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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. J0 q9 [& \+ t: G; X0 X5 V
globals[8 V0 y0 Y7 y5 f& F# V/ D
xmax
+ m, v2 v9 E1 `2 m4 Y' Yymax; s5 I7 i9 C" d q: J
global-reputation-list
2 G. W2 d4 U/ v V9 s
7 o t* a; N N& F;;每一个turtle的全局声誉都存在此LIST中
' e3 q6 [& p* }6 l; S5 ucredibility-list
0 N2 g& p+ D9 n6 U0 k4 r;;每一个turtle的评价可信度
g" p# [- l) F- T3 T ehonest-service2 x! ] z- z+ s+ Z+ }7 |. f/ {) K
unhonest-service3 u2 x! T( s) i* s/ W
oscillation9 J. r6 |- c% f' ]) \
rand-dynamic
) S5 q0 q& k% ]8 _]3 h0 X4 l$ P: c% L( j
' \6 E" t* \3 ]9 Z% Q7 Y6 E/ ~turtles-own[
" _% I# W% o0 s% ?) H, c+ ltrade-record-all# {4 I% I- k( X* h+ v& S2 ?
;;a list of lists,由trade-record-one组成
+ H1 T. E9 k) \" ]: t* a4 f7 ?trade-record-one. {7 C+ _( i' D* `' J8 ]
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
& l) H8 z" n/ S3 Z. T
0 S( H8 m2 E( _/ a. H" v;;[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]]1 g" i1 T! y0 f5 E
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]( n( B$ I \$ j& W6 L g# J
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
8 l1 V, ]8 v3 l8 d- Mneighbor-total% _3 \4 j: ]/ c8 }6 ^
;;记录该turtle的邻居节点的数目
& g3 t0 [ m" v/ Ytrade-time
$ d8 p- f9 c8 M, C+ w A! o. x;;当前发生交易的turtle的交易时间. j, M1 }/ A3 e2 |( c z* Q
appraise-give8 H$ e$ p. S, x& [
;;当前发生交易时给出的评价4 S; T4 c& y/ o+ @" E* M2 q
appraise-receive
& s4 a) b7 O' K;;当前发生交易时收到的评价( r9 E6 K; f! w- t, c( D2 r' ?
appraise-time: V' x, k! J& Q4 n6 B; r
;;当前发生交易时的评价时间
4 ?- p2 s& t. q6 z. {' |, Zlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
! @( X, e: W2 h! M4 W8 Utrade-times-total. K' H$ c9 S0 _- R! @- x! g& J6 U
;;与当前turtle的交易总次数, A; U# {. B1 Q+ `
trade-money-total# x8 E' y2 N" M
;;与当前turtle的交易总金额
7 S7 {/ P1 W, b9 u" [5 Alocal-reputation4 y4 x0 g; n$ y* U' f0 a+ `/ l0 }/ @
global-reputation
; A2 c2 R: y8 U J8 mcredibility
/ A8 t: n$ A" |+ c* [4 d5 w;;评价可信度,每次交易后都需要更新
' R- \: x7 \6 u, zcredibility-all
8 T T2 {0 ]% l, t: g5 e;;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
- Q e. F0 a( x) V" D2 w
2 f ~0 @2 Z2 o3 K;;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
6 [ g' a" _( E& J- Z' a2 Wcredibility-one
3 n7 {2 O7 y8 V n$ U2 o;;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
9 V& `# _- h2 D6 f! U( Fglobal-proportion% p$ v' m$ k5 s1 r
customer
: v1 ]: f2 X i+ i! x: ?customer-no0 x; J# B- Y3 S0 W* v4 u
trust-ok; x- _5 E( c+ g& _" \6 D. R" z
trade-record-one-len;;trade-record-one的长度
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1 \/ N4 u% l! `& r; k: F;;setup procedure6 M ~+ B4 O, [+ W0 f
. [5 p- G! {0 d9 Q$ C2 i) ^
to setup% S: g. p% U$ P w* U8 M9 x
`- q7 _ p' Vca
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initialize-settings
2 a' v5 y! M2 U1 R* [% ~# V! j' {9 ]% o/ V: r
crt people [setup-turtles]
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( d6 _5 C( e* H. K# a- greset-timer
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poll-class3 f9 V% }! w" P8 \2 B! c ]
: N: Y" ]# ~9 b, H4 r* G. asetup-plots6 k9 {7 `4 Q" y6 T) o: S
" T" q1 W5 c" F4 D, H3 _
do-plots6 d/ Q* U, g& ~4 o3 E G+ t5 F2 J) A
end, Q) p; B8 V4 n1 X8 L! N
: u/ d8 e/ p% h% s4 { Fto initialize-settings
: N: O9 Q7 z+ K
2 M6 e/ c0 x9 m& u' kset global-reputation-list []
( I8 L, h& f' s# y( P! ~8 K$ W
V3 J9 ?( K1 B- Q: S! Qset credibility-list n-values people [0.5]
* L8 f# p" w. H6 \, u# @3 u# ~
) o4 F5 x! G& mset honest-service 0
: n% z3 f k7 r- B& V! U V9 h# x! N7 t: X% |1 M
set unhonest-service 0$ W$ s' f A" k) S: l, o! L
. o7 V. T0 O$ p+ N( ~1 E' p
set oscillation 0
& o: t& T6 Z" |! f3 i+ m+ g* h( ^9 f' I' Y7 r; s! T
set rand-dynamic 0( a& q" W# t; X7 q
end
$ U6 Z2 D4 c1 J/ J+ q j
0 A' o. \$ f4 Q" Yto setup-turtles ' j+ D7 _( K1 o
set shape "person"
" i) w2 C' [1 M9 e9 Q, B9 Qsetxy random-xcor random-ycor4 |) `- a' f. ~$ u- p
set trade-record-one []
" R& B2 c; ]" B M' j
$ o3 y$ ~, ?7 hset trade-record-all n-values people [(list (? + 1) 0 0)] 7 K2 R/ s2 j- h8 j3 D$ e) c
2 A( b' Y8 c! X2 b) z, d$ r, aset trade-record-current []
! t- j% [3 a2 J9 C8 Uset credibility-receive []
) X/ J" R9 v& n' E# Rset local-reputation 0.53 C" \" T9 e2 v
set neighbor-total 0
% ^& Q7 |' N/ V/ q/ [set trade-times-total 0
+ `# s: Y1 Q; ^& lset trade-money-total 0
7 ~" j- L0 o* `6 ], d- Gset customer nobody" R5 L! X5 m2 N" k3 r
set credibility-all n-values people [creat-credibility]
) ^3 O/ L2 L7 n% L \9 r9 zset credibility n-values people [-1] `. p% |' }. f, d! B& e: ?% M& v
get-color
' \3 v) a; X5 |% b! j: M/ B
+ G. o5 m% z1 ]end( S& Y( T" A* o# K; K5 t& p, G
& p" A( S7 G+ m) h. Pto-report creat-credibility) n) h, n& i2 {* _( \
report n-values people [0.5]
5 D H3 V- w4 U, s( h+ Y$ H4 jend6 v" N3 l3 y0 y4 b/ R' i
# R& w& {: B5 u0 t( i5 G6 u3 E
to setup-plots) `8 S P. h( a5 ~. |4 h
) Y/ |4 ~( g/ xset xmax 30: @# }1 n9 _6 t' C$ m8 x/ L: X* D' Q Q
3 Y4 m- I0 X5 v1 }: X4 g- V
set ymax 1.00 }6 O9 _$ m3 z0 }! a H
7 N8 E: p- [+ Y0 X" uclear-all-plots8 f1 K3 U; X1 o2 B9 r3 | t/ W( {% O1 O
2 m. W: M+ z8 _* C: A
setup-plot1
: O4 R+ K' z0 h0 p' T
: h+ s# x, D9 m* d5 W4 qsetup-plot2$ _9 M( _$ L, t. ]0 L) g- ^0 K9 p/ f
3 `4 ]$ Y% |5 D, Jsetup-plot34 O& m7 G9 A& k# h- ~9 }9 g, s
end
4 Q2 Q2 Y3 s) b! o; e8 l3 U/ N
, G/ k& y0 j+ [3 Z;;run time procedures- |: W5 M; X _) e1 ]4 r0 [1 P
2 }. f P" z5 m4 C( G1 U6 dto go/ u+ [9 W$ f: m% a# U9 A. ~
( H# e: {2 N* x9 H8 s
ask turtles [do-business]
! {6 a$ v( z- v; p4 ?0 G8 R# U% i5 h; cend3 `& w& g. F" p$ G9 b$ l8 L1 ^
* o( [/ L, Q# j% T7 Hto do-business _( d; l# U/ N/ Z" c: I
* ?7 A# W! h1 e3 X6 U1 @& v' A0 U& i4 Z
rt random 360
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9 U+ N+ L7 [4 ^. G- A/ N# m- t0 gfd 18 Q* Q0 C, R v2 x! |
+ H) G6 R% O, A wifelse(other turtles-here != nobody)[* d2 K% p$ V% H4 ^. D; @
9 l h- y! z: {0 y1 M* V
set customer one-of other turtles-here
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$ @8 b6 y2 z$ z" z; `;; set [customer] of customer myself0 `# p4 _: o+ X* ]
* ^* k. W! R5 e4 {
set [trade-record-one] of self item (([who] of customer) - 1)
8 b Q# h5 N& S$ y' _, G$ l[trade-record-all]of self
' ^% H9 z. ?2 k3 c;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self }' E! T- }/ n, Y
! H3 E& J; k' j, _3 ^+ O
set [trade-record-one] of customer item (([who] of self) - 1)
% j+ z, n3 B* ?1 M7 I[trade-record-all]of customer6 w9 ` w. j, t$ S' P8 w) p, G
3 ~! }/ L5 Z& i& Xset [trade-record-one-len] of self length [trade-record-one] of self
# s; \# Q+ ?; i
/ f V. M0 F' i7 n9 T* vset trade-record-current( list (timer) (random money-upper-limit))7 s3 ?* X# ~) a# A3 {4 j' u( R
$ d5 z1 T. G) c6 G! l% V4 xask self [do-trust]" Q: V: [' I6 S2 K
;;先求i对j的信任度
7 A& g! i1 D: l1 L. L w' w
# M8 w0 X: r Y% d4 E9 k3 w1 Yif ([trust-ok] of self)
. K. _8 |# V# P) }1 n0 y;;根据i对j的信任度来决定是否与j进行交易[
2 t) J. W& g3 }ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
% v# k& A- f/ x6 P; N4 D+ f; ~# r) \- s& Q+ E) h
[3 X7 {7 x2 l( p: [/ A
& ~( w, L# ]# K6 i3 ]
do-trade
: Q3 j' m& r, H. v" _- \; v- x* _( c* [
update-credibility-ijl
& P5 h' Z2 b5 M) b% n/ o! }+ ^. t0 G
update-credibility-list3 r+ c$ l! R0 l" u5 X: {* S8 n) J
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2 s6 s1 o" M7 g- Z7 l9 {( n* B
update-global-reputation-list
/ |' ]+ [- Z) g: c4 Z# ^. H
" M' L N- A; Jpoll-class
r3 p: M. i; N- g! M: R" k9 j
: [4 F6 P! ?+ O" Jget-color5 b: R T( R* D* O/ \* I- M2 }% c$ P- S
; ]& Q( b% U& M0 N9 U
]] s3 ^$ c- P& `; z u% a. _& Z& s
2 e/ Y1 U* K. S j;;如果所得的信任度满足条件,则进行交易
$ n+ C2 b* G* q' f4 \7 {8 _9 w' [3 X' i7 b+ t
[
. L5 c; U; U* j4 K; ?4 ^2 K
' O7 x- }& I8 v, crt random 360; B+ Y7 c7 i8 j* P
( Z1 u( A8 F U: ]4 nfd 1' }- Q* \, N- e
0 ?; K+ c' w& Y; D7 ^
]
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end9 j F5 d \- V1 M9 E! {( r! f: E
' s4 W Q" U& M4 s, ~& ]to do-trust
0 r& e: s4 C# V* ^( jset trust-ok False
' G. w R2 H. C, D9 T; E# O2 g+ n, n w% c/ [+ e0 c" o/ k
. m. s( M* w4 F m6 C' l2 a; @let max-trade-times 0
- o! d: X4 o+ R1 j; ^" Z- Wforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]) Z$ D2 e: z8 o8 Q" P% d6 f. B
let max-trade-money 0
2 l* h& P* ~5 d! ^2 aforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
- ]* E$ y3 |6 J4 {6 \ \! Jlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
# k. J4 z- R, K6 R2 h1 X \ q& |
$ ] C$ }6 q, K" K9 e4 Z _
! T# x& j; G8 t! ~# Zget-global-proportion2 | a4 K! B1 p$ s U1 s
let trust-value* t1 Q; V6 @3 B
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). G+ ~5 X6 z: F
if(trust-value > trade-trust-value); ?; [4 w9 l. \
[set trust-ok true]! k0 e; K) t: }1 `3 G
end; G4 \7 g4 v7 T
2 _) c d x$ u; dto get-global-proportion- H7 l( U+ M7 \
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)$ t& v- q# u J" b: Y Y) u4 q/ m
[set global-proportion 0]
# P2 y1 `* F' m0 e2 i, a8 Y[let i 0
w" D4 f* I8 xlet sum-money 0, w5 E$ ^* Y; ^8 i) w
while[ i < people]6 [: d) r% S: E5 n$ R1 A5 H
[
4 A( K! E$ o- sif( length (item i$ I* t% k1 R1 x( p5 Q
[trade-record-all] of customer) > 3 ). K) O3 @9 r4 ]+ Z! o
[, Y' k) m& U; A# r( R% T
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
1 m' o8 \; F+ `# k]
( A4 w6 r. b4 U- |; x4 l0 d% T( g]" _( S; @( ], }3 I$ _ A5 b3 d( M; A
let j 0
^. P& f9 i+ J' y% L2 \let note 08 F" B$ ^4 _+ ?5 Y& P1 A
while[ j < people]
5 y8 t1 Q5 A9 ^[
5 }# c9 C6 M0 C/ m7 mif( length (item i+ o% j8 \( u/ k7 V, ]( Z
[trade-record-all] of customer) > 3 )9 P R& c. O$ B1 `* f2 C. I8 k7 n( `
[4 O) l# ], e, A5 z
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)0 Y: V0 V4 ?5 V' H0 N9 L+ l
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
( a: F% C. A2 T% V+ [0 d* t[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]9 g9 a0 Z$ [* a: w- Q
]& n P6 f6 u! p
]! K* i% x, t! {- v2 o
set global-proportion note+ j; u) C$ Y& ~ O. s
]
" e M+ s: L& V1 yend
' Z5 [% L/ f* }8 t4 y) Z
4 d7 }2 h, W% }3 E) dto do-trade
. k: t- j% i9 j$ z8 \) N;;这个过程实际上是给双方作出评价的过程; y& @5 q' G4 N4 n8 x, Q
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
. Z6 V9 f; o) n4 r6 n& d1 R$ Hset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价* l% w8 q% z }% P
set trade-record-current lput(timer) trade-record-current
, o* C( Z: p1 ^;;评价时间+ t4 c, C0 Z3 Q( X" d! b0 X
ask myself [
( |$ ~* q2 @! T4 Cupdate-local-reputation8 q B0 }. z5 A) u( \
set trade-record-current lput([local-reputation] of myself) trade-record-current
7 F( c) ^ u/ N+ F# X1 s3 U]8 h& g5 q5 w6 y6 g3 c9 ^+ M
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself$ {# d2 j5 R; _# {( b" M3 S( o
;;将此次交易的记录加入到trade-record-one中
) |; W6 y9 j! Cset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
# B8 k5 a1 j* G9 {9 w" llet note (item 2 trade-record-current )9 P2 q8 |: M- E& I
set trade-record-current5 i/ D7 V! c0 `0 `- \. t5 W0 k% h
(replace-item 2 trade-record-current (item 3 trade-record-current))
+ D" R% R+ L9 Cset trade-record-current
& A5 S' ]1 F2 a/ L) a' @(replace-item 3 trade-record-current note)0 x3 P/ Y( s3 ?8 { n0 }* h" u
: r; ?, }3 D5 b8 X) u
{3 u6 x$ \* E# ?7 t& c' [5 Lask customer [
* j2 W+ r/ q6 c% s. s7 X Rupdate-local-reputation% _5 H. l. M" t* n+ k. L
set trade-record-current5 w% @& @, i# p% _% z
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 9 {7 t2 p- J5 [
]( m7 w$ T& q: }) \
' B: Y0 ]/ E# c* b+ F4 W4 W' ?& a+ Q( s/ S
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
# F* W d+ }. X0 H4 E4 M
1 K' R0 ?) R$ {" K* f/ b( m0 D& Tset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))( n. @3 N5 F9 b# G3 N. e
;;将此次交易的记录加入到customer的trade-record-all中0 g- Q2 t$ N; w1 l3 g# i' v% ~! H
end4 ]* C, w, n) q' Q
6 F/ L8 [ I- z/ `! n
to update-local-reputation
) E( ~* \1 j9 L* j$ f( Gset [trade-record-one-len] of myself length [trade-record-one] of myself
& W I j! c$ j: o) k) V+ |" T" A6 ?. ]
( e5 o) i1 F. T/ X; M$ e G;;if [trade-record-one-len] of myself > 3 0 L& H; A, N0 h$ B$ H0 B6 z
update-neighbor-total
1 ~' L4 ]8 F. u' U+ ?0 Q! S. p;;更新邻居节点的数目,在此进行
9 y( N7 J" L& _% P* c0 i2 Slet i 3
! m$ f, h1 {( M9 wlet sum-time 0
4 o2 O3 C0 h; k+ S9 y- n! b# Qwhile[i < [trade-record-one-len] of myself]
1 @' l- }. X8 J[& [9 ~/ n& y) d( S
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )- W! W/ V8 q$ t0 I% P
set i
; _$ w( {: q, g- W4 l( i + 1)
& g/ f8 }8 [ n4 O+ j) ?- X: S0 D) `]7 b1 P8 K: Y- x! \) `3 d: S+ m
let j 3
7 }! K& H% _- Flet sum-money 06 ]; z$ A% S& R7 d' |- U( g9 @
while[j < [trade-record-one-len] of myself]; P" c) k1 e5 [! z
[
5 t; |. }; _; S' K pset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)3 `6 b# m7 a: W4 q9 L
set j, N: u( m; @" ?) C0 `' K
( j + 1)4 L# b y& @" ^$ |5 F- ^, L7 B8 @5 T
], z$ `+ a" P; L. k, B5 y3 r/ \
let k 3
6 E7 D& H, P2 }$ R7 M* Jlet power 0
) S. j+ O' n$ a5 T! x# olet local 0
* G4 B% g' o( A9 M$ swhile [k <[trade-record-one-len] of myself]
6 {$ L/ H- g( Z' z1 X[+ \4 t+ S# E6 e# z0 S
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)
8 @8 N; D3 y" z0 O$ Pset k (k + 1)
* _7 T9 j) c9 [* r1 S# t4 Y* M]
) ~7 @4 U9 z. U* A$ ]set [local-reputation] of myself (local)$ H( l5 t- }6 T6 ~4 b7 {0 f/ v& K
end
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to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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P. l) |8 P# g' i; xend5 H- M7 _. R: r
0 e* P8 Y; m$ ^; L" f9 Jto update-credibility-ijl a% r4 Q k$ c, Y# K/ N/ a/ X1 c
4 n { {; P# u( Y" [+ e, p
;;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。
% U, ]' @0 G- clet l 0' b9 E _* K2 u( Y; f+ H- x
while[ l < people ]
p' h8 D E4 x7 ?3 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
, \% h9 T+ k' Z+ k' E[& @1 U; g0 b. d0 L
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)" A* O4 Q$ A R3 c9 s6 n
if (trade-record-one-j-l-len > 3)0 U% W$ L/ r( A$ 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
5 s4 G1 Q& a4 b* {9 I5 C+ A4 dlet i 3
& Q. a4 w- d. m/ \let sum-time 0# h+ \* D/ Y" G
while[i < trade-record-one-len]' }& e8 e6 [/ _* `' b5 d
[( t, H0 h$ u k y, n6 c
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ), `0 m; O4 y! h0 K w0 l" T* s
set i; y; _, E+ U. b( k* r: f% i
( i + 1)
' z k& G( k+ L6 t' H, B. x& V5 R]
) I) Q) q/ S" Plet credibility-i-j-l 0
! @2 j, f2 x+ [5 L% `% @: l# I: q;;i评价(j对jl的评价)
+ Z$ {3 z& e) | O2 c4 [) E. o* Blet j 3
, ?) j1 E; u$ v$ m# w9 Blet k 4
; @ g" m, t3 }4 w. gwhile[j < trade-record-one-len]
* H5 S$ R$ i; A3 F7 D y( V4 q[/ I1 X9 M) e! w7 q# F' C! e8 J- s X: H
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- S0 z! z) B: z0 v! g* ~
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)5 y" K$ }& Y# S% d3 |
set j6 E' U! L4 {- G
( j + 1)
$ I& b& \0 Z4 S" }0 I, m6 g' b]
$ x4 W5 d6 ] M' Cset [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 B% e, A$ {2 C$ n! l$ n$ C5 m
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))6 K" C: r) F. d3 a1 d
;;及时更新i对l的评价质量的评价8 x# w4 Q& j. H$ F) M- P0 B, H9 }
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]4 R! P! `7 G8 L- E6 ~
set l (l + 1)+ j) V* E5 o, e3 x
]
3 M$ J3 f) l3 Y! M5 A+ F: qend
! r' Y& r! G M' y8 n" I- ^+ K" z* Z# r
to update-credibility-list$ V* T, N- q) Y0 Z: w
let i 0
~( V' D- a$ Ywhile[i < people]
5 L, \, W; ]# C6 o[6 i: p, ^) a( t0 \
let j 0, B# v! x1 M6 v" X+ A Y
let note 0+ K/ u- l: K/ `9 {' ~' b
let k 0
0 i% p9 Y F1 l; h; G;;计作出过评价的邻居节点的数目
" `5 [" h1 @! ~) C2 C. U. Lwhile[j < people]
1 b% S8 [: E5 [3 k/ U' l0 r[6 p" w$ `/ X$ s, F1 Q. Q/ h
if (item j( [credibility] of turtle (i + 1)) != -1)( g+ h( E3 j7 S2 e d
;;判断是否给本turtle的评价质量做出过评价的节点
_7 U1 u! w6 z[set note (note + item j ([credibility]of turtle (i + 1)))) d' w7 |9 E" p0 g: h( m
;;*(exp (-(people - 2)))/(people - 2))]
) t' L2 _5 j, [5 E9 }+ `$ R$ nset k (k + 1)% t6 T" \7 W* k: x+ Z; @0 W
]
1 e, B( S! d- D1 v1 Oset j (j + 1), D& F( e7 I) t1 i3 L4 J
]
: m" ~4 `( F! z3 Kset note (note *(exp (- (1 / k)))/ k)$ F0 k7 ~5 I$ F
set credibility-list (replace-item i credibility-list note)
( L( L# t: u. c2 F( W& a& D3 ^set i (i + 1)
2 o( P7 A8 P2 H& w- @]
* b+ E/ K+ n) p( d$ q# J/ L2 q% n2 Z+ Tend: A6 m! h0 z! @* t
* H4 A5 [; x J( \, Qto update-global-reputation-list
4 W. L- H8 U5 I% g5 mlet j 0/ A' F1 m$ E1 B
while[j < people]
6 s5 b# _: F$ _( N# H8 S! F8 p- W- f[3 r; l. `% Q2 I0 q
let new 0
. Z9 a& b& j4 B;;暂存新的一个全局声誉5 f! r9 n2 ~, @1 `
let i 0( V5 v7 \) W# k G" u
let sum-money 03 p8 a [9 b, ]
let credibility-money 0
' [0 t& i Y& Z4 M: jwhile [i < people]
9 t9 \/ w1 n4 E0 W( z' E/ [[
* h- F, R5 x' F: vset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))' m7 b3 ~: i) E
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)). J; f8 s, N/ F1 f
set i (i + 1)
' K: C. h: Z/ ?8 K% @) G6 k]# e2 l# w2 k1 U9 d, X
let k 06 c5 p5 b" D$ _/ r a, A
let new1 0
$ }& }' p5 ^, u9 J2 ]. Gwhile [k < people]# Y C: e: e. J+ w& {! M5 x
[: T: m; t5 G! I0 [& P% m
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) |2 q0 [- X+ I D) ~% F" ^* U2 f
set k (k + 1)
8 m6 i7 B) N+ d5 z, J2 n- U" b4 n) r]+ G" o# e3 C u$ `2 O t
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
0 i$ z$ X6 J3 [# S2 ^set global-reputation-list (replace-item j global-reputation-list new)# ^2 E& V! H) T! Q$ k; [( ~* t- r
set j (j + 1)/ ?2 ^& u/ T3 X
]
, u4 [/ i p3 z! [4 s+ _end
, ^# i% Q% d8 I* K8 ]4 ]
/ R9 z0 y! R7 x$ v7 W2 j# ^, y
; `4 Q' j9 w2 {. q) ~
% {2 c f2 u+ T) Uto get-color
1 H' F$ l# H9 f- P1 X T2 }# O; \% D& A: ~8 b3 B% l; C: M
set color blue) z7 m9 q/ T: b, b3 N g! i1 c2 A# j
end5 i* b2 x$ U# _" N# O
3 K* N+ a: J; Vto poll-class9 Y4 B0 U M0 A, p
end
7 T4 b {0 x) X c5 E
! H; D2 N8 F4 i4 D- m3 w6 R" gto setup-plot1" N4 C% U9 p4 F: Z" a
6 p( Q/ `) D* Yset-current-plot "Trends-of-Local-reputation"
) n) K7 a6 r+ ?# u7 d' ]* i; L6 q2 |
set-plot-x-range 0 xmax) `( ^, d8 K9 E
. F7 @# T1 K& }. O- e6 yset-plot-y-range 0.0 ymax! t3 k4 Q& s# d2 J* u% B# w
end
( Z4 A0 Z3 B/ O, T% w s
2 u6 D8 D Y0 L6 w7 j; w3 kto setup-plot27 f; U8 n4 g# f, {
6 e# R6 L, K P* x
set-current-plot "Trends-of-global-reputation"2 Z. J7 z k3 a" c, j
M# v' X% _4 M0 y7 Z* V" a
set-plot-x-range 0 xmax$ d+ e/ R( V- O: C9 S) V
* R( F ?1 K) z* h1 r- b+ E$ @
set-plot-y-range 0.0 ymax( K \. |) }+ r' }4 T5 U
end! z' N$ ^+ z2 A1 \- i3 i
|8 K! O! q) O" N# dto setup-plot32 s1 _! T1 s- B4 E: ]# }
" c- `5 w, ?1 ^" vset-current-plot "Trends-of-credibility"& i, Y; s" [ t* F& Q4 W/ A
_. a/ d2 u$ ^/ z9 x0 D+ ?
set-plot-x-range 0 xmax
# g) V- i u, Q2 A& `9 u3 ~, ]
" C: t, c/ ^2 h1 O9 mset-plot-y-range 0.0 ymax* W) u! _5 \. V4 t' u7 l
end& B; q4 M4 e! g) u" r
$ v; H8 z6 u! _4 \to do-plots
4 R' [$ k, A. h$ F9 {set-current-plot "Trends-of-Local-reputation"5 v8 T3 A8 }/ `4 b* A2 E2 M7 r
set-current-plot-pen "Honest service"5 a5 p0 l( g# z1 o+ r, v Y0 C
end
+ W6 M" {- i" Q! d
: V j" \7 u* d3 V9 i0 }[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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