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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7 A- j! [- P5 _8 U. l
globals[
2 l7 z0 P% F% v. b( Y8 Sxmax
. x+ V; [% B' m+ K! x I* |. Jymax
: q N; @6 g% j# |; \global-reputation-list4 q& O2 \" E% V$ H- @# W
- m& u3 M {0 t( T0 c/ C;;每一个turtle的全局声誉都存在此LIST中# J- Z( n6 g6 i+ ^/ F2 c, b
credibility-list
) G0 G7 l$ i+ a6 { _ h- Q. S;;每一个turtle的评价可信度
; M+ {% @. M9 Dhonest-service, K3 D* l8 L! i- O, F3 z
unhonest-service8 t! k7 `0 ^+ `& X8 R" e& M+ r
oscillation5 f1 ]8 k! R% A7 B& M
rand-dynamic
2 w: k# `5 |0 a4 B' Q]3 v- R. p+ Z* d. f# G; d+ a4 G
1 g/ E3 `! Z0 vturtles-own[- E% \: g% Y8 i
trade-record-all
9 V6 s, n2 I4 f; F* C* p0 O;;a list of lists,由trade-record-one组成
7 \1 C, O* P7 j! ~8 f strade-record-one
l) O& D: [: i j;;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 b2 `$ b1 I4 ]1 j, X& C: t
+ I" b# [+ i- j, w$ ^: f4 Q* E/ J;;[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]]' L; C' n. {5 I
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]4 P5 a5 H/ M' H8 E( F4 S0 T5 V: G; f; f
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
/ `$ b& b1 V& Uneighbor-total
0 F8 ~' g( L/ u5 }* Y5 e- S;;记录该turtle的邻居节点的数目8 W( q. `8 B" q: z; N$ m
trade-time$ j4 o+ R1 x$ b R$ L8 R6 z
;;当前发生交易的turtle的交易时间
- j0 W3 x) ?3 L5 c0 c3 `* w# \appraise-give* A [8 w; j5 O( o% d2 o3 x
;;当前发生交易时给出的评价$ p% m8 z: v0 B4 K: \! M
appraise-receive
- a* U* C2 h! e4 M2 I) B;;当前发生交易时收到的评价& g9 @: M N1 @8 j, k
appraise-time
/ {0 W. m) T# |3 n& B- Q+ T;;当前发生交易时的评价时间
4 U f! r- k& blocal-reputation-now;;此次交易后相对于对方turtle的局部声誉' |' G- a' W- Y3 H# K8 w: ^
trade-times-total
" I+ i0 K0 |, @0 H8 B4 j8 w0 O;;与当前turtle的交易总次数
! C9 ?+ y; z4 g2 D$ A& Z x0 z) n) n! W( }trade-money-total
; a" @& w @ m+ a. Y; `- @4 U;;与当前turtle的交易总金额+ M) X) {& _, q8 w
local-reputation7 x* z8 e$ _0 G3 r/ ^5 S8 K( P
global-reputation
; a3 M+ F2 f9 Dcredibility9 V. d* W6 L9 M" E
;;评价可信度,每次交易后都需要更新8 D7 A% q s; N9 \+ |2 m- |: `
credibility-all( G- z3 G; u7 c( T6 Z8 t
;;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$ T' L4 ~6 [4 a9 k' M
9 A% h, n. s- N& ]3 ^
;;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
' `6 S! w) k5 R) U" Wcredibility-one
( g1 |- L" F* k, z* o& p; z+ D;;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6 J }9 G0 V! d9 |
global-proportion
! j0 I0 w7 U5 V2 Jcustomer
* j0 |- k' @% V0 Ecustomer-no
, ]; P7 J: h* `trust-ok" s7 p7 }8 ^$ K [* X( \% C$ }3 s
trade-record-one-len;;trade-record-one的长度
$ i" Q+ r' D" f# b]( ]6 W0 q* p+ Y$ m/ |" b' W
: T, E. t$ c3 p;;setup procedure
3 T3 P, B$ \6 |; ]( P
3 D0 T& Z9 `4 u Gto setup
5 l* i: ~- D1 u4 |1 [
6 X7 f" p3 S( _: Tca z( M) `( U/ ]; `; L1 ?
0 m6 T' }6 B* I* B; P. yinitialize-settings) \4 }( E, F2 a' q5 i, M
% I) L& G2 I; H& b
crt people [setup-turtles]
& J7 [) g; E4 d6 O+ m" Y5 ?! Z" R% n1 O' @( i1 n" H
reset-timer
% C- J& K3 M8 _ n& J- F& H
* s. N- p) S8 l0 hpoll-class0 ~# ~( T- r5 @: [7 L% p
/ ~) w* _; ]2 G V! \5 m4 C" d% Q
setup-plots4 ]: `3 t8 v9 P7 m! T4 y
3 e# M. `3 Q# h% d9 M, o; ido-plots
$ o. Z( X- C9 P! {! J, u+ xend
$ Q( ]6 M( Y6 I4 p* r2 k* \7 f4 x( L4 M# ~
to initialize-settings8 j6 R& o7 w: K. d& m2 S6 q8 k
8 S' e; u* @# m7 c: ?! h9 \: b% Iset global-reputation-list []
+ f* d; x3 K( t; @3 Y/ j v' g p, a9 N3 n# @2 T U
set credibility-list n-values people [0.5]1 D- p' G9 b6 y( q
+ C! x1 [5 W Y3 u9 x
set honest-service 0% }+ B/ e6 i. V$ H! [( S8 C" }5 D% U, ^
% w" r* a$ H( Z& v3 ] U3 eset unhonest-service 0/ t* |) s8 y+ _
$ O: F( Q" t; m' {& m4 M0 P( Kset oscillation 0
+ N9 [" n# ]) V# v8 L* }' ]1 K- u, V7 e' B" W g$ w" I8 a
set rand-dynamic 0
) x9 h3 u3 D' p- eend
, h. @3 \$ X, _6 R1 f/ s, [
# ~3 L8 f& u: u5 d4 Q- O; Oto setup-turtles
' k6 n! _* I! s$ tset shape "person"7 ?. w( E3 b8 m a$ r7 e* q/ ~
setxy random-xcor random-ycor
( c5 r' @9 O7 }1 o$ V( fset trade-record-one []
# z# ]. | c: N, ~# s: V3 Y+ G" h7 z) Q$ Y
set trade-record-all n-values people [(list (? + 1) 0 0)] 2 A! A5 K. U L4 A0 y" B( l0 i
W+ k7 q! h2 kset trade-record-current []( E3 q" P& p- ~1 q! Q$ z
set credibility-receive []' @+ J2 ]$ U$ P0 R& M0 _ N2 `
set local-reputation 0.5
2 ~# P6 ~' i$ D h% [( l# @+ Z+ l! Yset neighbor-total 00 _& a' _8 h) f2 x+ p. q. @+ Y$ T
set trade-times-total 0
9 }; F+ V) O% ?$ s+ } Pset trade-money-total 0
5 w5 S* b) S% J$ W" J& U" iset customer nobody( {2 w2 Z' d$ p
set credibility-all n-values people [creat-credibility]$ {! }2 N$ x" S: i5 G
set credibility n-values people [-1]
5 W6 T$ O/ L6 C/ R& ~get-color
; e; X' `. J0 V, F$ F# h, P# ?# K0 P; J8 }$ l6 O, g, e
end
" I5 p6 K7 S' c; F
' Z& @' ~/ ~5 gto-report creat-credibility
7 l. F- H g' Hreport n-values people [0.5]
/ n! e5 o/ D' B! Cend
5 O# A! L6 g' Q: {8 N
5 F# s4 j) A6 `, M. K3 o" A5 Cto setup-plots
& _' _5 n: C9 n2 h c9 N3 k4 a; _: Q1 y) _6 M* K4 _' J$ m5 p
set xmax 30
6 X4 A5 b4 @0 j' I" {4 B! ]8 b* E# f- T/ L1 o* ^
set ymax 1.0
" o- q$ t* ?4 E4 g* k0 c" d5 J9 J# Q/ t% K- S# @( k
clear-all-plots
# b1 W' ?: \0 U/ e' y% L
. w* R$ y4 b' I5 a- A$ H) Usetup-plot1
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; h5 E2 f! k2 K! l- H, W9 ^setup-plot24 x* n% M; o2 {0 C
& x; R9 {! a! G; d
setup-plot3
% |9 {, S2 E1 fend
0 z. e+ k- g% E$ _2 y
, y7 X) N6 x$ o: m% f- Q: Z;;run time procedures. d. _ o! m* b8 J! E( g
6 M9 X$ O o: a3 `3 l( vto go9 N5 K! L7 c$ \* U% X6 W* n [ F
9 w, l4 P5 p& V! s( I
ask turtles [do-business]6 h+ y2 J/ ~ G; Q4 [
end3 m: C& H* H: M! p
7 ~9 X3 ?) ~ [7 q) |/ z9 vto do-business
/ B. z7 C% ~6 u4 d0 n
# T$ M7 s4 W3 O+ F4 k
/ |* E' W1 L5 \/ i) s" l% Jrt random 3601 O. y. X+ N( a
" _* C8 c* A" C6 L" ]( qfd 1
- ]5 O+ M0 [6 V+ M9 m
1 z2 K% D3 J2 H k* xifelse(other turtles-here != nobody)[
0 C: U" j$ B# S4 M5 i7 Z: w" t. \$ z8 n& \# d! w: A
set customer one-of other turtles-here; l7 f! h6 m+ N7 l, U
. `& M* z( Z, |4 s6 M) u n4 M
;; set [customer] of customer myself
; V* q% E9 \) j5 j
8 _# H7 i9 ~1 q4 bset [trade-record-one] of self item (([who] of customer) - 1)
- v4 @7 o$ I1 i! L o. A1 S[trade-record-all]of self
, p/ B0 J3 l# X9 V6 u0 C* m1 T( R;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self5 u0 R0 R5 B6 q$ s g
( n$ O6 Y/ N9 ]9 X. g2 Z1 ?- P" d3 b
set [trade-record-one] of customer item (([who] of self) - 1)
- p5 l4 A9 i0 y* S: w[trade-record-all]of customer
* h6 V) f- y- X
3 I- l6 Z: F* D. P, q! n6 Tset [trade-record-one-len] of self length [trade-record-one] of self
& i: [( y/ `: e1 H# u* y" t" e9 x; n* U( F4 u4 Q
set trade-record-current( list (timer) (random money-upper-limit))* s4 ^9 J& A3 P
+ w" ~: L; l7 \# Eask self [do-trust]
5 o6 y" I$ a! w+ i' N;;先求i对j的信任度: e* {# j8 y0 ^1 f3 U
# x7 ^1 O+ o. s, L# N* Aif ([trust-ok] of self)
_/ d8 G, b6 }2 I6 e6 @;;根据i对j的信任度来决定是否与j进行交易[! p# Y" a9 A2 _ Q) i
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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( S7 I; `. k: }$ i8 y[
+ p; v$ @, f8 _4 M/ ?5 L. m9 ~6 t* V0 n$ N' v" h1 P! {3 N R
do-trade1 e8 S% T- C: S9 u' Y6 K; a4 f
% I" b$ `2 k7 [% J
update-credibility-ijl! `. E9 r+ L: ]; e `3 C# }4 S
* @- ]* N4 a) z
update-credibility-list: {' ~' Y8 G0 c# ]9 d; K) u
/ E/ W4 k, M5 m5 f( b& h/ r
+ Y x+ X$ H3 b2 w6 g* h) {update-global-reputation-list, t2 t& N7 u& D' @
. b: n7 U' x, p' C/ V9 k$ N) g
poll-class1 I' X3 [$ U- `- j6 _- Y& d) w
7 _8 I- ]0 h3 `7 o o9 Vget-color2 z! x# z! C l' ?0 Q1 U3 l- c
1 |3 s5 t/ g: S
]]* P' d; K- I7 o. I w
. J* j' S+ [; M- l/ o* ^7 v
;;如果所得的信任度满足条件,则进行交易
. s( f, d' I/ G% _$ E& a3 t+ J! p) s8 Z% N8 A2 G. c: r9 u8 M
[0 |4 B6 S5 e' f% v/ x% w" d' K1 V: F. [
+ x5 D" s7 {# v7 E% X& k
rt random 360
7 Q# W9 E3 Y) m0 s6 l1 h6 U
5 v' _1 Y8 B3 p1 S) h/ ?fd 1
, ~5 g* \6 J+ U9 F% s" _" L. v! z$ o5 R
]- c' i$ o& E8 M" o' W+ \
/ H4 j! o7 \. E' s( i
end
; G# d7 l: l, s5 L& ~! X
7 @: i, B$ [" Y# P& ^- P- u4 h9 Qto do-trust ) l5 P- O- q; P, @* O! a: Q
set trust-ok False/ q" o/ K6 E% X3 H( M
: C$ A! E$ X' L/ W
. V0 N' f5 c. hlet max-trade-times 01 ^9 n. C0 x, H/ L6 j3 c. K) G
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]9 W6 U- M4 {) `* s( H
let max-trade-money 0
1 E; ]7 ?( H0 Vforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
' a8 x( i' Z, c% a3 T) jlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
4 u3 y6 ~* j, B# N( h& x& E5 e! f z7 N+ s+ i
% n+ E: _0 o( \; k( |
get-global-proportion
8 E/ k- y( p2 X5 t) Plet trust-value W8 i* }' F7 d# h/ B9 V( 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)
# Q+ F3 {/ H3 {% N. B+ }; ~if(trust-value > trade-trust-value)
+ O, ]" V) D& {( S& s0 t! J, Y/ X[set trust-ok true]
8 |0 e3 [2 i$ w# i8 f8 Mend: N; p, r7 M, O3 r6 @% W
4 [' u {. h/ a. ]
to get-global-proportion1 Z7 o$ o- A$ N; t/ X9 d+ ]
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)- r( N2 U* E n% \/ w6 c$ L- G
[set global-proportion 0]
* b4 t5 a" w' }- U: \ i[let i 0
, o$ L% ~/ ^$ z5 a1 U$ Ilet sum-money 0+ o# _6 e. O4 ^) d' C: \) n/ j
while[ i < people]6 q$ V! Z; q! F, m
[
- Y+ E, J; V& F" f9 X& B8 Gif( length (item i' Z6 T* i, y- b; e" O6 }
[trade-record-all] of customer) > 3 )
% j* D! {& Z. [* C) J[
I7 R; y0 D$ {8 }# Sset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
& m4 r* [8 s3 Y/ u) I. m- Q]! u$ h! ^$ O$ G1 W' C" |, y; x
]
4 j) G- ]% T7 s) q) e! zlet j 04 s$ F6 K, m$ {1 K& _
let note 0
1 S* a6 r) b5 r$ b% `while[ j < people]) f( k+ O- X1 h5 u
[
8 N3 C _" ?8 D3 k3 Y6 O0 kif( length (item i
8 Z% d, r* f! n" W* F[trade-record-all] of customer) > 3 ): ?8 V( G5 N5 h9 \
[
( Z7 u! @# {7 Z8 v+ N2 n7 k4 _ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
) A: a/ f" |# H* U' u9 _[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
+ H# z3 ?- f. M# p" s# u$ E! O2 z[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
o: H% O$ T# b7 h" j# ?8 }8 H]
) v; P* o: t5 a0 f2 u]/ e1 t5 c/ y! B9 d8 m3 J' y
set global-proportion note
6 d; ~8 |+ ?. P9 G% z- ~]1 _* q( V% J3 b: I4 [2 X$ {
end5 D/ B& ~: x' M6 N
+ o: M9 z4 U8 r" P# h. Dto do-trade( k. r, _1 E' _8 T
;;这个过程实际上是给双方作出评价的过程% @6 K; P+ Y! S3 @1 a# X
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
, f% I- M: C; ~" w- D# D1 s4 eset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
* t! [5 m% ? f7 }/ d' k0 q* Qset trade-record-current lput(timer) trade-record-current& O8 `8 l( {2 R. |4 A9 Z: p9 r& k
;;评价时间
& e3 o( l" b& n9 ?. H8 Uask myself [- W+ j0 b- m5 v/ y
update-local-reputation
?% ?1 h% e8 V5 zset trade-record-current lput([local-reputation] of myself) trade-record-current* c' b( k( N+ d/ k- A9 D. ^
]
$ |" ?; @- t4 }3 F$ gset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself' Z ^9 N Z7 n: F! o
;;将此次交易的记录加入到trade-record-one中
3 X& n9 Q+ z" [- \set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)1 H: G% b1 u1 E$ j
let note (item 2 trade-record-current )# ^8 V9 Y1 [5 D. `5 D- f% _
set trade-record-current) x) o2 B$ s- K) r3 ]
(replace-item 2 trade-record-current (item 3 trade-record-current))7 Y: F+ I$ Q1 E5 ?, f
set trade-record-current
3 d3 K4 g8 K( `' l(replace-item 3 trade-record-current note): `) j1 Z' \( N8 X: ^
X3 n0 J0 P1 z9 u f
$ L" h& `; |/ Jask customer [$ p( A) r: w$ P, X
update-local-reputation/ z+ I3 [" I U( {+ D
set trade-record-current
8 Q& ~+ k: J0 s! s2 E(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
. i" i0 c8 x" U6 M& ?. ~]
& Q- Z+ i5 s3 l/ N- |
- D) W0 n1 h ]4 e, Q9 b* T, F* `: o4 {
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer- q2 A4 n/ ^9 J9 k7 P7 J& C
6 Y" _: z8 @% e) t' W) g0 Pset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))- p+ _3 ?% E) w' |. S% n% x
;;将此次交易的记录加入到customer的trade-record-all中
: s* v9 @5 y+ A: c% Oend/ |& m& ]# y8 _" p
7 s9 |% @8 t& p2 jto update-local-reputation: ^: V6 X* U$ C! n+ D! ^
set [trade-record-one-len] of myself length [trade-record-one] of myself
$ @1 \' j3 ^! v* V6 ?. d$ l( ^% q$ C- {+ [' \8 i* B
6 a- |! n3 Z. E6 V; p;;if [trade-record-one-len] of myself > 3 " t8 U# h) c! V- Y
update-neighbor-total" m+ [" x; A8 G5 `' i; i$ k
;;更新邻居节点的数目,在此进行
! U6 x$ d; J. N& d. N+ Ilet i 3
+ p3 Z" n; b2 U- S$ c+ O7 Tlet sum-time 0
1 V- \, N- J9 ?. b. |; [1 Kwhile[i < [trade-record-one-len] of myself]
" a: H/ ?6 i" _6 i3 V$ q[( d% N6 G( ~/ V$ k& ^
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ l" J3 q+ ^9 Yset i
( Q4 D. A3 d8 r0 s- ^' Q( i + 1)! Z7 u: Z. }: L" O
]
4 i( Q ~& S% t4 E zlet j 3& Z+ G* _: j% t0 P$ k$ F) D. M1 s8 ^
let sum-money 0
% P! `/ Q: g% x. D4 p) ~8 h" _while[j < [trade-record-one-len] of myself]: P- r. m' D$ Q
[
, Z3 d; b, E# S9 z- ^) Pset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
. C/ w. D8 o U% U/ n1 f6 ~set j
! r: y; M+ r* C$ t# X3 G( j + 1)7 [; A- @& a) B* O+ F* U
]
$ z: J! n5 w. D( z; G' S2 [1 Mlet k 3
; q8 t- K: L0 R& w( D$ C" N$ plet power 0
8 m/ k. v9 d9 P8 llet local 0
( e- g' C; l) d: h7 @9 i$ k2 M% A# Xwhile [k <[trade-record-one-len] of myself] f9 n v! p6 G f7 _, K
[, ~5 u' \# c& K5 f( f% P
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)
3 q+ `/ W+ j2 Xset k (k + 1) q4 r- z# w' D/ I
]+ w5 I; k& b1 V: J
set [local-reputation] of myself (local)8 s7 M7 ~0 \/ F0 R
end
, b* l: r0 b9 I v1 x
' L* E1 r o2 ~. ], }$ hto update-neighbor-total N: ?9 H- B1 J
2 z& E0 k, b: m0 R2 S) R
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
c4 P/ i7 m Q( F% _7 q- k6 B, e3 \: }. }. ^' z/ Z2 t4 y& l% K
4 L* v$ T: N/ w# P' L7 e
end8 Z: o# x3 J+ k
$ [, m, b: R/ g X. ]" Y; B) sto update-credibility-ijl
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: H+ ^; H' ?& [4 d; a;;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。
& D0 N2 {& z$ b3 @let l 0% S; x( D% L* T" o8 K
while[ l < people ]
' H; N. J- B; N6 [;;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 c! j# y j; h9 b3 s
[
1 v2 l% v7 D, N8 U- p8 a7 ilet trade-record-one-j-l-len length item l ([trade-record-all] of customer)( R8 h8 ]0 @, v4 m \) P4 z0 t9 m
if (trade-record-one-j-l-len > 3)1 U0 V$ Q& J- S7 d4 W9 n
[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
5 i) ]( T1 o+ R/ E0 t! ulet i 3# n* ]* ?0 Z5 o4 z3 q
let sum-time 0
' W0 A, w6 |; o. u: x7 v4 iwhile[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )/ w7 q& t- k; `' `
set i3 K. p+ o* x" N/ K; h
( i + 1)
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5 F% T& A+ d- c \9 Klet credibility-i-j-l 0% B0 ~0 a6 N6 L* h& O7 T5 X) E+ y
;;i评价(j对jl的评价)9 f$ v- \" }9 w* K+ g% _
let j 3" l; v2 `4 y2 e
let k 49 x) Y F2 w$ m( _9 R9 e! V, ~$ {
while[j < trade-record-one-len]
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/ |' s5 N6 j, e) Nwhile [((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- e' I N( J) \$ x2 W9 \. I; x
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)/ ~: L& n) M( S/ i2 l( S& P
set j# `+ N3 r- c! ]& x
( 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 ))
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))6 C& M( `( B1 A3 `! U# @$ v9 _, d# \
;;及时更新i对l的评价质量的评价0 ?$ b" t* O! H
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- I$ y' B% |* L4 P3 O3 \
set l (l + 1)
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6 |6 W+ ^- Z, n% vend
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- {$ e0 m& N3 \$ E: Cto update-credibility-list D/ F6 {) H: i; y, R* i" O& R$ r
let i 0
8 \4 M- W8 h% U e' ]. ewhile[i < people]
/ \: ?+ v4 i* k/ u8 _, @" m( P6 E[5 k* p8 T0 }9 f' p9 S
let j 0$ E* O, @( l, W" Z. _7 m5 D6 x% @
let note 0& y/ s, Y" K, B3 [$ `6 |
let k 0
0 ?) c: x+ D- S' y7 o k;;计作出过评价的邻居节点的数目
. S7 F _3 g/ T/ m3 w% Bwhile[j < people]
' [* c5 ~8 f3 T. @9 L[) m+ l% c$ I' v4 j' A6 q
if (item j( [credibility] of turtle (i + 1)) != -1)2 k4 H' W# }" i8 m5 @1 i; Z
;;判断是否给本turtle的评价质量做出过评价的节点
; x: i1 O3 U2 E3 o- ]3 p3 y[set note (note + item j ([credibility]of turtle (i + 1)))+ p7 G5 S9 L( r8 S
;;*(exp (-(people - 2)))/(people - 2))]
, U# L% U* l2 aset k (k + 1)
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set j (j + 1)" ^, ]& O8 ?; G, r0 t
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set note (note *(exp (- (1 / k)))/ k)
, r+ ]( ?! s. ]3 n( W8 @4 rset credibility-list (replace-item i credibility-list note)
5 C, i5 S! ]: s9 f. H1 h9 W& Sset i (i + 1)4 A* N/ y% Y; e
]/ u7 O+ z m4 }& p
end
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to update-global-reputation-list
6 {, Z% B# u( Qlet j 0
' \8 G$ C8 R$ }' _while[j < people]
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+ [0 Q; U( `7 Tlet new 0
* `' ^' N& T& t;;暂存新的一个全局声誉
/ c2 T. L W T* wlet i 0+ J% I* K6 `# e3 W
let sum-money 0
6 l1 G$ O/ E R- Clet credibility-money 0# R& W3 A0 @* A, x( [( C) ]; d
while [i < people]$ m6 [: `# y2 M) F5 z
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set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
( V3 j6 E% K, e8 n6 I1 V9 B+ Mset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
6 m3 V0 M7 F. j( Q& Dset i (i + 1)
8 [8 u2 ~* O8 l0 N' c# w. K9 h1 t]+ [& F& q2 w" b; g$ k
let k 0: [; Q5 b- U& U1 x- @$ L
let new1 0
% [ Q; ~; y& u2 M3 N' `while [k < people]9 l! Y6 T6 T& {* B+ c0 Z
[
1 b( n2 r1 p$ g6 K# ^# e \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)" a$ z6 g# t) t% Y/ ?( A
set k (k + 1); U! R) w! e. F& r7 n2 x, y+ i
]
/ h6 ^. D0 J) ]; L( N! B' O5 |set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
: l* E2 v @7 N! a9 xset global-reputation-list (replace-item j global-reputation-list new). ~0 I- j5 u p! S/ X1 J( P
set j (j + 1); G7 [/ O/ @0 X7 M* z& g
]
, t2 x) ? ]: `1 J7 _+ ]3 eend
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to get-color
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3 |- k; J5 u' q- }set color blue
$ {: P+ p0 N# Pend) ?6 j7 ?- a& o+ @1 \+ ]1 g. r
6 x% K6 g7 M% l1 F( R; @9 z% mto poll-class' ]. |- x7 N: ?% W. i3 B
end6 i& b* E2 m4 L
2 w& N% r; n" n/ N" o/ zto setup-plot1$ M6 O. G& A- F6 w
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set-current-plot "Trends-of-Local-reputation"1 @- y! H4 n( _/ f
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax
( O5 V8 v7 c( c) H/ i; qend" t4 G# L4 C' Y* R; t. {
3 `; Q8 {5 }5 y9 kto setup-plot2
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set-current-plot "Trends-of-global-reputation"
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: Y2 p3 y# ]! m3 x* g( t* ?set-plot-x-range 0 xmax
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2 A5 Z1 Z1 [1 j. L( u6 aset-plot-y-range 0.0 ymax
E; R& B$ e: _end' f& W6 a" c; g1 P
C7 E) l; }' b) E4 z- U* N) G
to setup-plot3
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set-current-plot "Trends-of-credibility"
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set-plot-x-range 0 xmax
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2 ?2 Y9 n4 B' f1 a3 a" H# b2 C# `set-plot-y-range 0.0 ymax
2 k4 i! n* Z# J6 B" Y& C4 ]3 uend
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" t; K F A; s4 \, zto do-plots
7 r6 s: @* U+ d4 B5 Z9 {" f( iset-current-plot "Trends-of-Local-reputation"
$ m3 c! g ?- L5 u1 Wset-current-plot-pen "Honest service"
6 t( w% W! L- h, Tend# w: _( K9 e) o# \8 }. i: p
) ~; e# Z& U' m: N+ _& H2 Z[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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