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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 n/ @ h/ i- {0 Xglobals[
' W7 g* C7 x! d# Rxmax
0 E7 V2 r+ d- y, }% Oymax8 L& u# N# G) I! g+ r% v9 V; f4 Z) z
global-reputation-list9 T1 e* l$ Q: e# t( o) g" f. I! [
1 y( G( r: E# N" b: I. C;;每一个turtle的全局声誉都存在此LIST中
( m( d% j0 Z4 `' R7 ]0 b" Ucredibility-list
8 G/ P6 S- t5 q# f: @" t- B* }$ U;;每一个turtle的评价可信度
6 f, `; ]+ n1 P1 H' R2 khonest-service! N# ~6 ^3 y7 a8 g
unhonest-service" s$ r& ~/ l+ r
oscillation3 @+ {9 @# f& K: g+ \. |
rand-dynamic! N) T& L$ Q4 v( m7 A
]+ a0 z b) T. c2 m
* p) N: D1 g- g" n( G$ }turtles-own[
; s; d) z" y: x9 strade-record-all
5 C* l( P' {0 P3 t;;a list of lists,由trade-record-one组成% x3 N+ n. k# W8 t, A8 `4 S, O
trade-record-one
# ^, z" d% V& b;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
/ |- M5 Y- _! i8 X" `8 a, P0 `" H5 S. l$ Q
;;[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]]
+ `# M+ A$ M, P% b$ Btrade-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]
! V8 _5 Z+ Q6 S- bcredibility-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list9 |* b9 g7 l: x/ G) j8 z7 k7 {) J- V
neighbor-total" D. W# \( J8 R3 b+ K% c! N
;;记录该turtle的邻居节点的数目
( x- {5 g% C- u- \# vtrade-time
6 _2 U, `+ q) c6 i;;当前发生交易的turtle的交易时间8 P0 O$ j3 f$ l
appraise-give
1 ]- n( O) { |8 I& I! i: i;;当前发生交易时给出的评价4 D9 S8 B" J7 r* \
appraise-receive1 q" F& Z! z, _6 I) \8 e
;;当前发生交易时收到的评价
, @4 ]( ^. y$ J- xappraise-time2 P& Z5 I( t9 d
;;当前发生交易时的评价时间
" P1 Q+ J+ i* j0 C2 Mlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
1 o' u% Z" f$ \trade-times-total- y: `; D8 Y& |! @/ p1 z" e
;;与当前turtle的交易总次数. X y/ k z' K- {8 g1 R
trade-money-total% W# [1 \$ Z, ^* F7 t$ i
;;与当前turtle的交易总金额
) H- N7 |: O6 p' Q+ clocal-reputation
8 U7 _+ D; c0 |% K7 T2 xglobal-reputation( {- A) t1 i \/ V
credibility" ]. s: v5 {) h6 r* ~
;;评价可信度,每次交易后都需要更新
* F5 Y6 a+ X& Y4 }1 fcredibility-all$ L, F* M+ e8 m1 B1 A8 j
;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
4 t9 O" t: i8 o& w5 o3 S' m" Q0 {& Q* I3 g% F1 ~
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5
& x d' F4 ~8 f0 B' b7 ?: J+ Rcredibility-one$ L% x& w+ B" F1 E. x
;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项" H9 p& r5 s, ^$ n. s0 V2 `, Z. D! }
global-proportion
6 ` {* n' S3 a5 N; n" P5 Lcustomer7 n8 s& x& g% N# F1 ?/ K
customer-no
, s. W2 R l) m ?5 Ftrust-ok
6 U! o) Y) ?% A5 Z- itrade-record-one-len;;trade-record-one的长度' _ m3 \5 R5 D" ~" \" `$ ?! k3 U
]
5 o ^: y. h8 m9 }, ]& e
, P4 A0 K( W: \7 L5 L;;setup procedure# r7 `5 b- q1 C. A! ], X
# B2 i$ U1 \) _* P
to setup
; y K$ d* w6 F3 A, n- p# V, g, _) y
ca
; |# B/ s) `6 ~. D+ c+ B: _& t. j' i5 P, S* |1 K+ _
initialize-settings& p4 t" J5 }' z" L
! F: q2 z' l/ P7 B
crt people [setup-turtles]
/ f6 ? w; W" W! [( c1 R' G2 v7 Q" \2 c1 U+ D
reset-timer
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' ^& l1 F- C! D3 r3 `poll-class
) S6 C8 d4 |; V0 R, ~+ F* M! w0 y* v, E5 o/ r- d2 z
setup-plots+ h- e4 @6 [- y7 B3 M% R' O+ Z
9 ~: C3 O% U$ t8 S- I: rdo-plots
+ b: x1 v& V3 \# Jend
9 C2 d* D; q/ h1 {6 y; x% R$ g ^; b$ T4 e$ W* x. N% Z
to initialize-settings6 M* |2 k" k+ ^3 P0 `6 P1 y C4 E
# _ l' h0 v2 }set global-reputation-list []1 R s0 s/ @2 H$ v# n8 q7 R
: A$ u, R W L$ h! r% t% U
set credibility-list n-values people [0.5]
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6 t; K% J3 T4 S( O% \set honest-service 0
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; }, ?% V+ n/ k1 {) o g! F% fset unhonest-service 0
+ j" G9 C& p( B/ J+ H d( {
) |9 `( H6 v) \# d4 i" N% Jset oscillation 07 U5 G5 J2 E; k
B/ Z4 L, a6 e. iset rand-dynamic 0- t+ W% s) t8 z" i" S
end
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to setup-turtles $ F" ]: A; _, Y
set shape "person"7 m% q* e1 T7 v, c
setxy random-xcor random-ycor
, }1 I; p+ a% M5 K4 Sset trade-record-one []
+ K/ R6 M; [' a6 `5 \ T7 L8 V! J0 b9 p! C5 g* |! r: F
set trade-record-all n-values people [(list (? + 1) 0 0)] , Q9 b9 A n% L! L$ V" \" b
! d6 [, R# X% J* v: C3 @3 g8 m9 p4 Lset trade-record-current []
& h% |! Z9 `8 L( }set credibility-receive []' M2 u/ Y1 M9 T! ]( G1 S
set local-reputation 0.5
8 E ^7 Y& e7 \' a/ Bset neighbor-total 0" l0 M; h# n7 H* }) t) `# M2 b
set trade-times-total 0
1 t( G4 m6 j9 S$ g/ ?* Pset trade-money-total 0
! H1 c( O$ f7 R i2 j6 `set customer nobody+ i: F5 T- O2 P$ ~
set credibility-all n-values people [creat-credibility]9 \0 E0 Y$ k9 k. g8 M
set credibility n-values people [-1]: q# N+ I' v$ K* V- f0 \
get-color9 }/ P1 o% V P9 c/ M7 |
. j" }5 } {0 c# S( I
end
$ S# O; l" \8 @5 Z* O5 y3 c
* X$ k# x+ z, O, @3 kto-report creat-credibility- q* Q4 R* K' h- S
report n-values people [0.5]
& Q* n( A* g2 U6 Send
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: }/ O) m- Y5 l, ~8 rto setup-plots
# I9 x) K& H4 s! c& R6 P
$ J. [: d q# k1 M- tset xmax 30- l4 i3 M5 y/ _# H
! o+ x9 B O4 Y$ }+ E- W+ b& K0 k# ~set ymax 1.0" R& x# B' E2 i: z3 `
7 J7 a- l9 Z& H! d
clear-all-plots) w/ V- S/ q" o* Q4 J `1 a
6 d3 @: ^ Z0 T4 J; \# t. D) u
setup-plot16 Y/ D$ l& K+ {( s: B4 t
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setup-plot29 y/ X0 U8 ]- j2 i0 O" n
0 i9 M! X9 a) b$ D7 z- j6 Q7 g
setup-plot3
( j/ J% p) v3 m* a# m- n& n7 ]end& A# a7 U. t* B3 ]/ k- E
! z4 w3 u9 J( n" U0 T& I;;run time procedures3 M) |- y. @* Y2 c0 n
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to go* R! Y6 ?. q8 B# G: F2 _1 w6 k
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ask turtles [do-business]/ O% A7 ^6 v8 b
end
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' z5 D& c6 A2 d% l+ q4 l( J% wto do-business 4 k7 x, n. V) x! m$ J* L
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rt random 3609 w& o" ]5 G) N$ ^& q
2 I- Y$ U% c$ q2 y- ^
fd 1* I% _* e& u" I+ E& q+ x# K3 x
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ifelse(other turtles-here != nobody)[5 s# @% U) e" ~8 _! G3 b
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set customer one-of other turtles-here
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+ H2 w& a8 o0 y, U" A) m, P; j;; set [customer] of customer myself1 T. g" E" b1 A; N7 o3 @& d
8 I, ~/ ]8 p; v) g. b4 zset [trade-record-one] of self item (([who] of customer) - 1)0 ?% `, T4 A l( H4 `) Y B
[trade-record-all]of self% c& W$ N) E/ _& I' A
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self2 p2 q' J3 M8 U; k
- [/ H/ q9 j: w% }8 ?
set [trade-record-one] of customer item (([who] of self) - 1)* y6 r0 h4 L/ ^2 S, D4 [
[trade-record-all]of customer
8 n5 C8 g/ C% w1 `: |6 ?/ _: W# {
set [trade-record-one-len] of self length [trade-record-one] of self
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- b& G$ c6 L4 e' G+ m* J# G9 Bset trade-record-current( list (timer) (random money-upper-limit))+ s% G) O) K$ }2 y& V# v* H$ W
3 ^, C3 Y* J+ {ask self [do-trust]
8 ]! H$ w7 u0 w0 y( a& \4 z;;先求i对j的信任度) Q8 o8 ^& r( q0 Y3 x3 H
3 R1 [" w3 _5 K* r; w" Iif ([trust-ok] of self)
& @0 O" ]5 u3 h4 U" w' Z* e;;根据i对j的信任度来决定是否与j进行交易[
( c1 W+ K2 v9 }3 M3 S$ c* z! Q. Rask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
: i+ M6 M) ~4 O3 D1 }& m1 G; N+ O- m3 B6 Q/ {# p+ [
[0 n1 V5 M9 i/ z! ~
1 e2 [* l$ l2 M, K
do-trade/ L8 z) N0 q5 w5 Y G: V
0 Q3 T- e. ]% G, y$ u
update-credibility-ijl9 Z7 j) m* C6 _) y# T7 E4 P
. c3 N7 k" z& l. Vupdate-credibility-list& t! ?1 g; K% d# E
/ \; A4 H3 Y* v$ M% m, v( `" j! w
9 m+ }( t! y4 U9 j7 `8 L/ o
update-global-reputation-list9 I7 R$ |' { y8 m& n! v( o; c
) a9 B& _9 |$ E1 ?, ^* j3 \
poll-class
2 r* g" c9 R, n5 l2 }) d" Z, f% l1 O" Z& R5 U
get-color
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]] V/ V6 {6 g( s0 H
$ }6 R& b- Q* ~" }
;;如果所得的信任度满足条件,则进行交易
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- G# Y3 E' `6 k' n+ j& W9 _[
& J) e% d0 K1 q" s. H, m3 l" c
( ^$ r* w; b$ D- R' ?& A; srt random 360
# J, \: K, p/ C2 o" e0 I1 [" M
9 _5 v8 k% ]. K* Tfd 16 R, i; T. p% ~6 H4 I2 P" r
3 y5 r& {* a1 U- W" z% _( P
]
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# B& T) U ?) s" z0 t6 Tend
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to do-trust & g% n+ `: ]% h9 ^4 ~; E, ]
set trust-ok False
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+ b. \* {( i) K& Ilet max-trade-times 0
, k( {: Y- q) x4 ^- L8 ?: bforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]. l- I1 J' I8 K) i& b! M4 Q
let max-trade-money 0; x9 K5 Q# h: k* }1 K& z( g( S
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]# E' V* l3 f! d1 q
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
' R( Z$ N2 T" d' H
- B0 H0 c+ K" Q
$ w+ V! M ?" t. ~get-global-proportion
4 A! j2 k3 f. Y! u% w+ Xlet trust-value
8 {" b0 T) z. `9 W' r% _. 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)6 R2 @0 u( n# d
if(trust-value > trade-trust-value)$ o) o5 q/ h! Z
[set trust-ok true]: C" C( {& I5 Y' w4 ] ?; M/ T
end
* a7 o- N6 x% D. \; S" a6 y/ k4 ~3 J% m: Z8 O) z4 {
to get-global-proportion
0 |9 |* }2 B" n4 ?; ^' z' M- x1 e3 tifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
. \/ G6 M/ ]9 W& z[set global-proportion 0]
0 x4 }& r* J' z- A[let i 0
6 f" e3 X6 q' a5 i2 b$ k' vlet sum-money 0) }$ ~* j! ~; E
while[ i < people]
: r# p" @5 k$ D" Y4 }* o. _# b) a2 T[
' f3 `7 i! C% [. pif( length (item i4 q5 h- Q# a- y
[trade-record-all] of customer) > 3 )8 H8 a# j! I; f9 | E' w
[
) v5 M. W9 A5 \8 D' {0 A& Tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
6 `! h$ L& D' G]
, _. U6 t" X, F" P' P2 t]
6 Q- L" Y* W+ B flet j 0$ a- L7 e, M9 y# S
let note 0: L; R B8 j4 ~6 y
while[ j < people]8 m/ E/ K A; _) A' [) Y4 Q1 ~
[1 d. W. x9 e, k( N/ Y
if( length (item i
; ~* T0 b: A1 D- q. x[trade-record-all] of customer) > 3 )
% ~4 V: L8 G) f5 u4 g( n7 C[
! j9 `/ \9 J7 }3 z# Z0 q# I" Aifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
* U% ^! C) }* z/ ?! y- k. t3 `[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: y, [* k* I, D3 W4 f[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]* q0 M' D6 B( Y% M
]# P8 R8 J( R3 s, }" d" E
] \ y+ ~2 A4 v2 |) }" P0 ]
set global-proportion note
5 M. F& o: I& F: Y( v]
, v) ^) F4 f8 J- cend% c" n9 f* Y& F. o
: f* f k& h4 W. X, T& v- D0 \+ x( Xto do-trade
* {$ m' \9 b; o1 ~9 j;;这个过程实际上是给双方作出评价的过程* s4 g1 n5 l! a/ f# q& h, L
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价& L0 f% D {$ ~4 a& k; ^
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
9 n5 E* V; i. L: h" M4 L8 Jset trade-record-current lput(timer) trade-record-current
; G% F& j) n7 w6 h% G4 \;;评价时间: U; s1 t6 v2 U9 n, r1 g( C' |5 \
ask myself [( m) o+ `$ U& U8 s* W* W: y$ W
update-local-reputation
7 O) l4 E# a8 e$ @7 rset trade-record-current lput([local-reputation] of myself) trade-record-current
% T& B4 E/ e3 Y]5 ]3 o* u& r3 l" ^+ A
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself9 ?1 x2 X! U1 K( @% ?5 _
;;将此次交易的记录加入到trade-record-one中
' l0 f" ]6 d `- J3 O# lset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)2 `: Z0 I( B5 i/ W9 F
let note (item 2 trade-record-current )
4 F9 t$ i, y4 ~- E( mset trade-record-current
( O$ e# m+ \# j5 a7 v/ f' u(replace-item 2 trade-record-current (item 3 trade-record-current))
, Q1 W; h! v- ~9 }8 n3 tset trade-record-current
0 z+ \/ a% Z; s" z# F3 |7 _0 m(replace-item 3 trade-record-current note)
: n' H. @% T; ~3 o9 h& H# i! m+ V$ w6 M, X1 v+ @0 t7 m2 F
7 X- S4 E2 n S" V- a' C
ask customer [
' T( I& o5 x2 d" Supdate-local-reputation
6 \' X: W& _. Z4 S6 J" T- tset trade-record-current
& V k& V$ g( d* x2 t9 `( R5 M. v(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
0 v$ q' t* @+ h; `]
# [$ U, q9 V: i* r v, X8 k9 _) j; J/ A, ?8 L, {% i
, m/ k+ Q3 E% i* ?; y$ l
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
) j7 }* h( c I& P) K/ `6 l3 q4 h9 X+ s {% d( h( o. E( M
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
2 J4 E; N( O; e6 B, f% m" E5 k;;将此次交易的记录加入到customer的trade-record-all中
9 Y" |% a0 a' _, |end
3 E" C4 ] E* }8 x) _& |) L4 E. W9 d' h
to update-local-reputation
2 H: u! F5 Y% z4 eset [trade-record-one-len] of myself length [trade-record-one] of myself
4 a' i k! \& n, W9 r* N9 V
' y% u+ S7 t Y8 a4 V% v- d
0 Z' L& r) G: q k;;if [trade-record-one-len] of myself > 3
; z' N0 @; V9 w6 h) ~: ^+ g5 u. Cupdate-neighbor-total1 O& j. ?/ |! v: `! U [' A& [
;;更新邻居节点的数目,在此进行* i/ l* Q' S! C p! E) T1 k6 Z
let i 38 G3 ]' N1 y0 ]! t5 D% h# S
let sum-time 0
4 K. e" Y) Y" W6 n9 K$ Ywhile[i < [trade-record-one-len] of myself]) l2 D+ k4 d- W0 N) {; C0 E9 Y
[* A/ A9 I: H. H! g: i5 b
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 F" A O; N. I* |3 J
set i/ u2 q# L8 M- Q @* |3 ]/ D
( i + 1)
3 v K% o2 _1 Z/ I' x' D]
& }& G) \* D# x4 m7 b" j- i7 _let j 3
6 ` x# p7 Z: U4 O$ u) U% e9 B* I1 a* Rlet sum-money 0/ g( p! n4 n5 H; q% J% E7 {) `' Z
while[j < [trade-record-one-len] of myself]
/ S6 t% `6 U6 Z" X. u$ |[% {4 H8 h1 G! c) \
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)
& N6 s' `$ Y2 eset j! Z( v1 k1 e" M- y
( j + 1)9 i( k2 ]3 Z1 Y2 U7 g6 c
]! E& {# j$ K/ [2 H! }
let k 3) H6 r- F$ m3 ]" [5 x" ~
let power 0
5 `6 R5 I3 U* x+ P. flet local 08 w( _$ a2 A- y# n3 x5 s, q) @
while [k <[trade-record-one-len] of myself] |/ O& s8 ~1 F6 s/ t
[% K& x1 Y `( V& c" A% `( g/ {2 ^! W
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)
( ]4 [2 C- O7 C! b# \8 V$ nset k (k + 1)
5 f C2 s$ h( U]! i- V- k( W) `9 y1 @) X0 J! y
set [local-reputation] of myself (local)& D; b/ @" o5 Z; o
end- ?8 g8 M8 f+ E" g; {# y
3 U" w/ m# ~! O( I. { [3 uto update-neighbor-total
) p' w9 H3 O! y. D1 Y: R! o# [" `2 M) q ~# ^
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
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H& {( s0 U2 h7 ~& ^, a3 f2 o0 K' k% g: c9 n" n& _" o& S& A
end
4 m+ t( W' P8 O
2 |' j6 ^! {9 [7 `$ |+ ^5 cto update-credibility-ijl
: j! v. J; b9 {, l1 ^6 I
) n/ \; H; `/ W D4 m; a;;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。
3 I. y6 a; ~5 ~# k- d @let l 0# L9 Y7 i/ K4 B# u
while[ l < people ]
6 Y; b: N0 p8 C( ~;;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
' i. k! H+ F8 [ ~[# i& h( m3 B0 u1 ^, W% B: B
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)1 K! J: i4 f. M; R, L: ]# v
if (trade-record-one-j-l-len > 3)- t+ ]8 F2 }: M& T
[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
3 o8 R5 g9 Q. b7 I4 Wlet i 3
7 X0 J! D1 ~9 H/ f3 ~let sum-time 0
" i" X: ?% ^. z8 z% {while[i < trade-record-one-len]
* h; x& c% B E) i0 s6 b r# a[' w' g# r) w9 v+ ]& y$ _" [3 [/ l
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )( g# }) I& G% b5 F& Y& y
set i9 W8 y1 Y7 m/ i& }6 C0 q3 ?
( i + 1)
& L& _$ y9 N3 k! d]# S- Q: V5 N; e( G$ Y; D) O
let credibility-i-j-l 0! B: L) u( d- G c( t/ q
;;i评价(j对jl的评价)& R$ F2 Q; B+ y0 ]4 B
let j 34 u }0 a! Z/ w+ X
let k 4
8 g& s/ i8 r: r. H2 Jwhile[j < trade-record-one-len]
" u$ b+ a+ s9 {/ J4 ]# J[
! b1 x" ^ x$ D6 v% Uwhile [((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$ R: Y) D3 \7 a* n; h
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)
4 m" H x$ _1 i3 Q0 hset j
# @* s" O3 U; u2 F9 b6 O( j + 1)* `' z' I* t5 Y0 v! M0 V0 n3 L
]
7 _: x- j) 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 ))" K2 l) ~! `; R) _
1 n1 a4 q$ B$ {# E7 j' n
d0 C$ v3 z8 P$ K
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))+ k s" G) [' M0 j. A( N3 e
;;及时更新i对l的评价质量的评价
; ?% v" q; ?" T$ J# b+ K; a: a; ]set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ] A2 B4 w4 t% f. E
set l (l + 1)
& ~! x, ^! |6 {0 C: N]
( k1 i! b# \$ |5 j! Lend
7 N3 \ G1 d7 _: h( _+ L3 c/ z) g. _) a, H: ^' f& K6 P. L
to update-credibility-list
/ ]4 ~6 H. z& I2 plet i 0
3 l; f- W+ _9 Y; Qwhile[i < people]1 I% `) o7 w& C7 s4 ]
[ P& c0 O" ^9 s1 O( y7 m) w
let j 09 X& |! P* e* ?8 I. W) f: T! n
let note 0" x# b9 {, s$ E- \8 Z ?( N& J- ~
let k 0
% o# s2 g/ a+ V+ J/ y q8 b;;计作出过评价的邻居节点的数目
* f& z3 ?& W+ Nwhile[j < people]
t# D% A' A& U' z; \7 {# p[
0 D; w3 g1 j5 J, f7 q' Pif (item j( [credibility] of turtle (i + 1)) != -1)- ]+ X* S" N( J
;;判断是否给本turtle的评价质量做出过评价的节点
! R1 ~, p5 H+ r) d[set note (note + item j ([credibility]of turtle (i + 1))) s3 K l; A0 l: m8 N% e$ [* S. v
;;*(exp (-(people - 2)))/(people - 2))]
+ o* c9 [% Q7 r9 S% c1 G) yset k (k + 1)
# ?# x% e$ \! U! |/ _]
" {4 m5 a9 n9 B& Hset j (j + 1)( `0 J! j1 a4 e$ I$ K; @, n
]# r/ C; U* \; ~( A% E- n! [
set note (note *(exp (- (1 / k)))/ k)
* x$ `# f1 F/ X( q' M, pset credibility-list (replace-item i credibility-list note)
2 z& ]* v8 e; v) s R- Wset i (i + 1)
$ K) _" e& ^ \9 w! k: Y! {" `]2 a8 l" L& m. f8 ~
end
7 K0 `7 _: |8 K- y& v8 B% {5 {6 _! o9 q; j3 ?2 ~
to update-global-reputation-list
) H% ^2 n5 R/ g- n( Glet j 0& d2 w- S- j1 P) k8 J9 e% L
while[j < people]
) u: ^7 l5 Y7 [4 T[
% u, ?1 V1 K6 M( N7 R5 C' alet new 0
1 z6 {) B" m D$ h% z2 f4 v0 P; S;;暂存新的一个全局声誉
}" H: D' [$ D. Llet i 0
1 L/ {- W0 Q; X; y \/ N! ?$ w& ~let sum-money 0! f0 |# j) f; r% Q! x$ D
let credibility-money 0
/ x V, F- a2 O4 ~ hwhile [i < people]0 I, W# I/ ~8 C- S
[2 n+ s( A0 z1 P# o
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))0 H* C; D% |! {8 C
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
5 [1 _2 k* @" Z, z+ W0 Nset i (i + 1)
q6 k& O& T. ~4 U4 {! ]4 a+ I: m]
5 y& |2 [3 Y4 }1 j [9 m! ilet k 0$ _% ]3 _! U- S
let new1 0* T' W3 q& P# K& L
while [k < people]( X2 u {& m6 f1 h
[) [) e6 i3 i, a( N1 o6 x4 ^' U
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); y. d! P" {2 D- W/ t% [& K* r
set k (k + 1)( S$ b0 k, I. m: e8 v
]" ? O: M$ |; [0 ?/ T
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
, O7 y6 d5 @* C5 xset global-reputation-list (replace-item j global-reputation-list new)
0 ]3 f( i% W* v; _+ gset j (j + 1)1 q/ k' U* c6 c
]3 Y, b9 `+ e& N3 V( |1 P( `
end* q. M. `- b' L+ S5 L! ~
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' B& |7 `" A. n4 f( }) U
1 }) K$ E( N7 | W2 l8 L) Kto get-color" @* B1 p; R- b8 v$ [
% j4 @: S+ n5 }; J* Sset color blue; l3 ? ]' z4 Y$ F3 _
end; J3 e: _3 x* H, r* a
# q& p! ~$ H2 B
to poll-class
" T; ~! l8 o4 Kend; h$ P0 x7 W0 S! Z2 J- [6 J5 J# U
9 e6 @# D; X$ x7 K/ m7 E) a
to setup-plot19 }4 R$ x4 |) E6 ]: s5 e% E
0 B: m9 J2 n# z' xset-current-plot "Trends-of-Local-reputation"
4 v8 ^8 `1 u# O' P1 _$ S& W; G: @
0 j7 I+ ^5 L- \- lset-plot-x-range 0 xmax
. O# c- I/ p- I+ ]4 \$ y
8 p$ Y+ k! g2 e$ Cset-plot-y-range 0.0 ymax* t$ r4 ?9 l( m* r# D8 e
end
% S) m( d4 D/ x) g& ]% J5 ~5 f; ]! u# Q1 {7 o
to setup-plot25 Y1 r( a" R& S4 ] v% r& b1 v9 F& {
. J, D1 a5 v2 Q& Q" |' N, E" ~1 S
set-current-plot "Trends-of-global-reputation"
' y1 @$ |; v& P8 j0 V) Q
0 `3 F* ?1 o# h2 j6 s# iset-plot-x-range 0 xmax
* R7 X: {& d" I [) Q; [' ~8 D# J6 |' s- p( G$ h. _( G @8 v+ T
set-plot-y-range 0.0 ymax2 K' C0 p" x# [4 k
end
8 W9 i0 E, B2 A% s# ?
6 q w% C! p* Y- |0 `. {to setup-plot3/ z/ L/ }% e- @" C, W" n
# M. g9 ^3 S( L0 {7 o5 B( Oset-current-plot "Trends-of-credibility"
3 Z& C1 a! {1 ]' m7 }5 \6 Y1 O9 T/ D9 X5 `& E
set-plot-x-range 0 xmax
6 G3 s3 ~, ^/ f7 y
; ?% H, W* m4 H* Z( iset-plot-y-range 0.0 ymax
. @/ {% ^4 [6 t; [$ p9 \* rend9 a, R4 }% ^# A7 W% _+ d
: Z/ i2 `' { O" t0 G- U6 @+ k. V
to do-plots
8 T8 L7 o& g& \) D/ _0 `2 F( Y' G; iset-current-plot "Trends-of-Local-reputation"3 b% R* z5 H5 M" I. q
set-current-plot-pen "Honest service"
! j5 M5 R( w7 k3 h8 D% bend
5 G0 z8 Y) R. n$ L. h& X. v3 |
9 H6 N. |- }6 W- K[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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