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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/ i2 k& Y6 O5 H. f
globals[: B8 |( V5 |% T* P+ @% a& x& P
xmax
* x2 z0 B* f( ]2 K; d2 y/ `ymax
5 C: n1 u! n2 p- tglobal-reputation-list3 J1 }7 ~. \4 Z. u9 c9 Y
; k3 E q, H0 V, p. B" H# z
;;每一个turtle的全局声誉都存在此LIST中7 b, e+ f# b4 n6 @! D$ y/ P
credibility-list. V) p; _7 l# E5 L/ s
;;每一个turtle的评价可信度$ k/ u/ }" ^( I- ~/ P1 y! b
honest-service& M& F4 F( X9 ]) w
unhonest-service
1 U( v; E6 {" x8 v. Hoscillation7 f5 V3 D- X t$ P& _6 Y. z5 J
rand-dynamic
8 w! @1 m. @& Q]2 i7 ]/ |% c$ D, c4 `1 L7 I
* L+ i- Z8 @) G% w3 Zturtles-own[
' x* v/ _8 D: b g2 gtrade-record-all9 l2 T0 ^" s) Q# q2 t
;;a list of lists,由trade-record-one组成
8 ~$ H. h% K/ N* B5 v! u0 Wtrade-record-one6 ]* S, _+ i) \- S2 Z v! t
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录2 g) k0 r) J" B4 b, c
4 n3 T0 t- m4 o& n% I
;;[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]]
U1 b$ ]" S; K1 |0 ptrade-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]- X% y. |7 w8 o* b X' q
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
+ v! h6 K) [2 J& |7 M( i8 bneighbor-total9 U/ O0 V d' V/ m$ c3 n" O
;;记录该turtle的邻居节点的数目5 ?0 @! f" R( W& E' B" v
trade-time: U1 j6 e8 E6 \/ [3 @% o* R: F% s
;;当前发生交易的turtle的交易时间+ Y8 w7 J+ S$ ^4 M9 K' \# h
appraise-give, i9 I4 ~9 X6 u E2 J
;;当前发生交易时给出的评价5 O* Y Z6 ?3 i5 K1 I' W- q! x
appraise-receive
8 C2 s! ]9 \. g, h, l; C;;当前发生交易时收到的评价" e9 I8 G! n8 }/ e" d5 w
appraise-time$ ?9 p$ c& s! R
;;当前发生交易时的评价时间
+ ^8 a- I& H+ z1 V! Rlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉+ G0 J/ t3 E1 ^* g0 w0 z
trade-times-total0 @6 ~2 S. t* g3 v- t) \
;;与当前turtle的交易总次数9 \- \% O) F. l; s) X9 c/ K! p& d* k
trade-money-total
- {3 m7 \( F, c! S7 a;;与当前turtle的交易总金额5 u+ h9 ?8 Y# X
local-reputation
0 J' z+ X" K0 m6 hglobal-reputation d0 K' W. p* W" x
credibility
/ e5 v2 M; v6 c# |2 ];;评价可信度,每次交易后都需要更新
: u' f' k7 z' n2 v6 e: B3 k) i; _8 Bcredibility-all
+ }8 U7 d" I2 D' W8 x8 \* m* 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. G, |6 o% O2 P) W" J% i, |
9 e+ O$ j$ S" h! P1 g' W5 X! L;;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, f& K4 }; j' e: z# A d9 kcredibility-one9 n1 `* P; m3 ?% } S0 p, i+ Y
;;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2 @; h6 F" U+ N; A( b* I
global-proportion
3 {' ]" k1 [8 {* k' I+ Y- Ocustomer P* ?4 c) z* ]( P3 C
customer-no' W2 {) T- a3 F+ {3 {" N; `
trust-ok
3 Y3 @$ g' u5 s9 u: y9 q3 Z& Dtrade-record-one-len;;trade-record-one的长度
8 R8 z7 x0 O4 g0 @) @7 p/ q: {]
' ^4 z1 K8 q" B9 V* P. }$ ]1 }+ N3 K' L& l* D& G" j( o
;;setup procedure a# \5 S# M8 Y% Q: ]& j
7 V0 I8 v/ a1 ~- w# i8 R4 H1 w
to setup/ P: J1 d7 E' O& u
0 S0 f! V( e# j) \ca
3 S1 P [8 W! o v! G
- Q( y5 J# p1 O- {4 Pinitialize-settings
; _& p( `/ J; ^
0 a- j% E8 ^. A Q( _& kcrt people [setup-turtles]
1 i; E3 X5 j# S3 [% m1 k3 O
+ d$ L. H: z1 Hreset-timer
9 u$ y/ B$ y% a$ r* {( Q& z) Y$ B$ n. K+ k* Z% Q! b3 o B3 U- Q
poll-class2 h9 y) a* l8 c* v7 v
9 t+ }& F4 L; u8 V l
setup-plots
* n- C6 G: r. m& x
6 p2 {4 V, G' P% Hdo-plots
0 o7 m, J0 J4 C. T4 Y _" j; i' r! aend# k- p2 P# P3 y7 R8 t- a$ Y+ e _1 L
! q9 N) f3 i1 C" S
to initialize-settings
; M6 j% C; t! k( L* s& @$ s& O
8 K$ X+ {# c8 R0 }7 oset global-reputation-list []
: b/ G9 |$ Y+ Z! n
1 ^, X+ c, S/ ^1 D4 Mset credibility-list n-values people [0.5]
: K% c1 X+ q' ]( F
% V. N: i8 c$ Cset honest-service 0
! h3 p( J: D; K; P
$ j5 |: R5 r k' L) E1 D# Kset unhonest-service 0
8 }6 E9 v0 p$ g/ D/ f# D& ?: c* V$ p% |5 l4 s
set oscillation 0) }3 t$ q2 k, F" l; {" [
6 G3 e& n) Z5 X& ?
set rand-dynamic 0
0 c) ~2 V8 F! a5 Qend! X O% b# [$ P( |! ]- H
: g( W+ K. b) `to setup-turtles q% J" R7 o$ p. P# |/ `8 F$ \
set shape "person"7 f- _: C; p6 z: n2 S4 U* {% r
setxy random-xcor random-ycor
% P0 }5 p3 X' g( {3 d2 ~3 cset trade-record-one []9 u; |& [$ P2 S' U" X4 r5 z% w
* g# M. K9 o: n# Z- s
set trade-record-all n-values people [(list (? + 1) 0 0)] " \0 \6 X9 K- Z3 w5 k$ y5 D
( q& L- b+ z. O. {. T% ?$ F
set trade-record-current []' ?7 v( w! g' c8 G3 ]( |$ Y
set credibility-receive []2 e Z3 y& U4 }% _
set local-reputation 0.5
5 W: t/ }% M+ w: p/ R- ~4 yset neighbor-total 0+ _5 c+ ?" m$ R! l4 S
set trade-times-total 0( U3 r1 c! y# |% |+ @
set trade-money-total 0
4 O$ O! f5 t! M: h% N- T+ i! nset customer nobody
9 h9 k6 F3 a0 Wset credibility-all n-values people [creat-credibility], z/ K( ~4 V1 w( q
set credibility n-values people [-1]
9 [, H! ?/ B) Y/ V9 c2 ?. l4 r& M+ nget-color: g4 j1 x& m0 s) `% b( V
- f- H' S* C) Z0 k
end
% r9 r* |2 K0 \( z* @0 N0 w1 U% t5 `% A5 i
to-report creat-credibility
& s E! ~4 H% ~/ `& c Rreport n-values people [0.5]: ^7 u, x* e" Y. L1 a8 l
end
+ G4 D7 }7 B, `. o P5 D9 @; G
# ~0 j' g: T1 @4 a1 @" Gto setup-plots: a9 W# L+ g* I0 W
: |5 r3 d' u, ~# @& D- }
set xmax 30
0 y- q$ Z0 X5 y; q# a
% s6 V I" a: g- K5 Vset ymax 1.0
, @" [- a$ I2 T5 r2 ?0 ?# E$ w& f: s
clear-all-plots, X6 C$ V* i, i6 T
% o$ u0 D0 p3 u3 P( R6 i
setup-plot1+ z) D3 n w. F( x4 b, u0 V( S o
+ }! s( S' y) v. @9 zsetup-plot2
' P6 k! ?/ d4 a) D
( ^% P- @9 t- esetup-plot3
8 j6 O* z% A" Y l: p- gend
* M# c0 ~$ k- _4 O+ m6 e! U0 ?3 Z* H+ f
;;run time procedures
0 o8 Z( S6 g2 j, s- y+ H
2 ?& l1 K8 z7 N% dto go
, g: L* O4 w/ n" Z$ H" h* \/ G0 o- D4 k9 T3 T9 I" X6 j7 M# y) n1 y
ask turtles [do-business]
5 V# q. B4 t2 S- \end, U! ~0 [8 _/ W; y) q
! x) \3 v( s4 ^! a! u7 p7 Pto do-business
4 ~+ v; r4 A8 K, F
6 m& M( P$ i( l/ S6 ^
1 z1 K# X" I. Vrt random 3600 t. |& p6 H) n2 Z8 ]- V7 n! L$ e
$ e7 J5 P4 v# ~" x
fd 1
& |$ l. T0 P3 T, T# E( r3 b8 Z, U
+ \& R1 p- k. I* L& N% U8 q9 Lifelse(other turtles-here != nobody)[* f, `+ j" ~. }' a4 K+ U/ O7 O1 |- Y
4 v, S U: n. a J" l
set customer one-of other turtles-here: O$ M9 {1 b$ J
/ Q. v! p9 W4 v" s: K, F( ?
;; set [customer] of customer myself$ m& G) f3 L* N
0 W( T8 q& F) s4 y6 ~; R8 K
set [trade-record-one] of self item (([who] of customer) - 1)- u5 _; G2 u- K
[trade-record-all]of self! [' w, F7 u- U
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
& L5 V& v# H8 B* b
2 f; s6 w/ s! [( f* K! @/ Iset [trade-record-one] of customer item (([who] of self) - 1)
3 z4 S. N/ D6 }' v- i[trade-record-all]of customer N& y( Y* |1 N9 l; u: V; t A
0 \) t/ I; g l9 g# P4 {set [trade-record-one-len] of self length [trade-record-one] of self6 K' F4 Z- K+ Y8 t2 `+ b! J1 ~
: }/ _5 E* ^0 |2 y
set trade-record-current( list (timer) (random money-upper-limit))
{2 Q7 m9 }) ^* h( x$ ] t4 X" K) k' L* [5 l, d
ask self [do-trust]
3 ?4 w7 t* U- s;;先求i对j的信任度: [& b0 e4 V$ v. {$ E. N; k! ~3 T
- N) |! m1 P9 J3 s: W
if ([trust-ok] of self)6 e; f" ~) \$ G) c! [ P {: S! j
;;根据i对j的信任度来决定是否与j进行交易[' l! m: K1 `$ ^
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
: A# Q6 m6 N8 T- F
, X# h( l3 |7 g& H: t1 Q[
3 [. e. R$ [6 ^3 j. w6 A
' T B) Y. D( x+ U1 Sdo-trade# ~2 b& M- `, n: ?3 M4 x+ D
C( J4 w" a( k( S. j r) yupdate-credibility-ijl
- t1 k/ x0 A" N/ ~' X+ l- r8 K# R5 ?8 [; D) n
update-credibility-list
8 a* U; m8 M3 B) U6 ^) r
; A, t; ]: o/ v+ r L/ O( S1 H2 L. Y3 q4 h- _# @
update-global-reputation-list
- M6 a* `; D$ v$ e
: j- G- C+ A1 Y- m- E; f5 upoll-class
5 @* \: C! x6 w0 w0 d8 {0 k: I, q, S$ T8 d) X
get-color
T2 w, Z4 C; k, f4 ~' n, g
; D: }* ~1 z0 p8 Z5 \, f) t$ |+ a]]
M5 h% l( { G7 J: j
# P- _6 ?+ H( {$ g;;如果所得的信任度满足条件,则进行交易
& `# \2 |; B5 @4 A9 }( u" o9 g8 s W5 Q( m
[
6 j! g( ^; Z4 z7 G
: T+ w! L+ \- t/ ^) S1 Q& r+ S3 Art random 360# I/ M$ D% Y& U, K2 Y
5 H+ i- ?. L! Z0 v3 i1 p1 B9 \fd 1
- O/ F; T9 G1 @9 i' y. s, _8 I/ B3 k1 M! k- ^2 T/ y7 @
]
4 q' V7 c [; Z* E h5 R. g# L) ^
end
( y3 g( d" [; d
/ e+ O/ Q- d0 f$ Jto do-trust
1 M& b; S/ K7 _set trust-ok False/ h: y! `4 g3 o' g/ v
- L5 O2 s4 ?; J7 R1 [( p1 [
; T$ x/ Y# ~* V( b# A l' S
let max-trade-times 0
. ~3 k% X1 Z$ l) z g! t" j. N. bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: S$ T, S u1 a+ E$ d. j3 U6 flet max-trade-money 0
4 Z9 _) j* V. K- vforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
1 u2 b; \/ L% a* \let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))6 q' D/ n* I" t% E, ?
0 e) {2 P1 k1 r9 X
2 C. P" s. u+ v% `; ^get-global-proportion5 T; u. z7 a' z; C! P/ p9 {- {
let trust-value j( K, |( ]3 P. @; I5 C2 D- m ^) a
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)/ M0 c- `* I: `: x3 B ~
if(trust-value > trade-trust-value)
6 `$ [& f, }9 c/ j N[set trust-ok true]
' d4 X/ x' t, u: Fend
/ W) z" `0 E" \( Q# C+ p3 t0 O, F9 _2 j1 J# ~0 W
to get-global-proportion; x. ` C# b5 k1 ` H. j
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)* N$ b2 H/ T7 }7 w/ G* @4 `
[set global-proportion 0]
# F, k' u3 Y' E4 ~[let i 07 M2 n/ H8 e6 @9 A9 {
let sum-money 0
1 w4 H7 `- m! s8 q n% j3 U6 Bwhile[ i < people]+ Q" }4 }0 ?" I& o( p1 [
[
( v& l8 ?- _3 [+ R/ @if( length (item i
: E3 d3 Q+ K3 e3 p[trade-record-all] of customer) > 3 )
% O+ P6 P5 t' A1 B[
6 V) @+ {* {+ Tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
6 ?9 @9 P' b- R3 `3 S1 P. W* x) j]0 y/ D! Z" ^4 C& L- I. D3 S* ]
]
' n; s) D7 Z1 i3 V5 k& H i2 Ilet j 0) L4 P7 x8 S! m
let note 03 y- i# `9 t2 {; c4 P' \; R# q
while[ j < people]
/ p( g; A) A" E) k* F1 E( U$ I% c[
0 ]% r/ X" t( w6 bif( length (item i
5 S* t! m) m6 |' ^& E[trade-record-all] of customer) > 3 )
6 n4 t9 M& y, U: s3 e4 Z. m: |[
, t9 H4 \ ~6 Yifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)7 N" q* |; d! J, _2 T/ {( \8 ?9 U
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
' m; J4 R& q9 s$ _[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]* H g, [! p) W- i' `5 G2 N
]# y# E( k$ _1 Z% U1 r* P
]
8 T6 M# Z0 l" n5 k2 |1 e K* c4 t& h. Oset global-proportion note
2 u" p! ^3 E! C0 a0 o( q* n]
% y" @- d+ b- Mend* w% ?. y L+ h1 l& J6 k2 O
+ ?( T- w# d+ ?# f) g G
to do-trade+ D1 g* {% [4 u$ A# n0 o! u
;;这个过程实际上是给双方作出评价的过程
" s" D. K. \7 J. dset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
5 E$ ^. p3 S. h0 ?set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
2 [9 B6 |9 u$ q: i. w4 k5 a+ Gset trade-record-current lput(timer) trade-record-current
" K3 [: y$ X) {, Q$ H/ T" B0 L;;评价时间
( T% @- m3 v# A. vask myself [
. e6 ~. a7 A. w7 W, Q. Gupdate-local-reputation
# Y$ r1 a6 L& T6 Xset trade-record-current lput([local-reputation] of myself) trade-record-current3 Q5 _4 Y: P4 j5 a3 m1 R7 E# ~
]
( `/ v f) C% _* Iset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
: n* I/ O, V6 d% G, e;;将此次交易的记录加入到trade-record-one中
2 R6 g c! M2 X6 Jset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself); d3 W* [0 F' M; p& \& b
let note (item 2 trade-record-current )
* r. I8 H- @# F& x" Z7 N s Jset trade-record-current9 l; Z) r5 p% U1 b: W/ x$ \! C* ]
(replace-item 2 trade-record-current (item 3 trade-record-current))& q( Z- q; h. @1 l$ O
set trade-record-current& }$ a3 i- t" A: n6 D; p* ~
(replace-item 3 trade-record-current note)
1 q, ~3 @) K+ u: T
n( W7 ]2 G0 d5 `( l; x% L9 W% y) \( P1 ]0 V& k4 l
ask customer [
( p6 e; c/ X2 Z& k2 \4 E0 N6 b4 V( Dupdate-local-reputation
5 E# ]& T" [4 r+ l$ Fset trade-record-current0 ~4 c0 A# Y# H- N+ r
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
1 T$ C8 G; y5 w' L9 ~7 j]' \+ k9 n2 f+ U. U% ?+ x% l
$ F9 |* A" L) o" F, i, I9 N+ @5 z2 E2 m+ F: V& j8 u# g: R
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
' Q7 K4 i+ ~6 ?
% s; m4 t7 A0 e; N6 {set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
E) \2 q: K6 {' }; ~' f;;将此次交易的记录加入到customer的trade-record-all中) V9 k. h8 u V( G
end
" ?! N, c+ a$ q% y2 i; X# M
) p6 H; ~$ ^5 T* I D& W, L5 Vto update-local-reputation9 l$ j! u; ^9 _ R
set [trade-record-one-len] of myself length [trade-record-one] of myself
+ E( \5 C: g3 a- {
; O! {' j$ W6 r4 `
+ E( f+ c( S! Q' P;;if [trade-record-one-len] of myself > 3 2 f. s! r5 y+ o7 ~9 Z
update-neighbor-total& ?4 d3 C' C/ R
;;更新邻居节点的数目,在此进行
* e3 }' N* \3 E6 ]9 \; z0 Mlet i 3. _; Z% Q U8 P7 U+ j7 P! m
let sum-time 0# r8 ]0 g" D. _! U& u, q
while[i < [trade-record-one-len] of myself]
( Y @+ Y) T4 E$ ]$ S, s[+ U* X1 U8 N" w. X9 u; I0 X. j
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
! L b; E- G, E; L# O- zset i9 V, L% b. }/ j. f
( i + 1)
' P+ @: K, c6 h8 f]# Y' X$ K) i% F s' m2 }
let j 3! ?$ o$ i3 [3 o( W7 z9 k
let sum-money 0: g0 Q0 G% k% S
while[j < [trade-record-one-len] of myself]! |, B$ K5 ]) }6 p; Y4 r8 v x
[9 p5 N0 F3 d7 {* X: i
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)* x! }& _ i1 u9 k
set j
* u, b) h# X$ s& L$ T# P1 z0 i; A5 B( j + 1)
$ |5 j( g, H( \& c9 []/ t. {+ ]; J* i1 }4 g
let k 3
9 h" B2 T W) zlet power 07 @7 I) Y' g# u! l
let local 0
8 b* B0 G3 s& l3 S* nwhile [k <[trade-record-one-len] of myself]: Q* g8 m, c) L% ^
[
" g; w. T: B( yset 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)
9 |2 }' Q0 j( [' f. wset k (k + 1)8 r8 ?* F9 V: d! t; d; \
]- B8 I2 O, s7 @8 ~* T+ T
set [local-reputation] of myself (local); k, G5 C w; l) w7 @2 Y0 m0 p$ ~
end$ z4 P" K) ^, V: u" d) J
. {* \7 j: X6 Y. X n0 N" Zto update-neighbor-total+ t* X5 j" Y4 P
+ h, U8 d0 k( _8 {$ nif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
- q/ w3 [% [5 ?: a+ l# ]: }/ B+ T+ q! r/ r
- G7 \& i3 y. j. ~
end9 `" Q) Y) K2 [3 j0 N
" a' B: x0 }1 K6 _to update-credibility-ijl ( d0 j6 u4 d1 H% `) P
# N0 j! V3 h4 {$ ^4 t' D; r, g;;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。
9 B% j( E4 i' z, ~& Hlet l 0
2 E" W, F3 \5 D, X& wwhile[ l < people ]- E5 Y, u5 b+ A5 Y j; b
;;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)
/ Z Z5 b5 R% A zif (trade-record-one-j-l-len > 3)8 [8 g% H! a& [. P0 Z
[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
! H5 s( o' K2 }5 G4 a. q" Blet i 3% m! O$ Q( c) d( |' o
let sum-time 0
) d7 c3 ~" }4 W3 Z6 h% ^0 |' ?while[i < trade-record-one-len]8 z0 b4 Z* Z% l/ U+ i1 U& V
[2 E, V0 |( G% H) S' E
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )5 w' J7 V$ w/ u1 r
set i4 c ^1 D0 P& |$ E
( i + 1)
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' Y1 f1 t/ D+ ?, v& l! k9 A& Rlet credibility-i-j-l 0" a/ Q9 `* [+ z4 i u
;;i评价(j对jl的评价)
1 F k6 O1 E. N, jlet j 3
4 t r$ g0 m1 f; {2 g" rlet k 4
x3 H, [6 I5 C4 @9 ^while[j < trade-record-one-len]* c) G+ U5 e6 p1 ]6 J
[
- F. @% A& v, M% X8 G$ p9 Mwhile [((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0 C$ c3 ^( e& V' t; h5 d* \/ b
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)8 C" p" P- z4 r: B0 U( G. g
set j
3 c W2 B9 }5 n3 @1 j$ {+ M( j + 1)5 e3 A1 m. X# |/ y- I
]3 o4 {0 l5 y0 ]9 B K
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 ))3 d, n& y, l" |, {# w9 \; e9 y
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))6 I6 @& y$ \3 C, L* T* ]# ^
;;及时更新i对l的评价质量的评价2 a) L% ]* S" S3 y: E# a) d, L2 J
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]3 ]% v% F0 D `/ ^) \6 h
set l (l + 1)
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# R. t7 g; K( z1 Bend" s$ k3 W# m" u; S. Y. j5 e- W
: k" j V/ r* U/ xto update-credibility-list
6 f/ O* W" N4 s; zlet i 0! Q: G4 y F0 Z Q' l) G6 Y; S; s
while[i < people]% _0 M2 f* U) j/ a# Q+ V7 q- p
[9 p& D% \& z( S9 K) Y/ m& U5 a5 [9 }
let j 0
) H( t+ ]( ?0 `1 L; Y+ llet note 0
9 \9 G5 K7 p8 e: a- Nlet k 0
( J4 Q" A( P1 \5 G;;计作出过评价的邻居节点的数目3 B$ b* Y$ U. A& C* \2 D: s
while[j < people]. X) G9 s3 ?% D( s5 k
[
9 T9 W0 I% X" b/ [if (item j( [credibility] of turtle (i + 1)) != -1)& r g) Q$ F' R8 L5 |1 Y
;;判断是否给本turtle的评价质量做出过评价的节点
7 D1 |& K2 _" _: z! M- ^[set note (note + item j ([credibility]of turtle (i + 1)))" [5 x; @3 e+ e$ i0 F' a$ P3 @1 R
;;*(exp (-(people - 2)))/(people - 2))]
9 L* T" i! y5 r/ B1 U/ e! cset k (k + 1)
, ]9 M' u7 u, X! Q]
3 t. O7 O% z4 _/ g' _" r- _# Cset j (j + 1)
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set note (note *(exp (- (1 / k)))/ k)
F* r( q& O+ f# U1 Lset credibility-list (replace-item i credibility-list note)
! A0 O5 w5 z oset i (i + 1)# P3 C9 D9 C# L) O0 H
]5 r5 P. Z9 _* {# i2 e* k, P
end
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to update-global-reputation-list
3 }/ ~/ i5 Y. z1 W$ ?' ]! clet j 0
2 \$ @* w8 K. ^: hwhile[j < people]- d& F$ f* O* }: N7 x
[/ S$ }8 [, s* p- j& X! U% j
let new 00 z9 j: J W) {& j h) _
;;暂存新的一个全局声誉
5 Z. E' Z, ]- O; mlet i 08 w' R6 Y7 F; o
let sum-money 04 F& I8 h: H% C" P9 J: V
let credibility-money 0
3 T# Z' ] B: ?, c8 [while [i < people]3 ^% t! m( Y8 |- i# A& e; l7 o
[
) h* D+ n* K2 p) m- ^set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))+ Q4 W7 W7 x- u1 g' k3 A
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
, b3 {/ p( ]. M: Zset i (i + 1); g. d/ m7 B& H6 U
]
! ~+ X/ E0 g+ g) ] Jlet k 03 Z" ]- A( M* ^" ]" t
let new1 00 H- l3 ` H9 k. s7 L* P i4 C
while [k < people]
* F% W: |# _9 d( Z5 C[
, j) Y- Q- _: _3 C2 o3 V2 L1 eset 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( z& i3 h0 Z6 m5 j; E
set k (k + 1)
& K+ F2 N' m' ]* p" V4 q]
8 D) D" f0 e/ l! O* c7 P$ Kset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 2 F: M# R) L" ^7 }: K
set global-reputation-list (replace-item j global-reputation-list new)
3 s# V8 ~$ B) D/ b4 s- U5 W3 a& d/ ^set j (j + 1)
2 V3 M8 W" s4 t9 D5 q" f]
% \; y1 W' J# U6 H! K+ A7 Xend
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1 x# q2 {+ C: t3 d+ ~- z+ S4 l+ U* K/ \
" N; L5 P) k; H: t' Z" X/ N
to get-color
. N0 z0 D& n* l9 t( d" [/ ^% y# h4 n. I- k- v( S
set color blue
* M9 c$ a7 g. }( W5 ?end% L/ ~& b4 S3 K, U8 E/ S0 {% {
1 z0 P; f: A& c0 ~% E8 Ato poll-class
: [4 Y& z# w, g! h) D- c' wend- H% c+ ~4 D% _8 W, m/ U
( j! @8 T: P, Z9 L
to setup-plot1+ _8 k) D6 S% l) ?! r8 w
# W" {6 E" w! m" Y. O7 j4 i( |2 xset-current-plot "Trends-of-Local-reputation"
4 @" O% x1 k; h7 y, r' x) [" w( e ?5 R% ~* d
set-plot-x-range 0 xmax1 b( @* Y' M' m
: f6 |- b/ B, U$ E4 S/ @/ i
set-plot-y-range 0.0 ymax0 }3 _9 ^+ |+ K4 C4 J
end4 s6 i) p5 m6 K
1 s6 e9 ~8 T! V/ t' y/ ~& ]" Mto setup-plot2+ H6 Q0 ^8 i# K" d0 o! h3 e# S
. K. M& N. _- X4 H% O
set-current-plot "Trends-of-global-reputation"
8 W' Z% \3 G( U# O2 }
7 [6 R- s! z6 r5 `0 W; [# I. ~' qset-plot-x-range 0 xmax S1 l5 d Q" b
& V" s) L$ N/ p* _! H1 M) a
set-plot-y-range 0.0 ymax
# \+ h3 M g( z2 c. o4 jend4 n. c7 m1 f X
' I7 W9 M, z5 T+ K& Hto setup-plot3
- w$ F% C7 X. B' b
. a8 c e/ w1 Z1 uset-current-plot "Trends-of-credibility"
+ S6 _7 @/ O7 l5 `1 N5 I( l( e @9 ]2 n9 i: |& Y! @7 ^
set-plot-x-range 0 xmax
$ A4 i) o* e5 c
6 \9 r- e0 q/ O5 R. O3 J3 M4 s5 Kset-plot-y-range 0.0 ymax
; O! ` B6 H) m, ~( k+ j$ U5 vend) l2 E8 X x1 T* o1 F# r
" \; l4 N Z1 h5 `to do-plots
" _& F5 Q6 A; d: y6 Cset-current-plot "Trends-of-Local-reputation"
2 {$ d; j* c5 |4 q2 Cset-current-plot-pen "Honest service"
! w- o* s; M4 D+ \" d( ~$ j7 G. Mend7 q9 Q# {* v+ r! D
: U% J! k7 o3 ^6 |! ^# G[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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