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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
1 q& V" T- d, e/ X; i( }globals[
" ^5 e* }, F6 |7 ~. Q) a5 @2 @2 Qxmax
2 j; V+ o. ~) L7 A' mymax
. z: S7 _% Z! N) D: A0 ^; Eglobal-reputation-list
9 }% O/ z' R# h* }7 k- A& }( I* w4 {
;;每一个turtle的全局声誉都存在此LIST中
/ {2 E" f8 t8 e/ F# b3 Gcredibility-list
- p, d9 ~# x! K! n, x2 }6 I;;每一个turtle的评价可信度
) G1 [$ ~, u9 Nhonest-service
# \4 `6 R0 _: U$ n5 c! e! Gunhonest-service0 V; p( X/ {; W+ J
oscillation6 N; g& o% b* s) w, b" X; F- X, i
rand-dynamic
, V: ]: G' v# H, f]& V# c6 E8 n5 l1 C
% K, M* V `8 [; L4 e, j
turtles-own[
9 n; S4 w8 c itrade-record-all
2 ]7 x5 ^) R4 o3 o6 }" X) _;;a list of lists,由trade-record-one组成
0 x; A: _) v3 \5 X' Q$ qtrade-record-one
8 {7 x1 o# p2 V, {" x* t( r' u;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录" }) U- w% d# z8 S9 Z) Y
3 i J2 {, U s;;[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]]
. {7 @+ {! f: K' K" e* q( m0 W& htrade-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]& r# H& l8 Q" z" a/ j$ 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
) a8 [! w. M' c9 j/ ^( zneighbor-total: ~! h0 _. X4 r: T+ ^
;;记录该turtle的邻居节点的数目1 ^/ b$ M4 M5 n9 w$ z0 X& h
trade-time
& U( {4 @5 i- Y5 g$ j* Y4 c;;当前发生交易的turtle的交易时间
1 D5 C- u7 E o$ g+ V2 H9 U. y- ]appraise-give2 R. W: W4 O# S
;;当前发生交易时给出的评价
, G' f7 d" [' Tappraise-receive- |' S( N1 K! G+ v+ S) k
;;当前发生交易时收到的评价
) `, P9 B |9 O% ^- [4 t' d# pappraise-time! F8 ]" v% E9 W, M
;;当前发生交易时的评价时间% L) G; Z" Y0 ^& Q2 {
local-reputation-now;;此次交易后相对于对方turtle的局部声誉, X8 G% v9 }- X6 j8 a4 T8 j
trade-times-total
, n' Z2 O& }# @; O" U/ Z7 l. O/ Y;;与当前turtle的交易总次数
$ l6 u, k8 A* L! h$ C3 z! a, A% itrade-money-total2 w: L+ u! @1 r0 [
;;与当前turtle的交易总金额) E/ k# N7 a8 \- x( \4 s- G
local-reputation. g c" p' K- a: F! \
global-reputation2 J+ ]9 n; W9 z) b" P
credibility. U- n( [6 u1 o: ~/ g- _" T
;;评价可信度,每次交易后都需要更新 P' H5 b! A) i9 z, I
credibility-all
- z2 C5 q- |2 z% B& V;;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
0 s- a' W4 w' F: w' y, X+ A" [
8 e3 |# I, s, F% }% G2 A1 p; 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
$ J1 ?% J% n, S) J* H3 |7 _- W8 {credibility-one: z d- P# Y& V4 i& _. }
;;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, O& h7 `7 {% q3 S2 ~; g
global-proportion
/ s3 p7 Y2 @9 X1 @& N% I( ^' D' @1 Pcustomer6 ?, k7 @9 l. q4 b7 a: m' b
customer-no5 r; G/ V3 k% A% s8 y' T/ p) v
trust-ok8 K( F: H( y h3 j+ J& T
trade-record-one-len;;trade-record-one的长度
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- k* E" s7 ?1 ~3 x, }1 p8 i
;;setup procedure( m* K" c# p! e9 z$ d8 v* ]
7 E9 F4 G9 _5 o- D. l/ vto setup& x8 G5 ~& U! c: g
: e3 H% F K5 g
ca
* Y9 a6 F5 {8 v8 w0 l; h
* k. {# ]8 d! M5 P% l3 uinitialize-settings
% S O! {% L0 W; b
, [6 l, i9 Y" fcrt people [setup-turtles]9 _( S& B* m% ]
9 k& d M2 _+ y/ d( y& G
reset-timer
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4 _/ f. u3 G, _4 epoll-class
& W& f# R$ U* `% x. @, k; Y- e7 K6 Y5 v7 r) |
setup-plots
# q% A9 r" h3 o% V4 D- R9 h. h& j% k
; Y* R" E3 _7 z8 w6 {" C' Rdo-plots$ R6 l4 \7 M7 X3 X+ M( _& j7 ]
end
: |/ K8 a3 A/ E+ N l
2 z8 N* }8 @$ ^7 |to initialize-settings
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set global-reputation-list []
- v7 Y6 R# X0 t/ t7 n( g1 s' T' _" p" h V9 Z7 @' Q
set credibility-list n-values people [0.5]
2 B5 w/ t2 ?) j
" W3 Y/ G, N$ k( U* g. zset honest-service 0
% b3 e2 I; w7 Z/ Z' m) g/ N0 D1 b+ n% _, x7 v8 t/ F& o
set unhonest-service 02 S6 S$ D6 d. f- B0 K, P8 s; m
7 l0 V& P* o: j! g* Eset oscillation 0! L$ u1 I- z3 a' j+ _
- Z: J2 Z! Z. t: xset rand-dynamic 0" x0 E1 w" Y9 j
end
1 r0 \5 B- R$ S8 v
) l$ h/ t/ L. Y& Jto setup-turtles
7 K6 `8 }/ E- R+ Y* zset shape "person"/ u2 s3 R2 W- O# w, e
setxy random-xcor random-ycor& i" M& [+ _- w2 l8 ^8 s
set trade-record-one []
& L1 G- U6 E V ?9 U+ p0 G0 O4 m( V% o
set trade-record-all n-values people [(list (? + 1) 0 0)]
! g: g% B! Y+ M% \5 @& x9 ?+ r
$ Y1 h5 Y3 C" J' q! w8 K6 I) \set trade-record-current []' g9 g) k7 h9 U, C: D
set credibility-receive []
' n* y, `" M* z! O, V. R/ mset local-reputation 0.5
$ T6 Y) f+ X# u) R0 Z3 wset neighbor-total 0
8 t2 J0 G" P4 f2 x9 y6 Dset trade-times-total 0
9 R1 m& F2 O6 ~/ }set trade-money-total 0
) K* d( A$ f; e1 ~' y9 u5 ~4 L; t+ Gset customer nobody
2 A3 d3 x: L2 qset credibility-all n-values people [creat-credibility]3 H) Z' y7 o% n( z) d) ?
set credibility n-values people [-1]
( b6 e$ J( M+ y9 H7 cget-color$ v. V& ?( H: U
. }9 ?6 W& K/ [& u" B, K
end
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to-report creat-credibility
2 c. A1 {; ?0 D" _report n-values people [0.5], a1 i7 N3 V* R7 f+ A. u* G
end
3 E) u7 Q" K+ ^! k2 Y; @; G( U3 b6 ^0 G4 s: k k
to setup-plots2 x( x& {$ x, N3 o6 _1 K7 m
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set xmax 30' r. [9 O- f$ Z8 c( {! C
7 G0 V( t) I. `/ J7 lset ymax 1.0
1 k3 y7 B) X$ u/ a- e- g: B9 C5 |! I8 s7 X, _! z
clear-all-plots8 E5 K. O+ T% \, ?! J1 c
$ h! W% N2 @, k0 u( v* u4 \
setup-plot1
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/ h, Y) R+ Y" d; |0 ?/ qsetup-plot2
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setup-plot3
9 w, f+ f9 E' Y- G9 Bend
0 e# |' E& x& C0 a! p. b
* M- w# B" h, g: L;;run time procedures
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to go
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$ r! P2 {7 l6 x9 \/ w: Y, {4 q3 @ask turtles [do-business]& t: @2 G% J- F7 ]1 {
end
* r1 `$ @3 c/ G% g- B
8 r/ U7 @+ B ^7 ito do-business + ?0 I8 U K( a. n+ c
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8 S3 D! R: _' e- u# I _rt random 360
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fd 1
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ifelse(other turtles-here != nobody)[ ~9 ? f! n+ Y8 X
7 {5 l& `# y' ]9 l
set customer one-of other turtles-here
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;; set [customer] of customer myself$ e8 Z& x$ M) M$ K, _
' R, J5 E! Z$ R2 U9 sset [trade-record-one] of self item (([who] of customer) - 1)
$ P* X; W5 i3 h7 f0 C: U[trade-record-all]of self
* I( _, U# z. ^1 _;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self8 G0 G' L# C; _; y3 w
% `, H N, \3 A7 w/ _1 V5 }, S+ Rset [trade-record-one] of customer item (([who] of self) - 1)
3 Y) M' B3 ^, z! f5 R+ w[trade-record-all]of customer9 W! Z% u8 \. l7 R! r7 I5 [, ?
+ M+ S! c% S% D N lset [trade-record-one-len] of self length [trade-record-one] of self
% }/ O4 V' h7 a# o0 D$ N
) A5 b) i+ ]1 r Aset trade-record-current( list (timer) (random money-upper-limit))
2 J$ @$ J" E* b; E% E( e% s; T v9 u3 N& b8 H
ask self [do-trust]
6 G* n. u6 z, A;;先求i对j的信任度7 T) W( e7 Q7 G- V7 ]
4 j2 E( r4 `0 T' B: f: f* Z1 bif ([trust-ok] of self)
2 n3 @3 F% [( u; O;;根据i对j的信任度来决定是否与j进行交易[) y( u, r9 J& |9 E6 O
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself+ z# m( B9 z$ t# K/ J9 X
+ c! u. W" n2 ?$ L
[8 I2 z, h; N+ o" y6 |6 f
. H- r* E9 {) j6 xdo-trade* }" G- l* E+ C
7 H6 @. t$ f, y0 T" @( b: w0 Supdate-credibility-ijl
5 @6 i: i& Z) l8 ^: Z& F" R
! l' U7 Z; U" B1 G/ e8 oupdate-credibility-list* G; J- `* n/ ~% l
# ^; X4 E3 u, [' K1 L9 D/ C
$ ?* ] h7 G; j0 t% N, oupdate-global-reputation-list t" z& q! a0 K8 H2 i1 g- d
4 i- h4 p4 K7 f. f/ N5 cpoll-class
8 D3 p: f* T/ U) C i- O0 }
( j0 ?7 { e. C* a0 o& R# f% wget-color
% J; G, a' m& P2 B/ l, y! t3 T w( H6 E% D9 w
]]
v7 v% C1 P: h, ^2 {1 N- x D! m$ A' ?2 H* j! z
;;如果所得的信任度满足条件,则进行交易
( R3 U/ [) ~: C3 a/ j# b1 p. r* G; |0 k5 M9 Z
[ X8 r) ?( G! G
4 Z0 T9 @+ s/ `/ X8 K
rt random 360
9 |' w3 c. `/ S4 K4 c/ j* c; z1 a1 X& b# z& t
fd 1
7 {9 p" P) N! v6 W- Z1 D; u( N
1 Z* A7 W8 c6 Y0 f]! Z" ^$ @9 r! ~9 H9 q
# G9 K% y( `/ L2 Y; a' jend
* @, L& C. E3 C4 M4 T
& f) \2 h, K3 y) }) g, Wto do-trust - H; D" x( P" H9 @, N/ B. h
set trust-ok False/ d3 w6 p' k% g
, j4 w& G9 N3 n/ B, o
% K$ A' c6 T/ N! f5 @8 d4 S+ q! Rlet max-trade-times 0
t7 i; A5 ?# a' Q2 G* [foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: z8 o5 r& V4 A1 C. n% ^/ v8 R3 Hlet max-trade-money 0
6 }3 x7 j# g3 n$ J) U/ }" Aforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]& y0 k* Q1 }8 r3 i. N3 W
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
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/ H& y3 a0 m' L. A( o* f
get-global-proportion$ S8 h( R$ l' L0 d: D5 G. R4 P
let trust-value5 f- Z7 O+ G! G" y4 x! 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)0 w% p' |' i n
if(trust-value > trade-trust-value)
" k& w$ P: [ J+ a, z/ F6 {8 n0 g9 ^[set trust-ok true]/ Q2 i; r- Q# |6 W; u) a
end
- `9 I% {* i0 b( f! `$ F/ k3 Y
2 \( p( X7 L5 R0 {: j. X% oto get-global-proportion
/ K: s; i9 k/ x6 sifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
" X, Y1 D5 C# C. o* m) [[set global-proportion 0]
: B" ]% t8 s6 ?6 \! M) Q8 k[let i 02 F& F I) w; i8 W% b& |
let sum-money 0
5 s3 }0 U( x# h" ^$ Wwhile[ i < people]# h! z9 m" Z: c- f U* P" m% [( x* s
[0 I+ f6 E( z0 _
if( length (item i
/ ?7 ?9 B7 K& J c# j ? I[trade-record-all] of customer) > 3 )# Q$ M: n) Y8 G, O% ]3 d
[
6 o6 ] x M2 a \) [. bset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
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]* m7 T6 e3 }8 |' ?; h: Q; a
let j 0& k S( Q& D$ K- N
let note 0
3 n: I3 W5 o! q8 f: ^7 ~9 r1 h7 dwhile[ j < people]: F) u1 D2 Q$ A6 L5 ~
[
, W$ h2 {4 Q. X" G+ Lif( length (item i2 O% o3 p. @- z, `# U+ e+ U8 l
[trade-record-all] of customer) > 3 )
. k( k* A% t, O/ ~ r% g: a[
m7 |) N! B# m/ q! b5 \8 Difelse(item ([who]of myself - 1) [credibility] of turtle j != -1)7 X. `( e# S2 y
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]# b8 F: u/ U8 ?+ ?7 Y- `# _ h
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]3 T! B1 T& |/ k: y9 ~
]
5 K: V8 K8 x8 N. B], _' U: R- {$ d( m) h, P
set global-proportion note
1 h% X/ q8 E( D) Q6 {4 P% R4 h2 O]
- G' X* J; b/ Y: O$ ]; q' [end
+ V* R/ [5 W( \- k: f6 ^6 l4 F! i+ q- X# E
to do-trade6 Q! i* }! V( P9 H, a6 r# U6 o" R
;;这个过程实际上是给双方作出评价的过程6 x/ z4 Q9 V$ f. l8 U: O3 ~
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价% w) {# ~1 w: I: ?8 C+ b
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价* Z0 f* `$ T' P: P0 p- [
set trade-record-current lput(timer) trade-record-current
( x) M0 ~- `2 D* H- \& N;;评价时间
/ f! s! w4 m N) G; Z6 iask myself [
1 h1 y; H# m1 L+ ^/ ]- C6 \update-local-reputation
/ C8 n$ Q4 h2 [% P: Wset trade-record-current lput([local-reputation] of myself) trade-record-current9 A7 | G* W7 c8 G* F& q
]
( h) C0 X/ U- @- E( K9 e0 t$ Gset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
0 a! V" M( x! U, e: ];;将此次交易的记录加入到trade-record-one中% e( p) {' _. A K% ?
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
8 Z; S* C0 F: y5 Y% J0 K! Xlet note (item 2 trade-record-current )
; C# h8 B+ J, `set trade-record-current
6 q. R' R1 i* Q(replace-item 2 trade-record-current (item 3 trade-record-current)); H6 f% Q- [# z
set trade-record-current
7 t, u* k: w6 v(replace-item 3 trade-record-current note)( }; V; K' n, I3 l# i* h9 B9 h0 f
' Y5 D' H1 K# ~% Z/ z& n7 h
i# Y) w4 Y# W6 L# L9 Kask customer [, N E) f* e. N9 {% ]
update-local-reputation
" y$ P4 J0 r. Y. j9 fset trade-record-current
% ?9 g! D+ m) @0 C3 C(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) / z5 [& r7 I# x; ?5 ?2 Y% @9 \
]
) p- V1 l/ a2 f: h4 Q# N. g/ H9 Z& N7 S% @9 m
# I5 x4 }) l1 c* u+ `set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer4 @3 a. U l+ N$ L+ B3 G4 z( r5 U
& p4 T# Y y3 O" D; y1 H) u
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
' C6 I- K& _" r;;将此次交易的记录加入到customer的trade-record-all中
5 v4 t' K4 S5 zend$ }( T, s1 z7 z+ a( X, h6 _
, G' C) @) c9 `& Z/ d, b" y4 e
to update-local-reputation
3 `8 T; @9 Y1 U' \set [trade-record-one-len] of myself length [trade-record-one] of myself6 _3 K% X9 X t
' ?( K1 [6 c& I& J" G3 v, {0 e# {/ }7 |" m9 L
;;if [trade-record-one-len] of myself > 3 " u% V( T' F0 `! B0 J
update-neighbor-total8 O9 i& {% C: z" f1 J) X) {9 a
;;更新邻居节点的数目,在此进行
) t$ M+ x' [1 L6 P. Xlet i 3
- Z: C+ v, v( Z# b7 Q& dlet sum-time 07 W" r* R* _/ f* o& k
while[i < [trade-record-one-len] of myself]
, V8 O* R. t3 P3 Q# r8 T[
# q* M0 Q I( @* H8 @ Q# gset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
) n, Y, P3 ]6 {3 ~! Pset i& _0 J' D+ j' z, M2 W1 C
( i + 1)
5 A* d; j4 m- T# }8 Q$ B1 r]9 V# h7 J6 v! S
let j 3, c. p+ q2 P" V9 }- F6 ?* u
let sum-money 0
" H5 I/ p" H. [: W& Uwhile[j < [trade-record-one-len] of myself]
" l$ P+ k5 W, A: D* W k[
! g! x0 g# d/ V% W kset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
6 G/ i" [2 d$ y+ {# bset j# T+ z. R6 R5 u9 l# S
( j + 1)" L% s6 Y- B9 P% q2 q3 f- C$ d
]
7 ?4 n. Y; F. d$ \2 olet k 39 j" s. d1 l& W, ~* r* F( t3 k F
let power 0
/ H) ^7 E5 [. i* ] B6 q: Jlet local 0
% C! S6 F4 Q) D5 ]9 wwhile [k <[trade-record-one-len] of myself]
. s/ L$ O* p7 V- D+ M: d v: R[
" K! `1 u# i. N' rset 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) ( _- Z. X/ Y8 }. A4 f1 K& L' e
set k (k + 1)
4 v& f2 E5 p) ^/ E]2 x9 [9 y) f, W
set [local-reputation] of myself (local)
! K7 }$ _5 g: ?7 V$ g0 gend; p p7 |. ^( O, L3 ]3 M# N
" F# e+ f. W4 x
to update-neighbor-total
: E1 v$ ^3 g8 j1 R3 K+ V( S8 s, V& j7 C# U& h' |! g' B
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]/ u; I4 F8 S; [! d
3 n" a, k# h2 {. _' N
3 h8 ^( `! Y$ l, D$ ^end X5 S: ~9 n5 Q& D& g) h' H6 ?
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to update-credibility-ijl : n/ P! @1 q5 {% l0 q% v/ K. B$ o6 i
( ~1 m, u D8 ?% Q+ e! p: |, h# t;;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。8 h$ z+ `5 P: R4 s1 R- o+ N
let l 0
! Y7 X/ q! a, K6 i. gwhile[ l < people ]; |2 N9 r3 J% Y8 A" N# @
;;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
# {( h: m) E1 q4 D[( u9 a$ M3 @2 i, i
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)' _/ |* I E7 L1 I& L: e c, ^
if (trade-record-one-j-l-len > 3)
0 ~, T8 v0 r$ E1 v[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$ K$ h) h2 G1 T% [- N2 Z
let i 3# ]7 j' T6 z+ Q8 H* K
let sum-time 0& ?0 L/ ~: T' h$ |( F; T1 N6 Z
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )% I8 p7 j# i* h" b' S; @" C+ f
set i
5 u6 G c5 A. s1 u. T) p8 |! r* w( i + 1)+ v2 c6 [- I f) K* b
]5 z5 F: U% t3 p5 X: ~4 V T& g+ E
let credibility-i-j-l 0/ z+ q4 h5 ?+ Z) ~* u
;;i评价(j对jl的评价); J/ t* o6 S/ L, n4 O
let j 3' G- r4 [+ P+ o" ]1 [* C" E
let k 4
# X2 B' M" M( r. B9 t- f: Z; u& Zwhile[j < trade-record-one-len]1 u. k" C% F. q8 n; U
[
% Z- O" c/ Y5 _+ xwhile [((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4 u9 y3 t5 U! Q2 O4 c* o& z4 l5 z
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)/ J* }% n' W6 h6 ]
set j
: f+ u$ A$ S4 [( j + 1)" o' B1 k& d0 [% {- h
]% p& V) K: C) E: B; j" |$ x
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 ))
+ G) b8 x6 J+ e, X
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 S5 r+ ^+ @. r3 m;;及时更新i对l的评价质量的评价
. M8 a1 H$ p- c7 Hset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]( c3 ^# A! ~/ G' \* m5 {7 ^' }
set l (l + 1)/ I+ h+ x! _$ ~ \# F
], |; H5 m: f0 O# i7 B
end1 J, o- s/ m* X1 n$ z3 m4 I
- `- V3 d+ ?" D0 I# `% Lto update-credibility-list; s9 y7 t2 m3 X, X' { d7 O: G
let i 0
- I5 g3 \! |, K+ q" L+ Gwhile[i < people]
0 N* D0 ]6 _/ a& M7 U0 a[' m% w5 ~9 w ?, S
let j 0
0 f9 ^7 c3 _$ f8 ]+ z( {let note 0
! X( m' O, Q. l8 u" }let k 0* b0 i* F' u% k
;;计作出过评价的邻居节点的数目
h0 {0 N5 S# R6 e7 E2 ^4 M# `1 `while[j < people]
, n" x* |; ?& q' U[
- {# c1 p' t% z( [' cif (item j( [credibility] of turtle (i + 1)) != -1)0 B' m) T _! b! v( s
;;判断是否给本turtle的评价质量做出过评价的节点& W- X. s! j" \- m$ r: i. {6 u
[set note (note + item j ([credibility]of turtle (i + 1)))! M3 C% F7 m! u) V, {1 {9 K
;;*(exp (-(people - 2)))/(people - 2))]" {+ }7 i) r5 ]* F) Y
set k (k + 1)! G7 M( o8 N5 _* B: m, U+ s
]
' l: O8 d4 a7 ^& E! ]) w9 f$ Qset j (j + 1)) e3 b. E4 G& k/ Y0 ^
]
I4 S8 ~" m) S1 [set note (note *(exp (- (1 / k)))/ k)' E. q. ]. J# Z( ]+ ]% F! j; o$ b3 C
set credibility-list (replace-item i credibility-list note)& Z1 n, @# k( S' Y& \/ ~: K
set i (i + 1)+ M% V/ p6 M ]8 I# K& O: E& G
]
+ t5 S' t7 x6 f1 [7 O* u# wend
r: B5 M C: u( I4 p' F# V; |$ W2 a5 j6 x
to update-global-reputation-list3 C+ b9 o: }0 b9 A8 }3 I
let j 07 y( `4 _9 J2 x9 D0 H; v: [
while[j < people]" L$ H' `/ e5 b* h5 @/ V" L
[
3 o. N( h) G7 ^9 t* D Q& Z" olet new 0
0 _& s( S6 |5 p! K( }& n;;暂存新的一个全局声誉% x/ C4 Z% Y" V, d1 H
let i 0) e: s+ L% B; N0 U( ]5 e3 T1 m
let sum-money 0
6 N9 F$ ]7 N1 hlet credibility-money 0
3 e' B! d1 y$ W5 H2 wwhile [i < people]/ R' t/ V" h' t( v# U
[ E+ ~$ W! K7 @5 @3 f% N
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1))) H6 J: ]" y2 e2 Z' F' j3 u
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
, g' C. v7 k7 w0 k$ |set i (i + 1)
% E$ h) E: O2 o# y7 {0 i]1 j/ P# b" Z- N5 c: b
let k 0
9 ?2 _( ~5 i1 T7 C7 c" s) Nlet new1 09 a# U- B# ?, r8 u
while [k < people]
3 c+ y- x' _# y! z9 c" I. u# j[+ k( v9 `+ ~9 [: E( g( }; w
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): {0 @7 u6 ?3 A" Y/ W+ \) l
set k (k + 1)+ _$ V# t8 ?! f8 f6 p
]( ^- D9 _. F6 ?" t' U
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& m! z7 w* d8 ^set global-reputation-list (replace-item j global-reputation-list new)) O2 j$ t& v$ Q* ]7 z& K% G* l: j
set j (j + 1)
9 C9 L! Y, O7 A" ~2 x]9 f! N1 I+ ]$ f- E g
end# W9 N. {( b0 [% E# B- I8 e" }
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! \# T8 _, {+ L* a4 A, j8 j K. h. a5 u5 [
to get-color
6 N& k1 Q3 o D7 D. c# z. F& }+ T4 K1 c; j# O }
set color blue% s; T! g a8 I, m+ x& \
end# W4 D6 y7 j# T
9 N, i+ c5 c: ?+ O6 n
to poll-class7 y* M6 ]: |8 N
end
5 N1 [. G# q1 s2 T0 J0 u$ H7 ]; M I
to setup-plot1
1 D* E4 i+ V3 \9 n6 l3 s( `4 f1 |, x( K& F! K# N. c! w# u
set-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax8 o. B8 v; Z3 w# g$ L
6 b: A( o4 `/ o1 b" c
set-plot-y-range 0.0 ymax
7 o. r$ @* m7 P3 h9 z: kend V8 m/ l# |: y; L
3 G1 w7 C; k# @! R6 G2 sto setup-plot2! |6 B. g9 k) }& e! L
, d) N3 m% ~0 l; S/ f( Nset-current-plot "Trends-of-global-reputation"
8 U0 J P! o! L9 r
1 m! t6 c$ h# ]7 l" vset-plot-x-range 0 xmax
8 H5 F" f5 }3 Q+ R! J& u9 s2 b) [; \ u7 n7 H( p/ a% A" a D+ N' X# S5 y6 [
set-plot-y-range 0.0 ymax
# ^% h+ ?0 o6 P) U: s# Fend
7 d2 v9 X! {& v* ]* d+ M( e- E" ?5 b9 r2 B0 M/ D4 K# x. G5 f
to setup-plot3
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9 ~& f/ Z2 s. y. x, p% R+ uset-current-plot "Trends-of-credibility"! q' O" O/ {& ~( f3 D6 S) o- y! p- |
5 _, u# X. z' ^" J, P
set-plot-x-range 0 xmax- z: ^. @! c% ~! `
5 d! N( g: ?. l
set-plot-y-range 0.0 ymax
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' B2 t; \6 Y4 e, r: @1 I2 V" U: t( w4 jto do-plots: b% T. q! @" X( y* r _' {6 [
set-current-plot "Trends-of-Local-reputation": M- b x" b4 E6 ^
set-current-plot-pen "Honest service"6 k9 J1 _- `9 g3 P
end
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/ } A; n! L$ m$ V4 k[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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