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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 `! w+ z1 `" O$ f6 l- T
globals[" Z$ j1 O p' k9 y( g' ^5 ~, [
xmax8 N) G: k( w) C) F, v
ymax
7 S$ ^- H9 B* ~; zglobal-reputation-list
3 a3 X: w+ A" f; N$ i! c! I
% j! T; `) W( M0 \;;每一个turtle的全局声誉都存在此LIST中
; o* ?, O2 v; B6 Mcredibility-list
% Y0 ~( ~' q' r+ U( o& y;;每一个turtle的评价可信度- `* l) h- g$ E3 z5 K
honest-service
8 @3 `$ h# m' Z; d& S j% x+ yunhonest-service F Z9 }+ F' T
oscillation2 B' f2 T9 W9 D4 ?- A' d4 A1 e+ |+ r
rand-dynamic
+ [# ^, Y& d& r, B* @/ J]; w( _# v) i" Z7 e
, Y% D' C1 a- _. Q% P3 H4 kturtles-own[+ i# U% L- S7 z4 A$ Y+ i9 A
trade-record-all
3 T# |' l" |! G9 X+ D2 r;;a list of lists,由trade-record-one组成
& G. S0 x( |& Y) ?trade-record-one
+ u2 X3 o/ y7 V0 a8 d6 y;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录9 e4 O2 T: m) e7 y
2 X3 v3 v; B* P- R) s# ~" T;;[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]]5 s- Z; U' d. Z K
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] ]1 r o; W# x! o( H. ]
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
& _' }8 P2 {* z( B; `; e* P sneighbor-total- ^' H1 w: p* w- s2 R! M1 p( S
;;记录该turtle的邻居节点的数目
- y# D3 s+ R& A" E1 jtrade-time K% x4 N) ~8 J6 ]
;;当前发生交易的turtle的交易时间
, C7 f6 {- r1 |) ~appraise-give& I2 k/ U7 c/ a, l. I0 w& N
;;当前发生交易时给出的评价" ?1 d/ n" t) B2 F% b: s
appraise-receive
& |- q( @; Q# c: c, i9 I8 c7 V$ g;;当前发生交易时收到的评价
" L g. d5 u" [" q ~appraise-time6 X' {! y+ m3 u
;;当前发生交易时的评价时间
$ X" t, U6 w2 X& e6 Q% P5 Xlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉/ O, M6 |% @2 q$ V6 n; _) J
trade-times-total' ?' c+ |" M, z. O; E. @
;;与当前turtle的交易总次数
9 @6 `" G/ y, w! W6 t k d4 ^1 itrade-money-total; y) p, D+ i/ k9 A( G" T( D
;;与当前turtle的交易总金额
% ]/ B' G+ _* G4 Olocal-reputation. k: J) `* ?9 R$ A8 @2 _# u
global-reputation7 K7 m' f- Z9 A$ `: A! x @
credibility% t" ^* G* Q: B* R
;;评价可信度,每次交易后都需要更新8 Q( E# W0 l% v. f' m) \8 b
credibility-all
7 H7 Q0 W1 N& q% I9 N; s0 Y;;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# T: r# z: q( i% k& E
* H* y9 A; J2 \0 N' R) ?5 H;;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0.59 i" \6 R t. J# e
credibility-one* ~( ^+ D* o( B, j% z3 V
;;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
/ b! P0 Y: x+ qglobal-proportion% g% r3 N3 D4 O, ]6 ?2 w+ Y% r
customer& J1 H! B. ~% H$ f# A$ U
customer-no
8 e% ^1 g8 z( U3 g+ D6 E2 G0 @trust-ok
+ X z8 }$ L4 m1 a# S, ftrade-record-one-len;;trade-record-one的长度
2 J4 x. ]6 F2 M- b]7 c! V+ n/ l! O S
- b, y! [( L0 t7 C9 n;;setup procedure
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1 @* j" B0 x2 h: o+ b/ xto setup
5 Q, x* I% x; ?$ M& q' k) _) e+ m
ca
5 ~6 `" L5 \/ r3 o) {) l5 l, ]& n3 g* d" K5 e/ Z0 ]/ W8 _
initialize-settings, K" C; U6 }* X4 Q4 e' }' _
! _$ R5 L" H( N. A7 h& Z; _crt people [setup-turtles]' Z$ B% B8 n3 j+ W, F% C: U8 ~
d7 I8 e: N# ^$ creset-timer
+ t& S p( ?) f! R, J9 ]5 @" k
% p5 r( l; I+ Dpoll-class
1 r: u* U5 N. ~' }. }3 P' j4 O7 I& e \8 C
setup-plots
! H4 D( l; g0 [# a% l3 W7 J$ U! G3 }! Y" [1 L
do-plots- j6 {; h& O" l" E( v: e
end$ I; W5 z. q ]. q* o
+ k/ K8 Y' ]) \
to initialize-settings
6 F& {8 o4 ?" i8 b) n% w. y7 b( B! K5 C! [! m5 |
set global-reputation-list []- P/ p5 D$ {- J
. b# i! J1 S6 R6 \1 b& M" B8 C$ k$ N3 bset credibility-list n-values people [0.5]' x; ^0 |; n$ } T' J0 v9 g
$ B/ e& I( B! A/ X bset honest-service 0 s% }- L, k. C+ l0 m' n; S
$ X4 v. i6 I7 F" Q/ [9 ~
set unhonest-service 0
2 t( k2 d1 x# ~0 L7 z8 [& X4 N9 d
set oscillation 0
9 z$ Z( c1 `5 F" C* S& q3 j0 K. U f, J
set rand-dynamic 0
5 j# K" O9 ~5 a! Eend
! \" F4 |$ `8 s( c& h
# q- Z, {/ _ d) J" O1 Q2 ?' vto setup-turtles
: Q; o3 [" g: [9 Yset shape "person"& [: v6 B5 |- D/ n: b, r* l
setxy random-xcor random-ycor
1 H7 K( W( \; R, s& Z4 G2 ?" |set trade-record-one []( l/ z# @) W2 X: B) N( b; m
G" L. D2 I+ ~1 n! K5 [3 Q( Tset trade-record-all n-values people [(list (? + 1) 0 0)]
& H; B9 F4 B0 X3 c, {. C! Z% `" F& [) ^/ Z
set trade-record-current []6 n* B. F4 [/ ` E- X
set credibility-receive []* [* C) H# }2 v! W& ~3 v7 R
set local-reputation 0.5
, \+ C1 _# K; z. {1 r' g( xset neighbor-total 0" K' x/ H: |9 s% l$ D6 l4 f
set trade-times-total 0, q. Q/ \! I9 A* U4 ?5 S2 {
set trade-money-total 0! E/ e# x% Q Y0 v. e- ]& u+ W
set customer nobody
: d. m7 d0 K" Z: R$ l3 Iset credibility-all n-values people [creat-credibility]
& z: R' D6 q1 @, P: H( J+ n f1 K% dset credibility n-values people [-1]
# B( M9 G: w/ Iget-color7 T& M& N2 n% l' Z, a1 ^
8 ^% m) ^9 S( ?% X0 C7 S1 V4 A$ @end! [: t: Y; [0 O" o; J( q1 y
7 E( N0 ~+ R6 g/ _! s
to-report creat-credibility
# P: Q+ d3 H8 ]6 e; Y& W( Breport n-values people [0.5]8 C b: R) C) S' v1 \
end, r! r# v1 `. e! C0 }) u
+ g1 P0 ~2 E: z. v& p/ U) p; n3 |' zto setup-plots
' ]7 U& s) L7 F4 O( U- H# ~8 ], H! @
set xmax 30
7 F1 F/ l0 S7 ~+ K& o4 f/ l2 F# ~9 r8 b/ {9 f/ J$ `: o/ x. q6 w
set ymax 1.0
5 ?9 y. Y2 c3 K5 j6 [4 J/ Z7 h$ ]0 q. D! A" @% b) K9 H" t( R
clear-all-plots# x; b. E% p% m$ q }9 ~/ c
& s- ~) L* s. ]8 o: K
setup-plot1
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setup-plot27 ^8 E; O$ b$ g S& J n- w
+ }6 p8 n5 i6 z
setup-plot3
+ x6 i. O& ~8 K( S2 e* e' oend
0 @; a4 q9 t) u" R3 g: j: e2 S+ B4 F0 _/ T( N
;;run time procedures4 w# ?) I D* g. Q* @8 F
- [7 ?' V/ }2 v$ J. n8 v8 P1 A2 o) W. Fto go* f: k0 d* [7 `7 F- P8 Z
0 z, i( y7 ]8 g' Y, v' S' sask turtles [do-business]* Q( X! _- j$ c( D" X2 {9 R, N
end
/ w& c$ q& U- d9 M7 `% t9 r' g4 L$ U& i) O
to do-business 5 A% Q' ~2 @. b: F' ?) Y
+ O9 b* x8 N" E$ U! P8 g, t7 W' \8 g+ ]% Z: |
rt random 360
( }, a+ X. l' u' P" s8 b7 ^3 u- q; ]
fd 1
: y9 \) ]! M0 {/ |2 l+ @, d0 F8 G1 y
; _5 U3 o; t w/ F1 N zifelse(other turtles-here != nobody)[
3 D: @3 S. _. K4 ^
# M+ D9 f# m- G8 f" b* Wset customer one-of other turtles-here
- v4 @+ o: v% t( y
) D& ?( O+ l2 e& L;; set [customer] of customer myself
' }( A8 P/ X, Z( R8 [2 U/ {
9 A5 B, s: n; x) Q' x2 K$ [set [trade-record-one] of self item (([who] of customer) - 1)8 M! `1 I" U: F* \& w+ P. M) G
[trade-record-all]of self* y3 r; h4 ^$ Q4 F+ x4 n% q
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
8 |6 g7 N' c. J7 m* Y" A6 t0 `2 r* |3 P, q& l4 D
set [trade-record-one] of customer item (([who] of self) - 1)# S# [0 h7 X9 P4 ]: I
[trade-record-all]of customer
' X) r0 L4 x2 R# W# m6 O3 z, I
+ i, `& T6 n1 \$ u9 Y8 J9 F4 Q& W, K3 _1 aset [trade-record-one-len] of self length [trade-record-one] of self
6 g# \6 B% O6 `, ?' C: g4 ?2 j! x% A( P" b2 j8 Q
set trade-record-current( list (timer) (random money-upper-limit))
5 t2 y: }6 h+ r6 ]1 j0 P+ d+ R$ B% d! S" S% i8 t" P* {
ask self [do-trust]
/ v6 I$ n" s5 L& D7 y: V' @- |;;先求i对j的信任度- k7 Z( ~9 e! Q$ ]3 h5 T
7 i; L# _/ n; q; s" e
if ([trust-ok] of self)) S: Y( ~2 D* h; j
;;根据i对j的信任度来决定是否与j进行交易[+ V( ~- Y( z& l+ q1 ^7 c0 d: ?3 ^
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
/ j, \7 u H$ ]/ T5 x: s/ B3 J
[" {* f% Y2 E, n. V( V- }
+ M- h" V' A# v5 G9 K8 \do-trade
- ~3 j+ i; F0 @4 n. e
, \; t0 v N! s+ a3 a/ Z4 Vupdate-credibility-ijl, s; ]$ H) M& }0 D3 F' \8 f
7 S' Q* o9 O6 S1 i! V; A5 jupdate-credibility-list
4 R. c% W/ z& y$ ]- x. R+ z: O$ h3 v4 h% T" ]1 o% l
7 M1 ^6 p( Y3 W- L# K# B( R; fupdate-global-reputation-list
9 h7 k" C' L$ K) l' w
" W+ n0 `" H7 h0 d1 T% Tpoll-class
$ ~8 w' V6 B# z5 b- l. k: ?
( o; ^2 E0 C8 ~; S3 zget-color7 f. X' C" J( W' s
; f8 m, ~; |5 {
]]
6 \! P2 C: y4 I$ @9 b( ^
0 r1 U) ]. n2 z. A, z, ?- i;;如果所得的信任度满足条件,则进行交易
X; o3 c7 l0 \- U
- R) B6 V8 T5 A# l! U$ A9 o[7 q# r8 C2 T/ c: F8 R$ S
4 j, t) E( {' D9 ^" n& K# o
rt random 360
" A! [' v" Q% J" x" I* n/ p- r4 S5 ?3 r4 X' k0 h6 k8 ^
fd 1! ?! I3 G9 V1 G4 x" y, y
0 ]% Y8 f, h% j9 o5 O( P
]
$ c5 k( a$ J! F: j
, J7 t4 {0 \% S4 w4 Zend
! O9 ~! i+ ?" R0 p# }! N5 M
% |/ p/ O, q. }to do-trust
8 t& r5 Q2 N* ]( zset trust-ok False. m _6 @1 K( v" y5 k6 W' u
$ y9 ]+ Y8 n" `, j. Y$ l. ?2 ?: n; a9 N8 K, w
let max-trade-times 0
: D1 X" V; T) W i+ ^7 [( ?0 I5 Cforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]9 e+ ? @ Y9 `, g0 b5 p
let max-trade-money 04 w' r" v% [4 F' m0 A
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
7 S3 R; Q: @3 I0 R' R6 s" a# i5 Slet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
$ t6 O. {, C' o, ~4 u; R5 g0 e v
2 S% P8 I. s: Y8 C" {
get-global-proportion
% x. c! j0 J9 Blet trust-value
6 w; c; L* Y+ Blocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
8 h4 N. C7 j- R' ]if(trust-value > trade-trust-value)
( X% g( h; D6 V. m& N/ K. m[set trust-ok true]
6 a9 }8 F5 w6 D, N# r/ Hend
6 K3 F7 \4 G2 d- C
6 }2 t& P' M _$ v* Uto get-global-proportion D5 D7 E; ]# p/ o
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
1 s7 F0 E! l; E' C9 l[set global-proportion 0]1 ~$ F( H2 G1 N
[let i 0
" h) R4 |! Q. p0 x# G0 l% i% Clet sum-money 07 I9 T$ }- L& p9 g0 n% Y7 D
while[ i < people]; `2 p- R K4 ^
[
2 x; U* j5 l: e8 g+ zif( length (item i+ j& {; T C2 Q9 E7 I( @
[trade-record-all] of customer) > 3 )
" |: E3 \' d- e7 z; p, ]! C8 s/ w[
5 X9 X2 S1 }1 Q4 f+ Oset sum-money (sum-money + item 2(item i [trade-record-all] of myself))! O2 f' {% `% s% |6 }5 r$ a: ~
]/ ]8 g6 q2 j% L$ p2 S& i# Y5 o
]( Q1 g/ y6 K9 P/ {
let j 07 _2 R# m+ h+ K& ]3 @
let note 0
! g; A, Q' r0 Xwhile[ j < people]
2 a6 ]) V) f$ \* t# I+ {8 \[
8 k! I8 S& s: g$ Iif( length (item i, i1 n/ k& C. z
[trade-record-all] of customer) > 3 )" W7 z, B7 ~! _- l
[# q' B0 ~9 N9 R! y: x, y
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)9 I: A: d* I' s+ v/ s
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]( Y% {. s4 M# D' b, v0 n
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
- F$ p5 O+ f* _6 \]$ q' h5 w! b& ^: N# }" d
]
7 T7 e& }! ^8 L# mset global-proportion note0 h4 N, x) x2 H7 b+ |# D
]
. o) ~* A- S/ p: |2 dend
" i- {2 s8 a5 W# m
' Q2 J8 t s, \+ T0 e1 u t. Nto do-trade! F' X M) p2 G8 M6 e) K, {6 I, ]: ^
;;这个过程实际上是给双方作出评价的过程( B( p L' d! X2 J7 `8 A
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
: B" B, Q C7 M8 T$ l4 @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
/ o. p% H. j7 Z2 }! N+ Uset trade-record-current lput(timer) trade-record-current$ a; Z$ i% W3 v' k7 r
;;评价时间
/ C4 e: c8 @6 V8 o9 e- Pask myself [4 x% J* ]& ?) F0 X2 G- O8 s
update-local-reputation
5 W @0 Z V8 c& }6 fset trade-record-current lput([local-reputation] of myself) trade-record-current: |9 s, e* M4 B2 `+ \- a$ `" R: h7 L
]$ B# A3 D$ |, N1 s) x, m2 J/ g- c
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself: F6 g! h4 T' _& ?$ _ Z. i3 q4 L; w
;;将此次交易的记录加入到trade-record-one中6 O* K5 e$ ]% v" a0 z$ T6 ~: Z
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)+ y6 u; i7 g- ]/ G. E1 A5 N
let note (item 2 trade-record-current )
E' h, D s9 ]9 I$ n; ~set trade-record-current
6 _) t5 y+ P* F(replace-item 2 trade-record-current (item 3 trade-record-current))0 V8 Q: }. O, N# D8 o( E
set trade-record-current
1 c! K$ n! f/ `(replace-item 3 trade-record-current note)4 g M1 N3 g6 v& G% d2 ?
% f0 K/ j+ ~( g1 u* p( R: e& o
0 S2 v. l: A) `
ask customer [
! h' T5 [3 G7 C: xupdate-local-reputation
) K* K( B' D4 o8 U; [+ Vset trade-record-current( }& m: B* u& E$ y J0 ^' q5 F
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
0 y: _2 g6 V+ N! w9 z% V: M] q3 N) I4 [: h" H( U
% k- c7 R& M+ o- P' d* ?& X/ G; q% k" \
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer8 c/ r# A3 Q2 l( N' c
: q' ^' z, _0 ?6 Y- K B# }, Yset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
, T5 _0 u- r% ?# ]: r;;将此次交易的记录加入到customer的trade-record-all中" w. K7 M' K' {" L
end
- ?' P( U: ^8 z# z0 L, X1 \
8 I. J% E* t# Rto update-local-reputation/ A# {1 p& O7 t7 n7 X
set [trade-record-one-len] of myself length [trade-record-one] of myself/ c! {& [( [3 k2 x* {
% T) }: @& o- e) ^
+ Z. }: G7 b1 v) ^
;;if [trade-record-one-len] of myself > 3 ! s6 S8 e! T7 e) @6 V: r
update-neighbor-total3 e& c! y* E/ D. U' Y
;;更新邻居节点的数目,在此进行' I' `3 I! c7 d% q# j* v
let i 3
) d$ v+ Z# ~2 ]' p5 ilet sum-time 0
7 g2 d6 E( E! l" q, Z+ C! r# dwhile[i < [trade-record-one-len] of myself]" i9 y5 O8 z! E' P
[
+ H% |9 _7 C. G6 {* ]7 ]set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
4 e- P$ Z' s7 M vset i5 Z/ N3 j! y& p2 n8 V
( i + 1)
2 s) X4 X3 h4 V& F& Z$ F0 g]) z8 u5 O5 L( e) k3 y
let j 3" }/ H# p6 m1 T4 J( r8 X& {
let sum-money 0. U* a$ ~* Y$ N7 e- B9 q2 Y
while[j < [trade-record-one-len] of myself]2 {9 T i ?/ V6 l5 ^$ H$ E
[
& T- A& g3 X& R8 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)
0 h% U* f. j% l. m5 [set j
5 m) m2 V ]6 \( j + 1): `3 g) U5 n+ T2 _2 @; J
]5 D& b: @2 _; Y, }# F+ n$ r
let k 39 ^' l# t) v3 u, G$ R$ T; k' R
let power 0
a: ?6 U2 ?4 n3 Z5 elet local 0, a9 N. r( [# f8 F* `* O+ w
while [k <[trade-record-one-len] of myself]
8 S7 ]- w. r. W+ Z3 o5 m7 L8 z[
" c! f7 N, L1 R3 ^3 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) " Y* `7 Z! I! x
set k (k + 1)
, w* }2 ?2 _8 V" g]
# t2 O& n( n( W& H% g- Jset [local-reputation] of myself (local)! i% w5 E4 s8 o9 e. K. l3 i
end
' @% a5 B, p; X* ?& ?! x7 {
- y+ m1 g3 G4 m+ U) B v& Xto update-neighbor-total
: [4 i7 G q+ d3 U# j7 ^/ K$ w0 `; q- v0 q5 E) o: u
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
1 H$ Z$ x( h4 s5 K" P$ b( _: t# r9 w' P7 `- s0 K" U) B
, |' V2 b0 H9 X# v( F( o0 mend& r* x! ?; m4 p) W' g
( z e0 B$ H6 T, Y7 zto update-credibility-ijl + U3 G6 E# F0 w U
( a8 Y( D. t- `1 w# X
;;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。7 t3 t. w3 @2 V. g5 Q) A
let l 05 n+ _: S9 m- \% w# m
while[ l < people ]
/ q; G; ?- u V; N0 H! s6 \1 R5 h$ 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' a- G2 U) G7 x8 c' d
[4 X& H2 Q0 B1 T9 a4 ]
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)9 }' k) A! _# }" K2 J; p2 ?" P$ A
if (trade-record-one-j-l-len > 3)1 v5 Q& U! m3 r+ K/ 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- |& Z# K; V: \& }: m# M, `
let i 3
# A! Y7 D" i0 Tlet sum-time 0# E6 ^, z g; G9 c
while[i < trade-record-one-len]7 t8 Y8 W- e, g
[2 E7 i" J# b! H( N: C. g
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
* o9 J/ b( Z9 U5 P# V, X6 nset i
* L2 \ q) k6 I u( i + 1)
7 G7 i7 {; A$ L9 \1 u% W4 h]# I2 G% u# w5 B0 ]# S$ k; T
let credibility-i-j-l 0
" k% t- v; Z2 C$ M R. g5 G;;i评价(j对jl的评价)
* i; f6 H0 s: }, a8 z- h& ^) ~# Glet j 3! p" t# s4 p) ?& p: _; O
let k 4
# j# W Z7 R% T" M0 z, j8 Jwhile[j < trade-record-one-len]
0 X' e, u* H: L[
& v, ]9 v6 W3 x& xwhile [((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% X. h/ D' l, T6 {2 n: h' B
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)
5 B+ g5 D3 j( B5 d+ ^; t& U6 @set j4 M7 N0 Z; ^! e+ w5 f/ Z
( j + 1)
7 K. u/ H$ Y7 J/ d]
7 a7 _ A. i+ K$ c4 [8 Bset [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 ))3 _) v) \( f2 t4 U! p$ E
6 a- o" a9 x* C, k
* a& h: d: J+ ulet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))+ D, R2 k4 a; ]( H# l
;;及时更新i对l的评价质量的评价1 h# Q% _# \9 j" W4 `
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]$ |+ p. T6 P, r
set l (l + 1)
4 \9 j; g9 e: m# A8 W]1 i4 C5 V9 U8 p8 w5 |
end) ]/ I6 Q7 ?, B( R. M) G
( I: T* Z, ]* X' u: @) Mto update-credibility-list
9 p6 w/ V6 A+ \' Q9 clet i 08 E! z0 h0 k0 {+ \2 c) t& j
while[i < people]( |: F7 Q' ~4 Z6 f4 k1 q
[
$ C) `& I% n& g8 `7 V* h8 Z2 zlet j 0
4 j! B# V0 H& Z1 ]let note 0
# P+ T8 l- D: ?* z% O1 Vlet k 0
$ A5 M* x/ w+ ?) d7 m2 S;;计作出过评价的邻居节点的数目
+ Q7 Z0 f% D( u7 Uwhile[j < people]
* e' s8 I! e2 ]" X- D' C[
% R- q8 I. P% O4 u! Q: b( O7 Oif (item j( [credibility] of turtle (i + 1)) != -1); Q( f: s, @& J. g+ q
;;判断是否给本turtle的评价质量做出过评价的节点6 j; y9 Z- i# ^7 `3 |& o2 f
[set note (note + item j ([credibility]of turtle (i + 1)))2 Z$ M( G2 l: N9 [3 J7 l z
;;*(exp (-(people - 2)))/(people - 2))]* _) l4 u; W% q
set k (k + 1)* y! s" S1 M) {( }" J1 V1 a
]0 U. L/ D5 }: D+ |+ u8 j, X
set j (j + 1)
- h3 C, B7 }* G3 C1 F, \, W]1 u) V% m% x( N/ h, f
set note (note *(exp (- (1 / k)))/ k)- l* @' A4 l2 f% I6 i% c7 Z" i
set credibility-list (replace-item i credibility-list note)
1 }6 r) ]' ]' E+ rset i (i + 1)
; z0 D4 r3 s9 q] W9 o! W$ t6 W- S1 e# H# Y8 ~. k
end
: M+ S& l/ A: G/ D
/ b+ v+ C' `& ato update-global-reputation-list; [3 u Z* x- Y7 d. z
let j 0! Q3 o( y/ j3 e4 M
while[j < people]
- N! R, U" w6 U# Y# G% ^[
! C2 t& h0 `4 A* q$ v& G8 j; v, blet new 0
+ b$ j1 z+ p c& M2 v& u;;暂存新的一个全局声誉
; Q% I9 ~) x) F. ?let i 0* T7 g; S8 N0 z
let sum-money 04 c" w# B# ^3 D9 _0 a) ]2 Q
let credibility-money 03 m3 S) }. X' y; {3 e3 B
while [i < people]
7 _+ Q* D- y" j) Z- C[- F: U7 `6 S+ [/ `7 J( J9 I
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
7 o2 c6 P8 d$ n( {& {; t) b( c2 A9 uset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))$ J7 D) l2 T1 o5 t- b7 i4 o
set i (i + 1)$ @+ j% W, }% m) d2 B
]& {) a7 R+ B9 G2 `' m! a
let k 07 ` I3 u+ o# v2 q6 }
let new1 0% ~& }+ \$ b% Q- Y, G6 Q! N+ z
while [k < people]+ j9 T: K1 [8 Y, K1 P
[
$ x+ B, s! @% xset 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)+ v; L1 O$ V8 E
set k (k + 1)
' c3 ~3 @9 j6 p( o]/ q7 _5 z% l0 m9 b m _
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) . K6 b8 u7 N1 O6 j
set global-reputation-list (replace-item j global-reputation-list new)
" g2 O3 c- g* C9 W* u+ Kset j (j + 1)1 _! `+ Q4 w" i! {
]
$ d! t% _. f4 L4 Q( m+ ^end* o9 o' ^, h- E* p% i
) @5 H( A8 ]. q* T+ w! M0 V) l) N* z9 m C( a' p
5 T) T( n% f7 U6 x, l
to get-color0 x) e0 e8 r: @* L3 ? D5 [: p
: w, u( v) W8 g' c; A$ J3 j/ z7 i
set color blue; }2 z; W) S6 l0 r) A7 h) R: K2 W- p
end% J7 \# u) Q' m
1 R0 x! k1 P& L- Y; P# s
to poll-class
% ]0 H6 f7 w8 o; _8 U2 ^/ vend
2 H& s0 V: B4 d, D
4 o S4 D% Y8 qto setup-plot1) v" n F' G& Z( Y) g* e, W
8 v" Y8 }# ]! _1 o qset-current-plot "Trends-of-Local-reputation"
& T% ~4 w, O0 l! x% p8 w( J( _( S' Y1 \5 C- E7 K3 _" j& s% ~/ O
set-plot-x-range 0 xmax' ~% z# P! y) n5 @0 }
6 `2 D6 u, |5 ]/ P) E, s X4 Lset-plot-y-range 0.0 ymax
7 t$ F6 H8 d% G/ p% Y, rend
/ d: d$ N0 A4 x$ u: _) M
# _- J1 J& f& c! A M2 D% Bto setup-plot2
' u& Q0 P5 J1 h' C% J2 q7 V. o- E: _' X0 H8 U6 T
set-current-plot "Trends-of-global-reputation"4 l8 b, G# _ i: C
/ y+ y8 Q, L) I, J' m% D
set-plot-x-range 0 xmax, V" V0 s- C/ l2 b7 C" O
( H6 i. q8 H# a g/ Z& P- {8 o
set-plot-y-range 0.0 ymax" l8 x! E6 K2 s
end) V) N: N: n v; y7 Q" ?) ~! ]
: F5 E+ @) X4 @ z& Nto setup-plot3
* I d- p+ G% W I7 J& k9 q) H9 ^2 l$ r. W3 d' [1 c p. t
set-current-plot "Trends-of-credibility". }. _' l6 k6 j% f5 l/ B
% t3 q6 |4 e/ l* K& X
set-plot-x-range 0 xmax" {5 D! W) s4 S* }* [# A( r
5 s! v( z. c& D3 t0 V7 Xset-plot-y-range 0.0 ymax, `' A2 b7 S& {
end/ e8 x0 @9 k! ], T5 A
4 J& v s# Z* z& B$ r; R% c
to do-plots- p% I5 A7 {* t% q( I# G
set-current-plot "Trends-of-Local-reputation"3 l# ?/ H2 s& i+ s, W
set-current-plot-pen "Honest service"+ @) Y7 D: f& g$ Z
end
" u* ?9 S, u. }4 U( e# K
* i8 S: j8 o6 x/ \7 f# d[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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