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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& \& _$ f, y) _! `. O' B: U
globals[
7 _/ E7 C6 Y; ]3 l7 i: Lxmax
5 k/ v @- V! e7 e- |( `ymax
; l5 w4 i. }& H1 vglobal-reputation-list
* m: P+ q' c/ E3 y, F& F' x4 |) h) |+ R2 i+ M" h
;;每一个turtle的全局声誉都存在此LIST中$ V7 g# B, O/ j" @- u
credibility-list* k6 M5 B; ~/ }. V$ c# }$ s2 @
;;每一个turtle的评价可信度
2 {$ q6 S8 R- _: Q1 P+ S5 S/ ]/ ohonest-service
( z0 ^! C+ x$ X1 Zunhonest-service
5 J& c, _8 f& }; u! r" N9 voscillation
3 ]; V# T* r' A4 ~2 Crand-dynamic$ {, j, S3 n% E. Q+ z. N9 c
]- S. ^8 V8 d) x( }' k
0 Y. b3 E" I: l: a( p+ b6 yturtles-own[
: J( e) u. x) n# ?" k: e* ftrade-record-all
$ X+ w7 H1 m: V;;a list of lists,由trade-record-one组成
8 r- B7 \& s* I, b. F9 ?! [trade-record-one
2 }$ i# T3 q( U5 O;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
\- p1 A K$ Q" p- ~) L4 z' ?2 P6 m3 o+ j* \
;;[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]]# D3 {5 i0 H3 `, r* p; C2 A/ T
trade-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 X; m# U6 H4 Q3 b/ F
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
" w; u/ E- p! ?- fneighbor-total
& W% Q, |. g k U* y# g- h& O;;记录该turtle的邻居节点的数目
1 C- D: W: G! U+ Y& ~6 a7 G- Itrade-time
6 p$ |! J# F& J% o1 J' `2 A;;当前发生交易的turtle的交易时间
4 c/ a7 ]0 F) X" {* n4 w7 Eappraise-give, A: a6 M6 O; T
;;当前发生交易时给出的评价
( C* X- r1 e, wappraise-receive4 w; Y7 Y' E( O }4 y4 y
;;当前发生交易时收到的评价2 G. X7 G2 s# o- X' g( P; ~* u6 m
appraise-time$ ?- [$ F: L- Y/ v" O
;;当前发生交易时的评价时间
4 S+ B( k) {7 r* K0 g) H+ Llocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
+ Q3 @- R( p0 ~/ Utrade-times-total
, |" Y* [, X& Q3 ?; m# _;;与当前turtle的交易总次数) @! W2 l- c/ R+ P6 g3 M4 |
trade-money-total, T$ |. \- c0 r9 T/ _, K4 G2 Q# H( c; O
;;与当前turtle的交易总金额9 s/ f0 i# m# J& |7 h. N6 l
local-reputation' D! g( W1 D: \$ f
global-reputation
% Z. h. Q9 i! p* l: u$ x% Ccredibility9 {3 b; e$ O; l$ i7 z9 I# G7 D, z+ S
;;评价可信度,每次交易后都需要更新
" Q/ D) G; N" b7 _2 ^0 p: Z' Z3 Tcredibility-all, r. f \0 [+ 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
' ~: a3 E I2 G8 G6 |8 `- Q, G9 e. r$ J+ h2 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
6 t2 S3 W+ j: Xcredibility-one
9 T/ u) T* S' f7 E! E7 |, N ^3 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, Y7 _. ^1 U; X4 E6 Y- G
global-proportion$ z+ h+ H; H3 U& Y5 M5 P0 s
customer
6 A3 @; C4 ^& {# I3 @+ [: @* Ycustomer-no
6 P0 J5 o: B) v! }trust-ok! k" r( Q7 D* T x9 @2 [
trade-record-one-len;;trade-record-one的长度
- [% z" I) G" i4 S/ b n]: q$ Q; W( e% Z% a( `/ d. d
% T4 S0 M: f2 Y0 X5 ^
;;setup procedure2 I0 T9 U4 g1 D2 k/ F3 j
0 _8 D' F/ b. F C, Lto setup2 Z& A4 i! ?5 e* X+ V8 b% a
6 P7 U9 S3 y+ u2 Uca. J& b' m! y7 A/ H" L# V/ M
9 N* `2 G$ z+ N* ~; Pinitialize-settings, `, Y7 f3 I- Q
, ?2 W4 Y" g. r* o: L) F
crt people [setup-turtles]! q- ^0 F/ u4 O0 C9 Y3 B
9 w$ u# y$ P* q* {. c c; Treset-timer
8 O* D7 o- Z4 Y; B6 s
& F5 T- }. U( e9 H3 N9 c* b3 {poll-class
' |- M$ R4 J8 M1 }0 g% J, o' B3 O
8 a3 x7 T& \; c- O+ _7 Wsetup-plots
: H2 ^ a& D) r
+ x1 b3 a9 I( ^$ l+ O9 K$ S3 O* sdo-plots
7 B6 f/ s Q ~% W5 k4 {end: Z# w: a2 q" ~
% T- T" ?8 y( ^9 ^$ Fto initialize-settings
" c( R' z2 l6 }
- H1 |- `) F8 u, jset global-reputation-list []3 E: P; ^ r& u }# f, e4 [& S' X
- E, J# D G& U1 S7 V6 `3 L
set credibility-list n-values people [0.5]( s4 n, h$ m3 O- X9 i
4 Y. a) y( J: U; d9 @# E2 Sset honest-service 0
+ D- a0 t ?* @ K
) v7 |$ y- ^" O' e+ h/ K8 f$ xset unhonest-service 0, D5 v# ~! ^+ e! Q# h K
# L# V7 ~6 ^- `2 Vset oscillation 06 L5 s, K/ j: L) N! s7 E
0 d0 H b5 k) Z* tset rand-dynamic 0: z. D5 x+ Q1 l' T* k$ r
end
Z( |& [9 o# s3 M9 c, N& o4 o0 G3 k
to setup-turtles
) S) Y2 Q) l$ W/ lset shape "person"
; G2 V( E% _5 m! psetxy random-xcor random-ycor& a3 R; c* U- W! [
set trade-record-one []
4 r: s/ }* [5 K
0 k+ i4 E+ w+ Dset trade-record-all n-values people [(list (? + 1) 0 0)]
; S9 }% l1 v/ S8 f- f! n
' t8 c4 A% h2 H1 v6 `7 [/ P& wset trade-record-current []$ y$ \" u2 U$ \9 I
set credibility-receive []
6 R; E( V4 l7 U; G! {2 eset local-reputation 0.51 y, A2 h1 T4 D/ `* G
set neighbor-total 0
! ~' F* H: g( Z2 ~set trade-times-total 0' L* Y" H; @9 Z1 {+ }
set trade-money-total 05 l7 h6 g w g
set customer nobody
8 @+ l: d1 i( W# `% W" @9 Cset credibility-all n-values people [creat-credibility]
- C; N+ e$ n: m% l% I# M1 yset credibility n-values people [-1]' K9 |+ L" s( k+ Q
get-color
. M+ Q5 u0 Q/ |9 i2 g$ Y
# j! n7 d0 }! H' w5 S& T1 rend! K4 ^' N4 N! @
6 t- |" d- n/ F9 ?- x' n5 h+ G
to-report creat-credibility( a1 X% R. J+ ^, o) s8 f( r! ^
report n-values people [0.5]
5 o3 S) r0 g o* L/ w7 J, |end5 ]+ j! C6 ~% E4 `1 Y
3 \. U8 K! Y; l, `, h" {7 d/ `to setup-plots8 X) Z- ?. U4 w# {+ f( }) P0 e/ Z6 Y
8 c2 W4 S" e2 Y' u4 l# vset xmax 30
2 A" v+ h/ c1 K& p4 ?, K" d! h. M
set ymax 1.0
) h4 ^ f) x9 [8 D( n i* ]3 d, D
& E3 ~2 H6 E7 E1 Dclear-all-plots5 M8 F) u# u H3 _6 _
' E1 Z8 ?3 N. F/ j0 v3 Wsetup-plot1
$ R0 Q- I4 N8 A! |. V7 r3 B3 S# Q/ M: ?! d4 X+ N- ?
setup-plot2
& n9 i9 ?: C% d/ U1 c* Q% s$ f' O; X6 {3 N
setup-plot3
i' F! ?3 `! k$ nend1 t0 N1 L0 D8 R" P
$ Q9 Q/ i. F8 I: H, k2 A7 h; @;;run time procedures
" Q: G& p, ]% N% e
+ M2 L4 P( i& U) Jto go
6 h1 \4 O. ~- k) z8 F' x3 r# N5 J
4 |; X. ?0 v- U' T7 Nask turtles [do-business]0 v) B3 G. v4 V' b( L
end
! }! Q* t% j! b! c$ h0 B/ k6 a
to do-business
F1 |0 G3 p+ e! I, G2 q/ y h4 j7 ], g& O) t# F5 S7 V
. Q9 f* g: F! o4 O
rt random 360
2 m6 g) ^' H& B- s5 _
; c; y8 M& O, t: a* G# vfd 11 V# B7 z) z1 B0 g/ p; O0 E4 x
* }1 j+ b- B0 }, q1 f+ d
ifelse(other turtles-here != nobody)[6 e8 w8 f' i) Y( f* m
/ m2 ~- P3 Y3 O
set customer one-of other turtles-here6 X4 ?7 _$ V7 }5 N: g E" T6 V) D
. I& I* W" x R6 h+ k; o;; set [customer] of customer myself2 l3 G: x2 Y% W: R) x
# |- \" a* p8 |3 f" M: j
set [trade-record-one] of self item (([who] of customer) - 1)
, {' W! ?! |; z# t! H. {- d[trade-record-all]of self# I7 }6 C( W3 J. j0 H: ]0 w
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
" d. @7 I& B1 p r/ @$ [
" c3 F+ D" B; V: v3 K8 b8 T2 p7 ^) b. Xset [trade-record-one] of customer item (([who] of self) - 1)9 N( S4 T( P! W4 S( H
[trade-record-all]of customer
1 M$ u0 i# x& s* D/ P% i& v
5 a( L' {3 s8 a$ }9 p4 T$ l7 Oset [trade-record-one-len] of self length [trade-record-one] of self! d! n3 H' |/ L. @) w" t, l
. [/ v+ d) Q s! a4 cset trade-record-current( list (timer) (random money-upper-limit))
4 n! r, \9 `- @/ m" S
5 U& m& k. x4 X! y- r) {+ |ask self [do-trust]
# h( J; w/ {5 M; `2 }" ^;;先求i对j的信任度# n' X" Z8 v3 \# U& V9 e+ m
3 {, _. |7 i* N' H& s) K( cif ([trust-ok] of self)+ ^- V+ @6 K9 h! t
;;根据i对j的信任度来决定是否与j进行交易[5 D M; F' K2 I' w2 F, {
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
+ N- g; p' K+ O t: U
- J; G6 r1 X( p[
% N# W. ^- o o: E. I- f$ v+ S* C1 r
' A9 z# o3 y6 V, a; K+ @' }do-trade# Q9 A) k9 y0 g
4 O/ t8 D7 Z1 f# E8 i* Qupdate-credibility-ijl# F. Q2 D! ]; N6 w4 l
# J" Q) \3 V; i/ x/ iupdate-credibility-list+ Y, d' E7 B( }
: z7 N- l1 y7 ^2 ?/ f
6 L/ }. a% o& i3 V+ uupdate-global-reputation-list9 U* S r$ ~4 r# R
" G* l* {% O; r$ K0 p ~poll-class) B# \7 u6 g7 U9 T+ S
- X+ I, s8 S: q' E) `1 E" L: s8 n% {; z
get-color
5 r+ V& { s9 R! l$ u3 C) L
, _1 ^/ a# z1 b]]
. z; K) }3 {' A: @6 T
9 ]& i, I" ]/ v( a. u, [. v;;如果所得的信任度满足条件,则进行交易
% X' }+ a+ Y% V. C# c3 u' Q' Y5 U, R: ~ M# Q. L
[
" d; f! @8 T5 I' f9 z. `8 a" }3 }" \/ y. H" q7 M# m
rt random 360& N6 N! N4 Z. p5 Q; E: U
: U Q" S" {. {4 x* k! X8 u, T# ~
fd 11 n s" l% J9 P/ a1 o' u
) B8 J& Q3 w" q- f1 r7 a]
/ v0 d" @) U2 T" y2 M' {+ L5 @8 ^' o. u: N( X Z
end" N& V& o7 [. Y2 [1 X* R" ^7 l
. B3 d9 f7 n6 C0 T: c: X- r
to do-trust
' m) o& u' C5 P( L4 B' j; Pset trust-ok False! x+ F4 W+ G" V
8 f" {0 G$ P% Z* {: S5 F7 b2 x1 [$ P) _! c+ k# R
let max-trade-times 0
( Y+ M! E8 h Z. Xforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
8 w! V4 b- e' h8 m% dlet max-trade-money 0
7 G. R0 @* s3 K8 A& K9 Tforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
o2 B% p3 t3 F( H6 z/ R8 K2 S' B) Ulet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
/ b5 J5 _% c3 l1 _
$ R: _# J/ D0 ^' }" M' W8 r! k) W
get-global-proportion
2 j1 G* \: A" U% p: u glet trust-value: s" d& i, w- W! h3 L# d
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)
$ Q& H j; `- y- k4 O5 D0 S: N0 x* ^if(trust-value > trade-trust-value)
1 n5 Z8 q" D2 E* K8 W5 K[set trust-ok true]
( y% H3 U6 ^. q. U4 l- q' vend" I. M; H5 F: P9 v: D7 h
( U9 E0 Q) P( W3 Y4 M+ ]
to get-global-proportion" f5 g' z$ I, j; k: x( d- ^
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3). e9 V- _" _5 z; A
[set global-proportion 0]& r, o& K8 d, J9 ]4 q
[let i 0
& A, J- V, ~. L( ^! e5 _; Wlet sum-money 0 c1 Z( o1 ~: @- t) y5 R5 N
while[ i < people]. {4 Z! ~; |5 m) q- c
[
4 i$ M2 D, @& ~) v" K9 r1 ?if( length (item i
3 i- r4 s0 M8 E: `) Y S! n0 G[trade-record-all] of customer) > 3 )6 I+ V, u; |0 S+ L
[; N: a" e1 y, s; P4 f) g, _" g
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
$ B' T8 d( f1 S: W]) Y3 A* p! M* S& s3 c) R
]
$ r, H) n2 w" A2 A* C; Wlet j 0
# j3 ]) q+ i7 wlet note 0
, v7 e/ S' l9 Bwhile[ j < people]
9 J7 q. T" Y: a* Z& a! F[
3 D3 t6 L/ a9 d' j- t. {, H* Y. c4 Qif( length (item i
+ G% [* P& P- {" Y[trade-record-all] of customer) > 3 ), _* M$ Q: c% Y t
[8 b( b0 Q) c& E5 t+ h
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)2 k# R3 d8 {$ @2 _
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]; |/ m+ E8 ~: @
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
3 m3 `1 g( @! t4 {! B]
5 S) g' @" s. R3 _+ l]: C- E# s/ n' X; B {9 O4 X
set global-proportion note1 G5 z5 Q2 D% i1 k/ ^$ @2 C/ ?+ s _
]
* e9 r7 I( M9 ?" `8 T- Nend1 Q' R! U% W: K: B' G7 j! v- Y& f
' h5 }* t9 `& w
to do-trade+ D) D- e5 q5 u/ R0 G) F
;;这个过程实际上是给双方作出评价的过程
! V& t5 I4 q# Y* f O, i8 Z% Wset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
/ G q( ]3 E. g$ [& r# e7 @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价 q* l0 |1 E* M/ _) n. C# v" k2 _+ p
set trade-record-current lput(timer) trade-record-current! S9 N0 x8 S+ M+ b% S- v
;;评价时间
6 J* m' m w$ s* rask myself [, H$ z! Q/ b. E/ q3 ]- R( P
update-local-reputation
- f5 b! s+ T2 r3 f0 ?set trade-record-current lput([local-reputation] of myself) trade-record-current
" G: V- K$ a8 [6 T]6 K0 ~! E z6 G- _- U
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself" s6 R3 d9 J& x
;;将此次交易的记录加入到trade-record-one中
+ G8 T- ]( H' |: rset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)% G7 d4 w8 M) Q; ~
let note (item 2 trade-record-current )* M C" \. N" n
set trade-record-current
7 x0 @' l& j3 {(replace-item 2 trade-record-current (item 3 trade-record-current))
& [" f; F. Z5 tset trade-record-current3 m9 r8 k; A$ P# p9 x8 \0 R G" m) ?7 F) ~& y
(replace-item 3 trade-record-current note)
`( J1 x* Z* o! G. n6 a+ a9 {' C, z! g7 T( p9 x; C% a
/ U, ?2 Z7 t- \! `& s$ Zask customer [6 z4 x; z; M4 P' [; L% g% A
update-local-reputation
$ J9 v$ r; I; B5 |) \set trade-record-current
6 f' M3 B* I3 B$ m(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 1 H1 l+ Y& t8 U! d' `
]
/ ^% B! z* Z# x% l: H- u* @, u, k
6 r) t% Z6 W$ I4 |: a y7 f1 A4 b" G7 S
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
1 l/ p$ Q5 B" [3 ~
4 p8 [4 N! X3 b% `6 Zset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))$ T7 ~ b0 ^7 ]% b5 K+ m
;;将此次交易的记录加入到customer的trade-record-all中 p B% C; F1 B% ^% x8 N# W- n
end) F4 m7 ]- c3 F" H0 k f2 S
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to update-local-reputation) `1 c* b# u0 Z8 @4 S
set [trade-record-one-len] of myself length [trade-record-one] of myself7 B3 f8 \; S5 o
# y5 @" ?/ g1 b6 E
/ N: Z$ y' J+ [9 i% L;;if [trade-record-one-len] of myself > 3
7 I6 ^0 [8 ~, Y; P; N ^( uupdate-neighbor-total7 v9 z( c. y% A" n' i# F
;;更新邻居节点的数目,在此进行
& l: D1 h5 Z# D& U5 [5 J7 m6 Ulet i 3* d( D( w! `& P" M- m0 R
let sum-time 0: p0 s, q. d& b' Q7 t& j$ T
while[i < [trade-record-one-len] of myself]1 L1 P1 D0 Z7 m% |6 ~2 V
[
! ?2 E7 |5 m/ Q9 J. Yset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
8 [+ c( l# m$ D" Kset i+ a7 F# t5 j9 |( R2 X
( i + 1)
$ M( Q+ `3 I6 m3 B1 a$ f]. t9 @/ f; f+ ^. j+ t+ T
let j 30 B& e/ i% ~) U( Y5 H
let sum-money 0
7 F' y6 c6 a6 t9 L$ u) Owhile[j < [trade-record-one-len] of myself]
3 ]8 S/ F: ^& W# D[0 A3 j" U, B; q D: ~0 l& }+ z
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)( P! P' }4 v' K5 S6 M* s0 U
set j
8 E; o7 G2 ^& g2 O3 H0 S. p! R( A( j + 1)4 Q% P) l1 f' J" V/ \
]
# X4 Z! \. S; I& y \6 f o- Glet k 31 \" U9 k3 p$ H/ M% l, i
let power 0# }4 D% ~+ J* B3 y W
let local 0
3 w; _0 V. U2 Z# Dwhile [k <[trade-record-one-len] of myself]
* g; g1 e% S8 D' D( T( b[
% b8 d0 \* {3 kset 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)
) s- S+ ^' m; o# c i( cset k (k + 1)
$ F7 P( O9 W, C- n]
?, B" h& c& s! Q8 aset [local-reputation] of myself (local)
; N& K" o% ?4 L2 M) Gend! Z, x. i8 r. a( u' H# f
( M% |1 ^ M; E$ e. B; e' N1 ]to update-neighbor-total
8 k1 b- V E8 J: }
2 `& N0 A1 ]5 `, A0 ?if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
' ]2 r5 m9 M, h% o" O
" @7 K" _+ w3 Z3 Y9 Z) W! c% o
6 t8 F. P, L9 k7 d6 Q: Xend- n; M" J- m. A2 p
6 S h5 ]1 m: J4 h/ F' Mto update-credibility-ijl
' o' r! j" G% e
5 r/ j1 y7 `) n. K" w; c/ Q- f( L;;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。
0 `( Z/ S& `' B: ?2 W, ]0 R/ Ylet l 0
% ^5 Z( ?) n3 U0 \( Uwhile[ l < people ]! W# \$ I/ U6 ]0 P% F4 y! h, H% R
;;对j的邻居节点的trade-record进行扫描,以对j的邻居节点的评价质量进行评价! s+ }! ?; s7 y. ]( o
[
- {) J. P. Y9 O9 z: R; Qlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
/ `8 N6 K+ t. ?6 a% C9 C% zif (trade-record-one-j-l-len > 3)
- n/ i3 @0 d/ o3 d[let trade-record-one-j-l item l ([trade-record-all] of customer);;暂存那个评价质量正在被评价的turtle j的与l的trade-record-one
9 A3 ]( c1 \) G: \! ]let i 3
& \+ u" P' G5 t6 c7 hlet sum-time 0
& r7 O% x& S0 i8 w- P c# ]' b3 \# Dwhile[i < trade-record-one-len]& X: G( c2 x# c |
[: S5 e1 C! T9 t1 y6 d% _* u0 [
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
; z4 V# p# a1 |set i# t7 j# B0 e- Z! g
( i + 1)
6 B' p, u+ K3 t]9 |! U: W3 P | J9 _& o3 w
let credibility-i-j-l 06 }/ G. Z) f) M0 C) D" n. V; w8 W
;;i评价(j对jl的评价). M7 u- P7 m/ R2 N
let j 32 y& c: Q- Y( K7 I" ~1 r
let k 46 H9 `' Q2 W+ t: u. M& J/ z
while[j < trade-record-one-len]
1 E' ]% c5 W/ L# G7 m8 i! _[! C7 d K4 G3 q9 V
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
1 B4 U3 D% s; |1 o8 s8 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)6 }9 z2 `3 H5 J1 n% \9 p+ b
set j. @, S( b. Z: _! _0 A, n
( j + 1)
" W; u/ x0 U! V! H- y: }+ R2 h]( N8 `' g- \$ e: ]- i& T5 ]
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 )) r6 q9 h$ x( Y) N# p
; r0 e' }! ^- v4 a8 d) E: m+ }# o- U2 I9 R
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))- h3 w4 D" L1 Z2 K8 I
;;及时更新i对l的评价质量的评价
1 p$ [, }1 H( x. }( Bset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
7 x' v* n- r \/ o! h3 Hset l (l + 1)
. f8 A7 X3 N$ k ]- E- ~]
9 T3 ^) m4 i) {) h8 \end
( v$ Q; j" x1 y; f( ?6 R4 c) Y3 Q' I4 a" A5 d) r: Z
to update-credibility-list2 B7 a: w+ q5 |: N; g7 g( B
let i 0& E) [* }3 a! ?- S6 X( h0 Z) W, f
while[i < people]
4 |9 d/ y, ]4 @( F! f[0 k6 u3 V1 C- j, r! D
let j 0
) b! A" ~9 c8 I- ~let note 0, i2 G. N* a7 X
let k 0; Y1 t- G3 X. u% [6 T. ]
;;计作出过评价的邻居节点的数目
* E/ x; n, c% ~, n( _' \1 F4 ?) wwhile[j < people]0 p3 x5 Q* R% W4 S! k
[1 N; `" d# V3 e* X% N
if (item j( [credibility] of turtle (i + 1)) != -1)0 p( _* `: }( [- L6 Y# P! B4 H
;;判断是否给本turtle的评价质量做出过评价的节点5 e: C0 i/ }8 X! y. t& N
[set note (note + item j ([credibility]of turtle (i + 1)))
5 K/ n* X6 O9 e$ e9 z;;*(exp (-(people - 2)))/(people - 2))]# q4 T2 k* U3 g% i- E
set k (k + 1)
1 b2 x: f& \7 ~4 y]; y2 n; G. p- Y5 R- O1 f0 ?% s6 u
set j (j + 1)8 L$ t% C+ }1 v% R- d+ y
]! T x. W! H0 \0 y' S8 }( ~% n
set note (note *(exp (- (1 / k)))/ k), u( p5 u& p+ S3 E3 n2 |
set credibility-list (replace-item i credibility-list note)
7 q8 L' F3 v" ~9 F: Iset i (i + 1)
, n# K/ n& g" G: |]
' p8 G+ ]3 \+ q% P1 T0 Z! [end
4 C# }2 e# U7 q4 \( [; k; o! x5 y3 g, h5 u& j* s/ o" _. f. ?" r
to update-global-reputation-list
& q, S; @; h9 ^- F% u# L1 S& xlet j 0& a) S. `7 m: S: D6 Q; f4 ]
while[j < people]
, j/ C3 b# d7 w1 z[
g# V3 j" ^0 C' r3 s9 }let new 0
+ }; E' k8 R, j2 g( s8 `;;暂存新的一个全局声誉
* u B8 q/ ]) {1 C* `9 qlet i 0# c: H3 [1 P0 P1 U9 R: g* o5 ~
let sum-money 0
4 T1 x! W4 S' |" L' L9 Alet credibility-money 0
6 ]( j8 {+ l# q% x5 H) \% P/ l4 g. [while [i < people]
) }! h& G* ?! M v0 O* g[2 `: E7 @2 i+ x3 M/ H
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
! M/ F% ^% W% P$ w$ c7 Q4 i$ Wset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))/ Y9 b Y2 N! U* r
set i (i + 1)
- _3 t$ E0 [: s# t* W]
& x$ V1 h, G8 `& Plet k 0/ J: U2 `% P9 m8 F0 h) U
let new1 0! t/ F) U/ G4 V% G: i4 Z: T
while [k < people]9 ?) S& E$ V6 I* z4 d2 f; C
[7 G( H1 q) ]% L O" E
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 A3 z4 G. e0 Aset k (k + 1)" ~$ f; X% W3 R1 h
]! ]0 f8 H$ ]& k6 E$ u
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) : A( m2 S- a# j8 x$ ]
set global-reputation-list (replace-item j global-reputation-list new)
8 S$ d) p$ a6 z+ I/ h3 Pset j (j + 1)
! {( e. r6 \+ |; f- G]+ t7 Y' [6 k) A3 U% W: T1 \- o) j
end d+ A% F3 W7 g6 s5 F. f3 X& q/ V2 n3 S
' Q6 B4 I o/ g" j9 I
# M7 Q' @1 D8 B( M# r- R
9 J0 m2 o$ ]0 r9 [to get-color
( N/ L' Z5 M5 \7 J8 ?4 G2 O: b9 }6 C4 \: |- I
set color blue
$ h$ h( g! Z- K1 A7 Zend$ H+ r& X+ P5 S
7 _: U' U# a! D2 E
to poll-class( L) A2 ~) n B. Y2 Y$ b r+ l
end& z) ~" F* B2 c% U$ j6 s2 T
. I+ X/ ~3 N! d5 P4 K4 gto setup-plot1
+ L& i X% `1 z; u4 z% J2 N& Z& h2 B0 P+ s
set-current-plot "Trends-of-Local-reputation"
8 _# A( X1 G( O- c# ^- o/ W# B: a1 d5 I
set-plot-x-range 0 xmax( j/ t) ^8 V2 _+ }! U! i+ O
+ S! \* S" F& }" @5 T9 m' H2 }2 i9 fset-plot-y-range 0.0 ymax, R! e p; V O& Y
end
; o9 v2 z3 {8 T9 |) z0 I$ Y, }7 u: I* m1 B( L( r7 I6 n
to setup-plot22 ?7 k* G, N- V
$ g0 H; L, m3 `1 s8 y
set-current-plot "Trends-of-global-reputation"' O7 f# Y' i" u9 m
) }5 N5 t; |* H( l
set-plot-x-range 0 xmax
0 G+ [: p0 `# F5 i) z. h
$ y, r, y. C5 ~3 Bset-plot-y-range 0.0 ymax4 U3 ]* p5 K ~* }7 ?+ T/ M
end
8 J2 W0 {2 Z# A' m; O6 X0 W* X$ @" E$ \7 H6 n4 e
to setup-plot39 U$ m, n" B) s3 r7 n8 b& u, v+ ?
4 ?( p T @( g$ t) T" y
set-current-plot "Trends-of-credibility"
' O: y( _8 h. x2 e
) n: l Y* t. Uset-plot-x-range 0 xmax
5 r0 Q1 _" i# T1 P
: O" y' N7 _1 W$ ^& ~7 C! ~. @- \set-plot-y-range 0.0 ymax
" P9 d* @; I. A) W# P. ^end
/ J! {% W! B: ~3 q9 @. O- Y/ M6 [, j7 i- P6 p2 S( k& s8 c
to do-plots8 r4 X3 {8 H j
set-current-plot "Trends-of-Local-reputation"
% q7 l$ i3 d* M' e2 |set-current-plot-pen "Honest service"- R5 ~# y s8 W
end; r8 G u0 H2 o1 Z4 _0 Z0 n5 y
5 j: I. e" E$ o C[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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