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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 A& I9 | p# U: j
globals[
5 v; Y) @9 {9 d& k4 |6 |8 zxmax2 r1 i* M& a/ |8 s5 D# z
ymax
4 C7 F# h: B" b: w. w- `global-reputation-list
2 h5 G. n( G1 S* F& J) l1 Y( _3 J9 g; y0 i4 y0 G- {7 N
;;每一个turtle的全局声誉都存在此LIST中& {* t+ ]3 r W* ^4 A, l" T3 _7 V
credibility-list
8 t* {6 Z/ B1 t/ q: n+ S;;每一个turtle的评价可信度
. [: @' W3 y1 J( g9 {1 u. ohonest-service- z7 ^0 Q/ C) Q5 I1 W
unhonest-service* f. [* n7 d! A+ L/ _; |0 Z4 [
oscillation. F" o3 ~" x! p% f
rand-dynamic# l/ F4 X& w: _+ a3 Q$ G. [1 G
]
+ i$ H! d! K( @, f# ^4 v# R4 u5 I
% _* ^9 P( ?7 Eturtles-own[
: Q) y8 d' o" etrade-record-all
9 g2 F9 C$ E8 u& W" [;;a list of lists,由trade-record-one组成
( T( h' L' `5 h% Wtrade-record-one
9 _( U4 f8 w6 g; x" U; C; X;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录) |, n; F$ X5 ]' |8 N
* s, e2 \- V4 A! p4 L+ k;;[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]]
1 K6 y1 e0 Z! E9 [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]" J9 B2 ~ ?; E9 p& m6 q
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
2 \( b2 E8 ~, o9 S. nneighbor-total
L! s8 c5 j4 i% ~$ d! q* `;;记录该turtle的邻居节点的数目
5 U9 C9 `! |7 `" x3 E! Z7 Utrade-time1 T, d; h: G% v: D% x8 U( }" k. k# h0 i
;;当前发生交易的turtle的交易时间
6 z+ {. u+ v* jappraise-give! W/ f1 P! i ]0 G( P9 w
;;当前发生交易时给出的评价
9 I& x. c* A/ Mappraise-receive
. j, b# ?0 [. M' G o6 A3 d;;当前发生交易时收到的评价
3 t0 _, w0 h" S5 ~0 `6 Wappraise-time* C/ O V! n% F4 }
;;当前发生交易时的评价时间
2 \$ l! M8 Y/ G) o5 Z& @* Wlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
; |4 `& w$ S3 Q. z$ utrade-times-total
6 F# Z( s& }5 b+ _; h% ];;与当前turtle的交易总次数5 I3 Y! ]$ F7 [& C r* X1 M Y
trade-money-total2 E! j+ f5 M% K. w) l
;;与当前turtle的交易总金额
* X, p! s; B9 X2 A/ A4 glocal-reputation
0 V8 y: f, f8 A$ P: l: h. gglobal-reputation) B y4 A! K0 C0 N; U
credibility
7 d ?7 |7 R; I0 h1 G- }7 p. L;;评价可信度,每次交易后都需要更新; ~+ t s% f5 L) K' v- ^3 B
credibility-all( v. B5 Y: S" T( X
;;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
, I4 z: M% j# ?0 x+ S( {- D
) d% x P v6 V;;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
L! r4 p+ L& R4 e6 z1 `& i, jcredibility-one% Q8 B( J8 G! Y# w" q( a# C) C
;;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
; T) b6 I& B# ?0 L) S; m& kglobal-proportion' k" \6 m* R- ?
customer; K5 o; f8 A* E2 S; x% e- o5 R* J
customer-no# z' t0 |! e/ U: b) v
trust-ok1 t8 T4 w D% s' p$ ]* z4 w; x0 w. f
trade-record-one-len;;trade-record-one的长度1 n, W' |% e c5 ~0 H M
]
; U! e; j& X0 u' e) ~
8 b2 L/ e; [, R/ |, y8 y; Y;;setup procedure( D7 m* d/ V8 C* S- j4 h
) E: u% t7 {+ B6 J' E& Xto setup- M7 G; x ?9 R+ l6 D8 {/ t; ]
0 p7 |. Y1 ?3 p) C. S* e! L# a9 C/ gca
2 p' c! D3 C0 t$ C g0 @( x; }' s0 Y- K. C
initialize-settings- c F: r6 Y9 n/ `
5 L) }4 s' A! } `! Q/ Ycrt people [setup-turtles]
8 x& j+ w, D+ j9 }6 e
4 T, s/ Z! A' N$ H J- w" f* Preset-timer
\5 H* G, Q( J2 {" E5 m- b2 n, g) P
poll-class
7 n9 U ]; ?7 L$ C8 x6 `6 A/ u
' M" `' S* v P) `9 m, }+ Lsetup-plots9 y1 w" ]7 d4 ]
' i0 G1 N* f( y C( g7 V9 L
do-plots
7 w* Y7 ^& }: h, U- ~. [; A' Nend) _2 a+ d! t$ u R7 W
4 }8 t& f' Q; \; xto initialize-settings
4 ~ k5 G. }3 }" L z6 i7 ^% E2 I2 O
! p8 k* R1 `$ j+ X8 qset global-reputation-list []
. z7 `' D- R2 F& l0 ^- p# ^5 O2 q' F: ?" G; W2 z, m0 S g' y" \ i- d3 }
set credibility-list n-values people [0.5]
8 ~) _; T# z9 q) H I3 J0 A1 l1 s% _6 p
set honest-service 0, s# K: {$ d U6 m1 _
1 G H* n: K( F
set unhonest-service 0
6 r% T8 T( F9 w, A/ W8 i7 H1 |2 r. Y7 Y* B! a- H9 ^; m( T9 o3 V
set oscillation 09 x" ^8 \& }8 J8 [9 |" h* a/ y w
5 b! o, h4 ~1 \, ?4 `5 I% b
set rand-dynamic 0
3 u. k8 x8 I, n# n) Zend% w3 N2 I. o! q+ t7 {5 y: n8 [
; R$ q5 N$ j9 H# yto setup-turtles - o! {4 {5 M, J4 i2 p3 w2 k
set shape "person"
) Y" M5 h: D0 I* I+ y ksetxy random-xcor random-ycor& R/ c J J) U3 e+ K5 b
set trade-record-one []2 X1 {, x" w& s9 a. C
u% ?$ z V: K, Z3 _
set trade-record-all n-values people [(list (? + 1) 0 0)] 5 q" V1 E% ^# b
% Y6 R9 y# j# l3 p4 Bset trade-record-current []
$ L3 C6 Q# n& U) Y$ B Yset credibility-receive []+ N, A* q1 g2 T6 o! D- K; `
set local-reputation 0.5. u8 ]" J8 F* n; S3 f
set neighbor-total 0
! v5 g6 `2 y/ lset trade-times-total 0
7 b2 `8 k7 @2 p) L' R8 hset trade-money-total 03 ?: n" R/ T! L1 S. c
set customer nobody
+ S$ j z1 I6 e @. C7 pset credibility-all n-values people [creat-credibility]
5 A3 s* B' M; K8 z/ S4 @set credibility n-values people [-1]
$ a1 W# x2 ?; r- Wget-color v2 u/ N1 W( e, A; ]" D
; V$ g' S9 |- P E4 s* f7 H7 `
end* E& Z! J: D2 R2 g" L, k' R& M
9 Z. ?$ F! o' t: A1 [3 Bto-report creat-credibility
3 a: M$ }, R, B& U% d" X" Creport n-values people [0.5]
1 q j( i# Q1 A% g" u4 k* h. Send
: p+ ?- {; ]" b8 _0 M3 m" w* ^ I
& o6 Z. V/ B: |to setup-plots
* {9 M% n4 z# X& `- H ~7 f. @* T7 t- H1 @5 v
set xmax 30. c, c" @- c1 H) S# }
2 o$ `/ i( Z5 M* J
set ymax 1.0
' F3 M) Y+ v! A* a# m \& f3 c) ^" t6 p9 H0 [9 d6 B, {; E
clear-all-plots9 n7 U- ~- e( R
& D/ c* k6 c: [$ ^5 {
setup-plot13 `/ b1 ~) P _9 ?& {
5 b) |. `( G: t% vsetup-plot2! L; T8 c4 F% H- w- g
' {% k1 _. G% l1 V
setup-plot3( V: x; L9 g/ `+ P. N
end# e0 M$ l% W/ P) I" p3 t/ \
6 n+ H# A% z( _8 t;;run time procedures
1 C7 C, b; S9 o$ }, ^8 x+ n. a
6 X2 q" p+ \0 B" Ato go
- @! Q6 t! \8 o- k/ Z4 Z D
+ y5 Z7 t7 D7 F/ pask turtles [do-business]
. a4 {0 U6 F1 B5 \9 i; Uend1 m9 K3 _4 s/ `& @
C/ ]8 E* c# gto do-business
0 `& Y4 {+ v& s1 y+ Y+ U2 o/ J& b5 t0 M+ H8 r4 ]# G" N# h4 C) h
+ F- _ p7 }0 R/ s) p2 ?9 O8 F0 j9 Lrt random 3601 _$ C* v/ I* V ^; W
* U5 [" j0 s- u% }
fd 1
% x% N1 Z" ]& E |
9 G0 [. I& y; }7 x# z! @ifelse(other turtles-here != nobody)[) A0 [7 P: a7 B
, G! C2 P; d, ?
set customer one-of other turtles-here3 E0 \5 f% A2 Z- f
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;; set [customer] of customer myself7 \& r, H! l0 r, A
" p O+ l/ p' ~set [trade-record-one] of self item (([who] of customer) - 1)
0 L/ F& d l9 h; o. P1 L" m, Z[trade-record-all]of self9 D3 W; M l1 t7 k0 ?( V
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self. J5 P, M0 d* C4 A% J: P0 R# O, L
, I+ c% T5 X3 c, b$ ~5 z
set [trade-record-one] of customer item (([who] of self) - 1)
; f# x' _+ y5 ?$ P% z6 O1 N C[trade-record-all]of customer
; o: [0 e# M6 R- U
S8 C. M- V; Y/ \+ N# S9 Bset [trade-record-one-len] of self length [trade-record-one] of self. Y% P# [! Q( y
( B+ A/ K4 Z' f( x" n$ p, Rset trade-record-current( list (timer) (random money-upper-limit)), c4 w& d l- p5 x
_7 F- E1 g! o# W7 i0 ]
ask self [do-trust]. E% m9 o( |9 B3 H" z
;;先求i对j的信任度
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if ([trust-ok] of self)
1 t4 L/ w o! U" D% {8 X" n;;根据i对j的信任度来决定是否与j进行交易[
- O( o6 Q0 Z4 T% S" fask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
+ ? G: U& J; m/ J7 I" P
1 V" N! U& |. F# v[
$ y, x$ s t' o& t# a0 ]: |$ K1 N; y$ H' c
do-trade
% p! |) @, ~+ l; ]. { f
: O4 y h* B$ R% rupdate-credibility-ijl0 S. \, J8 b& {# [9 i# X4 z
5 K. t6 j& c& d3 z" ^0 Xupdate-credibility-list- `' [3 D) H0 J, q* R) v( K9 V
, M5 x) \) P# n1 y% m6 o0 n% X5 s
l" C% n7 F/ cupdate-global-reputation-list
2 p8 l% r" z7 M) U3 M7 r, T5 t( n& Q
% b5 B- `$ q3 g, n Npoll-class# R) l7 a. T7 R5 A6 z5 n/ k5 [
/ }# {( u& V" h/ e9 N/ C9 Lget-color% s, c: J; R, m* @% P, N7 p
# H$ e4 A3 j+ p$ \& s]]
/ x' W/ q( W5 F' @5 Z' y1 S: w3 _2 d3 J) I a: x6 R
;;如果所得的信任度满足条件,则进行交易
& }. f& z5 A5 G3 j( F* E: u0 H; g" q8 D- O0 m& z0 ~. F
[
% w7 o$ g0 W' o& Q7 q
' D7 u) R2 E8 \' j' Hrt random 360
{" Z% I+ ^) @7 H, u9 {# Z2 h8 B! u) v+ y" D0 r: z' W
fd 1* d8 B( P: P: u; j" a u' Q- j
$ o# }% z; z% a]) V! K0 c4 l, I5 x
" P( C* s/ A$ e& u7 rend1 Q2 Z% y2 C, @% R
% \ W5 {9 X; }/ _9 j
to do-trust $ x# [9 c7 q) S+ x2 d
set trust-ok False
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( F" m$ Q/ S. l' h9 B) L% V: Elet max-trade-times 04 d% V( n* l# P% Z3 I
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]9 X3 H3 c8 X7 s* @
let max-trade-money 03 ^' K9 \2 _+ {* e$ \
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
% q7 i1 k% u6 i, e! S {let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
0 x: i, B! R% G8 W7 l S5 e7 y5 f( Y0 c1 k# P( @9 e0 o0 `+ n
* a( M0 [9 S/ f- q+ k5 Eget-global-proportion
/ e! E9 V/ {% Q4 A: S }2 Alet trust-value
6 k" w4 f" r, ?5 k* Elocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)* T+ L3 E8 K0 |5 h
if(trust-value > trade-trust-value)% ~/ g7 U$ r; r2 J( ?1 C
[set trust-ok true]
" W" |" H: ]3 }" t8 N8 qend
* t" b6 \: L: q& D% Y0 a7 ~$ p5 X2 m
to get-global-proportion* t5 b1 [# e- w6 n# K8 i' C
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
3 A' [+ K" K3 Z[set global-proportion 0]
6 B! G) b8 G1 O" u" n[let i 0
' l, S& A1 Q* ?( s9 \& o* @let sum-money 0+ X, d4 c$ M1 f2 O9 ^6 W
while[ i < people]6 A/ I- X1 [* z" ]- k2 i6 z
[7 t6 I+ E+ b- l
if( length (item i
' `8 c# T0 a- S3 y W; ]- j[trade-record-all] of customer) > 3 )& l9 X; J8 `4 i& Q1 \+ Y1 V
[
- e. M7 C" z2 M; Q; u% Mset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
4 D+ |0 m9 r J1 C7 z]2 ~( P- P8 V+ i: D. J
]0 t& G. l8 e! R
let j 0! H. y8 Q$ ~% f: r" ?2 Q2 `
let note 08 m. Q/ z9 X1 j1 J7 n1 v, M
while[ j < people]
8 u! T& l! g- o) h1 G% W[9 R5 p6 W; N( l' Q
if( length (item i
3 Z" m! p5 o- c9 S[trade-record-all] of customer) > 3 )
, t/ T" k' u3 m5 q[3 z' U: q7 c5 X% h0 j6 |/ ?
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
v% b7 m. t5 z; U0 H[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
; y; b2 v5 C. B' s! f" a- T[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]& H# z9 I. B2 A1 l {- h
]' q1 y2 c/ m8 i' a) ~( V+ J
]3 {0 O! z$ B3 H5 d. m# M. R7 }
set global-proportion note
2 S. c, s2 g2 o9 f" e6 h/ @! D]
6 e& M1 b4 X( H# |) A3 R Qend1 w; I( P1 v2 z; ^9 t* r' ^
; h$ G- j: [, q k8 \% c9 m& y# \
to do-trade
( P+ R ]' n" b9 Q2 @: ?;;这个过程实际上是给双方作出评价的过程7 D4 z$ @; c r' T. E1 x
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
6 s5 K& |4 N5 o8 h! @set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
) G; B! @; q5 {9 q9 y* f6 jset trade-record-current lput(timer) trade-record-current
+ K5 n& v$ U* d$ P, L;;评价时间- Z! G3 a% q1 p/ t" x) R+ G
ask myself [, l$ a" @: K! E; z9 \0 h
update-local-reputation
+ E4 j7 B5 n8 ^ t( i6 sset trade-record-current lput([local-reputation] of myself) trade-record-current, H; ?9 F! U! p' e" l: ~! q4 k
]0 Y0 I! {( m) n' x( J; \
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* c( Q8 Z8 g v0 ^( ~5 M
;;将此次交易的记录加入到trade-record-one中1 n$ E" c7 r1 A6 ?/ B& Z
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
2 h0 X$ }) _- @3 Y: {% Klet note (item 2 trade-record-current )
; K6 I( S4 a* K8 ~set trade-record-current0 L- u: t" C: ?2 w2 A: r7 D; J
(replace-item 2 trade-record-current (item 3 trade-record-current))
0 @/ Y% n* {" N$ D; U( j! q/ bset trade-record-current2 T; K3 S, T1 ^8 Z1 c" W7 O* Z; N! |. J
(replace-item 3 trade-record-current note)& i5 \; {8 q# ~7 N$ q- q& S/ y
/ e8 b n' M3 M6 B0 H. a2 J* ^+ T) ^
ask customer [
, \+ N" v# Q c: {/ _3 \update-local-reputation( v1 o) p: w% j6 s
set trade-record-current
) C* H2 j5 a: M6 y8 M) n# J% s(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
a5 L2 P3 }( z% ^. |. u, F$ o! H0 Y]( M5 P! J6 R! c: ?& L r0 X
6 l5 o0 W4 @- V G. u$ P# h8 X, M( Y" c/ {% H3 [( C
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer" J8 ]. G- E5 h$ \* T9 \
2 C4 J4 V' G) [set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))7 T1 E ]9 |% I: V( U8 b) ~
;;将此次交易的记录加入到customer的trade-record-all中# B5 g+ \! e- g
end4 @0 K9 ? J1 T# |2 @6 s, t0 g
- }' n/ X' i; U
to update-local-reputation
" U6 J$ d! |+ V1 @( x0 \set [trade-record-one-len] of myself length [trade-record-one] of myself
0 b9 T. X0 z( k+ B1 f
0 H5 g/ }6 y {, P C
) R% { A& c+ v4 Y;;if [trade-record-one-len] of myself > 3 . N# k: a+ Y' c5 A$ L ?5 h
update-neighbor-total
" ]; Z( c" Z' n3 B- P* L;;更新邻居节点的数目,在此进行+ w% M5 O8 D! b, Z
let i 3
$ Z5 J; f2 l. s9 p" |' S' Olet sum-time 0
% e( A2 W& w9 w8 A- u; f! ?while[i < [trade-record-one-len] of myself]
7 a {5 u$ r+ ~! ?+ u$ w$ [ @: H. i[! Z2 C h% J2 `) w2 M5 G) s$ T
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
4 z7 V# j6 M# C5 z4 e5 rset i
& M" n- w( w8 ^2 m, s( i + 1)5 U$ e+ [% p0 R5 v5 s e2 T
]
# K6 x$ U' o. B, [' ?0 L7 dlet j 3
M5 N9 J% w0 q. O$ U9 }; ^' Hlet sum-money 0
/ y7 N6 B: n# ~- G2 t) Z& Ewhile[j < [trade-record-one-len] of myself]- E+ e! S$ e5 O5 ~( U8 O! X) _
[
& d0 O0 o9 g6 z7 lset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)
1 [& h* y( }4 Z0 A1 A+ ^set j3 r. G Y/ l+ t+ S7 u0 f) ?
( j + 1): Z h8 ^- D* E; S
]
4 P/ S4 i" X2 e2 c$ Elet k 30 I4 E7 n, J: m3 ^- |! s: V
let power 0: K x" [7 e6 Z* N5 v) h& N
let local 0" K/ y: T3 V0 L8 F9 `; F0 n: Y
while [k <[trade-record-one-len] of myself]! C% n% g4 B# i
[
: Q l- g. v; J. q; q$ d; pset 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)
7 {6 ~4 h) [& d3 Fset k (k + 1)7 M7 _' e0 {) w8 {: u( q
]: G4 L8 M9 v8 [3 \4 F" ~1 C
set [local-reputation] of myself (local)' D4 u; ^! P c) q7 S* j
end0 l" U1 q1 A4 E2 H
5 ~+ k8 u0 I: O' m
to update-neighbor-total% X8 _ e+ K6 h" e
) t% |- k0 q' [6 L9 _if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]9 f, \2 k5 _: S! Q
' ~ G% E4 d2 H4 o2 \7 k/ r% q$ ?
- r8 q1 X+ z4 C" U( J& j3 n) Z3 O
end7 ^6 R* |! }6 {) T' x9 K
3 h" `0 |8 v4 G4 r5 v; k. U
to update-credibility-ijl
* b1 r6 m3 ]7 ]- Z: k$ M
/ b& A% b6 ^6 u;;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。% F; A! ]* b# w' \# _ c7 }
let l 0 R/ ~2 f6 y6 w- A5 f! e
while[ l < people ]5 f3 S) y; ]. h' _; S5 ~( S
;;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7 k- O0 D7 s/ L
[
8 O" [; w- r8 x. C. Nlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)+ T- m I q& }7 O- I0 a+ L8 C( q2 o
if (trade-record-one-j-l-len > 3)
8 I, ~: @4 l; B7 Y) t; s. \[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-one6 H: V/ `+ M: ]! Y9 t+ X8 `
let i 3( t* w. ^* M, q0 P' ~. k
let sum-time 0
3 K' _: q" y9 s9 G0 rwhile[i < trade-record-one-len]
" P& |4 G$ a7 q3 @0 g0 Z f' \[
6 l7 B! h; } l& }set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
6 L# o" z) q. Pset i
0 `3 i0 `3 T: F0 i: x9 t% R( i + 1)
5 U D8 `- t9 []
5 {! ~% C% e" u- Ylet credibility-i-j-l 0# W. F5 {8 ?, C$ m! Y5 V
;;i评价(j对jl的评价)
9 P" r" K4 {2 ^3 {let j 3% }# f$ H5 x( d; h& V" c; c8 B
let k 4
# L1 O) X0 r$ j1 M, X7 xwhile[j < trade-record-one-len]
6 L# M3 f$ J3 ~3 G- |: \[) U; u8 F5 R0 A8 X' ~) |
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
/ Z; d* A' [* f1 K$ ~5 j tset 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 @' ?" \- c( L/ L$ Nset j
; R+ R4 y( A1 ], s( j + 1)
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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 ))$ H5 Z% Z- B' s$ ?) a
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5 I* Q9 u5 }) f O
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))2 x- \- N" R0 E& O
;;及时更新i对l的评价质量的评价) b/ g. i1 J/ A" L0 F3 ?
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]9 j% E1 p+ R" l6 Q
set l (l + 1)1 b9 X4 G: ~7 N
]
/ V) u) h' [) q& z4 Zend
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! k* u0 {* m1 H3 B l) Xto update-credibility-list
3 \; E2 Y5 R+ p6 n; N% dlet i 06 T- s, w: J# q2 v8 k: ?
while[i < people]! i5 O# @- t: U! [6 V: M' ^% ~# O: f& i
[: z9 C' c* m- t, M: i0 x9 f
let j 0
& c9 K) r# v# Q- rlet note 0
! t7 v; |# e+ p4 l% i3 S1 g9 Rlet k 05 d' u9 F9 g+ R1 I/ k; W
;;计作出过评价的邻居节点的数目! C6 {; v7 N( [/ o- A; x
while[j < people], s$ ]* O: X* h4 ^ [1 M6 v
[
8 |6 S' [4 _8 u- ^if (item j( [credibility] of turtle (i + 1)) != -1) B0 H( R+ G6 I4 t# i
;;判断是否给本turtle的评价质量做出过评价的节点
6 D$ p1 P/ m& g% @0 D% H% }[set note (note + item j ([credibility]of turtle (i + 1)))
5 x8 ^; L8 N1 P;;*(exp (-(people - 2)))/(people - 2))]
4 |1 n! Z5 x/ v3 u2 f$ fset k (k + 1)5 ~+ L [+ c& k1 ^4 Z
]
2 n2 W6 D/ s3 Kset j (j + 1)4 z7 t# B1 ^ Z, ~+ \7 u
]# `& I2 h w% A: c& w" F9 S
set note (note *(exp (- (1 / k)))/ k)
; n% W, o$ w/ Zset credibility-list (replace-item i credibility-list note)
" j( k8 I* ?7 E, rset i (i + 1)1 T9 j3 f* o: A& x! L; X6 X& B
]! C' {! t- r; Q' c4 T: P+ z
end
9 Z& T4 g. L y. g: i2 n+ b/ U/ L, V5 o3 f4 X% Y
to update-global-reputation-list
6 D1 m8 o( k" U$ v8 I! dlet j 08 o. ~& k! T5 q. J% p, T- G
while[j < people]
. K+ W1 e4 W+ k4 Q% ^: C[& h. _' ^' ~" c6 H% X7 I9 ]+ F4 q9 v9 L
let new 0
$ D; v2 u6 R: R/ e! h, Z;;暂存新的一个全局声誉) v- I8 h3 {% Y+ [+ t7 y" B+ X
let i 0
3 o: w' B0 A9 L' c; u6 wlet sum-money 07 D% {8 ]1 d \- r' @
let credibility-money 0
6 C) t- [, C- nwhile [i < people]7 v2 S# N! G6 G8 }5 S1 I
[+ J/ X5 F% U7 H' y
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
" {' w1 F$ z5 @2 B; H$ lset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
1 c U' B! X8 w! w+ s" c: W0 D kset i (i + 1)
" w; L: p- X7 ]$ i& r]* }* N% ]- m; j( f. U
let k 0+ B, h+ C" B7 P, I
let new1 0
. d* P. B& Z8 }. L4 P2 Nwhile [k < people]
0 ~5 q7 a' G( k[
/ q3 I% |; O. f) eset 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 t$ m: Z# ^& i8 x
set k (k + 1)
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set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 7 W7 z! I7 |# }( @4 E5 F' k3 W+ [. K
set global-reputation-list (replace-item j global-reputation-list new)& K8 ~; J, X" ~
set j (j + 1)& k5 j$ s9 r5 @- |- b9 X% |: W3 D
]! q |- Y% O" }1 j. e; q O% Z
end3 c0 K9 D) \$ k S7 p+ t
) U u( L; Z8 K! q# B2 u$ a) K- S
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to get-color: x: c b; S4 h/ m
" l5 _: h8 j: b0 K0 p# [set color blue+ |5 w2 x" U. B
end
% p' X2 x( n: K. d1 p/ _- O
( [- O! e `9 F- A* a6 `. n2 ^to poll-class5 |" Y3 j1 C! ] d. o8 i
end& B- b3 ?# J; m) X; i
& P# _1 f: W/ @1 a5 @
to setup-plot1+ V c3 k/ X0 T& H
3 F1 A' T1 q# ?# V1 r6 uset-current-plot "Trends-of-Local-reputation"/ a8 N3 o: H8 i* W4 _5 o
6 @8 N# A4 K+ a! F
set-plot-x-range 0 xmax
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6 y2 m1 P7 Z# b u9 ^set-plot-y-range 0.0 ymax$ n e, b( m, P& Z6 Y, l
end
" \* `2 _1 B* d6 \& H- g
/ O& k. `- `+ S$ y( n+ k- Tto setup-plot2; U" c0 m. T( {4 a5 A
, q7 `5 }, L) Q+ l4 o. v
set-current-plot "Trends-of-global-reputation"5 y5 t! C9 x- R5 F! _6 c6 J7 b
1 l" U d# o' h; h4 z' Y6 v5 p$ D9 Hset-plot-x-range 0 xmax) q/ J0 P+ W9 E& Z, i
# \ z% U) o$ y& `6 y
set-plot-y-range 0.0 ymax$ a, I$ K* x; I) w
end7 v: [- [% q& T# Q2 Q( z2 ] P
* P& t' d5 B3 ` t$ ~
to setup-plot37 V7 o/ T6 H* S5 `: M$ W; z9 I
2 h$ x4 n; ^- Z& \7 n
set-current-plot "Trends-of-credibility"
" s, z M1 S, n; Z& `
3 s. }. G, E4 P8 K! T0 vset-plot-x-range 0 xmax8 F! M, u7 O/ z- G2 V9 u
6 d( |, V# ` O8 v5 \' f4 r6 I0 Iset-plot-y-range 0.0 ymax8 D7 P/ \* U+ i0 }0 X" i
end# F7 w- X. F4 J: n5 J* i
, t' p p/ ~& O. Oto do-plots
5 p8 M' x2 i3 z3 Hset-current-plot "Trends-of-Local-reputation"
V5 v/ N8 U' r+ `" sset-current-plot-pen "Honest service"5 k$ u9 z% i9 w( ]* p+ U: w
end
8 m$ f3 x: u* k t
2 O0 t7 H0 _7 `0 B[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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