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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
1 a2 y0 q2 `: [globals[
% t- h: ^; H! O8 T8 i$ G7 Uxmax1 N# U: e( Z w6 w/ P
ymax
8 X3 n- B' L$ h$ d! \global-reputation-list
( X9 `2 L" V; d' K! j/ Y. c0 t# E6 w
;;每一个turtle的全局声誉都存在此LIST中
: F; w8 B" i# g0 {% e6 \; Ucredibility-list0 h( v1 m2 M" r9 _ V) h6 i
;;每一个turtle的评价可信度
6 K2 @0 ~( N0 Lhonest-service: y, S! |% P# I( [: ^ ]: t7 {
unhonest-service
, p8 ~, e. B/ p+ moscillation; p/ t9 f" |# Q7 {$ Q5 w
rand-dynamic4 |' k/ X* ~ g5 ~9 {% m0 \5 B4 O* p
]
% ^( }0 @. k, f0 j' p- y! n% H7 s
0 {. e% ]- L( m# t Y/ O3 sturtles-own[
5 o x) S: v8 d5 p/ xtrade-record-all! h6 C7 b8 I3 C/ _: r
;;a list of lists,由trade-record-one组成
3 u! g+ [' N$ o( p5 Vtrade-record-one
$ k; O) N0 R- f+ H;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录0 @6 t& n4 X* ?/ t+ V
" b6 U) H. m7 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]]
0 B+ y# h; ]+ @/ w$ [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]
$ y* @; \; j( qcredibility-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
# P5 Q+ K6 d, E& o, Nneighbor-total' v& R, }+ [7 b
;;记录该turtle的邻居节点的数目
8 C/ ]1 I* z9 u# W* z. j. b" f3 etrade-time! P/ V) S. ^4 P$ @/ y6 h0 V/ s
;;当前发生交易的turtle的交易时间
9 l, s7 S8 d3 V2 `0 _# |" g% g; x# Jappraise-give
5 h3 x8 P9 t! O8 c3 x' Q;;当前发生交易时给出的评价% _/ w4 t& v5 E
appraise-receive3 {; c$ i# @" P& {; j$ X
;;当前发生交易时收到的评价1 A: N9 K! G0 U$ u d2 X
appraise-time
- T( d. }% p% \;;当前发生交易时的评价时间. ], z- w$ Z* h3 s+ t) e
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
& H. j. i" V( \9 x& m; I0 f" H4 ^ c/ H( Ntrade-times-total
. L( y- ?* [5 }8 _/ P;;与当前turtle的交易总次数. _" y3 H& |3 G3 z9 E- D
trade-money-total
) N- b( b3 F9 _! `;;与当前turtle的交易总金额( h$ O4 ?( m% C7 Q @
local-reputation
$ s! ?# ^7 D7 M1 m+ @& pglobal-reputation+ g; I/ ?3 Y# d6 w2 n4 E
credibility
" X( y; k) D* x& ]9 h5 Y7 F;;评价可信度,每次交易后都需要更新
( P2 g5 R5 Z |5 k9 K* \credibility-all
. ?8 \2 B7 G& Q N* q;;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0 k* m, E: S( L+ z. n1 M
8 D: Z7 H0 ~. Q8 v2 ^0 A8 c
;;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
- N4 Z) Q, z, M% y: \9 R6 ?3 h) x: V6 S, pcredibility-one
, e0 |2 G7 V' i/ g' @; |7 I;;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 s) }& v# w( r* N2 x- t8 l/ @
global-proportion
3 a8 q- l- C- _0 [9 z( U+ }customer
N1 y4 m. [) X7 Q) q. ycustomer-no
" X' V q( L9 H3 k) Z4 B' d$ ~trust-ok
% g2 G. m: |3 x6 D2 N+ Utrade-record-one-len;;trade-record-one的长度
( _" x; a! `3 x. S: x]# k. b! V3 H% N% |2 Q. ~, T, k
4 J% _& w U' j* r! ?
;;setup procedure
4 N! g9 \, f" k$ t7 S& [
8 ^5 D2 [% ^) S8 N% `to setup
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ca6 \3 i) E- z: ?# `+ K
+ y( @+ |1 T, s" I% Sinitialize-settings+ J! ^1 H S& p* Q9 w
# |- K B4 I" ]: |% e% A5 d/ @6 K
crt people [setup-turtles]( E4 ~+ m( @* ^/ L
9 [$ [" G% l; M h0 v6 E; w
reset-timer# f) ~" g& @* d. d7 z! O- E3 r
# a' f1 h# R5 ?/ |3 {% Ypoll-class
8 i9 h" f6 B6 Z) x, X. C) @5 f& m, z) ~& B7 g ?" A& r
setup-plots5 G( ]9 l; \4 x( C
) J* _9 F6 d7 W, U2 n W5 ^0 F# i
do-plots
6 X+ R3 Q( |" b2 q6 ^. fend
\% {$ S. a7 K9 @9 ]+ `" Z% B1 D. B0 V
to initialize-settings
/ h" K5 B. q `8 {7 }2 u! X9 X4 Y+ c8 r
set global-reputation-list []6 m; S+ }' Y- V( V( F* c# h# ]& a
1 w5 M7 |: ?+ R' `- w5 c4 S" ^7 ^( }set credibility-list n-values people [0.5]
; Q Z0 |5 c* P. i. A( q% j- ?$ J5 x: b6 L3 q3 M& e! }7 h
set honest-service 0; J# g, L4 W: y' n8 ?
/ I( K5 N! e% C+ A T5 ^( ^
set unhonest-service 0, m* s% \( i" D; a4 v( K4 J
, v8 C3 v! g! Z. k! q. o- Xset oscillation 0% C5 J9 h4 b0 u5 ~. E. I" ^
) Q) W3 R0 f) S
set rand-dynamic 0
) f: h# R$ T( u1 ^* y# G) G6 |" ^end* E9 R2 H( [% j# r$ ~& u
@$ t9 O3 T+ y) n0 k& ^# [
to setup-turtles
4 S, @! Z5 T, p) _set shape "person"
; U* V* c. e& `setxy random-xcor random-ycor8 B: I3 i' A# ]* s. B+ x0 X
set trade-record-one []
* K9 M: D8 e |$ [& b/ x% J6 S, f0 U2 P3 F: x
set trade-record-all n-values people [(list (? + 1) 0 0)] 9 s' D' d% |% ~/ p4 ?; g- Y3 u
8 [! z, Q0 G* e1 K9 t
set trade-record-current []4 D) r- L2 r- }
set credibility-receive []* P" y6 [% s6 A' d; {
set local-reputation 0.5
$ O, g# z8 R$ |) N& Vset neighbor-total 0
8 G) z7 X' ]4 j% Uset trade-times-total 0" ?9 g% Z. Z# l# S
set trade-money-total 0- n( a% y$ G: C/ _: b) Y
set customer nobody6 e3 x) O- q' L4 k# n
set credibility-all n-values people [creat-credibility]! Q( c* U# D4 W. z" |; A, g
set credibility n-values people [-1]' ?' `4 q1 b; J! J, h( ^0 R _8 I# o
get-color% L1 m( q" ~8 o3 ~
" d$ _$ m& E! l& \" ~1 ]end% m& E# t+ ^ z
: s- u% B( h0 @/ _" u2 ?/ f# Z/ d/ hto-report creat-credibility
$ V+ f- M8 G; \; O; C5 S" R+ creport n-values people [0.5]1 R/ c6 I$ r, q5 w4 a& P) z) m8 ]
end, Y2 ~: W. Y4 S7 F$ `7 J
4 d5 L: b, M' z! z+ N
to setup-plots
/ n$ W# u l7 R `/ E1 D& B( J# g; T% x% B, E8 O5 C: v
set xmax 30
! U, Z1 l1 m; E2 f: p* m: {- d
set ymax 1.0' p8 M* ^ G0 e/ ?: l
5 o R; @: B( A+ }% `4 `
clear-all-plots
3 Z$ d3 ]( b$ c* Z6 c* k. P/ q; Z$ W5 ]- m* l2 }
setup-plot1
1 N C, X3 ^4 _' O
: H2 f+ g. N% ?0 a b% \setup-plot24 j! `# U9 n& h
8 ?3 J. b% B3 P+ }, f7 ]- ?setup-plot3% x7 T( U& Q' ^7 N2 R1 @+ \
end
5 I" `% Y6 u+ O+ n/ R9 t/ o# D9 O* |+ v- a/ Y' M- P
;;run time procedures/ L V: D" l$ I2 y
: d% S5 }7 i( [5 |+ ~to go
/ L: E* u# k1 N6 k+ y- ~
% t% X& F S6 Y& C0 j0 q/ }, j6 z0 ~# ]ask turtles [do-business]
1 P* W+ B5 K2 Z% ?( m% W5 L `end$ X3 D, P2 j; \$ {/ [
0 T+ H* n1 f/ t& ~& t& m Ito do-business 8 L% R5 d7 u: O. a
" v) B: `/ ~7 l- ~6 O4 U
/ F+ ^( [( y3 q+ |9 S7 G% |
rt random 360
- [( y# r2 v2 q8 v L, Z8 v$ m
& [# O; d9 A9 I3 [fd 1
1 m2 Y G) r& w& s1 Y7 p- I( e& y- L0 }/ Y
ifelse(other turtles-here != nobody)[. V5 {+ Q; t0 p) w" J D) C) t
: `0 H( _! B( C9 F5 tset customer one-of other turtles-here
( [0 I5 n, h" }+ M
2 c; s7 b7 J% r, z( [* Y;; set [customer] of customer myself- Q$ u) y1 k2 b; Z3 [4 a
+ X3 h: [6 b5 {+ X7 P+ Oset [trade-record-one] of self item (([who] of customer) - 1)8 T, y5 t4 i& _% {7 M7 y) r
[trade-record-all]of self
# z+ P K: o2 Y. o/ L;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
$ P; W4 S- s) e) M- T# _( S1 O' Y7 G. t2 o$ m/ z: q5 i/ @
set [trade-record-one] of customer item (([who] of self) - 1)
4 W) G2 M) X8 G: w[trade-record-all]of customer { Q8 m7 A' G+ l+ j
! ~# \! T5 w! _8 Z8 u5 n+ } i$ Rset [trade-record-one-len] of self length [trade-record-one] of self
% ~) u7 Y0 H. l7 [5 c# Z# v: d, B+ Y8 l
set trade-record-current( list (timer) (random money-upper-limit))) G$ {4 ]/ C9 t( h; e
" |. l) i# b; ?/ w; N* ^% D) f* dask self [do-trust]
, N) I! u! j: i- z) X4 k;;先求i对j的信任度8 m# H3 J' d) o; c; r( C
0 D5 ]! z! ^. E8 Oif ([trust-ok] of self)+ m5 J/ H g P( e) c( N& p% e
;;根据i对j的信任度来决定是否与j进行交易[
% U# R# t) P: @8 `. Y0 v! }7 |ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
. t$ j. K$ u' g8 g1 r& d+ j; K: s/ z. J; m* z5 h
[# I$ F/ [. S( m1 W) X
/ H9 [" c) I L4 O3 f+ D7 v3 {2 gdo-trade
0 V3 `" }5 Q0 ]; p) C6 M
5 p7 r5 l$ P, D; ^% B9 e0 U# Zupdate-credibility-ijl
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update-credibility-list
O7 {( [. w B* i; n
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; i# ?* k* u1 t0 l2 Q6 wupdate-global-reputation-list
+ D+ a& o% M) u* |/ O9 g0 a/ R' H' Y3 P. a2 j* I2 ~
poll-class
+ Z% R" }" b) Q
O0 F8 H. {% U# Tget-color* v' _1 |0 T& H
% h4 K9 z8 c" g9 b6 h* O4 `]]
, d4 i3 Q1 h" \# U) Z: L
9 ? P5 e2 N* j) k2 v; \;;如果所得的信任度满足条件,则进行交易) p. {3 D5 a/ h, `7 f$ l" z
, }5 c- q) p) z P9 R
[
9 X) C- |7 }( I- O6 P/ G3 G/ _' K1 s7 z# X
rt random 360- b( s, O! v3 K5 s; e* k. H
0 f0 B$ H T b/ i% z5 G2 q# [7 jfd 1
, K! B; Y; [2 L1 ?2 o' E+ M( |+ O6 S+ ^: e u1 U- C9 q G, k
]
. b9 ?& o+ o1 l. [& t* v$ B2 j* b% |# p; w
end) G+ h# ?2 |9 S5 X7 K. T1 J- J
& I4 n: e* K4 z* ^! `* [$ q" E/ {
to do-trust
/ u* m. u# e( i- l! T* y/ v. i Gset trust-ok False8 q* ]' f' J5 R% q; _
/ x. ^8 r, Z+ g# E3 `* I$ W
) u, G% i. v% s, ?$ o; Y! }2 G
let max-trade-times 07 E6 V1 c+ o, e8 W3 [+ \% s h' s) }$ C
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]( X6 r& C7 W2 V2 h/ d
let max-trade-money 0
/ z3 w; D3 i1 fforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
4 M6 j( x3 `: M) Y, a$ qlet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))8 y: b, r5 V+ O3 B* @! Z- U8 s: d/ p
1 W4 |$ h. Z4 x
3 h) I% C, s. pget-global-proportion( x; [4 a# H4 l$ z
let trust-value3 ^: r$ ]: h8 K) k
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)7 M5 U& b7 m4 \4 U. f7 C7 i$ o4 e- U
if(trust-value > trade-trust-value)- u: h4 c0 e7 r$ N+ R
[set trust-ok true]
X# a+ N1 Y* R v5 B) Eend
! R( h" m4 X3 j5 v3 t: \9 j1 F: m6 e9 D7 g
to get-global-proportion
" a$ e/ p% B+ |% Xifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)$ T! S- o; L/ T1 V
[set global-proportion 0]1 i3 J) \ r( Q7 S0 R
[let i 0' P: t1 ]& E9 I( |, Q4 C, a
let sum-money 0/ d. d. a- |5 b, F m/ _! Y
while[ i < people]: w! d( R8 y3 @, l- r% k
[# h7 N! O+ G/ O P6 \
if( length (item i# y# ~# x2 p+ i, G6 E+ _
[trade-record-all] of customer) > 3 )1 j2 ?9 d6 D; D% s7 |2 h
[1 I4 n1 ?/ H* U' o3 T6 A
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
' Z5 z6 A% P: X g, T4 B% R% w]) c# B, |) V) _, k: y+ B
]% h8 O0 r: `7 v
let j 06 G# x2 o+ q% e! M5 y4 |
let note 0
x0 V4 Q$ N% a7 U9 t) K/ G1 _while[ j < people]
- W0 f$ y; l; H! ^5 }3 @9 N[
- R; `% z% l2 k# C: R$ X, ~5 Kif( length (item i8 L" ?5 I) L8 \; g8 X9 e
[trade-record-all] of customer) > 3 )
$ O, T- i- l; T. V[! G& L2 Y' f* T* I p& K
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
' f: F3 E8 m2 j% X. z y[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
- T) Q$ n: o, M; X[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
7 @4 Z5 z( e& s% I]
7 c% R$ g. m# a# Z% i' l5 l' |]
6 n/ G5 Q0 P9 o% o* P6 w) S9 n0 Q" tset global-proportion note
% \2 j, F" i# \! P]# ^$ T6 q# `( c
end
) P$ o" R4 F+ n( C- s3 D+ ~; F6 g% C
to do-trade
3 e8 B- u$ A) |0 p L4 k; Z;;这个过程实际上是给双方作出评价的过程
b* N+ k( y% m- hset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
9 n: e) B: U3 V0 k) bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
1 G% s* i2 T* ?& Iset trade-record-current lput(timer) trade-record-current6 C% |) [/ g" Q$ d1 C0 b& a
;;评价时间
% E4 Z" G4 J D0 Lask myself [
9 f8 [# F' I" zupdate-local-reputation
& F+ |8 `( _% v3 c- q0 Fset trade-record-current lput([local-reputation] of myself) trade-record-current; B- _0 i& G5 P. i
]! j9 D& m# ?5 b
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself* k* G: A, W7 s$ i5 ?
;;将此次交易的记录加入到trade-record-one中7 ^- U- h- K8 w1 x
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)* z/ v4 Q3 s6 o/ u% a* C3 z
let note (item 2 trade-record-current )% n. @1 a6 v( B- K2 a' L
set trade-record-current
# Y1 m* S! m r/ W7 r( @# j+ o7 _(replace-item 2 trade-record-current (item 3 trade-record-current))' |7 W$ \- U. n( u/ V$ v
set trade-record-current
7 h/ e, t% m" O0 C: `(replace-item 3 trade-record-current note)5 o* r( v' r; i
) F9 t( q$ K# I; }- [
* r" F: Z0 g I g
ask customer [# b- ^ `7 X' g! D& [# Q, t
update-local-reputation: a; D5 {! L8 e' Y& E6 ^2 z2 G& a
set trade-record-current
2 d8 ~' u; P8 O: T# q0 w9 G7 k(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ( h* y: i! G, s+ d" r2 A
]
$ W, W1 }8 X% d8 {2 W! i9 G' D$ w( ^ c% D5 P
7 w( H/ [5 Z$ F# N' H
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer4 ~3 y# o& E" U/ P+ i3 e. P( d# o
5 v% f1 i1 F5 cset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))* Q( p- A2 X" H- p+ |' V. v* Y
;;将此次交易的记录加入到customer的trade-record-all中
; ~# F: x7 o+ e2 a5 ^end+ x9 Q6 q! y- | e. a6 D- `
0 X, q. v' ^. e: \to update-local-reputation
9 O, O& B! V, t2 n& Uset [trade-record-one-len] of myself length [trade-record-one] of myself" ?' f( H7 M$ f
% o; f* R- _6 D9 ~: s
4 v! v6 S. l8 G7 t8 Z, d2 O/ Z;;if [trade-record-one-len] of myself > 3
7 f: p: [! x, \( A) _% g( Q) vupdate-neighbor-total
0 S N, E! u W6 S. Q;;更新邻居节点的数目,在此进行& ~: H* R: @0 ?. c9 h
let i 3
4 A- C7 v9 k6 x1 _3 z: y0 q0 ulet sum-time 0
% s2 M, T* {9 a. v w9 K5 Q# rwhile[i < [trade-record-one-len] of myself]
# Q) s y. p8 G$ \! ]% q) N% x% C[
$ B: F& j7 N) V+ N4 c" Kset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). k. z v& a& L& k& s0 S
set i
, h; Y' y8 g, K3 f( i + 1)( F/ v z2 u/ q- Q) {
] F0 w) J& l; O
let j 3
* ?6 i4 ?5 I$ q: u( Vlet sum-money 0" m+ D7 E3 C3 C: p7 q0 h
while[j < [trade-record-one-len] of myself]; A1 T( a/ \. @1 A+ U* X
[
9 Y Q; Q9 q- M I# mset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)7 z8 `' O, G3 A$ S+ }" q. o2 [
set j1 X2 _2 o; V: w& [
( j + 1)
^( f, Z& F& ~) D! r]
/ `% u* }) I: H# H; x& P# o5 w" plet k 3. ^ p3 p1 ?! X, N0 \ a* d& U0 F
let power 0
$ s" i( ]% Q3 }2 L& Tlet local 01 H0 g8 v1 L' ~) B
while [k <[trade-record-one-len] of myself]
$ \: }/ ] h! Y8 B: F7 j[2 g. o( b1 D# G* D: Z' C: Q
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)
% o$ O9 a% ]* }4 B1 ^+ qset k (k + 1)# G2 G1 {, |9 V9 f% W
] @' B" J0 ]5 Y1 Z6 ?' H
set [local-reputation] of myself (local)& K. Z" Q- C# Z9 @5 x) W
end) G8 E4 L& H: b* s5 _+ I6 \
. u% x8 `. {. K7 s+ Zto update-neighbor-total
O2 O5 K8 K$ P5 I# D, n% D. `8 S* s0 ~3 [, i8 W. t
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
2 @( {1 E. i- k2 g; G- {* y5 |9 S( O( V9 N* t6 \7 R' E2 R
# U; U# Z% F8 }! [
end
- [1 j* x1 d8 ^: p- q) W" a2 L1 g# O! i: H0 z3 C" Q
to update-credibility-ijl 3 u T' v( X" [5 E
} @ b4 x# [+ Y! _' f
;;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* ~ s1 H2 ?+ M b! o5 x4 nlet l 0& |$ m9 ]* `4 i' s2 [5 D
while[ l < people ]' h J# c$ X5 f% {/ x
;;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. ~! E; W$ E! b3 x- b! Q
[
B7 v! M1 M2 l; o% zlet trade-record-one-j-l-len length item l ([trade-record-all] of customer)) E- O2 S1 l! S0 F7 F& A! G
if (trade-record-one-j-l-len > 3), p6 Z2 Y8 N7 _9 x3 t9 x* B+ Z$ `
[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 r# u8 \, v% _, }' W
let i 3$ Y2 B1 Y/ x! F+ {4 M8 l, D% i
let sum-time 0, H+ U. Q/ M1 s& l, ~7 a
while[i < trade-record-one-len]
; ^2 H3 h( ]& I5 @+ s[
& H, D7 M' M; t u; S# l3 @set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
; p9 O2 h/ ~; L: E& lset i, x9 h0 b5 A3 x K% z" c H
( i + 1)
/ @7 E' |: r T5 }5 k3 O5 A]
+ E+ g1 c U4 X6 Mlet credibility-i-j-l 0/ {2 H H) u" f! ^/ u( ~3 j4 Z0 Q
;;i评价(j对jl的评价)
8 z, e4 Q6 ]0 B6 e$ mlet j 3, p9 O' i' S Z+ [
let k 4
& [& }/ ]7 E! ^4 @7 Ywhile[j < trade-record-one-len]
" u* p1 [) [: E4 x3 p. Z8 }[ V2 w0 b5 h! a, m
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8 P. Q4 {7 s9 D
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)
+ l4 ]# X+ p O' n$ H! Iset j
, l8 ]8 c' a6 i6 X. d8 v- |4 g( j + 1): a2 u' a ^3 T: \
] Z, N5 ` }0 |8 Z. @* Z# V, @
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 ))( R D# H) T+ u9 o, c9 Y* Y
1 B3 ]: c7 b- n- O5 G# M/ a6 Q- i7 y6 u c C$ e
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))1 a7 y& Q" V3 g
;;及时更新i对l的评价质量的评价
# M) r8 X( Z0 g; bset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]- P9 H* s `" |0 W8 [- E
set l (l + 1)
8 A7 y; a: q/ O9 ]]* m+ ~: L" ~6 ~! f( T
end
4 w2 \* q$ ^- _' d0 G0 r# z; D0 G0 G# f; z# W5 D" f+ T
to update-credibility-list
/ f2 p$ Y% W3 S- a% ^/ Z3 Ylet i 0
2 i! u" y P5 }while[i < people]
( h& V7 P' e( c" d$ M% L[
/ f1 t# e; e- M4 R* v5 @% elet j 06 W$ t0 ] y- `4 I' b
let note 0
! k. I3 h& V# N& q" _7 ulet k 06 M" w1 c X$ Q( }
;;计作出过评价的邻居节点的数目
$ H( j+ q r z# R4 q, Zwhile[j < people]* `2 _+ Q' [# i) F: u: y, U; G4 P
[% m3 ?) ~/ S1 u; ^# T
if (item j( [credibility] of turtle (i + 1)) != -1)9 K/ }" @! N: N
;;判断是否给本turtle的评价质量做出过评价的节点
9 y$ `0 X; ~. i8 j7 k% D& ?[set note (note + item j ([credibility]of turtle (i + 1)))
# K* I/ V0 S- y @ F1 [& t+ F;;*(exp (-(people - 2)))/(people - 2))]
5 B ~* L' B0 q, L4 bset k (k + 1)
0 Z7 a e$ i; K, I2 R& z]2 K3 H" ^) c6 M% ]
set j (j + 1), s# `, ^) v' Z' X% R
]: o3 q h% n3 X8 P3 Z. P
set note (note *(exp (- (1 / k)))/ k)2 j3 N) s+ A' G! g7 f$ E
set credibility-list (replace-item i credibility-list note)
; [; F- d: k9 n0 _9 mset i (i + 1)
" h1 d) D$ k1 K. ^( x]+ c% L3 ]5 u. ?
end
9 S: x$ J/ S6 o9 r7 ~) D
) z0 @" K1 y' r+ Jto update-global-reputation-list3 E" L. v/ ]2 ~) Q
let j 0
! k5 s0 w" @( G4 n6 ~% z2 ?while[j < people]* Q# l- p" t4 j6 m8 i
[2 ^, T" t$ l' p0 `& T) W
let new 01 T& j0 R% v- N. t1 H: \' G, x7 w
;;暂存新的一个全局声誉3 c: J1 f# S, @7 {8 l+ z
let i 07 f- b( ` S8 Z$ ^7 u" A7 P. C
let sum-money 0
; } V) s5 ^; L. |8 A3 X* @let credibility-money 0
" w: k( D5 [& k$ G ?3 a. Xwhile [i < people]2 T9 H$ G1 ~% i( p. j7 i
[8 M4 g2 b" ^; @ F; N
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))2 ~3 [- Y, g2 \- D7 \0 P
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
- l% j/ c8 U2 Y2 sset i (i + 1)- s6 [7 B* m9 G8 a
]
% p$ G1 s8 m; B8 r. o& a5 [; rlet k 0/ @$ i1 o( o* ?8 Q% t8 Z% e
let new1 0; T, |3 O4 ^: v
while [k < people]/ l4 P* A3 @5 Z G/ \$ J+ m
[* h; W, r+ l- ^
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)# T( `3 M! v$ D3 y- e
set k (k + 1)9 ]! B& O: E1 Q+ A
]
M4 Z3 H+ \' |5 U8 v7 V. p9 Rset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) - o9 v- p* S' U5 m7 H: B7 k
set global-reputation-list (replace-item j global-reputation-list new)
, G% s4 r7 y) s2 k3 M0 e0 Sset j (j + 1)1 @; x3 w8 W$ T$ o5 _
]
3 o5 H' D( t2 j8 A- U. q8 o$ Dend
4 s Y( _. g( a0 W2 T- K# f2 m2 O) t! N) x& L0 h9 T, X" ~9 n
9 D, w( r* U2 t2 L( t6 r+ x
- {* w S- i5 v; t; Yto get-color; P7 v/ e5 p+ g! z" m X( p
6 n+ }# z1 T5 S( c0 Aset color blue. K& w; L' z$ U4 \0 m2 K
end
7 v( |, ?: G$ r1 Z- N- ?8 p& b- P$ H( z) a
to poll-class
) q6 K3 D7 N' Z2 mend# s0 o1 \0 J, e( `$ |
% \; [9 p @- p" c
to setup-plot1
; q" a. H3 P1 e( s
2 l3 b4 {$ r8 mset-current-plot "Trends-of-Local-reputation"% K& ?3 u+ t7 } ]0 B9 I$ M
0 v, d- J1 L, f( Z
set-plot-x-range 0 xmax
/ r E8 @( @4 \2 a& g$ I4 F' z( I8 O; w* x7 }; i4 k1 }1 N
set-plot-y-range 0.0 ymax
c9 I5 \: W& C2 ]4 F, send1 d9 n8 ], y0 W6 o
, z2 C' C [7 }9 m
to setup-plot2. u% z& Q5 r* y9 I% _$ U; R
7 W" q/ _' y0 ^. ^
set-current-plot "Trends-of-global-reputation"
+ P, m: R, A5 n5 J/ E( O2 q
% L# P4 j! a8 O7 z; Q5 {set-plot-x-range 0 xmax
6 U9 [8 \- j1 S) G+ X: h3 X, z) g5 A A% x1 h6 A
set-plot-y-range 0.0 ymax
2 F( {. ]" r6 Q7 G, Send
/ X5 p* O2 P- n# ^! _! u+ ^) M
to setup-plot3* k {& S! }9 d$ C9 u+ D1 u
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set-current-plot "Trends-of-credibility"% v* _( G! n) M0 N9 }' N4 e
' k6 b6 e- ?% a: |( Q
set-plot-x-range 0 xmax6 v( a9 F& r& z+ C/ G/ [& m
# t0 j; s/ c; \6 |( T) F& f( Oset-plot-y-range 0.0 ymax
2 Y! M( P9 E V- ~end4 q; y0 h1 a+ V1 g( `5 p. b
( I6 I. Z( j, r5 N* Vto do-plots
$ ]" ~5 W6 O) B3 D: J6 m0 Xset-current-plot "Trends-of-Local-reputation"/ ~! S/ t7 ~8 p( p( l3 Y) ^! k
set-current-plot-pen "Honest service"
* v* E4 k, ~7 i/ h& Q3 Tend9 m$ h4 ^4 G' Q- C) c
2 O7 L3 C! r X; D6 i; j" Z, p[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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