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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& u2 ?3 k- D! X8 h5 |$ I. y, n! [ B
globals[
8 T/ a: S6 z, J# ^0 gxmax9 g5 [% b! S0 X9 T! Q0 X
ymax5 v4 t, y% V+ K' y# Z) o" W
global-reputation-list! |! M, ?4 \' \9 M0 b
2 T7 k' J) W2 _% x1 ~/ M$ l) }
;;每一个turtle的全局声誉都存在此LIST中
" o2 K7 J) r2 c& zcredibility-list
2 y! j$ Q8 z" O( R* |;;每一个turtle的评价可信度
8 \+ [0 h: I# h; {$ ahonest-service
6 U+ G- a/ B# Y* ^! n% t4 Iunhonest-service
# q4 I u: y% poscillation+ D$ b7 W. }, t( l1 s3 `
rand-dynamic
2 P# R- Z, Q" H( q* t]
. h2 \% \) X9 p
" t9 M( O& B& W0 S* i# v* bturtles-own[
2 w4 ]" k4 Z" e6 y/ M4 }1 X9 strade-record-all+ p5 j* ^, b( n( c7 [( t5 l
;;a list of lists,由trade-record-one组成
. S+ I5 E/ C8 U/ |; ?6 f/ {: Ftrade-record-one: B$ l% p+ u; N3 S1 F
;;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 F8 U! o- s# d: E3 k3 E& _0 k4 B2 h
6 n2 t# W( u* F1 r# Y
;;[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]]/ ~, b1 H% v9 t/ N; [# s( _7 \
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]) i( }$ D9 s/ X2 h4 N- 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% z) x- P) C. e! M0 }
neighbor-total9 n1 g2 d: c3 b. ~* [$ k
;;记录该turtle的邻居节点的数目$ J+ z" h9 U9 Q6 g4 {. ]0 F% c
trade-time
. w$ T5 s7 Q& `. }" |1 x* ?;;当前发生交易的turtle的交易时间0 D- w+ H& f8 R
appraise-give9 t5 E* k u5 a9 n
;;当前发生交易时给出的评价
t/ i* r: i6 }1 P4 Cappraise-receive* R1 K9 H+ i, V9 l! ]! N" i
;;当前发生交易时收到的评价
/ L+ b E8 A! D3 @3 |( dappraise-time
7 K! v" t2 x0 d& {+ H;;当前发生交易时的评价时间
) R, w* K. I$ ~) ?# K5 ^' b- q2 i5 A1 I" hlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉0 H5 V; [& f3 k% E
trade-times-total5 P# E' r6 v5 p; K/ K
;;与当前turtle的交易总次数& b2 E3 J, ^. g, B: X0 K
trade-money-total
& N. o" y2 e4 b% @, ]+ D! P;;与当前turtle的交易总金额% Q' ^7 n* M& Q
local-reputation; z/ C6 f% `5 w4 }; L/ J
global-reputation) Z3 }( \6 a9 F7 L2 R
credibility# P: ^' {9 I. `9 m. x4 H4 Z
;;评价可信度,每次交易后都需要更新
" `8 Q& V. S) Qcredibility-all
$ p+ H) W7 n+ X/ g;;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
7 [/ D# B2 w$ N& N9 N, i
% S) ?7 }2 v) N% k& _! A# r q/ X1 T;;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0.55 W$ J: p+ R! n9 ~ `' @
credibility-one- G/ L6 m0 P- i5 `+ N! u
;;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( A. `: ^% ?1 y# |- ~6 B7 K
global-proportion
* U7 e, O; K) v# rcustomer
" Y F" B( y7 x# F& U+ qcustomer-no- m; I0 q8 N0 M+ \+ s: C6 _
trust-ok
| ^. E s0 r( Utrade-record-one-len;;trade-record-one的长度$ P* Z% c ^. q
]
5 d6 J8 D _! a0 a: p4 R5 A" c/ l) F- R. Q
;;setup procedure% O1 s% |; k3 `, T; K) `: k9 R+ r! N# `
8 o3 {$ p5 A- y+ q$ R
to setup
9 o( n2 D! l( o# A9 V5 l' i
( }) e% H( A# R, R/ l! n, Vca
9 w! K' _1 j( k5 e2 ?9 Z% g4 u6 C7 |0 D+ O6 ^
initialize-settings1 L! {( p3 n( V: {, \% A% \5 Y
! a* v5 X/ D7 r/ R* Z/ xcrt people [setup-turtles]8 ^ D: V1 e8 W4 }8 @3 ^/ z# x
6 p* s# ]# M' Z3 greset-timer1 ^1 n) F/ ?. H1 |( F
" p. u R$ C3 W! K9 {+ H2 G% U$ p
poll-class
# h" L. ]. S8 M* T5 d; L: A0 O9 r! O+ P; _
setup-plots. Y3 [$ p+ e4 g/ ?: e; p' g
& X6 L: A# V4 cdo-plots
3 u K; q$ c5 @ Dend D# Y) C; ?( i
, a- [" {" B5 E" yto initialize-settings
9 C' k, K/ ^6 y. c4 k# m a6 r: i: S) x4 v) B- Y0 D
set global-reputation-list []
2 a/ n4 N& b. V3 n3 G1 N, ^7 j, x
' V) x, O5 B% u5 Aset credibility-list n-values people [0.5]
x) T3 u r) U/ ]0 {
6 A& I4 f2 s* B. m0 \set honest-service 0
( @$ G2 a1 G7 {: b
- y2 f$ P3 P- U+ v% kset unhonest-service 0
1 b* O1 m: y$ `& G) M
) d! h- P: B. {: D" a, w* a8 zset oscillation 01 n8 ^7 t% Y/ N. X
8 c6 A# ^! A: y0 u6 y; G; Y6 ~& P
set rand-dynamic 0
. m0 s: H7 q0 {* hend
1 d% }" f( q0 k4 A9 X
- N4 l- T5 u" m1 b5 ]1 m3 jto setup-turtles
) ?/ t- o1 T% z4 U/ y) |+ c, Pset shape "person"9 W6 j: W8 H; n" Y# q, y
setxy random-xcor random-ycor
' B& C L$ y+ f: gset trade-record-one []
; A, J: V* n& E
7 w" n4 X3 _- N3 @set trade-record-all n-values people [(list (? + 1) 0 0)]
- O" {' x, T$ p" \8 M- S0 x4 e6 z7 S0 B7 i" m' s
set trade-record-current []
% D; |; z1 D `* q' Kset credibility-receive []
: h4 v5 {, d; vset local-reputation 0.5& m( H/ h. `1 g
set neighbor-total 0# l! h$ E8 p$ y# L# T7 B& G$ U/ }
set trade-times-total 0
2 {! Y: \; |# {* Pset trade-money-total 0
% P4 W4 W) A1 ?set customer nobody+ u" B8 v h4 N) J( h# ~8 G8 `8 X
set credibility-all n-values people [creat-credibility]. O( r( \6 K) b( l! b7 c$ r
set credibility n-values people [-1]
1 Q9 k! E5 \) B! d5 Nget-color
3 v! I1 c: x3 b2 m# {$ r& {
0 ~( }$ K% B: j' @9 Send
2 x6 |7 `2 w& ~5 s; }! @
1 {6 b9 E* v% Y+ t$ c* bto-report creat-credibility
2 L% K& o; }1 R/ e8 }& Vreport n-values people [0.5]( c# c* A. K |- c d
end$ T" ^8 z3 ]3 O! O! s
2 A+ @5 I8 Y4 Eto setup-plots2 B: V0 A) u; I, U0 g
, X/ v: W. O: r* u' A) Z) iset xmax 30
6 j0 x5 L; {0 ?) [0 ^. {# @* q, T- w1 U+ V" K
set ymax 1.08 E) F/ c: f* c$ }' g6 w
# U7 e/ z: `5 w" S/ iclear-all-plots$ t4 `% i' {# a W, s
1 \0 R. N$ L, esetup-plot1) s% F3 c. c* Z7 C! o' q
3 n+ } ]: u4 x2 g5 L# Z6 Psetup-plot2
/ K, x) X T: e7 p7 a& D; o
: K) U2 K4 f8 W# Z9 b( vsetup-plot3; d* Q d1 B# O$ l5 n8 p4 N
end- Q/ U$ y' r- }# G
7 r$ \4 H% u+ n A' y; ^, K4 I;;run time procedures0 u) i5 ]0 a; U% T7 k
5 M1 _& d) K, B) eto go
: S, o! [2 S p8 ?, R2 p. [
0 A9 ]5 n/ J& h: mask turtles [do-business]
8 y! z- b4 j3 gend9 I! U8 H( c: Q5 {
( s1 Z3 G5 L& uto do-business
# @& Z8 e/ E; b: D' I/ O$ S- i3 ]! q5 u# S
: y. ^5 F- S0 k3 Y
rt random 3600 o w3 p0 W- K* H5 k
- O6 l8 z# u, }8 q4 S; q3 q( f
fd 1
$ n7 B3 Q9 E3 I0 Z' I
- r& H5 |6 k( q2 h8 c8 Kifelse(other turtles-here != nobody)[
B6 t) \3 h# G$ F! c+ \
3 V' a$ }+ W' X U8 K% D! Vset customer one-of other turtles-here8 e, m' v r t- i* k9 F4 f4 i
* ] y4 _- q& s2 ~; E+ l& S;; set [customer] of customer myself
+ H b" K% M. V$ k9 \. B, G; i9 g8 o6 f9 `( n* U
set [trade-record-one] of self item (([who] of customer) - 1)% Y" \! b. y* p0 D$ B7 B
[trade-record-all]of self
! n( J5 w* l a3 D }% V: r;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
m4 z7 b7 R5 U- w+ X0 T, V! e4 k) ~6 b
set [trade-record-one] of customer item (([who] of self) - 1)
5 Z3 l! f! j+ x2 v. T[trade-record-all]of customer# V) n& V7 `8 T9 |. P5 n
C% O) |5 K/ J: c( h2 S, e
set [trade-record-one-len] of self length [trade-record-one] of self1 j9 R( q5 @* I9 ~2 V
- y+ ^8 w/ J& v! ^set trade-record-current( list (timer) (random money-upper-limit))3 B/ n1 z; ?4 x1 G
( _: Z- M9 D) C" xask self [do-trust]
! Q" a" ~8 W2 f9 P' K" ];;先求i对j的信任度
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if ([trust-ok] of self)9 x* \. V+ C- j/ V2 z7 C
;;根据i对j的信任度来决定是否与j进行交易[
8 U. y; t m2 a- q6 c' Fask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself9 `) [% V' g0 H1 D( o9 B: D
% L6 v6 P# Z: @$ G" V2 C+ O+ v
[$ G4 V% C7 k. g$ X- w0 N
7 D- h, ^8 V0 H% a, C
do-trade
9 A) T4 N9 h, n
0 ]& o' ?. C$ _3 ?2 jupdate-credibility-ijl) D9 e( S# Z! Q" m2 H9 r1 T$ O
0 T, w6 D& N- I* q1 |0 ?3 Aupdate-credibility-list7 N; Z) A, H) J( U, f0 @
/ w$ Z$ R1 W" d4 y& e9 Z
6 I; w, C2 ^' F# i+ k O9 {
update-global-reputation-list
/ i# q- H4 j/ |$ }4 L5 a! {- T- j; \5 e* d, T
poll-class! O% T4 \: D- C1 o1 h4 m3 u
( T! I' U$ V& T; N0 rget-color
% a4 q& D" |6 A; `" B0 M+ W$ A6 R; \2 ~$ c; f8 k4 g( k
]]& \! F+ g" T5 j E, T9 h
4 b' V) i* F( N: u( w1 _3 e, e5 c" m
;;如果所得的信任度满足条件,则进行交易
5 L( T4 M1 ^+ B( m% ?6 h4 w
. p2 z* R& m# n' d[* a0 }; o1 ^/ O1 ?2 j. h
% Q! \( o& {# q! K7 q
rt random 360
, `5 |: Y' o0 }& p
' y$ ?6 e* }* f; Jfd 1
& n& X$ h7 x3 S) d
% z( j2 V& o) o]' |+ i9 t' k0 z/ _* [) m9 O, W
5 H9 ?3 H* Y8 Send0 z% j# E( z: B% Q* @0 W1 i q
& T1 k- o" C; Z7 x3 M
to do-trust ) l. ^8 ]# }- S, ?( Q
set trust-ok False
# m2 P$ @: [, g& ?
! Y7 I# [) F$ V* b2 ~5 s' r! u% w6 @: c: H3 @
let max-trade-times 0
3 e2 `" v. X4 j# H6 z5 M/ kforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
3 L J' Z& E3 ~/ J5 Hlet max-trade-money 0
/ L' E! F- O) M+ T1 ^foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]* [/ c/ \$ u# D& V4 H
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
, X `7 Q' @0 `; A# G4 C, \
& D) r8 Z# o1 r# K( M" T7 v3 U( b9 Z6 z/ \' c
get-global-proportion: k( O0 X7 V6 T- \
let trust-value6 M5 x! t6 d: {4 o! G
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)% `2 X. o5 i) y( }# u4 j. B
if(trust-value > trade-trust-value)
% t. W9 C& H# S2 \[set trust-ok true]0 ~0 g- Y8 ~& ^. D! ~
end; U) t8 |$ A' t& h5 `
4 z2 I6 {+ h6 R- I
to get-global-proportion* r* h% Y, y2 X0 z( N0 B( h# N
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
' W1 n- a P/ C& w" ^5 }, }, F' q; i[set global-proportion 0]
9 K0 c; Z" J. ~[let i 00 x/ ]/ m9 v8 @6 q- g+ J1 H7 {) }: b
let sum-money 00 L8 ]* m& F1 v' a
while[ i < people]) h5 ~ f& u# N+ D; J, |: J& d
[
- b' c9 }, K0 \" X' t- W6 t( \if( length (item i
- Y' L4 |4 F3 b8 s: _[trade-record-all] of customer) > 3 )6 m ^7 s" X6 J5 A l8 D1 Z
[
/ }% e }; e/ ]; [% @set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
4 k+ t0 y" p# N# t1 m$ f1 n/ Q P* s]7 H2 c- U" l3 {( S
]
9 n- O* A* t; V6 G. H# T* klet j 0- n$ r6 G4 c' s
let note 0
6 ]; L+ O& e, E3 p& wwhile[ j < people]! T m* j- R; U) U/ @! X; ]* c q
[
* b% l4 \5 K+ ]9 ^9 l! Qif( length (item i$ r8 ]% `! g. b y: T& B
[trade-record-all] of customer) > 3 )
( ]4 L6 Z& y' f+ Y' E[
& V3 Q# ^0 w% R9 O! h8 C. w% jifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
9 U( j% o; g' k# S[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]4 W# ?$ \- A4 @: K8 h$ i
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]$ f- z) u1 f: m
]8 D" |+ f* s) D; W
]3 `0 M9 C, r" s
set global-proportion note
; r6 L6 V, H$ g4 n1 _) S]8 ]$ d& Q0 P; A$ z% }& h
end
5 R4 F$ s6 N# v5 U: M2 q' X6 U1 N$ Q3 M4 Q. e
to do-trade
, X+ H( u A) O N' Q1 B;;这个过程实际上是给双方作出评价的过程
8 k" V6 X0 Q+ L4 F) l# tset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
7 _" ^8 \2 x5 H0 ]- lset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
9 P) @0 E" z% R' ?set trade-record-current lput(timer) trade-record-current
* n( k3 a! \) T) ?& l$ y. l;;评价时间
$ z( h9 |2 G6 B% A3 u/ uask myself [
* ]; w8 t8 W9 |update-local-reputation
/ }# s6 _6 h$ I% ]: C: |) gset trade-record-current lput([local-reputation] of myself) trade-record-current. r% l( [( ~1 z6 |; v+ ]3 k2 T
]6 ?8 r. R$ u' U* _( F$ u7 y1 V
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself" {: F6 d! ]& m C: b( w
;;将此次交易的记录加入到trade-record-one中. R( p, N* g1 B
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself). N) H8 I! S7 G2 X" }: g
let note (item 2 trade-record-current )0 [/ {2 i5 R" \* U+ {
set trade-record-current
4 v3 |& t: m- w/ s4 f. U' X(replace-item 2 trade-record-current (item 3 trade-record-current))
: P2 [1 z- d/ P- R: N& s9 A1 wset trade-record-current% {, l3 X, S9 s) s
(replace-item 3 trade-record-current note), a( q3 S% o3 I6 i
. N B; {# d0 \5 `4 S# m+ C' R
2 n& K% x, p7 r [
ask customer [; _0 Z7 W# V% B# e
update-local-reputation) C: U/ C' b2 q; q# w% r/ Q
set trade-record-current/ O* L- j. t6 z! S) H7 W9 L; d
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
. |- l4 t" U# u& r: w9 A( |8 f]; E+ w* x# |1 I/ k% G0 [
. o1 t4 ~% m/ n$ h3 K
5 [% ~& ]3 W# J v6 U- t
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer2 Y$ Q8 W0 m1 d/ f$ e/ b. M& p- P
) a4 Z) @7 s3 m1 M6 [$ B2 f4 w
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
' S8 s3 `; S6 t2 o1 ^& G H;;将此次交易的记录加入到customer的trade-record-all中
$ Q) i) ^6 b. j% K1 hend4 J0 L9 t; R/ Y, B, e
3 o% }7 o8 p6 k8 h6 m8 M6 N
to update-local-reputation
. I) o# k# b; _set [trade-record-one-len] of myself length [trade-record-one] of myself
- U7 q; Y- n1 D1 s9 c) S" E: A3 u! v% X, d7 d; l; h- `
3 P5 p; Q# n8 W( o! V; _. e* p5 W
;;if [trade-record-one-len] of myself > 3 * V/ U5 i, K' b$ C) r" R3 e8 x- f
update-neighbor-total
9 X- p9 J2 d) c2 A! M b0 f;;更新邻居节点的数目,在此进行3 b: Q: s4 _. Y: p( s) ^$ S
let i 3' q8 }: @6 q) {, z% y; X$ k: K
let sum-time 01 v1 L b4 c1 \* C1 t) E" P+ ]
while[i < [trade-record-one-len] of myself]9 u) }/ G( o8 k6 i) F: i$ X) m! ~
[
s4 M! ^2 c( l2 tset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ). n* o1 I9 V& r# u( n
set i% K9 M3 C1 w$ a# H5 z
( i + 1)# X) u! J6 J. A
], w( {8 O% C# s7 |
let j 3
' B' y; P# {7 P: `& F9 Dlet sum-money 0" \1 n6 e0 u7 S) V& p* h
while[j < [trade-record-one-len] of myself]
$ E' ?! b* M k, t) X: I/ {# }! ][2 U# Z( [0 y& D' ?2 k
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)
! X" N0 w( x/ F, Dset j
) s4 u6 ?0 L }0 l/ B9 }$ Z8 m9 }( j + 1)
' `" _% g- U1 t' U. ?" f]
* K9 y- {# T4 P! l$ _" Mlet k 3
# O4 h6 Y' X+ Clet power 06 a- J) q/ E: p# h
let local 0
p. |% k+ Q& F: f Ewhile [k <[trade-record-one-len] of myself]; C/ B1 f/ `" o; {
[
3 `$ I8 [+ y0 z6 l4 U" hset 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) # K J# j, Q3 E
set k (k + 1)6 S, u! W+ Z$ a& j: L% z
]7 F1 U9 b r' ~* D- u+ |
set [local-reputation] of myself (local)
) K2 Z, F0 N, a' O1 h# Jend
& J) a% ~* Z" L9 S; b6 N8 G7 r
. y4 t* B; @5 j, t5 u. Jto update-neighbor-total% g ?4 Z v$ ?+ w' J, q, F4 a# F
) _, ]" L$ \& Q/ a/ M) wif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
# J3 A8 y! |" H x( S5 |% k* k' o3 Z. K6 D$ h! w
& X7 w: Z# y9 P- |; }: ]0 R
end3 T- t5 K/ O# h9 @7 @! O2 u
# W" O/ D/ D) G( B( B6 a
to update-credibility-ijl : x" M; y% _5 H& O2 k8 M
! [ h( x& w1 X; f5 _/ i, z;;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。. i* `; x6 y/ e" ?
let l 07 T7 Y( y0 U$ t0 y- Y" C1 W
while[ l < people ]
1 g; Q: _6 j7 y2 [( g6 e9 l: |;;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5 U: q0 P3 H% M6 C
[; d* Y+ }$ r% O3 z
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)4 E5 m6 l X* h4 X9 [' u2 r
if (trade-record-one-j-l-len > 3)
2 p P1 R" o& w, H: f- M[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-one9 b! x) v* n8 t4 a! e
let i 3. R1 X/ j4 O' i I S' D" e! v
let sum-time 0
2 e; R1 O: e4 a9 o1 X) K+ Q( Nwhile[i < trade-record-one-len]/ ^, A6 N1 W+ y: j4 c" P
[
. b2 z3 I1 T. j- I; u0 Hset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
) v$ u7 ?$ L( J. {' C2 C ]set i
9 ]6 g# B- d1 P4 O0 R9 ~, K% F( i + 1)
% v7 a* i9 U: x: U# r]: V9 p' f* C9 X. i
let credibility-i-j-l 0$ q( M; u9 H' I) r, M$ Y3 k; l
;;i评价(j对jl的评价)
' H- Z F3 S! N8 ?let j 3
n# l D% A1 |2 Z1 ?let k 40 ]5 j. i5 o9 q0 ?& W4 c
while[j < trade-record-one-len]6 Q5 b- ]7 [+ w( M6 @
[" R( Q5 O, Y1 i- _8 Q0 ]4 e
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5 w H- [& o( B+ V1 L
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)/ f: K. |% T/ q
set j
4 h7 @* W2 d) f" X9 a+ W( j + 1)3 E) S$ x9 V: o& D/ n
]7 }: c' q: I6 }2 H' s; v- p/ f& q
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 ))3 D8 l' P# Y- \( w4 e$ C8 ]2 ]6 C
( h% o; C/ @, `$ f
6 C8 N4 m) q8 ~* V, slet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
8 B7 _2 ?8 a! J. K;;及时更新i对l的评价质量的评价0 Y$ e4 X: X2 M/ Y. v* a
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]2 A# y; d6 @1 X) n+ G" b4 j6 l+ c) V; w
set l (l + 1)
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4 F; U2 [% m2 }% M) y* m3 yend
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to update-credibility-list
, Q& U) Z3 q) T9 m$ {* plet i 0( {! i8 y# ~1 w1 }6 V! q
while[i < people] H2 k8 @2 G r# ?, \" X
[
5 A8 o& `; |. s. Xlet j 0
! c R# A' C b- r7 Hlet note 02 W+ N0 g0 r% t( I- A
let k 06 K) A7 {; u& r& x- b/ L' T, M/ B: [
;;计作出过评价的邻居节点的数目
. K% S% V3 G) l% ^while[j < people]5 ~0 {' x% N' S
[, T3 e d& g y& K- |
if (item j( [credibility] of turtle (i + 1)) != -1)
0 l9 C0 q! V9 e( k6 M;;判断是否给本turtle的评价质量做出过评价的节点: C/ @. Y# l$ L. Z3 {
[set note (note + item j ([credibility]of turtle (i + 1)))5 [ m& j; ~; c+ `! ~
;;*(exp (-(people - 2)))/(people - 2))]: h5 I1 S( f) H" T
set k (k + 1)0 }; [( R* [0 T! n% Q- \$ y
]6 v4 l- q. ^" }2 z2 B; C
set j (j + 1)
. O% v) @7 h+ N( E# v* k]
8 B" d6 T+ d. G( ~set note (note *(exp (- (1 / k)))/ k): R) d/ t/ H& m; z7 K' p; w5 l/ F8 E1 \
set credibility-list (replace-item i credibility-list note)/ X. r0 x) R7 k1 F
set i (i + 1)
) \, G9 a0 o8 ]]
" Y. Y6 V/ H+ q) \, xend
: [$ m( O$ a' s* P& @( Z+ T! X% @/ A' o6 r3 d; D
to update-global-reputation-list: t1 B: y& ~: ]( p# `5 I1 V
let j 0
8 p% I. B+ R. u+ E' L% C r/ S% _- cwhile[j < people]
$ R- t4 ^* Z4 D, L, u5 h. b" _[# M* G" ^. i' s
let new 0
% B% Q0 z0 C' C' z3 j! C6 i8 I;;暂存新的一个全局声誉
7 `: |. c& B* P, a8 S" }) mlet i 0
: ^; |! T$ y7 Ilet sum-money 0
, v+ g* L5 P7 olet credibility-money 0+ V% z0 I3 ~0 x3 O6 o6 L
while [i < people]
* [2 [! \1 [3 ?6 y4 j[5 c2 @- ^$ J, l, V* {, p6 d$ b/ W
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
0 G2 |# U* q/ A; i) n: eset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
( G) f( y: b* uset i (i + 1)
1 s1 s6 ?6 \# w3 t4 U0 N]
, Z Z( o. p2 I6 L+ H+ j& p8 blet k 0
. S! R" z1 z4 E/ y5 z: plet new1 0. I. w7 _2 V+ X) T" e: K
while [k < people]
2 b% R) `/ W# }% W v[$ }- q3 y4 F; K9 Y8 m! A$ {
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)# V# ]7 Z+ L' I+ f: D
set k (k + 1)% e) ], n3 B" q9 q
]# F, y- m0 i9 b L* b
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) ! B, q3 z- m, Z: \( \
set global-reputation-list (replace-item j global-reputation-list new)4 o/ I0 x& y5 H1 h( A/ k
set j (j + 1)0 B4 A' l1 t% i/ h
]
8 C) O8 x; l4 y/ K! {! |end
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" X; _: T5 j2 {! c, V5 ^7 g; O6 n) x7 D3 U( K1 n( `( {6 R
to get-color
: t! i" K& ^ I( G- }3 F9 H' n7 C4 U. }: ~3 v1 W8 d0 g# F8 L
set color blue
3 m Y3 U* Y8 vend
2 W; b9 [) k- j1 o
) z+ B9 D3 ?1 j1 R4 c* Oto poll-class; s, [( o7 `( ^, Z) N) i8 }& k
end
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to setup-plot1
$ ?! \: h$ v' X! U4 s# q0 V
& f2 j3 [7 k6 A7 @set-current-plot "Trends-of-Local-reputation"
3 l6 j0 Q, s2 x7 J) v: b/ z* W( p3 V; B8 ]9 w7 E; Y& r% |
set-plot-x-range 0 xmax1 Z$ u5 l# o1 q7 [
- ?6 L1 C, Q! Fset-plot-y-range 0.0 ymax
4 _$ q$ O: s/ Jend
* C' g2 t5 z A p
3 [; O# c0 V& Y$ s! x( ? v' Yto setup-plot2
1 J, t1 U; X! V+ Z
/ D" k a$ u; B; X5 iset-current-plot "Trends-of-global-reputation"5 ^+ F3 E. Q5 z3 @4 }
/ p' s! c" l" a u! ], Tset-plot-x-range 0 xmax& T4 b5 X/ x' z5 c: [3 r" h
. G& q8 A$ c- E3 I
set-plot-y-range 0.0 ymax
! R( x5 q& C" @ {* \ dend
2 D$ m' H, ?( Y" x. Z5 D$ S
' N3 \) N1 F/ f) }to setup-plot3
7 \+ j4 C: m1 x: M! b; t
# b3 F1 T- o0 gset-current-plot "Trends-of-credibility"( @5 C6 q* a, S1 U) i
6 R7 X. Z# S: F6 v9 W, W; K5 l
set-plot-x-range 0 xmax
, I3 c) i: o2 S" ]. E& [$ I; x8 }
set-plot-y-range 0.0 ymax
$ ^( A# C/ E! n1 L9 gend4 Y; L8 f, y4 f4 `# d0 ]1 a
7 x0 `, X' Z1 }/ l. O" a
to do-plots
N* |5 y1 l) c6 Nset-current-plot "Trends-of-Local-reputation"
. g' \5 k1 ^, A2 \3 x4 {set-current-plot-pen "Honest service"- R$ e0 o% u! r0 o! j- P/ q% u `& N
end
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[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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