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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
: ^% h5 T* x* f* @8 Xglobals[- ^) Y- i. }3 |; M# ]
xmax
j4 |3 F2 N" d& hymax7 B5 W$ v. q% D
global-reputation-list2 E' ?( F: A4 [; r% y
+ x% o0 j9 I" b- P% G
;;每一个turtle的全局声誉都存在此LIST中
3 ^: ~9 Y, n# a' q. vcredibility-list
* o2 F7 V0 l( P0 Q; K;;每一个turtle的评价可信度
9 c0 |0 [: b: t f" U2 thonest-service% H) a0 p/ q' v& S
unhonest-service
% C7 }; p! t5 u5 i0 u+ loscillation: e) `+ X8 E! S$ k# T
rand-dynamic' s. e# t( ^( r* B5 B/ @/ u2 N
]
+ I, t5 [; r" W. \5 A9 I# Y( X; ]0 u: s" [+ M
turtles-own[
) Y5 a" D2 M* r+ h$ b* X2 atrade-record-all( C0 m( T5 k1 |* D' C2 k. j
;;a list of lists,由trade-record-one组成 F; I+ M1 W8 f* g6 D4 _ ]
trade-record-one/ ?3 }2 U9 X% P
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录 l0 c8 Q3 H: G) r4 s' y* y
2 u3 Q: X$ U* E. l2 u
;;[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]]* }8 [: R2 {5 {1 J. s- \
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]8 ?; n) }; e% j) R, J8 Z" v
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
( B# ~/ s3 K1 r! X [! s \' ?neighbor-total) }9 i$ O. a$ G4 R
;;记录该turtle的邻居节点的数目: |' u+ _* b ]6 j Y+ X$ K& K
trade-time5 x1 d1 m( g3 H8 o. J
;;当前发生交易的turtle的交易时间
+ o$ t `1 h6 a9 Yappraise-give t3 `. H9 `5 B) ^
;;当前发生交易时给出的评价
8 V0 B3 h+ Y8 d* C6 w, } pappraise-receive
0 X+ W1 p- o/ n" L8 s% q;;当前发生交易时收到的评价+ t5 ^. n5 E' X" _; T! y
appraise-time
( H( X3 H- q/ K# R+ s. {$ x9 k& C/ v- u;;当前发生交易时的评价时间/ p6 j& O* ^% `* \3 ~
local-reputation-now;;此次交易后相对于对方turtle的局部声誉* D8 f* y* ^1 N3 E/ e- B
trade-times-total
4 ?/ h- ^+ v9 \3 \+ ]0 u;;与当前turtle的交易总次数) n# e5 ^4 ]9 o0 v8 C8 f: H2 `
trade-money-total
) F9 ~) O& H; |- d/ u2 d- I3 ?;;与当前turtle的交易总金额
2 p* |# S* g$ u0 @& Dlocal-reputation, J' T% z. L+ q$ G1 M. d! V
global-reputation- Y( U5 L* \# @) `7 k8 s. f
credibility: V l& F0 v/ e" |& f0 c
;;评价可信度,每次交易后都需要更新
% P# N0 K, Y! F# d( lcredibility-all7 W2 Q3 Q& v, v' R9 s+ r. d5 Z( m6 {
;;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5 V0 o$ }; c% e% v' L0 Z
% ^+ W/ d( Z2 v, w0 [3 v;;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
r3 v ^( K2 L! g; `0 Z# z! Icredibility-one2 w- H5 ~6 y( ]0 |5 d! z5 m; T B% 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 a5 H: p4 m; u7 e
global-proportion) `$ q$ {4 }$ S- t! Y
customer
$ n' b1 e$ k+ _( o1 R0 Q! i: ^" G: P2 _9 tcustomer-no2 U) r9 ?) y: w' |
trust-ok
, t2 o+ F y c+ rtrade-record-one-len;;trade-record-one的长度
) W: {0 Z. s2 [7 n* j `6 l s]
4 }6 [- U+ Z* A. i8 `% L' n y) F* r- `7 _8 L3 `5 l5 I4 {. [
;;setup procedure w# w( B; \5 H
1 w/ s4 V# A2 i- y1 G9 |- B, cto setup
% j% \6 F" R3 _ X/ `5 `5 x( o. R
. @2 w0 p! n& Y" x, zca% V9 ^4 e8 \2 c& j. T& @
; M2 s5 l4 A* h* V% k, w" ~- A4 `2 Ginitialize-settings
" s0 R( C' t! K
' l. n* C5 L# T. s( V m( A& Zcrt people [setup-turtles]4 o5 f" Q. Z. N- `2 \* b- P
l" ?9 u6 w3 o7 }8 r$ S
reset-timer$ e: J& q8 ~( J- h9 w
: V& X* w K: W: f3 g5 T" Vpoll-class! z+ j$ {- s6 O( R
% M* x; ]. O5 V: k7 O6 }* R6 {setup-plots8 e' z; L6 [3 _0 t: ^: M
; X* J, y5 M! i, b; j
do-plots
; Z4 L& W$ n3 v2 xend
( P! U/ u) A* ?2 [4 z/ v
9 G6 z6 m- f9 _) \9 Y: xto initialize-settings
8 }. B; J9 m ^5 |$ d4 e# ^ z: C4 k7 }, j' ~1 Y4 z% m- ?2 W
set global-reputation-list []
- H( l# \* [! s% M" ?
* V6 }& }; w7 ?) U! V9 Gset credibility-list n-values people [0.5]0 j+ v% r# r. m+ r+ b1 q) a7 R
* c& ~- ?7 x, \; Y7 o t& \set honest-service 0
8 K- ~. k! i. N% p- a& \: h! p; N+ ^6 A0 m
set unhonest-service 06 n6 l4 j' g* P. r
! h: m# Y/ b5 _set oscillation 02 p8 F. j5 R* o$ _7 T d! z4 Q; v* s
* g5 o. S" D+ e9 f1 f) K5 p* Q
set rand-dynamic 0 @& f/ m! I! W. ]
end' b5 b2 c5 L8 M! Z; `
6 w5 `5 q1 r1 y2 ]9 U$ m" j/ Zto setup-turtles
4 D. E1 r; r6 r* `$ a5 ?set shape "person"" N8 }8 K/ _/ {/ T! }3 R
setxy random-xcor random-ycor
" p% ^4 Y) y: l1 n0 i% A9 ~set trade-record-one []
" [7 h$ l( i. J, z( I4 t
1 u# c: d, {6 nset trade-record-all n-values people [(list (? + 1) 0 0)] * U; W- T7 D7 T9 z# p
; b; R; e% \- l* q
set trade-record-current []" c, p) o; [/ v/ ^* y! s/ m
set credibility-receive []
6 i2 }. Q2 Y: T$ L2 ^, mset local-reputation 0.5
; P. v" R* Q C, Kset neighbor-total 0. p' \8 P! Y4 T6 y3 u( R
set trade-times-total 0- o0 g1 x) j* t# e% n
set trade-money-total 05 H+ v) Q8 j( r& _" p
set customer nobody8 w" [* D9 I; |; v' v
set credibility-all n-values people [creat-credibility]
# H" W5 {3 W& uset credibility n-values people [-1]: F+ i* L" z6 P
get-color
+ E) n. |2 L2 t. U( G5 R2 V E0 v- m
end
5 V" b1 T' l; {7 X! d2 Z8 w' f) C3 b2 H3 j
to-report creat-credibility
; Y; {! [0 S& ?. K: ?report n-values people [0.5]2 t. ?9 H- w' r
end. A2 q G. Z. L) m: X* R# O8 \
1 O, z/ r! B4 k8 x
to setup-plots
]0 w2 h) j$ g2 v1 }; o& u. ]) }* O; E7 f
set xmax 302 J4 `. g4 }4 J" ~" a
9 w; V/ t, n% Y3 yset ymax 1.07 |. W, i" c: V+ L
& q6 w, v2 G7 ~# a! ?- ?5 bclear-all-plots0 q1 G0 `/ P% I5 x6 s3 f& e. z
( G' l5 m# n- n2 X6 |
setup-plot1
6 }- _# E2 E! V, o1 P0 W5 q4 r5 p
7 C- ^" n9 ~+ N, k9 I% J, vsetup-plot26 j, \& }. Q; U) U, d1 H% p" ~
- q4 t) X6 S# m! X6 J; T
setup-plot3
$ U1 [. j' V& B4 t" R$ g4 Jend
- v$ }2 S' V; F" Y" P1 ^3 K R. P4 H0 M4 a7 A7 l
;;run time procedures
* @4 e; E1 t! t3 y9 ?. o) y0 g# G: o
, f( y2 A+ _$ d6 U4 X7 z* s7 Zto go
/ r# r2 g" t8 Y# G5 I6 X& C* L" i" t a( v$ S
ask turtles [do-business]5 y: V+ r$ B3 j* `- ~: H
end
8 B$ Q# y& o) f4 Y9 n( h( W( W0 `# W' K! Y! z+ ?" b. u
to do-business
1 V& `: ~) f( I2 Z7 Y6 l( C+ Q. b+ l& S* Q5 P- E; {! [
* \% i7 C* ]' ~% g6 x( ]3 I6 B0 m2 Urt random 360) c* N$ b8 k( ~9 K% N. o1 V
4 m8 a0 L" n# A% m( v* K
fd 17 {/ X. N- X G2 d r9 A8 r
; f0 q# f) M4 q9 ?" g/ k
ifelse(other turtles-here != nobody)[
" I/ P& X& ]2 @
- d* {9 u# V% _/ q Sset customer one-of other turtles-here
6 A+ h/ q& h0 B% O/ g: r5 `8 y6 E% y
;; set [customer] of customer myself& G( {( s# Z% }+ t: r
; @6 W5 j: }% Rset [trade-record-one] of self item (([who] of customer) - 1)
9 g& E4 n9 m2 U4 z- R! l" f[trade-record-all]of self
& {3 R q7 f2 ~6 c+ q" t D;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self% b) [' S- v- J# @4 I) y
3 d5 A; ~2 S4 s% u9 ~set [trade-record-one] of customer item (([who] of self) - 1)
/ F% \: s! f; }9 I3 Z- z[trade-record-all]of customer& J% |. l) F* [9 p# x
+ p% @, [9 \* j1 K% Y9 ^: Q0 O6 j wset [trade-record-one-len] of self length [trade-record-one] of self; n8 B8 d, s2 X h; S6 X! L
4 s/ ]8 y8 H7 p3 |1 o: ]1 kset trade-record-current( list (timer) (random money-upper-limit))
. O) X6 I3 Z) t: g- O% Z1 }3 `9 {1 L+ C! @1 ?* E( B& q7 b
ask self [do-trust]* s: `8 o) W/ c3 }! r' D
;;先求i对j的信任度
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if ([trust-ok] of self)) t" e$ ^% W) z
;;根据i对j的信任度来决定是否与j进行交易[ I+ Z( C' N3 v( \5 |8 {1 |0 H$ G
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself: m Z' @5 i; o1 h
! q4 _1 c/ G$ ]
[
; X( ~* }. Q" S7 ~ U/ ~ }! R! C/ S: F X8 H/ t1 O
do-trade
2 V A0 ^" R0 O
) P% U- @1 x6 m, nupdate-credibility-ijl( H# H: C: \& h9 u5 o- X
6 R. o7 U: S7 Y- V8 Iupdate-credibility-list
+ \; a" j: `, E4 a% u, r; N! [7 y9 P M0 u! H* \3 s+ X) W0 y/ j+ ]
: x! u, [+ a' N+ I/ j p
update-global-reputation-list, l( `1 u, @2 S' @6 P
4 m! B1 E$ d% ` e' }2 U
poll-class% k* E3 ~! q+ I9 P, K& Q! V
+ L0 b0 f, Z9 w" Oget-color# v7 B1 M9 v3 B6 d ?' S
, g7 ^+ }8 x# e; ^! h6 b+ N j* c]]
9 T' W& ~* j% p- m; p
* U& j4 w; X5 g. y" x8 b;;如果所得的信任度满足条件,则进行交易: \1 D" M4 ^5 }" Q
3 C$ T; U6 s, S3 E( D0 a) x- t
[
u' ~2 E1 V+ z/ T) f1 ~
5 g7 W! l2 t9 @$ \3 `rt random 360
$ ?0 t# d0 H! N8 ], D9 m0 k3 d* i: f O& N
fd 1
3 W& B( G+ ]7 E( X& ~: m q* o
: E7 B4 y3 z6 Y! J( U]
0 i7 I( ~7 a7 R) @0 E- h) `
0 F( c5 G( }( D) f. H7 Vend& r& L A, ~& j X9 N
$ d' G4 |8 R" G$ Tto do-trust , Z- J, b$ I5 q& Y
set trust-ok False% Y, W# A, h( S( A8 n& \) _
; b4 Z8 Z# w6 v- l- ]$ m
/ I! p) y! Y" [3 `- S$ Glet max-trade-times 0
: h0 B& E0 |' Fforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
% B- t7 \4 t5 M/ Z) llet max-trade-money 07 |7 c }% s9 I3 \
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
4 Y; k* T+ U5 a2 b5 p, C4 A3 G- Klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))' a! H: H+ _) z: [
. ?+ Y1 E9 z4 X5 `& q/ k
2 U) i! @( k! d; z& eget-global-proportion
' y2 w1 ^5 _( G* _0 I& H1 x" Olet trust-value ^6 M+ ^9 s9 H' t1 z% V
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)( p" Z3 r- F O$ n$ X
if(trust-value > trade-trust-value)
& O8 K, M* I7 b4 q& r( K1 p[set trust-ok true]
0 R) w: E( z1 t% z( _end
' k+ e9 K8 B1 s8 w6 ?( ^) Y! K* ? }- P
to get-global-proportion
) ?8 \4 P' X/ [* m2 c: zifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
$ f7 Y7 A) `4 |8 U- j, F4 O) Q[set global-proportion 0]; g6 R) W0 Z& ?/ l! e2 S9 p& F3 ]5 h
[let i 0
1 `% f+ h$ M1 {+ Y- E0 r8 tlet sum-money 0
3 E/ b% B' a4 [/ t8 ]while[ i < people]4 W' V. u9 q- n" [0 N! t) B* u8 A
[
2 A) t4 }1 E# j% t2 ^1 C8 A9 k. D; Oif( length (item i
6 Y" {' R- |% c" j& ^[trade-record-all] of customer) > 3 )" X: U! [6 n( T& p8 ]+ y
[: E' {! f9 C+ R8 S* i p; m# d
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
- q2 Z* n* @" o, f' r* l V$ v6 V8 I]
' F+ b+ B4 x) [8 P G" N8 O] D6 I6 W5 ?$ q9 C
let j 0
$ y& U; m9 g% V& q! M/ P- @let note 0
^6 F" J s% iwhile[ j < people]' z- f2 z: v6 H! X: ~5 r% E# z2 i
[ L1 [4 A- Z/ A9 x m
if( length (item i
8 `: L3 q, J6 j+ W! S- q: {( Y6 e[trade-record-all] of customer) > 3 )
# w( e1 g! c2 M3 Y r7 B- d: N- P[, r! @7 T; D& a7 ?1 f+ o4 u
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
" u$ ?1 j( {! b( q. h[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]7 K/ p" x$ j4 P; z
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]- M0 ^0 a1 P# ?& [0 K! x0 B9 S
]# O2 v$ D' P. N4 B) t
]) B8 l' Q- x1 B! V
set global-proportion note: l7 i& b) h$ D% ^
] L, X* a4 |" n) ]( h1 q
end7 w+ s) D6 J' F" J. s3 @2 N
R# }+ i: d9 L! V% u
to do-trade! [1 k' C) Q$ ^7 k
;;这个过程实际上是给双方作出评价的过程0 X0 `: z6 ^ p. v4 K
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价1 p) @0 Q+ b M$ }8 k7 C/ u
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
: |+ g0 h% y' P' Hset trade-record-current lput(timer) trade-record-current8 V( D1 B, `$ u E2 j
;;评价时间3 E# h# g7 ?/ x3 f# j
ask myself [- i9 R3 I* t6 b) d2 Q
update-local-reputation3 _2 C: h) z8 W0 B" i+ B8 Z/ _6 m
set trade-record-current lput([local-reputation] of myself) trade-record-current
8 w" }+ |7 g$ i9 k) w6 ^]
8 H- K9 _1 T, `( xset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
* N0 \& _: A" b" v; E) t7 H;;将此次交易的记录加入到trade-record-one中
% Q. D2 N; X% a$ e; ^3 c, @- mset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)4 [7 ^7 Z1 i2 O; u0 M' n9 n) m
let note (item 2 trade-record-current )
' {: t/ j' _: {! n2 y7 X! [set trade-record-current
& H, r& U6 Y a9 F, v* r- e1 D(replace-item 2 trade-record-current (item 3 trade-record-current))
0 H! c% C5 S+ Z5 r; ~set trade-record-current
8 D; f( Y1 A6 ]" A( h(replace-item 3 trade-record-current note): K* r* A( m. A
3 c/ L9 ~" T- x8 l# h+ w7 V, f2 ~/ N6 g) S/ F
ask customer [
# B; h& @- J8 Uupdate-local-reputation
- n* G) Q# @6 B6 mset trade-record-current
5 A6 H+ X6 B$ C4 ](replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) # r; N2 O8 e* z9 E2 y3 S& G X
]$ ~2 }/ q) T) E8 ]
( O8 {: h6 z1 r8 d
& L: |. _9 x3 Q" E9 e; O
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, E2 m1 G0 o: ]; `1 r
& F/ T+ r% m. m: n; ^- Q
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))8 X% b, u4 U2 n7 o
;;将此次交易的记录加入到customer的trade-record-all中8 z8 O( i- F- y/ n
end
! x5 n0 `4 _3 E3 I+ `2 I% m8 x' ?2 V" o# Q
to update-local-reputation9 s- M7 z7 k7 v) x
set [trade-record-one-len] of myself length [trade-record-one] of myself
; q! P1 ^% R2 R; D Z4 V$ q2 O0 `& G' P5 H
6 U& G2 H) b2 s* Z$ P% ?7 V
;;if [trade-record-one-len] of myself > 3 0 a+ k8 o. Z2 P2 ]3 X3 h
update-neighbor-total. n$ x# i+ t7 c6 F0 d' x' q& I' ~
;;更新邻居节点的数目,在此进行- u) j' C3 f3 W1 g
let i 3
& w/ Q- b6 l0 Slet sum-time 0
# u( E& D0 r2 X8 {while[i < [trade-record-one-len] of myself]( ^/ g, y; C/ Z% j+ \7 v }7 S' A
[3 n2 B: S$ o* p# n2 O6 Y& ~+ J$ e
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
# u$ w5 X/ |8 w6 j$ rset i0 x- i9 \ }6 F' d2 r+ j
( i + 1), u8 {' @+ I1 c1 G
]9 {/ s I. m4 x) J$ t8 a2 n( K
let j 3
4 o3 Z3 a& {" r4 I$ |; Vlet sum-money 0( l# }4 b1 g# q4 \3 R- L3 F/ B
while[j < [trade-record-one-len] of myself]
. ^" |, ~ d* j+ @[( D& ?; _7 R/ f
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)
8 _& T- k" N" P0 \9 V: A# Cset j% M$ S/ [: p+ |3 T# f* l. M$ n
( j + 1)
# I1 O! H5 U* ?9 X5 ]4 v]1 \+ D! m/ j8 z! M/ z
let k 3
* A( f6 Y- D1 M# ?# Dlet power 0
! m: q* `9 E6 l; qlet local 0 j5 E- F8 o. t2 A7 b& T% i
while [k <[trade-record-one-len] of myself]
; Z& c; v3 u T, N8 V[6 V" \' L, c' U/ Q
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) 2 F3 \: k3 f3 w
set k (k + 1)$ \' S% H# \2 _: K
]
8 s% N8 w1 G7 A4 I$ Xset [local-reputation] of myself (local)
0 ~, N' R( `, Rend8 n+ _+ s5 V1 e1 g# K
8 X d% O+ k1 Q2 Fto update-neighbor-total
9 P# j9 J! b% T0 D) G; j( x
& k+ j8 b/ u; s s: Dif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]: b* L' s9 n0 P# x0 {
% g4 [5 b/ t/ p
7 p3 w3 }& n: V. }end
4 t! y3 }7 y j( d6 X5 L0 M/ |9 u& u2 l" K* \8 V' c
to update-credibility-ijl 6 J1 v0 k0 f: K: [) t4 R; l
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;;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。
) v0 g6 _+ L/ n: t( klet l 0
# m' V' f. N+ A. w: ^* [1 g0 rwhile[ l < people ]
; t2 A! f& {! x8 Q7 I$ M;;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)
: R* W& ~ U; J, p5 L9 O5 lif (trade-record-one-j-l-len > 3)/ g7 G* z4 I7 b/ J$ w
[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# y$ ?/ a D2 B+ \
let i 3
& k$ z. K3 v1 t2 _- g' Glet sum-time 0
! A5 F# E0 N: W5 l6 K0 R/ ^while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )' ~, }/ h$ s& v
set i
+ _: {8 a1 y- l" b- O4 R( i + 1)
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& {+ {6 D7 D; l7 G" |+ [+ glet credibility-i-j-l 0
1 |# n0 u+ z& T# |, m3 D$ Q;;i评价(j对jl的评价)
6 J! d+ K3 B) Q- Q, `1 p' Jlet j 3
1 y) I; f) P1 vlet k 4. I3 w f$ b: r
while[j < trade-record-one-len]. k/ b W; y9 h& A) ~3 \! [
[
4 |" _$ h# m! U$ b) awhile [((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 z: z" I4 a8 T6 u# p# K
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)
+ D) G! n" R: \( f( c( j' N# w, @set j# \6 d" q' d9 R `3 x/ U5 K' w
( j + 1)
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O/ ]1 H) v1 H# C/ B Z+ hset [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 ))0 Z4 D. f' F; P% }- x( l
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))6 V* {0 Q. ^. b, V/ d5 a" r
;;及时更新i对l的评价质量的评价- N9 k4 d6 S# x$ r! m/ U& U! M
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]( T5 h0 r2 A( x1 q
set l (l + 1)
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. [/ d$ M! U6 r" r: n# ~/ W7 d5 W. eend2 E0 e1 C+ n+ {5 B6 L. a
! a% V% a4 q& j. T- U* nto update-credibility-list0 T. p) C' P) X3 f
let i 0
) A+ [, ~( t8 Q3 W8 X8 B6 t/ s% Iwhile[i < people]' I7 T: R7 w* \# x/ w
[
( c+ t; u9 q; Z1 x4 ^let j 05 ?3 z; o( i k9 o3 J) q
let note 0
" ]1 q! N! u# w& ~% u" ^3 G3 Tlet k 0
! a1 v/ N9 M4 f$ ^;;计作出过评价的邻居节点的数目
/ K& Z3 O8 v; W$ B# K* w v8 {while[j < people]
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if (item j( [credibility] of turtle (i + 1)) != -1)" q! b! o6 @9 x* P0 r; Z4 d8 @% L
;;判断是否给本turtle的评价质量做出过评价的节点5 L8 s* ~3 C' k( v ?
[set note (note + item j ([credibility]of turtle (i + 1)))5 l0 ? u2 r, q+ i
;;*(exp (-(people - 2)))/(people - 2))]8 g5 [: @1 W. Y
set k (k + 1)
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set j (j + 1)3 R8 M1 E0 j6 R& ?
]
" L& Q% Y! y7 K6 ]1 `+ e0 t, Uset note (note *(exp (- (1 / k)))/ k)
. e' }+ b9 i- U# F fset credibility-list (replace-item i credibility-list note)4 ?2 [. D6 O G% a3 L
set i (i + 1)
0 ?+ \1 j, ]5 e' M- K y]
6 U) c* X$ j, G7 o/ Jend1 P# j+ X1 x# i7 q' H
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to update-global-reputation-list
, W- ]# ^+ e7 ^; H6 G2 ulet j 0
$ ]+ U- M1 S! F. N6 S8 Dwhile[j < people]% w/ _4 x! A; d; q
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let new 09 J$ j6 A H0 j" ^0 E
;;暂存新的一个全局声誉, T( p2 `1 U' M. q/ X
let i 0* y6 K; B0 E4 L o: r% ^. | \
let sum-money 08 q" q' ?8 [0 {; i8 {5 d& R
let credibility-money 0- z! C6 M' e. x1 l
while [i < people]
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& u+ ~- z2 h9 `+ U; }set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
0 @3 @- ^/ H0 M' `, k2 O+ pset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
: ] O- Y; R) ~/ g1 Y1 H* e" kset i (i + 1); P; U/ `; J% D( W$ B3 Z
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let k 0: ^3 ~: m$ Y$ G/ R# P4 e3 p* ?
let new1 0* O% A2 c) A8 T0 P
while [k < people]. I6 D( `5 o' r
[
, T5 |5 M, d# h' N/ 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 O2 b% i* y- G" G( [+ O/ [, Vset k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 2 ^# c6 y! ]9 `5 ?* f
set global-reputation-list (replace-item j global-reputation-list new)
. {6 e4 b8 r& w8 ~set j (j + 1). z; e' ~8 G' @1 I$ K6 H
]
* k# s' N- h3 Wend
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+ c. v. F$ u9 |" I2 S$ P
& f9 g8 c: j6 L A: K& Tto get-color( @; J; U# a* U% M
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set color blue& b$ y7 y# s5 M% I# x* C3 I7 }
end* i, y5 e' t" T6 ], J* |, L
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to poll-class6 F6 |8 p" P( G8 w- B+ Q x* D% c
end" B( r, P: M% r G3 ?$ I
6 z9 ]. B% \( s6 e3 y' @7 L4 Jto setup-plot14 F7 R; n; k5 S) k/ a4 s
2 L R2 z B6 B, K1 s" E- X% P3 pset-current-plot "Trends-of-Local-reputation"
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set-plot-x-range 0 xmax2 n& }5 c0 d0 c0 u: q" h' q
' j' k- [$ U! s2 X- |3 [9 o; z
set-plot-y-range 0.0 ymax
* R9 b$ m) M: m( d6 { f! ~, t, zend
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to setup-plot2) q* L, Y# D1 M1 Z
) w& q i/ q- Oset-current-plot "Trends-of-global-reputation"
, X5 ?0 X' [% b" a. ?+ U" \% O7 r' L4 J- o/ H) X
set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax" b. L0 v2 s) y7 p6 X$ O6 g6 j, s4 H
end
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% _' N% R0 Y0 v6 g( G7 ` ^+ T5 f- |to setup-plot3
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# G# K) K7 y1 L: m% Yset-current-plot "Trends-of-credibility"* X8 _" p% u* d: F
- s7 u% P' M( g; ?& l, Uset-plot-x-range 0 xmax1 L9 Z9 d! ^0 f. F# y, \
) n, J5 v+ ~) Y X
set-plot-y-range 0.0 ymax
, L" i, s& I/ V$ L- R, I; y9 Vend; o6 g! R$ ], j, A
5 P2 F+ u3 S& j) sto do-plots" _& `& j% b* e7 ~! ^7 l
set-current-plot "Trends-of-Local-reputation"
7 H6 e/ X- k# t8 u" Dset-current-plot-pen "Honest service"
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8 ]& P7 Q( W5 p1 N[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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