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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
' U1 ~" v0 r @& T& K" Aglobals[
6 z) S# E2 F/ o* |% x. Y$ k# wxmax- k6 v1 Q! z$ o, R$ h8 K+ ^
ymax, R9 p4 C# o1 W, H) V" Q9 R
global-reputation-list7 C! _: y; t3 k F0 \6 V
& {& ^* w M/ }: B8 _, `
;;每一个turtle的全局声誉都存在此LIST中
& q" l5 |& z% e. o7 A% J3 scredibility-list
; X% b" `* t) `3 h. m: Z;;每一个turtle的评价可信度# ^7 i4 C8 Y4 J5 B% Y5 L; `
honest-service4 D7 ^9 U8 q! F( ~( L- _8 W% U
unhonest-service
/ C& T; E& n1 g9 k: `0 moscillation
8 ]/ n- b+ V5 u6 urand-dynamic
1 V1 I4 t# P2 n* w% ] {] t6 ^. Z4 B- ^
& d. L( y5 B9 Y2 Rturtles-own[
( D3 y# K5 I! `9 |' Z: strade-record-all" S0 }3 J4 G7 y0 a4 F' e7 T
;;a list of lists,由trade-record-one组成/ ^4 V O" v; |' |/ o: w
trade-record-one
& i1 N; ?$ L5 B& g/ T* v;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
4 X0 z% S# S( t+ x- E$ ]1 Q1 N3 T; j. 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]]! q' Z) U. O7 K( B& q
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]
G& F' B( J4 L) ecredibility-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
0 r( k* Z- R% y% ]: F X6 qneighbor-total
( h: R$ U5 f4 c, W; y% x' r;;记录该turtle的邻居节点的数目
" b6 s1 H. K1 d( Q- V0 jtrade-time2 z" z5 L7 c+ h4 c
;;当前发生交易的turtle的交易时间1 _3 y6 I+ r6 I* M
appraise-give" a r0 ~( g& p" x4 e1 U
;;当前发生交易时给出的评价! t" {' e' Y+ t1 g; [6 P# ~3 W9 O) K
appraise-receive
0 _' [+ _8 c. I* u- l;;当前发生交易时收到的评价. C% |: _* t3 o" k" @& I0 @$ p
appraise-time
; G9 h7 g( M( q( |& a;;当前发生交易时的评价时间
' e& K2 M1 T. r: ~- _local-reputation-now;;此次交易后相对于对方turtle的局部声誉
: s" U; A0 _9 f ]) c0 e1 Z9 Gtrade-times-total- i" E& ~2 W: \+ P6 F
;;与当前turtle的交易总次数* ?% H) p8 H7 ] C+ ^4 n' A
trade-money-total
6 h1 c- ~( l- F) @$ S5 _3 v+ t1 v& p;;与当前turtle的交易总金额
/ }1 `/ l! t+ K8 qlocal-reputation
9 S$ M2 e1 F2 \1 i; Fglobal-reputation& b" A3 n9 W! T/ F2 z+ {5 |( M% s
credibility
2 [* V1 _' x5 f4 {3 r5 U r;;评价可信度,每次交易后都需要更新
$ G+ f( |* {8 e& j qcredibility-all; B& @& i3 x& I, L" ~: }
;;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
: L# P1 f: Q% {9 S
# j* b: u; Q, K% G0 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0.5
5 t: {% Y4 A4 _" Icredibility-one
# x) {8 K% `# g8 r( U( P;;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* P4 Z. L# ^3 k2 [, u* _& q
global-proportion" t1 P) H/ @" n* A2 }0 ?2 J
customer6 F' e3 x: q T l; o# a
customer-no
6 V8 O) K6 I& {& D. \trust-ok) P. s" ~5 i, p5 E$ e1 C$ F+ ?
trade-record-one-len;;trade-record-one的长度- v6 `7 V) f+ n+ ]
]
3 K' G* n) @8 n1 q# ?
r/ ^$ \+ g. s7 t8 U3 L% n;;setup procedure
& P; Q- _( r6 Q6 a1 U1 z$ T6 r. c8 H3 H( o6 b# K+ F/ t
to setup: A6 l- b( p+ X" v: \) w! o! z, [+ l
4 Q( x9 o- c) q4 o0 ` @, P2 L4 Ica
; \# L5 N* e' S4 N- K
+ k' ~8 D, l0 X+ M+ J9 \$ B8 `2 zinitialize-settings
+ @! O& h3 }& @' U" {
6 |5 C+ Q* O! F" l0 G+ d* ~crt people [setup-turtles]" v" z8 v2 x4 t
; F# q4 N, t. freset-timer# E& V8 w2 N- |& [2 N0 P
8 p7 O/ H! s& k' f
poll-class* o$ U A7 u; U1 N7 O- w% {
( t8 ~0 ?' p8 t5 F3 E: w/ tsetup-plots* e% j# r2 `# J4 a" F/ ~
& }, ~3 k" @! `0 \+ C, ado-plots
' A7 T% [* n) |5 S, Y0 C; H5 a: \9 Pend
* \% |( D; b8 C& i
. O' j* _" B7 g! \/ ~3 yto initialize-settings- u4 {+ i8 A7 G* [
& p3 p" T6 P; K I$ f6 c3 \set global-reputation-list []
2 e# L4 a( x' f8 S2 K- p4 u) |# w8 D
$ I. J% i( X# O: wset credibility-list n-values people [0.5]
. M1 O h/ n) |# }: D' d8 }. ?+ N% U8 P" Q
set honest-service 0
' g7 s0 U, a/ Z; P* j) \9 k% m& m3 j/ u
set unhonest-service 0
I$ b4 r8 G' p/ b/ o: z% [( L6 M' t
set oscillation 0
4 y/ C/ V+ n3 {+ V+ P# p% i: ^' N! T& }, u4 I- K$ y8 E
set rand-dynamic 0
: Y7 X- t+ r, s v* s: Qend8 V) C9 S" d% U& q" W
& \0 N! Y. Q: ~/ W' D+ h
to setup-turtles * i4 H9 w* f& o& z
set shape "person"
; h& Q5 W$ r+ x9 i: Q1 fsetxy random-xcor random-ycor
* y f9 b4 P6 a" K1 o1 |set trade-record-one []. k9 e' H* ?6 \5 F" z! u
0 s6 f! e; }% k* P S9 ?+ A
set trade-record-all n-values people [(list (? + 1) 0 0)] - S( \+ A& R3 [
# \& t R4 {% I! a" \: J
set trade-record-current []2 L4 h7 @& E+ G% j+ O* C6 h9 @5 [
set credibility-receive []5 y/ f/ x p7 g+ u7 ~
set local-reputation 0.5% T- _6 _! ^' {2 |
set neighbor-total 02 c" M& O8 Z- s! W2 B- s
set trade-times-total 0; R1 |6 d) k! d
set trade-money-total 0
& _- a5 {, z4 t6 vset customer nobody
: O, L& }. t0 @8 |" s0 Y* |2 G* Gset credibility-all n-values people [creat-credibility]
" s/ f% g# \: z, |% @set credibility n-values people [-1]
4 M: \6 r9 z# k9 V- ^& S3 oget-color, G+ B: a. t+ k0 u" @! R( u% y
2 J' K4 S) S0 R4 s" E
end& L% l# e0 x3 A T R6 |2 |9 U, V
+ |2 n; R2 Y. Xto-report creat-credibility, H' v3 c9 s& O+ m: W3 k* M. }
report n-values people [0.5] L, L# M4 Y4 A6 ^( `, Y
end' L5 Z3 M! B) {+ V6 f; B
8 H& H# |! s; f3 E
to setup-plots) D6 ?! v3 _' {$ y% E+ n# u
4 A, D! r5 e( V$ Q8 C6 J
set xmax 30
1 c ^9 w s6 j* o# s. e& y T/ U0 d8 h
set ymax 1.0& x- M( \4 |1 b
0 r- m* S8 u+ d6 ?) o' `# l
clear-all-plots
# X, r0 t. |. [# o% ?! c
8 n: }. _* w* o$ w2 H* ysetup-plot1+ K4 g& e# p4 }7 u1 a, e
- \5 D7 n6 Q% m! N! [) s6 Ysetup-plot2
& F( ~, M, w. ?1 y) m7 X9 ^8 `! W6 O8 H
setup-plot3
# B' M/ d: u0 a1 z3 a- cend* C0 d( L7 I5 d
+ I9 s/ K) R6 h3 r @
;;run time procedures+ [0 l4 T" X" G9 J" k. w& G
! S2 E3 N( ]/ P
to go+ i' q, V: z8 ]
4 x# {* x% Q2 }- @9 C
ask turtles [do-business]4 ?, _5 b) w. `2 r$ z1 G
end
$ i4 {5 o% G; y# m! M V& T* k1 b, \
/ p3 F7 h; j$ b3 ~to do-business 6 n( g ]" j4 x
+ k- u, Z, k) `/ I9 x S, L+ j3 k F; { U
rt random 360) `+ Z+ ^/ ~& _) q, ~1 f5 u" X
( |8 y0 I" b U& L+ T8 nfd 1
& Y% y9 d3 V9 e) m
; x! p2 U/ }8 a$ [$ \ifelse(other turtles-here != nobody)[
* G8 u# w6 q9 c: T! k7 m4 U" v& G" v, A4 G# I% w( ^
set customer one-of other turtles-here
* v) U3 s5 N" H) h4 f+ G( }% ^) _5 d5 G. W
;; set [customer] of customer myself
) l1 a* g$ K/ q8 l( C2 b) n
/ u/ [( y8 N( X( s7 ^set [trade-record-one] of self item (([who] of customer) - 1)
. ~! o: r2 L; {9 v% f# w: q[trade-record-all]of self
: i, L+ C/ a8 D8 W& x6 d+ V;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self2 `$ X( ?; s& t* O) L$ A
2 B$ T# Q" X& J) E+ n& `
set [trade-record-one] of customer item (([who] of self) - 1)
' {1 w* C! B% L/ G[trade-record-all]of customer
' f; s: T7 b3 D. w7 z% ]+ ^
: L9 e$ Z: f3 ~/ y+ w+ C6 |0 sset [trade-record-one-len] of self length [trade-record-one] of self
5 r/ w% n+ a9 g$ k( u7 P
. W1 J9 h' J7 P1 M9 [8 `5 o( B/ Iset trade-record-current( list (timer) (random money-upper-limit))+ y9 j% U2 C* Q
% v7 G" t- d) W5 y! c" [$ f
ask self [do-trust]! x" C5 ]/ W1 z& Z
;;先求i对j的信任度! t9 Z9 T4 E* a0 @% i
& z% |' z: [* D! B) [7 ^if ([trust-ok] of self)
) W* S* e- N& e% F) Z;;根据i对j的信任度来决定是否与j进行交易[
* L' }1 k6 l, R. W3 W: Sask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
+ ?0 y) Z; r# V" q; J5 D1 `# T G U) P7 v0 m
[
# k7 S0 a; @* ?0 Z) Q2 }- \2 I+ b9 b& o: I1 S1 S& p) x3 e
do-trade! R: n: e% Q* D( c4 `" w4 l
" |7 P: r( y* d7 N' z
update-credibility-ijl
: B0 Z3 d6 n1 p* c6 s
( G! s% |' F$ M7 ]+ l% X! ~update-credibility-list
+ L Z& V! q/ J4 }6 n# j- x# M$ c, {: c( R
& U4 P: m3 U8 m7 V0 s0 {update-global-reputation-list
! f9 m" K3 @4 Z% G0 d% a# Z; c
6 ^& \( g& y2 z. npoll-class
7 j: u0 d1 d9 e+ ^/ A
/ N1 A# }; O! D2 k* @( a/ `get-color
& u4 V; w6 m5 P
/ i" t. Q5 F$ N5 A: |% Q; k]]
3 _- g0 Q. h; G- X' @0 p# K( @, b( T. {
;;如果所得的信任度满足条件,则进行交易4 S* ~& C$ E- m, r9 O, Y
, C2 ?6 u6 _7 g, f/ G! Y, g
[
( t0 H4 @- j0 R& @' y- O) N6 b/ |+ l0 m, V: W2 l
rt random 360
0 \4 t% o- \) p5 p+ C7 M
" f3 W$ U! i0 ~1 z( D0 Lfd 1
6 E# T1 w7 b' T. ^
$ s1 L/ l) l! V, N7 `0 v3 F7 Q]
V- ]. f; u! N4 f" }3 o& F$ {( i3 P# k4 i% K
end
0 w4 d2 E# }; {2 C+ d! o0 O9 B! Z* T: c9 g$ g9 K. t
to do-trust
+ w# Z; f5 J n6 y5 t+ _1 Eset trust-ok False
3 M" v) S) H1 h+ F
( C7 e# K) S6 `- `
1 x, j# o- R% r- A6 g) _let max-trade-times 0
) ]: o( {- E! V+ ~foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]" B) o$ T% J; L, t* h \
let max-trade-money 0% E+ L* J* B( y/ D- i, Z0 U" P M
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
5 I* f9 o* [" T* I8 b flet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
2 j3 t" |; [: p) L* I7 J( M0 P. V
. {. O# E# [! J+ K* p, x- V2 z( Q3 n/ j: F) d- N- c6 E! D3 N2 h
get-global-proportion, }. m, V* N7 v' a3 r! y( @% q/ v
let trust-value
' Y, A5 }+ Y) \9 I0 alocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
+ S. O7 Y* d% @: W1 r, dif(trust-value > trade-trust-value)
. Y* [7 m% K" k$ i[set trust-ok true]
0 S) J) F# k% _3 D. Xend
8 Z8 B( c" r) u) B* G2 v' u4 R8 m- K0 l- D% p' k" Z. l
to get-global-proportion
9 E% `5 \( |+ gifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)1 o) I4 D% N+ e
[set global-proportion 0]
: Y2 h) m( y5 w[let i 05 X1 `8 g, H% l- `% n# l
let sum-money 0
9 Z+ t% O9 S6 ^while[ i < people]* n" @7 Q/ U1 z: A% ]+ P
[
* {- x' z, k5 Z7 _) Hif( length (item i
3 h/ E, @- C E( h2 v[trade-record-all] of customer) > 3 )
1 R9 m- X: @# n+ t/ T3 ~) v[& f1 a& l1 Y6 _, F- e6 b: p
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))8 p! K7 w8 x/ ~! G
]
% {& j0 E3 Y- l]" z* P. M; _5 m* }* |7 J, P
let j 0
0 Q, L+ A7 F! J& u) K Q8 w7 K8 Wlet note 0, \- P; U* H: W* R- n
while[ j < people]: P: E( x( D# H& i' w1 ~7 H- e: t
[, ^6 z( X0 R' q7 G2 `+ `- `% ~! @
if( length (item i
6 u: S5 Z% S: E[trade-record-all] of customer) > 3 )1 w" |( z$ Z* e v3 `( H
[+ e7 Q! d$ y1 B6 S
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)# L M7 g, g4 |: z" P
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]7 L$ @) E1 P: V5 P. x1 I" o
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]" |( u5 O" r* Y; f7 n7 M; N' w
]
]3 D/ C: w0 u& D]
$ i, ]3 w, M+ Iset global-proportion note2 B- v3 Y! |3 J; f# Q4 c
]0 h3 K- d# E9 u0 t
end8 n0 B1 P8 ~4 z* F& P4 Q. }) S% v
2 x! B$ M" s6 Q3 `! n5 c
to do-trade
0 [& e( t5 u2 v- g d: [$ X) m;;这个过程实际上是给双方作出评价的过程
0 _2 U7 G* T, `set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价6 p% P" Y% D+ Z
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
) i& `6 v2 Y7 C( _; C& `( dset trade-record-current lput(timer) trade-record-current
8 }" n- S7 p8 S8 I;;评价时间
! J3 g% J5 [: M8 X' s7 I1 K. [4 Rask myself [4 [4 M" J. }' O5 L H
update-local-reputation
3 m a _6 \: v8 t( p2 Oset trade-record-current lput([local-reputation] of myself) trade-record-current
: O) s2 W7 P3 k& w]2 P' W& `3 @0 N. C9 q
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
+ c' \6 V: b7 R* m/ r; a1 z- A;;将此次交易的记录加入到trade-record-one中! A% n& G8 ~! [& j: |6 H
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)) J+ ~) B0 |1 J
let note (item 2 trade-record-current )
6 @. K* a9 }6 H1 X3 ]set trade-record-current7 x7 L0 o8 [+ h# q
(replace-item 2 trade-record-current (item 3 trade-record-current))+ _( O+ u* s$ l6 w, I; P( q' @
set trade-record-current
" t- a, ]% ]. y. M5 n5 ]4 N( H(replace-item 3 trade-record-current note)
! m; j: Z0 T8 t; C7 i% m6 C+ [) _
. L, [( s9 F3 E( d3 L( P! ~8 q
/ x* J8 S; N2 R: z; z7 }8 N& Xask customer [% k! G1 s8 f+ y i. Z
update-local-reputation' d4 |( \( O& \( k/ O4 r9 V
set trade-record-current
( W- X2 j) `' `3 u/ S* o(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
/ w6 f- Y& m/ r]9 P$ ~+ }7 _* O# H) ~
5 |7 I' ~; r6 f0 b3 w) I* d
3 ~+ ^/ T# f- Gset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer% A5 N8 ~* j) r0 O
( W, d0 p0 f0 `. y4 Z# |7 cset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))9 r! c3 t+ m4 \, q4 z! z
;;将此次交易的记录加入到customer的trade-record-all中
/ F/ v- l7 }+ H3 _7 ~end' c5 x1 V" X3 B& V4 Y2 N3 f
5 G% N; I6 p' a# Bto update-local-reputation
+ G4 X( O4 z, ^6 O& I4 j! Pset [trade-record-one-len] of myself length [trade-record-one] of myself8 R2 Q. Q, L) _! R( Y
4 Q) K) P4 s$ s4 y1 S4 _/ u
" j G/ |4 _6 j& y$ ]# q3 B o
;;if [trade-record-one-len] of myself > 3
9 {9 {$ G; [5 t, hupdate-neighbor-total0 ^9 X7 k8 P$ d; e/ k6 j
;;更新邻居节点的数目,在此进行
4 u4 O' B' }8 ?4 E! qlet i 3
% V" J0 C6 `% T0 { W% c* I; S) R7 p( ]let sum-time 0/ _1 G* A' }# e. W0 X: O' O
while[i < [trade-record-one-len] of myself]
5 x8 g" \* V: y. Z[
R' {1 t# p s5 ^set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )' I: }( W6 j. ^" k
set i
8 q) }- e; A9 {$ G( i + 1)
3 m2 {0 }5 M0 w]9 L7 a. I9 C1 g: J8 ~/ C! Y
let j 3
7 V- X7 l$ {6 t: ^- A6 ^* V8 nlet sum-money 0- h0 Z6 Z h* a4 C/ u( P
while[j < [trade-record-one-len] of myself]
8 D0 _: {/ _. i2 M- L8 k* h( d9 i[
4 M$ P% H9 {1 ?. j0 Vset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
! `; t$ u" i" u: R& k6 Bset j
9 ?5 ~ f" x( w" ]( z* z% R( j + 1) ^; L) s* N: a- j1 \4 z2 W
]
" d9 t1 ~; `& M2 Hlet k 34 J( a6 i/ R3 j' d7 t6 \
let power 0
. @" @2 n: q/ z" ?0 {' J/ ilet local 0/ o! t/ T6 a$ v" r4 |7 L. P
while [k <[trade-record-one-len] of myself]
3 ^& T' }' M7 q: F" I[
4 i2 ?* S6 d2 N! c6 j. @5 sset 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) 1 m9 X. \0 ]) H i. G3 c
set k (k + 1)# t" U: @6 v$ R0 F6 T
]( Y7 \; x3 ]7 \, |
set [local-reputation] of myself (local)
( o# V7 E& u+ w. B$ d5 {2 tend
+ Y' H5 B2 E2 B- R: t: \5 i( `* w8 W# w. z
to update-neighbor-total7 J4 q& i* M+ R5 V$ c
! z$ f7 O. k% G; S
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]3 E# H3 r& s9 V B7 l! E+ D. h
" x0 F5 @3 ^7 ^5 K! H: `6 } f. r0 P4 s& U# Q& Z5 s
end
/ L* l) P, m7 x- J9 `6 l) y
! {0 b/ t" Q Q. E/ k$ X Kto update-credibility-ijl
$ o3 N/ k) L1 j* Q" l! z( ]- q' ~ n- [
;;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/ w1 Q8 _( C
let l 0( A) \) b* j1 Y# [# ?' G _
while[ l < people ]% e: a; Z9 d% \9 B
;;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
T2 H. S% Q* j- O E, q8 A8 `[
1 {8 ]) R2 d8 o" J, n8 Nlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
' t0 X6 B) e, p: e! kif (trade-record-one-j-l-len > 3)- X$ w- z1 R8 |8 X/ [
[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
1 q' y- i* i1 X7 m0 [# u1 Q U+ vlet i 3# B* L L5 P; d1 C ]7 n
let sum-time 0
3 f2 c' C& w, q4 G6 F1 gwhile[i < trade-record-one-len]
1 _$ w, u1 @! R2 i! {[
' b) Q4 k! g3 r& @- p5 Q& [1 @set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
* b* t/ `3 L9 p' fset i
}- m: s* x7 _( i + 1)
. C+ ]' q1 J" n3 A]
% O- O# F1 o, N3 a& }% Dlet credibility-i-j-l 02 u$ K4 x: f8 g( U
;;i评价(j对jl的评价)8 B( k: y; I7 e. r# M+ j( w
let j 3: u! D* ?" ^; v. S, g) M0 r' m
let k 49 Y- ]0 |$ r, @: o/ j2 Z) B
while[j < trade-record-one-len]6 I# {8 a; ~, s% N( R
[
, J$ e& {( ^: Ewhile [((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
$ o% P( w3 p( b9 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)
3 |* Z( o* A y2 F; f& w% Sset j
; M0 }3 O% ~8 Z0 e; B5 a( j + 1)
! m; ?* j, j# R3 a]. E' V4 f% d6 y1 `# i9 M
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 ))
, J4 r0 H" J" i# K( B
0 @! E8 k8 C' r! ^' o; J; Q
6 g5 K6 l, B1 U4 elet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
4 X. b* n' Y! t8 a* i# h e;;及时更新i对l的评价质量的评价. O& z- j5 |4 X4 Q' d, K% C5 e$ n1 Z6 z3 l
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]% u6 Z) l" p; T0 q3 `1 D
set l (l + 1)( L# i" Y [ y! ~& H$ s
]
4 w2 N5 x+ |& `, kend5 a4 X. |2 g9 E$ ?- m: V
6 o* r0 r# g; |
to update-credibility-list
0 g5 F3 M! R. K9 C8 ]5 Z/ Plet i 0
+ p( d$ j3 f; @1 Q |while[i < people]
$ t h+ b: O: v4 Q' q1 i[
0 Q% j( {3 o* `: Y0 M& c5 Blet j 0
# B% ^5 ?8 N3 @3 Vlet note 0; T. u# P# p0 h! n
let k 0
, R2 c; e! O% _;;计作出过评价的邻居节点的数目
1 ?$ M$ [2 U! j$ z& M7 U$ W0 wwhile[j < people]
7 z' q7 m) Z5 e/ ~. j[
# W% o/ [/ l: p; l# {if (item j( [credibility] of turtle (i + 1)) != -1)& y. s7 R0 H% Q. [8 s7 r- {
;;判断是否给本turtle的评价质量做出过评价的节点
" g) F0 I1 G' x[set note (note + item j ([credibility]of turtle (i + 1)))- l- l0 O: M$ I, X* o; i g9 v9 I
;;*(exp (-(people - 2)))/(people - 2))]4 W6 t, ^; g$ o; S/ A$ }
set k (k + 1)5 }0 V# |/ d* |2 H. f4 N
]
9 e- J$ H; q7 _set j (j + 1)
( _7 } P/ g: N: ?: @4 B4 S# U]6 M! u. s: Z7 j2 l
set note (note *(exp (- (1 / k)))/ k)
4 u& i8 a' D% @set credibility-list (replace-item i credibility-list note)
- E8 `5 _1 A! @set i (i + 1)& B9 y* T* W5 m8 h! G
]
" n" p/ F/ _1 i- b2 uend
0 m+ W3 |" N4 A) K3 ?- _& R S/ J1 d+ ^: E( r
to update-global-reputation-list
4 K J3 I2 L6 slet j 0+ f/ W. I$ P0 r1 V ~6 j
while[j < people]- y2 d9 B+ `4 u0 ~- i: {, N
[
' M7 s! L+ G' f* ^* ~let new 0& \* j: |5 P7 I9 j* L- i7 S W5 [
;;暂存新的一个全局声誉+ s3 G. p' G3 Y( F( [8 v0 A; C
let i 0
; l/ i5 F/ G& p A- Nlet sum-money 0
' }; ~; [$ X4 Jlet credibility-money 01 H& X$ C0 a* W8 a: k
while [i < people]) a2 \, O4 Y1 ]- E8 s
[: m8 l/ _# ~9 Q. t4 R" v' g( l/ @
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
$ \& H( u9 G( q- H2 Aset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
, R2 Q' n% d- G8 fset i (i + 1)
5 g( ~% P( c' F3 T]
+ F' Y/ k1 T5 Y+ Y( K5 ~let k 0
9 C) a2 G3 k6 `let new1 0
4 u! S/ a- d' a9 Pwhile [k < people]2 t$ G% d, S3 ]# O; s
[$ Q" O/ f$ h: ^
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)7 i4 c8 o3 E: c' S! \6 E; V
set k (k + 1) p% m, r: E% v* j" F) W/ b
]
+ @$ h& V# I! A) F( ?, C6 a; Dset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
0 R! Z) q. I$ N: K- g2 jset global-reputation-list (replace-item j global-reputation-list new)8 i* q- ]& F* `, Z; X6 m/ Y2 k
set j (j + 1)
0 {; w- X) }+ H" t) []. K2 T, X! w9 A8 F) m* ^( Z' Q6 q
end
; Q$ j2 E0 A' Y w
2 q2 [" t+ z2 a3 \+ C9 `2 I4 D a- f9 D: n0 W$ g
. }" \, U" c. @$ q6 y, \* D
to get-color
4 b# ^$ B1 b s0 e0 y `6 u6 E& F$ ?2 h
set color blue
/ m/ U+ `, W) a) @* V- Qend! D( C5 J( ?' k, Y
. C+ q' {$ d; a: M# J2 r1 I
to poll-class
- J8 S; w0 Q3 f/ Bend2 Y$ v3 m/ K+ r b4 R" Y: k8 W2 b
* r2 h! F" P* H8 `/ O) M
to setup-plot1
- B& Z$ q0 b; x6 r% `- c8 `$ G$ v# D0 B5 z' t3 I: @
set-current-plot "Trends-of-Local-reputation". b' ?8 F# V& c% c: M4 H5 u* x
* O: {0 R2 _6 J8 f0 ~& ^- Y' R# k
set-plot-x-range 0 xmax& y( C4 @ T6 H( b) U9 k- G( x0 q
' i. t4 k5 z( j% m- Xset-plot-y-range 0.0 ymax
% i: W5 O( B* O" P a/ E; Vend
/ g: P; `/ [3 w* b4 Q& D3 E/ ?! ^) o8 K
to setup-plot2
9 p/ b# A, U6 f1 D
, S# c% e9 d) Q; N; u; J& z Dset-current-plot "Trends-of-global-reputation"
: |$ R& ]' d' h9 R+ ~$ M2 C: Q ^; t3 B) A+ X3 n
set-plot-x-range 0 xmax
- @2 I1 A" f0 @2 u$ U* ?) D5 J. A* W, s3 b+ C* B
set-plot-y-range 0.0 ymax. o- Z+ [! \) T, c$ @/ r
end
0 S% B# J! N. ]1 m4 z) W" J: m9 w# d, n
to setup-plot3
1 g! h' t4 f! R7 \, r; ~
) T& o1 Y2 z3 X1 `set-current-plot "Trends-of-credibility"
9 P& P& I7 ~8 o' `* x
) R' G0 }# B( V# w# E8 Mset-plot-x-range 0 xmax
2 H. n! `2 ] c/ y1 w3 O- C V
) Q. r0 C7 K- ^4 h# iset-plot-y-range 0.0 ymax
+ ]6 o. n( p- Send2 }9 O6 m G. X6 G( t
. [3 W; b, b% |: @( v6 X7 ^; zto do-plots
- [+ l% c' k* z& yset-current-plot "Trends-of-Local-reputation"
% i: j3 i% K/ P% w9 ^- rset-current-plot-pen "Honest service"
- t8 }' X6 H5 _; t j( u& Oend
" x% ]1 V7 T* Q# ?+ J4 Q' u# [* }
& v: m4 v$ g- ]+ x[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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