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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
, X7 e9 ?* |' k3 c% e+ E* h* Nglobals[3 Z& W5 V# O7 n
xmax
- S8 c" i, R. {ymax
. I: W, N! s7 a& q5 z- f% l2 @global-reputation-list
' z; x6 J r/ N4 P/ E" l+ e
+ f: Q4 a% N9 U/ S) h/ N1 I;;每一个turtle的全局声誉都存在此LIST中7 a. Z* `# G. j! ~9 u+ u
credibility-list
# \3 S1 Z ~1 U; g& \;;每一个turtle的评价可信度: ^% ?; P& ? M
honest-service. L+ d& w. b; w. I
unhonest-service- y) m! [! R( ~3 ~5 {" T7 R
oscillation; H. c3 { E7 p
rand-dynamic
1 D! [2 c4 A% a, H% {* a7 U, d: v]6 W& ]6 R2 @( {4 A
: n" z* v2 ]. M- z7 F! R7 |
turtles-own[
" M& P) H- C I( s% \trade-record-all
- L" V3 Y/ _* x$ k;;a list of lists,由trade-record-one组成
/ p" \ C3 z; w8 G& itrade-record-one
U. J' J+ I* ? o4 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$ v" m4 W- y4 I( o7 g- B9 Z0 ^
8 ]- a8 e& G5 a1 m, 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]]
3 F* G% o% O0 _' ntrade-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]
1 w) ~) O# {* u7 A# Z* u$ f& ccredibility-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
6 j- z( G$ r3 a5 ^3 kneighbor-total
* J7 C- D) Z ]% J0 e% X3 ~% i;;记录该turtle的邻居节点的数目
" S0 p! F E$ Z- ]trade-time
2 G4 O) Q4 e* f( }& T& v q;;当前发生交易的turtle的交易时间
- x$ H. ~9 i9 Z9 G6 Mappraise-give/ s, B" G2 ?. T: a2 @; ^6 r
;;当前发生交易时给出的评价
6 P2 m% w7 w5 j9 t6 Qappraise-receive
# c& F* m2 c4 s- O# g; D;;当前发生交易时收到的评价
/ ?3 H- q6 I8 c/ gappraise-time1 N- Q; z& r3 c8 N! q
;;当前发生交易时的评价时间4 Z5 G" v% N. {- W0 x9 U
local-reputation-now;;此次交易后相对于对方turtle的局部声誉# h+ h' N9 A, _0 H: c! l
trade-times-total
4 {- E* M9 ^0 U# h ]$ F2 S;;与当前turtle的交易总次数
- F, Q( E8 K$ Jtrade-money-total
8 X. r/ o6 b o6 d9 C, [- F2 ?$ H5 B;;与当前turtle的交易总金额9 f8 n# P, H" J. F/ b& d6 M1 w
local-reputation+ Q1 n0 @3 z3 w0 ~* R
global-reputation
( R+ I8 c/ @+ F {& L2 ]credibility
! a) F/ C) N8 r) S/ F6 Y;;评价可信度,每次交易后都需要更新
* j* _- Z( m$ h" E; Ycredibility-all; |" \8 ~& _8 V y( y2 U
;;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& v. F0 w, ]- M A" d; I0 N* h
4 q9 K) \2 B) Y+ X; ]* e
;;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
! v5 Q) E) N2 u+ Y# {) O, [credibility-one
/ l" \; j a4 K3 Q;;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
# y! @& m1 r5 A5 V: ~6 H" Xglobal-proportion5 @* \1 D0 a0 Y, N
customer, P8 Y3 S; x. y# S9 j0 Z
customer-no. Y( y: I! ^+ ~- k5 _; F
trust-ok2 Q! u% y' k& T. |$ m) U8 ?0 I
trade-record-one-len;;trade-record-one的长度
& h" O: D( a3 a0 ]9 C! P]
3 S6 e$ d' e( g6 e- {" b! l6 i& Z' b! [1 A8 C( w) W- ?
;;setup procedure
1 ^, L) Y1 j5 {; b- |! G: }# R/ D1 B: `. P0 s' G' T9 q5 p
to setup
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ca
4 U* e' r6 V- J, q3 q& I! Z* \7 d0 M
initialize-settings
3 }' D% B) d; s: _( E* x: s9 X* B9 F3 G* ~8 m$ t9 T4 M& z; u' F* {6 s
crt people [setup-turtles]6 e' L+ _4 D- V# N) G! I' T r
I4 r8 D' T- y1 l
reset-timer
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poll-class+ n9 D' {% k/ M2 ?- d
) w3 Q' S8 g6 Z& z
setup-plots
0 k* T& [0 } t9 ~- y2 @( q; V6 B2 C4 S* P9 c+ \( e! A+ E
do-plots4 w: D C9 @" @
end
+ {1 t ~; A* H1 F$ f5 H8 a
3 I* A! S$ t1 i. P, O7 Jto initialize-settings
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set global-reputation-list [] X; {' N |. I. D- n
$ U: h! h! m% \: d
set credibility-list n-values people [0.5]4 a; k8 K: n7 U% C1 W/ E
% {5 d3 g' |5 Q# a4 [set honest-service 0* Z3 \/ x; {5 m
) i" j* c( i1 A/ y% P+ T
set unhonest-service 0
: e- }4 T! }% k/ D. h% a M5 G d" n& m" v' a* d) i, `8 L" M
set oscillation 0# @( l0 h1 u0 G& C; i
; z9 S4 k: e0 I3 g
set rand-dynamic 02 p4 v3 M" m% Q+ J2 W
end
9 f' j* ? A( Z2 L( U. m: M& |3 w4 {: i- Y7 r( c; x2 s" [7 I" g
to setup-turtles 6 O' Q7 V6 T0 X* G* z3 V
set shape "person"( p2 S" u) L$ o
setxy random-xcor random-ycor
7 S* |3 d6 Z+ n- u+ V: P5 zset trade-record-one []
e! x8 H$ c* H# A# B/ d
* z7 |0 i; c+ z) T1 J, L; v6 Wset trade-record-all n-values people [(list (? + 1) 0 0)]
! }; a) U/ o, ~+ Q) ]5 P
* t4 Q% x9 z9 |' J/ ^' u5 h& f4 |set trade-record-current []
' K6 K) m y$ `! p* c. bset credibility-receive []
) Y/ w6 k7 C, {5 Wset local-reputation 0.5
4 b- r" ?4 ]% G" ?! }7 \set neighbor-total 0
2 M; p6 E. w& v; Y& o; vset trade-times-total 0
. ?5 g! u5 T9 |' W# y' xset trade-money-total 0
' ~5 L0 P' F1 Gset customer nobody
+ r/ I4 X8 m: a& Xset credibility-all n-values people [creat-credibility]
4 @% e3 \+ s: p# _1 _* x9 uset credibility n-values people [-1]" J+ ^6 P% C& @7 t) |) }
get-color
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2 t* s# A2 q# \ c3 g* |end% [! G7 ^" k+ o
4 R8 R3 C7 s: U, W, f, dto-report creat-credibility9 v0 @6 o- a u8 s
report n-values people [0.5]
1 H6 u( f O/ p7 g. q* H9 pend% P. P- [3 f% Q; I; F3 v6 N, P
' O2 g; J, {2 a( N; i
to setup-plots, U0 ]# }; G! k# @
- H; v/ f2 u. `1 f6 f- b' jset xmax 30) r6 z0 u& N/ ~7 ?' ?
; T) w; Y* N6 M0 g; w1 _3 f
set ymax 1.0
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clear-all-plots- u) l3 S) x# c8 ]
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setup-plot1% q, m: ~+ C. Q) R
% M1 b2 O# _8 D/ Ssetup-plot2( [& w' r1 W: |9 l; }( u( ^
4 r: ?, ]1 g0 T- M9 `setup-plot32 D3 x, H8 }+ h& W* { r
end
* T5 K- @% U# }' @, Y
4 G7 x) ^: w& v' y: h* Z3 E;;run time procedures" ~5 U% j9 n; T7 l( V7 j
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to go6 G c& O% _+ v7 V4 Y% Y7 O, u# t: u
7 p) k$ K( w1 F3 x9 s. task turtles [do-business]
) D \/ }$ O" L! v$ qend
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to do-business ! U/ V) X' P2 k1 ~ A
]4 I8 P- h/ R
( z6 [' ?6 K: Wrt random 360+ m9 f9 q5 F% {) y% o( {
9 E- z% s3 o- l4 u! Dfd 15 Q$ d2 E* I' |7 t4 O7 c
" k1 N, N1 c( Q7 X) f, Lifelse(other turtles-here != nobody)[- k: ]& ]* o, N! d' b' i" G' ~! H
7 I. `7 w. h7 G; s5 E' yset customer one-of other turtles-here
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;; set [customer] of customer myself$ p$ l0 K! \& N0 D; k
% {4 E2 i1 Z# B. [set [trade-record-one] of self item (([who] of customer) - 1)- B9 M# u( q$ s6 q/ E# \0 n
[trade-record-all]of self$ }/ U: \7 s4 L3 {
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
2 I+ _4 }: g, ?( V
4 e, a' I+ D5 L3 h) Dset [trade-record-one] of customer item (([who] of self) - 1)
$ D! v: R( E6 K! W; o( J$ c[trade-record-all]of customer
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set [trade-record-one-len] of self length [trade-record-one] of self
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set trade-record-current( list (timer) (random money-upper-limit))! w4 n( l6 P; s$ Q" U; x# ]
# b7 E* Q% ?/ | ]% T' f2 @4 ^ask self [do-trust]
; n; y7 q4 H5 Y3 [+ r;;先求i对j的信任度
& a! f( A" l& B3 H" m' i
9 V# l! Q' f1 M! iif ([trust-ok] of self)
* H$ Y4 K8 k/ ~6 H5 n6 `, P" A7 a; h;;根据i对j的信任度来决定是否与j进行交易[( D" c( R0 k+ |1 _+ W. v) K; l- M/ |
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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7 T7 @& ]. @, [. l[
" R9 C/ ?- M s# J
, f/ M% U% P. C# Q0 Bdo-trade
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update-credibility-ijl
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- f- @. ~) `# y1 L2 Q! j/ P1 dupdate-credibility-list8 q* X F% F, i9 {0 _7 |
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0 N% B/ L% m; Z4 Xupdate-global-reputation-list
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1 j0 e1 F9 A2 C* h4 L! ]4 U0 e3 lpoll-class
; j- e6 g& m1 J5 l/ V, e& {8 Z' X* y+ z3 |. P0 [2 A/ [! |
get-color
* \: U% A. z( j- o0 u/ [: c5 w X( e# q/ S' u# {5 W
]]
3 s" _$ f" q- X; i/ F5 F5 j9 A9 _, c
+ R' g. O2 q2 Z;;如果所得的信任度满足条件,则进行交易8 J# s9 E9 C0 w& v) H
7 d2 Y9 y) k9 q+ T* t* I[# g; ^5 V; X" o+ s* B
' P) l6 F) g8 t I9 l; ?
rt random 360; _# `( a! F, y) G% ^* R/ D) @. P! [
* r9 u9 |: E- s! ^9 j8 s+ ]1 W
fd 1# a% k5 z% z: g! `+ t; H
2 Y. p, G% H7 ~]
4 d/ x- ^3 ^" V8 ^8 ^4 C! k& t$ c" r, ^- U$ o
end5 D; h& l4 R0 t
4 m0 o0 V0 K$ I; F' C) _" Cto do-trust 9 A3 T! C' }& t7 B9 ~! A; u
set trust-ok False' e3 {8 i$ L8 u. ~
8 H& U S( n$ T; W: C) k
6 Y8 U% c+ }& l' f* h6 v2 V' slet max-trade-times 0
' X% s1 h9 z. U8 E. Yforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: r! h4 a! K# M* Z% g$ Qlet max-trade-money 0
7 k9 S- Z& L% Fforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
( N# a7 X) Y2 s6 e/ q% i$ `# Zlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
5 x8 j+ X7 T& ^
. ]# r6 U! m& w$ l+ _$ }- \/ u
) Z2 E$ J, T% H3 s2 }7 Hget-global-proportion. O; X6 W. d1 ?9 v. z
let trust-value
6 s* C7 _6 G! V Olocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
) q$ P; p* ~! V) s- oif(trust-value > trade-trust-value)
1 D& v- E$ o3 f4 J/ T[set trust-ok true]8 `. C- L# s. j: q( W1 Y4 H
end) e# B+ A6 z1 w
. X6 n _2 }6 D! e7 q
to get-global-proportion9 d. i! t. D: z# y
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
0 s9 z# w7 X0 B, T6 ~. r- i[set global-proportion 0]* r6 w0 p; Q. c# y% a/ a5 U8 p" n! P9 Q
[let i 0. c* X4 z, u3 H8 C' A& B7 D
let sum-money 0
5 E+ C& ^6 ^7 S$ m+ l' lwhile[ i < people]
4 e+ G0 t( Z, N* x) F[# x4 J* Q9 H2 N1 @* h+ o9 G
if( length (item i$ Y# q8 Z( v2 O/ `* B t4 x
[trade-record-all] of customer) > 3 )& x/ J2 ~& L, u. g. \8 S
[
" l6 r+ ]5 n e5 i9 F- {3 _set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
/ N+ o8 k% F& I5 e/ c$ w]+ w3 ?3 x3 a: p) m3 ~
]
( H3 G$ r j8 Jlet j 0
3 p( {5 {: K5 }8 \1 @# ^let note 0
! @; e" k* C3 I1 ^9 vwhile[ j < people]
8 r3 ]# P/ ]# `# @/ x7 J0 ]$ q[
5 r" c) U8 ^! z5 F( Z+ \, lif( length (item i& ~4 | `+ r2 f+ r+ I
[trade-record-all] of customer) > 3 )
2 O" m' B6 z8 K6 E, c9 V[ r& j: g* U/ o9 ~" W
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
# l3 F) J* R$ o, ~[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
K8 U2 L9 s9 `[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
/ u3 E/ D+ @% y; e: `/ b]
9 H' G8 s2 b; d4 }' ?]
% b9 S/ I, [# gset global-proportion note: ] k2 c# q3 @0 F
]5 d& [7 w/ B! q/ L4 t1 d- p9 ]' J
end
' p) H% L' P8 s0 T, p: Y/ I3 u, ^# B7 R O
to do-trade5 f, }% T+ U- ]; t
;;这个过程实际上是给双方作出评价的过程
2 @# H3 G, j/ \. G# Lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
. I5 O1 q' O% w8 h) I( B0 h5 H# Iset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
6 i2 d2 V8 i. o4 r& H8 pset trade-record-current lput(timer) trade-record-current+ ?8 W! K0 j X8 A' Y
;;评价时间
/ Y6 u9 B$ s! W0 uask myself [
. _/ V6 p/ e$ S+ n8 ~update-local-reputation5 }0 ~( m! K" n7 o# r; G
set trade-record-current lput([local-reputation] of myself) trade-record-current* c9 g `. C1 t( I- y# c" e* k7 H
]# [0 {1 |' U2 h5 R
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself, e6 d* `+ `7 m0 X
;;将此次交易的记录加入到trade-record-one中" G6 B5 x" r& Z( ~: f
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
1 I( n% [) N; b/ Z( W: w# v$ ?let note (item 2 trade-record-current )
+ [! I' O" E9 P8 \1 m( O3 r$ ? q3 fset trade-record-current
: W9 u3 x+ T! o0 y$ R; C(replace-item 2 trade-record-current (item 3 trade-record-current))8 _- G% T. V: t, Q5 g, ~
set trade-record-current; X' u% t! W7 _
(replace-item 3 trade-record-current note); h7 O& L; b% w% ~: k# b2 _8 `
8 x F8 ~8 ]' ~9 b6 [0 s U
( l1 j3 ~) x0 w0 K% a* ~
ask customer [
" y0 x6 s# u6 W1 lupdate-local-reputation
) H# |: c0 _ q2 g2 vset trade-record-current: U# V* p. |. s. W
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
( e/ B- A" n/ N _: O$ T]
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7 w! g& C) Y7 X+ a9 |0 y
4 n5 N% r$ y3 p& Yset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
; @2 O! y* c+ {! {, O5 n! f j: \3 g" i3 Z* Z
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))+ W! U4 E* g" Y
;;将此次交易的记录加入到customer的trade-record-all中$ W) P a7 a. s, x* S+ C! d
end% n1 e4 _$ E) W8 [( M- b: R
9 S5 N3 R3 G, @7 x; p$ I
to update-local-reputation2 _5 T$ W0 K2 t% o9 `1 J# B
set [trade-record-one-len] of myself length [trade-record-one] of myself
4 {5 _* L ^' P- w' N4 ^4 a" A$ j" o1 ?' C
! L, |7 Z4 t7 X" b: I2 Q;;if [trade-record-one-len] of myself > 3
) @$ b p0 ?, x$ X" [update-neighbor-total4 s' s! R" P* n% T; K$ u V. j
;;更新邻居节点的数目,在此进行1 D) g. v% G$ q; L" X% [
let i 3
( l$ i$ I0 d2 w0 zlet sum-time 0
: T' t3 }# t6 E% Y, Y0 D3 a$ Bwhile[i < [trade-record-one-len] of myself]( _; V% O4 f: h9 n/ d5 W
[5 Q. k7 d3 L1 G8 L* D4 K L
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
* W% D7 x3 O9 l. xset i2 s, p1 R$ M. _" U
( i + 1)
V5 ]' `9 S4 g' `+ i2 c2 x, s9 b]
, [0 u( H6 ^4 C" j" mlet j 32 v5 q1 Z3 n5 ?
let sum-money 0
% p) ^" } B, f2 p3 ]7 ywhile[j < [trade-record-one-len] of myself]
+ p* C. T9 x) n. E. A[
) Y0 \; K4 Q& k+ V" l% r( 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)
0 E M9 [$ O! [# B1 yset j
l3 G7 O0 l5 l9 W% f( j + 1)$ U( k3 ~! M* D2 P
]
9 t0 U5 {, E& ]let k 3
/ q& \) L% I3 Olet power 00 Q) D! i# v! P: t3 x/ Q5 M, c. }3 Y
let local 0% i$ e0 _& d% k$ y. m# s. _
while [k <[trade-record-one-len] of myself]4 w8 @' n( v1 p- ]0 J0 y$ f7 k& {
[
+ t3 I+ r0 I' D' F7 b! a* R& lset 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) " N+ L+ b* F) Q- t' S9 L
set k (k + 1)
: H) G, Z) ~1 W" E]
2 p* g1 F2 F% m+ V. B3 T" Oset [local-reputation] of myself (local)) a6 P0 p) J7 T. y R
end
& @; u/ ^/ b: K1 M+ q+ G* _
) p" M7 t2 Q) qto update-neighbor-total* Y+ z! f. {5 ~
# I( \8 \- Z6 w- l9 cif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
H0 T3 H6 }/ G7 o6 {$ o, O' D) P3 w. v& v6 Z& I
2 p" L1 c( G: C5 N; y0 ]+ aend
; W# l. j# F+ [1 \. q/ c
/ S7 C- s( F9 X- ?* U" a/ u+ nto update-credibility-ijl 5 K) m4 I+ ?4 z
$ u5 j! W a- f1 S;;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。
: y, S j8 a9 e" {, hlet l 0; f! J- H! l1 @ c) T% ?7 E
while[ l < people ]" A2 [; \% [; S. j7 _# o" v) t5 h
;;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
' e/ R. v. H% Y7 J, X- Y9 i[
4 m. B& D1 r5 U5 [( Mlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)/ q5 }% O* b- m/ L6 \$ U6 A' R
if (trade-record-one-j-l-len > 3)
) l# i6 R# m* |4 Q5 \[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* e" M8 [0 I1 K& F0 m# S# h3 p! M
let i 3
1 G/ c5 E$ i; i6 C, m+ S, Nlet sum-time 0
/ e J( N2 h4 y1 ]while[i < trade-record-one-len]* ?3 L2 M- U( B9 {) d
[( y9 M' Z9 C- R' l
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 T7 Z7 {- \+ U' U c, _! x
set i
4 T5 c/ i3 }2 q7 j$ G/ n" `- l( b( i + 1)
4 B% B7 b* z4 e7 V2 ?; _" Z \: ~. ]]; U% G3 P; ^6 A2 T9 G& u6 k
let credibility-i-j-l 08 L+ m/ p. x3 H! S
;;i评价(j对jl的评价)
3 }3 K# f' U9 t9 H& h4 llet j 32 B& v; q3 F ?4 f8 K+ o# ~
let k 4
; C+ z& P j4 \& o8 O; f3 nwhile[j < trade-record-one-len]
9 @; s6 b" y3 v! }3 R( z1 C# O a[
$ e" q4 w8 S% z7 l. wwhile [((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6 u3 y! _$ b+ z$ y) 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)
. h) ]: G/ B: L) t4 R1 Qset j G5 b% ^* B; C& @# Z
( j + 1)6 {; _8 O% C3 x& c1 a2 I
]/ ~: N3 J, h2 {3 B! P4 d. Y) G
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+ [+ _. c) Z2 ]
% @ w+ D- R* v
* k1 i- ~) P7 x/ h3 I0 L* Blet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))" i9 e$ S" l' s+ D3 t: @
;;及时更新i对l的评价质量的评价# P6 P; M' }3 x* x, u2 J$ t
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]* s3 n3 v1 \0 Q3 \) I
set l (l + 1)0 y2 e; H. m1 ?9 [
]
* C5 H7 a' E" Lend' R9 F5 |$ g# J; {
) Z6 Y% ~; e4 W9 J
to update-credibility-list
. D. p& o y9 [let i 05 x9 E: [) ?! T
while[i < people]
, E) X' Z" r) L u* f+ s& i[
# u3 s# o" B6 F7 E# tlet j 0
( I+ T/ @) `& d8 O- T) Hlet note 0
- \7 ~& `* i! [2 R0 u2 x( O H$ [5 Vlet k 0
7 p9 U4 K% O$ [5 @;;计作出过评价的邻居节点的数目6 o- K, d1 F. m; V0 G
while[j < people]$ g5 z" _, @7 [% L
[
. k1 u4 ~" M# X" Q uif (item j( [credibility] of turtle (i + 1)) != -1)
& X4 P9 |1 M; g5 G;;判断是否给本turtle的评价质量做出过评价的节点
1 T2 Y* [3 s+ \3 m7 D3 F[set note (note + item j ([credibility]of turtle (i + 1)))
, k- o5 d2 v/ a# {! k( _+ I# B8 {;;*(exp (-(people - 2)))/(people - 2))]) x! j8 Z- J+ I$ `0 M4 ^
set k (k + 1). i8 | W5 |, p# K3 C& v
]8 H0 Z( j% D: C
set j (j + 1)+ y* _; ?1 F) D* s# p
]
% B+ K$ N8 @- a( ^% o4 nset note (note *(exp (- (1 / k)))/ k)
9 n+ S! h m4 N6 t( W) J+ _set credibility-list (replace-item i credibility-list note) p9 I/ F. G+ S5 J4 N: m
set i (i + 1)' J8 s2 ~# ?( K8 X4 \
]
, Y* ?$ k, I5 k: d' r( l7 a; wend# p( F, }/ z* }5 C
, S9 g" L4 S3 o8 \4 U
to update-global-reputation-list* D2 J3 d+ P5 g3 }, r
let j 0
! m' u. r6 v4 v6 v& z( I& l* ]$ j8 Hwhile[j < people]8 q2 u: p l( Y+ \+ f
[- Q( C2 B# F, N# p S
let new 04 C7 F v9 |. W5 I9 a
;;暂存新的一个全局声誉/ o0 \: Y: r' l( H6 q3 I. [
let i 0
, _/ \& b. C' y5 x* Olet sum-money 0
6 _# m1 `' d, Flet credibility-money 08 o( P x3 k+ f! h' x6 J
while [i < people]
1 ?2 B0 S* L- N# B- C[5 o O; s% [, l) x Y
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))' V4 h) P8 g$ N
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))" b" _1 F7 Q7 g! R
set i (i + 1) V( ]* \5 l. C9 b6 y( d; K! m- R \) z
]
0 Y+ \" z' J# f6 Elet k 0
6 q4 F% p7 C2 u/ ~( e" E: L* mlet new1 03 a0 o. f- D+ N1 m1 i# v P9 `7 u( ~
while [k < people]& H/ Q1 U) \! J. b$ `
[8 j4 s- G4 P, {
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)
/ s/ H) I& L8 R6 @5 u( W& M2 iset k (k + 1)
6 q: T: P: s& G. W]( O p3 u$ i2 B7 u7 M) }
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
" q" Z( H( c v8 I4 y( _set global-reputation-list (replace-item j global-reputation-list new)
- R' ]$ K8 n1 K8 Z% C+ jset j (j + 1)
; N5 f( [+ I9 @, []
& c$ p0 e$ T& F) [4 J" ~! }end0 D5 s7 K; x/ h: j! `+ ~4 C) R X( y
& F( [% y, x4 D/ {' q% E
; }* e: u/ f: u8 k; ~7 d, Y# {; [" m$ f+ ~
to get-color4 S+ |0 p* B# T
+ [" E7 A# z+ I$ V2 M
set color blue! E# v. Q' y' _
end2 i7 g* B2 r5 W9 ~
?9 ~- c$ r- k
to poll-class7 s1 v. b3 c* y4 X
end
) \; M! i, v8 m# j0 p' N0 @7 m; ~( q: f5 L" v( ^, A1 L
to setup-plot1
, s) w* u' I5 B' Z/ t) Q9 N/ E2 q) Z3 k- R( C! x9 Y% q7 F7 z& K- L& n
set-current-plot "Trends-of-Local-reputation"; s, t/ {2 k3 w
5 u- M5 H' Q* A- U! R. s
set-plot-x-range 0 xmax
" e$ W8 q; E: n( y5 x) k
6 m9 s" C2 s; fset-plot-y-range 0.0 ymax
6 N7 ~/ z; K- l& b S5 z# mend1 p# l3 g) e( y3 |
! i5 F3 U" X5 F+ \
to setup-plot2
& {, o; k3 T: }& w
& J: L! F8 a7 ?* S$ hset-current-plot "Trends-of-global-reputation"
* n+ R4 v5 o, W/ u) L; p8 {; _8 q x2 |# Z
set-plot-x-range 0 xmax& W6 M2 q: e8 U
' u5 j, ?6 B$ [
set-plot-y-range 0.0 ymax# z+ s* r' E1 U1 [
end9 E6 {6 o/ |; Q6 `
$ B6 P. D1 R: n u2 B+ @& O
to setup-plot3
& S( Z+ @! N8 W n. q; |; ^
* g, r( Y+ d# Q& Y& P6 dset-current-plot "Trends-of-credibility"0 J! ^/ V/ t% b% d, Z# S2 y; s
' r" ~$ S! ?2 gset-plot-x-range 0 xmax
' K1 ]) y* f' G5 S9 O9 Y( _0 Y; L5 y
set-plot-y-range 0.0 ymax
E! J7 U! `4 Z1 Y$ W9 @" \5 M. X( Nend9 t9 B5 I- A: k4 u
$ w/ j& O# C5 Z, a4 D' c. O: _to do-plots) @5 l; D* |% @
set-current-plot "Trends-of-Local-reputation"
) \. S K1 f4 h% p9 V! |4 iset-current-plot-pen "Honest service"0 C' M* U$ P- G% w
end9 F0 j) x; [6 k& W9 {' R- o0 I
: _8 I* [% A$ M% s% n5 w1 M+ x9 D
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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