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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
# C$ \, Q$ ^" s3 Y& _- Wglobals[
! Q( ?8 @$ t7 [5 v( x nxmax
/ o/ D* `; E& @8 t5 x, K, ~ymax- ^' E! x1 V) s- {1 O/ t, }
global-reputation-list
4 n, t2 K# |9 y {1 ?! q
1 B1 ^# O3 i2 o& g8 v, R# I* b) p;;每一个turtle的全局声誉都存在此LIST中
$ m/ V C: o& g; ~credibility-list
$ Z5 s+ ^2 R9 C% O;;每一个turtle的评价可信度
! [( h8 [% B, R7 n ]- Thonest-service$ w5 t: d( @8 n7 N ~1 [
unhonest-service" R7 \* L" D, z9 I' q8 z
oscillation8 j4 ^/ e& V% s. o3 M
rand-dynamic: G, g2 ^9 ~7 q: T
]" [+ K7 \4 z) S, O2 c
# ^9 n2 B" O L# p( w aturtles-own[7 h$ ?. s% Y8 B; J" [/ N) }( y
trade-record-all
\1 s+ A- L; @;;a list of lists,由trade-record-one组成
! V, N5 J1 T1 }- U+ qtrade-record-one
8 @0 t: D6 y. ^- M# |, g: s y. s/ c;;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 m6 I/ X) q! F- g) N, |3 C$ o! K& h# F0 ^) k8 Y
;;[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]]5 X$ m( D6 V. y2 U' F f
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]6 u2 r3 H$ _6 o5 M
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list5 Z+ M$ l; r( r% W9 Q# ~6 ]
neighbor-total. u5 B; h5 `4 R0 t$ ^# A
;;记录该turtle的邻居节点的数目4 |* t! F; D% s5 |9 N; N
trade-time+ N8 p3 K" S2 } w: J9 J( a
;;当前发生交易的turtle的交易时间2 C! [! n4 X" e, e
appraise-give
+ B- }7 F+ ]$ {5 ^5 @! y$ _& e$ ^;;当前发生交易时给出的评价) n! |( Z; u, I6 b) m/ J4 U& Q7 }# @* [
appraise-receive
v1 w6 x/ ~5 w;;当前发生交易时收到的评价1 S& r0 c, a6 `5 k c. `" D+ q
appraise-time
2 ?8 n: M0 d9 ^% ~0 W;;当前发生交易时的评价时间8 L2 n! k+ I0 a( D* s- I
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
1 f8 O+ X3 M8 s3 I A ptrade-times-total% b, l6 Y. Q5 {$ G
;;与当前turtle的交易总次数' y" ~$ h/ Z" y3 j! K9 l3 T- n
trade-money-total1 a/ n4 K/ e9 c' H* H
;;与当前turtle的交易总金额# L- J) t; L) E4 M4 A7 d1 H. \7 m: E
local-reputation
, t) D, M+ ?2 M# ^# g0 f) ^: m# }6 Eglobal-reputation
# z" e2 \; h5 g/ p% j: `$ O3 ~credibility
. U! t& X1 [2 K5 f8 m* g4 s;;评价可信度,每次交易后都需要更新
9 u! f8 q7 S- }- icredibility-all
/ I S. {2 Z0 l g( 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+ v; v5 w- A' H$ p: z0 k0 O0 @. x
6 `' p" A" ]- }+ f4 V;;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0.56 q9 ?- u6 g) N% P1 T
credibility-one
! w" v1 a9 w* Z( ~" L$ R;;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
. ?. k0 u8 J' z3 l, Xglobal-proportion
" [/ N5 _$ Z4 P: _( ccustomer: M& D# F1 g6 s4 D) t' A3 s
customer-no
- _+ J- \. |3 z, R; X' f3 G p. u( ~trust-ok( ~: K! G; i7 n* N
trade-record-one-len;;trade-record-one的长度( G: v- x, \$ H1 c. T7 A; [
]
( G7 o2 L* W y$ Q6 Q3 H6 |6 Z9 r( F
;;setup procedure: q, B, A! I5 p1 H- q! S+ \8 c5 x
9 r3 ` p) F' J+ ^; a/ k' mto setup
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ca
% A* w8 ~) p. p% l3 ^" O4 i: l+ c
9 E4 s4 P" S" a! B0 Q" w: Rinitialize-settings
5 S' z+ t s: V3 B, m _ \
, Y2 S" E; L4 x% V+ [crt people [setup-turtles]
; x4 Z2 H) i8 }2 [0 }3 ~. d. W! m- J3 z
reset-timer
. Y" f/ K# G) z& L6 _2 I3 q. C: ?8 x( s' z
poll-class8 V7 e$ H6 B( q
, X } S# Q# U5 `" i$ s, U
setup-plots
0 l) }; {* v/ ]' j. S4 C
, N w, D$ y0 d# O r: _do-plots( j/ G& Z3 u$ v+ J: L' j. b
end
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& c P2 Z2 p; E* jto initialize-settings
$ _" Q1 U6 c9 w6 F+ f+ f& Q+ o. W2 O) x. \" H# U" u( e
set global-reputation-list []
W& h( j% A3 i& o9 |; r
. [" k! a/ B" c9 B) J% H! ~3 ` Bset credibility-list n-values people [0.5]
6 H2 T6 I: ~: B9 S5 E
$ X4 [" c" m5 ?! I9 @set honest-service 0; O$ }2 U: g& j/ z
( m0 g" _4 l9 Y! H Z$ T: M8 B) Hset unhonest-service 0
# R ~) {( u% e8 ]+ z( X* g9 W0 g# X1 e8 o
set oscillation 0
5 e" W9 p) `$ Q
/ O8 ]9 q3 S7 G! d; Vset rand-dynamic 0
K! s+ ~9 D- B6 dend
; v. Q5 ?4 j) i& Z% F7 j( b+ T2 U7 [" u/ a0 L7 [' m% c
to setup-turtles ! u4 s& @1 n: F9 }. L
set shape "person"
9 Y( y. w: a: ?# @ B( e: g9 Jsetxy random-xcor random-ycor2 D. s" @5 o. W6 v# C
set trade-record-one []" S0 D' v' Q3 p3 E# [
1 z% X# `- E/ f1 z% r* xset trade-record-all n-values people [(list (? + 1) 0 0)]
2 z' B) G& S# i5 N* |' |4 n$ J- S, F. @ J4 z- }7 T6 J' k
set trade-record-current []
0 g4 k& k: i. P+ w7 y; E+ Fset credibility-receive []; i- n4 \2 _' t% F
set local-reputation 0.52 T5 c2 q" b( }+ }0 m
set neighbor-total 0
! R; i, I3 S! p8 e% ]set trade-times-total 0# x. ~7 w0 }4 E. G2 p: q
set trade-money-total 0
) Z: {7 I( |; R4 Q8 j' q1 kset customer nobody
% d" ?) ~5 y; ~1 G, l& a7 |set credibility-all n-values people [creat-credibility]$ _9 r6 @0 K" o* S8 ^
set credibility n-values people [-1]
3 |8 c& N# C1 O7 q# jget-color
% U: C1 O6 d( Y% u2 e9 V% o1 T/ w: u5 m# t5 S6 N ^6 E
end
; J3 }( J0 y J8 P1 x, r0 p' v4 f7 G* @7 S4 {* J1 p" g
to-report creat-credibility4 `, a0 B) \6 x# h# F6 C. _
report n-values people [0.5]
1 Z. B% g' I1 Z2 x+ Uend
7 a- B3 U/ @: y
7 J* [& M9 O! O" m7 n6 x' Eto setup-plots
! f6 G' c4 {& u- m: F
% u* j3 z( P( z! ~2 X3 L8 X, xset xmax 30
2 g3 k1 I$ Q* J9 i7 b1 ]
/ G. y3 z6 B% ~: `1 ~set ymax 1.0
; q7 O9 {) [. v% D. g% I
; @( P0 Q8 n# R: N6 Dclear-all-plots
l* {0 ^) m9 @ V6 a f8 e4 O4 a5 ~9 Z. D# F
setup-plot1
* g' S1 z2 g+ k( Z, e2 I' a6 M+ Y; _2 F+ s
setup-plot2
- [$ j! K ~& t; X& F) B5 P1 @' c+ l
setup-plot3
; C$ a3 @+ t) ?7 hend8 n! h5 ]4 L; G/ ^2 ^8 M, ^, N$ n
0 ^1 q$ h3 D8 J4 T5 K6 j
;;run time procedures( J e( P6 A& ^+ l2 ?
% i2 |: n$ o7 j2 |to go
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5 e2 O5 M/ a3 E) r. N7 V# h0 W0 Gask turtles [do-business]5 C) r8 c: A: R8 Q Q3 D7 [& ]
end
3 P2 ?. n* L; K; W( f1 e( B: U! O- ^, S; ]( o( p& x, p
to do-business
& M! F! E/ ~/ X1 L \, K1 _, A' w7 t5 x# P
. K1 d' I2 f( S, l2 D6 H5 z$ c
rt random 360, x, V: E' ~3 b. t
) H7 d! m a( w& R, F) X$ g( U
fd 1+ D7 i _( L# U
" g" V$ |9 r# X
ifelse(other turtles-here != nobody)[4 j1 F" s4 {5 o2 P' O
, d4 H3 Y B% |. p: O+ r. G- ^set customer one-of other turtles-here. Q& g& T4 D3 `: N
* B6 P" H9 r, J) Z1 s( I;; set [customer] of customer myself8 ^, F9 B5 ~; _4 M% p7 \9 X
1 [6 o& L6 @6 Sset [trade-record-one] of self item (([who] of customer) - 1)9 g% s$ l: f3 w; E# \4 h
[trade-record-all]of self
5 X# a( \- k" R) y;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
9 r( b0 L2 j' q# v9 v8 e0 K; U& @. v1 k) Z: v: e3 t9 V
set [trade-record-one] of customer item (([who] of self) - 1)
% ~7 D, {4 B" G[trade-record-all]of customer5 G" x! R& l/ A6 c9 ^/ v
& _9 ~6 S; k1 e& iset [trade-record-one-len] of self length [trade-record-one] of self
+ c* W: a! J! Z9 n
! r! g3 z' Y4 ^$ Q7 E; I, Yset trade-record-current( list (timer) (random money-upper-limit))
0 F' C/ [* F1 X6 H3 g6 K/ t7 d2 G+ J; V8 Z+ g5 {2 w
ask self [do-trust]
, M0 }/ J- _+ x1 W* a. A;;先求i对j的信任度: M% g" U c0 x" y0 k S
% s$ a7 \$ h! b% c0 y
if ([trust-ok] of self)( h( F" F/ u0 [& r) j* q
;;根据i对j的信任度来决定是否与j进行交易[
4 p V; L4 ~8 z" ]! S* @ o9 ~ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself+ T6 D6 t' Q1 V7 ^
! H& a! r% G8 d+ M( M- Y[
' k) I2 D; M% R/ R& P7 P# p. g o' \7 K+ @. `- o2 s; @
do-trade E8 S& G( L6 Y, j
9 Z9 b7 }* [1 ]& M7 p0 T& v+ V& q' H
update-credibility-ijl
' z1 v+ L* N* c" b# L+ b$ |" \5 D- ^& ^! C
update-credibility-list) G, D+ K9 p. J% n
$ U( W9 `+ M! A
( j4 H: K$ z) @/ |4 `% x
update-global-reputation-list
! d8 n, E6 u! E: O
# _0 d p _ @poll-class5 m" V2 W$ x0 A% [- T% E8 O( d# z, n
' n3 ]4 C3 I9 n- x7 Bget-color
+ J" g8 Q8 R/ f+ ~+ T5 W
2 c6 Z' ]9 \; [ F; P1 ?: y9 `7 J]]& J: v% ^4 I! r# Q
1 ^8 V4 `. S; @; [
;;如果所得的信任度满足条件,则进行交易" X% h0 A; _ K/ A
1 [9 g' S$ h" u+ C[
' B" T6 F* V9 i% y+ }3 Q e* b7 i! w$ u7 N5 L9 m
rt random 360
# n. r" q$ F7 D+ t5 u0 W/ T8 f: q; Z8 ~
fd 1+ s2 e/ _' R. C2 P7 `* x! c3 s2 Z
( y* b- V9 R/ r1 W4 d]4 X" B& |$ ]2 c& I1 n X
5 z/ n- I% t; r5 ~( Z% R+ L* `end' _, V2 U/ j. n, t, ?. u+ z
% O( V' k7 g0 {* U8 t" jto do-trust
9 q$ c1 k# u, F+ P) p+ s; [, H2 {set trust-ok False
5 R' M# c! `# \6 O# x5 e3 r; ?1 R: h* q/ q4 ~2 l! E
/ Z9 R% S1 ]2 y: P. e' f: h
let max-trade-times 00 r- ^, W" A7 u1 B9 |% o1 k
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]2 f- l/ Z8 P1 J
let max-trade-money 0) `( ~& ^' N4 L& v
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]1 E0 M( {& n6 p; U" u0 i
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))4 e8 v* F" b% t
( P1 |/ i0 b- W1 N2 c' o2 U9 j, i
& g! n# T: [- F8 T% Z$ X
get-global-proportion( Y. c5 H/ [, w
let trust-value/ a, e% M/ K9 ~1 j. n
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)& B% k+ P. M( e4 O; c! Z
if(trust-value > trade-trust-value)
1 F0 A6 i Z w" B# b" c5 u# s4 u[set trust-ok true]
# O; q* j3 v: m) W, x5 V/ tend8 x! \+ O% s R, c( h/ d
; F0 g) \3 u) b& `' Vto get-global-proportion
3 q) x ^" U6 e7 vifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3); q2 T) l$ ~ j4 I& `
[set global-proportion 0]
/ c+ d( Y) s, e* N[let i 0 d& N% O7 b% ^4 l9 d/ g
let sum-money 0
, h) c7 z; F- R' N7 d0 t" Jwhile[ i < people]
+ Q4 f/ L F- y. V/ `[
" s6 b. Z1 p* e w" j% Mif( length (item i2 r+ d! b" S1 p# f, Z' u
[trade-record-all] of customer) > 3 )
5 w) U+ k' l; H# C! G, a6 n[6 N" R+ Q' \( Q- {- t
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))1 M% v) \$ d# Z; d% b5 d
]
6 ~% J2 k7 w, D& `6 Z5 j; |; f]1 T" u9 t9 U2 u& F$ G) P
let j 0
2 K9 |$ G1 D9 X5 }; V: j; O1 qlet note 0# J. y7 |9 F) M3 H8 ]
while[ j < people]0 f7 A; e* _9 m6 e
[2 N! a9 l. p6 y6 ?5 p
if( length (item i/ ~4 q9 s9 p( F# N' V
[trade-record-all] of customer) > 3 )
* w( _' E6 S" }# U& z2 }0 |[7 w( E2 z+ q4 I% v8 }
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" F3 M. D8 g$ e; p1 g
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
* Y& X7 ~- ~$ F& F9 N/ _[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]" ]. _) U/ R4 Z' R5 {6 D
]
( h- v u, d( s/ s( B]
) N- @/ Z+ \% |0 jset global-proportion note1 G9 x7 Y7 I8 {3 ]1 p
]
+ l" i& N, E2 e5 Iend3 V% c5 b% Y4 B) f7 Z
7 f9 d( L6 v$ o3 X* g0 k; U* \8 Cto do-trade
6 B$ N$ K; `' ]: g3 n;;这个过程实际上是给双方作出评价的过程
8 {: I2 H B3 l$ R; L2 c. F6 Mset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价; t4 p" I7 O% y G3 O/ m
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
6 G* }* x0 ]" uset trade-record-current lput(timer) trade-record-current$ J4 x! I% T0 s2 d& C- U R
;;评价时间# F( s s' M; l/ i, [8 X) H
ask myself [
, X3 a( }5 b& ^/ G/ M2 U4 lupdate-local-reputation
6 I' ?! P( V6 x, Mset trade-record-current lput([local-reputation] of myself) trade-record-current3 _. V1 P; K3 J; D" c' G! N0 s* S
]
; G8 U9 {; H1 l9 `7 Z9 jset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
3 P% f8 @, P. z' f* }0 K' R;;将此次交易的记录加入到trade-record-one中7 s j$ e+ \3 K
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)7 g" N3 r/ ^. @! a3 Y
let note (item 2 trade-record-current )
) t" o; n7 t2 o+ g1 g& W& fset trade-record-current
9 a, Q7 J, z$ U; q8 ^, |: \0 n8 j! ?(replace-item 2 trade-record-current (item 3 trade-record-current))& l: D+ f0 t& C& f( n2 m
set trade-record-current
4 Z% Y. `7 l8 `( u% n, `& K; V(replace-item 3 trade-record-current note) e- t5 H5 @' G$ {
9 d+ X I8 q0 A3 E* B
( }5 R- p- V% X# e5 s# ?4 r0 task customer [
: R' [) v9 D. ]9 R* U8 Q* zupdate-local-reputation
4 k$ d. S" k$ F4 Xset trade-record-current& B8 V- ?7 v. f# B
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) / P4 A: _( U2 P4 z
]
- n, H! ^7 l- H' l' b) R# L" K( ^- D, Z7 ^& Q* U
7 G, N, j; | w5 R
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
0 k& h+ M% u T r# ]% w- z: e. t- Y
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
r# q- E9 L, N6 D/ I- t;;将此次交易的记录加入到customer的trade-record-all中0 ]+ ^4 L+ Q0 Z. T8 ~/ t
end
& [6 I& {7 t9 m$ L0 x* Y
4 c3 d' j* X8 C& wto update-local-reputation
* E% [% g A4 S9 C2 n; N! z+ B* Iset [trade-record-one-len] of myself length [trade-record-one] of myself
5 D l( f! K& r9 S- E1 v* Y0 p' e' T5 k b
, ?. R* v9 e: `6 Y$ V/ m7 P# Q
) B2 {( w9 B2 A;;if [trade-record-one-len] of myself > 3 ; g4 ?6 ^0 I" u! }5 h1 [
update-neighbor-total# F: A% V; S& Y5 Y5 R+ ^
;;更新邻居节点的数目,在此进行
; F& F$ ~& F6 B1 c" w8 E0 `$ clet i 3/ b$ } D7 `: B; j+ R/ C1 c+ F/ \
let sum-time 0
# ^' z2 ~- q' T9 q" m- [( cwhile[i < [trade-record-one-len] of myself]1 e% s! O5 s- j- Z8 n: c S
[- d; y$ O% `, r4 V8 v
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
: {! v* V3 W3 q" H' C0 n& n, Wset i
0 L6 ?- J% W1 k `( i + 1)- x* A/ T7 ], }# o1 L' Z; n
], Z* Q1 ^# G# [3 d! ~( r* q
let j 3
: J* S$ N2 u- j2 d) D% ?let sum-money 0
i0 Z3 W$ R, w1 k6 o8 vwhile[j < [trade-record-one-len] of myself]: T( v. [9 G3 D+ h8 l2 i0 K
[, k: k) s1 \9 {
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)
- T0 m# _% b; g" h7 Zset j
" |* V% |4 _" R9 m, l- H0 C( j + 1)
; v9 D2 M" G) t4 m]
+ @: N. [6 W# K- ylet k 3( l* c, K# M, k( t$ R5 K4 R( ~
let power 0. b4 F8 p) k1 E# `# s
let local 0
, v5 i5 F" {) T# k# owhile [k <[trade-record-one-len] of myself]
( V8 L2 @1 H5 d# m7 _' [+ F" r[* A* a2 M: o( U) x
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)
, A) r0 Y8 [3 l+ {4 d/ X% Hset k (k + 1)- n. b; j- o% S* K/ Z c
]
2 b1 B7 O9 |' n5 X2 O1 |set [local-reputation] of myself (local)4 ]; Q8 I; I3 o, u, _ b
end2 A/ V, D+ \& X0 y. D9 e6 d
) s% e1 \9 r+ G. E5 \% a+ K8 V
to update-neighbor-total
. B3 f2 ]' {/ C1 i1 V' l h! f' K" U B3 i' z0 E! v
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
4 ^6 U# U: ]& S
4 O/ q5 M* i0 S% B
" K1 J4 I$ T" z& p. Hend
4 x1 L7 {8 j, c/ c( C# V& h' T2 A4 o8 _- h! }: N4 @
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 l/ X/ k, y# i5 O! v9 a/ U
let l 0) H! g* C, ~9 f0 ~0 g
while[ l < people ]
1 ]1 w) C/ |: I; G" p;;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: Y9 W- j" L Y* L8 P+ e: l& S
[0 s9 s: K; j L4 a# `9 z
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
, K4 M d/ s: ^% Dif (trade-record-one-j-l-len > 3)5 t2 g, e" `5 ~9 C
[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/ G4 x6 P0 d& T* |6 L) s
let i 3
0 `2 B+ T$ Z' V0 Klet sum-time 0& n+ N8 m/ G$ [/ K
while[i < trade-record-one-len] U* j& d9 K/ [
[
7 j, [3 k8 F/ ]3 gset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ); Z1 I* ~# ]% T' I- w; _. ?
set i' s/ _9 o9 i4 D9 d7 U* z
( i + 1)9 Z1 \9 u% J/ d* q' W U7 q2 _
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let credibility-i-j-l 0; I/ U+ y5 {3 a
;;i评价(j对jl的评价)& j6 V; O: v2 w
let j 3" Z/ j: B; p4 w! \
let k 4
- e6 `4 Z2 e1 c, x/ `5 ^& `6 E, Rwhile[j < trade-record-one-len]; L* _4 R$ ^& w1 C) P, Z& m
[8 s* T" w+ G6 w) i2 P
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
" q; T# V, w% h7 Y! f3 }5 C1 |% uset 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)( G, g. O- M) k6 L
set j& m) d7 b. c3 t' Q2 S i8 q x
( j + 1); C* n, _# {6 f" P% d! W5 L
]& u' H8 ^# z: R1 I Z- F$ W
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 ))
1 r) ?# D- P0 q/ r; q8 d- J3 W: K. y% W
" B4 R1 w1 c; Q& O1 B2 P
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
8 h' L# B' S( r3 h+ P;;及时更新i对l的评价质量的评价9 q6 E. e/ t2 W, j Z% n
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
1 M, K# q3 y9 t1 m. eset l (l + 1)
+ R- B6 x8 P6 @! ^, ~5 o; w1 {]2 ^7 j' q' a& g
end
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( l4 f$ `6 _& N( hto update-credibility-list
6 U6 T m: B& O4 ?let i 0
: `$ }1 i8 }5 `% O: F( H- {7 xwhile[i < people]
f" k" }( h4 O m[; A; P0 P% w9 @* N! R) d. {8 D- @
let j 0! u( `. M" m# J4 B I
let note 00 w" P. f; o- d* a2 e
let k 0
1 q* o5 [, [ x;;计作出过评价的邻居节点的数目" I, n( I4 h( q# C7 p
while[j < people]
$ j0 {* \0 P* `* `9 y' N[$ l5 S2 I: \( w2 v4 Q
if (item j( [credibility] of turtle (i + 1)) != -1)' D% x, S7 `' O
;;判断是否给本turtle的评价质量做出过评价的节点
: V' o c+ {. v[set note (note + item j ([credibility]of turtle (i + 1)))
2 `% L) G9 x- B# D$ I;;*(exp (-(people - 2)))/(people - 2))]
: N: z+ v* u" ^9 V) ?set k (k + 1)7 @: e* ^: N( a( j
]
) q# X4 Z0 I5 e# g& }set j (j + 1)) s$ Q! V) o. ^/ N. j
], Z- h( G; e- g+ \
set note (note *(exp (- (1 / k)))/ k)9 `+ E! G# Z3 A4 V. a
set credibility-list (replace-item i credibility-list note)
" R, d* J3 w* d" tset i (i + 1)4 q7 D- R1 @4 s
]: N" a9 F) K% f/ L* Q; j+ w- U7 `" s- R
end
! \& b" S+ ~% x- z) q8 O1 W) I) W. Q3 {9 g2 P0 T7 S
to update-global-reputation-list* [2 {* f* y$ {3 l& ^
let j 0/ H: x; d2 p, L3 w
while[j < people]
0 ^ Z6 O" T _7 H2 D' G' e[
. X/ D) U: a, E- b% ]- `let new 0. I3 G: n3 |8 D* G l0 b
;;暂存新的一个全局声誉8 j/ H( z% k! b4 ]& Y
let i 0
# T5 I3 g) r1 j, S9 a% P- {' Ylet sum-money 0
( _: A# D* ^4 L g6 elet credibility-money 0
8 }7 X- w1 o+ c- cwhile [i < people]2 b; o& C9 W8 N+ S' Q% c
[
6 X/ x! w2 P# l/ M1 e* Pset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
* B! ^0 q1 O# m( r. q! Hset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
3 d" R4 |; q* S) d' V: f% @8 m$ kset i (i + 1)+ U% k% ~" x" B& c$ ?4 P
]; x/ a$ g3 q3 }
let k 03 l2 X0 q" v% U4 n! E
let new1 0
5 i% l4 F/ D# x' ?- O) C: m3 V6 Swhile [k < people]
* I; ]6 z6 e- o7 H8 H[
& `7 J4 B& U/ F5 mset 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 F; D3 Q7 O$ k# cset k (k + 1)' m, Z! J2 s* X
]
+ D) ^* i" T1 W1 g# y( aset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
: P8 {, i1 M8 @( J7 Z6 i1 O1 }set global-reputation-list (replace-item j global-reputation-list new)
/ J' F! E! m* D6 a, iset j (j + 1)
! O" R; | q& `& @, n/ []) q0 z4 f/ z' N( r
end0 t$ Q+ u k! }& e8 _# Z% M7 c2 x$ U
1 M+ w" h0 d2 A! I
7 g& d/ J2 v# J( s6 G! M L7 |$ \# j
to get-color. Z1 ^8 S- Q8 H4 }1 H
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set color blue4 t# c% X- v# y. A. L
end8 ?, @4 R5 Q I# y. `
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to poll-class
) P; b3 V) m. |9 }. bend
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% `6 m& j8 k, P( Kto setup-plot1, H3 u) L, R$ Q" M7 [7 H0 H
- a# R* t1 `4 |8 L/ @# Y+ Zset-current-plot "Trends-of-Local-reputation"& Q8 c! r/ U6 y- S j2 G' F
% f/ K d2 t( J, f2 g1 u) @( Dset-plot-x-range 0 xmax3 N2 A% O# _; T3 [
. H, M. @2 {4 t, {7 B2 l* o+ e2 ^
set-plot-y-range 0.0 ymax5 T. h. A8 T! ^) ~6 v, @3 T$ F
end
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to setup-plot2" W% y& f/ Z3 a1 R
$ W" d3 p) P4 s2 E) Tset-current-plot "Trends-of-global-reputation"
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set-plot-x-range 0 xmax1 B( P2 _: }/ s; T d' L9 R
6 t* i( O, E$ _' r- L* {' Eset-plot-y-range 0.0 ymax
( e$ T" q2 x* l* g+ D# V# send" L* t+ s& _ O# s1 e- Y' l4 F' d, s
9 @% {. U( \# L( B6 z( B+ e6 x+ @, q/ R6 z- Tto setup-plot3
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set-current-plot "Trends-of-credibility"5 m5 m9 B6 F3 T7 m) c- G) V/ q
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set-plot-x-range 0 xmax: m# r* D9 C0 A9 i
# `& n, d' Z7 M, s5 N( }
set-plot-y-range 0.0 ymax
! \! C# U0 u+ k) ~end" W2 [. a) D R7 s! l
9 F/ c) i8 L, c4 G2 s9 z2 b! @to do-plots
8 b5 B. N- B3 E! k9 _- O6 O& b) jset-current-plot "Trends-of-Local-reputation"
! [3 m7 b) [" s/ ~* F+ kset-current-plot-pen "Honest service"
0 I* S- ]& V& G- `end/ y d, z' \4 [' ?
4 o; _, o2 g, E/ h
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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