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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
: M" a6 i; z6 m2 |/ Bglobals[
8 Z7 F0 W0 H9 A2 \0 a! _xmax
7 k7 U2 S7 `4 G" Z0 R! Q4 q( symax6 U# t9 t9 i6 Z
global-reputation-list' Y3 t( a7 b4 ~& X4 b! K
8 u: O8 y; _) A6 I& x* X! N5 ^- b/ p;;每一个turtle的全局声誉都存在此LIST中4 Y. d4 r3 V3 Y
credibility-list
4 R J; q4 c0 e# U& T7 {* Q, B1 h;;每一个turtle的评价可信度0 ~( z) w# I' S, _' D; d
honest-service3 w9 }( M3 }6 Z( a# e
unhonest-service
. O" @0 N! a) W9 l% ?oscillation
) h; `: \+ ?" k5 k" erand-dynamic
& b/ W o9 R4 c4 ]* j2 s]
/ H2 _5 Z9 l& ?9 E( w: Q: u- {. h& ~' s$ B, ]0 O6 W8 K$ o: i$ F7 B
turtles-own[: h* i4 P% \) E1 j1 g
trade-record-all/ G a. R0 e+ [; e+ O
;;a list of lists,由trade-record-one组成- c& h) n- `! [
trade-record-one
) n" ~- T+ x# w+ j;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
& e0 e( [. K( ?9 u' E4 M- } @) o7 |' \7 w& D! {3 j; A( |
;;[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 a# ?* d' ]/ ? @
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]7 ^% y* h) t9 x
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
* P# k# V' J1 N0 j# A9 k, Cneighbor-total; K$ s) i( Q: c, m: f/ Y
;;记录该turtle的邻居节点的数目
$ p3 \. ~- v4 `: _trade-time
. Y" N$ d9 C8 Z;;当前发生交易的turtle的交易时间
3 c0 e) w# H9 _& C5 s9 iappraise-give
2 X: w8 r. L. S) e4 `' m;;当前发生交易时给出的评价
1 ]) } l. U' U' qappraise-receive! F$ O* F. o. g/ I# c: I x
;;当前发生交易时收到的评价
* X2 u! i3 M. E* B7 j- Kappraise-time9 E, G; z8 V' k3 Y0 S
;;当前发生交易时的评价时间+ E; K* \% ]( i: E' A
local-reputation-now;;此次交易后相对于对方turtle的局部声誉/ O: I, z$ G1 @# D
trade-times-total
7 F: _( m. o$ D;;与当前turtle的交易总次数5 q- H. x) X8 ]6 L- m f
trade-money-total
$ H& G, p. V" U( |# V0 Y8 Z;;与当前turtle的交易总金额
7 t* k5 c7 A8 u( c xlocal-reputation
/ |) W; R* a& M; k- w3 r& Xglobal-reputation5 p+ s3 Z8 ? g& o7 A8 [ u; b
credibility
F/ ]& f- b8 H7 U. F$ G;;评价可信度,每次交易后都需要更新7 E3 N8 N2 J# e+ ]
credibility-all
/ ^" M# e1 I! x* d;;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; j0 ^( q1 P$ r
. I% r; |8 Z- 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$ p; j8 l! l* w
credibility-one7 i% m4 P/ `( b+ j3 {- Q
;;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
9 h' i- ]) L% P' Oglobal-proportion
) Y- h/ x2 s3 _+ s V3 ]' Ncustomer
+ G# V. u" {: o; }& Q4 X& o) q5 \" ocustomer-no
( k; F) n* Q$ C$ Ntrust-ok2 w$ v# Q: d# L) @& T
trade-record-one-len;;trade-record-one的长度
6 K" j3 y7 E$ U# L) L; U" O0 U]
8 e2 x* M( @8 i1 C; M- \% h3 B
6 _9 ]0 ~' t* {+ g( n# E5 x2 s* U;;setup procedure' k! K1 D* {! x/ {' [, @
. V3 z6 B$ }* _+ |
to setup
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ca: p% W) R/ W; q9 Y! m" R
3 ~8 O5 F' t, c. x9 Linitialize-settings! e, f# h. F7 V6 { c- [# b) x
" J! R: _$ s. J3 ]! {1 S$ r' x
crt people [setup-turtles]) y1 l' A" M4 _8 \: H+ s4 h- N2 i1 m
- t" a5 w) O3 a3 p4 \$ o( x0 c3 f
reset-timer
7 f; t$ S) f; ~; E ~; D5 c" n( w
* z2 a9 j. f# Y% Rpoll-class
" |( i+ A* l4 r5 }# |) E; c+ t: l5 N S7 u; F ]0 P5 p5 _5 S+ z: ?
setup-plots; l8 G: \) J5 Y* y) c6 @
# G {1 e% V. Z6 R. ^
do-plots
5 T$ H0 f5 Y0 ]& e+ w7 ^& g: oend
6 b) T H& E( h( e: O$ _+ o# P8 I: A. E8 s) y; Z" T& H$ S
to initialize-settings# c1 `& T2 b' C7 W% p
1 ?3 O: c; e: K; g3 o& |; \. }
set global-reputation-list [] h" S7 g: U9 U+ H8 ~
7 H. W+ \2 R$ E! O" W. yset credibility-list n-values people [0.5]! {1 W3 e( W8 ?' l2 }
8 M; y+ k5 r: J0 U A- eset honest-service 0
N4 P' L ?2 T% n4 x7 Q5 X" m0 {0 x; O1 \7 V
set unhonest-service 07 a! Q5 g4 Y6 y ?
1 {6 T2 y' F1 w5 o2 {set oscillation 0+ t5 r% R% M" n; p
+ f+ }3 y3 o& B& n2 X# Mset rand-dynamic 08 X1 A& B! S& e/ f' X
end1 j' @8 h2 W" T1 J
+ f3 @ b# b$ p1 |
to setup-turtles
' z8 Q3 _' ]) B- ^set shape "person"* c9 y2 S9 ^& i7 T2 Y/ u
setxy random-xcor random-ycor
. u7 p+ H: O" E5 R' sset trade-record-one []
0 T6 B F, u( l2 q) k$ e T- k! C, U1 m6 z/ O% Q1 D& U
set trade-record-all n-values people [(list (? + 1) 0 0)]
6 c" j4 _8 `" \7 T" Y2 R7 m8 \) r
set trade-record-current []! `& o. N4 n* r5 S3 R& O; Y ~/ p
set credibility-receive []' a; T) f' Y; e6 v; ]& ^( o
set local-reputation 0.5
! e' t y2 I* M0 T4 E* E/ hset neighbor-total 07 K7 Y5 |7 J" L! ?% p5 W
set trade-times-total 0) a2 e# y# Q8 Y9 i, M$ c2 A- i
set trade-money-total 0
! w- u/ f* A/ I" `set customer nobody5 s# V+ S9 B( R' B- i9 g! O
set credibility-all n-values people [creat-credibility]
, I8 w9 L! B) s! z. L8 c1 z5 C$ Kset credibility n-values people [-1]) U3 U2 M" a. W0 Z
get-color- `5 K. i, W% F# D( G
: F' j0 N$ ^* V! K( f% c: X [1 Xend
" N* i9 N; o' `- O4 Q
, y- c$ C3 E& j1 C9 r+ Y- c3 R' Pto-report creat-credibility
; _9 n/ Z) j3 k( o4 h7 ereport n-values people [0.5]
, w, u1 i$ Y$ Q$ bend
' Z, p1 W! t8 i! k* s* Y& Z( }3 @9 n% U% [
to setup-plots
]8 {! m: `" P+ g3 S& ]+ ^9 B g& h( P2 X6 h5 A" e
set xmax 30
j- H' n+ e+ P
' F6 C, k+ D% o; M0 wset ymax 1.01 }$ H, J( x- C* z: B' n
) F0 ]+ K! n. N$ Uclear-all-plots; [- r! m% n( K, C8 ~9 z5 R3 {
5 j" `/ k _+ A( N& xsetup-plot1
3 a( r0 ^- T! U! Z* Z* T% k$ Z$ @; A6 r
setup-plot21 |1 z0 {6 Y4 K* O% e
3 i8 M, x' H. S$ \+ q& z6 q
setup-plot3
" b7 c; z1 F5 @4 pend1 ]9 w5 k! [2 K' @7 m5 \% h1 C
# D) M& g8 I8 o( I
;;run time procedures$ j5 a# Q/ }4 H! i
# t$ J3 n+ |$ m) h, P/ Y4 Q0 wto go
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ask turtles [do-business]
8 ~* |1 S; k; W5 C& W% rend
/ C3 z2 J- T# l" s3 y
/ d% E$ A7 F0 A8 n. S; q' x6 u Cto do-business
1 u: s$ I& Z6 l6 v9 `7 e/ K
# Q5 r1 h) C+ Y
& j$ m9 O9 k; w7 _8 z4 U$ yrt random 360
4 ]/ ?! X) b( D) O% e, _: k( l7 j! o+ r1 ~1 U" f
fd 1
+ J( D U. w9 R9 `& W4 j/ `( m6 L/ _7 y3 o
ifelse(other turtles-here != nobody)[4 K' k b7 T8 g! }1 a: [9 C
1 E$ A* v3 c5 q1 H) K, Q
set customer one-of other turtles-here' d( A x5 Z1 U
$ p( M2 E- ], D, D' X2 D: [* K;; set [customer] of customer myself# V$ ^( R0 B: m J7 l2 Y( w
W" s: r% f7 N8 q+ C7 d) s7 f+ oset [trade-record-one] of self item (([who] of customer) - 1); q: |; y3 o& T$ Z, l: b3 b1 b
[trade-record-all]of self& t. m$ X% p# N7 E) E: \
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self5 P* B7 B) x. D/ q9 h* p8 m
8 Z6 Y! y$ x0 S* T+ F- C$ dset [trade-record-one] of customer item (([who] of self) - 1)
' l0 H% u, h3 {9 ^1 {5 @# V[trade-record-all]of customer. p* }9 ?* @6 D
% L# o" }+ O* P" i! u
set [trade-record-one-len] of self length [trade-record-one] of self
& F# p+ C2 S3 C" ~/ x
: u& I/ _6 v1 u l: a# m b, K# zset trade-record-current( list (timer) (random money-upper-limit))$ q" F y7 e; V
) Y2 T2 R3 m- _- B, b& Y$ l# u( [ask self [do-trust]2 q7 Q% f2 ~$ g* E
;;先求i对j的信任度% L' R( |6 `. K7 s) H
( o! Q1 v. A2 l9 w, W- j0 a
if ([trust-ok] of self); F) k/ q5 d; b# b! m1 q
;;根据i对j的信任度来决定是否与j进行交易[
$ S9 p$ o$ J o4 @ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself! B' K p5 b/ {' n
' r1 b' G9 G/ f% d% ?* P9 `
[: p3 [( ~ ?* P" J7 ]0 x
- T$ ?2 Z. p. J5 t
do-trade, d# O) t; I( T$ K3 q) A
7 s4 }4 o' y# Z
update-credibility-ijl
! ^2 `' M5 A9 w4 r
" _, e, t8 X. W3 M: K2 Y% Zupdate-credibility-list
( Q' O4 M$ I8 M
; a. k2 D r7 z6 p7 m
; ?) W! c9 w6 _0 yupdate-global-reputation-list
( c4 [- C4 P3 w. p' `+ {# _% U) G: W4 }7 s
poll-class
2 R- Q/ X! X6 i3 x3 b
% z7 j: P b+ }+ O8 t! Y1 cget-color! a3 ^: {3 Y. B3 P: S! {! P
5 ~7 y' p2 ]. _" {]]5 [: N5 F: B& t( E/ Y4 o1 a" v$ r
# T& e& F0 e, P2 A
;;如果所得的信任度满足条件,则进行交易: J ~5 l* [! G5 Y. l$ H2 E, E
: n; o- d/ l6 S/ U[
9 J3 a6 Y5 U# l' i* d/ { n$ |9 v4 v/ t- x* }
rt random 360
& `$ p$ o0 y2 Y. i; H8 a9 B! v' V/ C
8 W3 z9 a* [0 @# t0 L" `5 x( v* t, zfd 1
2 N0 B3 u- J# N; w \
, K- R, ?! H( [. I]4 ]- S, t7 x, z& q* w0 ~
$ d. c3 e: O- H- S/ ?8 Xend
$ t& m) W) y9 l- g* Y* d! Z$ E* q6 w- \5 p+ _- Y
to do-trust
, ]7 F% i3 J) g8 l4 G5 sset trust-ok False
& Z! J0 \ s1 l7 O7 \* J
; K, f- ]1 M8 K, k8 m- u9 k. t) u& f, C: w/ ^9 p3 q
let max-trade-times 0 x# Y4 }5 v; A
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]4 X6 T9 `3 a7 m$ U2 i- y( \. j. w
let max-trade-money 03 u' }0 Y. x% o( V$ d2 T7 x& Z) a
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
/ W/ B* X3 Y9 {5 | ylet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))5 V. k, L9 k$ [' C) {: m
7 y8 g; ~0 ~! B; w: N: F {' V7 P6 S9 @6 m3 q b0 G
get-global-proportion1 ?* O5 u; P! K7 I: d/ I
let trust-value* y- L+ w, u. W0 Y$ }7 u
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); b% B4 \: e9 M& j% s* ] @3 ~
if(trust-value > trade-trust-value)
" E. V2 \% v5 |5 ?[set trust-ok true]
1 a4 w6 H% [! s6 `3 S# A5 g7 U7 j, s9 [4 [" `end5 W; O5 `9 w* r$ ?6 N% `2 G
; |! ^7 y x7 z1 B0 L1 Qto get-global-proportion
& i( d5 j/ C/ O2 m' N9 A- hifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
8 w0 l* l6 m, [2 Y) ]* I7 \4 [' }[set global-proportion 0]
6 Z1 u3 {1 X7 B1 Z" G$ u {[let i 0) p) m4 A- h, I6 D
let sum-money 0
; K& o3 ^$ p1 s6 q; Zwhile[ i < people]
2 _( z* s3 g. B% C8 D6 s* h[
, w$ C8 h% a; j- c a, W# X. [if( length (item i
/ U$ k% O/ t. p[trade-record-all] of customer) > 3 )
( q, J: s% k6 D% I[
; `) L/ ?$ x! s" i1 Qset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
5 D4 k, b9 G' k5 N]; r: F P# `1 u% G
]4 S0 e0 a2 g- W# H
let j 0
1 N. \. h q" Y% F' U" a6 J4 Ilet note 0
2 |7 J+ T: ]% U3 B! C: vwhile[ j < people]
6 p/ Q3 Z0 e/ n- \[
/ S# }8 \+ r& V! U: G& Y7 z! Zif( length (item i l7 b* ]4 m. u& ]6 P
[trade-record-all] of customer) > 3 )
) U* i1 u8 Q2 d2 J( B6 r[+ L7 f' m3 c# _# O' C7 L1 s- [. ^
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
8 n- o3 L/ \; ?: {[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
. F# P( b# k6 z) W$ Z' X) z' P' a[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]/ b. |1 ]6 U$ m9 E& _
]
, O8 d; O \& w/ M: T- h]
, T2 m( t$ o6 B4 [" @set global-proportion note/ W; k% W6 S5 p$ |0 P: x% q1 D
]2 G- b; J( a T2 j2 C' l! p: j
end6 [' u0 }( y4 Y+ I
' M6 L0 Q `1 l: K5 O( `0 @9 L4 Nto do-trade# \% C% N; |" O, x/ d, X: ~" s5 t
;;这个过程实际上是给双方作出评价的过程
7 T, U/ t& u: A" }8 w8 y& Rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 a0 J( s3 \6 ]" k6 w! k( Bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
8 I/ n9 v3 t3 R0 y( [" mset trade-record-current lput(timer) trade-record-current- \+ l- R) {: s* D+ G, C7 Q- M
;;评价时间) F( C5 k' Y; w) c1 v6 S1 v' e$ A! h
ask myself [0 y( q) L" h5 [. d- F
update-local-reputation! _, n) S7 W, Y( W/ @2 N: v4 e" G
set trade-record-current lput([local-reputation] of myself) trade-record-current! L( R- a) }9 M0 O v4 x
]
0 q! h8 v( `$ ?1 y6 P2 Nset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself0 D4 a# @' V( [% l e
;;将此次交易的记录加入到trade-record-one中" k* h& g5 M2 J. J' }
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# C0 d0 ~, n* Z( U' S' S! k
let note (item 2 trade-record-current )- e; I; W5 M; J) x
set trade-record-current; }8 ?) u5 C" C& c+ I: P3 D& Y4 H( ^
(replace-item 2 trade-record-current (item 3 trade-record-current))# S( M1 l8 y7 y
set trade-record-current
: u' g& V+ }0 j* D/ f& }(replace-item 3 trade-record-current note)
5 B K4 k1 u: M: @. u% o2 b5 ]% S
% F: l {% F7 k% B' F5 |
: V: N* z8 `% [' Bask customer [( i0 o( t1 G8 T2 R- N
update-local-reputation# Y( v$ O5 p) E
set trade-record-current7 U6 W& V! Z' N- X$ Q! B
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) " h) J9 l. R; m. A5 `$ p) D
]' u# T' @" u& g
! k& z$ ~* H' W6 X+ |5 t0 V) U
( {3 I6 d$ ]" S; r2 d5 P) fset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
: p6 ]7 D! r* Q% u# g7 @+ {, e. x' m2 X5 Q
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
* P- c& K: J; z7 k) {;;将此次交易的记录加入到customer的trade-record-all中
1 V) V4 v/ B1 |! Kend0 ^! r Q( r4 g3 ~; Y8 r- d! e- z5 o
6 {8 b% c' K3 h, ]" |/ ?
to update-local-reputation8 ?3 p2 i- D% O
set [trade-record-one-len] of myself length [trade-record-one] of myself; U/ k7 @0 H, I i* N; F9 ?% u
6 C' x/ K) @! Z& }7 z0 o- w% }
O3 u& U& h: U0 X7 }9 _9 \;;if [trade-record-one-len] of myself > 3
; N- |3 E& @. N; v3 [update-neighbor-total+ q; `' ]2 K' P
;;更新邻居节点的数目,在此进行1 @: O$ I% _) f. ]
let i 3$ u; V) h: a/ T" a& Y
let sum-time 0
: i a/ _+ V9 I6 y, o0 Ewhile[i < [trade-record-one-len] of myself]
% n3 Q! E1 x, Y% E[
) f! p1 w" F3 J/ t, W5 K2 P( Y" f% Qset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )$ a) g; _4 i2 t0 M6 I4 K7 ]4 H# q
set i* J( }$ q5 K+ t) r
( i + 1)
e# G$ s: ^# F- ]% c E3 ^+ `]
+ d5 k Z2 @$ W" r3 e" ~7 W5 Wlet j 3
! M7 ~, ^* w( U4 C2 z" \% plet sum-money 0
5 C6 h5 x( @2 m% f- Hwhile[j < [trade-record-one-len] of myself]! Y4 N( J3 J( P& m" [/ ?
[
7 b& R# m1 d: I- Wset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)6 x% I" ]/ D1 i! Y% }8 q
set j. W7 _5 T9 ~9 P/ {; W
( j + 1)6 L# K/ S& H# t' t
]
( @4 p- i& S b6 h6 Zlet k 3! r9 j9 g4 p' M- g( w/ r
let power 0
$ k! f! ?3 z5 w- C x; Alet local 0
2 g. I" }5 E& h) i' `, P6 cwhile [k <[trade-record-one-len] of myself]
% F) [0 ^ m$ }% M9 y8 w[ b& a1 X |/ j1 r
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)
A3 Z9 A2 Z! o" ]& c# F/ c4 z8 zset k (k + 1)
6 E! e% e: B/ J( I. s0 I]; Y8 p- N! H, |/ l3 E
set [local-reputation] of myself (local)
6 S: C- t8 K# C4 x! N% y7 Cend
* z$ P2 g; `! R$ Y& ~) v1 b
, Z3 W! C' }7 J+ j4 Xto update-neighbor-total9 ^) x6 H4 I* ^$ c' L( \ J2 X( k4 b8 E: I
: x! a# `% x( q$ Rif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
+ _+ S4 |! V0 m; {6 _
. R6 O2 b% Q, s6 Q
: b' J* T. |& P2 g) L6 Oend
4 ~- v. k% L: U) d0 S1 W8 N2 Y* x, v% M
to update-credibility-ijl
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;;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。* L/ l; j3 Y0 O5 C; E" F/ p
let l 06 ^" a1 k1 c" Y0 i
while[ l < people ]
" |$ L' P- `9 z;;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: W- P. |7 [# @) k: n
[+ N. U {. l+ b d* u
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
; M' o: b+ ^' H% r1 gif (trade-record-one-j-l-len > 3)
1 E0 t- U* o* U6 c[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
# w2 E2 Y5 m9 e6 W* Y" e$ wlet i 3
+ U. i2 ?/ I! X5 x ]let sum-time 0% m) z" h5 P3 Z& ?/ i) |
while[i < trade-record-one-len]6 ]" Q# }0 p6 u: o
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set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )1 M- @0 P( T3 j0 Z7 c5 U
set i
5 \$ R; K2 e4 u3 x6 ^8 i3 \2 V( i + 1)
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5 i; X! f3 K5 Klet credibility-i-j-l 0
/ c+ [% i" p% m& M3 C# _2 o;;i评价(j对jl的评价)
& o+ J3 t- k7 ~8 D8 S5 Z! x4 g/ ilet j 3
3 b |0 z, `9 I( Q9 m1 m& qlet k 4
( f. S3 X, F9 D; B7 G4 mwhile[j < trade-record-one-len]
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. p* s! D0 ^: q& _" x" Pwhile [((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 i2 |5 Z% a& J; C" }% M
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)' T5 u* ]5 z: h& f7 s: [0 S, Y, t9 x4 j
set j
6 P1 W: v+ |5 j9 y( j + 1)0 U$ X* e' ^: g
]
( N: [9 \" ]! V' x2 l. hset [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 ))6 p) k* S! |- k0 S W) Q' ]
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: [# h' i: P' T: d2 {7 ]let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
! n) L- p) |) H( Y) ?5 V;;及时更新i对l的评价质量的评价
Z' |6 e2 s t$ [9 Dset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
( N! m% U# G7 n: b! N ^set l (l + 1)5 ?2 Z- i& }- }# r
]
( b+ P) Q2 l0 I) Nend
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6 w$ C0 k& J; i T2 C7 @# y5 a. J2 fto update-credibility-list
9 P1 O; ^' L; O5 h" xlet i 0
! O: f! P) W( H$ ~8 j- iwhile[i < people]: X% x8 x& q: W0 [$ p+ y t' g \, s
[9 L2 Q! M. e+ O0 n! ^
let j 0
, ?. `- w; Q( L& P( E; N1 q `% Flet note 06 v5 z; |) Z5 r7 C
let k 0& L, {7 c. ]; U+ }$ ^
;;计作出过评价的邻居节点的数目
' l+ `/ ~' Z5 x1 c- wwhile[j < people]
v, r1 W9 ?: k& W1 D( k+ _[% f3 C% A4 o5 C5 H3 Y
if (item j( [credibility] of turtle (i + 1)) != -1)9 o! q! `; c& R3 B
;;判断是否给本turtle的评价质量做出过评价的节点
5 f; `$ T7 m$ X& L3 n[set note (note + item j ([credibility]of turtle (i + 1)))
) G3 _7 X; a3 d) O: n1 X& l9 z;;*(exp (-(people - 2)))/(people - 2))]
' V4 [' d/ [, ?- r6 d1 Q( vset k (k + 1)
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set j (j + 1). N: }6 w' j2 M4 g
]5 t$ h. T/ h( f. ~
set note (note *(exp (- (1 / k)))/ k)8 @+ _: G6 V0 ~/ _, i/ J* O# O x3 g
set credibility-list (replace-item i credibility-list note)6 ^9 a' Y b' P
set i (i + 1)
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: c8 b Y' d ~: P F4 c7 Z1 ^9 D8 rend
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" b) D) V. Q+ F$ ito update-global-reputation-list* n$ p+ l' X, r$ C+ o
let j 0
' L1 S3 C0 U; j; P. G( N* Uwhile[j < people]0 W7 v o' l' |, d9 D
[0 J$ M: m% ?& g5 n: E' y
let new 0( u4 p0 c9 o0 x' q/ t* Y
;;暂存新的一个全局声誉9 |6 n/ I! a% ~5 q1 z! r
let i 0+ a6 }& p# E) `2 {8 f6 X
let sum-money 0
) {! g. }. c1 y1 e. m5 |. @+ I2 clet credibility-money 0
$ g6 Z( Z+ w Q: E+ V1 Bwhile [i < people]
+ N& J# t' I4 U0 X6 T[
7 U( g6 _8 g, pset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))6 O; _7 x, @% |2 T, P2 u
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))- B( q5 i( e+ C: ]- |) A& K" q
set i (i + 1). ]1 J% p7 ]2 S. G2 J* @
]
8 h5 R7 `* ?, [, ^% d9 tlet k 0
% {9 o8 i) K# Q5 A6 @5 l+ q& mlet new1 0
1 I% Y% v$ m7 k% ^9 N. `! A. b! kwhile [k < people]/ L6 ?+ m6 P( @% ?) b! H$ ~/ K0 m
[" [/ Y# ]; M! n( G* Y" [
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)
1 |& P7 @7 e$ n' f9 h' d U6 Cset k (k + 1)
) P$ k) s# k& Q' u]
4 b4 _, |3 p" {set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
9 o$ @0 u" J7 U% Vset global-reputation-list (replace-item j global-reputation-list new)
! z. t* T) N1 R- N) Kset j (j + 1)
% u: [, s2 ~7 B' l]5 I& C; h9 P" K; n; r8 x1 b
end
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to get-color
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set color blue* F% N0 g3 C% b7 F3 y6 c# m8 t
end( w: e# {& j# i
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to poll-class
7 ^* l$ k( @! @+ Cend0 O' \& J( Z7 v7 G
# p7 d# Z- ~' |5 F5 ^' ~# N8 ato setup-plot1. t" Z `& Z& ?" a; p
+ C, s6 `+ U1 M5 i+ d2 a% fset-current-plot "Trends-of-Local-reputation"3 c4 e7 p* m! |; W, j: {+ V2 M
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set-plot-x-range 0 xmax6 u8 x, ]1 L' b: _" C
7 X2 x! N' b: u0 {; @+ W
set-plot-y-range 0.0 ymax* d0 X! r4 c) l# n" T
end2 L: x' i* u/ E9 M
% ]# ~+ t. G6 u) G7 e: M- sto setup-plot29 N% \! t. r" D) d6 z
: C; g0 _9 B+ h( }# p- Rset-current-plot "Trends-of-global-reputation"4 E) }. M1 d: m9 P2 @
1 A$ A& A6 V( t( ?8 ]
set-plot-x-range 0 xmax* h* Q/ G5 O' a5 D
5 x/ k2 i- T N# b1 n: Tset-plot-y-range 0.0 ymax! [& ?& V. P4 C% D! |
end
2 s% ]! s7 i) |$ C& l
- K8 p6 l6 V$ K4 Pto setup-plot3
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set-current-plot "Trends-of-credibility"- S( \0 [3 i8 F- @* a( V
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set-plot-x-range 0 xmax
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set-plot-y-range 0.0 ymax1 b' v4 M7 D2 t; B& d
end% F7 Y. ?2 h; b+ y+ D
3 k0 `0 q' I( i
to do-plots' p" _( z9 N3 s* v0 Q8 R
set-current-plot "Trends-of-Local-reputation"
/ }, C0 W" q* r' Dset-current-plot-pen "Honest service"0 ~; @" z& Q! L0 y* L$ U3 K
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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