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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
! h( B7 k5 P* |: W1 X/ tglobals[* q- u8 ^# _7 J$ O( M5 J
xmax- G& q& K& z Q# H! T+ |; M7 B
ymax
. p! D" d- x! m K& lglobal-reputation-list( [3 ~& s( G S
9 e( W% U3 f. j" A$ ?: R4 u" ?- ]# N
;;每一个turtle的全局声誉都存在此LIST中5 l) j/ u- H' @! W1 u' L
credibility-list
2 M* _9 R3 @# v" l. D, _$ H2 I. D0 {;;每一个turtle的评价可信度
# P7 V A0 r" |" y/ Hhonest-service/ O/ N2 \. x/ }- R: J1 C
unhonest-service
+ @, C$ j4 J/ F- X0 I( yoscillation" y4 k- c1 M* e- r3 C
rand-dynamic9 `7 f! f/ s8 e
]
* u. p0 W. I B. e1 z, r% x) L3 N" `+ X9 h3 f
turtles-own[6 j2 t6 q `9 c
trade-record-all
, r- ^! F& c7 ~;;a list of lists,由trade-record-one组成0 |+ ?( ^; P/ M% E
trade-record-one; i! E5 X; W1 ^: u7 d0 N8 H
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
) `* `* ?5 S! [$ c W. c
! t3 B; W8 E3 ^* r9 }0 L;;[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]]- A2 Q. u3 F2 ?6 \9 M r9 W& X
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]
+ f: N: y5 s: s; l6 |/ O. E2 Kcredibility-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" F7 O4 I3 @1 ~6 c% N
neighbor-total
2 @; f9 r# o' w7 F, A4 Q6 {;;记录该turtle的邻居节点的数目
+ y. y6 ^: l* z9 e( p @trade-time/ f6 B' O2 I8 g
;;当前发生交易的turtle的交易时间
1 j$ _. N, H3 W& ~- uappraise-give
7 |& D3 a( }& o2 D7 ~) J3 F: Z;;当前发生交易时给出的评价5 g. Z+ `( P8 t9 V5 N
appraise-receive4 a! L+ j% M2 F: N2 t
;;当前发生交易时收到的评价; @' ^, G+ ]2 E- p- G2 b( h
appraise-time" N$ t7 [; `9 u J
;;当前发生交易时的评价时间& y4 H+ K f0 k V% I
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
# [* m5 S9 T' V6 a: Rtrade-times-total
+ Y* v9 c' c3 b* X;;与当前turtle的交易总次数" z+ ^/ r! t @: P5 p! M: ~% N. I
trade-money-total" A; u. A' k4 y9 \( |" d
;;与当前turtle的交易总金额
. C1 g& Z9 R' T. j4 D, \6 p5 glocal-reputation
% k6 q- a9 q4 Q( W- r0 O8 h) G' }global-reputation
! Y7 X: y. W, _ | ^6 X. d& G3 Scredibility4 W- f# L- d" u! s+ K; [- | L8 ]
;;评价可信度,每次交易后都需要更新
5 e" o ]2 @& I- Mcredibility-all+ w) E4 J3 j9 K, |
;;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 k7 K j1 y2 f! t
' I) J: J. ~. t* ^. G; R;;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 f+ ]3 ]: }$ q- ecredibility-one
' ~8 C) D0 F, P' M;;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
$ P: g$ S0 {* ?9 Uglobal-proportion
! I' [2 C9 E& N6 t# Ucustomer
! y N9 |' ~& o+ Hcustomer-no! w/ m( e% T) F1 f, M, I% `, [$ g
trust-ok! q! ]0 _) A. N
trade-record-one-len;;trade-record-one的长度1 j1 h2 l$ t( S7 t8 T
]
+ d* G$ i7 n! a2 I; j+ C$ o$ C# S5 G9 h* a( X3 N
;;setup procedure* N' B. c: w& w
" }- `* m3 E" ?1 B% d: v+ m, ]+ i5 tto setup# {* G% p" g. x
5 h( w/ Y ?% P: _
ca, Z8 j9 V5 B8 ` I6 p
L: c5 [5 r `; zinitialize-settings
! K, q( C5 M; b% ^+ @3 M5 ?1 U$ a+ }" L8 M" L' ^) o
crt people [setup-turtles]
- {- ?: i2 Y; f5 V3 P7 m: ]
1 H2 @( Z: L/ Y, I8 kreset-timer
' ?5 b" F" \3 `2 o; D6 V( y5 G8 E! k) F& J- @4 x! w& L# w
poll-class
; z* e$ L7 ^" H0 J8 c! @; h$ r5 j7 n. \( U2 ?: _: l/ G! W7 S# i
setup-plots
, J2 C2 k: o; A
5 x9 ~9 V( a5 Y( b! }do-plots" v# i$ N, y; `$ t6 ~: I8 G( v
end
( n: _0 B9 ?' \: ^1 A0 e( K# d' \5 U, e
to initialize-settings# c& R' k' O5 {
9 V+ j9 n; d7 ]; O- j1 s- N) p# rset global-reputation-list []% Z* d/ p; X. T* K7 X! ?
9 g2 G7 }- s! f% q
set credibility-list n-values people [0.5]) X1 ~# V, _, b- S& U3 ` G2 K# K
4 {5 g1 Y. Z, |4 e3 G) ~. n
set honest-service 0
, U0 q1 |/ }6 W/ w5 i7 o. ^
, V4 Z: {7 y2 c+ `set unhonest-service 0
9 K7 c. L+ T5 }/ \# S6 R5 _& g) {7 l; \- y) l( e7 e$ A
set oscillation 0
U0 o3 k5 J+ S7 `1 Q8 t) ]7 v. h3 y, c2 O
set rand-dynamic 09 {3 }. K: d& i6 C: q3 b) R
end
. j5 m0 Q0 y* v- v5 s5 g8 X5 V# a7 M8 o2 _
to setup-turtles 6 Z9 F0 H( ^' O% R7 @) C3 i
set shape "person"
' a4 ~+ v% M# S- ]. w. ~# q. \, rsetxy random-xcor random-ycor. e# m' g" L$ F, v# w2 S- D/ p
set trade-record-one []" S2 P& d4 F+ Q# K& S
# h( o6 e# L$ p; e$ `* |9 Iset trade-record-all n-values people [(list (? + 1) 0 0)]
3 _# m' ?2 a1 e& h
i7 e x; U3 j3 Vset trade-record-current []
$ O$ ^1 E0 ?6 s @ i3 _' e: @set credibility-receive []
$ \! z1 }9 H. N' v0 L' p/ U: k: G% cset local-reputation 0.5* d4 Y. l7 m8 H% e! I/ P' m
set neighbor-total 0
& ?/ V7 ~8 g; B* p5 N9 m/ K" Iset trade-times-total 0
4 V5 M/ P2 h* m6 |6 T; N, l( _set trade-money-total 0
# O$ ]* P6 x. Z0 P- Zset customer nobody/ `; |- Q, Z9 M# g$ h `* o
set credibility-all n-values people [creat-credibility]* s' H: E5 _3 J/ g: Z6 G5 n M
set credibility n-values people [-1]& g2 v6 X$ P; k% N
get-color" S [ w+ g( A; m! F
% E2 K7 u8 t% i$ z
end8 ~& A' G3 C# o# a
% F/ E6 }* G2 T3 S4 Kto-report creat-credibility
% x& U+ P* e# o& z4 U' b+ o- j0 F- `report n-values people [0.5]
& }: R3 F2 A+ J4 K: K" k9 ^$ @end
$ ~- k: E) x( C. D0 J2 v" t, N% U, n6 w2 e
to setup-plots
8 L: f6 X2 F/ T: Q" c2 R
( @& {! F" B" b0 i: iset xmax 30
8 h3 n- E9 i/ w
( |9 b `4 j. w3 Z8 u! Z' rset ymax 1.02 j& I( Z) n: I. `
) m6 g. m6 ]2 W
clear-all-plots
3 R( W. q8 I4 Z0 v- B& T, s& K+ s! w k7 L
setup-plot1
% B: J2 X* \7 o/ s, \+ ^
2 |* f% o8 S1 b* M' psetup-plot27 }6 G/ H% l4 x. H" t# J
+ L, w" s! X( {* J( |setup-plot3$ \" Z: I$ E0 C' C: I
end
1 e" c% v# x. p( h4 W6 r# q8 |' f t6 k1 U1 z
;;run time procedures+ C7 D) Z0 V5 v7 T
! _5 K6 d: W% i
to go! u) }$ B6 z/ u: T% _
k0 @# z1 }1 |2 A
ask turtles [do-business]- e7 d* n+ I/ C6 h1 J
end" I! ?! O( U$ n$ d4 k/ `0 W- S7 c
- W) V6 v: I( I" x% j1 B9 F
to do-business
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) \2 x1 K* l; F3 d, m4 ]- S4 l7 V* ?: ]7 A3 h
rt random 360" j. Y- X; |) F& t3 P9 I
4 ^4 U3 \. [7 p3 Z4 `. Nfd 1
- s/ [% y( V7 y4 ]1 ~# v/ u5 o/ s: z5 f& O7 p
ifelse(other turtles-here != nobody)[
5 F& q1 ~+ Y+ r) j) o% Y8 {5 w: Z3 M+ }9 O6 ^) O8 v0 D4 c" z6 f
set customer one-of other turtles-here' K% H3 g/ w0 d5 l8 c! v
! B7 Y; r1 P$ b. q) O;; set [customer] of customer myself$ E$ D1 F1 U; Q0 Z$ n, o' f7 \
- P( ~2 r0 S+ v" o" C: Zset [trade-record-one] of self item (([who] of customer) - 1)
+ |2 H+ [2 d) U* y[trade-record-all]of self( z9 l7 f0 z* w! G0 p2 P
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self/ [: S. S( R8 O+ s
& K: @- O# u4 j
set [trade-record-one] of customer item (([who] of self) - 1)
" z) y- p" _' ]/ @) K. @[trade-record-all]of customer
3 y! z! _: [0 J8 Y" I5 u6 U
- E8 y/ _, c3 z+ f& ^! nset [trade-record-one-len] of self length [trade-record-one] of self# T! a; e9 Z" J- U, t2 _7 E7 v
5 E1 L; O1 r- x4 q) z5 S" Zset trade-record-current( list (timer) (random money-upper-limit))
* z: _ P; \: o
0 ^5 ]6 F$ ?7 M2 G7 Jask self [do-trust]
$ V+ v$ W4 a5 j7 C;;先求i对j的信任度
" F; a$ q$ L9 ^2 z) |% c" S% K$ Q6 S: M4 v9 f
if ([trust-ok] of self)
+ ]$ z6 O, S1 b$ r, @;;根据i对j的信任度来决定是否与j进行交易[
5 Y t G( l1 q0 B8 cask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself7 ^3 F/ M9 _& i: C
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[
7 c4 Y0 {4 I3 a8 i& t; A; _9 M1 j; [ v) [5 q; l
do-trade
: F" t3 [ n- u Q; c: I D+ Q `. \. j! i8 S7 A
update-credibility-ijl
& ]6 b5 x, O* D# O- i! \
& v8 ]# \4 a' P/ C5 C8 D& D5 Yupdate-credibility-list8 T# {% s6 i2 m8 _4 C
d; P1 U: w- @7 b. N6 `
. x# Z3 H) @8 L6 V) m. z3 fupdate-global-reputation-list
" E) M1 X# e3 Y8 B" r/ k
- z0 u- U( W; [3 b! Ipoll-class* t" i7 k5 f2 } W
$ }1 R5 R- s c+ f; y- aget-color
* j8 B# [5 d0 L" Q z/ o7 v' Z: D
! h- ` C' e& k& g1 a2 W% v]]% f3 `6 C; D$ a
5 u2 H* A- U- |) j" W/ g;;如果所得的信任度满足条件,则进行交易
% ^4 l) C' l$ v v' X0 B1 |: |4 K7 H: F, J: |/ V
[
* k: n$ \* ^) s2 W3 i5 ~, |8 k0 @; t* X* B6 u! [" I
rt random 3604 p4 m4 Q7 f6 l# i4 @
$ D* f {; @; A" _9 u! V2 B
fd 1
2 ~# r* z6 ?7 v
/ C$ g6 ~2 J, R' |' `! x' D+ a]
. o4 \3 Q' x* ]- F
) ~: r& p* z2 y# Iend- ]' I9 ?6 G1 y' j! J; c! h- b
, ^1 X2 [; X* P5 G, }
to do-trust
. K, g# ?- y& \; b9 \- Z2 Dset trust-ok False% b# m9 @; c5 N0 _. Y
% s$ c& q) t2 I9 T$ M
- O9 M5 P. w5 N ]; alet max-trade-times 0# t- _3 g. X d& V
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
3 h2 e1 b+ o- k8 q. Blet max-trade-money 0
; E7 f% @: b, gforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( D5 k" S9 I4 W% i9 x G1 ~
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
( [* x/ @! r- ]6 R* B9 G- w5 g# I" p# B
2 [" K% Q5 d+ {( t& a+ H
get-global-proportion9 ]( A0 N1 S1 X ^. V! E
let trust-value
% i6 G }+ E0 V! @6 n0 @) zlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
5 `1 N' p# Z4 u1 mif(trust-value > trade-trust-value)- l) G3 n& f7 B2 j' W
[set trust-ok true]
- q: g% U1 Q- x7 M! h- \3 Gend
, b) g3 N) |: k" c4 y: V9 W7 p* @$ N% k& e+ {1 o" h
to get-global-proportion B7 u2 D0 ]& d- R7 ?
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)5 Q; C" {3 h5 A# U$ A2 ^' M+ ]
[set global-proportion 0]: _+ |0 N. H, q
[let i 0
! u5 m; j @1 o! S% ^; k, t( @9 Rlet sum-money 0) e5 K$ R X2 u7 ]
while[ i < people]- q3 q O- C# R- q5 F
[
, k, ?7 d- B5 ]9 Xif( length (item i
' \% l/ a4 t P" T[trade-record-all] of customer) > 3 )
( P4 h2 p0 _+ n' E: p2 }+ ~[
; r4 L2 e( A8 u. t6 X7 Zset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
" q1 f0 U0 W' d" p]8 U! u1 y' l+ d" C3 H- `+ r6 o
]' d; Y3 d$ f/ X
let j 0: J: o; S' m2 E. Z) h: k; p
let note 08 ]' h1 ~$ o% m& B8 i! J# @: W
while[ j < people]; g, m3 b3 H- S* \: h/ C
[9 z# e' g# m. H1 I1 r
if( length (item i. B5 j! \3 G1 Z* H
[trade-record-all] of customer) > 3 )
& \8 t6 C" [- v- C8 `[% p/ @: A5 T( p" f4 z$ ]
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
+ q/ J1 p: u! b, e4 |6 }[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)] e1 H% G( R* N! x& j1 _; G
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; o5 s3 Q3 P; U9 s0 S- e
]
2 U a2 k8 ~ q3 V4 a) S6 A/ o]
% U3 J3 x1 |4 `+ bset global-proportion note& R' e) C( S" l. [: P4 y9 L0 ^" b: g
]! h1 a( j0 E/ H. D% k8 @5 X! m/ `
end% N: ?/ A! E- n* Z4 v/ M4 E% c
, G* B" r9 q' L& I
to do-trade" c; S! D9 |# H# Q1 D ~# N+ \3 W
;;这个过程实际上是给双方作出评价的过程
) Q0 I# Z* p! P- P( X% Z k: V6 X5 eset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价) F9 Q0 R2 C9 N9 \
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
- t/ Q. D/ F: U' I$ a9 Y J- Zset trade-record-current lput(timer) trade-record-current6 |; h4 n* S& M1 ^) Y! {
;;评价时间
* s2 }) y: L/ d0 _6 J Cask myself [# I: n$ F- W/ u( E) q/ c) x
update-local-reputation* _7 d/ y( v) j& v, \
set trade-record-current lput([local-reputation] of myself) trade-record-current
/ G0 k/ Q" [* ]& j3 H]
, Y5 @) N5 U3 X( i. ~set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself2 R. `! X) T& f. N! x
;;将此次交易的记录加入到trade-record-one中
# P8 r& z4 d' H5 n% k. W/ O& yset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
' Z% P6 f j! J ilet note (item 2 trade-record-current ). t) h- P' u" w4 u+ ?, D6 k
set trade-record-current% e4 y# J- [9 ^, R2 s' \1 i+ Z
(replace-item 2 trade-record-current (item 3 trade-record-current))
% I$ N! A3 A1 [" ]- X" |7 \) fset trade-record-current W4 R- y6 P; c2 |8 c4 @
(replace-item 3 trade-record-current note)2 Q; F$ N1 F" m3 a" y
1 n6 X/ ]6 c% M2 b1 [) w; S, M# D3 W4 E9 I. I
ask customer [9 b0 F: }% E. \5 W% H0 J
update-local-reputation
' F1 n/ Y3 [9 n4 B4 X3 T* c% ?% N( Zset trade-record-current" {( G9 N$ H5 C8 k4 T; j& E4 I
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 3 s* ~, C8 W) v
]
6 L: q' [' A- Y6 `5 {+ d! v) [& D$ \9 i: }" V; D
% d: p4 |, g7 \) g7 C; N
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer# C4 X) i$ N" B9 h& S
& J% C5 }0 t8 f; X1 bset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( S2 I$ U+ N7 i;;将此次交易的记录加入到customer的trade-record-all中3 @. ~0 Q& _. c/ \ q Q/ \+ Q
end
r7 X* A b" Q. D/ H5 M4 R* {2 ?) u9 i/ y/ I
to update-local-reputation
) `# R8 R* o( a/ r9 Rset [trade-record-one-len] of myself length [trade-record-one] of myself( c' p4 I9 ], R2 g- s9 y- P
+ Z3 O4 C, L6 V, V
\* Q- ~* ]9 x6 \/ [6 ?/ @$ A;;if [trade-record-one-len] of myself > 3
0 {, G1 c% v2 u. T2 mupdate-neighbor-total
6 y& C3 b. B8 Y F2 e. V% b- e6 P;;更新邻居节点的数目,在此进行, E4 O' h4 |% M M. O
let i 3
% W% S# }4 T" llet sum-time 0
I: m0 e2 T. {# A7 h8 |while[i < [trade-record-one-len] of myself] W2 I: L5 n" h$ F5 E L: d
[
1 `0 D$ _0 W' h# }% t5 p* aset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ) J3 R1 h; d8 C( ~7 H
set i3 T" K1 ?3 i, m; R
( i + 1)
- G! m3 o6 u5 R]: a8 ^, b$ T# ~ r9 r. P6 L
let j 3
( x1 F, P5 ]1 O% u1 [let sum-money 0; ]. }$ d& d. k. k
while[j < [trade-record-one-len] of myself]% o: h' C0 x( G7 l% q$ G: s
[1 r- v& O3 ^' y8 s* B2 G" C8 }. 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)
( c! a- O" _4 e, r! A6 X" i# Yset j
9 S1 r8 k1 `: N4 C3 b( j + 1); P y; Y b" n* [0 J8 v" ?' v
]- z+ D# P D+ r2 A: L$ s" |
let k 3
$ ?0 m5 D% V8 w) ~6 F9 Vlet power 0# F# l" m. j+ i& ^5 M; A2 h
let local 06 D3 B5 s6 s7 N' F. ~! a! a3 F0 n
while [k <[trade-record-one-len] of myself]
, I1 T; U+ p+ g8 ^6 Y[) H6 ^" }: p/ u% p) A
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) : ?; g9 Z: Y4 C, K% v7 C' w
set k (k + 1)8 x( u" Q" s$ P) J8 t3 [! l6 Z
]' S0 t3 {- s( w' R& \3 g
set [local-reputation] of myself (local)
$ Q( s6 N R; U5 U6 Z5 |5 H: xend% k2 |5 U& g0 k( v# O6 G
4 A" j/ g# e" J
to update-neighbor-total$ z% e* J" q6 Y+ t
$ C0 [0 b/ O8 ^" ]; l% N9 N
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
+ w+ v) ^/ r/ |. B* ^* e3 F4 L- [. ~% X
+ v0 i9 y Z" }4 Yend
" j$ Y( n3 v+ h4 }% i
8 h5 q$ N9 G/ b' Sto update-credibility-ijl
7 V9 B. E1 g2 K+ S& {! y8 H" _2 S* N2 E. [5 W# w- J1 ^9 W
;;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。
( s3 C3 [5 o# x2 | {+ Ylet l 0
9 m2 Z+ P$ _3 i- F% F; u# J; Lwhile[ l < people ]$ U% r) Y! c# F8 m, x6 N1 d
;;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)
" o0 T6 o2 `& q3 I/ k1 Y# X) G$ aif (trade-record-one-j-l-len > 3)% Z1 Q1 G7 ^% @% v6 q( @- Q
[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" P' ?8 O' E. Y' N+ H
let i 3& v e8 n9 e4 x1 W
let sum-time 0) c7 S. ^/ \: j7 B
while[i < trade-record-one-len]
: ?. j* }1 [6 |0 V4 B1 l[: _2 | X% x& }8 S+ Y
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )) i6 j+ [! P$ E
set i. C5 Q/ ?3 X9 C P, G/ [
( i + 1)" ]$ w7 F1 i' \/ M$ Q- t
]6 y, A" u% X2 }* K5 I
let credibility-i-j-l 06 B& M1 D w3 g9 Z, l6 G! f
;;i评价(j对jl的评价)+ I; N9 V6 @3 s S3 J3 v. ^
let j 3" i+ m* W7 j' G$ ^ V. v
let k 4( I, V w: I( `/ m- i4 P; [
while[j < trade-record-one-len]
& ]' a9 `3 H# o, h- l+ M$ J1 T[: A; S" B" s9 j, ]8 x( G- }3 d
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
- J; [( e* m5 Mset 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)$ V: n! C! P! K7 a
set j" v& }5 X) ]' Q; i( v, ^
( j + 1) K/ v6 ?" K9 w* J
]
3 ?! r5 Q3 Z9 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 ))
6 Q2 A) y4 f+ g T) m- A: c4 f# i W: w$ q
: I/ y- N- P. v: W! l
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))9 ?% G1 v! F! d" _. y- v
;;及时更新i对l的评价质量的评价
) U+ I; a. f! o0 Uset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
1 ?5 |* O, a- E# [+ rset l (l + 1); M/ t, W* H$ Q0 o2 t2 u o# h
]
) h x8 d, u% W; f9 g. d0 o% w* Oend" H( d( w4 U) X* e% ]( e$ [- o
N3 |0 G; j1 ]% C0 T2 W! n0 ]
to update-credibility-list
, x3 C5 Z H# N: Ulet i 0
* k1 h2 a7 H$ D* W% L2 vwhile[i < people]1 Y# i( U0 N) c' z- c" r
[
0 C* H8 v1 q& V3 U" W, L3 vlet j 0: F+ h! r, C7 Z$ H: F7 D
let note 09 K7 @& v4 A; [5 o& w! _. O9 n
let k 0
. l3 k3 q" b" Y/ c. C% A$ ];;计作出过评价的邻居节点的数目
+ Z# A# K8 ], t" ?5 E x3 v4 ~& z/ _while[j < people]! V# r( Y: Z; p ?8 f+ B
[* f1 m; U o+ b' u3 X$ G
if (item j( [credibility] of turtle (i + 1)) != -1)
. S4 E# R; T7 X ?" \: };;判断是否给本turtle的评价质量做出过评价的节点3 l- A) o% ~9 t) v
[set note (note + item j ([credibility]of turtle (i + 1)))# ^/ t* U0 q6 B5 {6 c" A1 y. K/ C/ B
;;*(exp (-(people - 2)))/(people - 2))] ]* v9 ^0 @, @7 S( u2 g% y$ k/ J! W
set k (k + 1)
, d2 E& T$ R0 Y+ D& Q# K; q( p]; W8 _. p3 V6 Q( a& J
set j (j + 1)
+ H6 {7 H! e: V5 I1 ]* |' \]
+ F; D2 x: n. ]9 K. G; Tset note (note *(exp (- (1 / k)))/ k)
! y# Y! E, X. \ C- }set credibility-list (replace-item i credibility-list note) S+ |' D' A: R* ~0 n/ D
set i (i + 1)3 I5 D4 H5 [; K/ U1 ^& S% x
]/ P+ p" X8 m% a/ o! e0 X; p
end' l7 x5 s2 [+ R8 }) j
2 r* w- {6 _" Y! H! m" h
to update-global-reputation-list
$ b$ g1 ^2 p& i- t) L% N* Vlet j 0" O+ S2 ?2 O9 ?
while[j < people]; j8 z2 v) b! l- N
[
% ]4 X. d0 m( Ilet new 0/ E2 Z, Z0 P! A# n& C! l9 b
;;暂存新的一个全局声誉
; s* V) o% @9 t6 n {let i 0
, }5 T. e; ?. R% Llet sum-money 0
/ \: p. e9 `5 u4 C$ r2 }# g2 g- M5 Glet credibility-money 0
' c& [9 g3 e' k6 uwhile [i < people]# K: y5 |- K+ n6 S3 x& Z! D' N
[
8 Y8 a/ m- b: m" L4 ^) y% ?set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& P& [& c8 O$ F; Q' b" n! e1 O3 wset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))6 P( h; a+ Q. C- r% g- Y
set i (i + 1)7 q0 E# k" D% P- F- @: \3 L0 e4 o" x
]3 d- q) A; o9 f7 I( G% F& l* ~
let k 0
5 G- d N7 m5 blet new1 0$ g7 L2 \6 i; M7 \ k
while [k < people]' T$ Q1 E. w- V% A! l( _0 J
[
. z# U) ~# F5 Y, p4 F' B& @2 iset 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). J8 `! C8 x& N, Y9 L5 I0 g8 i
set k (k + 1)
% s1 Y' K& r$ D7 L) R]
! P3 B3 `% D9 |9 R! [# uset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
( Q3 z& f" } r' L! [set global-reputation-list (replace-item j global-reputation-list new)
6 U( Z& G0 | G5 z9 I8 zset j (j + 1)0 D: U/ X& H; Q+ @3 ^
]
7 j$ M) w1 H _5 r( Iend$ Q2 @, J# _1 a, |4 Q
4 o0 y, o" H! }3 O$ O# R" |7 z2 X0 j0 L: w& w% e
$ L6 o2 `% N4 a- r' \
to get-color: y' `. \! O' ]4 u4 X
# X" t# }! I- `4 g( z6 ~$ `
set color blue. b7 x$ }* }* k0 r5 C
end
4 P5 X, B3 W7 n5 H
7 ]9 N" W, c; y+ z0 L) t% N2 `to poll-class
' V' O5 Y) y& g8 g+ Cend" R* [; E* Y3 o& `/ p+ Q
: d& J V* I+ e+ x0 t) Eto setup-plot1
8 _( n0 Q- m& m( p/ b; q2 |$ Z' O- d% e7 X, |8 V# c" d
set-current-plot "Trends-of-Local-reputation"
: l/ |- [- r+ N/ _* V8 x& n" L# Z- y2 h7 s! [' _0 k
set-plot-x-range 0 xmax
, b' r7 r9 l! ^" O& S. F
^; W% U6 X& F7 jset-plot-y-range 0.0 ymax
( ?& Y$ V$ [# ]7 a( c: C. |4 A& Mend; t) J) G& I& b; c- B3 _5 K' t
7 l/ Z& S" _" A5 ^to setup-plot21 p4 ?% C) c# N) y# G3 Y
! T: [1 U- y& I U; {set-current-plot "Trends-of-global-reputation". {2 N$ `( H( y8 h& z" [
9 m7 E5 D, f) J& F0 e: i) Y
set-plot-x-range 0 xmax
" t/ k5 c$ G% I& m0 d6 i8 x; c' l' ]- j, `5 S6 x
set-plot-y-range 0.0 ymax
1 F5 Q! S5 o6 fend
) O( A' `* W5 m8 Y3 S" a3 O
' L! E3 X* a$ _& O( P- O: ?to setup-plot3
) W( E1 m% w% i7 s8 s+ E A3 T- G1 W. i0 `+ _
set-current-plot "Trends-of-credibility"6 Y/ M- ^1 T' z7 c+ B% g% R
2 j, K p" I; O, y
set-plot-x-range 0 xmax: ?- a$ o5 M+ k; ^! q- I2 |0 S
$ J8 d! i& P- Sset-plot-y-range 0.0 ymax* t" S8 g; i& K1 ~( E
end: Y% G" @0 D6 M- d( w: }" }
9 ]+ |% O" T' N& oto do-plots
5 F: k8 M( G2 t' e! L5 q* t) b4 Xset-current-plot "Trends-of-Local-reputation"
2 u) M* d6 L8 U& u8 |set-current-plot-pen "Honest service"
1 S: F9 j2 G& i2 I9 o; oend
$ z; W* i0 I" O
! h* m: B# W0 ~! f* E$ F[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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