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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
6 I/ k( f' q8 }' K# T) Bglobals[
& H5 w2 r- z& Dxmax5 m9 \9 m+ A1 q9 m# O# G8 P
ymax
; f5 p, v2 [& V6 m& F r1 x8 U. eglobal-reputation-list5 |9 [* R Z" L: Y+ m- C9 O9 P" b
6 R2 n% E/ ?. t D;;每一个turtle的全局声誉都存在此LIST中: d; E+ ~ k6 r2 L. N6 F- w
credibility-list
) R- S9 w7 o- q0 x% W& W;;每一个turtle的评价可信度- K/ e |) d0 x
honest-service
% V6 d% F5 T, J0 R% Q! m% K, Runhonest-service S/ m& n% f9 u, V9 F Z U2 f
oscillation
' t% w2 \3 P" {9 drand-dynamic
# [! m2 T4 g: z) @. x, I) U! S]- Q3 G9 Y& A" F, H& C' \* i
: Z, Q: a+ p& C8 x$ p0 `& r
turtles-own[% G* Y# B8 f' ~( ?* w: s
trade-record-all0 e+ |, s, I m0 S
;;a list of lists,由trade-record-one组成, ?' i3 v6 H. d4 V
trade-record-one0 J6 Y# K) T1 z) {6 s& T1 C8 X7 Y
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
, x9 v( @# {! W9 X; \ H1 ?) x5 C9 q& P7 G3 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]]7 p7 t7 G" W4 D: e- M
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]0 S% @# d8 Q1 b# q4 t3 [) u6 O
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
) C. ?/ G* \2 u- |' H, Wneighbor-total* X, V2 T6 |+ Z. k' t. V
;;记录该turtle的邻居节点的数目0 h9 |( _& _5 H
trade-time
) P( j- q. S$ Z" z- x;;当前发生交易的turtle的交易时间# I9 N9 E: Y; L
appraise-give
- o0 l) r2 c8 \7 C( |;;当前发生交易时给出的评价
- ^9 n' t: H6 f7 [. Lappraise-receive# ~9 l: T5 p, c6 Y
;;当前发生交易时收到的评价
0 E+ G5 o6 ^4 ^' y- O0 Pappraise-time
9 S/ j7 N( T4 |. Y/ R$ e" ~; F( V;;当前发生交易时的评价时间
8 x I+ [% N* V" B, { q6 j9 D% llocal-reputation-now;;此次交易后相对于对方turtle的局部声誉6 t3 n& o4 e J1 Q
trade-times-total6 x6 ?. ^* P% p; R% p
;;与当前turtle的交易总次数8 q( X2 f4 |! [1 i8 s) x9 b2 [0 F3 _
trade-money-total
* S9 `- b" V+ X- X. h! V" ]" U;;与当前turtle的交易总金额
1 j) [, Q" r/ w! K3 @1 Y Vlocal-reputation1 ~( t0 Y4 s3 i1 Z3 H
global-reputation% V Z$ Z `; p* |& ^
credibility
) X i; ~4 s- O7 a8 ]/ q) D- D;;评价可信度,每次交易后都需要更新
; Q' ^! t5 L' e+ h& @credibility-all
0 f( V& r) e! w: [+ k1 V4 L;;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
/ N# j# d6 O5 {' _) U. V4 r
" R2 ^: d# M& V6 d;;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0.53 G5 P( e' ^1 J ]+ E
credibility-one3 Q, a2 {4 U- N. v% a1 g
;;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- j# R" A- S+ h2 s. t' V# X0 A
global-proportion
* O# q ?: h$ S3 k4 Lcustomer
3 P$ p! G" Q- scustomer-no
. P) Z2 {) P1 \0 jtrust-ok
$ \( e9 X2 f8 z7 n* {trade-record-one-len;;trade-record-one的长度
/ I) U' d5 h. l9 ]]9 A' T& r5 u4 F( k; ]8 Q( k7 S+ y
9 r x! v8 u: h- I: U;;setup procedure% f- x: `. L) x& G5 U8 Z3 K
1 O# T9 y' C5 s& b% s% rto setup
( V8 N$ e( X# L- }0 n3 X; }8 l4 T5 w5 J2 R/ a) m5 F7 w* e* @2 W
ca
# Y+ @; G3 f+ i* g
$ ?; ^/ S9 m+ I6 binitialize-settings
0 B1 K/ X/ H9 Z ^7 Q1 ~4 N5 n0 j- }8 @0 A& O9 q0 @8 A
crt people [setup-turtles]* _( [6 _% `8 \" k- A/ q( Q a( h. Q
I4 z* a0 Y" O i( mreset-timer9 Y. ` N: m0 ~7 z2 M) ?$ y
+ j$ G+ [) E) g
poll-class# A$ G) P% {; R
" k" O$ t( X6 a' ksetup-plots* R: n' O5 {/ g9 ^
& j' ~ U( K0 I) o+ J
do-plots
0 p& }3 h3 ~# xend
' `# z) q1 k! g2 |0 ^
& n. y. X, z( Sto initialize-settings U5 n) Z$ E9 O) L3 z+ T* Z
8 M `' l% ]! s$ I4 _1 cset global-reputation-list []
* }; e+ |) b$ u) f8 X
0 {5 o5 r0 m6 m3 `set credibility-list n-values people [0.5]$ I$ M. @$ c' h Q: C
X+ i) N2 G# F" j6 U+ Qset honest-service 0
9 m; L) u$ c1 x y- y: R- S ?8 U+ l1 m' @' d5 x" c$ Z. B( X" _
set unhonest-service 0% a S! f$ M3 k
8 n( n% X% ?) Aset oscillation 0
/ o5 {/ B8 ~, X: e. \" `( a
% c6 o0 s9 ]" A1 Aset rand-dynamic 0
" {8 A$ ?6 z7 H. ^end
( ]7 J7 p, ]* @& v! s/ u4 P3 Y* S; G; V/ S& I0 d) T p2 u' l# G
to setup-turtles
. p4 G- C4 L6 ^ @$ kset shape "person"
. J. D: I- Y* {setxy random-xcor random-ycor
T6 u8 [7 c0 G; r/ J6 W0 @set trade-record-one []
2 k0 Y6 i) l0 a& g+ t+ L5 T+ S; K% y3 R+ z/ L, t5 W
set trade-record-all n-values people [(list (? + 1) 0 0)]
& o+ V0 d$ E9 q7 D4 o' B4 B! W, l7 Z9 H1 e5 [! b, m% E
set trade-record-current []* H/ p" E! r, [% U: I' t
set credibility-receive []
2 r7 ?& N0 x, f: Hset local-reputation 0.5
7 B1 ~5 a z; H( a% b" tset neighbor-total 0
) C2 U' h3 U# Iset trade-times-total 0
* o4 V q+ `" |7 K/ `4 g! Xset trade-money-total 00 E: ?2 w- u8 W4 B* o
set customer nobody7 \; ?! @1 S& f1 {4 T" M1 N, n2 w ]! C
set credibility-all n-values people [creat-credibility]
, T, B, a+ y( Gset credibility n-values people [-1]$ }+ e% w' w: \
get-color
) u5 c3 I. ]; a6 Z2 ` c% u: A
+ w- n( A: V% ]. i. rend
; V4 A5 f$ G( }7 t$ m. m5 m% E
/ z f1 X0 a; @5 j0 B h( ito-report creat-credibility: a% T# `) n4 c
report n-values people [0.5]/ e+ Q3 {, d; f$ u) ]
end
1 P3 M& ~- T- b q: L( g- D. {( y% T( X6 w
to setup-plots
% S2 J3 {$ o+ \/ J. H d6 Y* N6 q
w/ [9 A U; J2 k8 ]8 _8 S$ D! f$ Eset xmax 30+ B2 k5 T7 w3 T
4 A: t) J8 F7 W" X/ v- Yset ymax 1.0
7 K' Q; ~( B `, L" w" q! w: O6 n3 F9 |3 F$ [0 X$ t0 I; g
clear-all-plots
1 v3 N; G. `, W! |' l: {/ W( Z' f* g3 Z/ }9 B- e# R. C1 p2 t
setup-plot1& m4 }$ p# W6 Q* I6 }
4 p9 ]* j F! O& B: e. p* D0 Z9 V
setup-plot2
3 L# P7 v7 ?5 H3 }( Y' F# s8 C0 [. c H$ u3 [
setup-plot3* I4 Z3 K, o2 i6 h r5 W
end
- a' L: V9 k0 Z8 b M6 q. z
7 z" A& Y4 j. T' f% |' g8 P;;run time procedures* e7 {1 C& y y1 e/ N
2 v4 F6 J7 E2 R, H: vto go5 l+ t( A( ~' A- S
: y8 e1 Y7 r: N! ]3 a+ U" l
ask turtles [do-business]
3 a2 x k, D' ^7 g9 Z; H iend; G# p& G. @5 n* }, Y; E. E- M( v
% m" O6 W, c |+ f
to do-business
: u; u' n2 B7 ?
Z3 P j" w# A4 C9 R* A: T. J# ]" ~' c5 }, m# j0 P/ K( O
rt random 360
, j' C- l; f8 Z" _; q" P+ y
5 n( B6 S; j& `, O3 Q% \: P9 P6 Jfd 1
" R$ _; Q! N3 o7 R$ U6 ?9 }
" s6 }6 N2 D: Z2 S" x: wifelse(other turtles-here != nobody)[
" L6 c% p, Y& S- s
& Y+ q% |. F) uset customer one-of other turtles-here
' c1 i$ L6 d1 I' y3 c8 S& Y/ i
;; set [customer] of customer myself4 p, {/ \& ~7 F, p3 }0 h
. B# a6 M6 j# M- \3 pset [trade-record-one] of self item (([who] of customer) - 1)) s0 v) [+ q" @4 b( t# C
[trade-record-all]of self
. x2 H( U' Y& ^) r! F;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self3 r$ ~: s$ s6 l5 \2 z
) B. X2 L4 ~9 G2 p: G3 f6 G* Q
set [trade-record-one] of customer item (([who] of self) - 1): @0 O+ T, l/ B2 [. [$ a4 k) Q
[trade-record-all]of customer# k# a* c5 t9 _0 ~
, E) R9 T8 i. y1 `
set [trade-record-one-len] of self length [trade-record-one] of self' t/ m/ j5 t0 {5 D/ D
3 U3 s' D, q1 @0 _4 ~3 R. |/ k% \set trade-record-current( list (timer) (random money-upper-limit))
7 p) k3 t9 _# O$ R
. v$ q9 K! G' b; R% cask self [do-trust]
6 M r4 K/ N0 x- c! ]6 q; \" e;;先求i对j的信任度
, U$ g2 P# t8 e) A- @
$ U/ A; d2 B1 G6 h6 Eif ([trust-ok] of self)) i a# H6 c; I/ ~; h
;;根据i对j的信任度来决定是否与j进行交易[) H; Q; p7 P5 g8 s. H# S% e! {
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
* m0 x6 v3 M2 O& o, Q2 N/ S5 K' d8 t1 D, a# K
[
9 @: X) ?5 B H! m8 e) C
$ z3 ?* E+ e; ]( Hdo-trade
; a' q& [. L/ y {+ _, p, ^
% E; e1 G% }: _& [! Z }! T, ?update-credibility-ijl1 I/ G+ ~% E) |# n& F, t. P* M
7 x, \7 K6 E. Q# J
update-credibility-list2 X+ f6 d' r$ f1 R4 p i; O/ A, U
! Z- B6 `2 W2 U* a$ H7 q# e
R! t H6 v! h) O8 ]: Lupdate-global-reputation-list
8 F! o- }7 W7 k4 J1 m
+ V b' {/ p. ^poll-class
5 N; n! g7 S, b# I# b+ D5 g3 E: Q) D5 m/ z* T
get-color4 P o* e' _5 n: W% s9 U. ^" o
* }4 b! p* O( f) ^]]: N/ b. X& d0 s& e3 [0 f' V- Q
4 L' x( A$ x$ n' H( ~ Z! _) ~
;;如果所得的信任度满足条件,则进行交易+ J7 ?; r- q6 G' X$ G
6 J! m; j" M `+ V# b[8 q6 @; w$ Y8 F( O
% g7 J6 s. k5 e/ ^3 A/ h P
rt random 360
) Y. l2 F( d+ m! E" `2 u( j' u
" i$ `4 t, V* {, Z5 yfd 18 S% r2 n K+ i' Z
/ R: n) y* v- D2 S- U]$ t% f: r; b4 `& M
5 H! K. \: X6 V$ N. T9 kend8 \. w: U" r3 F/ ]# U/ j9 Y+ @+ e
' x' o: ]: K* N+ N$ R% u4 M B
to do-trust
( q8 o. Q' B+ @" ?. C5 Zset trust-ok False! A3 c2 M' i: Y4 w, F+ K8 ]# j
4 p) q' p2 A3 G2 e0 X+ ^0 V- Q$ f" K4 Z) q
let max-trade-times 0
9 g# t6 j* D9 K" t" Q; Gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
G W* m# U! h0 flet max-trade-money 0, r9 w, G7 P% ]2 ^
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] S% t5 v+ h( k3 h" ]( U% U
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))& ?5 B3 E* q# S% Y8 n, x
% i" |4 F$ D) M% v4 X
7 ]& L7 C& N+ @5 Vget-global-proportion
6 Q( Q# \ l2 llet trust-value7 e* b( S8 s) |# Y& ^2 ]
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)
& L( V/ c/ A1 C: E9 K: |if(trust-value > trade-trust-value)6 E; p2 w, c9 v0 U0 y, Q9 @
[set trust-ok true]) ~- T5 k0 g0 a
end' _9 I# m; L! R( B/ A- q& A- f
. t% e, R) x% l9 M0 U
to get-global-proportion
% w9 R* h5 Z }. y1 difelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
6 u U0 C& `" b7 F[set global-proportion 0]
' ]0 J* m7 B. B/ N" s- h[let i 0( e) M P2 a, }7 Y0 x
let sum-money 0
9 e* Z& [' O; D5 h$ lwhile[ i < people]7 E" h, V9 X7 J; U3 f+ f
[
6 I# Y: y% N9 [ Y9 Bif( length (item i& g9 h8 B2 a+ K I" w/ }; R, D3 N
[trade-record-all] of customer) > 3 )7 V: H( T8 f8 y+ R
[
1 f* _6 f6 H- \7 A- l3 y4 Tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))7 n: i0 z" _/ ~$ H5 o. ] x
]
$ _5 K9 D6 k/ _. G]' b, M) ~( H. \8 R4 l
let j 0
6 x0 _1 ]; y L3 R+ Y! Y2 y( blet note 0
) m% D1 f2 `) N% O6 B: L: i8 j4 Nwhile[ j < people]
, Z8 Q2 _! K) @0 v9 U) V[$ Q j! d( r4 }
if( length (item i
( Q/ N* U3 c- O- [& [" M# |" D[trade-record-all] of customer) > 3 )8 E7 W8 k* G' X% Q
[
& V6 C# Z4 x) }7 o: e+ I0 Fifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
+ P' x: _' Y( ]# _- ]( C" _! j3 [' v[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]. ~' p$ r" O6 o3 c) G9 v
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
6 Z0 Z. q- j: N5 n- y. B]
2 `; O* {1 T: \0 I; Q" p! J]/ w( @, `7 y i \
set global-proportion note! Y6 l0 A4 \: f( o
]
4 I8 R! i1 `+ }3 y" j8 U: w4 Dend
3 o5 Q `8 f4 @4 I+ p
: k& A% @1 P/ j9 }! ito do-trade
. |& A4 H0 `. a @;;这个过程实际上是给双方作出评价的过程
! p- N7 h# _3 a4 I; Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
# x$ H- L$ ^2 ~set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
* D+ @* z0 R0 W3 w$ `1 T$ b0 ~7 wset trade-record-current lput(timer) trade-record-current
. H! O2 N* r* } ]$ z/ ?# d;;评价时间
' J, x0 a4 G0 @ask myself [3 V1 I% e# ]% v( L% l: u
update-local-reputation
Y, i- ]2 W) y- Oset trade-record-current lput([local-reputation] of myself) trade-record-current* }5 t$ m' V2 [
]
5 K+ j( Y1 q7 X7 [9 yset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
: w6 y' R3 ^" J6 B5 _+ K9 q$ w+ p# r;;将此次交易的记录加入到trade-record-one中
$ [. o+ a; {- B+ X! ]0 Z- G4 \- dset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
" `( Y" B, [4 P5 d6 {4 Blet note (item 2 trade-record-current )
# e5 G1 x; I6 k+ V1 cset trade-record-current
( X1 k" t2 |. b* V9 F' G8 C+ v3 k, w(replace-item 2 trade-record-current (item 3 trade-record-current))) U8 J8 m( e1 ^% h8 B( j
set trade-record-current: ^9 q) r/ i+ p5 Y
(replace-item 3 trade-record-current note)( i7 Z# q5 v, B
" }, Q6 ]. B- g/ ^! B8 [8 v' u/ I& @
' d% A7 L# q# Y4 Fask customer [( p1 ^, ~- P- x
update-local-reputation* Z; r' ]0 t5 \: x* I
set trade-record-current7 F+ M" T: d2 s: B
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) % |) c* p" M% z5 N
]
" ~6 I- ]7 ~. E7 T6 g! [8 H+ M) h
8 t. E7 b/ d. m4 P/ dset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
. a9 K# {) t" t0 b( q0 {
p. p& F. x. ]! o; E6 ^3 s! Zset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
0 H9 t2 N/ O- k) a" E;;将此次交易的记录加入到customer的trade-record-all中
: r r3 g7 Z1 K l) b2 B4 N! wend
( x" W/ Q2 K3 ?) \. D8 j
3 B# Q/ Y5 G8 C" hto update-local-reputation
. I) \; _3 ^' d5 p# n% E! iset [trade-record-one-len] of myself length [trade-record-one] of myself) H0 d, @! r# I/ m, O
A# t' X4 w ?0 P; ^4 o6 b4 _5 i
4 C: ?. m7 r1 g( N;;if [trade-record-one-len] of myself > 3
' {1 \* m9 f( V2 i3 \! fupdate-neighbor-total
+ M( X9 z! M2 D4 F# f0 [;;更新邻居节点的数目,在此进行
z6 ?$ h+ j0 Z1 d) dlet i 3
7 m6 V0 C+ _ q; P$ hlet sum-time 0
* y$ p3 Y# _8 B. g4 Z( i: fwhile[i < [trade-record-one-len] of myself]. L7 i" |; Y! F
[
- ?+ p8 e2 Z7 N) n- ]set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
) X- p+ v Q: f) D9 W4 k3 uset i( J9 ?) L, p% F Q0 n5 O
( i + 1)
1 Q7 |# u- g$ a* Y/ k% v] P8 @ R) @6 g! {# b* u6 F0 A
let j 3
: H3 L0 y8 Q+ Y+ m2 C# _1 Hlet sum-money 0
& p" K+ D) o6 z1 k! J% hwhile[j < [trade-record-one-len] of myself]5 t1 T( t7 {5 I& \) I: J% b
[
8 d3 x" _: Z+ F, f& \( E- oset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
. a) T1 {2 ]% ~* z/ K& yset j
! `2 W% L, Q* V+ t( j + 1)* x3 A- s/ @3 Z6 u' u* h# i
]& ^" h# u% |. _4 q, j# F0 n
let k 3
" s; i1 Z$ D" H6 Z: Alet power 0 }! a) p. k* k
let local 0) h8 g: \ K9 R7 ]( A7 Q u
while [k <[trade-record-one-len] of myself]
0 H4 l: g7 P& d0 y* o[5 i$ J9 ~( K1 H
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) {) J- K- S/ \1 d1 V
set k (k + 1)# l4 q1 F7 |4 W
]
4 R5 ]* q4 g8 @! t# K- ^8 G# Y$ lset [local-reputation] of myself (local)
% a/ e* G& R7 W: H" ^4 gend
$ S" }/ B* n# X% A9 f
$ |0 d- O3 w% r4 g$ Ato update-neighbor-total
: ?3 I' X" \' D" V2 s2 y$ E [7 g$ C
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
) Z( i* n- t' D8 G8 j
) P9 ~. [1 v+ }5 Y0 I# T6 K$ X& R4 v" \! R
end% b; ?6 a& y+ z4 v' E" e
/ z: F; h( ?: O! v# _% O- r
to update-credibility-ijl - d @' S+ h' G8 i
. E3 b2 u5 ]( @5 b) D
;;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。7 Z, Y' _; g3 G. o
let l 09 {& n0 q M2 V) f1 |% v
while[ l < people ]+ g- r/ V' K- Q6 a8 r
;;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
9 G) i* c% k+ M, R[
% Y# U# V; g x" F# Rlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)) R1 s" @! j9 [! j5 g
if (trade-record-one-j-l-len > 3)9 E+ Z; |& ~. O3 D3 c8 R9 R* k# r
[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, m6 ?/ h1 R5 Y) ~2 E8 n7 |4 Q
let i 3* Z) ~ Z8 n2 \/ A. c3 M0 j
let sum-time 0$ r' M+ ? {; o
while[i < trade-record-one-len]) H/ X L. t& Q# S3 i ?; z2 s
[
' {# Y4 D2 D( |1 F$ pset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( u& G1 M' \/ H7 R" U# b- B; |# N# V7 Wset i
/ Z$ M8 Y1 J/ ?) L* D( i + 1)7 y# G" D7 z' N. y, n, A
]
9 ]: W9 c% K. d( a$ ^( r* Clet credibility-i-j-l 0
# H1 m6 R* j" i& V, \+ D2 \;;i评价(j对jl的评价)
! n$ ? C5 F- n: `6 ?7 { ]/ O5 r/ hlet j 3
9 R% \4 y9 Y) v0 klet k 4$ c) a4 w- Z# }2 H: t
while[j < trade-record-one-len]
/ z) `: j6 E! U% J' S; x1 g[
* f+ K$ e$ R3 G. g& M0 |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
& } V2 T! [3 K& nset 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)
5 p3 _5 p& G8 b- vset j
) u6 r2 A+ i5 V. B6 `( j + 1)
+ ^/ f/ d3 x. V+ J/ E2 D]8 d3 E7 f' ]9 |( F6 |$ b4 Z
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 n, u. S+ l) `- V P, `: W2 J& _) `; J: h
8 x( f. N5 U. rlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
1 n2 t( o- L2 |- p/ ?2 n1 M, p- L;;及时更新i对l的评价质量的评价% b' O6 j3 ] q, q5 u$ J. B, U
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]4 `% G# \% J1 f Q; A, q5 Y
set l (l + 1)
* a. S; p8 g* `]- j! H1 @3 X/ y5 L( W4 J9 ?
end0 J B4 M6 d8 V9 r
" P9 Z; ?; n5 M( V, U0 `3 x$ {
to update-credibility-list
' l. P" C4 \* n& _6 Olet i 0
! a( k& m9 y Y+ Pwhile[i < people]
3 A# J! K6 e. y3 G; R[2 n& @' h8 X8 N# ~
let j 0* h# ]# R& g3 B+ H
let note 0$ f( u+ e" Y3 f$ o2 O/ i
let k 0
; J' [1 ~8 u8 F: U;;计作出过评价的邻居节点的数目) |( B+ t+ C- i
while[j < people]
3 m" x8 \3 z" v* F[* g6 i* M, R3 H# ^+ _6 n4 B1 g
if (item j( [credibility] of turtle (i + 1)) != -1)( r( i1 A" g/ g
;;判断是否给本turtle的评价质量做出过评价的节点
, M! }3 A: m* ^' \- i( |[set note (note + item j ([credibility]of turtle (i + 1)))! ]4 M# D- D+ H' \
;;*(exp (-(people - 2)))/(people - 2))]0 M7 ]9 W: F* v; ?, V* O
set k (k + 1)7 C$ }# `" p5 D' f( c
]
! ~7 \$ v! M$ P- { ~' f! t3 Xset j (j + 1)- \7 L1 k- U$ b! n# b
]$ H% D8 v8 f, l0 j0 J& d% _ h
set note (note *(exp (- (1 / k)))/ k)
% K6 |9 Y% V& z$ tset credibility-list (replace-item i credibility-list note)
/ M7 @! s) f% {6 ]' Aset i (i + 1)" R. C" z; N( c9 V0 R# {$ O5 z2 A
]
0 \8 _ j7 j, N, B7 Kend
- u, i( i8 X9 t4 e- W3 B' n3 i ~! S- z& F, d8 [3 a
to update-global-reputation-list' B* s5 i, G1 f. q* u+ R
let j 06 K0 b) R/ J$ Q% G9 t# l
while[j < people]' f6 Z! p) W9 |" ]1 G0 ^# w. S
[
- N J3 @( y0 Ilet new 08 e* W4 M$ e. J) O8 I, V- p6 D
;;暂存新的一个全局声誉* a, K5 }$ |8 F
let i 0/ K2 v/ j7 G$ r8 D3 |+ _
let sum-money 0
3 W6 \# F' G3 N- _let credibility-money 0; p# H; v L9 p/ X6 ]5 B
while [i < people]
/ {. t+ i7 W9 S: e: [[
4 E9 u8 K V2 Y" j& ~4 tset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))3 U/ f4 A* |; J% V7 A
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
$ }% w- V% O, i- z' N! F. [) mset i (i + 1)
) a. r8 y% U" y5 O) `: k. q]
) p3 N- W) ~9 c) I nlet k 0
# s9 f# s/ ]' A6 X4 rlet new1 0$ K1 s( y% `" l9 u; m0 `- `
while [k < people]
! G2 P4 s7 j$ K f; C[
/ F( p% _1 o$ `5 }$ a" ^. d3 j5 uset 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)
3 C. b7 P. P% j" eset k (k + 1)
% j9 z( a) g( b: }/ y]
. z* o8 t8 o `/ j- q8 F Hset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ; A9 ~) u0 l$ x! j) U3 L% `
set global-reputation-list (replace-item j global-reputation-list new)
, N& Y& V3 I5 \0 K; fset j (j + 1)- K& d6 q, [' L1 ^
]
) b$ M. U/ {: x* ?2 u# Xend
7 ^0 j) w* g0 F a0 z7 d, \
$ L+ u5 G @- J1 ^$ r; _; w9 q5 s9 W
5 X0 L0 U- h: s. B
9 l6 ]% r$ h# p% P. _to get-color
8 f# {, s* H4 e6 c* h
7 e; {" Z# ^, ?& U9 mset color blue3 F- {* Y% A7 Y2 s% ~8 i- G/ M9 X
end+ o, N" q+ m% A5 ^$ ]/ C
6 ? |4 K/ A, k6 n' Y% {/ eto poll-class( Y. C( ]7 _: V1 y: X) R
end
8 b; {& m* x, [% D7 j
$ B/ n" A( {& ]2 A7 uto setup-plot1
" c5 Y+ p* B2 S" w: i0 f6 n) \7 a8 X e2 V8 F
set-current-plot "Trends-of-Local-reputation"
. N# R& U2 H8 p) J8 k: T, |, f% X3 F6 Y9 M6 N E4 I3 ^5 F% r( m
set-plot-x-range 0 xmax
0 _0 j: M* y& h5 G
T- ]' B+ f% X* Oset-plot-y-range 0.0 ymax9 v. t0 A1 P0 {/ }) |
end
* Y. N- c5 A) W( R( Y) O$ ?
; \& k( ]# w, q8 s' e9 F$ eto setup-plot2
' S" Z& K5 m( F3 J$ R. Q3 K$ e
) v! U. o4 | T- A( D! [: qset-current-plot "Trends-of-global-reputation"/ n' Q. {+ M p+ h1 b' b
& i0 C# C: q" }. _3 vset-plot-x-range 0 xmax
5 i0 W2 ^5 I1 t/ R4 P4 }7 V* Z1 u* U3 q. M! Q
set-plot-y-range 0.0 ymax% `* v. k0 C1 [% {/ ?5 n" l# g/ t
end9 Q& B( s# n5 r- b- D4 m& f
' W X G: L- Ito setup-plot3
) y, ^. k- K0 J$ e6 G
, r8 \; i9 C9 K0 y$ q$ ]set-current-plot "Trends-of-credibility"7 s& O* R# ^0 q {+ x. d0 z
* y+ p: t3 C9 J$ J; w
set-plot-x-range 0 xmax
2 S: _+ [7 C7 l4 l4 p
! g6 i7 [: x; b' D% Jset-plot-y-range 0.0 ymax: l' G/ Q ?7 J# p9 O% y
end
1 _# X9 H7 l l# s, P; c9 e2 _% h$ z/ t" y1 U
to do-plots
& X, D6 y' P9 x0 e/ w1 ?5 r0 iset-current-plot "Trends-of-Local-reputation"
$ } t+ X) ~- A2 v, i) _0 Nset-current-plot-pen "Honest service"
6 J2 L6 g+ i3 z. Kend1 G: ?! t$ @/ u9 Q! B" n( B8 H
. s+ C( e8 w! X$ z[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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