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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
" g" z9 Y }) D8 Y8 Qglobals[) \9 t6 G. D8 v/ {8 p* B
xmax/ [: h. M) K) s+ J) E% o: B4 c; a
ymax2 w- E0 J( t, v4 y: g
global-reputation-list- [2 K0 O1 F! N# h& b+ ?
8 [0 E7 r$ S1 g" F$ p
;;每一个turtle的全局声誉都存在此LIST中2 P7 X3 M3 I/ [
credibility-list3 i2 a) T) {, |) \2 t1 Q1 @
;;每一个turtle的评价可信度( {/ [$ H9 g" X5 Q4 C
honest-service
/ @' V( a1 `) E2 b3 `. w3 cunhonest-service
1 f8 g f8 N2 }( h0 Moscillation D2 o. f2 |1 m/ o( O6 k0 w
rand-dynamic
- Q6 [- `! l: i$ L# k8 K& }]1 ~! H" s( B7 |
- s( n; ^* x8 g, m1 c1 P# z
turtles-own[3 d( k. P6 t* T, U$ F' Z$ s
trade-record-all
+ d0 g5 I* `$ n2 l: L2 _;;a list of lists,由trade-record-one组成3 v; P9 F, ]/ [( t
trade-record-one
2 w) V- D1 R! v* ^* p9 ?& ] ?( ~;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
* H/ T7 C) O6 O$ [! E3 M. u
# Q/ |# I9 x' y- D! s- h: [# L, O4 Z;;[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 |5 f1 A4 G5 q' z- v/ T1 ~. r, T
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]5 ~* u$ N( T1 `. e
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list3 I6 T6 Q2 L' e: S7 L9 {
neighbor-total& m* H8 @+ C. @* [7 z- J; ]6 }
;;记录该turtle的邻居节点的数目
2 p5 \! T* ?( U- Q) B5 Z1 d, `trade-time% ?. I1 R) _# [$ S: ~( I, U" L
;;当前发生交易的turtle的交易时间# i/ m) {5 g: f/ J% C4 s8 d0 \' X, [
appraise-give- l9 y# B! u, E7 C' \3 u
;;当前发生交易时给出的评价- C' s$ y2 ?0 C) m5 Z
appraise-receive+ W& ?: }" }8 e6 F# |. w* S
;;当前发生交易时收到的评价
, H( a' ^1 H6 a' m( ]; p) dappraise-time
' z3 l! E7 S$ \) k/ N, R;;当前发生交易时的评价时间
9 ?& I& W1 @6 }0 L% s" h: P/ Q6 Jlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
* k X. Z2 |- B. utrade-times-total
! k7 o, x' \" m( z: p$ {/ ?, H+ Q: y;;与当前turtle的交易总次数
+ [7 [3 v, ]3 x) p+ w# ptrade-money-total
8 u' Q8 j7 t" `6 b: ~3 q- ?;;与当前turtle的交易总金额
4 G7 b# b- g# z( h" @$ l3 r7 n. \local-reputation/ m* W/ f) s+ F- r/ Q
global-reputation
3 F- V' W- C" O- _' s3 {1 h Acredibility0 Y$ O' R o$ R% d9 T* q
;;评价可信度,每次交易后都需要更新
- c3 A! a9 P l' Wcredibility-all; A0 p$ U) r) p8 @9 ]" I
;;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
# u( Z; V5 G! o ]6 z2 \! W' m# y% e8 Q
;;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
* v3 M( H+ ]; a/ [5 Wcredibility-one
4 a" ~% N* y5 W3 s( Y& t;;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! m: @& a: ]$ D
global-proportion
" e/ C: h1 d0 ^% b/ j: zcustomer) I6 e, X( O' v: K. d8 n
customer-no7 I3 V, D. x3 X x. M
trust-ok
4 o1 j* {% b7 Rtrade-record-one-len;;trade-record-one的长度
1 k; C S7 }0 S& r! W" L]3 O6 J2 |: c+ |" r o9 |2 q
! _" J" @; H4 t& c;;setup procedure) E- v* V1 E0 g5 ?9 Z2 Q
; W& B0 a, S7 q7 {to setup
: I7 [2 F7 O; D# e- V0 u
2 K/ w2 B3 ]2 s" ~" V, Sca
2 Q* a" l9 N1 I$ u* d9 F, D6 o% c5 X4 b V
initialize-settings
9 ?+ ^! l" N/ m+ C$ Q# C. C$ L3 R5 n) t* w, j
crt people [setup-turtles]6 b) I, \: j2 h
. L9 c2 W* D5 }) e0 \. u j
reset-timer9 c7 p" U- X* j3 w
* L" V6 ?: A" d, V q) Vpoll-class. p3 w2 w1 t+ z9 T$ n
5 P( Q0 v# H; d' @
setup-plots1 v& [/ w! X6 h" L# X. {6 T
% c/ w' P; G3 F- l
do-plots/ \" T4 a( a) [! h) v6 ]8 y
end
( a0 P3 c+ t" [! _; E \( _6 a
& ?* r$ d, d/ dto initialize-settings
1 K9 Q4 u1 Y1 I) c% p: x/ R
+ l& V2 `9 q/ I/ }7 |# tset global-reputation-list []& K0 p4 b1 R6 I4 z# z! _8 d2 S
" ]2 V6 V& \4 r+ B( _' M
set credibility-list n-values people [0.5]
+ I" e& @6 A/ ]) Q# l4 x6 M
4 i$ `: `+ x' l* y9 Y7 lset honest-service 0
8 m% w" v$ @3 O# d3 \% q8 A5 s/ ]# S. K- r- n. o
set unhonest-service 0/ u3 s0 O+ e! k
" ]/ S- x. M; S; cset oscillation 0+ C q/ d" x4 Y3 ?
! o( u' \; X* V9 ^+ g- T
set rand-dynamic 0
2 _) G7 S, f1 send3 J; H5 s6 Z+ g# H3 c* {1 N
6 s1 z: N& d! ]) b z8 i
to setup-turtles
3 J2 d2 w1 Z0 s3 Z: r9 q9 cset shape "person"
/ x6 D' J6 V( G Y) Dsetxy random-xcor random-ycor
7 Q# ]% X' g+ y5 w( \- qset trade-record-one []* @6 y# |! y- P; f% X' M
5 M4 E: e' O: ? [" K/ Y( L7 gset trade-record-all n-values people [(list (? + 1) 0 0)]
- t' E. D3 J/ p% y/ ^$ G$ c( S; r" \2 }
set trade-record-current []) R# r2 l. p1 [0 b8 z! b$ X. }' A) u
set credibility-receive []9 z4 I" ^4 p# f$ s, Z2 G
set local-reputation 0.5
% Q4 v& L: K1 b- E z' ^3 Fset neighbor-total 0
# A+ d$ x8 D/ y5 l6 L( Hset trade-times-total 09 h/ N W+ F3 \: S3 }. b8 |- }2 p
set trade-money-total 00 F- [ Y; z$ Z, I! a( i( o6 n5 k
set customer nobody5 t1 d6 |+ C+ |) t
set credibility-all n-values people [creat-credibility]
! d# N8 P4 R: R7 T3 o" {6 jset credibility n-values people [-1]/ e3 t' R5 o) [( A9 m+ U
get-color9 t. h* g1 G' Z5 V
7 f5 {% K2 |6 I' J0 m7 f9 B" Iend
1 E% q, ^& ]. q# |# j3 l
& ]& |: \: n" { G- h3 Nto-report creat-credibility
1 F" P2 H+ N0 \5 Mreport n-values people [0.5]
, Z% H+ p* `$ Send
9 k5 R3 S I, S7 m. u8 x; {% v( c
to setup-plots! H1 f. v. q+ k( M+ F1 \" Z7 {" ~
$ I. k5 c" o; b6 ^1 Z; Cset xmax 30& l! y8 m7 g" d5 ~/ o: s! E
# j2 a# A) R a* T7 A
set ymax 1.05 c" H6 u3 M1 [
, B- c: L# b6 i/ x# Y5 l' ]2 G t
clear-all-plots" n: O2 j, b( h4 M
$ w! b; ?7 g0 d" q# \ J7 a! i0 osetup-plot19 I/ G* y* Z* n$ b
' O% D$ E% a& p4 L/ L# Jsetup-plot2
1 R9 V" d- B& u: _* }& K W
) N- r; e1 K% Q% x( Asetup-plot3- R* ~% @0 i1 |/ k5 k! b- c
end2 T$ b6 K0 o+ p( f9 `( l% ]' ?, d6 }
7 E5 R; d- F0 ]0 r$ w;;run time procedures
9 @, U& o; k S! [8 h: | a! X$ ]7 ~6 w2 C; H# V
to go/ ~4 S4 n% p$ |' J) a( w
9 U5 [; x: E6 I, Mask turtles [do-business]
b2 g7 T: n$ P f8 e- uend
& c) ?; H% O4 m4 g& k) F0 A) S. t
& S: m" j3 ?4 x! o. d) @to do-business
8 s# X1 S3 Z3 ^2 s* S8 l: w
- R2 }. x6 N; B1 j
: [, f# M3 a( p1 q8 nrt random 360
1 O% K2 N2 F4 n5 K- P& y( T# p/ }( y8 l1 n. B
fd 1& f! R, z5 b6 v4 i$ a
" C) ]% I% ]9 P. w3 tifelse(other turtles-here != nobody)[8 H% z' I$ N9 j" @6 u% F& |8 m" T5 g
" u7 b8 Q/ i) E
set customer one-of other turtles-here, U0 Z9 L8 k; V
" |/ u, j: B* Q2 I;; set [customer] of customer myself, v6 v& s$ s$ |, F
! e3 m( H: V8 Q4 Bset [trade-record-one] of self item (([who] of customer) - 1)
5 x) i ^/ n! C4 l3 H[trade-record-all]of self
6 P; L* O/ r5 D% r# k;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
. N( }3 H7 k5 E: l9 J# q, S7 u$ U8 V- N( X. [3 i" e, ~6 K
set [trade-record-one] of customer item (([who] of self) - 1)' W6 ]; F% X! R& \# n8 x# h, z2 R& L
[trade-record-all]of customer
% E& N1 _6 S# F$ K! @' o) f0 V- s! o
set [trade-record-one-len] of self length [trade-record-one] of self
" y, T q* |2 f; k4 l+ F3 e! j0 B0 ~ `8 u& p; v! m6 h
set trade-record-current( list (timer) (random money-upper-limit))4 |% O9 d8 n4 l6 J, O! \/ j
( g1 a' j$ y' |) G
ask self [do-trust], y: ~9 V; K/ C4 Y1 d# F
;;先求i对j的信任度
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if ([trust-ok] of self)3 \4 W7 U5 B* s
;;根据i对j的信任度来决定是否与j进行交易[8 r) v# f9 R4 f5 \
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
( z! y: T) i4 g$ [* y O
% A* h5 y( K2 Q* ~) N[3 o( ?0 N' \$ s: g; j6 o- O* `
. n+ O( l9 E% `do-trade
! _- Y! I/ r& V7 C6 W, W& I$ T
& y y3 x) w7 k ^+ ~, G. uupdate-credibility-ijl
7 i+ Y2 v z! r# m6 A/ H+ ^2 f
update-credibility-list9 J5 n3 c8 a$ a
0 D$ z% E4 \5 T1 [3 e7 X+ y! ?6 J9 x& s+ g' K2 a9 ^
update-global-reputation-list
. n9 `* G' e/ b8 t0 D) l8 `- s
1 i4 A/ Q7 l0 I" \+ C/ qpoll-class
' d+ Q/ o& d- F$ R, a1 I2 L& ]
6 q2 a4 s0 M: A* m1 M( Fget-color
0 u5 C% T1 \/ r9 J1 o0 X% Y- c5 Y5 O3 s- k0 e0 V$ ?5 V$ ?
]]
, y5 ]) }- R I
% m1 E/ c: P2 h# d, L( I;;如果所得的信任度满足条件,则进行交易6 ]5 {3 P0 X7 Q- x0 {$ m
/ @5 {- K5 ^& P x% C$ ~[) Y! R ?3 W2 b4 T
/ o! q% z3 a+ l* c; b2 C: ^: Q) A! L
rt random 360
$ j) F. ?- Q9 F& ?
; p, ]9 b+ F% G1 M+ Mfd 1& q9 i( n+ _8 W! Q* n3 ~( e
: h3 O: }% j' }0 _1 K2 [% D7 o
]
" i/ T. C/ _2 E" b# Y- e" \
9 `$ A- r; N- y/ U* C$ `5 }end
( m0 \& M+ H6 ?+ Z- @# V" e; c$ h" z
to do-trust % I- {8 K+ z5 M& w. q6 p
set trust-ok False
+ i. G" T4 V8 w% ] e& V- J5 S
/ `7 m5 j5 I7 O) `8 m3 \/ r
$ V: C4 U3 L( O& Wlet max-trade-times 0
7 r6 z9 C4 h$ ^0 F4 T& mforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
, u, B4 g) T" i# t4 M Xlet max-trade-money 0
4 e* ]8 r- o$ o6 o M" @foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
6 F' `, ^: a0 \( O1 N# Ilet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money)); \/ j. F2 l4 g w: D/ @- q8 s( Q9 a
' T2 {$ T6 T7 y! R$ D
5 @# i0 G" L& W$ oget-global-proportion$ r4 K1 ^+ k- M y
let trust-value
& Q& I7 }& y" y# F$ Slocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
0 p, p, V# v/ c# Yif(trust-value > trade-trust-value)
2 q9 C0 Y' ]$ o) ~4 @0 t[set trust-ok true]. q/ c" P; ~4 b, `* }0 J
end3 c& q1 R/ F" M! z
5 \+ Z0 v* q* {to get-global-proportion
' m3 K! V- u6 n) T" g* d9 f7 @ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)& T' Z% E6 T& K7 b
[set global-proportion 0]
; f0 M0 G4 ^* Y7 G7 K6 s[let i 0. z) m7 o& B( m- n5 {# V) Y3 u
let sum-money 06 k: ?3 S& x! _ W5 p5 q$ i
while[ i < people]+ Z6 D& q. D: V# z3 a) Q; x
[
( z- r5 U" X, d* Jif( length (item i5 U+ h0 O7 S- M, i* o
[trade-record-all] of customer) > 3 )
- E' Z% r3 \/ X[1 n' Z& b+ J# j+ t
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))4 w9 I, ]& d- ^2 s! F, |2 M
]6 E( H" Y( M7 e: A: U% n5 Z+ L
]3 k8 c3 s) _0 M0 V
let j 0# Y$ N0 `& l+ g' j: T' C
let note 0+ [7 y3 x3 D. r2 z" e
while[ j < people]6 n/ [* }' D8 O( ?
[. V b& S3 c, @# e1 I4 S- w9 t6 J1 _" @
if( length (item i
" ~# N3 S9 `, G6 z% g6 E6 g[trade-record-all] of customer) > 3 )
) D( i! l% v, f3 W! o! t[
# e6 ~, [) w1 L7 d/ jifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)# p$ M8 X0 }7 b0 p2 S
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]% @2 G8 M3 U( p
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; f: C9 s- B7 P5 @" ^' }
]
! v1 z5 o; V% [! {]
+ {7 N7 |) V$ l8 P$ |# b& V1 k. Gset global-proportion note
$ J0 |8 S; K5 \: u3 Q]' z2 _3 P! |' v% r" H
end
: b# o3 G; ~8 ^5 K. P) `# @7 D
7 l6 p7 {2 M, w; b* w7 U3 m+ ^# tto do-trade, k( T Y! v: z& I7 z, j
;;这个过程实际上是给双方作出评价的过程0 v9 s; m$ ^! `; e4 i& u5 l9 {' h
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价( Y; m. D5 p3 _% e, @
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
: Q: f' F/ n2 }+ v) [( sset trade-record-current lput(timer) trade-record-current& e v. @# o# ], F$ _1 k
;;评价时间; Y" c: O+ E ?$ C K1 z+ B
ask myself [& j- h( l5 n$ e7 ~/ t2 s
update-local-reputation% W C" O+ E8 S0 n2 X' d- }
set trade-record-current lput([local-reputation] of myself) trade-record-current9 X. s4 c; \1 f3 V1 b
]
1 S2 C3 L0 [# E; m) p. P: v5 j( Vset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
0 {( e2 N! s$ u5 D;;将此次交易的记录加入到trade-record-one中% N% `' B9 D2 `+ {4 ?$ u
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)$ v1 ]! h9 c" x+ {
let note (item 2 trade-record-current )
* v9 i9 B r$ y3 t0 N. }% o! Bset trade-record-current
1 K% N& a6 a) A. |, w1 @$ b(replace-item 2 trade-record-current (item 3 trade-record-current)). B. ~- Y) e/ T: e" L" c
set trade-record-current
$ j5 N0 L9 S6 Q1 W5 u(replace-item 3 trade-record-current note)
0 O& [) y) [: i; [# b+ d( W% p' V% c+ U" ~
9 W5 Q$ J$ p8 U" j9 w1 sask customer [
3 {; W: c T2 Yupdate-local-reputation
/ D0 D6 @$ r$ { _3 dset trade-record-current
6 n# P% h/ a7 C7 O" b0 z(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
% G$ C5 }% s3 R; { a- E- C]
0 W+ M- ^: _0 R+ k4 j( g+ k) M9 \3 h! E5 I& D( J+ E
- Z. q# K) ^& b3 lset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer0 ]# G+ |& t: g. z1 A9 O) f
) ]/ }; z6 R$ Q# i6 }set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
( C$ x3 s4 ~: q8 \' D0 G;;将此次交易的记录加入到customer的trade-record-all中) b: P% x3 B; C/ {' Z2 ^9 c7 o
end
9 K8 }5 Q1 n& s! Q3 N1 C
& J3 T* i' y0 b3 X, z/ [ @to update-local-reputation
6 L& N8 F* t( R2 y+ [1 R+ eset [trade-record-one-len] of myself length [trade-record-one] of myself5 n) F% i T% L- Y' {
) R$ c5 l$ e# m. F1 o5 k/ s
, |3 \4 F) g: t$ p3 g0 `2 I0 |1 R;;if [trade-record-one-len] of myself > 3 & K" Y; b* _' }' I
update-neighbor-total* L4 {/ y9 q4 A! i# ~
;;更新邻居节点的数目,在此进行
: m1 p0 E1 q; [, r9 llet i 3
* h0 G3 t/ m0 [+ xlet sum-time 0' S) e2 C: I7 G0 C# Z% m, Q/ R
while[i < [trade-record-one-len] of myself]. P1 e# k, y" L! s
[* \8 _$ }" s: `" O/ T4 q1 U
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
* o6 D; W5 G, H5 Eset i) f/ h5 x$ d* s$ u
( i + 1)
2 K* j+ x6 N7 Q$ Z) q7 M]6 B6 ]. j7 k7 N4 k+ k, @
let j 38 F: e- g3 Z- S
let sum-money 02 r5 i; u7 o& `% D% p
while[j < [trade-record-one-len] of myself]
/ u+ W' A7 E6 ~% v4 X# w9 b5 S( t9 y[
+ k) n* Z( d- ]3 G* m, Hset 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 |: d0 }% W6 t# v. s3 }, D, O1 Cset j
+ f- k' a) A* }/ B, M7 d( j + 1)
% }+ D# s2 ^5 z, v% i]
# \* ? d- ?- X/ hlet k 3
- {. _! S; N J8 Qlet power 0
# O" q. j/ q" Jlet local 03 a0 k6 Y/ ?4 ~& f: C2 s3 r7 M3 c
while [k <[trade-record-one-len] of myself]
3 c% R4 d: Q: n' }( Y: V[
; x8 W$ s7 I0 ?& B6 D& P# Yset 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)
( B% j% e+ k9 R6 _; I; S3 k' Sset k (k + 1)# f3 x$ A( i- a6 ]
]
, {9 t' Q: \) u5 t9 G: Iset [local-reputation] of myself (local)8 c! N5 N: B8 F! W( |% R
end Q+ U) X; F. [% y6 I5 K
1 s. x( @1 V4 x, ? oto update-neighbor-total
- b- ]& Q8 t# r. V i- g" c) l* n2 z1 ]# a2 h
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
2 Y( ?/ }6 n' Z j( r) P t) y4 B* i8 x
& ?& X. S" I* }end% Q6 X$ S3 i& n$ C; B
d8 U6 x: f# b+ x% a
to update-credibility-ijl ! C5 G% f3 H( g7 m1 E. A1 [, e9 Z5 w
' n% J: k" x7 _4 r$ W/ O;;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。5 D, O: A5 X! R" T. Q1 u9 M4 a ^
let l 0" }% D2 S! D0 W! O& V& {
while[ l < people ]0 z8 W# {7 u. u4 e
;;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
6 t6 z, {# D0 H' h[! t/ C, r1 V, W: m( X
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)& e/ F, z' q# t6 ^) O) W2 @: Z8 \+ ^
if (trade-record-one-j-l-len > 3)
9 N( a9 N/ g% I, S; w* h[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% M9 V( i. _/ f
let i 3
. e$ I) C. U( @. k) Y0 q/ s4 Nlet sum-time 0
1 w' S" F- |0 x" i' e* r; s7 fwhile[i < trade-record-one-len]
" ^) B# B3 b5 { Q7 r8 B[5 k, L( ~7 R8 o d; C
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
: ~$ W7 a9 I$ U3 p$ q$ E* Aset i
2 M$ @. ~. v. c6 V& Q( i + 1)1 Q c q% ?! N/ v+ z9 B
]
) X6 d! h1 a6 V1 ]% {7 qlet credibility-i-j-l 0
/ Z. E2 R! M/ _# W9 ]% B;;i评价(j对jl的评价)
" g! R& P( H6 C1 T* A; blet j 3
" ?' P8 a* F2 d; ~let k 4' D0 `$ ?8 w( z' Q M$ U/ i
while[j < trade-record-one-len]
; x$ x: n% k5 ]% s) L" F% L[
) Y4 l" i- A/ X. kwhile [((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. \0 N# N5 k) P) x
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)8 s3 }+ A' [) I% K# R5 H
set j$ Z+ S9 a5 g1 C6 N5 w! i# w& A; R8 I7 V
( j + 1)
7 M+ Z! B! ?" _% \9 @]* f3 `9 N5 F8 E+ N* }- E; b! `
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 ))# Z" F* j+ M# j0 Y: E
8 Y9 T/ w2 d; {6 v6 a
B$ C' W/ A. i7 B4 v7 d) Z1 ]' g" O$ }let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
1 i* N& I+ b8 _; m& p;;及时更新i对l的评价质量的评价5 |2 d# d$ w- d
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]: Z1 x F# w! Q3 G* h( X4 @# E
set l (l + 1)$ J& \) Q1 |* F8 U( p5 g
]* d( i, O# [/ i
end; D; L! T8 A% r8 e! g
]0 G# A/ o- k, { gto update-credibility-list: f/ o- z ?% i3 k8 c4 _( G# J- P
let i 0# s9 Q% ^- u& h2 u! L. L$ V# u
while[i < people]6 X& O& k1 I; v* Y1 N S6 [+ d1 F. i( v
[
5 N* `# d) a2 `6 y. H. mlet j 0% `- l& w, n, L& k0 I$ o1 T
let note 0
. s# R# u& [5 `" ~: G: Nlet k 0
. ]2 u7 n) B3 n; A ]6 C, ], u;;计作出过评价的邻居节点的数目
% l9 C' i [# L& j( z% \, iwhile[j < people]
$ M2 B% ?/ M4 f1 I# f! i[2 Y: ~ ~" A" O# Z
if (item j( [credibility] of turtle (i + 1)) != -1)+ t- G* J8 f! f; p" L2 I& q: i5 k
;;判断是否给本turtle的评价质量做出过评价的节点
: D" B9 O O/ ~[set note (note + item j ([credibility]of turtle (i + 1)))* K; J' ^. p$ a" X
;;*(exp (-(people - 2)))/(people - 2))], \: i& e g* x- x
set k (k + 1)
6 d# d/ F" D/ W8 O]$ _! h1 ]: A* s& X" V4 F
set j (j + 1)
$ m. t* V0 j5 v# @]
. m% \2 _8 @. Iset note (note *(exp (- (1 / k)))/ k)
2 m/ x; c4 c- |9 w' N5 U; Mset credibility-list (replace-item i credibility-list note)
0 Z8 R: T1 [- n' |6 g0 U4 h; Mset i (i + 1)
$ k# I8 ?$ G$ {; P1 u- C, @]
0 p6 u1 q2 e- H* y0 Y/ d$ [: Gend! l A. W1 [+ P* c, n: v
& P: r- o) w4 P6 }, ]* }/ S( k
to update-global-reputation-list) R* m! x, j: B* g* j& s2 j! k
let j 0
% y: C& g# P. Y L- S% m& twhile[j < people]
( V- Z* [ I: z( B, p: K; W[& Z; |% X4 ? s( L+ M+ r* V5 T: D
let new 02 i4 d1 T7 H; z: O* L: c( e
;;暂存新的一个全局声誉
" p: X5 L. |/ _) s8 vlet i 05 n# h% W# m- r% k6 Z6 w
let sum-money 0
* y6 V9 H5 B) C+ ^+ ylet credibility-money 0; W# P7 Z4 U( }3 ^
while [i < people]9 Z/ v! N7 ^) m2 r) y- N' s% K' l
[
& ^% h% A" ~ a& W' ^: I/ ]" M+ Sset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
$ T8 d1 v6 Q8 R9 kset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))# D% _9 b+ L: I- ~! k% `+ H% Y, c$ ?
set i (i + 1)5 o3 l' r" s% Q
]4 L9 e' B" W6 X' O2 ~0 W' c. v
let k 0
: G5 Y) b( x* a! ]: _let new1 0( I. R9 f, ~; E, A! X( P1 Q' `3 z
while [k < people]# P* p& z% F2 O% @
[
" F9 u$ G6 f* c9 iset 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)0 x" i4 z0 w# v- w
set k (k + 1)9 t6 ]) J0 ]9 s. a* `3 [( a
]
) ?; x* _9 J, m+ Sset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 0 B( m! c# M& q6 C* k8 Z0 H. F
set global-reputation-list (replace-item j global-reputation-list new)+ \) V* E9 a! }2 H. n# x. d
set j (j + 1)( B$ t. D2 k$ Q# ?' S! W1 f# x
]
2 t3 y5 r, ?# l" |end
$ D$ S' a3 ?7 }
8 N( ~/ k- c5 [1 I V2 h5 G- z; X
% J9 x5 C5 e$ a% [* M7 K
to get-color0 G) b3 G! ]* f" Q: E$ t+ ?: h
u8 i1 }( @# y. E9 @! X4 T
set color blue
: F' j) X6 J" ~end, g- ^0 O2 p0 u" K
& K) E5 x. b3 z/ ?/ [
to poll-class; A% @$ n( ^9 }* [- v
end0 w. K, [9 r) F" Q/ \
5 }" B3 b# t( Bto setup-plot1
/ K4 b4 j6 } O6 B- X
0 m& C; { s- \: x5 H0 v" Bset-current-plot "Trends-of-Local-reputation"
1 @, ]/ L1 s; Z7 O2 D- @# T
! d( f1 l' {* p" {* }6 sset-plot-x-range 0 xmax
1 E; D! Y: w# c: V5 l- o& ^2 H# _: D
set-plot-y-range 0.0 ymax
+ C% B" G3 _( }/ ]; G3 d( eend' w8 q% [' \! e! L
5 u8 e, y1 P0 h( V) C- uto setup-plot2' r w' T2 H4 O) i0 M v
3 C Q, Z( `6 ]+ G' @0 \
set-current-plot "Trends-of-global-reputation"/ K9 t3 g- R" d
: V1 j5 K+ E5 o3 H
set-plot-x-range 0 xmax
3 F" ?* p9 }& {1 u! O0 X" F( M" f; Y$ L, I& j0 `
set-plot-y-range 0.0 ymax# H: E( G) V" O d1 H
end
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to setup-plot3
: |* `; B4 M. [6 n$ ^ }* H: x9 p4 F
set-current-plot "Trends-of-credibility"
, n- f3 U% T+ ?- V
2 H( j s3 p7 n! n* a8 ]$ W6 Y: c; ^+ gset-plot-x-range 0 xmax5 X/ I' o. u: {4 A8 W# D
/ C& m1 W! a2 }4 m/ q1 N3 pset-plot-y-range 0.0 ymax: O3 h3 c2 ?; c: ]9 h5 `
end
. k6 G0 {7 p: Z* V: y+ I0 V- ~. _3 e7 Q- M& c
to do-plots
) _+ O+ c. Y1 Y1 o" c2 wset-current-plot "Trends-of-Local-reputation"* P7 }! h5 @9 w, ^9 c0 P) s
set-current-plot-pen "Honest service"* D# s- M$ @: w1 z- V- \7 z
end, r$ n5 S0 S9 D# }0 \( O% I+ \
& Z; P' J$ ^% h8 F0 O5 y[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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