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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
! X6 Q# W+ R- `* v3 |globals[
: [1 |7 w* U( I* j9 xxmax
' V! E- x. }9 A* W- Vymax
$ }- S% {% ]2 `4 xglobal-reputation-list
: J: v( E+ p( V) I$ L' _) s& L6 O& r% l/ q: |' V/ h
;;每一个turtle的全局声誉都存在此LIST中
+ E; o; @& X1 G4 z! U; ^$ Tcredibility-list" H8 O! ~$ M6 J- f- ^
;;每一个turtle的评价可信度
6 K1 e5 K9 m9 z$ T* }% ^( F% ahonest-service
: j9 l1 {& e( m- ?3 S$ aunhonest-service5 H% { j4 {% f, e8 C/ t" E
oscillation( R( Q) f/ q7 B
rand-dynamic4 Y2 f! y2 ^+ `
]
8 C/ U% |! K' w5 |( d- x- b; w: j' o/ V, O* {# l
turtles-own[
+ q+ x* L+ {6 Q# Q* R1 Ttrade-record-all
# k2 K# _" D1 p O# s: r9 z: h8 u;;a list of lists,由trade-record-one组成
7 S! i0 _) w1 vtrade-record-one, ]) {1 d1 X J7 L* I
;;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 R/ N6 _/ ]) A' q) t
9 ]! Y- u$ G/ C' a, q& g8 U;;[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 t K( T5 \* R7 Btrade-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]
" s- G: Y6 s; A0 s& l+ Mcredibility-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list9 Q1 G% Z1 a+ P2 y
neighbor-total! {$ [0 k# u! V% B
;;记录该turtle的邻居节点的数目
" t, _( h4 ~+ d/ m, |0 ~7 G2 itrade-time( W8 z2 N1 [( H; G; J
;;当前发生交易的turtle的交易时间
. C \# \ G+ S! I% Y- P0 fappraise-give
( R9 b( P! U& r! B- x$ z3 q) j5 W;;当前发生交易时给出的评价2 a. a( ]/ {6 T1 m3 O
appraise-receive5 F: }1 ~: v: a* T; g
;;当前发生交易时收到的评价
0 f! \8 I& Q* Wappraise-time3 i/ z' o C1 O. l( L2 W* N3 r
;;当前发生交易时的评价时间
: O2 E; c$ s5 o% }# E; z flocal-reputation-now;;此次交易后相对于对方turtle的局部声誉' E [; L+ B" ?% L @0 [
trade-times-total+ Y9 R8 O6 m$ }. A- j8 x8 N, ?8 L
;;与当前turtle的交易总次数
2 y1 d V' z/ G3 ^/ U8 O, z* Wtrade-money-total5 e7 r) c+ y6 e: \
;;与当前turtle的交易总金额
0 O) W6 S1 L* i4 Q6 zlocal-reputation- Y7 M. Y3 H/ @
global-reputation! W5 j) b8 L' ^
credibility a6 z2 R1 k; P
;;评价可信度,每次交易后都需要更新. R, ]( `( n' h* Z7 p
credibility-all
+ x D+ p5 g( F;;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
- }4 H. G$ a" M p/ O
! ^6 I5 ]: l4 E;;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0.51 l1 W+ P9 P9 {+ M% e: Q
credibility-one
$ S1 e& V W/ u8 R( F4 e;;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
4 n0 y1 q5 j0 m$ G" e1 xglobal-proportion
, l+ m7 R/ h; C! X3 p+ q$ ecustomer, P7 L* E7 ?$ X7 P' s
customer-no
3 B5 ^2 ~2 k. X5 L" D, o Z+ ~trust-ok
" O* p9 f, K( } e0 b3 Q8 \8 X% strade-record-one-len;;trade-record-one的长度
+ V7 V3 [0 ]' C/ h, a; Q [: L]4 C# t6 F# r3 P# F) \ T: g
# M! ^/ v6 h: X;;setup procedure
! R2 W: L4 ] X2 K
( j1 O* E5 w `+ P1 Z$ Q+ h7 Q' @to setup" Q4 x3 T+ _6 Y2 q0 w
3 d6 y( L7 Z: J% m+ b
ca2 O+ z- V- i7 G" X, m: N
; i- J1 X! L6 N% m' ninitialize-settings* n: y! j$ p0 S, }. O9 P% a
8 M' H3 i2 T- x
crt people [setup-turtles]1 N% y! R7 M6 D: v, \0 r; {
( I1 f6 \4 V6 E5 ^0 Xreset-timer. [7 ~* h' p/ G
, K, U1 H5 C, J# l& X) G `2 k4 P! x
poll-class; \5 g: h0 H* c. X
* z, C. V( d8 l8 b8 z+ e+ j
setup-plots7 p2 ?( @- l, b8 x8 c- Q
! ?. J& \6 n% \4 rdo-plots1 D, P% ~3 j) O/ `% b5 V3 U
end
$ q k6 V3 n; H6 B0 a) F2 ]1 d* r- I0 U5 D4 ~7 t! h/ w
to initialize-settings& p5 c, n7 h5 }$ X
& V! h+ J$ o! p( d
set global-reputation-list []
4 |! l% Y4 W- T0 ` p# \# G
l1 [3 K( z% yset credibility-list n-values people [0.5]
7 Q; i+ u+ Z0 J/ X/ j( R+ |- u
7 p$ |8 p" ^# Zset honest-service 0+ Z) ^2 l- F* O# h: Z6 z2 o9 o
: g" T1 S0 ]1 u) f4 r: t& B% Y
set unhonest-service 0
) [( _! m2 N# T& ~1 p- j* u4 b
u6 t' h. X8 lset oscillation 0
% }' r" k7 a" q) ^$ n5 X" G) r7 X; t* C8 F- G
set rand-dynamic 0
/ ^ e: N" X p) G8 zend
5 `% D! a8 s6 ?, Q7 A+ I- t# w! S k. k: ^3 n, D3 u
to setup-turtles
, ]: E/ Q) p: C# bset shape "person"( e) U( ]4 F ^
setxy random-xcor random-ycor
; K8 h1 i' p6 E5 h, J6 Cset trade-record-one []
5 g3 @- R7 Z) B' \
1 |/ R6 g( }2 r: {+ Y$ U: o) Yset trade-record-all n-values people [(list (? + 1) 0 0)]
& m6 l6 _: f! I9 O4 t
2 B+ `; n6 B* B; b1 X* N- U+ x; Tset trade-record-current []& b+ ` I8 M+ B; H
set credibility-receive []; |" l( l4 Z; b4 K# v( P* G& r3 a
set local-reputation 0.5# U$ z5 r8 b. K5 O: |! @9 J1 L
set neighbor-total 0) A' d+ Z. k/ z$ ?7 O! _
set trade-times-total 0
1 t6 \4 p$ J: @ {& H# \8 X* r0 `set trade-money-total 0 \4 y+ t1 ^( U; l0 q4 d* {/ P+ {
set customer nobody
( A; S) V- M9 D8 H& D# W/ i( sset credibility-all n-values people [creat-credibility]
, w3 {/ y) Z, q/ w ]set credibility n-values people [-1]; U6 ?( C( m! i" e! I/ {; M( s7 _
get-color% f3 d! U+ y' ?) V9 x; _
2 Z6 p1 l3 n7 X2 hend0 ~8 @: t) a- x4 l. s. u, `
9 z4 `3 S$ c3 k6 [ G- F5 bto-report creat-credibility% P# o3 u4 g3 U, S
report n-values people [0.5]
# f4 h5 T/ H( e; ]end7 F) W, E3 k9 h) [- }3 i0 x
) J/ _8 [6 K6 V2 z: M
to setup-plots7 A$ G+ W( A. K1 H1 N+ {
: R* ?1 X( k4 k3 O$ x$ V
set xmax 307 I S8 g1 ~) e! u4 X1 r
- W1 K7 S, v, G7 x. kset ymax 1.0( v9 U/ V: N( g+ q- B+ G& a: M
7 O# ^9 n7 ~) L# d( A5 H" ~, N) t. a- iclear-all-plots
$ A; j/ O4 m* g ^
. n6 X! x A; B3 L. S* i1 tsetup-plot1 [, W/ w5 w* t/ N5 E3 M! r
3 f g2 a# S6 o9 ]* p- U5 ~
setup-plot2* v% C2 `7 }2 n0 m% c" Q* w
r3 V9 W) f+ H0 \setup-plot3! P6 R" ]& l8 k+ n: _" n, `7 Z
end
3 r) a& K3 ?# E% N5 a# V$ K6 M( s( F4 \( f
;;run time procedures# ]" L E6 b/ r# @$ ~
& r1 K- b) W/ |% T5 tto go1 A. v V/ B% c
# N5 E* W' J$ J( @, K; A0 [+ x* t1 S. l( |ask turtles [do-business]
. v$ G& v: [9 \& ^. eend0 r$ K4 ?- J& `
- w; _; R! I' d) F5 |% r% t+ Q+ T
to do-business 3 ]( K, t& Y& r0 @+ V
: Q' Q, a1 t& q2 k0 Z* Q, A$ C- v$ g4 h0 F G$ Z' ^2 X6 v+ H. p
rt random 360
3 @: b. }5 ^5 @3 ]) `0 X* m6 C) _9 a/ D8 W. m, o
fd 1
S9 ~! A4 ?0 p6 `- b6 E1 b o* i2 C1 A
ifelse(other turtles-here != nobody)[
+ H1 c9 V9 P; Z |- t0 y4 W8 B" _- B
set customer one-of other turtles-here
. l. L0 M4 B3 N9 ?) P
, `2 h, y1 u4 ~;; set [customer] of customer myself" J, e% q8 c, o+ n3 J) t! p% T
$ _5 {* r+ g4 v! n: A) B o" j# Wset [trade-record-one] of self item (([who] of customer) - 1); ?( R# N) r4 f- c
[trade-record-all]of self
8 x7 C2 s9 E) y9 } M;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
, R, E* l- X l, b) L
9 L9 ^7 S5 ~) ~set [trade-record-one] of customer item (([who] of self) - 1)
8 ]$ C0 \; J3 t& c5 C. |[trade-record-all]of customer
8 y! c0 t- p$ G8 `1 ?& M4 z; @ W* a! [0 x. R6 B
set [trade-record-one-len] of self length [trade-record-one] of self
0 b; {7 M, ~+ o0 }- E( k: T' Z4 g8 ^
set trade-record-current( list (timer) (random money-upper-limit))3 p4 ^: N8 h. J6 M) W2 Z; u
4 J4 j7 B$ ~+ Z' ]$ xask self [do-trust]
" D, R) C) A& m5 m6 F! b; @;;先求i对j的信任度* M, M7 R( \ ?; a' [/ B2 Y
) K4 w3 v( K0 Y+ S$ \* H8 Dif ([trust-ok] of self)
# B$ j% X' ~4 j;;根据i对j的信任度来决定是否与j进行交易[
2 L7 V5 l+ v# W, |) j4 M. jask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
M; z7 Z y2 P# ^' l9 O8 R8 ~
& l3 g3 _. X; d( {$ G9 R( I, F[
. o. n* @& ^. e/ N6 z2 l0 f+ B3 h- B' I/ T- } i
do-trade2 e* Q/ [+ ~# v8 U, ]
, r; s5 T8 g* K5 p8 D5 R% |8 eupdate-credibility-ijl- S! g( J! I( D/ u" M
$ k$ d/ R! n, z/ `$ m2 m
update-credibility-list
, O$ i% C1 X- o5 O% {8 x
# C, Y( V4 b% o! E/ q; v
5 b9 F0 x, x7 I* y: uupdate-global-reputation-list
* t0 }; s, _! r% J# G+ _
+ ?4 O1 L2 U G/ Q' y( ]+ w$ Gpoll-class. {8 w! |2 j3 ^9 s3 B* V
- p- x2 T; g% f# T5 Q2 x# s3 g
get-color" g2 j. ?8 M3 t4 e( X9 a: k
7 v* }# \' u+ H, f( Q]]+ K7 S4 U! o& a0 p* }
& L, E' J8 k7 ]& ^; q" n;;如果所得的信任度满足条件,则进行交易/ J m2 H& \ @, w) Z9 r
& }' y8 I" k: N6 A[
! ?6 S4 ~" o% V+ \
5 e; A- e( T4 f) ?* \ ~$ |2 drt random 3607 s' ]1 Y( h. S" a* j- p
7 D0 a8 @1 c2 K4 n' {% m2 @6 Mfd 1
% \; K9 P! y, y& \2 X
8 a7 `) {, O6 K$ M2 u]
- t; C2 s0 V$ V- K" M5 f7 S1 o8 Q5 }+ t: d& Y
end
0 I% l+ `3 k6 ^3 A
+ B+ R; N2 z( D! }to do-trust : B& P$ @% ^+ {+ t( [/ x/ Z
set trust-ok False
# q& ~9 a* P! k1 R- _
& O! X# M& y: ^6 I" ~' ?: M8 n3 d# [5 q$ M% q
let max-trade-times 0, H5 l/ o# b& ?9 V3 Y; t3 h* @
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
: I: _5 y; D1 J( d) X9 o$ @let max-trade-money 0& r+ G+ T4 Y. m0 I( @) G i
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]] e; _: H# j" x" [; z: i* }
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))5 N* i2 R& B% I4 z
6 [- [2 {; T5 F p' m U! L9 o% h. A2 @% G
get-global-proportion
0 [1 J3 F3 o) `" w/ n; g2 x5 alet trust-value
, \/ B9 F( I0 Ulocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
4 j( B+ E4 x3 L3 L- X P7 H3 R$ G6 Cif(trust-value > trade-trust-value)
T/ a) }+ ^" R/ b# g7 d: W; ?! F[set trust-ok true]2 t1 x& i5 u# W* n
end
5 b g' O3 a2 f% i+ e$ u5 t; Z$ S: Q7 ?5 p2 X
to get-global-proportion
4 n+ s0 l! X, H, C+ t m/ jifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
( Z; i `8 V( E( K, I5 h6 `[set global-proportion 0]" U r" r @! a4 c9 _
[let i 0 I% h/ ]- o' G0 E% v; G
let sum-money 09 h6 s7 L5 f0 E. ^4 E5 D
while[ i < people]
. f5 b: C. |+ @- R! @0 D" F[. u9 z: j. G% j5 H
if( length (item i
7 z7 Y) \) _' D9 x k[trade-record-all] of customer) > 3 )
0 [2 e' ]+ n, m3 e2 F[' O, T, ~% y/ A( y) d3 t
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))$ g% Y4 d* z$ ?
]
& z. q: o7 `0 V; x6 v( K' l]- y& A5 I- Y! u# K
let j 0
+ Q U# S ~6 f6 Y; C+ l/ S7 Dlet note 0
5 Z! _8 `3 B- t( E7 }# ]. owhile[ j < people]
) U, D7 T! R& M; B+ d[7 V! J! G. E m! G. Q) J
if( length (item i
" ~$ O* p1 _* i3 p) W[trade-record-all] of customer) > 3 )! [1 ~# v* G! @8 }1 R
[
- @! X5 j8 @$ X' {ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1), O: K- C$ C" g: m/ ?# h
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
! A8 r1 r9 J6 g6 {" i- R6 m( g% Y[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]5 e, H# R" n; ?
]
8 c' m: q% M2 E]! q/ i! T- _# E
set global-proportion note9 A, t! u, [% J$ d' u6 {' ?
]& O5 }4 {- k" L4 q+ ^$ `& E+ R
end! ]# t( @0 j$ I H; v
4 U! C, T: N" R3 eto do-trade
% z- h8 O6 l1 Z; N1 ?" N;;这个过程实际上是给双方作出评价的过程
% G9 ~ x% H: Oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价6 a9 p) c: Z7 m( q, [1 n
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价' ?& P2 M+ G5 e% L( E
set trade-record-current lput(timer) trade-record-current, ~: f( Z" Z$ X
;;评价时间8 f$ @, z; L( [9 m# W
ask myself [
+ R/ }1 Y2 G% k- H; Xupdate-local-reputation
: q8 b# { v) c! ?8 m$ Tset trade-record-current lput([local-reputation] of myself) trade-record-current$ v, J3 ]! j1 O/ _/ t. K Z, o7 C6 {
]
9 ^+ J4 W3 ^/ s' yset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
* \' ]: c9 f( d/ }" E8 [;;将此次交易的记录加入到trade-record-one中* A5 S8 m* Z; } V( k
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
: T% {4 `6 b$ Q0 `let note (item 2 trade-record-current ). A4 `" i9 e8 ~* \+ |
set trade-record-current* _1 @+ y V( T
(replace-item 2 trade-record-current (item 3 trade-record-current))
7 B/ k8 o; J( vset trade-record-current
5 i7 [, I. p+ \) Q$ _(replace-item 3 trade-record-current note)
/ l; A; w: Z. w
) y+ D- N4 X; H+ l; l( Y3 T5 k- L, R6 c. T# h
ask customer [- ?# p. W' D8 X3 o* Q5 O/ d
update-local-reputation" Z4 S$ T: p: ~& V2 v* x/ C% c
set trade-record-current
- _, f% Y. ~7 y7 B(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
# s' y/ q' O1 _6 R& g+ B]) J' P6 G, M( O2 Y+ ~% V6 g
9 A$ h+ b6 Y$ t' B0 @
. N P' k$ ~) G+ X% J( M! N+ ~set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer1 W% Y; o& t5 i& w/ j
' E* V" d3 S# y6 W" Pset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
" t1 Z- x% K- I( v2 V;;将此次交易的记录加入到customer的trade-record-all中
/ f3 t4 x- |1 |/ A0 Wend
$ c+ G8 C! h2 B$ ?& p. I% r1 w- M9 d4 V) m" L3 n/ s
to update-local-reputation
3 x. }4 [+ D/ ^/ @! \) S& C }set [trade-record-one-len] of myself length [trade-record-one] of myself
- d7 h! H; u7 I
* A: T/ Z7 i' T# r. g
1 Z( k1 V- _' w7 m# F# d. V;;if [trade-record-one-len] of myself > 3 0 e. S0 z3 ?1 U- ?% I
update-neighbor-total- P! y# G% q( e' }6 j
;;更新邻居节点的数目,在此进行
0 h& l' i2 V6 a! @/ I- |9 wlet i 3
7 m( ~( {. ~8 g. r0 [* blet sum-time 0
1 f' I2 k7 B% O; Swhile[i < [trade-record-one-len] of myself], D9 z# S; P- z1 }7 z7 p; s
[" u# z* t# ]; w; o# _* \% M
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
5 O- z# x. J, G. e8 m- ]; Tset i4 o8 x5 K$ F2 N3 \
( i + 1)
9 K, J4 Z+ {( }]
0 g2 }0 U& D8 @. W* Slet j 3
o" E* ^7 Z0 J, t2 G3 Clet sum-money 0
0 V) o/ ^1 L: |+ w( `+ U5 T% wwhile[j < [trade-record-one-len] of myself]
; _6 @+ t0 D+ e, \% P' _9 m6 V[% V4 |* j# w4 E! [, o
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)/ M* _% J" r/ _0 D$ ^
set j
; P9 `4 a) a( ^9 o) I( j + 1)
/ W0 M4 ^* c# P5 C6 W]1 u6 L$ l% \- I* |( i7 z
let k 3
) P( k7 H6 {7 Slet power 0
- ^4 O J5 l3 c9 h, Y+ Elet local 0/ X5 t a( X Y7 Q( Y
while [k <[trade-record-one-len] of myself]! T" p8 G' v4 t6 W
[1 W) [% w" ?( b" [, L V
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)
9 x0 {! |* U' l! kset k (k + 1)
( j% o' B- O: T% C: g0 O; g; T]
/ \8 R; c* f+ s0 ?' b8 l- pset [local-reputation] of myself (local)
+ S6 @5 U1 ~8 Wend
8 P- N N3 J/ r7 n3 j2 u$ y ^9 @) k+ q! y
to update-neighbor-total8 }; O6 p$ ?# C0 t E# o
6 P& q% ? b% _if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
6 K5 [6 t- J) x, K: z, f. _; K: p! t2 F7 f/ Y+ [
0 g* R, e$ u$ R! @
end
. D- y" Y& h: W$ r5 y5 O; \9 {
2 L P; ^% W& d+ R- ?to update-credibility-ijl * N: v) f$ p/ u* G# w2 O) K2 z
~/ g& d3 W" {- x' s j;;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。
$ ?: {6 {; [' `# z! ]2 mlet l 0) j& K' y6 |0 I0 Q' Y; m5 K) U# \4 K
while[ l < people ]6 f! Z" h3 N# g5 H V" V, s9 {
;;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& z/ Q. f" A- w: s
[& T8 Z) S0 G" W0 o2 D& l
let trade-record-one-j-l-len length item l ([trade-record-all] of customer), p' N9 N. G4 e
if (trade-record-one-j-l-len > 3)9 R& B1 q' V* }. k, |, r) H2 E+ 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
' n2 [ g7 M8 A5 t* z2 v& {3 ^let i 3' ~ j; j0 ]2 t* M8 e I/ x8 X
let sum-time 03 l4 m5 `8 g4 a9 g8 ?+ J
while[i < trade-record-one-len] ]5 ~0 x+ n: `+ U: c- V: h8 K8 N! ]
[+ G# {( d. A- W1 O+ Z5 b
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
$ r( b# @- D/ p: x2 d; Wset i
! z, }5 x1 }* f8 f) f$ U( i + 1)
" ]3 M" e& D2 R]
% s& t; j) w5 xlet credibility-i-j-l 0
" G1 O, O, ~' `* l. m7 _/ r- `;;i评价(j对jl的评价)
0 [' z- H) W4 ]" Mlet j 3, _# [* h% W! l8 t7 e
let k 4
8 k* W/ K. g; i8 ]while[j < trade-record-one-len]) b7 M: t3 \" C J' s- t: }' O
[+ N2 O3 I* T5 f. I3 w J) p; u
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7 ^1 ^& |4 P+ S4 ]
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)# b$ G% n8 G% j/ x
set j
& Y+ J: O% b9 P! b6 m* V( j + 1)- r' i" [4 h0 S( L
]
- E# u& Y; k! E' e) H/ ^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 ))- R1 L8 m. i+ J
& |7 y' }' ~( Q9 Y
: s( A) D, F2 {# P/ C) _ Ylet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 p, t' O+ P+ `5 ^ e;;及时更新i对l的评价质量的评价8 u4 x- G9 [' y9 M1 C4 l% ^3 ^
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
7 [( N- ^$ K+ e, S6 g! j' Y. D# y: Fset l (l + 1)
l3 n* k, }& C' B4 s ` L* e( D]
( _6 w. `- }/ v3 k/ t, V6 V3 h. M: send$ V& Y9 m. ~+ |' o* t# M$ P
1 O4 ^$ c1 q! h# p
to update-credibility-list
' Z5 Z: H9 k0 g x; X+ Klet i 0% ]! e7 `& e2 W8 H& L5 o: R3 U
while[i < people]
+ I/ i- K" B1 x; v1 o) B[
- }9 A$ p# N, b H: u8 Elet j 03 A3 B6 U D z) t' r& X! S
let note 02 F7 ^( i- ]( A: G- r0 @. j/ M
let k 08 c3 b- B8 z* y$ D' Y; @4 Z3 _( Y; Q9 y% U
;;计作出过评价的邻居节点的数目) b7 |+ o) L: o
while[j < people]
9 ^/ U' U* |$ e# ?8 d4 ][# ^7 N _' ]" z( A
if (item j( [credibility] of turtle (i + 1)) != -1)
3 {+ V' O1 E6 r/ a;;判断是否给本turtle的评价质量做出过评价的节点# A7 {4 a$ r4 n( \2 z
[set note (note + item j ([credibility]of turtle (i + 1)))
0 L0 B0 v6 i) i0 D4 B" o9 E;;*(exp (-(people - 2)))/(people - 2))]
, I9 A$ j! [1 D" w2 Y) vset k (k + 1)
\& z0 J9 E7 B$ B% V]
4 A1 \ I# x. d, Z; _4 N8 ^) vset j (j + 1). h" u6 N4 e5 t# l
]
7 J# q; C3 ^. Z3 r/ L) Bset note (note *(exp (- (1 / k)))/ k)2 ^2 q$ d' d1 d( a- q
set credibility-list (replace-item i credibility-list note)
: |" [; f, r% x# S6 s: Jset i (i + 1)6 S; G7 b* C9 I Q) [+ i
]" v6 k3 v: r* B2 m
end
6 L6 n. K3 p# J+ t7 N% j7 S ?
to update-global-reputation-list1 e$ c! j! q4 j. @7 q
let j 0$ g, I' M2 _# s# a. v8 z8 q
while[j < people]5 {8 c) c& Z( z5 I& g
[& ]& t6 J, b" ^3 b
let new 0
* G: W( R' Z* b5 q;;暂存新的一个全局声誉- j8 H5 E1 [2 [
let i 0, n5 r( E/ a& c" ^" T0 }0 {
let sum-money 0
! R+ K8 D2 V1 E: W! o% vlet credibility-money 0
8 k7 z) [6 N. W1 k- dwhile [i < people]
7 {2 e, ]8 M! I3 I M[2 Z# k% n# T% F
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))+ ]* ]" \' i0 h
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))0 e+ ?3 ?5 m7 S! }% H
set i (i + 1)# Y" ~7 C% G6 I3 i% m
]
9 h3 }" X% ~& B" @$ L* m8 @let k 0
6 i! D$ l9 _# Z% S; ^let new1 0
7 s* y3 l: ^9 m$ qwhile [k < people] G/ e" ?1 e# T
[: x1 b5 j( ~% A! @$ s, X
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): ^5 K" W3 ?2 D/ U! c4 {; `
set k (k + 1)' ^0 j& _1 m0 M8 ]# l4 L
]
$ }8 P1 v* `/ V$ l( q r2 zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) % U; ^$ N& L' [2 e! {( ?$ \ n+ M
set global-reputation-list (replace-item j global-reputation-list new)( K* ?5 x# F1 z4 J
set j (j + 1)
9 b! w4 |) O- x% G" v; s]
7 S5 i9 o7 S4 }" g% e; Hend k2 U# \8 Y$ X( {; w
# x6 w& D2 d9 @+ i7 s) r# i# _0 k9 c) a) w
: B8 w. m, ? [5 q1 O) }3 X; D$ S
to get-color" N3 S. a- `( Y" r
2 p3 O% i/ J: w% iset color blue
* q* K! a- P; s# Q& @4 e( hend* L" g5 Q6 ~( o( B- U$ _: I" H
/ x4 W% `; D# L2 t+ F2 h: tto poll-class! K1 c; L- ], I) V# E7 C
end/ _& I- |& y. n: q- @
9 b3 x8 ^8 E' v9 U
to setup-plot1
6 J* h. t7 c4 @* P8 N+ C! @, J8 y2 P9 V) Q4 j3 M. ?6 h4 {
set-current-plot "Trends-of-Local-reputation"2 m* d8 P. b1 c4 e/ E, K% i
+ |; Z4 `' G2 `* B. }; j/ P- j! Tset-plot-x-range 0 xmax& Q: f# s8 @2 V+ ?/ t7 U1 T
9 b7 M8 a$ W% Z9 j
set-plot-y-range 0.0 ymax
: T1 x" N9 f" u' Z1 V) { Pend
' B: E% z5 P; v9 I @" y
+ P* A: |" p2 y, a$ p& `6 Lto setup-plot2! ~, s& B* a$ i- o
2 Y! m* r# H! s: A) zset-current-plot "Trends-of-global-reputation"
5 q! ^$ n7 d) M+ w3 c" ~
+ {4 N- ?& Z$ J: m: j( Cset-plot-x-range 0 xmax
x2 S+ h* w: U' F, ^/ ^: n
% V0 v4 V) f/ [& s& y/ ]4 i) q! uset-plot-y-range 0.0 ymax
0 n6 m/ [0 L. U- y) Mend
% U& ^' Q @' s1 D p$ _; [! c) ^
4 ]4 l! W: f! I# I' W2 T+ `to setup-plot3$ M5 p r8 Z. i& ^+ q/ q; L8 [
! |+ e0 _7 t6 o
set-current-plot "Trends-of-credibility"
# F) \, Q" ]& O& d% l6 V+ X
3 _7 @1 n( N9 tset-plot-x-range 0 xmax
7 N- N3 }9 f) ~ ~0 E5 y: T. G
' A& j ] f' b: ]# u; b" V# ~5 iset-plot-y-range 0.0 ymax
; N( s" A& J/ v2 ^- R7 f/ g- rend
' Q& f- ^( Z8 M; s. T5 F, H ?! a" z7 P
to do-plots* I" Y1 d) ]# k4 Q' j1 O% J
set-current-plot "Trends-of-Local-reputation"! R2 Y# x: S G7 f. d* j; }
set-current-plot-pen "Honest service"! q# z4 Z* G4 X V
end
+ L7 C1 @# {4 ^" y4 e, |
+ ^9 ^. B1 |# {$ I& E2 t[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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