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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
% f3 s( [; S$ A* Z* J* ~globals[3 i# \! [, K( S& L7 J8 }0 E
xmax/ J# D, l4 W5 U7 G
ymax
4 W4 ^) D; c ]# B/ V' `global-reputation-list
& Y" v0 a8 W7 `! T* I! y+ y' P }
6 M- S) q, j8 e/ Y;;每一个turtle的全局声誉都存在此LIST中
/ u1 a) X& o& T$ X' l& |credibility-list h& M/ D7 C( G* b
;;每一个turtle的评价可信度2 }# T e' Z- a
honest-service* r( k3 F8 Q5 n
unhonest-service' {- h ~8 o: I7 f" F+ ^' L
oscillation
6 \' |, j3 d! z: F y' u5 frand-dynamic
$ `* U8 v- J5 Q4 M6 d: P1 a, q]8 Y" Y0 h/ P, w" T/ c2 a; }7 c
7 c- h) E6 B! [3 k# H
turtles-own[
& u. O4 U, R) Ttrade-record-all
( \5 b P; l m;;a list of lists,由trade-record-one组成. f' e1 p6 a4 L- l
trade-record-one
$ u3 u. a: Y2 u& }$ @7 N;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录7 O9 ]0 k' F/ z; x$ W) F
: S. ?) Z4 i9 \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]]
, R, S) H+ M- A: I; E8 M9 T! e! Jtrade-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]
% O% V/ V5 n; s3 `- O* ^1 J( xcredibility-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, _& {9 o, z: p4 K/ E" \" [
neighbor-total
0 r/ d8 Z( e3 r- e;;记录该turtle的邻居节点的数目
- n J/ E. _$ I+ R9 J2 w/ Strade-time+ f; M7 I; v. h6 M' V
;;当前发生交易的turtle的交易时间
) ~) Q5 \: A2 a6 n6 M" nappraise-give' z; j9 n z& s6 K1 j" v
;;当前发生交易时给出的评价( G7 m- I" Q$ l/ z2 @. e
appraise-receive
/ q2 R% J" e0 F. d;;当前发生交易时收到的评价
/ M3 R( ~" d# }appraise-time
s6 K: E _, s, U" J8 g. L;;当前发生交易时的评价时间% e$ C7 W; |5 G2 g$ u" U
local-reputation-now;;此次交易后相对于对方turtle的局部声誉) a2 M7 i% y+ e R+ H; t
trade-times-total& D0 M: y8 z- W/ a, M
;;与当前turtle的交易总次数
7 t. H+ H1 V+ J7 p, R' Z3 itrade-money-total
/ {2 U4 x( F$ N# B. f9 H;;与当前turtle的交易总金额2 g- r7 x' Q! b; z) r
local-reputation) I' e9 g) W, o/ ^0 H
global-reputation2 |6 k6 Q A9 k1 ^
credibility3 L5 j4 D2 X- F
;;评价可信度,每次交易后都需要更新
% P" L* I1 d: M: N/ tcredibility-all
, S4 P |& d V, j;;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
/ C% \. X2 e0 C8 t+ ^' A3 g- _; M" c9 [
;;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
! ]5 V- o3 E* l+ V* @% t. Bcredibility-one
& u( e6 n$ h' v6 |, `1 a* 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! M# ^( B7 U5 C7 g" v. @
global-proportion7 a5 J1 l4 [, @% u- f6 s
customer5 q6 M( V5 Q0 R$ C! Y6 ?6 @
customer-no8 ?, k' q! D, p5 U, f
trust-ok
* y6 p B# m0 }+ i9 a) g' x5 H" Strade-record-one-len;;trade-record-one的长度
* s; r7 R9 B# N! _]
6 i7 |7 T; b* P
6 o$ `% k# @ M;;setup procedure w# l9 K4 Y3 b$ N- y9 y
% o7 c5 I7 Q3 z4 R! n' K
to setup
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ca
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+ C& ^+ K. r1 U2 R8 x2 [2 O5 Ninitialize-settings
/ ?8 U3 j s8 i
/ U$ h" l8 e% Wcrt people [setup-turtles]7 g0 B9 x5 ^ a- N7 W
4 b% B6 p: X! {% o9 _reset-timer
0 {2 R& r+ K4 S# l7 f- k" y# P' A. p) U
poll-class
8 y& ~# c+ s7 D5 u0 x9 M3 a* ] p; F( t3 \! S5 [8 p' |, K
setup-plots
% M' r8 h6 C0 D, _* |, W% r" @- h
% s3 H8 x9 w! [5 E; l Pdo-plots
. k9 x" O) R3 g- S \end8 K0 D2 s' w' Z0 ?0 H, f1 @* ~
* o. b4 Q: w( }0 Lto initialize-settings
2 X$ T! i' w, ~# f$ r" l
! y* `' |: A1 N# x+ Gset global-reputation-list []
9 j0 o8 z t) D1 h" {. p% I5 m" Z# W
set credibility-list n-values people [0.5]) t8 y$ }6 b% ?; H* |
$ f- a! |7 U0 {. X+ _+ m: q7 X- a* A
set honest-service 05 n& _! U' O: N! E9 P- P
4 O, c; }; u5 R dset unhonest-service 06 ]6 u8 _& x/ A8 Z8 \ k
N9 N& A8 H' g- n" J0 P6 Z8 f% N
set oscillation 0+ w3 N( C! k( K2 h6 r) ~8 y
- F7 T' T0 q z" A1 X
set rand-dynamic 0) F; r( Y9 Q9 _. {: R
end
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7 l! \2 f6 i" A4 O8 D0 kto setup-turtles ( U5 ]0 |2 f- u( `2 V8 q0 M4 U
set shape "person"
# v- ?( V1 F9 |setxy random-xcor random-ycor0 i! p+ O, H8 Q* U$ Y1 v
set trade-record-one []# W @( @) J+ X+ ?
1 v% f3 i7 ~$ B2 ]8 l" oset trade-record-all n-values people [(list (? + 1) 0 0)] 9 J n; {, k4 a
9 f; l5 V3 p" R H# j) `
set trade-record-current []
( g, L: w7 ^* I. p! aset credibility-receive []
+ m; G" n) e9 j, q1 [2 _& P* V( Hset local-reputation 0.5
+ S! ^% l0 f& E( n& E0 j6 `set neighbor-total 0
* v/ I5 ~1 b* Nset trade-times-total 0
$ u3 r- z3 {" _' H9 w% Pset trade-money-total 08 c, @9 o9 e# Z9 \
set customer nobody: i1 q5 Q* p( j4 f* G
set credibility-all n-values people [creat-credibility]
4 j" [. r$ c3 J. @; F* ?set credibility n-values people [-1]
2 ?( a) u. |* x5 iget-color- }# F0 T1 s* V5 o
) p& B/ H Z6 j$ c0 \
end# A" ~' X" [) H9 b1 E' C4 _3 n
; [) Z! |: }5 V5 bto-report creat-credibility1 n- ~8 W4 |4 r+ e) o6 X
report n-values people [0.5]
' T8 j5 d) y/ y# a2 s! ~end
) {5 o+ e4 N; Y5 |4 F& @9 v
l8 C* P+ Y6 N3 s" n2 pto setup-plots
$ ]$ x( r6 F1 N. I5 S9 h1 k+ V y9 J i/ _$ ^4 B4 }
set xmax 304 S1 [* ]) |* X+ s
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set ymax 1.0% o1 Q# a6 C1 }/ X Q/ G* G
9 j |1 L% z) }3 ~' G$ X( ]clear-all-plots
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setup-plot1
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setup-plot2- S1 U! g) m( u# T. T$ s9 _7 P# ?
/ d& b& t! a* U2 V4 ]setup-plot3
6 H s/ b- Q' L9 C. d7 T0 ]end
+ d- P* u$ J" ^1 X' j* W* j4 V6 y* R- G: g$ l' @* R" `) i8 K6 b
;;run time procedures7 n3 a' z& f, B% I3 D) h
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to go+ f/ ]2 }* O: d e Y) X
( F9 P. Y: g/ ^# X8 @
ask turtles [do-business]
/ L, @2 I" w# s) I& iend
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/ k% j+ n( p$ B0 ^to do-business
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_! t$ `0 b' g( `+ Z; O- E7 G8 A" O7 C, U4 B
rt random 360) u/ H$ l. A+ v6 ~" m3 t
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fd 1 V/ L9 C$ M& F' U+ j" I
# U, c* @6 M. x6 @9 d# H0 }+ z
ifelse(other turtles-here != nobody)[1 u- H8 d3 H! n* \. E( v y1 T* w- h
9 {' F0 W4 K Z/ q" H( Bset customer one-of other turtles-here# |* K; n9 d0 k1 U9 G# B) D
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;; set [customer] of customer myself
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$ N4 K; b; Z+ \+ r# O$ `set [trade-record-one] of self item (([who] of customer) - 1)6 _& {0 C: B2 U- u- X# ]: V+ ?
[trade-record-all]of self1 i8 \# u$ |! b1 G. H+ _' g% S5 X u. A
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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9 \0 `, e1 F: z- t7 i- `set [trade-record-one] of customer item (([who] of self) - 1)$ j1 [% C' Z4 R* }& t
[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self- P; q0 D' E1 N2 F+ c$ U0 I0 A5 ~1 a5 x
4 }1 s% P% s6 w* y4 x: @; C8 ?set trade-record-current( list (timer) (random money-upper-limit))
& ?1 F, Z# S% {/ Y9 Y6 B/ G
3 o& D- {" o2 f" ^8 F. H& Bask self [do-trust]) K8 j8 s' J& i
;;先求i对j的信任度7 }: e4 n" V# P
1 B, l2 J! ~9 {! }# P! n' Rif ([trust-ok] of self). \; t/ p/ j* b* X3 D% O0 Q
;;根据i对j的信任度来决定是否与j进行交易[9 k4 `. t- ? _8 q/ O8 H1 r3 U
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself( P a5 D9 @/ l- n t
& {5 D& S3 F8 \6 c9 z[, K: x# ~( H' t3 B* S C/ L
) F: P5 [ R: h2 I% ^do-trade0 s$ Y, [! ^1 k( a
7 ~: a7 ~- J9 W7 u+ e" z6 s* J
update-credibility-ijl
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update-credibility-list2 B: C" ?$ S. G1 y- Y, _2 ~5 p
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update-global-reputation-list" B t6 Y s' V$ _3 ?* l2 a
5 W* E G0 i1 `, _7 G, vpoll-class
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, N) W' @/ P; Y4 k; Jget-color" b5 e6 x% H+ h) @
: Q3 B5 i& l6 i5 D! K2 o d0 q9 `) O! X
]]; [' x) p5 z! F' R/ ~% F
; K7 a/ y" }. M$ Y+ S
;;如果所得的信任度满足条件,则进行交易$ n& m* }. s$ j& i$ l9 \/ Q
8 h: m4 o' {% O% w3 n3 f" L1 N! z& D[9 g0 _ \% T( W/ A( }
5 \7 m- [* E& N; t1 V: C
rt random 3609 B# O9 V. [( I5 Y! H2 f
9 e# M% R+ } i nfd 1( n/ G" m, e! N8 r0 f
( [) g# m! a: D1 K; b]
* W8 k1 u, D1 R% K# F* `7 D& u6 a: Y" g! E
end
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to do-trust $ A p9 k v$ C7 |3 H6 T$ |8 B: f) W
set trust-ok False
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6 e3 _. b, c- _# F# ulet max-trade-times 0
1 ]% ~5 g: Q% ?8 hforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: e' I+ s, w/ nlet max-trade-money 0- d, S3 j! p. r3 q2 N0 C8 ^
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
2 x3 l) F- w: l9 Jlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
0 y9 K3 j' h! y C2 E9 D6 q- J+ E" f) R# ]. K: {$ r: B
( r4 C2 J. H* U5 aget-global-proportion
6 z+ q3 {! g- R" v+ M* rlet trust-value' B$ V" o/ i" C. s' u1 x
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)& {8 g. }. E. Q4 ~
if(trust-value > trade-trust-value)% X# Y6 F! v4 F1 g4 Z/ o; {. r
[set trust-ok true]
9 N3 w. I+ Y& nend
H+ u! c" i7 Q+ U- U4 G" ]- Q4 w/ f1 f. p% T+ J. O
to get-global-proportion
% N& l7 S n" P( i) ~' L( e* ^6 K8 Uifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
5 ^( F; U5 W+ h' N8 S7 L9 n[set global-proportion 0]; W: j, i1 p3 r! U" t$ Y- V
[let i 0
+ v2 Z" d$ f olet sum-money 00 _* P8 Y5 G8 F: a+ p+ L' \( c
while[ i < people]
_" u8 |8 p X5 o9 u: s' q l v[0 f' N& {5 `$ }. ]. U" R( }% ]; N) k
if( length (item i) D8 \' A" Z. ~8 h9 m0 M
[trade-record-all] of customer) > 3 )
1 q! q! \2 e$ k4 F% r6 A[/ v0 b/ J3 B$ a( f4 _
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
, `6 C L& K& {$ e5 Q7 x; e]
& F3 T) L, U4 y8 D$ ]) a% y0 S]
* ^, x- E5 `$ h- [5 }: klet j 0
7 F$ V" ]$ [; H1 _let note 03 I7 M4 `- ^# y8 p+ J7 K$ h4 r7 T
while[ j < people]
+ V0 ]3 y4 ^3 N% o; }7 R' s% G0 s[# I# S8 \5 j4 y. R) W
if( length (item i
7 J) `1 {& x# V7 C; g; Q[trade-record-all] of customer) > 3 )
; N1 D% ]6 T9 t- G[7 b# n. w: d( R) j0 j% r R& t/ X
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)2 b$ ^, l8 @2 q. l4 p: o
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]1 `; l0 N4 {; i6 g
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
- k% X( X3 w; C2 e]
# H' O5 l; q2 w" h# W1 [3 h]
! p, m2 [' C& [& P+ Z$ g/ xset global-proportion note. P* q% Z4 e2 T
]3 `' W; j* u! k. i. ?: s* W4 A
end
1 V$ I3 R t# o1 d8 L% W
+ e% [( k* Z$ Y( d* pto do-trade' ?8 P/ B: l4 ?; Y3 s. i) Z$ G
;;这个过程实际上是给双方作出评价的过程
3 ^) A& p. C# K+ i& p C7 {; a+ \set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 G8 a- Y: l7 I- Zset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
5 {6 i2 K# M. {, U2 Sset trade-record-current lput(timer) trade-record-current/ Z* K9 I7 w* P0 c% t. M, Y
;;评价时间
6 }: _; J: S+ O9 `, e4 @. D* hask myself [2 ?* W( E+ t" o( v) @+ J; f+ s ?6 j
update-local-reputation
. Z7 b: f1 ~+ w0 q0 \set trade-record-current lput([local-reputation] of myself) trade-record-current8 H3 _1 J, g [' L8 {- s0 L7 F
]
3 u4 a0 Z& b4 ]8 I5 d' \set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
, i3 |, V5 e: j1 }8 Z7 H! t;;将此次交易的记录加入到trade-record-one中
3 ]2 V9 X1 _; A9 A4 E3 K1 kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- @* O* l1 o0 H8 Y
let note (item 2 trade-record-current )/ |% I2 J0 l6 P
set trade-record-current
) V" q- K& }, _! h' F(replace-item 2 trade-record-current (item 3 trade-record-current))& C% D8 T9 N# S A7 a2 w. s' `
set trade-record-current0 R( A& q* Z# h: V, S1 O
(replace-item 3 trade-record-current note)
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# e+ h; M$ k3 j; ~( r/ d0 u" |- Q" e% {: e
ask customer [
8 A5 u2 r5 b# Z1 qupdate-local-reputation A1 ?( _0 a* ~; n' V
set trade-record-current- k+ o/ `, z9 V; v% p. n
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 3 B. C( e5 Z6 K. N
]: A5 B( A+ m+ }, C5 ~8 H7 Q5 S
5 N! ]+ M% [' x! j3 u' e
7 F# R7 M- a9 |) y! sset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer; M2 e3 ?7 w/ ?" }( G& E: d! L, r
2 K: Y$ _7 @5 Z
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))! Z: w* H7 i, Q/ ^- {+ q
;;将此次交易的记录加入到customer的trade-record-all中6 L. y* ]' M% q
end
6 @; O; j: P. |* w7 f0 e5 U7 o
! x, }) X, e# E! Y* T: Gto update-local-reputation
3 h! Q3 Q, i0 h6 o: @$ sset [trade-record-one-len] of myself length [trade-record-one] of myself
0 o5 D. `0 v. i5 c0 F
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' j, D; R) H- [1 {. L$ n;;if [trade-record-one-len] of myself > 3
' V( @: N; R6 ~( w* Jupdate-neighbor-total
/ ~% j9 _$ ^& Y: l6 P' S9 _;;更新邻居节点的数目,在此进行( j& a4 q3 R/ X: j
let i 3
' R# |$ \6 M1 p, Dlet sum-time 00 \7 h: I! `/ @* J n/ [4 t
while[i < [trade-record-one-len] of myself]1 E' s& O3 N/ F. S9 { T$ H
[
3 r% @ l+ E& ]2 _/ zset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )3 P% t' n; ` u. I ]) L+ d
set i
$ m7 G3 L- i" L5 D8 U( i + 1)- S% T9 @: [4 L
]4 Q, E) L" E& P$ `9 ]- K
let j 30 i W8 T G4 ^' K
let sum-money 0
+ B0 c$ L1 a1 N: N: p- G5 \while[j < [trade-record-one-len] of myself]
. M8 K7 b/ B; w' X1 \[/ a- @3 v/ F7 p, O0 u! q0 ?
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)
0 Z/ p$ X6 Y- g4 O: H7 Lset j
, i! m* a- e1 B2 V l( j + 1). k: E' O4 L: I- m \3 L1 N" o
], S) k2 [$ j' c. Q! t) q
let k 3
$ W% W0 L9 [4 E4 Z; b, ^- ~let power 0
y# A6 P2 \1 t+ zlet local 0. |4 F4 l4 ?1 K/ X. b- d
while [k <[trade-record-one-len] of myself]
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3 b5 Z% S2 J" Y- p1 Z- @6 i aset 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) + g; j' A" W- a- g: k
set k (k + 1). X9 _8 z. X9 a
]" B8 H+ r; S$ G. g; L* l
set [local-reputation] of myself (local)6 g6 b% b% U0 [: v% k/ s+ {* r
end; P1 O2 d& T9 E O% A
1 o* S( q3 k8 Bto update-neighbor-total% }8 W0 W5 i4 X- T" N! z
' H" E2 n, O0 \$ F: s X Z# Y* L
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]9 _* s, D4 ^3 I4 Z$ E0 Z; X
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$ w$ U- i; z. J: \$ g7 X9 G6 o5 B
end
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/ n" Z R: Z. @to update-credibility-ijl
- N0 N; b |2 P; U" J
7 ]2 ]- o$ c: l5 {;;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。% i# G! d2 \; v* \2 F
let l 0: S6 g) [5 u4 p4 M& e F
while[ l < people ]
: ]* g. D) o% Y;;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; A, \0 ?2 c" @8 r ~/ Y0 ^6 d
[* U5 R7 _3 Z# x" U) R3 p0 n
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)' U$ @8 F* A" Z! b0 F
if (trade-record-one-j-l-len > 3)
X/ R" K, x& a3 M[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
/ Q5 \: U+ S& v% G& D4 [let i 3
& q" @) P" R! N( hlet sum-time 04 m/ P2 Z5 l! `. q
while[i < trade-record-one-len]1 ^8 |0 K% Z! l K" @+ d# C" N+ A
[! q" p' b' o# X0 B- I6 r
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
6 h3 {$ l. |' p$ iset i
1 ` k7 B `# ?. S- ^( i + 1), |/ r; i2 r' S) J4 K
]2 P. u4 h% S6 z! A! |
let credibility-i-j-l 0& r; V; D) r6 S+ E' c m0 W" {, e
;;i评价(j对jl的评价)
& y" K9 e6 G7 W. ?1 A8 Klet j 3
' a% b+ u$ j4 tlet k 4
& ^4 e! V# l: o% ^( n. s% Zwhile[j < trade-record-one-len]
4 d" E6 Q& t6 a1 D[% {( c8 b5 J% 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
+ l; j! b" R5 ]2 M' E8 Z3 cset 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)
4 {- v/ k" h1 [0 Tset j
% x$ _# z! ]5 O8 U4 |6 c! r( j + 1)% U/ i& d2 k1 f/ o
]: k+ F$ e# c8 M! x. x5 w; B
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 ))
( |" P$ l ?5 X
9 T" k0 S) K ^
8 \* ~1 N2 P, v# Z" k E2 S0 R; llet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
4 _1 |, ]: ?$ m8 V0 w;;及时更新i对l的评价质量的评价$ U) a- ?# L, W
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
7 Q. l0 u6 E0 R) [/ n5 Qset l (l + 1)
$ p9 O) t5 Y& H/ X]
- W' g# Q* q/ ]( S6 }5 X% M' Gend% q% z1 T8 d' f% T' z
, v- p! d3 {3 z- a" q( g( C
to update-credibility-list5 G0 ~/ c" e& I4 q
let i 06 I7 k% O' b) }2 ~. [
while[i < people]
* s. t, i9 j! C' Q) f1 z[
. g! d+ U% J" q' z6 S: A* i4 ~' ~% tlet j 0
2 v* T/ }$ K9 p' D& D1 _let note 0
& o: e+ m/ v$ p, }- T8 V0 P, plet k 08 H: K" D# i( m: R- @, j
;;计作出过评价的邻居节点的数目. W8 X+ X& f$ g4 ?+ r# K) e
while[j < people]7 W$ ^* e! {1 m0 A
[9 J9 s% E$ p; O# _
if (item j( [credibility] of turtle (i + 1)) != -1)
2 A& w* O2 U0 ~! X! D- }8 s6 |;;判断是否给本turtle的评价质量做出过评价的节点
' f: v6 G/ k! T. N6 b6 A[set note (note + item j ([credibility]of turtle (i + 1)))
4 r+ X# R; N4 S; K2 G/ k" O7 D) [;;*(exp (-(people - 2)))/(people - 2))]
& `: i- c N N' A* sset k (k + 1). z4 Y) N* T ~! y7 G
]
# ?0 n8 @4 `6 ~5 Y+ @set j (j + 1)9 O i0 t+ S0 @
]: a) e G$ s" m$ J
set note (note *(exp (- (1 / k)))/ k)' ~$ j% w5 d, S9 p. i- [
set credibility-list (replace-item i credibility-list note)
4 X6 g6 D, Q/ j$ {set i (i + 1)
# B& Y; ?7 x9 P+ y" x) x6 ^ p]
7 s$ x+ N5 v, @' z7 u1 [3 hend
% x/ K/ X" l( [5 {. T
& x0 v0 n3 `6 V( \5 n. H& zto update-global-reputation-list
/ N3 C/ U2 e/ M' qlet j 06 E) t J! O u2 e; Z0 L# L
while[j < people]( ?( _5 v! g0 @. U5 J
[6 ?% b/ O s. N6 m m; Q: I
let new 0
9 q# n3 O. l+ l% B" H5 ~! W;;暂存新的一个全局声誉
; n* B( q$ _, ]/ j8 U( mlet i 05 i5 \ O7 d {* y
let sum-money 0
_/ H- u5 Z" H3 ?- ^- Alet credibility-money 0
* I) }3 h R2 mwhile [i < people]
& U0 T# i0 |- Y; v2 u1 B[
8 h; U, k. |! r2 \" X& Z6 F7 D |set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& c1 ]' p2 L) b* bset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
' _' a7 a9 T9 C: C+ Y. g% h5 aset i (i + 1)( P8 z, V% Y' D4 I$ S! x& c" A
]
3 }% C# @) a3 D8 B0 j3 r, Q' olet k 0: j$ `2 O% \. w. h" f- f3 k
let new1 03 Q" J4 K) L! q# K# j% N
while [k < people]( z' S' n, p. m. z2 F' k6 ?* s; b
[
. B7 b+ ?- n% }# Q1 l# m/ Fset 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 T: {. x2 H) _, W0 k Pset k (k + 1)5 `. x# v6 `* {# b" a
]& Z7 y/ b+ r) _. W
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
4 J P0 U9 E, U/ zset global-reputation-list (replace-item j global-reputation-list new)' F: W( v) P V0 K/ o
set j (j + 1)0 d2 X. Z' z# M
] Q9 z6 E+ r9 W3 P1 |- ~, G
end) Z) Y C/ o. E7 t# N, j0 G" u
4 O" u% }) C: ?* q; j* M& a
8 C2 v9 B6 h A& l. f
6 o' O, e7 W% Mto get-color
8 `! j3 s. \6 n: D; T) A4 u3 v# ]# o7 l. j4 E1 v9 [& n( {9 w
set color blue
7 r& v p* {. @( Wend) K8 D/ B) H: }7 D
" M% Q" @- r" a' m
to poll-class
7 `9 k5 C5 ]) S* f3 \: qend
8 W6 Q/ O1 C! F8 t- D6 f
% R4 J$ {3 z/ q5 Fto setup-plot1/ M; V7 u8 o$ f) l7 Y
6 e; k6 \. c5 x7 N" M9 a% m
set-current-plot "Trends-of-Local-reputation"
. ?- X2 b/ r1 A2 U) \1 x' k# p+ C+ @, R8 j/ C
set-plot-x-range 0 xmax
% n% D% o: J w0 q
' z0 U. _$ ^0 I# ~set-plot-y-range 0.0 ymax5 h+ k W% d* v* R2 t& m
end
$ c" P5 `) K' l) x
- N' \4 j5 U7 M" G/ I \to setup-plot2. t6 G4 h: J1 B; T* A0 j6 t
9 P( ?6 ~- F1 i
set-current-plot "Trends-of-global-reputation"
& ~ ^: M) Q7 i/ ?9 G. m# q1 n5 ]6 @& d- ~: c2 j3 e% D# t# D
set-plot-x-range 0 xmax
' a) H5 {& ~5 K: G# t. Z) ~. E! g; [! F
set-plot-y-range 0.0 ymax2 q I$ f1 v2 @6 {3 c0 q3 p( z
end
. W0 H+ t3 O! c4 m% S2 w. t0 X; a" x" F! S
to setup-plot3
, Q2 V3 `; a7 j+ d
, H/ s8 s; w; r" ^* ?set-current-plot "Trends-of-credibility"$ K8 S! \( x4 V2 G1 z2 P
: X$ J, A+ g5 T0 J, d- R# jset-plot-x-range 0 xmax0 S2 @( y+ ^ P3 P, K
- b" a; g7 r# r! ]3 W! W- [set-plot-y-range 0.0 ymax
6 A6 Y) @1 O! f+ S+ Xend6 [5 z1 h9 }+ T8 a
Z" _5 r8 U9 N8 \; ?
to do-plots
/ M( Q: c1 c" L9 z* a0 C# }set-current-plot "Trends-of-Local-reputation"
7 b3 O; R: w; c+ o/ }set-current-plot-pen "Honest service"
^* @4 c: U( i$ O2 `end( T) Q" y# x7 F8 W8 Z
2 f' f; A3 J7 \$ J7 e[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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