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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
9 G) s; n( G' Mglobals[0 `/ C* u8 o; i
xmax
' v0 O. q; b8 Pymax
% l( W: S6 H! u( S* @global-reputation-list' o0 E9 t4 S3 B T: s5 Y5 R0 G
5 h+ y! |/ M$ J$ B& }. d& I- w
;;每一个turtle的全局声誉都存在此LIST中0 O$ _/ R1 g6 p& n, t3 @4 L" N
credibility-list* L9 u# Y: M: t
;;每一个turtle的评价可信度
4 ^3 S" }4 K, E: `) Nhonest-service B3 Q' O x( N" [! ^1 Q0 ?
unhonest-service2 ^; w! y) f& q5 F8 W
oscillation
/ t" e! y' v U7 D& r* P* ]+ P% erand-dynamic: P- K$ j( B: C$ i) X& |4 B0 H# t, B
]
% x( w3 E) S2 P: Q$ j; x* q( p$ w$ @, b: k$ I1 D7 U* z
turtles-own[
/ @$ J# t1 u9 w# ?5 ?( ktrade-record-all) s8 H( L+ X' D5 h
;;a list of lists,由trade-record-one组成
, R# q3 N% X8 P% x1 L0 w Ntrade-record-one3 F! P% I M( H6 p. O
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录% @: K6 Z" f) R' P* Z" e( R
`0 V6 m% H) z' t;;[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]]4 R/ L1 S a* _; V0 T
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]2 l% I: ~. ]2 \1 B
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
K* `* l6 T* ~1 fneighbor-total o, G: b3 @$ I2 S& h n% t
;;记录该turtle的邻居节点的数目5 W* T- B% _' g. i- z. W' O
trade-time! y* G. f, Q1 g. ^, J& z, s
;;当前发生交易的turtle的交易时间% S, b2 m# V, }+ d$ ]( g6 P4 V$ `
appraise-give6 t$ I) o" P; y' T! D' Z2 l
;;当前发生交易时给出的评价7 M. j. p" y8 h* Z6 w- ]1 H5 j" k$ X
appraise-receive
" [! W, ]! I; k;;当前发生交易时收到的评价
0 N# L8 C1 v& @% X% tappraise-time
+ p8 R; O. g7 U( |+ ^;;当前发生交易时的评价时间
7 [% }4 u' O6 v/ J- Y6 {" Tlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
6 h2 {' D# v& V% a0 t1 u3 Itrade-times-total
K8 ]+ q# ~9 H: [5 D: ^;;与当前turtle的交易总次数
9 O; G/ ~4 k5 \/ ltrade-money-total& u4 b2 u2 ] m/ X
;;与当前turtle的交易总金额' }4 C1 j' Z6 A
local-reputation% P# K% c9 H$ ]# L+ |8 Z
global-reputation, @- i* H1 U" Q- T2 \
credibility
6 u8 v) u) ~9 i* Q* r;;评价可信度,每次交易后都需要更新
1 D2 j" R2 G( C' b$ Dcredibility-all
8 z# b C4 Z0 r0 f: C5 |;;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! w6 n" R2 o0 f
% u, N! o; E) \3 u* J6 ]
;;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
( ^+ f6 ~4 ^2 \& Q- {' x8 gcredibility-one$ C4 W5 ]; V( l) }0 Z, }' T
;;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: v9 O2 @- F6 U1 u
global-proportion/ S: f: g0 H/ r( d. u. B
customer0 o8 M9 |1 J) V
customer-no
* `7 x. C2 b# j$ A+ b8 r N' P. }; h) {trust-ok5 T- s# J+ C& u/ d# ?0 a
trade-record-one-len;;trade-record-one的长度5 q) o, l& |9 v1 w( ?% J
]3 c8 F) i- ^0 y o; }
T1 e! z3 H: L' j;;setup procedure
| p- R& b6 K& a! m
1 d/ W/ A" ?8 ]* x3 L( pto setup
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) S! { s% T2 R8 D0 o0 w: d9 Y' ?, Bca
5 H7 U5 Y4 r( M( o) n0 S
& c( Y6 i2 j, t4 u8 iinitialize-settings( [! M ~4 S3 O6 Q& ?
2 @6 n f) _1 o; e& u) i
crt people [setup-turtles]
2 h3 J% i2 W" o' z9 O' Q/ d' z: Q8 ?; s) E- u" B
reset-timer! O4 [; f; k+ @6 I0 d0 b" A* m, U
2 R' e* y# {) t* b$ V( n
poll-class @4 ]/ M. C, n; w+ C" s
9 K5 j! a( k; s0 m3 B, @0 c) Rsetup-plots
" m( m, A& y/ k
) j% U3 s' W" [! J1 m- X& O8 edo-plots
3 Q$ S" `- a& l2 o1 `4 E- `, c" i+ eend0 {9 e8 | W& W0 g Q$ B
) d2 k7 g: T2 w, y% B
to initialize-settings
! E* E+ D2 w0 t. x E# c
: w# P" ?3 K9 T1 k! p( A1 Sset global-reputation-list []; _& O, X1 m3 ~) n/ r ]5 r
; m- F. X, p, A& u- C8 }: N2 x mset credibility-list n-values people [0.5]9 g1 q' [- U. D2 r/ c
5 s8 N( n- ^- V" v" }
set honest-service 0& m, U' c0 P9 D- F
0 v2 \ D; t0 v/ {, d: R& gset unhonest-service 0
8 l! t0 @* ~" W8 z; D Q' ]4 _! b5 J* Y
set oscillation 0
* i& a: A" \! o3 |% @& G/ ~# I9 b0 u. I8 M7 K4 L: ?9 p
set rand-dynamic 0- ~% W8 ~5 K; L3 z7 y y
end
, M, \& c0 X# V6 { v$ k! N% Q. ~- P' @+ Z8 L0 n0 L$ \, l
to setup-turtles 8 a/ n1 b* w. C1 _
set shape "person"3 M, ?* y! R" u
setxy random-xcor random-ycor
/ I" R0 R" @; Y% pset trade-record-one []+ ]9 z& M4 G2 I9 K3 B3 N
/ h: \# i# l5 L+ wset trade-record-all n-values people [(list (? + 1) 0 0)] A1 B/ K* L6 \% @; D4 B
( ~; U) ^7 q3 c
set trade-record-current []& l. F. s' \- e. W6 Q7 @8 y: G4 r
set credibility-receive []
) r# G' H5 h- u6 \set local-reputation 0.5
0 A6 q: d. p" L" Xset neighbor-total 0
2 j& r! S( d& I+ G: G3 gset trade-times-total 0
: r* q3 H" P" ~set trade-money-total 0# @" P+ P# O' s; f0 Y; R; B& y
set customer nobody
, @! d+ l! h2 {2 f: d8 y# R4 gset credibility-all n-values people [creat-credibility]; k* X/ I/ @& I' \% B5 j
set credibility n-values people [-1]
8 K$ `/ o* u; S c) L/ D& Vget-color
1 p, c0 E4 W$ [3 o5 ~% |& ?# a7 R8 v, |& P: W: c# c) M
end" v- e* V4 E M* k4 H0 }1 p' o
- |* l; g8 i) |
to-report creat-credibility
; V' Q" g0 r- J& ereport n-values people [0.5]1 ^7 _- {6 h: V' E4 p
end
8 _% ~. x' r* z# ]. l, z/ ]1 B: }( |" l! W1 k. t" L
to setup-plots
8 Z/ }4 `9 e8 ?9 c4 l! E/ q* L! h
set xmax 304 w/ `6 z( G, Z4 E/ D( `$ _
$ ~# ]) {# A! l8 f' Rset ymax 1.0. X5 w9 H3 k) P% Q
9 i4 p$ E) F! b9 K9 E
clear-all-plots1 \6 u9 S. ^2 m1 q
8 _' i4 p* g v+ W( hsetup-plot1) B6 p2 Q- R: z: ]: h
3 I/ X. {( G+ W) w$ k& n
setup-plot2& Z7 T2 A. [4 \, B
% G4 h! a0 E! A3 D- a V: K5 ?setup-plot3
* O- x. [! } B8 {5 r3 A" \end2 {) q6 {( [- f, x1 n! x0 d9 m/ `
$ Y5 b( \/ T# h, n. ^! y. v$ V/ u;;run time procedures
8 Q& z1 p' b3 T
: {/ c. v1 v4 ]* {5 {+ n5 [to go
5 `1 N$ [1 X6 i9 n( G4 w
7 X# Q \: \1 _" _9 m3 G9 Yask turtles [do-business]7 |, ~1 X) i8 T1 t' N
end
) ^; w3 A9 K7 z" q$ Z8 ~# l
- \3 ^' K3 V2 N% p' h, Xto do-business " t7 t- C% f+ O# g1 S
7 K3 M3 j, E4 I* Z& X V# {! ^. \
9 X) o1 E" \8 ]
rt random 360
2 I$ h5 {# k; r- a6 V$ q) W+ E" H8 n8 g9 l; {7 \; a( e+ J! D& D. g
fd 1* T9 d& r$ V- u1 [/ |
$ W% i3 N6 S! J5 R( v
ifelse(other turtles-here != nobody)[; u2 q# l' `- d% V6 E3 l( ?; {: b
/ e" @# e) }% N! Q# A2 M Cset customer one-of other turtles-here/ j& D$ P3 B0 o' S/ X4 I
$ Q- [! [+ y; g+ h
;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
) t9 N0 v1 m4 ^7 N a' I- G[trade-record-all]of self
' ^+ x: v4 Z* ? {;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
2 f% X8 @# L& r; T- l V
0 ]; N6 ?0 Y' n: o# cset [trade-record-one] of customer item (([who] of self) - 1)
, }- i, O! y$ I. p$ O' }[trade-record-all]of customer, n$ Q4 K( z, a, s. L
8 a" [+ x& T7 U9 l' H1 D- Gset [trade-record-one-len] of self length [trade-record-one] of self( e1 u y! s* x. _" M Z: j% x
2 d$ f9 x* `! ]1 i3 t* d0 n+ u
set trade-record-current( list (timer) (random money-upper-limit))( H7 O' u. D) ^' O6 @2 `* @
$ w$ e# H. j7 `' o; S
ask self [do-trust]
0 U9 ]% d; p" v;;先求i对j的信任度& L, Y* Z* \: G. Y( ^! z. O" {- K v
6 j1 G; F' y, U Pif ([trust-ok] of self)
c- i1 s2 S! X8 ]: u" J4 G;;根据i对j的信任度来决定是否与j进行交易[/ O. D8 B. m5 H2 ~3 M! ^. s
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself, H9 z( m# [0 B: a5 j) I; D! v3 Y, _
* s: `/ |& H# v6 `$ ^[. t" ?" ]: i% o- \, p5 @8 \/ W) ^
7 G) a M. b2 X0 {0 J! o
do-trade
- b5 \9 Y! O& s* Z) B; W! o2 q
8 m) Z: G$ N1 |1 E) Mupdate-credibility-ijl
& S s* h# r' R+ p" O) _( m& i
$ D* J- S G5 l8 |8 W# r2 \! Uupdate-credibility-list
2 Z7 b! r6 A8 C# I: W, y$ ^
# j3 ?% p& Y& ~ h- `$ {) _, _8 g6 h
update-global-reputation-list
9 p$ M, i, A. S- q8 B: P' @5 D( l
poll-class2 X! q; T- n- z7 q/ t
; I: \8 V7 u. n7 [, qget-color. I7 o9 e! E- [) k. u
$ c$ k/ O j" H
]]
& E' V! h* Y1 b* w" ?( q/ A4 }2 L& q7 M! k0 J/ V9 ?) T7 ]
;;如果所得的信任度满足条件,则进行交易/ s( u8 ^3 k# Q6 N$ a3 r9 Y' b
. n7 F- K3 m4 L9 c( x1 l7 V
[' d8 Y# W" P2 w5 X4 e/ k0 ^) F4 O
1 ?; R! m0 [# u7 [) J& I) l1 Ert random 360
: D, ?; x' `' g& R P1 U' {# o& H" _8 D( K5 Z$ z# B; M
fd 1, l2 }1 ~5 E/ ~' W* W- T
7 r3 E) r6 Z" a6 p- P+ r3 [/ V( }% q]
) g" w$ h2 m, w6 P; O
9 A! @ e' D4 zend9 M+ i6 W1 D% [
2 t2 h1 i! U4 b. }. [3 Kto do-trust + Y0 E) l/ c5 y7 m5 H0 Y# N: V
set trust-ok False" a6 T. F' A5 t9 f( t
: E4 x2 P% l# i1 ?: y5 K
4 C5 I+ w+ N( J" u4 Ylet max-trade-times 0/ S" r1 Y! o' D a* Q* }! R3 K
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
; t; b; a6 C& \0 xlet max-trade-money 0
" s4 u# r+ F! C2 Q) y2 \foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]- @5 \7 }$ B7 C
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))$ h: ?* f9 j: O( M `
J1 `" ?) }% U; P. e, ^
8 M' R7 O$ }& h2 C$ |* \9 I9 i- Z
get-global-proportion
5 U% l7 H( {, B; Hlet trust-value% H7 u1 u3 o: N; _ r
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)" K2 j' j: B! X0 E$ W/ C
if(trust-value > trade-trust-value)
' X4 W$ l4 x$ E7 g# p[set trust-ok true]- M4 [: ?5 n7 h7 P) u+ ?$ z
end
8 I; o) B6 L0 ?" x, c) K |4 y; v' H6 x7 N+ @% U& d
to get-global-proportion
! X/ ], C# J( P- u. uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* S8 _: F: r' u4 ]% C
[set global-proportion 0]
" y5 ~/ K2 S7 s$ ]8 J$ Y[let i 0
3 \: C9 p) p( Qlet sum-money 0
) s+ m7 Y6 \ A- Y+ B& iwhile[ i < people]
8 ^2 {+ O; P* S, x3 f. o# r" q[
; i. K3 ]& q; a. ~if( length (item i
" }5 M! T9 j+ v7 Z* b( T[trade-record-all] of customer) > 3 )% V7 |! E, h6 t) r" c" t* v9 `
[% G% R! ^9 H( N, J5 }% O7 L
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
: A9 P: f8 o$ {! V) C]
; I9 `8 Q3 |$ ^6 z. \]
' P9 O: F! R- [' wlet j 04 q# z& w o5 Z# ]. i# f# f1 d; v
let note 08 D) o: H; Z" n' g! h4 ?+ j
while[ j < people]- ^" @: a9 a5 a- T
[
: p, H$ H8 J' g2 l2 s" F. ]if( length (item i
% U* `" d8 U, b3 P- ]; I+ n3 c[trade-record-all] of customer) > 3 ) _, |2 ?. h. n/ ~
[) C x+ j- H! I4 x2 a$ N3 D
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
9 T% {2 ]6 B, t/ Z) H. x( r0 v[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]1 E2 O) a0 P, W0 p& v8 u
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)], z4 ]5 v5 s8 o! j( y, O/ {
]
: I, j& G! f# \]/ Z: I, J% Y; H0 F1 a. J5 A
set global-proportion note
0 G- _' H& @( @]$ X9 S* x; l0 Y% {1 N
end5 W+ `! y8 K7 A4 R0 Z; w/ ?
% z2 m& j5 H. q" `7 S9 r# i! K0 e
to do-trade
3 i4 u u- S( [+ W' }$ M5 N4 c7 d;;这个过程实际上是给双方作出评价的过程
2 A5 A& j2 ?- `2 Wset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
; G! v8 g% X+ V" s7 j' c* y- L0 F1 r- Oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价: \. L' y; Z2 L- Q2 g
set trade-record-current lput(timer) trade-record-current
" E& j( B! m3 _: [) k;;评价时间
7 X4 \$ b6 m; x9 Y6 y5 t0 Kask myself [$ o/ M. j i% j- D1 v1 {7 A5 t
update-local-reputation1 ^) O/ I# @" H1 c
set trade-record-current lput([local-reputation] of myself) trade-record-current
* n, p* i$ F# H0 }6 B8 a+ K+ ^6 j]
+ r; j1 K. i$ A7 A; n! u9 z3 jset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself6 F; R' l- S" P
;;将此次交易的记录加入到trade-record-one中
F* Z+ D r+ w8 h9 q& G4 fset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# C, [) P4 Q% ~( N8 D
let note (item 2 trade-record-current )
* v) O0 F- a+ q$ s' |$ M) [# zset trade-record-current
; B8 O! i* m5 Q" f. n) M+ ?3 N7 G; f(replace-item 2 trade-record-current (item 3 trade-record-current))
8 v2 C4 ^7 Q6 N$ S8 I$ g' L \set trade-record-current5 ]! I+ K8 K" M" H2 D8 H G
(replace-item 3 trade-record-current note)
2 [" W8 o* |" z3 h! M% p9 {) E# M/ w# M x) Y, @1 b
) b/ E/ x+ @* _; q5 E u2 zask customer [/ M, Q( ]6 _( t+ ]7 G
update-local-reputation
# T1 C# Z) ?0 A) p7 i1 eset trade-record-current1 t+ Q4 L0 |' h, n8 S/ N8 {
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
/ [: Z4 f/ U9 t6 v: d1 d]
: x! h% E6 M9 {1 P* x: [: C1 d, F8 {# Y0 Z7 @6 H# M
: R- A; d8 }7 T& L8 Pset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
( d4 C5 v0 r2 a3 o: k
+ c8 \; \6 v& M8 X7 ?% ?set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))7 \9 }( l- e- a. z
;;将此次交易的记录加入到customer的trade-record-all中
6 c- Y# w/ E7 i+ \' _end% m+ m' o& h- E8 L7 X4 W
% b% F! j; U: e) [to update-local-reputation
: H* w& v" ^1 e5 c! Z3 {1 rset [trade-record-one-len] of myself length [trade-record-one] of myself' B' b9 @) ?, n* m
) b. d' g y. h8 x b# Q) b) g e4 _) C. n2 |
;;if [trade-record-one-len] of myself > 3 $ K F0 S' [4 R: i Y
update-neighbor-total
9 O! G$ {9 z) q8 ~0 M;;更新邻居节点的数目,在此进行4 v% j( I7 f: f9 n
let i 3
( a4 ?8 F( f1 b, B. ?8 Rlet sum-time 0
& _5 S5 J! w) O* _+ Y @while[i < [trade-record-one-len] of myself]% v# v% J0 Q: V& e; W
[
, k7 ?, X% `! c' j+ O$ o Oset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
3 q! ?. g. f% y* Yset i
9 P& H: ?+ `- b8 |( i + 1)
4 P) n" ?# V; |& K3 \]
3 S: W( v) X$ W- }' Flet j 3
' N0 x$ E! F: |# R6 }$ q. I% `let sum-money 0
2 w9 l; u" u6 `3 U- R$ Uwhile[j < [trade-record-one-len] of myself]
: n+ O) h; {4 ]; u2 q. Q/ \" _[
" T7 }/ C. u* r3 v1 \6 A2 R1 cset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)8 b6 D. }1 J: ~3 k: q5 A+ e
set j
3 i, |0 L0 f# R; _( j + 1)7 l ?, L2 o$ B, l/ q2 j
]
# O4 J/ W( c1 j( |0 z& Olet k 3
% o; ~8 I# [% H$ V* i; X5 F$ ?let power 0
, [) V! r R8 w0 O+ B) Zlet local 0
0 E# j& V* y6 V6 Q5 Kwhile [k <[trade-record-one-len] of myself]
4 U3 O2 r7 L! I5 K% d; `1 t( W. ^[
9 a% F9 ^, k5 c" E# nset 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) , _+ j6 j+ Y( G; S7 D% Z) q) J
set k (k + 1)" \0 Y" N" }1 C, ^+ D5 i) P' g
]6 D/ O3 G' O" K' O
set [local-reputation] of myself (local)
r( C% c: H( ?/ Send+ C& q1 t X* i7 e" n' w
7 e& c) Q1 j; F9 H/ W
to update-neighbor-total) ^, _3 [1 w/ q/ _1 D4 u
8 S g6 U# B' @9 K5 ^% Y- P
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]6 n' c2 p# j% V9 `# c0 e
' _" p, K' d# s) S; B
2 _9 {9 G2 }( |end! B& @0 P" ]* B
0 Z, K# D, C( K7 p+ `7 j X) d
to update-credibility-ijl
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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。0 I ?# e; m9 p
let l 0
7 u% v! D3 P4 m9 k' Qwhile[ l < people ]# Z4 R- ?; C$ s6 o
;;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)# k( `& O. }8 M& f# ?2 M
if (trade-record-one-j-l-len > 3)6 ]3 w* Z) D) {) ]9 W
[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. m# U0 l! _2 x/ l; Z0 H2 R
let i 3
; E$ m$ _) V4 N! H) Nlet sum-time 0
5 f6 u) q# X( S8 g! Bwhile[i < trade-record-one-len]
& L; {( g. w$ N& Q! `; O[3 c! Y3 Q9 P" N+ n+ i/ I
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )! y, B. j2 v+ l/ g: z# n
set i7 u3 ^& \! L' x" T7 N) m) L
( i + 1). P" ~4 ]- A: q' F+ a/ \
]
$ K) M$ V U% E* T6 \let credibility-i-j-l 0
3 Y- Y( p) t) @6 z+ A: V8 [;;i评价(j对jl的评价)
3 u0 S- @- m, N, c& p# K$ \let j 3
4 F) Y( Q$ n* j" r" I8 }: x$ jlet k 4
1 C7 M' E/ l7 H, {2 n9 X. hwhile[j < trade-record-one-len]3 z2 c2 d `2 @1 A) e
[* u! |2 f1 W, b: M9 C
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, |8 O6 Y3 j. F4 h
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)
/ y$ H; a5 t. p8 g3 c+ p7 sset j7 P# q, c. ~6 n& Y9 L
( j + 1)
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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 ))
5 z2 ?; Q |9 p9 l6 l4 _+ e
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9 ?- o; {0 f/ _3 c7 E: Xlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))' M$ m: `. t0 R* w U
;;及时更新i对l的评价质量的评价6 ~. [1 l) Y, p+ o1 v, O
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ], ?; F. x# a% m% q% C$ w8 H5 o" t
set l (l + 1)
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( u |( t" z+ d, k4 B2 E& R& ~end
+ c. M; z* b3 ?) p9 H2 ^
( E% [4 p: C0 D+ [9 q/ n% S1 wto update-credibility-list
3 j% q' ?4 V. Y1 f9 Nlet i 0
& ?0 C8 Q( @ u) ^/ Z! y! Cwhile[i < people]9 o$ G' @+ R0 Z, @/ M1 M/ p
[
1 n* u: H+ o. e- ^let j 0
. y2 z4 o, ~ o/ u zlet note 0, D8 M8 Z1 x6 S
let k 0
. x* `! M( r& b3 v. E3 S( |;;计作出过评价的邻居节点的数目
+ x- J4 M- ?2 H% D2 ?while[j < people]
& n5 w k: N( W! [/ }4 b! \6 p[
. l7 ?* j% v/ N' |5 Z0 L+ ^if (item j( [credibility] of turtle (i + 1)) != -1)
e) i$ n1 e. @" Z' k& h;;判断是否给本turtle的评价质量做出过评价的节点9 Y" x/ O: j- P' x7 f/ h
[set note (note + item j ([credibility]of turtle (i + 1)))1 P6 A: Q% `1 K2 j
;;*(exp (-(people - 2)))/(people - 2))]* |- d5 Q, E8 w7 `# E5 o' O$ }) V
set k (k + 1)# v1 X4 Y4 q$ r
]8 ]3 |0 \0 F% V+ X
set j (j + 1)
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4 E) W# Y4 R0 l" ]" T% Lset note (note *(exp (- (1 / k)))/ k)1 V5 D v" f, r2 L+ ]8 U# @" T2 p
set credibility-list (replace-item i credibility-list note)/ |$ P) K. ^9 K z8 X8 b; J- e
set i (i + 1)
$ e4 @8 T/ N+ b6 U8 G2 ~+ T( []3 F" l- O. i% S$ j
end) C) R, T, n3 d" K& V8 d. d9 G2 S2 g
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to update-global-reputation-list ^" C( F( ]! _6 m. y
let j 0
# I8 ^: ~8 e* cwhile[j < people]
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9 Y7 p- d: j4 z6 T# K) F/ ?let new 0
3 n: F/ x; d. V _* ]9 C;;暂存新的一个全局声誉1 o' i* `9 U. p$ [0 b" ?) |
let i 0$ {" B" q, K( }3 M7 ]1 Y0 i
let sum-money 0- K, E& C" p7 G2 ?; h8 }
let credibility-money 0
* ?1 u5 {1 R; [4 x2 D4 o Wwhile [i < people]* c j: v% A! n) s: k4 i
[
. Q6 G% d, o1 b4 Q! ]: \) q! |set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
9 U" U* Y y% v9 `set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
. \% v1 h$ {6 g% t3 bset i (i + 1)
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, r. I! ^; v& w5 A. Blet k 0
" b* ] U0 a4 F" D5 Q& C" C; m- elet new1 0
0 o' B* ~, D% v9 _% D- M. d* Fwhile [k < people]
5 h( f; j- Z# j6 f6 |2 y[
3 @* t+ L/ ]; S; @/ |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)
' \& q4 `- a0 @" e1 l8 F% `" ?set k (k + 1)& K+ ?9 f/ ]+ V% v, e7 a0 a7 D
]% f0 D9 X# E9 `7 A7 p% ^4 x
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 2 B8 B* K$ c K. f
set global-reputation-list (replace-item j global-reputation-list new)
8 Y+ p$ c; C7 y3 l5 l! {! xset j (j + 1)1 @5 n3 S$ _7 i4 E2 f
]! T; B1 P* D" Y4 X! b' C5 m% S
end
S( e0 \% ?0 S2 ^) H ]( m+ g' G
5 A* @) v, X1 Y6 b B ~* i9 N* e7 ]
9 y: j; C) s5 E3 sto get-color& s8 i% R) L; M* m8 X+ h
) \; g; Z. e1 K5 x6 Tset color blue! i2 e" |) U: M% |9 Y4 ^; M
end5 i) f; @0 h7 l# z
8 W4 j& s% r0 w& z z0 l1 tto poll-class
* {9 y z% M0 k7 I/ R) rend# x) R H3 I# J) u5 r
6 J8 [% e% y& D3 M$ {$ J2 Gto setup-plot1- [) Y* o6 u2 W5 T* ~
6 [8 I, p$ A7 c7 c2 y1 N9 H( d, v
set-current-plot "Trends-of-Local-reputation"
1 ^7 p) P) c. q* T' g( ?; U E/ s" }8 l1 R6 W* z6 ]
set-plot-x-range 0 xmax% W7 N- B4 h$ w2 f" l3 `
# z4 L. @/ y$ }- w! {. mset-plot-y-range 0.0 ymax! M! ~" j# a3 o7 E3 Y F# \
end$ g3 D/ v4 u8 v& Y2 l) k8 |' c, J% N. E
; i& ^1 s/ X/ {9 m1 Qto setup-plot21 Z% l; X* ` T/ e8 H8 t
& s; l! R8 Q+ O, c& H
set-current-plot "Trends-of-global-reputation"
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set-plot-x-range 0 xmax
6 p9 D9 o0 Y, o
' j, S/ W3 ^0 `. g* Zset-plot-y-range 0.0 ymax# K) ~0 s: O. ^+ M6 Q3 H- J, x7 y
end" K8 R( n$ W+ {
4 Z: ?& Z# k7 ?/ }" o/ a: p" L
to setup-plot3
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set-current-plot "Trends-of-credibility", H! x/ {( f1 \# \
' N& J8 g/ k- Yset-plot-x-range 0 xmax% m+ X4 a. y! O' v' s
( Q- I d8 E" N: bset-plot-y-range 0.0 ymax
1 z, A8 |* f1 D [% R3 s+ T. N: { R+ yend
/ k p+ M5 _ n4 _" D3 j: B0 x+ T( O) {1 G9 h9 M
to do-plots/ k% _4 T; P9 r
set-current-plot "Trends-of-Local-reputation"6 V" ?2 v- `& Q/ |
set-current-plot-pen "Honest service"
/ ]; G4 P9 r: b _end
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7 _ s' z5 o1 F5 q& X[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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