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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! Z- [3 t }/ ?
globals[
0 N& t( w2 h* B I+ bxmax6 r$ Z$ b. k- ^, ]& t7 k
ymax e$ D( b# j" x$ X0 U! S# U
global-reputation-list* I+ L% j& Q, q5 X8 U3 Y. p
) e! I" A9 p6 y$ ~9 t;;每一个turtle的全局声誉都存在此LIST中
7 P" h, U; ?# scredibility-list+ Q9 O5 D: W4 n- ?9 J
;;每一个turtle的评价可信度
% r9 [" o+ v3 a. D7 o# X1 z( |: b u5 Jhonest-service# z# w# J# N% P1 | M
unhonest-service+ O+ M4 w4 F \0 D2 E3 S
oscillation
; m: t( K4 B! a" Y' T% mrand-dynamic
* j( N& k" `% G; O# Z]
/ q" n( \# O; F9 W1 f' d* {. B" j' j& u) R; K; e' E6 ~3 {
turtles-own[
2 w# U- V, S8 u1 b2 R; }! ~+ Atrade-record-all8 Y5 W$ I7 o9 V' P( J
;;a list of lists,由trade-record-one组成7 t3 H$ E. y1 S1 L
trade-record-one
, U: @/ }, Z3 ]! Z( Q;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录& e! @/ i8 E" \5 h3 j
, q8 F. M! g5 T5 ^; z;;[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]]
. A1 Q! o' X5 M( V+ ]' @ ytrade-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]0 T: l0 B5 ^8 Y
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- P) \1 `! y7 D( Y8 a4 r- Q
neighbor-total
( W$ `6 O9 r1 b9 O;;记录该turtle的邻居节点的数目
- ?- b0 I; e" P" w/ t( `% y/ Btrade-time \6 z; s* `$ O) c5 D) \+ u7 ^
;;当前发生交易的turtle的交易时间
2 l' U- K7 J- x! E" x! v: |appraise-give( _- i6 ?, z2 N# K
;;当前发生交易时给出的评价1 r/ P5 N2 c1 ]& `5 b1 k
appraise-receive! r. u& l# ]& Q/ J0 m6 C) K1 }; t
;;当前发生交易时收到的评价
& K3 l" Z+ G- C, ^' r3 lappraise-time
' \/ K. S" @- a0 a8 P;;当前发生交易时的评价时间# k; b; @5 S! C, [. Y$ |! p) V
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
2 e- r3 s5 {5 @' g: ?- _% ~! qtrade-times-total% x+ n! [) `. w
;;与当前turtle的交易总次数
7 v& \( q% ?: m7 B' i3 @. etrade-money-total
# t* k; j r+ c1 R7 B;;与当前turtle的交易总金额- i% u7 P/ a! e/ _$ f
local-reputation
3 H( d( C! t4 o9 F5 i/ qglobal-reputation
# q, F+ _9 m) W/ l- Mcredibility
0 f- D- G$ O s: g" L;;评价可信度,每次交易后都需要更新
: N [# b) ? a( h- p+ Icredibility-all
" Y3 j" a; |2 q* ^7 i; d$ e* t7 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, C1 C% S- z) _% ~: P) _7 ?! e( H
1 t6 s }6 R2 u;;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
: F. {8 x* x5 m6 q6 Kcredibility-one8 C" k/ Q2 F4 R( I0 Q/ F7 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
- q! @: F" v0 T' Q2 {8 z% E" d+ Vglobal-proportion
, L, f5 }0 F6 E( v; R# qcustomer
9 X% B" y+ G4 Ucustomer-no
' Q5 q2 Q6 H% n, Z2 j& ktrust-ok" m6 J% [+ m* b) ~
trade-record-one-len;;trade-record-one的长度8 D0 i; Q% {. [4 [
]
) @# N* Z5 N1 t5 D- P
9 ], ~* _& {9 u;;setup procedure
/ y7 D* q: f' A6 Q
# R, h5 R, g% X9 j6 _to setup' v$ ] G d5 Z; H; A/ j+ T' O
. U1 }& c6 e. V! q! a0 B1 fca
4 R$ I0 k; e$ V! D2 q) |4 K# h& e" t6 s) i
initialize-settings7 e) w- g. T& w5 Q% ~) V
( [( r7 R1 O" V0 s! R: a
crt people [setup-turtles]6 ? i5 O# T# g' n! K
9 U/ [3 q |. o4 I( }reset-timer K; F) m, L e
% v8 ?) e! p! e8 s( _6 i2 s- D/ s- }
poll-class5 [! S. N2 l) A4 m
. G4 V6 m( @3 ~/ S( G/ O! r+ z* [7 Osetup-plots
7 G4 r8 f2 H5 l; o A+ n. C) y( `5 ^
do-plots
; D# A+ b6 k' q4 S4 V8 @0 |' [$ F. Q6 }end
5 k) f1 A+ b, h. e8 }$ K$ `, W3 H. m X1 a
to initialize-settings
7 C! W3 i# w' D$ b3 r4 @2 d5 g! m& q8 u' K! y* B& z
set global-reputation-list []. D' a% S2 S, c7 F% l U) s# G) E
5 a# z# g4 ~8 q) ]% X; k2 Y. _
set credibility-list n-values people [0.5]9 C- `0 n+ f2 [: `6 r
- T! Q) [4 n) m; q0 k
set honest-service 0
4 B3 i) e6 ]5 I0 b3 j3 T$ n7 D! D
set unhonest-service 0
7 ^' t7 A* `* u3 y7 F; u. ~( [3 d3 I8 A: j/ s
set oscillation 0
0 O( m5 v; ]9 [9 z" o4 r/ B- v" s" |% l, A5 I% E) i9 w4 N5 y
set rand-dynamic 0
2 L% \5 l# N6 {4 D% Gend
' E* H d2 F$ h# W$ ?+ _- V8 X9 a6 H4 f+ }
to setup-turtles $ _. b0 `6 q+ Q
set shape "person"/ B4 i0 r, a9 Z9 k
setxy random-xcor random-ycor
/ c0 Q- N3 C2 X' G# Y* Eset trade-record-one []
/ k! b; Y7 I# t1 e) J
9 r/ s* Y( _! T3 @8 `: M% @) kset trade-record-all n-values people [(list (? + 1) 0 0)]
! o$ t( S: C6 S: |* W; k! F% ~3 M" c2 B1 O& k$ \- l
set trade-record-current []
: \: E4 D- D5 L# H8 y- lset credibility-receive []
. v, u% x& J0 F9 P% ]5 p7 u9 X3 qset local-reputation 0.5" r) w P+ B6 Z( b
set neighbor-total 0" p2 _* P/ A Q) F3 B$ B2 v3 E
set trade-times-total 0) g8 j5 |3 t5 N8 U# p. _
set trade-money-total 0
# d5 X/ \& g" Y$ }' iset customer nobody( a& X- m5 N9 c: Z$ z# ~
set credibility-all n-values people [creat-credibility]0 R; C$ ^ E1 }% `, Y& Y
set credibility n-values people [-1]: q" N& a- t% v
get-color" ^6 L; C) r6 x7 P) U# [2 D
( G6 p1 b, d, O% d$ e+ b$ ?0 o
end0 Y& o2 j* u: u0 x1 D6 A+ W
" c* b: e" ^6 w0 |- W' Vto-report creat-credibility
& ^; e2 y3 t- l+ Freport n-values people [0.5]; W8 A/ C4 E: Q- s/ f/ L ~9 l% I
end
Q, c+ M3 a* B5 n2 M. I- a' K! U
to setup-plots
' y! v0 s# }' R, w( }
/ Z# V0 ?$ U+ `1 V2 v+ Uset xmax 30- u" G" R5 i, h0 u1 a
9 b9 c) W8 n P8 x; k! G' n* C
set ymax 1.01 m/ ~. h, l0 f# ~2 t _' z& m+ k, S9 T
8 Q$ G: o8 z# k: Z; v2 _
clear-all-plots8 p$ @, G" W: K: d) G- x
% ?7 W! C( ]; L" [* {setup-plot14 w8 z, G% Q1 V4 }
- K2 p# s+ y, b* X& f
setup-plot2/ x. t3 h \& l: V+ Q. F. P
( p9 m( j5 i- H* Y) Y2 X: jsetup-plot3
( G- W! V! r" w Y5 y( g3 V/ Yend
! l, U, S) i5 J$ I7 ]& k$ O
6 ~1 M4 V2 v( j;;run time procedures, O0 N4 V) R6 W! P# C3 J% @$ V0 l% z
- Y" m! a5 E+ u1 a3 @* j* zto go7 Z$ n5 ` V6 [& i% m$ b( X W& x3 O, L
0 A- p& w+ s' R% K3 aask turtles [do-business]
' x, `9 @5 u$ M% t1 F" Uend
; }/ q) m* M* d# N$ P! o3 v
; ^% r+ A0 a8 cto do-business
- @( Z/ X/ `& \" ^( j
* l4 l) U3 I# B4 r o9 C
" S* f, R+ S8 |! j0 Brt random 360
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fd 1- S3 Z- e3 }2 n/ t0 r, } J
8 r4 U2 o. O9 j& mifelse(other turtles-here != nobody)[
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set customer one-of other turtles-here9 h1 O6 I7 T, ?1 ?
- F" b. ?. k0 r7 e' C+ {5 n
;; set [customer] of customer myself# O# b9 A& z! L' X! n: `% e. {7 G
- j" i p7 X6 x: @8 @/ xset [trade-record-one] of self item (([who] of customer) - 1)
# s5 C! o0 @9 P& s9 o[trade-record-all]of self _! k# X: c+ }. ?0 G+ ^' ]# J3 n
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
2 U9 W0 r k* }: |$ {" g- M) k* H1 j5 G. A/ k* }
set [trade-record-one] of customer item (([who] of self) - 1)
" t, Y: Y. K. g3 l9 b[trade-record-all]of customer
& a4 ?. f+ X9 t
) `3 s; H2 E9 [set [trade-record-one-len] of self length [trade-record-one] of self
3 D8 K. @8 g9 k1 s: e6 c1 a- @$ u8 d( i; f/ ^
set trade-record-current( list (timer) (random money-upper-limit))& w6 U1 w6 s8 X
h& q* S; L0 H* p6 Bask self [do-trust]( Y, ]2 y/ \4 D0 v9 L
;;先求i对j的信任度/ h8 e7 c, v2 \+ g7 N/ v
: E# P A! D1 v) E1 e
if ([trust-ok] of self)
0 X8 I6 L7 r, P5 M4 ^* Q1 j; y0 _;;根据i对j的信任度来决定是否与j进行交易[
& ]& T1 u, ?) Rask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
- t8 \4 |, ^% l- Y+ u- S( n* k% X' d: Q
+ ?+ b1 ]: D' d, i4 A[$ E+ p* y4 o6 `4 s; a4 _& V1 U
+ @6 @7 o% k. E1 R
do-trade
0 u% X( y* h& ^8 c5 r( C1 Z+ V3 H4 E$ @2 S
1 D1 X2 ^, k3 o% F: Pupdate-credibility-ijl7 G" k; _* N B# Y# Q. c" }7 K
0 f" b& d/ E' Y. h' P0 c; j$ K! p
update-credibility-list
0 ?% s# [2 T+ G7 U
' s$ r! N* d* L9 S0 R
" z5 n3 m' U! N! W1 K: X4 k3 Gupdate-global-reputation-list+ J4 U/ L3 e% r
% S1 z( x' T; H
poll-class) _- L( T4 ?- f9 n) [# i
0 d% P/ t; L9 k8 a1 Z' yget-color" B- z. @% k8 o
) m9 O0 |/ @2 c( Z% W]]
5 @5 @( X3 p( K8 h2 O: o7 u9 |- m# r R. c
;;如果所得的信任度满足条件,则进行交易
2 T* x9 Z0 H3 |8 g I$ x5 W) i6 `9 K& Q" P8 c4 _. @) S
[
2 [2 c' E* R; l: U
! q* l% M3 s% \! w" _4 art random 3603 L3 p3 u: ?7 c% C% T
' z1 ]) H% `% n# p& s3 m+ S! @) lfd 1$ _4 c- R9 s) E" c5 P
7 I! t) G: G0 Y1 Q6 }2 w, ?
]1 {! r' ^# B) t7 H0 }0 Y, E" a
% W/ v& S! p/ ~! h, mend
0 H) f/ J2 L2 w$ y# ?0 t( L A4 j/ c* t- @: U9 n+ E g
to do-trust
; @% D& t2 h( ~: T5 `7 ]set trust-ok False
4 ^" a# F# C$ h& R; H7 v9 f) ?' n/ I7 y1 H
& Z# I/ c- E& P0 n
let max-trade-times 0 q' u+ p5 C) [0 e2 p5 j8 q
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
5 |. c. m* t2 d( flet max-trade-money 0: G0 h Q& h7 ~5 a6 I( a
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( i* R2 V& D! M: c, H/ n
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
9 @6 @+ g- z f! G/ q6 T4 Q; D) K# Q- [5 t- k$ [8 u( c
7 \4 k T* o0 ]+ r5 A, Kget-global-proportion0 x1 _" w# Q* Q8 P* D3 M C5 X
let trust-value
& O! @; \8 `) t3 Z% k/ Klocal-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 |! h- T. o) W" P7 i5 Xif(trust-value > trade-trust-value)! d6 z3 `. H! P* Q
[set trust-ok true]
. b/ U: {! E- R0 Bend m) d8 }9 j, B# A$ H
. P+ R7 J2 w- H6 K' M
to get-global-proportion
. n. d8 L9 ~# n( K& m! i9 e8 ~0 M) xifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)4 L" w; _- ?9 U5 M3 f6 u: e) d
[set global-proportion 0]. A& }8 o3 q0 _1 D' d: L3 a2 z" |
[let i 0
, w2 y2 q, t* o! G9 alet sum-money 0 \1 A. O* C) Y" m* i- ~
while[ i < people]) |7 ^; w, F. O0 O( x' Q& ]+ G4 }
[* b# m0 ~% h* T _' d0 `
if( length (item i- X& B, J0 d9 O! Z* C* N
[trade-record-all] of customer) > 3 )* x% ^/ \# p3 o( [( z' X# [
[
7 w' _3 V: v8 f7 {+ K0 ~$ g! Tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
, j( E* _' A! q D5 n; }3 @1 T4 ]]
2 z7 f9 N2 D* u+ K: Z]
3 D, b* S1 e+ z0 Slet j 06 N, c8 @# J t. S9 N
let note 0/ g- F0 t7 F L! [( [
while[ j < people]( Q6 y# l) F5 I
[
) o1 e; y# A4 w% f4 O; d/ ^ s5 Tif( length (item i
4 K* n1 s! E1 t8 j3 r[trade-record-all] of customer) > 3 )' A7 E3 E& c3 b3 _1 Z: B5 c: p# w
[
: f: }, I a8 P H; @: @ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)/ w& W: K' N3 g- R" j% S; e
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
_' d& ~# Y: n6 h* r[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 c* p' L7 T+ \% n]
9 G7 i' j4 ]. L4 t, f6 S]$ b; o) ]7 Z6 V9 _
set global-proportion note
5 X: C, P/ c3 o: L. W& N]8 r( T" V; D9 X' y1 B- D
end, N |, V" p- n; {+ i5 ~
" P/ o- p' I" n: I" I4 D* D/ Q
to do-trade
- x' E7 e& O k3 O& `;;这个过程实际上是给双方作出评价的过程
6 j5 x$ A4 p# }' k9 tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价, S) l" t5 q/ X
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价4 p; }& L! p& m/ y: H
set trade-record-current lput(timer) trade-record-current
# P1 {( R9 ^, H;;评价时间( e# u) D t- m& @ r2 @* B+ {0 z
ask myself [* p; Q$ H2 d+ v: M2 E
update-local-reputation+ O, l! k/ D5 y/ k
set trade-record-current lput([local-reputation] of myself) trade-record-current
5 L4 M: w. w! F( A$ l1 }]1 `' J7 ^; N p8 F7 c& d
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself/ Z, s3 J; } e* {" T
;;将此次交易的记录加入到trade-record-one中
0 f+ e& S. \, m4 Aset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)5 X3 C% `; d$ T) h1 [0 s! U
let note (item 2 trade-record-current )
) u% M" ]) O* a% y8 @" d9 {set trade-record-current6 j- Y% a) X1 n9 D; ?
(replace-item 2 trade-record-current (item 3 trade-record-current))5 O& S4 j0 v4 \. y4 k! d
set trade-record-current
W/ k( _; N% G+ d% u(replace-item 3 trade-record-current note)
: v* p9 H% g, M7 X+ z- K$ A( A* }- b( ?" A3 X' B* A
9 F5 M4 G* Y/ ]) t* K9 S- P
ask customer [
+ l7 z. c0 c; L9 gupdate-local-reputation+ u" @. r/ |+ A
set trade-record-current" p) _0 T+ F6 y
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " O! P7 T2 l, n# E. V4 P/ c% [
]
0 j+ b2 L: R |) P, ^; k. N8 h* K
2 R# y% ?/ N& o( X, c J* v& D
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
# Q( h. t- s5 I0 Q# G# B& ^# n8 }) z
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
9 k& p! ]! J5 f! H9 a8 c; W;;将此次交易的记录加入到customer的trade-record-all中* r7 @. K/ j. F {3 W7 z
end
6 B: k) u- X' R
: u; ?' }; Y/ e' dto update-local-reputation: L3 S) B. c0 M- b
set [trade-record-one-len] of myself length [trade-record-one] of myself
; y/ w' H) s! [2 A! ?
5 [& Z! j7 n$ E S6 F5 a# M$ W/ ^ _* O% T1 f7 Z2 N
;;if [trade-record-one-len] of myself > 3 5 Y5 f; p" A5 d# J! h M" {; s
update-neighbor-total4 H. x: K. A9 O! O- F( Z5 h
;;更新邻居节点的数目,在此进行
7 ~ q$ {# F, u# I* alet i 3
- m& e9 j; A) n, H/ p% elet sum-time 0' a. }( x$ A0 r2 K* u+ I+ \
while[i < [trade-record-one-len] of myself]1 B/ G: Y, r1 E: x! c, }- f1 L
[8 Q7 w/ \3 Q( {; X; D, v/ x
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
' N: y U+ _) Q/ Q/ ?0 Iset i& t1 I: {# t) V
( i + 1): L, X: h4 r( S, g b- {
]
, z9 c& D$ n0 i elet j 3& J* b; s1 m; g; J: M' f
let sum-money 0
1 T$ Z8 H$ P$ f! u3 {' B) gwhile[j < [trade-record-one-len] of myself]& P; S& b7 Q7 P( E; x* f7 t8 R( e
[
+ H& a3 U3 w! c, \ k9 Gset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
7 ]; C7 f. a/ yset j. A, Z* Z1 k2 F6 g( }
( j + 1)
) E% Z s' W+ j, C% v" o2 Z]; D/ E- n! _" |# I9 Z6 D
let k 3
+ B J) a: C3 j2 C. `9 X9 q5 g2 Plet power 0+ X, H$ k/ ]1 P C2 z- `
let local 07 q9 p9 q2 r/ p9 s2 V( ` Q0 @( ?
while [k <[trade-record-one-len] of myself]
4 d/ {5 |5 t4 k0 o3 @[- n0 j# _' \0 L8 }) j* U ^, c
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) ' t9 l3 u2 ~- J( N0 v
set k (k + 1)# a3 P& m. M- e7 a3 v( H
]
) `' g5 z4 L zset [local-reputation] of myself (local)& ^6 H: `& |4 {/ u/ i
end
* F: X4 x+ v7 {7 I* A$ h+ ~' y6 Y0 x/ Z7 |
to update-neighbor-total; s+ a4 L( `- o
8 z% R& c1 F+ j
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ], w$ S6 Q/ g8 X! ^% L5 B% X
% Q" B* C$ }) U% j7 m9 i# H
/ ?) e6 ?$ M+ Y1 w$ vend+ f9 m: u* D5 _% O' t ~
, A# W( n. U3 `to update-credibility-ijl
0 s( L" w. z1 N( m* D
, S O1 m1 v4 r7 b! T, D7 ^;;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。
! Z- v# R2 U7 j/ [. g$ N9 elet l 0
" _$ ]2 l9 H. b" K- d8 Awhile[ l < people ]% R1 Y1 I9 _& A1 d$ X( v- P
;;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
" b6 B4 x! a) b" f6 ~5 J1 k2 w[, Z* O# k" f7 _
let trade-record-one-j-l-len length item l ([trade-record-all] of customer); \) q4 h( l" W. F6 A
if (trade-record-one-j-l-len > 3)
, e) J8 ]6 O' R1 u. I[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
9 M) Q, v" F, @* E+ U4 {let i 3* |. @: ]- o) L" x, }8 l
let sum-time 0. t. X& y3 M4 T, p2 M$ e4 ~$ f0 D8 Y
while[i < trade-record-one-len]
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
: k) \" ]: o. p# k% N! @set i
- g: {% H& \+ x" |6 r+ h# b. K' V( i + 1)
0 S% U- c+ s2 R! C* _0 o1 ]]7 n0 x# F! h- i1 F7 Z2 K; `- {9 }8 j
let credibility-i-j-l 04 k6 |# u. U2 s
;;i评价(j对jl的评价)# }! ^ J* k, _' t* H! Y% [: q
let j 3
% w% p( o2 X( z: \let k 44 i) J) ?: j9 m; R+ v! P( q
while[j < trade-record-one-len]
" E, b) g3 Q4 v, K i[
- O* h) N/ R1 `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' b* i% H x6 [9 `" I5 b3 M& ~$ l
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)
( M( b; p% t4 Jset j& i$ I& J$ T" g2 d
( j + 1)
3 B1 Y1 f' k( ^* H0 h! r( v]" V3 U# `" t; _+ O
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 )), k6 {+ p7 \. i9 z6 r4 K% V
! W* Q4 K: `/ V$ W
. @9 R+ }( i! K6 R; M; Rlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
3 k( b( @& R9 N: _2 r;;及时更新i对l的评价质量的评价$ [% X" |2 r/ h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
- X, i4 q. s2 Y# jset l (l + 1)
, W f7 u, z$ u" r9 x0 z]' C/ B! @2 n3 _" x4 o
end0 }; u) Q! {' f8 N
3 G# l5 @$ m, W1 \/ _" Nto update-credibility-list& k( R w; y, Q7 L2 n
let i 0" }4 v! w2 K" Z4 V5 @) P
while[i < people]% n9 ?! Q1 v9 s& t
[1 \# u/ O% T& g: e
let j 0
; S8 d E! U# N2 F0 j& C3 ]" Rlet note 0
3 f+ n* P# c/ glet k 0
+ r& X2 K; ]1 k2 T c6 f' o8 O) n;;计作出过评价的邻居节点的数目
: D6 v4 O9 i" Owhile[j < people]0 N& o# L7 ~% b) X
[
8 l4 B% ~: b* n% |& A) Vif (item j( [credibility] of turtle (i + 1)) != -1). w2 X5 X3 F+ y7 a& g3 }# Q
;;判断是否给本turtle的评价质量做出过评价的节点
: w6 O) l8 R% s6 \, ?5 W' _2 W[set note (note + item j ([credibility]of turtle (i + 1)))
; C+ z9 A: K, G, ?6 _;;*(exp (-(people - 2)))/(people - 2))]4 Q1 y4 |4 e! K% ?
set k (k + 1)
7 |: N ~+ n: J8 ]& | a; A. x]
- g: ^' M& o [& Y( q* Oset j (j + 1)( l: [- L% U; ~- p; J# l6 ?" r
]
) A! o& D! ~6 ]( uset note (note *(exp (- (1 / k)))/ k)) k% Y8 B* z4 d1 p
set credibility-list (replace-item i credibility-list note)! s; J2 ~2 N' q% u/ J! p( l! z
set i (i + 1)
4 m# G! t$ J' |) R! \% N/ Z' t1 O]
6 }! A0 A. a9 l, t9 \' G9 X$ Cend
3 r+ y3 K o4 ^; e' @ g8 P" l" s) |
! Y9 {8 R1 W- w) F! ^" M N5 o5 vto update-global-reputation-list9 t; f# | ~4 n* V
let j 0) K" S: K+ q$ r6 t. h
while[j < people]1 N; I# P" ~6 `) U
[
) I4 E' Z# `4 i' j$ x, \+ x( a) |9 ylet new 0
, A9 p6 Q) l+ n8 J/ Q. S4 {, R3 y8 q;;暂存新的一个全局声誉
. S0 ^/ V! ]0 |7 h/ Q5 m6 Flet i 0
: `, Y; A8 W$ S: D6 o' elet sum-money 09 y1 @% ?4 I0 Y4 j+ X
let credibility-money 0
% |7 S0 s9 R" g! h% Ywhile [i < people]
! a y3 o, H b5 j3 g" e[
( x* B! [4 d* X5 b: u/ x/ v- H! Hset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
& ^. L$ a1 g [1 P5 ]% k5 gset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
8 G! c; C6 x, [( K* F: yset i (i + 1)
! ^ |/ X' O1 d& G- \]0 Z0 c% d% g; a" a! [( z
let k 0% {& y5 O. j! ~5 `% O
let new1 0
+ C& u' Y; }' a1 x i/ P8 ewhile [k < people]" q" j6 x( s- W$ ?. _; Y
[
! j* }0 q4 w; yset 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)8 }/ ~. W9 D8 Q l8 P2 h" y4 [/ g
set k (k + 1) R/ @" S1 Y, ~6 T z
]
( S/ D( v+ V1 T+ Q9 p+ _set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 9 U. g$ `& L/ F& l" G/ b* P* v
set global-reputation-list (replace-item j global-reputation-list new)9 {% M9 Z- ?1 [0 B* g* E
set j (j + 1)' f/ m- w% {1 B9 O/ K9 F: P; q
]
" n% f( t. u: \, Pend5 i+ t, C6 r+ I/ Z ~, D
. Z# q, [! `2 K7 V) @* t8 e u/ s' L3 a
3 Z$ E: M& F- A9 l2 f9 x) h% Z
q# M+ S0 g) [' ]' Hto get-color
2 q7 y$ E7 x3 T( T$ U4 M6 w
, s9 e5 l6 j$ A! j& W/ @, a6 eset color blue& u: H2 M) e% ?' |0 g3 E
end% m) A5 g9 {. {
9 ]7 ]) v; c3 s% J& j
to poll-class
/ w# R" v/ |2 m+ r- Aend
! |0 A! O+ F% R
$ A, s$ A! |, T4 }to setup-plot1
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set-current-plot "Trends-of-Local-reputation"3 k/ U j+ G; b
1 L" `2 k4 i" U. p( r5 rset-plot-x-range 0 xmax d; r3 S6 a2 B4 Z+ l
3 `' I. X9 c% v! W
set-plot-y-range 0.0 ymax/ b' n, M3 i" A0 W, l
end, i; N5 k4 |) K! l: }) @
% u8 \/ p( ^" Mto setup-plot2' ^" w9 H+ s6 o. F+ R! L
% t6 D- j+ S+ z% _: Z, y$ e+ T$ d
set-current-plot "Trends-of-global-reputation"
7 b v# U7 d0 e7 Y- N; n" Y1 u9 r' f2 i6 M7 o4 e0 A2 p$ l9 @) j
set-plot-x-range 0 xmax# z6 z9 A9 [% S' R
: Y8 f6 V3 d, t$ Z7 ~
set-plot-y-range 0.0 ymax
8 b# d$ X. R3 L& @! yend
$ h- ?0 n) t! Q; P& }) D: E: ?) ^7 I) Y
to setup-plot3
: Z+ N& N4 e& T- P
" U/ X* s# _7 S0 d9 @7 R" Eset-current-plot "Trends-of-credibility"( o. ~: E" ~3 |% u
* S, ^" e) r3 Dset-plot-x-range 0 xmax# `8 J! v+ [+ f8 q
# R0 b, s/ m3 e! z) ]7 Sset-plot-y-range 0.0 ymax
" R& B! _4 ~3 Y/ H; D% o. xend( h" O. j6 I2 B
1 V8 I7 c9 w! c7 F) n8 J* l6 [
to do-plots( p5 m# m" G9 ], {5 l# h
set-current-plot "Trends-of-Local-reputation"
" o- Q: J8 H( z* m, U: Uset-current-plot-pen "Honest service") L7 \4 g0 z3 D' G( t! w, L/ s
end) N) ~7 w& L2 ]+ _# T; Z
% M2 f# H4 o8 h
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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