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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: ?8 Z l6 r% ~
globals[* \2 G9 b0 Y o# S6 l- K- S9 d
xmax" S4 z4 u- [* G8 s
ymax
. |$ i& i( C- w( Yglobal-reputation-list
9 M/ O0 f" I% ?( G$ Q0 ~8 [* l0 x; X9 f2 [1 }* L+ t
;;每一个turtle的全局声誉都存在此LIST中
4 q& \, \* |- Z* A+ T- fcredibility-list
2 h1 q% O9 Q3 @9 t: k0 d5 Q;;每一个turtle的评价可信度% |$ W; j, [( s0 Y; Q+ v
honest-service
/ c1 u& Z7 W, e, G# m/ dunhonest-service
' i2 I" x5 \# m3 D6 Qoscillation/ |, I: b7 g& {: G9 F
rand-dynamic
% d# H+ e2 `& e* ?# }* ?/ _]* O& Z( G( c4 H9 E2 ?3 e2 {
( p3 S" E7 _1 Y- G% R. H5 t" r% r" lturtles-own[
0 |) Y$ a0 Z1 o, y4 F8 Ftrade-record-all; {9 Y) w/ I9 n2 t1 F+ y' _
;;a list of lists,由trade-record-one组成+ L N# c: I$ [1 M- m! y. L0 a
trade-record-one
, x1 G" @$ w) h8 P# d;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录! z) I5 i- f* ~6 k, e
9 n7 B1 E' ~# L/ |0 _$ I- e;;[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]]
" J# t7 }9 {9 d& qtrade-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]5 B# Q+ n' _+ {3 j/ _
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
7 U! x" j7 q' t! q9 {neighbor-total
7 j8 }/ E" v. K2 F5 j9 {;;记录该turtle的邻居节点的数目, l6 l: e4 a4 y+ B2 @
trade-time6 ^0 O- v; J6 `. R! ^: o4 {6 I/ G
;;当前发生交易的turtle的交易时间
& `7 W" C$ A4 Z% [- b; {' Y4 i. uappraise-give: u1 Q+ g3 n' |3 m/ J% u
;;当前发生交易时给出的评价5 N9 R0 k' q8 Y0 `$ M
appraise-receive1 J+ j7 |; v" N$ a
;;当前发生交易时收到的评价
+ _8 y: l( v4 g, y: t0 ]- a$ [; n5 v3 \( Oappraise-time
' v* C2 A) Y6 Y: |# \' F( q- k;;当前发生交易时的评价时间7 i4 j4 i3 K$ H) N4 x6 ` m- S
local-reputation-now;;此次交易后相对于对方turtle的局部声誉" v6 g8 g5 o2 |; g$ a- E! W
trade-times-total
9 v2 S1 N. G. u% a9 D0 [6 i;;与当前turtle的交易总次数0 j( y4 m0 @) d9 F5 X0 p
trade-money-total
/ k9 s! I* L' T;;与当前turtle的交易总金额: f: r& y& o* [2 h4 w5 n7 G9 M
local-reputation# U/ b$ B, t8 `2 [6 [/ i
global-reputation
" e! q& @* N% L6 f1 t' @credibility7 J; I, p6 J; ], _4 b8 |+ ~. y3 k
;;评价可信度,每次交易后都需要更新
$ n( \& h# W2 {0 fcredibility-all w& \; d/ {. k3 d T. _
;;a list of lists,由credibility-one组成。[[1对j的评价质量的评价][2对j的评价质量的评价]……[i对j的评价质量的评价]……],其中一共有people项,根据
* _" E* }1 R1 r2 J" N" K/ j, P! j, T' Y5 p
;;turtle的编号对号入座,对于其自身的编号,在计算用到的时候再进行剔减,初始值均为0.5
/ ?' c8 w$ \1 d$ K, y) O8 jcredibility-one
( `8 [) z+ v% s F+ P) V8 D1 M5 r9 S;;a list [i对j给1的评价的质量评价,i对j给2的评价的质量评价……],其中一共有people项4 k, z: `; F" Y' o9 ?; \0 a
global-proportion
: K l4 d" L" R! c+ j3 ocustomer. w, t2 X3 g' \: k" x5 M" |
customer-no
# A' `( g( p1 ? l& w& u4 ztrust-ok
8 X- M( _, M$ X: M7 s/ J5 ntrade-record-one-len;;trade-record-one的长度
" Z U) f' n' s8 p& t6 D]( i/ N3 k& t/ D8 \) c% m
& k5 }9 b% F) Y1 b. P
;;setup procedure
% X( X. P: L K. i* H+ i- ?" g2 N5 ^! \$ \$ f u
to setup) J# I6 L9 \0 W, `- T! \
% z) |' U3 T) C1 k1 G
ca
3 |+ ~( w$ ~- P2 j J% B: t" B: O( I3 S* y7 c5 m2 A' p
initialize-settings
0 r$ Q/ `" _: ?2 {/ p4 \' x4 I: ~' w/ m
crt people [setup-turtles]1 @! W: l% e! o5 ] U$ m& r
; b" q& G! p3 T0 o; |& v4 X
reset-timer g; B4 {2 r2 F; s" V
- {6 K2 m F1 I/ D n3 R
poll-class- x4 ~* C1 u1 ^) v5 A! M# \
7 J+ j6 w) y8 B& y5 E% `! T
setup-plots0 M: K5 a* R5 Q: M
/ p9 U* m, s% k
do-plots1 u( T6 O; b5 i. k3 c( \
end; `3 w2 }' {8 N8 s% u5 ~
# S6 i6 K I' D" sto initialize-settings3 d& R1 g$ W2 Y
5 w! t. q7 w* cset global-reputation-list []
. _6 O! z% d6 S, i# n( y8 N* s" q, a6 f- ` x# I, D
set credibility-list n-values people [0.5]* [+ k8 L8 b/ P
2 J/ Y& E# V/ fset honest-service 0
4 [3 @' D- h% F: b# ]
* n( M$ h4 Z# bset unhonest-service 0/ A/ x) i8 \6 f! [
# U$ i8 U( d0 R$ Y# j o& Cset oscillation 0
. h2 B) z! ]3 C# ^+ D2 p& A8 v; g
set rand-dynamic 0
: a$ N: H1 H) @9 J; O; q, {) {7 o# tend
# _+ y. R+ H- o. E- {4 _( O' `: s+ S- I$ s& w7 t
to setup-turtles 6 S" A/ O2 U r" e" I2 J
set shape "person"
0 n* P4 l, a J3 ^& Q$ lsetxy random-xcor random-ycor) e- L# R3 |8 u4 P$ i
set trade-record-one []
* j/ F; c% j, Q j% P8 M) Q( E, Q9 Q# e' ?+ B
set trade-record-all n-values people [(list (? + 1) 0 0)]
. ]. \6 W: D2 {1 w2 r" p E4 S1 V- e3 F& C; g' T, `
set trade-record-current []6 f$ e$ B( @$ n. @7 S
set credibility-receive []$ V1 A6 D2 e0 P# O
set local-reputation 0.5
# z6 E7 E& x9 R. Uset neighbor-total 0$ w# a n1 `1 ^* C+ f
set trade-times-total 0/ Z# Z7 I; W8 b: r
set trade-money-total 0& A/ G6 a( X: k2 S; `' H3 G( J3 V, | ?' w
set customer nobody8 H6 [/ X" H0 f' C3 h$ l
set credibility-all n-values people [creat-credibility]5 r, l- c' j. J0 _8 F
set credibility n-values people [-1]
) a; X4 }0 ]8 o% v% W7 p$ cget-color
' G- p. U! b- Q
$ T9 v# B }. yend
l, q; @! ^4 u/ t4 E7 O& M+ a
- f4 ?, P7 ~8 H# ? \6 kto-report creat-credibility7 S9 V3 x9 D4 j8 y) J4 o7 q9 r
report n-values people [0.5]- u, U/ h0 U8 |0 {7 C. V
end
* o0 \% j6 q9 L3 S+ t; @
5 E/ @ e* u: g. F+ |to setup-plots' }4 ^2 i: m* b2 u! T( c
8 h! C) c5 b; R' ~1 gset xmax 301 }+ e" ?2 G5 j) u1 d
! E b; I8 K: x7 H! W
set ymax 1.0) X" v6 E& V& A7 ]" N
: J9 p3 E$ `* S2 j. k9 k7 k4 |+ j
clear-all-plots
( @9 ]# Z! f5 } |1 u8 ]3 A5 d5 Y9 m( ]7 j+ |& _ c; ]4 O3 o0 P$ q3 K
setup-plot10 l) `9 s& e1 e' X2 ^& f4 Y' W I
% Z% Z) q6 S2 _2 M! M ^setup-plot2
: @5 V5 i! r+ p; r" I; R0 ~5 L- y5 a! R# }. q. a
setup-plot3
k V/ a# q7 }- p# T! _! E9 vend( P; ]1 h! {) d- w' w, S
, Q( x. G$ U% _) Z4 L: \9 R8 `;;run time procedures7 i0 f4 _2 T, w6 t( r% K
! f$ k+ P! M. D$ h
to go
$ g7 w( C; t# a4 O# w# m# o5 N5 K+ y$ r" @: h
ask turtles [do-business]
% L" p( E: Y. x2 xend6 |- K8 o/ I8 M
5 [0 X- X) E* _* }- e4 \) rto do-business ! D: |: f" V7 R% V& h3 W* }8 m
: h7 g9 C. x+ a. K$ Z
6 O' Q; e5 K, |: A7 nrt random 360' ?) O7 h) l0 N* u$ M; g$ x# p) d
0 R9 A& j/ g* o3 M3 v( V( Q) N, M
fd 1. W* |# T. N6 R7 i/ i" K
7 ^7 F# c- a5 P" e- mifelse(other turtles-here != nobody)[
. \$ b2 o/ J# m0 Z0 o
7 N' `* {( M; e7 U# ~set customer one-of other turtles-here* N Q; |2 u! D& L# b8 R
3 @+ I; C- T3 n! A! g4 G: p2 r
;; set [customer] of customer myself% i( w( b, D9 n0 Y& s
9 Q" V% M. P; y" E( G- Y# V
set [trade-record-one] of self item (([who] of customer) - 1)
& D9 @4 O& I w* [[trade-record-all]of self% U) S9 d) C1 o+ H4 T
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self1 ^! t8 F- i* j& T$ ^* Z( E9 Y
# i3 y3 v( q' |! k" m) Mset [trade-record-one] of customer item (([who] of self) - 1)' q4 n, A6 |5 w1 Z% E8 H2 r
[trade-record-all]of customer& R! H! g+ z8 y1 Z- a5 Q
2 b+ H& {& v+ w4 _! ^3 _6 r8 n
set [trade-record-one-len] of self length [trade-record-one] of self; J) h/ S9 F# e4 |1 i7 \ o" }
) c; H& p) ^# n/ u7 E
set trade-record-current( list (timer) (random money-upper-limit))
7 r* p- j, R0 Q4 y. f! r( {+ u; i) ?- W, p8 @
ask self [do-trust]( [9 [+ S8 n) e: ^8 G O' A9 g3 n
;;先求i对j的信任度0 v X. H( |, |) ]! Q+ L. Y
4 G+ ?3 C& d3 l: d' r& t' U" oif ([trust-ok] of self)6 }& o+ E1 d$ q- t/ H1 w( b
;;根据i对j的信任度来决定是否与j进行交易[
9 v! d) J) Q2 z# Z2 l: a9 r2 iask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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% Z+ O3 s/ w0 K) B* m* o" A4 {[" p- V$ _% _+ }+ X5 R5 F4 W$ A+ |9 `
/ ^- b4 I: y- Z6 W! {do-trade. b% S" K! ^& O# a
( Z5 t2 |% l k2 q: P
update-credibility-ijl# k* u1 }& d/ S3 D, U- {0 A5 Y, ^
- x3 y' g$ @' i3 D; J) y# e$ P
update-credibility-list% {2 }6 d% f/ ], Y9 b
& R* d, R1 P! B& Z2 x) Z/ r: H: h
- v8 @5 L+ I( E# Bupdate-global-reputation-list- m/ N2 r' l: O: [
k% @* b1 m- M" Y" rpoll-class) O4 A. s6 P) X& w
# }. U9 l2 l; P6 Tget-color7 e- a/ A! Q4 o! u3 }4 T" b$ A- V
: G' g/ [8 D3 _9 [! | J]]
; T4 f. |+ t8 Y
" a$ r5 U$ D! j1 ~8 ~( z; K;;如果所得的信任度满足条件,则进行交易 E* @% { N6 N, ~- t
- I& C) w9 P/ ]+ [+ q) ]- r
[
f1 B- @& r4 m- y1 X
0 @" U' p" `% N! z/ D* Crt random 360% W2 b3 }, G M- z
1 @ C [% t, Gfd 11 ^: b/ q- `# _) `$ ~( n0 H
1 h1 G) ~0 G7 l8 N# i9 Q
]
$ R) c5 b) M: T& `' { ^% O5 W+ [ c! x( H: B, r
end
6 q7 ~. r* I& ^. ~4 z
7 p7 a7 E, r: n- F, {/ [to do-trust
4 Z% K+ _% c5 \set trust-ok False
2 S. h Q$ R' W2 I; G- H2 _$ j
M% D7 c) z V8 d* z; A, L% c& s: d! l8 \9 I
let max-trade-times 0+ l0 S- v6 H* _4 w
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
2 {- `2 u2 q7 O: r( q# h. Slet max-trade-money 0
3 G8 B& q) t ^5 e" C' L. v* ]foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]& T9 l D5 Q/ G
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
/ v) D; u. X0 l$ r. C' t0 m6 Y0 D7 C7 w
9 C( ?* ?: A g. O9 B* y
get-global-proportion
7 O5 F0 H' u u6 Rlet trust-value* Z4 J5 S( Y+ ]( r6 d/ j0 i# W
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)( h7 d6 d. D( _
if(trust-value > trade-trust-value)
3 w9 f: K3 r/ Y9 o[set trust-ok true]
0 a2 o' ?9 E' k8 U1 }end) C5 k, e d* s. r2 `
# |6 t8 k3 ~' G7 |' j4 _8 Y& hto get-global-proportion& k- p3 g+ M( w+ x
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3): |& f% M/ h3 V, ~2 @, }! \) H
[set global-proportion 0]
: Y0 W; t* i* G/ P2 ?! h; I r[let i 0) {2 b! s) V P( H7 |
let sum-money 0; _% G" z; }, m# k( g
while[ i < people]8 \0 x! y0 l# i1 W/ j8 i
[- d4 ~6 O; y3 H |2 e8 O4 O
if( length (item i* ~, _/ e. v: E. x W% P1 ?
[trade-record-all] of customer) > 3 )) {8 ]7 `$ I5 f! O
[5 l& M# c/ S* D, t- ~3 O
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
5 ^2 n6 e0 @1 r4 Y! ]2 u]1 K) [8 ^' d. E, s. {
], d: R3 }3 ?3 f; P( r( @9 t
let j 0
7 Z) H5 t+ g! l, F0 ylet note 0! m8 [$ J4 R5 ?4 G* |: \1 P5 b
while[ j < people]
, e& M4 ~( u! B- j( {% r2 \[1 X. n3 F- b+ d5 A9 h
if( length (item i! N% ^+ k ?3 @: {, C- U# w: R
[trade-record-all] of customer) > 3 )
% ~2 @/ ?* x- a$ `2 N' {+ i[
% }) b8 @. x/ @2 t! ~6 tifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)" @$ u4 b* n1 r% `) O* g
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]$ ^* X/ z6 _, w/ X+ K. g, ^
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
6 c6 q1 T6 k) J% W& N& E]" d3 l" g R2 W3 F& d, H+ j9 b
], h J$ \6 j* g
set global-proportion note7 x5 L# [; ?0 e* m
]
) @$ K% \* a' b* `/ w0 ?+ H3 Mend
0 t* `0 [& b: c% K3 w
) P# Q c& K* [( ]to do-trade2 n' m- B- K5 z' I* X
;;这个过程实际上是给双方作出评价的过程
( {/ b2 e& }: Y1 x- a& Jset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
% x" {$ ]4 G" T3 F2 [0 Aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价$ e t0 b; ^$ n+ S2 K
set trade-record-current lput(timer) trade-record-current `! f/ ` [* R" _- N+ f
;;评价时间" p) s9 L3 Z. R* u9 d% U" N
ask myself [
i8 E" v+ Q4 ?# zupdate-local-reputation
7 q2 K# f" O! }8 z2 a) aset trade-record-current lput([local-reputation] of myself) trade-record-current
! y0 Z3 H/ O$ T" O2 j- N' y& M]9 {5 R# D6 r h! N
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
6 P+ w% E& D3 `$ k, |( J9 Q;;将此次交易的记录加入到trade-record-one中0 L2 v: g, O6 b: J. V
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- e' G$ @* S' @
let note (item 2 trade-record-current )
& O, p4 E$ |7 o1 A% f. l1 ]7 qset trade-record-current
0 i, q/ M( _! S; L(replace-item 2 trade-record-current (item 3 trade-record-current))& S3 ]* [, P7 y2 }
set trade-record-current# C% f$ ^" V- _% o
(replace-item 3 trade-record-current note): z- e5 w& P# {+ H' M1 b
0 f0 A# I' g4 D
2 h6 y" E' U) s3 C# Jask customer [
' C. o5 I7 p& z1 W6 y% A1 Iupdate-local-reputation
9 G+ ~' ]; \6 I T+ ]) fset trade-record-current
- ^& ^8 m! n& I# s% C, x# m(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 3 G6 _# O/ n( `1 _6 C Z$ K
]
) u+ l/ w9 a6 j2 M: e2 D% R6 s) F" ~
/ J2 a; K4 L' kset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, g" w8 s9 d9 x9 L% [
' {+ A: D' V- \# I) t
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))8 q1 y6 H! u! b! ]1 G
;;将此次交易的记录加入到customer的trade-record-all中' C- E1 ` Y' h9 R
end
' C* n- e, t- g# s2 }8 a/ R+ I Z' |+ K0 _+ M: M
to update-local-reputation y6 O* v: ]4 U ^
set [trade-record-one-len] of myself length [trade-record-one] of myself
# u8 v7 R& J( H
/ [7 N! {$ G/ y/ h8 y# y
6 P( |- }/ @% R, R& {9 G5 @. T5 W) N;;if [trade-record-one-len] of myself > 3 : I$ d. C8 K0 P$ E: k5 [8 t
update-neighbor-total/ I7 |- X3 i4 V% T: c/ ?
;;更新邻居节点的数目,在此进行
7 \; x8 w& g* t8 b3 _let i 38 Z5 b5 o3 i. X; Q- ~- w- L
let sum-time 05 M8 h! e9 s9 F+ b7 w' D
while[i < [trade-record-one-len] of myself]
$ v2 O0 H. n, W[
: ?2 _) [- D4 z% s m% bset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
1 q2 ^0 E, `+ `0 ]9 \set i
$ x6 g+ x6 }( {! y0 ^8 M$ P( i + 1)
# m. y6 |' P) |: e( q]& W! N/ p7 n9 w$ a9 N- V" _ i
let j 3
! z! ^+ g1 }# j( Glet sum-money 03 k& |: u; O0 D- a
while[j < [trade-record-one-len] of myself]$ t& b5 V% q5 Y
[
( P) K. {1 t& _, Nset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
. R1 T [- n- S; a% z& [3 mset j
) @; t! V# n- P% O( j + 1)
, V1 w4 T* D& R7 t! W]0 ]* P# t" F# R# V2 i
let k 3
& f, L9 Y! p) R4 Z/ llet power 0
7 i" H, ^) p; S/ K& c# W8 nlet local 0
( V. K# |: A/ I! @* b' l) h! rwhile [k <[trade-record-one-len] of myself]
: `/ }( G+ k8 w \) }3 m) X[+ ^" Z1 U) V5 h) c1 M
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)
. `: _( T" S. Xset k (k + 1)' ]8 Z2 R8 t1 L7 }. F0 x
]) a5 G7 `6 @1 ?# f, S. q9 c
set [local-reputation] of myself (local)& `( U( i/ E5 G- M. y' Y" s1 F+ O
end0 L: v/ _. _; L4 E$ ^( ]1 Z0 Z4 z
8 b [9 z' r% U e4 A- V D' c2 s5 c) i
to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
q* g3 T( h' j/ g* x" I Q9 t0 }0 G! _2 F6 \0 ~
: g1 V9 r# t9 f0 m4 f* {: D
end
! i1 v7 f; ~+ w1 n3 H- G) a. g
$ Z& I6 F8 R; C. kto update-credibility-ijl
1 q7 X+ A4 q/ O) ]. C
( X+ ?$ R( r1 d+ W4 Z0 Y) B;;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。5 [' F4 D5 v( E2 u; `
let l 0
* z1 {4 _# ~! Y$ ^while[ l < people ]
9 L, A, `8 v0 a8 _; q: O;;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1 S7 H) f: x6 [( l% U: j0 U
[
' W& V- N3 X$ D4 ~) @8 \1 wlet trade-record-one-j-l-len length item l ([trade-record-all] of customer); k z' ~$ P; {1 O- h$ N- D7 N
if (trade-record-one-j-l-len > 3)
, N% a% j Q1 k7 ^2 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
+ L) [' S; f0 Q# B# x! P( o' E" Hlet i 3, _6 w: m3 J1 S; r! F
let sum-time 0
0 @3 }& c, ^: d+ J' Q+ hwhile[i < trade-record-one-len]) x- J& O: l% Y
[
+ O S" o7 y, x5 s' [7 J# @set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )4 t! ~2 s0 U6 c! G
set i/ n5 e! O. d! T4 k8 E1 k
( i + 1)
+ P0 E- Y' P8 O9 L1 u* Q5 Q7 ]7 c]
2 ~' W! K9 n0 |: X# |- dlet credibility-i-j-l 0; X- k% M' T% d* ]& y8 n* j
;;i评价(j对jl的评价)
( O- j% w W$ S1 L( Blet j 3( }8 b# J* T0 H& ^" s' P2 E# Z
let k 4+ W( h( c1 t: l2 g% N- m3 ?7 U; _
while[j < trade-record-one-len]; j2 z. z! E* c
[
! W1 g; e1 X3 U( \5 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
4 c! _/ V _: _; D7 uset 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)
/ H2 Q! y% v- M! e3 R* H( Fset j
8 H, M6 ], v; ~0 i( j + 1)( Z2 ?: j0 o% @8 O3 t1 ~$ |
]+ F' n3 h T/ a# f7 c' E- g1 r* B1 q
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 )), F( m: b, ~. l# A
) V9 f0 L" ?$ u' ~/ c+ ]
" A5 h* K. f5 S5 g4 f
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))8 a" }% }& z, U- N
;;及时更新i对l的评价质量的评价
/ f9 ~- m! T& p( H, Lset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]" b+ u" {" _' s5 _; J+ s+ r& \ M
set l (l + 1)" u% d0 u" M ^$ r2 g, q7 V9 \6 Q
]
; [: y" F* Z9 `8 ]% t3 ?end
, Z9 x1 Q8 y) f2 x
" f( H3 s0 X+ Eto update-credibility-list8 | j" W1 ^' z8 B! ?' k
let i 0
) S# A; ~6 |+ l4 Y7 q( Gwhile[i < people]
3 w9 n9 s9 A9 s& U+ _2 E* R[- T# ^4 d+ T- t7 s8 ?) D# ]* w/ ~0 a
let j 0$ n: A8 L. }. q' m; B% e) R
let note 0
: S7 D1 b G( ? q6 Zlet k 0
* b x9 t7 c2 {6 Y;;计作出过评价的邻居节点的数目
. W5 z# N1 C% [- ]9 ?while[j < people]
4 d m- U; H. f5 X" H: H' ~[' a! e7 p0 o' e# o; o
if (item j( [credibility] of turtle (i + 1)) != -1): x+ X* W0 v3 M* K! ? M- D" {
;;判断是否给本turtle的评价质量做出过评价的节点* E, a, V: H; ^7 t" a
[set note (note + item j ([credibility]of turtle (i + 1)))+ n! T* m! J5 [4 A9 b
;;*(exp (-(people - 2)))/(people - 2))]# b6 [7 t/ W7 X, K# l2 g- O
set k (k + 1)4 \4 z' S! v& b
]# X1 _5 ^( y+ M0 F+ m
set j (j + 1)" R. k; w' O6 k. j' s
]: s _+ r: f6 H/ T7 k
set note (note *(exp (- (1 / k)))/ k)
4 T$ D) j( W* Y1 ?/ kset credibility-list (replace-item i credibility-list note)
& i, }: q" m8 C1 P" D( Wset i (i + 1)" j" z+ h$ l1 ^" r3 s+ x
]
! J3 d) Y- C4 C- _end% t' W' ^) x0 J+ O: c, n
2 g: h) h% t& u9 j& s. ^' n
to update-global-reputation-list! z# P# c, F9 v5 @4 U. K
let j 05 d B" Y7 Z8 ^7 k
while[j < people]
# k, l |2 C0 M/ |) M2 o[
; L$ p! |8 d8 o/ k, l' qlet new 0( N0 g3 k% X( T2 I0 Y
;;暂存新的一个全局声誉
0 x- `6 B6 C& D; Hlet i 0& X2 O. j, w2 a# x
let sum-money 06 ~( F. v1 K6 T) [% {( f* V
let credibility-money 0
& N* }6 ]* P+ N7 x: Ywhile [i < people]( [ ~, [2 X* N. y% t+ z
[
& G3 o3 D3 l% S/ e/ U) kset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))' s% c% b/ ?; U5 E7 G0 ^ G
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list)), _. ?, L I: L+ v4 O h1 v" m
set i (i + 1)1 p4 ]* t$ G5 |# C+ p
]
' M" |8 W0 N$ h1 V# @let k 0
! [/ b) p' _9 \& ~+ clet new1 05 s# |$ M- T& K1 M3 O- l
while [k < people]9 d& g2 _! p9 ?0 B3 g) h
[8 @, @) t( d& I4 s7 K- y
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)4 F6 y4 K1 k/ h, f' A. L7 d3 y5 x
set k (k + 1)" P+ C. G8 f9 p9 t4 o
]
- c( h G- `3 Z8 f+ c3 A9 Q6 E( a) Pset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ; A6 t* H# I3 I0 ~" I& i+ `5 s! o+ e
set global-reputation-list (replace-item j global-reputation-list new)
& I" G2 a( U7 y5 q0 iset j (j + 1)! k# J% V/ Q+ p+ q; r$ N! ^7 @
]
9 Z+ l3 X( F% Pend7 S+ D8 s# N7 e% M+ |( W
' A4 V) e# G( R6 Y
* F% d6 e- b$ O* E6 E A |; {! s! y1 i; a3 I+ T! r
to get-color8 _6 _& `! z( p7 ~% V: B
) q7 h5 L4 W6 }0 E- k: J& ^; y
set color blue
3 y: M* @/ ` H( _/ C1 ^end
, a3 Z1 Q& T% B& M( Y4 X. a; l/ F( M
( @, {- r$ q2 M* v) Yto poll-class
4 H# J5 }! R' R& }5 A5 uend
( \; q! @" h( J9 ?3 R3 q$ M- j5 `7 h3 \! @ L& u
to setup-plot1; T0 J- Z8 Q9 W0 n0 B
( A* b& `8 c5 R6 J9 b$ R% g* k [set-current-plot "Trends-of-Local-reputation"9 |, C! N- z& M, ^3 p( A7 h9 { Y
( r7 M% l' L" N7 |# Eset-plot-x-range 0 xmax
( n0 Z/ F0 p! U* ]& t
! i# i8 t+ d6 n1 pset-plot-y-range 0.0 ymax
5 v$ u8 y# c/ T2 P' V4 xend
# M+ s/ l" q2 c3 G
7 P! O+ m; n3 lto setup-plot21 u5 Z8 z+ H' G5 x% ]6 a
9 n% p# n' |/ x4 Y, n/ zset-current-plot "Trends-of-global-reputation"2 Z3 p% v6 O( t& u: X! k- S
, t6 a" _ ~ o. G
set-plot-x-range 0 xmax) Q2 ]8 j4 \% X: e3 N; ~
! P+ r. B3 y/ lset-plot-y-range 0.0 ymax, v# p: k! M& \
end6 r' S: {; s2 H7 Q$ \8 y
D/ y% u7 J* b1 q7 y8 k9 H1 [
to setup-plot3
& e: H* |. {) f) c; h
' k! h2 t$ u/ f9 v( l8 dset-current-plot "Trends-of-credibility"* _2 D( p; p$ d
9 y4 u3 g/ @- c# S7 K! Iset-plot-x-range 0 xmax
% l; _. n7 s* w% o1 S! C9 W" d2 a% q
set-plot-y-range 0.0 ymax
6 i3 ^: C5 h( g3 w3 q9 H$ Uend
. i9 Y2 k8 ?: l1 v2 s6 `
! ^7 ]. x$ j/ M3 |% sto do-plots
5 _9 X& B( ~/ w2 tset-current-plot "Trends-of-Local-reputation"# o' m0 S4 t! m5 w$ g! [/ f
set-current-plot-pen "Honest service": S8 ?% a9 h4 m; v8 w
end
) s4 |* E+ O5 V$ E, G- o. F
! f7 {. I& y) k2 {5 @; N0 b[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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