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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
9 j4 n/ h9 @7 A9 ?- pglobals[
0 ~2 C4 y, n m4 e9 h1 o% Rxmax* F" G+ T+ I r- g2 n9 a/ `! T; _
ymax
: ^1 @5 D- X, m, y9 [0 N9 t& Oglobal-reputation-list
' ~ P6 z, J8 B$ I" u6 L7 `
1 Y' V$ U5 A. y8 i9 r2 d/ x2 t;;每一个turtle的全局声誉都存在此LIST中1 q! Y: X+ ^3 w, {, D
credibility-list
# A/ J) q4 i0 V% @: T; L;;每一个turtle的评价可信度2 y' o3 m7 m0 U1 p& a( A/ ^
honest-service% }+ [& s5 n! P/ C0 O0 B0 K* [
unhonest-service
) n6 | x4 G: `& {3 |7 T$ Ioscillation
3 H* F# L% {! {+ n$ @rand-dynamic
7 ?2 Y I$ z+ K& L% K]- Q- }( g1 m2 t/ {2 B
! k4 \. n# ?- i9 L5 R7 s; [
turtles-own[
* _# B: c5 Y9 P" ftrade-record-all( T% g0 `) ?" `/ m4 O
;;a list of lists,由trade-record-one组成+ F+ \$ r$ e! ]* {
trade-record-one
* V) l- o6 v% _ ?% k) P8 j;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
8 S3 l5 G: x3 e q+ _/ ^( y# F1 [7 m( b3 _
;;[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]]
, d$ T2 U2 v' C0 Q, F# htrade-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 c8 ?" P# H) H$ Gcredibility-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 |# j) \. K5 B, ~# u# U( [- B8 W0 ]neighbor-total
" _- Y6 x$ a7 M% d. r0 w# T1 @;;记录该turtle的邻居节点的数目7 B( \6 S+ m8 C1 W) u
trade-time
* J5 ^! f* e" J;;当前发生交易的turtle的交易时间
( L j) k4 H& ?" c% Aappraise-give
/ V, I; t4 G0 T3 N* f;;当前发生交易时给出的评价) @9 ?5 _* K; [8 n- R0 L
appraise-receive
: P7 I+ p' M! r- K; _9 _* [;;当前发生交易时收到的评价
( @% E& V: S3 b3 Zappraise-time- U7 p1 q1 d; `
;;当前发生交易时的评价时间
" z' X# W( U" ?5 R8 ?+ j/ Olocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
% l$ v+ [) o$ y% D: f* vtrade-times-total
! _2 O1 \$ W0 t) e;;与当前turtle的交易总次数
+ @' I+ i4 {. {0 d! Vtrade-money-total/ t+ [! ` P/ w/ d, z m7 q
;;与当前turtle的交易总金额
" t& {) ~7 T0 F+ K5 Z- plocal-reputation
$ L2 R% ]5 g/ A8 H8 I( q6 t9 ^4 o; Rglobal-reputation2 @* M! ^. g% t5 }
credibility& Q& h5 T r' M+ V: X
;;评价可信度,每次交易后都需要更新
$ y; }) K) J9 r3 ~: g! x/ icredibility-all
! I# _, K/ q, W# i2 D;;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1 V" c# G P4 p9 ^
" e; z, M! Y; l# y3 g& F;;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0.56 S/ f, J4 K( ?- J
credibility-one
9 I- W2 K1 M! n6 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2 _: ~1 N' X, {. g" D+ F
global-proportion/ J( M) Z: r0 x5 \# y7 B7 g. |! O7 @* M
customer
, v6 Q6 e7 Z- Qcustomer-no* M0 M0 j7 ~: T( x: ]4 N: } z
trust-ok& k' ]) A5 j4 y6 y5 h Q+ A
trade-record-one-len;;trade-record-one的长度
/ Q3 B" \' Z; T6 k, F* E2 f]
. r8 H0 W0 l0 c+ w7 R8 l. H7 U" b: u9 J5 Q$ X. |$ C
;;setup procedure0 d* t) j. E7 f# P; B2 c
8 U! q; J% ]8 ~6 R4 x% K3 y+ ~
to setup, U0 X$ ^5 G" }3 g
+ n/ R" t; z0 u0 B1 aca$ d7 Q6 R: V& |2 c
0 O5 \1 b/ ]8 E8 w( binitialize-settings$ l# k/ p) ~0 e( m
9 _$ K: r( d$ \" P) a3 V6 H8 ?3 vcrt people [setup-turtles]
; f$ z8 P9 y/ p# [( J- e* o/ T$ t, v# p2 N! B
reset-timer) n; Y$ c) s0 P5 H- `
- C7 T0 H' w( f' E; H
poll-class
Z8 Q$ ]% `8 m! r# @ b1 Q' V! [- L1 v4 p. O
setup-plots
+ \4 @) p* R5 `! X7 ]) I- v% G/ \, L* R- r
do-plots* D5 D& u% Y5 }* ~2 u) h
end
7 O' z. s7 L7 s! S& n ?, m/ `8 Y0 F* Y( W4 o
to initialize-settings) ?3 ~& o* v. w5 E- q8 b
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set global-reputation-list []
$ P7 A! q* G# ~& p/ p8 |; s+ _ f
. |- t7 T1 r& ?# ?2 S( j8 k3 s6 Hset credibility-list n-values people [0.5]# F" W7 \) {. [
: k. ~7 w! ?3 ], S4 }$ D
set honest-service 04 q) |/ d. q3 p4 @. G! k& n
( G- R. E$ x0 q
set unhonest-service 0
! j# y' Y8 r$ q
$ P6 t3 F7 _* ~8 S" V6 w; ~( Xset oscillation 03 }% j7 M/ u, V" o. m
/ F* x% A9 t/ I0 z* N& z: W
set rand-dynamic 0
) N! m4 `. [* y+ {: S. s* z& nend5 p. |( U( Q8 m+ j
% P, E/ }" k5 h
to setup-turtles , n% k5 y6 {3 t! S
set shape "person". r/ f& ?: H( n; ?
setxy random-xcor random-ycor
& H7 J1 B! \* p) f% W: Pset trade-record-one []5 N7 ~; W9 b# A0 y
. k( ~& u( h/ B+ z" t$ ? rset trade-record-all n-values people [(list (? + 1) 0 0)]
8 r. q$ C- j8 ^/ o0 ?9 Q0 @
, i8 S- a$ R3 V3 {7 \( \set trade-record-current []' k! v* e: d; f# K" t/ b- `
set credibility-receive []. S2 f& F; M9 W. o+ r* `9 F
set local-reputation 0.5
* Q4 f5 v% L( C* ^8 s6 S; lset neighbor-total 0
6 d& p* p9 F' o; S8 Bset trade-times-total 04 p2 U, K' `9 R. B. w0 k
set trade-money-total 0% L4 g) w) s- M
set customer nobody% K4 @$ D9 c5 _8 V7 O2 t$ v
set credibility-all n-values people [creat-credibility]- `( t; X& ]/ ^& o1 Q. l7 Y
set credibility n-values people [-1]1 t q7 g2 u7 g6 K; R, k2 X
get-color& ~7 y7 Y5 ~2 k
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end! f- g2 \' b f* S' _9 o0 O
( ?4 b% e; t. m; M2 V. J* M8 Eto-report creat-credibility6 z7 s( Q* }! x! c/ _4 b
report n-values people [0.5]
: v5 A1 P0 K' L4 _! {end
* y# J" h4 {$ Y' x* p; ~3 A* o+ C& @, r9 X& U' y
to setup-plots( u; o. l4 F7 q( ]1 i: w" n" D
* e; X+ W$ O: @& t+ Q: K
set xmax 30
1 F! i$ T' w5 D
; ]0 f/ X4 h5 Q% f+ W2 H3 x! ^set ymax 1.0
' ?4 F4 v- I. b3 s5 T' \: f3 v/ D% a# X3 D: Q$ U( D
clear-all-plots8 G$ B4 F( a- G8 }: }, E. Y( H- B
4 I) c) s. y8 S9 ~4 `2 Y
setup-plot1; o- s' D7 W: [/ w
! d- H. S/ {- r% _7 i
setup-plot2) r0 a, h' [( w5 I: D& Q
' _' A. K+ v: O4 |; H t, P4 a
setup-plot3
/ `( o! h' t7 [end
" ^5 T( [; I5 W8 y
/ }- e+ u X6 C7 E! V+ h;;run time procedures( Y; J7 k; ^' _# d j
. _ N Z2 j0 D' nto go. i9 U. l# `. M/ m5 G- M
/ T' x- z5 z$ `. `
ask turtles [do-business]
3 ^" B. {; }; `: L7 t; ^end5 |! y. F4 \- L; X9 s; F* J
: u% G' z6 ]1 H( i+ b) _* \
to do-business 3 h4 ~3 ?7 f3 K0 }5 D) J+ ^+ d! M" @+ x
# w* f5 ~( w- n6 n1 E' c" h9 z1 S5 h
rt random 3601 ~. _+ R9 F4 Q! k6 U% f
- A2 j/ b( r+ C. x( u! @fd 1
! w0 ]: p- p2 U" V+ v" Q6 Q0 ?7 O/ C" h% {
ifelse(other turtles-here != nobody)[3 R" [$ E- _& T+ N$ @) I
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set customer one-of other turtles-here
, ^5 }. Q# e& f4 A( j/ f d! U, ^8 z2 |/ ?0 N) C! t! d8 m7 h7 n' b! M
;; set [customer] of customer myself
; b# R# f. u* E4 d8 A8 n) m# p1 P4 A: L
set [trade-record-one] of self item (([who] of customer) - 1)
1 n; b& Z, ?: v j) Z[trade-record-all]of self
5 w4 H4 l2 G2 c g;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self z% K5 S+ R( U( m8 G9 }" o, q' l
3 C) m, V2 X, p7 Y3 vset [trade-record-one] of customer item (([who] of self) - 1)7 Y. ?9 @5 a/ A. e& Z
[trade-record-all]of customer
" ?) x6 H' U, [1 U: d
6 G+ G# W5 p& y9 _- ?( D; P0 yset [trade-record-one-len] of self length [trade-record-one] of self5 m. O7 |; K8 o1 |8 ~
! R/ H+ b p% j% iset trade-record-current( list (timer) (random money-upper-limit))9 T+ @$ q5 [: [/ Q( ]. G4 C* u+ x' K2 k
" F: t! M2 h/ B. O* Zask self [do-trust]# L2 B2 [: t% ~' H" M
;;先求i对j的信任度" |+ z$ m, F, F) e9 J
3 \. a4 k, } T/ q' G9 c1 D3 _0 rif ([trust-ok] of self)) f C$ D# X* Y! X' l
;;根据i对j的信任度来决定是否与j进行交易[
# X1 B. b; g8 y+ y+ ^ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself; a8 a! ~4 N# \6 a1 \" v2 G
/ K+ k& G0 y* I0 f* U u
[( j# D0 U6 b1 l; `( e" A1 T& D
3 M9 f6 ?' S9 t- ldo-trade
7 e$ h+ B8 R1 i8 ?* {3 g; ?) [. L) F4 T
update-credibility-ijl9 s Q6 w5 F0 H$ T0 d
) c1 }4 ]8 n# R4 r/ c- f# r1 z
update-credibility-list& V, F" n$ j1 i' {1 A
x' S! ?3 ^5 _( G
/ J7 \) k' X# A5 }; [update-global-reputation-list- ^7 L. s5 t# v& R
& N* Z" s: j* v* C+ d" U! K$ q4 cpoll-class, {1 _5 |' Z, q" D8 Z
8 s. `/ ^% x. T- U/ W
get-color% L7 n8 {4 g9 H3 ~
3 E9 x; C2 s& C* p6 z: f
]]
8 x3 W7 _4 m1 O) G. R& U/ d( ?3 p s6 D
;;如果所得的信任度满足条件,则进行交易 a& _: W7 W/ K( M" z2 O
; z/ N* X$ \/ t[% m" W, x9 }% [" S( U/ B
0 v9 s: g6 Q, l8 Z% L, vrt random 3602 [, c1 e: s. [6 I' b2 b: T/ I/ {
4 @: g' u( f6 t& J
fd 1
( q* ]: ~% ]* Y
0 u% k# i, e8 P$ e]3 d& T& X9 i6 o; M
6 [/ C! ~! w" R I$ v9 T, v8 F, I
end4 a& @' n! }# w
, K5 @5 ?+ E' j8 z9 l+ Hto do-trust ; V" q% d* P1 ^* A1 B N6 s: f* ?4 c
set trust-ok False. ^& F3 k t0 J
: q, u- n" F) [+ \" Z% t3 X! c; I3 ]3 ^
let max-trade-times 0
, }! a9 P: l# Z% p9 b: k c8 k. mforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
* e* j3 }$ a7 n9 n) ?( Q( G% @let max-trade-money 04 z7 B2 n R N; v& C1 _6 ?9 M
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]" O0 ~4 u9 d" D7 C4 D5 d
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
# g& }, w; o( u; i: C! l8 C
# M% w7 M6 \. `+ b7 z* o8 m; i. k7 [( j# ?# q* T
get-global-proportion
: ]9 u& J! e" P' a/ E' Klet trust-value
7 ?$ b7 G& [8 y7 `( E4 |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)
' N' ~5 b2 {% j% s1 q$ x* ? {if(trust-value > trade-trust-value)) Y* |0 o" T8 v' z2 D9 y
[set trust-ok true]: }) {, `: `4 _( M- g
end k- s0 `+ t0 |' X2 e
+ C* e2 Q7 O) Y# O
to get-global-proportion: X9 k( A! K: \7 K! D1 t
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3): G5 U4 W# ^; m1 x9 N( e
[set global-proportion 0]+ B9 K5 f" t: h/ x
[let i 0
6 b$ ^$ V0 b- ^5 j+ {2 W' E' zlet sum-money 0 L8 m. ? {9 \2 E
while[ i < people]2 Q3 O( i0 A( e2 p/ g. \- O
[" F7 y; u8 x' Y8 J
if( length (item i0 t" j. k! e8 `5 m' @9 p" S. k
[trade-record-all] of customer) > 3 )5 d" v+ g& @. Z% N
[
+ d+ t3 a" f. X' f8 gset sum-money (sum-money + item 2(item i [trade-record-all] of myself))' K. k. ]; Z# }; H/ U; ]1 r
]
* x/ _( k9 t, ?: }/ n% P]
7 p! a& n* M4 y& _+ M/ ^let j 0
. g# N+ A$ u; A% P! u: g, ^7 N, hlet note 0* \" F+ X- ^8 |6 H# ?+ z
while[ j < people]
5 g! s6 E$ g' o0 N( i/ \3 l1 v& H1 ][
2 I) R9 U7 C2 I4 ?if( length (item i
! q0 { ^: E; k/ I3 {[trade-record-all] of customer) > 3 )) B2 `/ H* c6 T3 X
[8 n0 ~: {" Y. n2 x2 W
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
. H/ H! I2 Z9 N9 [[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]. L8 r- `6 b0 P
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]' a7 y6 U; k( \
]
8 S' u# Z: ~. y, K% O]' E& h& L+ [8 Z+ z2 E
set global-proportion note2 I k b; C$ P
] X6 H; U9 |/ l# b% T
end5 [4 a* b6 B% T0 _- u: T
1 D) L b& k! l! F C; F9 T
to do-trade
+ r$ l3 i. H9 ^! }! y3 ~, t;;这个过程实际上是给双方作出评价的过程
3 O/ |: X: X: x- B0 [set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
. |! M. p' @# l/ w7 zset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价% h5 d7 G6 J( g4 H7 g" D! o) p
set trade-record-current lput(timer) trade-record-current: Z3 {& A; L: f9 m* y4 B1 l
;;评价时间2 z6 ~- k m0 _; g% |' _
ask myself [) z4 C: R* w7 Y9 {
update-local-reputation6 p' `2 \2 Y% z% V9 B; M
set trade-record-current lput([local-reputation] of myself) trade-record-current
/ V/ @3 T0 P% N2 j/ y]
) x4 R1 s% f/ z) f) J! Gset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself& V% W! T4 P& o& F6 a
;;将此次交易的记录加入到trade-record-one中& N2 Y& S2 |! X3 q
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself); a1 A$ g0 G6 h; f
let note (item 2 trade-record-current )' A0 M+ Y: _& |: T; q
set trade-record-current6 y; O% {: g: [ y7 O, J& E p
(replace-item 2 trade-record-current (item 3 trade-record-current))# j5 O% x4 i, Q* }
set trade-record-current
! B8 z# \; J p! k) F) C(replace-item 3 trade-record-current note)1 h u" E1 d9 O i, f
' l) |* }, L# {# Y* a( Q4 J
/ n( ]! w) ~7 `# c+ s6 N- Aask customer [ b. k* E, [: ~5 i, H
update-local-reputation# K+ n% J8 e5 D7 L
set trade-record-current
1 N! y7 U1 Z. }1 P* u! }(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
# x% P/ g. j2 N! B; U]
* R. L$ g3 K* I' n/ a8 |4 h- d& h+ X3 `( B
3 h, m* w9 k3 y/ lset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
- x. a! E5 i0 Y, D' o) C+ d& I( e' z+ |3 A) h
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ b' v# ^2 h9 F;;将此次交易的记录加入到customer的trade-record-all中
4 j; `# W9 G2 I& `! U4 B" u# cend* d( w+ W4 m, ?3 ^; N" V5 ^
! a3 B7 ~) E* m {/ i6 E2 @' d5 x
to update-local-reputation% G# U- K- \/ q8 l! w
set [trade-record-one-len] of myself length [trade-record-one] of myself+ V4 Y8 p" i& ^- d* h
$ F2 H' r0 ^/ G, d" s; Q- S7 j
9 N1 ?5 w, g d. q
;;if [trade-record-one-len] of myself > 3 ) u" @( e/ [% ~9 b: m6 w) p* n
update-neighbor-total
$ q6 C- k/ h3 X$ ~;;更新邻居节点的数目,在此进行
. v* F% A ]1 X) Clet i 3; |/ U; m% H) a8 R9 A
let sum-time 0
; c2 W5 q6 B- ?$ Kwhile[i < [trade-record-one-len] of myself]
- M: R3 s* K# r$ o2 B P, H: h+ L[6 [# v/ d) ]+ A
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
" \- A$ `3 q/ pset i8 Q7 m9 h" t+ m3 ^: |- j& n- I
( i + 1)
8 j5 h9 m9 I4 M, U2 E1 ~! O]* Z+ g4 Z( [0 v9 G$ v$ N8 g
let j 3* _' S! \" O) I9 ^* Q
let sum-money 0( g$ C7 L1 K/ X$ |
while[j < [trade-record-one-len] of myself]7 N' ]( t \7 X( \. ?# E7 P1 Z
[
s, f# ]: ^/ K: @ ^. b4 |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)/ D* T! B' y4 C: y" A+ f
set j
, ~* c0 T* [) x8 c6 J( j + 1)" r4 c5 C4 x9 W" T+ j
]' J- S* _8 O- I
let k 3
$ {: O# h2 l* z% ~: I5 e4 wlet power 02 a& N1 h0 ?+ G" F4 a; p( H; E
let local 0
5 Q$ k- c+ V: }$ P8 e/ ewhile [k <[trade-record-one-len] of myself]# A5 ~& J% A+ |# b
[( _4 p7 x; E$ n, F: g2 k
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) 9 V0 g) d( I7 b) J, G# `; T6 i
set k (k + 1)! C1 F+ S; R% V
]$ s2 S S9 U- U& o- S
set [local-reputation] of myself (local)
+ C/ a2 i. T9 S- Pend1 H( |. b5 R) i) n5 J. b; ?% p
b9 t; U2 Y3 b/ m% r+ I& k. \
to update-neighbor-total
) v$ f7 A( ^& f( C& s* P0 P) }% N6 ?
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]2 [1 g* X* @3 i; o( T5 r0 r
* P; h# h# ~" P9 r/ { j- b
0 ]7 U/ g& \2 Lend
7 i' I+ [+ g2 K: r+ o
- c: W q8 Q# Q9 Dto update-credibility-ijl : t) T: t/ b8 {5 `$ ~
5 p/ O5 _# P5 e7 D% ^- E;;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。
?" L/ |+ q2 I8 w+ p/ T3 o- Elet l 0) L t$ S# f1 q0 Z
while[ l < people ]% D, }5 ~3 D9 y& G
;;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 l* s/ b. d, w5 X5 L" S[! p4 x+ n" w* ^6 X. `1 Z1 }! _
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
z; r) d4 U/ _) T8 Yif (trade-record-one-j-l-len > 3)1 j% d0 n: }0 \" r' P! c; H& }
[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
`& S1 g/ ]! ]9 |$ T% F$ Z( E2 ]let i 3/ M2 h9 s% [5 D+ B& z. }
let sum-time 0
% f) u. F% O$ Twhile[i < trade-record-one-len]3 |5 n1 A | d( L; G
[& D3 Z: W4 c+ a; o) Z# B% Y" K/ N2 y
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )* b6 G. Y+ N$ x9 G& O
set i
, a% g% } p* R( i + 1)$ o' t( b4 g& Q* D ~% E
]
- i/ F+ a3 n9 ]* s8 C+ klet credibility-i-j-l 0
! G7 R7 n8 `0 \: V1 F' G; {! S;;i评价(j对jl的评价)
/ J) R8 ?* Z5 `) T) h' olet j 3- ]) O3 O+ r; J6 e7 b: ?
let k 4+ f" U1 H/ p8 k
while[j < trade-record-one-len] a F6 N3 R% T/ N, ]7 F& Q
[$ l" G5 b' B- X9 g' _4 u' t
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
) D4 W+ ~$ Q/ I% Y9 e3 Vset 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)2 a0 Q$ [7 t2 r
set j+ a: ] R i9 B+ r
( j + 1)/ ~ v- u4 l7 t, D
]: G( k" E' `& B, M* L
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 ))
! L& J- b; g# ^1 o. l# ^' J4 t! ~0 j i
, O9 n0 M$ v u6 l9 P. ?. Elet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
( E9 t) Z8 \. T" R;;及时更新i对l的评价质量的评价9 V @' w( @$ C
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]6 v- H8 j4 s0 j4 h2 U! @
set l (l + 1)( p+ X& k2 \# ^. I8 y
]+ v' g) w. z: H
end
4 D8 _4 `! h5 X" X+ e' [
) K7 v0 Z5 {& U: D$ s4 N% mto update-credibility-list1 x$ o7 G& h: r; I. C. N
let i 0
! D1 F. \! O$ Y9 }7 ?, gwhile[i < people]2 m* @; M8 p D) s# d/ B0 L" Y
[# {2 G( h# C' }( l
let j 07 Z2 D" U8 u" O( E
let note 0
' J! X1 S9 j9 ]! jlet k 0
9 D/ f) Z9 i/ m* [' };;计作出过评价的邻居节点的数目
) q4 v2 ^2 s' B; m: f, ewhile[j < people]( D p+ R6 w. A3 R: j3 r, \6 M+ S
[" w7 C w* @* u! J4 ?# c
if (item j( [credibility] of turtle (i + 1)) != -1)
B5 r" k( A9 _- L, A% R" ~' \;;判断是否给本turtle的评价质量做出过评价的节点
, K) b7 r. @ l4 q' b* [/ O[set note (note + item j ([credibility]of turtle (i + 1)))
) Q! G' t E9 k1 f) e ~$ A: v;;*(exp (-(people - 2)))/(people - 2))]5 {' P4 p9 T& [! b. `
set k (k + 1)5 l( V3 t7 W. @) h
]
1 b7 M! ], d X5 g$ Pset j (j + 1)* u4 w% q$ L# v4 g2 v
], u; Q4 H& s6 I: f
set note (note *(exp (- (1 / k)))/ k)- r0 s! U7 T! m1 U
set credibility-list (replace-item i credibility-list note)
# g9 Q( z3 a* R, d; l+ D' Xset i (i + 1)3 ~ ~( t6 x3 f" f' b
]
) d3 j. V6 k1 B l, I1 wend5 \" T6 \: A' h6 r6 k/ ?3 [. A
2 }9 R& u3 e0 O. n) z8 n6 H" U9 n7 E
to update-global-reputation-list
, o: [7 g1 J- ^let j 05 l+ `) D. Z/ i7 U$ C- m
while[j < people]
- ]+ X/ o7 g9 h9 S[
& e% i5 T1 w& V+ l. A) a: X4 _let new 05 n) W' Y- e) W% G3 M$ `) k9 F
;;暂存新的一个全局声誉8 D2 w/ @# Z8 A1 ?7 `# q- x2 [! c
let i 0
' o' s! @9 q" \" flet sum-money 0
3 X: y' j, W9 x, [let credibility-money 0# f% s- [+ ?$ E, q5 d
while [i < people]
# R) o7 M9 J8 Y0 h; G[1 M" e1 c5 U* o8 m
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))' P3 A: y' q( i# G) |8 p1 E
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
- P0 _' e' a; q* d) [set i (i + 1)' C# T7 t( M+ b# R
]9 A7 W: {6 X* z$ ^# t+ ~
let k 0 v0 y4 O9 i- p/ v" W+ k
let new1 0
7 L, U# m4 c- o: @+ ywhile [k < people]: k2 \; l8 h: z8 e
[
; ?* Y$ v( p$ [1 c9 n$ _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)
- E8 N+ f( }. ] W7 @ tset k (k + 1)
4 W! r) {0 _3 }% L9 J" J]: S/ s f m& y' o, t' G! H
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
: W* Z* _- x8 @) ?* Yset global-reputation-list (replace-item j global-reputation-list new)7 C" ~2 X7 o1 y4 [0 C8 T7 v
set j (j + 1)! U3 I3 x0 A$ I1 O/ t1 G" S2 E _
]
' v( ]2 w5 n- oend* L& F5 z" \1 X; W
' @ _6 J+ y* r
. d. ]2 A& A9 t, H! a
, C& V" K7 M4 i( b6 q
to get-color
. ?5 a' ~9 P8 a3 Y6 j ~" I9 x( e! y, ]0 w/ B% T
set color blue& |0 L! w* k# q% |1 n' E5 i) a
end
/ F& e: [1 ^- v: B, A( x0 O
# l. O' |2 t5 P& ?to poll-class
* W% }) ]% P" iend! K! M3 w: K4 y0 K
- l8 y; g: X' I' H
to setup-plot1/ }" K/ X$ T6 X; h, R0 y
5 v V" M$ F) j8 X, x
set-current-plot "Trends-of-Local-reputation". f; }5 D9 `+ N, \& e* L
2 s. U5 i6 T; \* C' d, z5 y; S
set-plot-x-range 0 xmax
( j" A- a: M# Z9 ~7 f, z6 C
: K" p% }- Q8 N1 A0 K! Lset-plot-y-range 0.0 ymax: ?+ ^6 v7 E! y* i
end% u* P* c/ d; V/ `
) w4 f* a' |& P6 p
to setup-plot29 M4 ?- d' N& C! e7 H( w
0 N+ n, v' q4 _" N Q
set-current-plot "Trends-of-global-reputation"2 D7 k: H4 K8 R$ n2 P( a+ s, b' T
+ d: H6 X R0 i4 _0 j* h$ V" Wset-plot-x-range 0 xmax
4 c8 I2 u7 u ?5 W" a) U% v) X0 ?* b/ b; i
set-plot-y-range 0.0 ymax
% {! {+ n- A$ c- G; {end
- h; b) [& z- J6 q3 O( A! K+ }" t' V- j; d
to setup-plot3
8 u4 `) d7 B: ~9 j- B$ g6 V$ | r& r
set-current-plot "Trends-of-credibility"% A# h; a* }5 J: Y% T/ O% d
% Y( G: c2 k1 }; |& O7 f5 q4 Hset-plot-x-range 0 xmax3 \4 Q9 R( @; r% n
T4 R* z# b9 R( f0 v6 Qset-plot-y-range 0.0 ymax
1 ^- g, \* [3 ~2 ?; M& [ x" Eend
! D3 R- I% x; p7 l& x! N! Y0 S4 U* S0 e& O/ W
to do-plots
- n) Z" ]; ~4 A5 }' A }2 _set-current-plot "Trends-of-Local-reputation"- o( J/ h6 R; ~% F( k7 |: V
set-current-plot-pen "Honest service" ^: b" ~' e5 Z. B
end
/ n8 }7 h7 @1 m# h( R9 ]% B7 z; b8 ]0 }
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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