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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0 y7 Z) p* N% F
globals[
$ k* D) a G2 q- x& Jxmax* T! b1 w7 i( w( p1 o/ T5 W0 s C
ymax
8 W. \( ], {9 y9 h: N9 n& w# iglobal-reputation-list/ f. S2 u4 J/ [( ^% u
4 n; d; L, V0 M
;;每一个turtle的全局声誉都存在此LIST中4 H9 v Q5 g- G
credibility-list* k2 S" E% P4 d" m
;;每一个turtle的评价可信度
9 P( |. V; B Ahonest-service& Z% ~: l" l3 D. T' h) q6 q- ?0 j. t
unhonest-service
9 ` R0 G5 l8 n* n6 \0 k4 w* a+ Zoscillation5 ]+ ^7 V( U C
rand-dynamic4 B0 J- ?0 z( |8 U$ v, w$ W% T
]
, J& ]; `: K% V7 n9 v% @* U! b, U3 f3 t' }& K
turtles-own[
6 K8 u# I' e' ?trade-record-all
6 Q0 b0 P. y4 R% f( ]7 w' s i. m;;a list of lists,由trade-record-one组成5 X! t# Y2 `5 B4 o( W/ ^
trade-record-one7 C' P0 A# ?' E
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
" u! `: x8 u, N8 ]9 O
5 J6 @4 J* ~7 W" P- k9 g& K1 w0 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]]4 @" L; S8 ]: p, L
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]
$ f* i; D3 X! M% n4 kcredibility-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 d( k, y7 t1 E5 a% p2 J) E
neighbor-total
5 `' o9 b- R) o;;记录该turtle的邻居节点的数目
* T: W+ c/ t- Htrade-time
5 J$ Y# R0 `3 l;;当前发生交易的turtle的交易时间
d& S3 D6 b* }appraise-give
6 ?$ N! T* |0 ]% M2 m! x# B;;当前发生交易时给出的评价' S$ o# j* U1 L2 E: {5 A
appraise-receive
. N$ p; t( h: p" {2 w3 x! S;;当前发生交易时收到的评价5 \7 l o2 V" y
appraise-time7 I" f& Q" E, g5 Z# x9 S8 E
;;当前发生交易时的评价时间+ J6 O! D2 s* y7 [3 @3 p
local-reputation-now;;此次交易后相对于对方turtle的局部声誉6 D" ~, \. h6 a5 f0 f6 C! ?/ K9 P
trade-times-total
& c- Q2 k Q7 y/ o4 ?" y, R+ {;;与当前turtle的交易总次数
* h8 s z% m: i3 U' \trade-money-total1 ]4 y0 F( h/ x, H; Y" M) a
;;与当前turtle的交易总金额
0 u6 e1 T& w& a" @0 L( Y. N, Y/ }local-reputation% r- o9 [0 F/ |3 b
global-reputation
1 r- [6 h# T1 E8 X' Lcredibility0 p$ x5 @, R4 T2 f) N4 M9 u
;;评价可信度,每次交易后都需要更新5 \# M4 g0 \% \! r
credibility-all
* s0 K5 V0 c5 h7 p;;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
+ ?- _* F( d* ~7 s
/ E4 w2 Q/ v) @5 H;;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0.52 q# m1 |9 X# H8 \/ w0 N
credibility-one
# p7 S7 I( G) }! z& \( V, W;;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
' h% C, \; `! z3 uglobal-proportion( W# q$ k+ _" _
customer
/ u8 h! O" x9 s0 [3 A. pcustomer-no
/ {' ?4 @! }+ z4 ^0 ^, T! z0 L5 Qtrust-ok
. H( l* M |2 K( }# Rtrade-record-one-len;;trade-record-one的长度: x+ a2 |& R1 W, \: U' y) a
]
+ s/ S9 q) T, y6 d' K
8 i3 ?! v) o/ T; O9 S;;setup procedure
0 O- y6 C) a3 G, Z$ ?
+ W5 H+ G b' t# W; o5 ^1 \. Zto setup z! D7 b7 Z5 L3 \ `
3 B4 l( V# g L2 L9 y8 _ca
" p4 K: T3 ^7 c4 [6 P8 w) l
4 P* k3 k, a u/ @, R& Cinitialize-settings
" ~* V i9 h7 Q% {- P- T3 _& a( h6 ^/ q: w! I9 w0 o
crt people [setup-turtles]
$ \0 w* ^3 K8 B9 [1 e- t( Y( S2 y" D! Z
7 |$ v! ?* H4 o/ e8 u) }1 Y; ireset-timer# }+ R; \5 i+ x3 d9 W
" N# Q1 s7 v$ S
poll-class6 K" s3 l$ m; A& M4 k
! D9 O, |$ I y ^6 I* O
setup-plots
8 T. y# s$ u$ m/ }1 C6 z5 _5 i% i/ ^( e% i* `
do-plots% e1 E8 @& z$ N* Q( w! x P' J' V0 f
end
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8 z* G9 a" [! W; S! Y7 r$ \' e! T7 Oto initialize-settings" ]- Q9 v1 S% |4 p
% F# X- ?3 o/ S/ p' e
set global-reputation-list []$ u2 g, l6 y/ c1 j; Y- V0 j
^9 f" P5 k, Y( O6 fset credibility-list n-values people [0.5], q2 c) b0 }: E3 y u) H
, c+ N& B+ x* c4 z" ~set honest-service 0! l B C' E$ a
* k1 ~3 ^+ i' K7 R0 A$ L4 {
set unhonest-service 0
; P# C6 f7 L0 _4 z+ ?( S2 U5 _! h+ Q2 i
set oscillation 02 w; i3 _+ G3 z0 A) f# L8 Q
4 N$ f7 A) E2 g J8 l, E- I# Pset rand-dynamic 0
, {( s) c, }! _6 M$ [0 f' q) jend. ?7 ]/ {! F7 I" B
& ^7 |" q4 t5 E+ i8 D/ N# D" T
to setup-turtles 3 P7 K2 p+ x& J; I. e; p
set shape "person"
; ^1 P# x! y2 T! n; E) [3 dsetxy random-xcor random-ycor
4 Y- `, F, g) N1 Zset trade-record-one []/ y1 p! w" d7 R: H) q' J
$ c1 l; {) x0 P+ @% T+ K8 xset trade-record-all n-values people [(list (? + 1) 0 0)]
+ [7 H8 u0 |3 s' R# O+ L
) L6 [, ]7 D$ _! ~+ l, nset trade-record-current []
! l) h) o9 ?' ^set credibility-receive []
5 B, k4 f( w9 |. e; ~set local-reputation 0.55 h1 ], l$ I% a, k1 t6 p
set neighbor-total 05 G- R" o: ?3 x8 t
set trade-times-total 0" o: V3 W: o$ b
set trade-money-total 0$ [) R+ q8 r5 a
set customer nobody/ G- ?1 J% }: t9 ]' p5 y
set credibility-all n-values people [creat-credibility]
7 _# _7 k* ], a9 gset credibility n-values people [-1]
$ [ Z" t9 g% |9 Rget-color
7 A1 Q6 T6 Y: R4 H3 H$ ^+ F6 p$ B _. u9 a' _" N5 {7 t! _
end* ]- P, y4 \) u& F+ d
( V) P% J/ G& a
to-report creat-credibility. Y; ^6 v/ t# |( f) g* D g
report n-values people [0.5]
0 @. v. t" [$ `& y- S) u4 Lend9 s2 e- O9 U' W; U& v! ~) O0 R: P1 i
* v1 U# d4 Q9 O4 lto setup-plots( m; H6 @; u* U3 Q
1 v; n0 P1 `' v0 Cset xmax 30
5 }. C" `$ q$ ~+ S
E6 {% _9 _: {4 Y/ Z+ ^; z# Qset ymax 1.0
0 j; Z; k! U) k3 h7 A7 a3 m0 b4 M8 q6 l6 c+ }
clear-all-plots3 T7 K. A7 U4 d! A( [
+ z% R! r q8 K, i' E4 i# G4 c' Zsetup-plot1
5 c1 n7 v$ A- F. C9 o
( D, `4 ^0 h) Z( a# k3 d" Q. Ksetup-plot2
( ^0 ]) i% {; s
* @; t0 J7 l/ S" h }setup-plot3
3 {# r% v9 k" k- S# \; }end3 y+ P/ \- m" h, }; h" j
( i! ~" e9 w6 }6 k% E) X3 P1 r;;run time procedures
: d3 C4 |( u, b* s: h
4 f# F4 V* b5 j) _% B! @% }, |6 L1 cto go( J& U+ Q8 v5 S) D3 _/ H( O
1 Q+ A% s( o) Xask turtles [do-business]
. x' y! m8 s C' D3 q5 }end
; F6 j, j n( m4 U5 }. x
* F( ~2 P' ~( m% q/ M' Kto do-business
) t* l" x3 u- u* t1 L1 q) L( D; e
0 N( K$ K4 V2 {) D- q# x& @7 [, r, Q A- U1 s6 e# Z/ g( K
rt random 360
3 ~; X7 Z7 x, ~4 y( o' A1 ^- j- J, J! G) s7 \0 R" y s8 H
fd 1
: Y/ K+ ]1 O+ @6 Y: C9 ^& V: g! F* [" O$ R6 I6 E3 Y- k! ?2 X
ifelse(other turtles-here != nobody)[6 c0 f% p8 d* {) W8 L& e
) u2 K; I# u! D, T9 v7 mset customer one-of other turtles-here8 v5 U+ j d+ I) }/ D+ I
& _5 y: h+ p: }6 N! g U;; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)0 K- y# e' d) o1 F( K& F
[trade-record-all]of self
( w8 b. W9 l2 [4 m9 W;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
! N& q% H# V5 c& q- H3 d8 v: }3 X$ r( B8 t6 h
set [trade-record-one] of customer item (([who] of self) - 1)1 ]# {6 A& I( y9 W6 V$ h$ G7 q
[trade-record-all]of customer' A. @4 Y( v0 D- v0 \; v
8 \, ~ O4 Y" A% h; M8 L1 l
set [trade-record-one-len] of self length [trade-record-one] of self9 s4 D X. y4 L7 X. p* i6 \
: B: g* u- w- N {7 W7 t$ z5 Q2 gset trade-record-current( list (timer) (random money-upper-limit))
' |+ }6 M$ v* m) y6 k$ Q6 q" j
" G6 ~; p0 z0 O" t" }( L: |5 Hask self [do-trust]
1 E! u/ _4 `: a;;先求i对j的信任度
6 K1 f. B3 f" D" X- H& X% G. Q( o2 Y, }5 E
if ([trust-ok] of self)
S. \0 Y( `* \7 H$ s" m;;根据i对j的信任度来决定是否与j进行交易[
) M" J6 A! {0 e6 I" [( M6 nask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself% W7 {. W! l; L x. S
8 }8 b" t* ?& ^7 s7 c[
2 s- T5 w# j$ w! N9 v3 D0 p* W" E; J8 f: |' Z' x
do-trade0 q8 s4 U! T: R' _; x! _0 `
; i; ]; Q' y8 g9 X) v2 z8 H" xupdate-credibility-ijl
/ W& Y: p. @* |" V+ v0 C6 u- C$ D7 h" Q! _4 ]
update-credibility-list( c, P# Q3 Q( h
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6 ^: ~" k7 g' v5 O4 i% w- a4 x/ B0 s
update-global-reputation-list
8 X- \% @/ c e4 V/ W/ |2 R9 k1 _' i; f; x* L! O
poll-class
0 G" {- o0 r0 a2 B/ R( v# B0 X1 b
8 |1 `# a5 G5 L" q9 ~9 e6 hget-color
/ @6 I/ }: M+ X
9 ], y4 S. p0 ?6 B. u]]
: g. V: v& z @1 ? o+ L
# H9 W# }; H" ~& Y# E: i;;如果所得的信任度满足条件,则进行交易( P7 j# T$ J7 Q
\: l* n! C$ n% |
[* S; E9 u7 O4 ]5 h2 u2 t+ I
1 k: _# o8 L* c) r8 K
rt random 360
1 `) T0 s% J$ b" o
3 E. W/ M) ~. xfd 1$ A* ^& e; _, c$ o( `1 `
2 P0 K. U# d- o: _; x, e E]6 l) {( ?6 L/ o% L- U8 R$ E
, \( O6 W! q$ H; o/ |6 A
end
% N: E1 {7 f, {0 U; A' F& |8 I* M2 T+ t& P, Y; k& ^) f0 e
to do-trust ?7 ]' [! x/ J; @( O) y5 c
set trust-ok False
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5 U3 z0 i; D- R8 \
let max-trade-times 0( f; y' j- |& k2 A& H
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]$ k2 r* p. z3 r* ^
let max-trade-money 0+ |. ^5 j' l3 P% ^
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( F7 I2 }% |& j. p
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
4 s6 i w, G5 Y1 b! N8 N. Q6 j% q3 d6 C& Y( ~7 m
" Y" i: x; d: l4 iget-global-proportion
" l% Y8 k+ f, Z( _let trust-value/ E" Y+ G* t7 H$ ]4 G5 [
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)$ d7 h% @ M. U8 A+ y8 L6 Z
if(trust-value > trade-trust-value)/ s8 Q2 N+ `. U7 z6 M+ ~
[set trust-ok true] Q) N9 h% B3 o; l$ G& h: A
end8 T% g% ~' N# D, }% a6 t5 c
( w7 d% }! I! u0 s8 wto get-global-proportion
+ a; @" X$ C; y5 u0 [ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)! j( z6 W& \9 _6 E3 i
[set global-proportion 0]0 N1 Q9 y2 g$ ?. c$ L+ @6 |
[let i 09 p1 S2 Y' |5 C
let sum-money 0
# e5 Q; N( Z2 [+ L5 M% c/ Wwhile[ i < people]
. {. y- H- @; U1 i[ _( q7 N7 [8 l g
if( length (item i
7 I' h+ z+ L/ \0 Z0 L& D2 S- V7 p" m[trade-record-all] of customer) > 3 ); S2 _. _4 J+ i3 W
[; Y8 L& x6 i# @, p h# m. u1 h
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
( K/ L) [; U# r' R, b( `1 p]
& A% Q5 Z; C4 ~* h K2 R. k2 `: {]
0 {* H w3 a& {( b$ a A8 i4 Glet j 0: |9 ?2 r' U. o! |1 y
let note 0
( a4 c% l. v Z/ dwhile[ j < people]
% w, A5 v9 f; k& c[
- A/ r% l2 e) C* w# Q" x0 m. f1 D' Xif( length (item i9 P& m% Z3 t) c9 L) Y) ~2 U
[trade-record-all] of customer) > 3 )
# v7 j# J2 p9 `3 F! V[
6 ]& d) l: W0 P2 \: p% Oifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
/ u" F g* W: K" I' H( ^4 A+ I* y. I[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]; T' U5 r& f+ y( ^. M
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
/ u3 `) H6 I1 `2 c+ `]
. H2 B% }% i2 q4 e ?% `2 w]
7 Q, ?3 V$ }+ Z9 y( k4 h$ Mset global-proportion note
8 D7 W0 J- s1 v4 ]" N]" d7 L% K2 c9 A
end3 v: v( @; @+ s. W- g. a0 y
$ q f$ s, e& V3 q$ @* y
to do-trade
+ v# m& q- G2 z- }! C9 K: Z;;这个过程实际上是给双方作出评价的过程7 ~3 b' U5 ?& p+ Z
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 X$ [! |9 h, O* b4 T+ b2 Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
( J- U! s8 q) x* ~5 a" wset trade-record-current lput(timer) trade-record-current8 _3 L) j" W/ [. }& O
;;评价时间) @' G5 ?) o# p1 p! _; D! b& q
ask myself [- @! Z6 V- e0 E4 n" b+ s
update-local-reputation3 r v/ ~2 a: D6 Z/ ~
set trade-record-current lput([local-reputation] of myself) trade-record-current" X0 B3 V e M! K9 |, P. P2 _" \
]
8 C0 S9 w" i% A' c) Eset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
9 F% ~+ X9 P- o;;将此次交易的记录加入到trade-record-one中
( P. m) k# Y" c9 kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself): h' [; i, `" g; r* T) t6 r
let note (item 2 trade-record-current )
, u. b, N1 E/ qset trade-record-current
+ a5 x4 h. I1 k(replace-item 2 trade-record-current (item 3 trade-record-current))
0 e+ j! V7 C8 q" zset trade-record-current
5 g; q4 E5 z! M9 Y+ X; n( e; g: l% B(replace-item 3 trade-record-current note)
! Q6 c0 h2 y3 w6 l2 _8 B& V1 n
" i( E* Z$ ^8 L: Y5 J$ p) d" x
5 b6 G4 r+ }4 Vask customer [
/ l. K) x5 Y% Z+ \$ z5 B( a5 ?update-local-reputation
3 V- ~2 _) N6 j' r. M& aset trade-record-current, P+ B, }" [: Z
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 8 G# F3 S7 H2 s& X% A1 ]
]
a7 z8 ^. u6 D& `! r# p# Q) y3 L" S* E; o6 _! }, [+ v
- r' I" C8 \: \' R2 Xset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
, f3 Q( B2 ]+ F: b3 q( K. n& y" z+ N R
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
& A; o3 { i1 [3 O+ L$ P& y# o;;将此次交易的记录加入到customer的trade-record-all中
: m5 k" Z4 \; g( t e+ L+ L1 |end D8 c+ P( o; Z0 R, J
9 g4 C% K! E& r& d' `/ @! eto update-local-reputation" n% x) Q' { p' ~4 e
set [trade-record-one-len] of myself length [trade-record-one] of myself8 g% H5 g- S) P" j1 v6 G; b. j
$ p8 L0 _& D$ }) f+ j) j, b0 E: a* a# |( Z+ c
;;if [trade-record-one-len] of myself > 3
6 g# w6 S8 v! Y4 A# j" pupdate-neighbor-total
9 {) o+ {* A8 D K$ S;;更新邻居节点的数目,在此进行& k% z8 o. y; ^
let i 3
0 l. B5 ?3 Z& j, L/ alet sum-time 0
0 N' y- s% S+ n ~8 T' Swhile[i < [trade-record-one-len] of myself]
5 p$ W' c! l% ]3 @0 w4 ~& o8 [* q! \[! w2 W5 |8 D1 N; P" i
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
) C E& R, W. D. H* @ z% Mset i
4 ^ M: e# K" ]: A) @# f( i + 1)5 L! A; W' L6 w0 v9 M8 r! v1 ]9 a
]* ~0 v5 n, m( H, ]$ j* [7 `* p7 H) f
let j 3# ~7 C* r m+ z) S! O
let sum-money 0
_: {% O4 m/ U0 _/ L( zwhile[j < [trade-record-one-len] of myself]7 P% Q( w o P8 Q. M- L% O
[
7 ^# r, ?6 m* ^: u) w$ ^3 v) Rset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)) |9 h: [' u7 E- B
set j
5 T5 j+ G. O& d& ^' L( j + 1)& Z B4 z1 [3 {
]
0 s' Z3 N' o/ m( F1 |$ C, O8 xlet k 39 R$ a; m8 q1 m/ Z( W$ z
let power 0
( U4 e3 [- G. p7 blet local 0
- o+ ~4 @" i* l8 w* g" l2 Nwhile [k <[trade-record-one-len] of myself]
; h) c: M4 e4 F+ [' _2 Y" R[) H* I( U5 g7 T- y3 ~
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) 0 j' g* A" [) h0 E3 K' s7 I
set k (k + 1)
# p7 O' _, i4 a8 |+ _) N2 u7 g b2 h]
% ~' R- v& g& r. wset [local-reputation] of myself (local)+ a' i: n* y4 c( h4 x7 {* E' G# w
end9 W' a" E. i' c% i5 _2 Z
4 J* Q) b+ S4 _8 H- U4 V8 a1 D! g Z
to update-neighbor-total7 G A, Q; m! Y2 e% @* y- a
8 V9 |! B4 H8 ~- u: t+ I9 K. W9 V" qif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]* m; p$ ~; \) O- k7 G4 r
5 K( T& C T0 M
; i4 i! a4 t0 U* Z2 }' iend, ~7 C+ \* r$ I$ \5 i8 `( H9 K/ o
7 g0 D+ P2 A% X2 M) s. T3 G
to update-credibility-ijl 3 Q4 {) t* m" E! f! A
( k1 b4 T! L9 R
;;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。
+ @$ H4 [% v! ^! j3 Vlet l 0# {$ F$ ?" O! L9 G' \
while[ l < people ]
$ e5 T0 _6 W/ [;;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2 ?* ], ~; w( }* \
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
7 S+ z' d I* t4 i" Aif (trade-record-one-j-l-len > 3)) d. i$ D5 A( Q! B& E
[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- l$ ^( t1 P8 K: ]
let i 35 m9 O: m% H6 z
let sum-time 01 H+ r" w: ~5 Z. N
while[i < trade-record-one-len]
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" o0 r% K2 ?! z* A( wset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
, U V$ H; H7 a& S I9 P7 Z# } tset i3 w' ], y1 {. _. f. A/ Z* Z
( i + 1)
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, O3 s. p& G9 [0 Xlet credibility-i-j-l 0
/ }6 Z1 T+ ~% Z;;i评价(j对jl的评价)
; J' c O0 J! W1 o# |let j 3
/ m5 I4 v n# mlet k 4+ J+ T) n' _( ^
while[j < trade-record-one-len]
+ v# T, T" u+ B0 ?# {, \4 I( v0 i% G- l[) B. e q; Q5 q! g& N* ^( Q3 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
4 w# X4 n @& Z" n+ eset 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)2 L1 q9 Z4 }! B2 K- H; W
set j% }7 W* J4 G6 K% `4 D
( 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 ))9 a1 I/ y. F. b1 P
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let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
( X; A' I9 j% q/ F4 P4 u;;及时更新i对l的评价质量的评价+ S/ z, f' N, Q% R, P4 X3 ^* C; w
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
! c! Z, B0 g3 J' cset l (l + 1)4 R+ o8 Y3 a) q; Z) J
]
, \0 v6 f5 M% z. I7 {, @- {- ~end1 q8 X6 I, J3 n
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to update-credibility-list- ~& t! N) O* J# Y
let i 0
' O6 H( @9 s7 f( D& q0 cwhile[i < people]3 h( Q6 v! M& g0 Z6 x
[
% z4 W# Z; Y6 Olet j 0
# H6 I7 J) U7 g$ R) Q: wlet note 0
) i" d0 p5 g0 x' I" Alet k 0
9 ^, U& f4 }; F6 a3 f1 h3 y% Y;;计作出过评价的邻居节点的数目
5 J) D; ? f8 Y$ Z1 jwhile[j < people]! |4 x5 {/ b8 m) y6 C, _5 e
[. Y p$ Z$ B: Q$ v2 D
if (item j( [credibility] of turtle (i + 1)) != -1) z' S' ?. r, B2 S7 Q$ o
;;判断是否给本turtle的评价质量做出过评价的节点0 x! a! ?/ d. J
[set note (note + item j ([credibility]of turtle (i + 1)))9 X7 v1 C, N7 Q/ j# [
;;*(exp (-(people - 2)))/(people - 2))]
9 m1 t. a# _, M" Lset k (k + 1)
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r( }/ L' f( Y) V4 O$ Kset j (j + 1)
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0 r1 o g' H- _2 q4 @set note (note *(exp (- (1 / k)))/ k)6 V& v/ I5 Q8 r, o5 R8 }
set credibility-list (replace-item i credibility-list note). ^& D2 Z L7 ^7 e# h
set i (i + 1)
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6 t* a; O8 w% pend* K/ u3 z4 Q" g* I- B
- w/ i! i I& J5 u D! L# Dto update-global-reputation-list
2 \% ~9 O) ]$ h' ^let j 0
$ o' o* m/ z( M2 ewhile[j < people]5 G& S# H4 i. I; J- {2 n3 p
[7 g$ K; o) S: t- m
let new 0
& W3 {4 m4 L) K t, {;;暂存新的一个全局声誉7 a, H/ E" c5 Y
let i 0
) `( @7 A9 {- k: l, u& P& c& Olet sum-money 01 a% q) ` t7 Z4 }9 j: b E
let credibility-money 0
$ O/ d; T x" Ewhile [i < people]: E' { q: y. p7 K# g: q
[2 j) E2 U8 I# l1 ~4 [
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
: M8 v6 p$ ?; ?+ |% [. v: Xset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))% {1 D3 M3 G; C p
set i (i + 1)
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$ G3 W7 N8 v+ F5 \. B5 Slet k 0, b' h. t; K4 N1 @; X* X) o& R. j4 Z
let new1 0- W) Z5 p# w7 M- J+ w6 T# T& K t) b
while [k < people]7 W* n# W' @& [7 S- f5 C
[/ V0 n/ f. |, z$ L j% f
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); o% C9 X! @: c* t! r# v
set k (k + 1)! b3 y0 O* q' o) N' D( H
]
: l" L- O- |: o. {0 L3 Y# Eset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
4 C4 n% Z8 y+ H) X. W$ iset global-reputation-list (replace-item j global-reputation-list new)
% i. m U; T! R, h L. L' v3 Uset j (j + 1)
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end
4 L2 z- y9 ]4 T# Y1 {$ F. Y9 e. e/ i
A% ` k( R% t/ U* d2 `# O
( _$ L" s0 J" m8 V) M7 @1 kto get-color
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set color blue1 d- Q, A" q' E d9 o ]
end
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to poll-class
2 A0 X3 I- s7 S& F! jend' e$ ]' C" X" d/ Z0 r* X$ W- b# S
3 F4 _9 |) Y t
to setup-plot1+ w. l0 x! _2 }, V' x
) G9 a, g" u- } \& Q' aset-current-plot "Trends-of-Local-reputation"+ y; b* K9 G p7 |
% W% q: L: T; r+ |: h3 z6 E
set-plot-x-range 0 xmax
+ z1 O( ~/ N z) j! I
o7 T1 P7 ^8 N+ `set-plot-y-range 0.0 ymax
, }6 V" }$ z$ j3 a# eend
`4 P0 t, }. S& N9 {6 Q C2 g9 W
, s `0 i$ W- K2 u# }. W* T7 Nto setup-plot2
8 J \) M- K Z) y
3 G! g- f4 u; n# q4 p: n- tset-current-plot "Trends-of-global-reputation"
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+ p8 m* @3 u8 `- Zset-plot-x-range 0 xmax
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" D. T# _7 T9 \6 X' Lset-plot-y-range 0.0 ymax
( E1 n U' p' }- eend& ]2 V' W o- |" A
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to setup-plot3
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/ w3 S% {2 j4 h! M5 | G, Tset-current-plot "Trends-of-credibility"
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set-plot-x-range 0 xmax
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- c) R1 w6 H% `! I Z2 A. Vset-plot-y-range 0.0 ymax
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4 J) D/ I0 D, y/ X' C/ H
to do-plots
8 H1 B7 j g6 \. z: Q4 F, `: \3 gset-current-plot "Trends-of-Local-reputation"" f" W! j. A- m/ y
set-current-plot-pen "Honest service"
3 x/ d) h8 }7 m/ p0 y Hend; Y- K5 L! w4 h3 B; C4 x
2 e3 U* ?, b4 z$ |7 n[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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