1 F6 r$ @/ a% n* m
7 m% ^4 o7 M* T" D1 V! Sto update-credibility-list
1 @) F! f+ l+ m% C; h8 J0 Z% Y ulet i 0
+ i6 p1 j2 {* K* ?" i$ owhile[i < people]* S( Y z9 Z/ C* A7 ~. r
[* _! C& I0 u/ T0 d* X, ~2 X
let j 0% _: v* ~; ~- r2 o9 M5 W
let note 0
' k; D. B, ^( m9 mlet k 0
0 I4 B2 b8 X! U& L; g% S" B;;计作出过评价的邻居节点的数目# R( C+ f0 ]( G. _& n' p
while[j < people]
7 H* t' t+ d% X& w+ |8 E4 y[
& U- Y- k$ y3 a- H, qif (item j( [credibility] of turtle (i + 1)) != -1)
' Z9 m1 s4 q3 D0 d0 m* A! |;;判断是否给本turtle的评价质量做出过评价的节点8 L1 x. n( w$ k2 e
[set note (note + item j ([credibility]of turtle (i + 1))), i- |" y7 @1 F' h
;;*(exp (-(people - 2)))/(people - 2))]5 B _6 V+ B+ C0 i; M
set k (k + 1)
|( [+ z- r0 u( d$ F]
( c3 M: {" o6 S4 P7 A( u2 j/ E" xset j (j + 1)
1 w: a( p; z8 h% i( U3 n0 F1 N) m]
* C/ n Y( m$ v) Nset note (note *(exp (- (1 / k)))/ k)
; I. z7 X! E9 v% b* Cset credibility-list (replace-item i credibility-list note)% Z$ V3 k8 u4 D. R2 u4 f, C& B
set i (i + 1): p# b, B2 `: X0 {: K8 B
]8 Z" Z# B" d$ U3 l
end: u6 @6 M8 `( `+ {
: l" c# R! O- b, p! Y( I& y- n
to update-global-reputation-list$ }# e* z' v: r! n. M N9 F: c, m6 e
let j 0/ h, f- P3 e; O) a( D" f: N# L
while[j < people]
" e5 y) r4 n" ~# y1 k[
b! _1 D( g" q0 e; e7 qlet new 0; Y) H& A& f$ s$ |- Q! x
;;暂存新的一个全局声誉2 w4 v1 {% ^& e3 I" X/ x
let i 04 o6 o) A5 ]' \
let sum-money 0. B: \/ C& P0 C
let credibility-money 07 T3 }0 a# x; g2 O" k
while [i < people]
. Q5 H! X* k$ L K3 \[
3 d5 D; _: \2 e5 k8 f+ }set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))1 B* D( l% `% A# S& j. U
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)). T7 c9 G, @! u! A1 M; t: @
set i (i + 1)3 n" ?7 s& a+ I+ r% X$ p& \
]
* u6 l2 R/ z5 h1 B5 r, `let k 0
! a* }1 H& M7 f, ?3 nlet new1 00 o0 g; @( m+ M" r/ r) u* s
while [k < people] {( k2 k# U' N$ b
[6 E1 S0 }9 F3 F9 k5 k; C
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)" H( \" [- J% Z( ?9 ?
set k (k + 1)$ i# W% s6 C) y2 y; A
] x. @8 n/ S" d# L! Q
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
+ h8 f5 X) b9 e6 [+ A4 Yset global-reputation-list (replace-item j global-reputation-list new)
/ Z0 e6 x; p: e; [- [0 ~7 a: zset j (j + 1)
8 G3 V9 Q# P6 n, U4 d]0 N' V2 o4 p! h: q! b) a: l8 Y; h
end. { Z7 {) r' ~5 k
. {* ?7 F9 d6 k3 h$ l
3 \8 K( K$ D0 Z6 K, o7 ~
& w4 C+ ~; y% c8 X/ t5 Ato get-color
% C% ]; m# G& O1 U( ]/ f0 T0 Y; x; M1 e6 A8 w6 ^5 ~
set color blue0 G$ Q" e9 U$ [. @5 P
end7 L: A8 z# U; x- J S; z
& d6 k* E& G7 b2 m% Y4 t* O
to poll-class4 x: M6 e1 Y) A. L! }" R- T2 q
end0 i8 ]& f# m, E
4 {# W0 p1 Z+ f% q* F
to setup-plot1/ G! _7 r" [" z4 n& p, l; D7 b$ }
$ J$ A0 n$ d* u( {: Qset-current-plot "Trends-of-Local-reputation"
6 ?% t/ ~5 _+ y3 m/ B+ _# N2 n
/ O, X0 J5 o6 @8 p. R% l3 R. q Yset-plot-x-range 0 xmax: B& x- a) v3 [7 z- j' C, W
7 F, F5 V( V Kset-plot-y-range 0.0 ymax
/ o$ s1 G2 q( lend
: a9 M8 H& v# h8 P- c9 P7 w
6 d3 t) S; R5 `# P9 X' Gto setup-plot2/ c e! @1 j# U1 ^+ G N7 b
: F3 _4 ?' S3 E( v7 ]/ Y* m
set-current-plot "Trends-of-global-reputation"# |4 u) R, D6 {. p5 r( o8 A
4 W2 T& I- k% T7 D" J$ jset-plot-x-range 0 xmax
# R! c$ T$ [* W' ]1 m8 F; w& l$ E4 P; c7 Q: H1 ]
set-plot-y-range 0.0 ymax* q1 {! ~; X% ^" ]- l. c+ ~; b/ m
end) u' I% i$ s2 m, Y
# [9 L3 i" P" ~, A/ }6 ]5 L
to setup-plot3
2 E$ |0 O' k) }9 g" t7 ^2 r% D8 Y- F Z1 T) K; ?& p
set-current-plot "Trends-of-credibility"
1 n. Z' L( }. t. w# [! u4 P/ _+ E! K$ o9 W4 U/ p4 r
set-plot-x-range 0 xmax& X6 X! u$ }/ x, u4 h
; ]* ^) a3 X, m# x aset-plot-y-range 0.0 ymax; p* P3 [" ]; K6 G" W
end
h% Y2 x0 @$ p5 Y# [8 x
# {- N% i, W" V. {2 d; i! uto do-plots. [; ~4 p, k4 y" P @. k
set-current-plot "Trends-of-Local-reputation"' @; ^! X* N* x/ ~% m5 M# B
set-current-plot-pen "Honest service"3 e1 [* Q4 F: F8 w0 M
end6 W+ e! L$ r" |( p) x: }
( F8 E* O9 E# V ]8 y. p i[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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