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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+ v- r: d8 Q( U9 T9 [4 H
globals[
" ~( ~6 Q. ^/ K% @6 q' J% E8 hxmax
) r" H8 t8 I% M# D$ Rymax3 V) x" R' B/ i
global-reputation-list1 m; w( V* J1 X4 T# w) F
5 M% m5 P( B/ ] K8 w; v;;每一个turtle的全局声誉都存在此LIST中) Q- c: F `( ~2 Y7 g3 q5 X' ]
credibility-list0 I/ I5 i1 }( H, H) c7 X
;;每一个turtle的评价可信度
: Y7 d; z% {; A: D W. Ohonest-service! a9 U1 j B: ~0 G
unhonest-service
/ I$ T M' r2 R; _% ~ T! coscillation
* g, G1 m% l7 r0 Yrand-dynamic
2 O$ c: b- w' M! Q+ P" B]
0 e4 M0 ]0 z# d" u- _4 A6 {
, f+ t% N+ h7 c2 A# ?turtles-own[
% A: j8 {3 m1 p( y6 Htrade-record-all
0 a5 F" J0 r& C2 l# Y% @6 ?;;a list of lists,由trade-record-one组成
' ^3 O$ l! A- {+ ]. ltrade-record-one
& g4 g' i3 I- T3 V# _;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
|5 ]& K( @9 e
6 E3 o( E( j1 `8 [;;[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& C# ?# qtrade-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]+ k: r$ ]! R6 ^8 q3 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
4 ^9 n* ^# h* F5 j( Y8 K5 d# V* Tneighbor-total; f1 F, {# w+ c* y4 k/ [; R
;;记录该turtle的邻居节点的数目
5 b7 F: Q M* y4 Itrade-time2 N( R; A6 e& }
;;当前发生交易的turtle的交易时间
8 j# D1 W( q" N3 Mappraise-give
2 O! C: D; h0 a$ @;;当前发生交易时给出的评价+ j* v$ `9 M; i4 G- m
appraise-receive
6 ]) Q' ?" f) U1 t& R;;当前发生交易时收到的评价/ _* G; y- F! J
appraise-time: G& `, A. S' [& n9 |; z' V
;;当前发生交易时的评价时间
, p7 U& g) x' f/ ^1 y& Q4 P& Ulocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
! f9 n3 O, f4 [1 R* d3 S3 ]trade-times-total& e7 u5 V, @# P* e# l
;;与当前turtle的交易总次数
9 n. @# S. K. W5 Dtrade-money-total
$ `. [, [+ e9 m8 g% o( B" l0 O;;与当前turtle的交易总金额6 ?& u. N% O$ v
local-reputation
7 E! w. I6 @0 V. Jglobal-reputation& Z4 o9 U. J0 z& @ _6 }9 t" `* w
credibility
2 j9 U+ K d$ L;;评价可信度,每次交易后都需要更新4 y' p: A2 X7 Y4 F0 I6 ?* q6 r' y
credibility-all
# q' Y9 S+ i5 X3 ^1 {3 i;;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" Y4 `$ O5 r& {: ]0 ^' d9 _, ?
# X. l: E0 ]' n' c6 [1 N4 K. ^6 J;;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
l( H; W0 @( gcredibility-one' v, A1 b5 v1 s* p2 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
$ d3 m( {2 l# rglobal-proportion/ h9 r4 K7 C) M% ?
customer0 ^$ ~' c$ T! L9 x- I. f) f3 g
customer-no
8 I: o3 E5 Z9 a& R! ~$ @trust-ok
: |/ H3 K+ G6 C o- Rtrade-record-one-len;;trade-record-one的长度
- c& H k4 ~2 p: ]( L8 `4 S1 |]
) n: R# [& `3 x+ {4 b! `
" Q) z- b5 ?' q& O% k! v;;setup procedure
2 X0 B; a8 K5 \8 I+ X8 C' v* a6 F
' k" P. |; X% D* b. wto setup
, ^! w9 R8 e# h: s h; X. k" W! F: r0 v5 m; y1 d! J7 Z
ca
$ k8 `1 U: y/ H, ?% I8 F7 u6 M; W4 A
7 Q) i" {- l% W/ V( Z5 F- M2 d6 Y+ pinitialize-settings
/ a/ y1 ^ f+ s+ f/ }, ?- z/ o! A3 ]$ W) v4 j7 S8 `
crt people [setup-turtles]1 @4 i7 D; A2 g# J
% p# E8 E" b; U/ e/ z z$ J3 r% sreset-timer6 w0 I5 C z& O. r0 O$ H
$ K& X P1 y' f8 h
poll-class
* f: M9 j5 p# v6 v7 f. I5 T: |1 h4 ]. Q) z8 Q
setup-plots
2 U- b& ^4 H# R6 O! ^% Z" s6 Y9 z4 Q, d f+ h( U) z
do-plots
h) h E; J0 t8 d" C1 X. zend* g4 u" h2 K0 i. @; {* M7 K
' T; a& K) n7 s5 Yto initialize-settings P5 r& J! |! Y% o" n
* W0 s& A- ?# E& h) h5 hset global-reputation-list []/ [/ L% }% y! a; t
9 R9 p3 ?9 M0 w6 \$ P
set credibility-list n-values people [0.5]
" y3 g8 a) Z* @$ ?/ H `8 G' [6 q
* r w1 M) X, g" [ n1 tset honest-service 0$ R4 l1 @9 Q. N2 C/ D
, ^# n, m4 v6 |, ~set unhonest-service 0
, O+ J5 i1 X7 v% I \7 r u6 Y2 ^7 D* J
set oscillation 0
) @$ |1 c! _+ i9 V# J1 d: F! \- S1 i1 b- _& S+ C
set rand-dynamic 0
( X6 E/ D- L2 D! l) D' m pend
3 M/ @% g, [% Q6 L4 Q/ o6 }' T/ b- ?6 j
to setup-turtles $ L8 A6 U& P* V$ j7 @
set shape "person"
* Y' b' I% Q' z; I! Z8 V2 tsetxy random-xcor random-ycor
) G% j2 h# j/ O2 a; e4 v, ?4 Sset trade-record-one []
/ g. M. S* f1 I" l0 q1 \
9 D }4 B5 F6 {" rset trade-record-all n-values people [(list (? + 1) 0 0)] X4 i% y5 D( ]' T
3 p+ k5 n' k2 T. y
set trade-record-current []
, t8 x: \+ q4 w- N8 X9 Sset credibility-receive []! W9 @! q; h! V; f
set local-reputation 0.57 l8 {+ p5 m7 b# Z+ [
set neighbor-total 0
5 T) [/ |" A$ I9 n+ W& Fset trade-times-total 0
/ r( a! m. T9 [/ B. v' B7 ^- E4 A9 @set trade-money-total 0
Z1 F; |7 S! ]1 W7 Jset customer nobody2 l* P7 ^) ^+ Q# Y# T
set credibility-all n-values people [creat-credibility]6 ?0 Z$ @% c6 @1 R9 P' [
set credibility n-values people [-1]6 ^9 k+ f6 B* L4 Q! f! a3 O7 b
get-color" C) d; ^8 P7 ?2 _2 m; C& A+ U
/ F D, g( Y; {+ M8 y* O. p
end6 Y4 g# E0 e0 m. t) n
& c9 u9 [2 k3 d3 tto-report creat-credibility: `2 } G1 w: C
report n-values people [0.5]1 r; n6 y* _! d9 {; U8 {
end' P4 O+ F' g' ~+ `# G
9 e- s" D. X. O6 n6 e5 O% ?
to setup-plots. \$ e0 q; {9 b
. a5 O* y6 R, E; f" z k* Bset xmax 300 T$ r) U, T$ x6 o
: F( C2 q3 S0 F
set ymax 1.0; d5 s6 z, G: E/ g5 ^
* c8 {% @3 O9 v Y1 V0 Aclear-all-plots% f) O3 G) s5 Q- }# ?
# q0 ~3 F5 |0 fsetup-plot1
' ~2 C! U1 B1 J/ q1 D3 l# Z& X. u1 d1 o6 B2 S' y" g" T% o6 ~. `
setup-plot23 p% \, B8 E1 ^. X$ h3 x- w
9 g2 F4 m5 ]$ T! G% M9 _setup-plot3( A0 A! q! @ G( {$ T* V" _ ]: e. c
end) z/ _/ t1 n+ L5 x# P
8 s9 f7 C- |% J b* E/ q; X;;run time procedures K. S; _- D/ |1 A% }
. R, d" O5 W3 K0 I2 c" K7 z `to go0 z1 M3 Y: Y# R# @; @4 r) e
; Y+ e8 D$ n2 t
ask turtles [do-business]* L5 v; T! v8 q2 i w. O1 Z. n2 u* t7 @
end* b9 u) P0 @: a) g" I( E
; s/ J) J) T% v0 Z8 Z* E4 B3 kto do-business
7 z/ v$ Q% a( [, r
$ J. ?/ p) y1 U) S6 s0 `1 M; d' P8 t$ ~9 F$ J% X( I& t' Q
rt random 360+ m1 k/ F" y! H
0 D' ^' r) Z" y6 h+ T; j* s
fd 1/ R% |4 B- G% I: |) \8 o3 u7 Z
# H4 o# z$ W& I0 F
ifelse(other turtles-here != nobody)[
; g5 t7 }7 M) I6 q: s' z. G6 W+ F8 c9 M% ~* k
set customer one-of other turtles-here
* L+ U8 E2 \; H# Q
% u# Y0 M: t) P6 t;; set [customer] of customer myself T0 u1 c9 |; c1 r, _! a- i
% A" T; y4 s" S1 M: b- Y; C9 H
set [trade-record-one] of self item (([who] of customer) - 1)
" I8 ~2 U1 E3 e8 Y T1 a K[trade-record-all]of self
4 n" W! Z3 h- p E: R;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self+ g" X4 K' y; b7 C5 M% N3 U0 P
" L6 V# W3 B! J$ b" [set [trade-record-one] of customer item (([who] of self) - 1)
& b5 K) Q3 [5 S" j[trade-record-all]of customer8 H7 e( E/ F# o/ X0 V/ l! B) E
) B1 {6 C0 Y# S! t% k! e/ Sset [trade-record-one-len] of self length [trade-record-one] of self
) R6 S1 D" G2 G) k; r* ^, k' v6 J7 f; e. _# W
set trade-record-current( list (timer) (random money-upper-limit))
5 b4 r' s" M* |6 A6 @
' h3 l6 ^$ @% M4 ~+ @2 ?% L& yask self [do-trust]
8 h/ V1 `. N. M7 a0 b) @;;先求i对j的信任度
- x" R7 @1 E. |6 \4 K1 o( W
8 P, A" V' C0 F. j1 r0 D# ?" F$ tif ([trust-ok] of self)$ k0 [1 A% g8 f( _ A
;;根据i对j的信任度来决定是否与j进行交易[
4 X- T$ k1 w/ U: M' d5 F9 Nask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself$ C$ \" R, t0 r4 G- M
5 x' K1 x9 S/ N5 `; l( `4 r[
. R# o1 y& J' m9 R8 o/ y/ N
: Z& [6 I: V) d, w% L4 q" mdo-trade( D6 j8 c" a) Y; Q8 K$ p0 g
[' l' L) ]9 F* R# [$ s, ~update-credibility-ijl
) n& O* \' C5 P; K% w; x
. d- Y9 l Z$ W2 q: s- Rupdate-credibility-list
% k: C' b9 D# h* E! E3 m8 I ^! O) u8 r {6 V/ Z$ I
* v& N# R0 q- z
update-global-reputation-list# O6 a2 S. Z1 z. R# e
8 L2 \: Q4 c ^5 L+ p
poll-class8 E* [ o y" c, Y+ J
# N- x0 ?2 a% v7 k2 H3 F' H. o- O: xget-color
0 f. Q; m- |; m
8 S# A3 O0 g( k, q' M7 z* T! p" d; U]]
1 f0 A) e+ r- h8 e Z) S& D2 n
2 u: H) X& h4 L i7 `" h;;如果所得的信任度满足条件,则进行交易 }0 [7 [! D: H% R
1 C7 L& d& }6 W5 B% T( ]9 v
[
4 O1 e) W5 R) O9 d$ m6 I
) i$ F& ^$ p( Qrt random 360" o! a& q- H! w7 t' O
4 z# d6 y# q. t) j' v( C/ Cfd 1
8 c1 ~, Y: m+ o/ e1 c
9 z; ?- O9 e& u! P6 z8 X]9 X; l$ x$ a- G& G0 G$ y
2 C# W- L7 |5 R& A
end1 x5 q7 y5 f- d: D& p& \
0 l" d" ?. G1 Ato do-trust
) ~, Q+ K! ?6 wset trust-ok False9 w" O- S1 e& r, }5 M6 U; Z% Z
+ p, a3 N5 K2 ^. M6 j+ {) p7 B( p/ M
4 B& N% v0 B; j) ~# S; ~
let max-trade-times 0
. t2 O4 [3 |+ Y1 e% L' Rforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]5 ^! g9 ~1 w9 g2 F; r0 m: ~2 i
let max-trade-money 0
7 T' [6 g' R% v8 j) h% S/ j6 eforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]: M, {4 D( ]) k1 ^/ {, k% p5 G
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
# L7 y0 E6 Z% O" N% \; w. ?
w. i, B _% T0 I5 p# u1 V* L) \
get-global-proportion
5 X" ?" a9 H+ X7 T- c' Nlet trust-value: l; K. X" g. p
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)1 k( {% V5 e: ~/ V( e" Z# k
if(trust-value > trade-trust-value)/ ]( s$ Y I) c% D3 m
[set trust-ok true]; a) o7 J& T# p7 Y
end
; J5 z& ~; b2 }, J* b
0 {& Q, L2 e$ N9 F! Y3 G0 xto get-global-proportion7 L1 ~% W6 g: G& J( Z. _
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* c* s% V+ o# x- H" G9 V
[set global-proportion 0]
% n' z* t. u1 a; I0 k7 \[let i 0+ ^2 t+ q9 F/ L7 M2 h- P1 r
let sum-money 0
3 d; o2 E# e" T; a* ]7 w) e6 \while[ i < people]
2 S0 B' X1 c! F4 T1 L[
5 t9 i* I& A1 v; Lif( length (item i
; a5 H7 B" t( N9 _* ?* t4 \0 p2 k$ W[trade-record-all] of customer) > 3 )
$ H# q# ~7 w. n( `# t$ x[" L4 z9 v* M* `3 y
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
2 T& b1 L2 N1 J" g]+ D4 m" h2 \* l: v. L3 w7 U
]
' R- C; D! ? r. J; H' zlet j 0
$ E5 S3 @& E2 M6 Clet note 0
, g- G! H7 L6 fwhile[ j < people]: d$ X& e; O+ k9 {; ?% l
[
0 \! E% N7 k! X* A0 Nif( length (item i% k8 B7 k2 A+ @, r- C( Y6 j
[trade-record-all] of customer) > 3 )4 w2 i, i/ [( k3 V% B/ w
[9 y: k% w! \ g$ X( g0 |
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)0 c) @0 I& L( K1 M, H/ ^; d
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: t T6 C$ i, \' [3 Z) b[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]0 C& M6 F: }+ z2 X. Z }- H- q+ X
]9 H0 K: V0 |; ]
]5 [% L5 M5 f4 g& y, Z& e" a
set global-proportion note
0 |2 i- B/ C5 u# N4 c]% `9 p w' U l5 e
end) S& q! j' `2 ~: Y
* Y9 M/ R( L1 x) Ato do-trade: N$ J3 v. h. I) g
;;这个过程实际上是给双方作出评价的过程; F* M( l% L- G0 M, @) h
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价3 `* R9 j; J7 ? ]
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价* }& ^/ ], R8 m
set trade-record-current lput(timer) trade-record-current
. k. T* z1 L1 y9 a" }2 C7 H$ Q) t;;评价时间: h! A) Y8 z+ T" k' u6 D4 |
ask myself [' p( T, j( Z" h( z+ \
update-local-reputation/ O2 _' ^+ H O
set trade-record-current lput([local-reputation] of myself) trade-record-current {! D! j f$ P
]
* Y3 J9 s8 F/ _5 z( a$ ]% H! Gset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself4 e* h. g9 C }4 d
;;将此次交易的记录加入到trade-record-one中
7 L x1 L) z1 {0 Uset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself) g/ u( C6 T K, t9 f/ O
let note (item 2 trade-record-current )5 e1 ^$ |$ W. t+ m! _
set trade-record-current4 K0 U! V0 H* t! K* L
(replace-item 2 trade-record-current (item 3 trade-record-current))
/ A4 z6 @8 i+ D/ k% s+ z# Pset trade-record-current, E' f# s: v) u# e! N* T8 y! u
(replace-item 3 trade-record-current note)
; A3 L) e3 X' I! k) R) l9 N3 [0 O) J; l8 `, w
$ w9 G' X7 w8 p) s. R8 A# K- [ask customer [! K/ z' Y+ U, T0 Y( y, |- ]/ c I
update-local-reputation0 @9 C4 S6 j8 R( J4 r) d+ c/ {1 N
set trade-record-current
% p+ r1 M7 B% |% N! Y8 c/ a2 L(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ) M: ]/ V7 _: l: I* y( `- r
]
, J2 \$ L* T6 y, A0 S4 H' b# p5 l& p# Q$ n
* H1 b* C/ {! L/ N4 ^* G
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
* \8 P9 |8 x( r V1 R: v7 X+ k3 a I
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
% K L8 ^* T! z- U$ [& q6 P;;将此次交易的记录加入到customer的trade-record-all中 F! K6 s) m: Q* M* q& J& D
end8 }' k/ X% s$ T4 s9 H
9 ?& }, p* U4 c4 K2 A, [9 qto update-local-reputation" e$ O W5 E6 g4 ]6 L
set [trade-record-one-len] of myself length [trade-record-one] of myself
4 A. p' N( u' w/ W/ b L) s9 a
& s8 h3 N; N$ B5 C/ f6 W5 A# y6 D4 y0 u: F0 P* W6 `6 [1 S/ S
;;if [trade-record-one-len] of myself > 3 8 Z: m) Q1 R9 P2 m
update-neighbor-total3 c1 X- Y j, R9 q
;;更新邻居节点的数目,在此进行
4 _0 v% i- ]' I4 X _) a1 \let i 3
( }5 f" w# K2 o$ z* ~% B( E* Rlet sum-time 0) s( ^# Q2 p. k- w1 X/ Q Z
while[i < [trade-record-one-len] of myself]
# C5 h% I3 p+ F- c+ J0 s[( q8 I. o) Q+ z: u9 Y6 P
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
7 C2 w2 n7 D iset i& E# x7 P+ {# l9 \8 H& o
( i + 1)
' y1 }6 J. d9 @5 |5 y: N]
+ w: ~/ L% {; M$ clet j 3
$ b+ }* Q' M. G; U3 ?) alet sum-money 0. @. M+ Y [' ~. l7 C, ? r' Z
while[j < [trade-record-one-len] of myself]6 Y: n4 s/ t3 B
[
5 M; s0 ~4 `: p R( O5 lset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)' J$ |; P. S- v+ H$ @0 ]' Y
set j
' k; U: w P1 ^4 _* B$ C( j + 1)" N$ ~9 k( W; j/ h+ v1 B
]
) v/ t/ a# t7 L3 o+ i) n4 Olet k 30 G; n8 v9 p. d! Q
let power 0
5 n1 a. _1 g+ Z H. klet local 0" ?6 P7 E' v3 w( @, @# ~
while [k <[trade-record-one-len] of myself]& a$ @3 E k" F1 Q7 M4 b3 Q
[' J% q; P. R7 C
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 R# G" K& H X
set k (k + 1)
+ l8 r7 ]& o1 @+ V], J6 R3 B) {, \4 K( E- o
set [local-reputation] of myself (local)
1 }' B3 W: l6 s& t8 x0 @2 Uend
1 w, T/ n2 K. w( I. N+ s1 D: O5 _0 A& H0 }) b; `
to update-neighbor-total2 @5 p; }/ \( a# Y, h
8 L% `- k3 Q+ X
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
6 X) g I- S2 O2 g) t6 Y6 C) y! q: ?, J# u
+ i& z9 r1 S. B* d
end& s0 W& }0 Q6 Q: }# U
& L+ G; \7 {& [3 t ^* v- d
to update-credibility-ijl
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+ k! B' R! l! U. @& w;;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。% L# T6 o' n `& L0 B* k: {- n
let l 0+ d# q$ C G4 m+ N) c
while[ l < people ]
9 Y6 k( [: {$ s5 ];;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), n3 o8 m C) v" ?% s
if (trade-record-one-j-l-len > 3)
; t/ x) u# ?( N5 d* q* u1 u[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/ S9 Z0 Y" E) r7 y
let i 3' Y9 p4 X! |$ r2 J, v
let sum-time 0' h- O/ n# w, c) _. b2 W) W8 {3 K, X
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
' ] Y- _( {( N+ Lset i
! }# Q G! d; l( \( D6 s( i + 1)
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2 p0 m- V4 ?: |let credibility-i-j-l 0
3 {9 t1 Z! A( B/ d) {; _;;i评价(j对jl的评价)7 ?- M5 l- z5 f1 _! B- C! T" O
let j 3 p) j* }$ ~2 z$ |
let k 41 F& Z6 y+ @2 C5 Q8 n7 I7 b
while[j < trade-record-one-len]4 j9 s" g* p! ?6 t/ e
[
& J" u8 d) Q1 L5 }7 S9 O: twhile [((item 4(item j [trade-record-one] of myself)) - item 4(item k trade-record-one-j-l)) > 0][set k (k + 1)];;首先要寻找在i第k次给l评价的这一时刻,l相对于j的局部声誉1 x( f9 n$ {# p
set credibility-i-j-l ( credibility-i-j-l + (item 4(item j [trade-record-one] of myself)) * (1 - abs ((item 3(item j [trade-record-one] of myself)) - item 5 (item k trade-record-one-j-l) ) )/ sum-time): ]) C' X" q1 e" A6 A- c
set j
8 W* D7 \2 \0 M, O+ A$ C. b2 Z4 {( j + 1)1 _4 ~) J& L8 I' D( `! k; n
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set [credibility-all] of turtle l (replace-item ([who] of myself - 1)([credibility-all] of turtle l)(replace-item ([who] of customer - 1) (item ([who] of myself - 1) [credibility-all] of turtle l) credibility-i-j-l ))
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$ T/ D$ T; d% Z% n/ D3 ~1 n# J) rlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
$ N4 v' [1 L% n4 w;;及时更新i对l的评价质量的评价6 O7 K9 L$ R& m g# X' K" b2 @" X. X6 j
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
8 \) E6 j: ~6 D6 x, `) w! ~set l (l + 1)
, }6 z) t' f% l# b8 N]
! ]. {5 F- a: @2 } B; d3 iend
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; C5 E3 w9 \) y' Hto update-credibility-list" i. Z, B- o& K3 C( w8 j& L0 g9 f$ N
let i 0
9 y, Y% d; W2 x) M3 ewhile[i < people]( Q) U3 e% \6 L. W% I& I
[3 z6 I/ D% @ U- t/ j* M
let j 05 n: l, k* f9 g5 v7 w& I
let note 0. S# e) B) {( J+ Q/ y
let k 0
2 a" y( M6 T" |( J O* G. u( \6 D;;计作出过评价的邻居节点的数目. W) \( P0 ] N
while[j < people]+ _3 D1 D" C& k/ U4 S6 u
[
U% b0 [) T8 P7 T3 [; Oif (item j( [credibility] of turtle (i + 1)) != -1)8 e/ M2 U. w6 y$ L
;;判断是否给本turtle的评价质量做出过评价的节点6 d" j: H/ ]$ H" S
[set note (note + item j ([credibility]of turtle (i + 1)))3 O0 E9 a& r' p+ i4 K7 L
;;*(exp (-(people - 2)))/(people - 2))]# B8 r' O& c8 ~( f2 N8 g7 x" w
set k (k + 1)
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set j (j + 1)$ W( E: s/ y! }
]& N& @1 K& U0 X6 w; C9 n6 q
set note (note *(exp (- (1 / k)))/ k)! B1 e Y# _& o; \
set credibility-list (replace-item i credibility-list note)
0 u7 H/ L0 p4 k$ ~8 @- l5 Q/ S- tset i (i + 1)
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end! X7 C" N ]; f0 l7 Q$ D. a2 n5 ~
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to update-global-reputation-list: z' Q! P. w M4 W: ]
let j 0* a& |% R, K9 l2 w1 Z& }+ K
while[j < people]6 W# M# v* N" v" y% ]
[
7 w7 t2 ^- x, V/ Nlet new 0
9 i+ W; D( Y9 H, e- L& M+ W;;暂存新的一个全局声誉; t! \" J4 m; G/ x3 W2 U
let i 0" z8 i. V0 j# O, T
let sum-money 0
+ v- T: M' `! K# N8 Jlet credibility-money 0: f% }% E: d) o6 j4 [0 o
while [i < people]& y* d2 U4 l5 Y4 O: Q5 E1 u
[3 r" q6 w3 a7 I+ N7 U6 t3 F
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& J8 z6 k% ]; `4 O+ dset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))& C t. _; s9 b9 m" q6 K
set i (i + 1)% _4 K8 C6 C) a* v# _; X
] o& ~# C5 U* Z+ F) V
let k 0$ A! Y; ?/ r Y* ~4 Z" |
let new1 0. ?% w; }" L. w6 j0 I/ z
while [k < people]
4 O$ u& z. W1 T7 Z0 ~[
8 j, N9 Q. h1 C3 A: ?0 dset 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)# j1 |: h: w' K
set k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 6 `9 }& B( T2 n" O! S! I* a
set global-reputation-list (replace-item j global-reputation-list new)3 Q3 w5 B$ z+ T
set j (j + 1)# G9 I. {' V' F, k4 Y& G( m
]
t2 v4 S/ u4 _0 |% l# s, b& |: F0 i4 `end' m' f: D; P9 A; r" J* k7 u
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to get-color w5 H& U: [& \/ F2 v0 q
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set color blue; B6 `; h" u, `- A. K
end; K- o, x+ U& F3 o3 ~. G6 e3 {
; A; D; l' t. k
to poll-class* l p/ k& f: I
end
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! c2 ?+ o( P/ H1 x% ito setup-plot1
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9 E2 \2 N- }+ R- K) D; N" n9 Gset-current-plot "Trends-of-Local-reputation"5 |0 _5 k. Q0 G, L
) [+ E: r/ a3 p6 H0 W
set-plot-x-range 0 xmax* k4 E- L1 X! o: {- p) T
3 ^( j+ `2 ^2 _) l9 y' ~: @set-plot-y-range 0.0 ymax b3 Z" ]0 V/ U' Q. J/ _3 `
end
m2 x3 F7 r& I X4 z$ a, A
+ p' Q% }% j- J0 A8 P6 _to setup-plot2, m7 m' m# ^* `* G2 u8 h
: w2 O2 c7 b; d. M
set-current-plot "Trends-of-global-reputation"
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4 ]2 \2 t* a6 ?& v/ }4 Bset-plot-x-range 0 xmax
- f' m" O8 S$ y0 X+ a* @9 T7 {! x6 Z' x* |
set-plot-y-range 0.0 ymax: I& F. O; I2 c. @) P% d
end
H/ {" i& s4 e6 U
* B( i4 P* B" Q+ V1 _4 H) {, F! Cto setup-plot3
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set-current-plot "Trends-of-credibility"
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set-plot-x-range 0 xmax( l* p- r0 j* B. s
% R' ~) p; E$ ?* ?* }. j) Hset-plot-y-range 0.0 ymax/ K2 {# q' r9 L6 b5 n' F( i& W, E) V
end7 @+ i: B5 N- S+ r- T5 F- i
* z& \1 k8 N* ?# ^! s+ }to do-plots
4 ~8 y+ ?1 J% M7 Pset-current-plot "Trends-of-Local-reputation" g0 S$ x9 f3 H6 D' h
set-current-plot-pen "Honest service"
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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