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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
6 G% k( {$ B" J q- ~& o' \globals[
: x$ J3 V- v* z% y K# Nxmax
; [7 @- `0 }! v; z. c' Uymax
( F- ?5 H0 r# B7 q2 J2 Hglobal-reputation-list. B& k4 G7 k2 v1 d) X
. ]9 h$ l! T+ [+ A V;;每一个turtle的全局声誉都存在此LIST中! G# a* \* H) Z+ B* T# a3 c" f7 s
credibility-list2 m0 }4 Y, ~5 y/ \* ~2 P
;;每一个turtle的评价可信度
: f4 a) Y b+ [" C' G2 Bhonest-service9 ~4 V! H' I' r& x% J2 v
unhonest-service
$ s9 Q# |- F9 I% Q9 W; E2 Ioscillation+ W' d+ z% K8 Z! V6 d
rand-dynamic
5 t( o w% N0 _0 b; m( F$ N$ M]
" e# u9 s v+ h: a P0 ~( P! O8 _! v# V
turtles-own[' p' x5 W. _/ n7 d3 ?1 @
trade-record-all ~* \" u# o2 x, o% K* U- u
;;a list of lists,由trade-record-one组成
, R" U! P) t& i8 |& z Ztrade-record-one* ?! B% ] D: l1 Z
;;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 m3 [- P8 O
4 U' v; b5 ~2 A" C;;[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 s0 \! Q1 V$ `6 c+ X4 R
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]
: w7 X7 i* ~4 j! Z) M& Q: P+ j, 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list3 p% V% J+ } M1 n" }6 i( u
neighbor-total
3 k# L7 @( P; E/ S# ?2 _8 a% F% A;;记录该turtle的邻居节点的数目. o7 M6 L& @2 y3 Q, N
trade-time: S: i3 o/ Z( l. m( b
;;当前发生交易的turtle的交易时间
4 \3 B3 A" k& h3 d1 w4 wappraise-give
; s$ g% z }# c, x8 Z' p;;当前发生交易时给出的评价
E0 G7 Y7 X% X# a e" v, gappraise-receive
; B- B M- x0 w& g; h8 H;;当前发生交易时收到的评价! r$ s6 C6 T ^5 v" d1 E
appraise-time
, k1 n( S7 ^3 R1 g h" u" E;;当前发生交易时的评价时间
* L8 g( L2 H7 e" x' T5 ilocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
8 q- W' Y9 O: w% utrade-times-total
7 L8 k& n4 m4 N/ [0 S$ t. e;;与当前turtle的交易总次数0 ~; g. a5 l6 U
trade-money-total6 h# |: M, G; f& V
;;与当前turtle的交易总金额, l. I& f! G( ]* X. M
local-reputation
" V% q0 W0 C" r8 K/ c+ ?. m2 ?2 w$ v) mglobal-reputation/ y4 k) ~5 Z. [ Q# ^
credibility
1 B3 u" d# n. U; G4 n. n/ l;;评价可信度,每次交易后都需要更新$ I' A6 j. l w' H, f a) r5 j) A
credibility-all. k( Z% I* Z* d' x5 N! g% r
;;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+ e' b6 X( @; f6 e( [$ X3 j& P
! h9 J: P" R) Y7 ^7 D# n8 m1 K
;;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
" Y. ^+ B7 G. `4 B' E9 o7 [9 Icredibility-one3 F: O9 y8 [ C+ V
;;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
2 I5 A- E( R$ B5 j6 L0 O+ o( Dglobal-proportion
: ^" \$ ~0 }8 P8 |9 P) D% K# ?customer, {$ I, J# p0 D* Q2 g2 |. L! ?: l
customer-no
: m4 `4 H2 n6 ]1 n3 x5 rtrust-ok. R* q# e, O9 y8 k D6 w3 k8 Y
trade-record-one-len;;trade-record-one的长度
! h% w/ m5 d- S: L) d]9 u% q2 t( {, p1 t5 h. m1 q
1 x/ y; D9 a: C! k1 d
;;setup procedure6 w( G- V, j C; }4 L
3 H, c0 b6 n7 A5 G+ uto setup7 b' m% n. P, W& B8 S& B L' f0 l
0 z, E/ H% l0 n
ca# J2 @6 _3 ?* h4 B9 w( g0 r+ N
& C3 b) r0 R9 l. e
initialize-settings6 {3 `1 o; P; j/ _
7 g3 R3 D" s7 scrt people [setup-turtles]: M5 h! s/ ^! N# r4 e
- m. G7 @* N) d3 s* b" yreset-timer
& i) L) E$ }! o$ }0 X9 n. |6 v6 z9 {/ u
poll-class+ F* p7 o8 F7 D! p
0 g/ d `8 ~7 k4 O" fsetup-plots _4 M- H: g' }+ k) k7 N! Z- k
1 b0 D* v0 b w7 p% @
do-plots# }: R( ~, S; j% M
end
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to initialize-settings$ S' B" {, p( Y5 ^9 J' `3 f! D
) Y ?1 F5 z1 M1 h1 i% W
set global-reputation-list []
0 t! }% t# `3 H- B; J5 S+ a8 d
set credibility-list n-values people [0.5]8 p; _$ F% b4 _5 p. K0 s0 F
& ~5 k9 ^+ W; ^3 jset honest-service 0$ B/ x2 \, M2 z( U
0 z- l. f! _- z, j# b% U
set unhonest-service 0- e- V' Q: w* J$ f" J* ~
: Z$ ~8 W4 p4 m0 x; z; Qset oscillation 0
6 B( ] _$ ^' u' I0 C; {2 H* e( t, R1 L6 O0 |( _# ]0 s+ R
set rand-dynamic 0
* I: q4 M* n9 p7 N: \& Y" x7 H7 Qend
* ~* l/ P4 C8 H! E7 r, J: n% d3 b1 @1 s; F7 F
to setup-turtles + K# i4 ]! t$ s; J
set shape "person"1 A' u' n) ~0 j0 G! X" J& L
setxy random-xcor random-ycor- P5 V5 |% u; Q2 u7 h" k* M
set trade-record-one []1 o6 k$ G" g2 p
- M! Z8 }: n! d. t
set trade-record-all n-values people [(list (? + 1) 0 0)]
% t' E% h2 ?9 ?8 w' m- q- O. C
' z. w2 ]: @% [5 s. v+ R8 h/ wset trade-record-current []
2 {1 m/ z- M2 W Xset credibility-receive []' L7 ~- Q. ~* I5 v# I. y! l2 T
set local-reputation 0.5
# ]; h! ~. C8 V# D& B8 g! j1 xset neighbor-total 0/ ~- z* p( {7 Y7 q
set trade-times-total 0
) T( q' s# S3 w5 k0 g' jset trade-money-total 0# s4 k, l/ p w, s5 s7 x
set customer nobody2 W6 }* x9 |9 S1 g5 V
set credibility-all n-values people [creat-credibility]
- y0 G' ~$ r" q Z: S5 z8 Oset credibility n-values people [-1]* H8 _7 d1 A! a2 I2 A
get-color& \& o% @, k* l$ G. m
) H, \. [ d$ D$ c4 ^; Zend% X1 P2 Z: z8 \0 }2 }! v: m
$ m2 s3 r, A6 i- C9 Q
to-report creat-credibility6 P) `0 x% x7 c, y# T Y
report n-values people [0.5]$ R: \. K n8 @4 B3 p6 {
end: @& o. n$ o8 e3 n" c- @
% M$ ?$ r8 a! Y1 p; [ c/ f- Eto setup-plots# P; Y8 ?6 F& ]; V; g, C
( x+ C8 E8 M/ O& |( p+ S
set xmax 30
9 W2 D, k: u. N! Q& r& ]1 A% u7 y% T' n. z1 V. q
set ymax 1.0- ?' s2 F: _* }% I6 J' F. R! ]0 a
" W& E- \ A: O0 S5 T: t N8 d
clear-all-plots; O- b( x' X: A0 U; \9 b; x0 _" R
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setup-plot1! U2 n1 W C/ A* p% W
$ z- d/ q0 [- A+ G* Tsetup-plot2* b& M9 i% R; U: p! h
! S. D/ p5 H* n7 _4 e" K: \
setup-plot3" C7 v$ L6 R8 v/ N5 U3 w* i- r* C! e9 P
end
" R3 W! {8 L5 F* E
" k8 {9 U3 T0 W9 a;;run time procedures' _, J. E! M! X3 m" O; G3 i
A9 G+ a- C1 r5 ito go- A4 U) u) ?! s& S: O
* R$ k6 F8 r6 u7 j
ask turtles [do-business]
& i H. v$ z: O1 Rend8 Y) ?1 F, r8 C- N' l5 a* e
' k( F% Y( s) Qto do-business
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3 k/ U- y) T9 m# [# l' m( t0 yrt random 360
) t' l, d [8 a; Q8 z! e4 ]% o; v8 Y" O1 j$ W6 C
fd 1
/ L* K3 b; h7 M% p& V3 U' j( a/ M2 U/ U7 Y- C% ^# D. |# m0 y
ifelse(other turtles-here != nobody)[, ~; D& e! N0 e6 M
/ Y% A- V/ d: E v0 O0 }set customer one-of other turtles-here
# k7 O/ i' i1 v# ^ n8 ^3 G6 X" Y4 Y) d
;; set [customer] of customer myself# U6 i. z. l; i
9 L& P8 J2 K, m4 i% xset [trade-record-one] of self item (([who] of customer) - 1)! f, G: w& |% m
[trade-record-all]of self
% _. X3 `7 m; G& D4 K;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self) i, v6 L1 U1 b; h# w; } X5 H. F
* Z5 y6 u3 N, q$ ]& j6 E
set [trade-record-one] of customer item (([who] of self) - 1)
! G4 R: Q5 l3 k, X+ m- z r[trade-record-all]of customer
7 }( r. u; v7 s; R, ~
: J0 w0 q$ e1 o) j" y" V8 A N% pset [trade-record-one-len] of self length [trade-record-one] of self
4 H2 D' ~* m% a+ v
8 A/ d1 X1 b+ z0 R! X M1 k6 Oset trade-record-current( list (timer) (random money-upper-limit))
+ B: }, C$ \/ j( n# T6 i4 m9 h1 s' h
8 S9 }; U" u( p3 K- G! g! |ask self [do-trust]
. w( }; Q- l8 R;;先求i对j的信任度) X7 p8 z( A: s0 w7 q
' f9 G: v) S5 f4 Z5 Z7 {1 q/ E5 | Q, nif ([trust-ok] of self)
/ f# ^( b) {: r! ~9 A;;根据i对j的信任度来决定是否与j进行交易[
/ N, l- B, G/ a# \ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself& i) ^% ~3 K, a& x; q
5 i/ ~: k" f- b% c
[
+ t% g: U! ~5 v
. m3 Z7 o2 U. C8 u: m1 n! Ydo-trade
; y. l* b1 e& l, e4 X/ n# [1 z; a" F. ?+ L7 T( v6 p5 m$ J
update-credibility-ijl
R2 L+ J4 [) {) S" h# z8 h( j7 C( P p8 n+ A+ e
update-credibility-list
1 F& _0 I+ c" |- W6 w% C
* y1 [) A/ ]0 }) v* ] ~% {1 z) ~( K1 f6 i, Y0 K
update-global-reputation-list7 `% y0 W* M% q! R- ^
8 o8 @* _# {' f8 U- y1 }) m" n
poll-class! y- V' W- q8 h) C( `5 ~
* \* A7 r2 S g; }# Y9 j
get-color6 S$ W! ?% R5 Z3 Q
% O& d$ C* C! k$ v9 v7 j# o2 _+ k7 S]]
$ K4 o& r& F8 Y/ u1 | }+ u& e
, D* n/ y! Y* p: l5 D* ];;如果所得的信任度满足条件,则进行交易
) D5 y8 S6 d: P$ X5 k: q5 a/ [2 ?, A0 }3 m3 v8 O& f% I* p
[) @' }* G; a& ^9 j& q
0 ?/ _9 `, K) Q$ ]# K" m {rt random 360
$ a6 T( U, V8 \& h1 F
8 L4 A9 T0 l, E) }fd 1
8 ^7 H8 @* `! D6 k( } e# I; T# I0 A* t
]
1 j. Q: ~- x4 s. O+ v9 `$ e
3 l! {0 {+ g3 N/ k4 V2 ^2 Send
9 f: B( N9 T. b3 ~! w5 `. J1 A8 w6 I; P+ l
to do-trust : \8 }6 m9 M% g
set trust-ok False
+ ^% l" k' f0 f8 |% l- n: u
+ G; M2 g5 F/ E" A' J, m6 o) y7 o$ e. u) _
let max-trade-times 0
, \, _6 `0 I& Gforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
6 X* { G6 H2 t4 g* S. I. wlet max-trade-money 0
6 k3 B, R! G* ]; |4 {& H+ N6 [foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]7 D A$ Z8 ~7 Q) S4 m
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))0 l: g6 c' p5 d# e
( i* N; }$ |) |! F9 i& Q& }% Z: {( S9 Z5 t* q5 S5 Z
get-global-proportion* j/ K. f1 `% N1 X# y
let trust-value
. J% e5 e. `* }0 `8 d1 b4 Jlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
) B2 I, j: h) Y" x3 {( wif(trust-value > trade-trust-value)
. J; r1 K/ H; f% N. ^[set trust-ok true]
, r! w" [' @+ r. ~! @1 {end% ^" e2 j* o. C
U3 {5 U% e. Z- Q1 ^: `4 g8 {
to get-global-proportion
" K" N0 s, ]6 @9 n, K' F8 N8 Jifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
; I% V* ~# Q% @, P[set global-proportion 0]
+ @. T/ h, H) y[let i 0
4 O5 H0 g% m: p9 plet sum-money 0
$ w6 Q: n/ `2 _/ c6 q- K; Swhile[ i < people]( W! q& D1 m- H& A5 f( O
[
( ]: i) C3 P9 j$ Y0 Qif( length (item i
! J7 V. ], o* n0 |[trade-record-all] of customer) > 3 )' U" H" Y% G, f
[0 X3 y2 k$ o1 H6 d! _. h
set sum-money (sum-money + item 2(item i [trade-record-all] of myself)). R9 j3 ^/ d/ w+ u: r' g
]6 ~% w |, z5 h& ~' m7 i2 c
]
; p" l- T8 @) }! vlet j 0/ B4 ]. a3 M" E% M7 K
let note 07 X) L: l* C- k9 {# f: @
while[ j < people], @, N& y' j, r$ E
[; A. W9 y5 m5 j; ?0 A
if( length (item i7 S- r* ]% B4 @1 F
[trade-record-all] of customer) > 3 )/ U* C4 ?4 F7 R6 R
[ z' [- E. l7 G- f" E& v: w" U; U, n
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
* j7 h5 C- b6 O[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]* Y1 V/ }5 H' z
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]+ [% P( X# k/ k W" L4 b7 d; h+ K7 k
]0 R0 `; J+ m0 _1 X+ X$ K
]
" M/ W) D1 V- o2 p' Xset global-proportion note
: I% n6 o; G! t1 Z1 W$ n]$ \! E# ^/ p, E c
end
6 \8 W( I6 k; h& u: Z
* k5 \' }1 Y* Q+ f! I$ J, q- eto do-trade' R3 s6 J7 q8 p5 Y
;;这个过程实际上是给双方作出评价的过程; Z j8 P4 k o/ `$ O, [
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
& h1 a# V# P7 rset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价( n9 N& g- b0 ~# w4 T& M" W
set trade-record-current lput(timer) trade-record-current# ~) S3 o2 x. u, a& A& d6 b0 l& @
;;评价时间. r. { E& u. u& f; \
ask myself [
3 B% W) W4 ?, F% gupdate-local-reputation# U& [7 T3 v3 U5 Z* t* j7 F
set trade-record-current lput([local-reputation] of myself) trade-record-current
- n( l* g3 F$ ?1 t]' h# W+ u5 W/ R
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
2 m& [2 }! z$ ]9 j- @;;将此次交易的记录加入到trade-record-one中" @9 k( w, M6 @2 B0 H" z) K
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
/ Z# ]' Z& Z" P9 y0 G4 [) f& ulet note (item 2 trade-record-current )( _' d8 D% |8 k$ o
set trade-record-current
0 Q1 F. U" K5 B% A(replace-item 2 trade-record-current (item 3 trade-record-current))
/ m! {' L4 ]4 s3 q( W/ e1 Bset trade-record-current3 b8 A6 L C! u2 I* i& L
(replace-item 3 trade-record-current note)- W# T' [6 j5 R Q% Y; C" H
" h/ k% t6 [7 [ i. M0 n8 x2 F. t7 {3 x
ask customer [
, Q7 }3 D* L1 `update-local-reputation- L+ A6 Z' x9 L* g
set trade-record-current# D. b- H1 i) n/ h2 X8 Z+ J" \1 g$ K
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) 5 ~/ L% o% D1 o9 ~, l
]
" A7 j8 Z3 r1 ^
5 }, w7 P* s) }! U
7 s" I4 D6 ]/ W2 f0 m5 F% u( Jset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, w- W! [, W' P" x$ k( O+ K# h9 C
$ A; ]* s: q6 L9 m$ xset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
% M, b, D. C- ];;将此次交易的记录加入到customer的trade-record-all中6 ]2 ]3 x" B$ y( I. R& `3 s
end
7 \2 s+ q; S4 \4 I- E$ o- @. z5 R, `1 P5 f- `" Z
to update-local-reputation
( ^9 R7 H+ {, R% }) i; a. Lset [trade-record-one-len] of myself length [trade-record-one] of myself, j: T6 t6 |% Z. _& g; @5 [
: m; H5 F& j7 S2 J
, g: k4 Y5 ]) N3 R- J9 o0 Z
;;if [trade-record-one-len] of myself > 3
3 v4 y) z. x9 u% vupdate-neighbor-total8 e$ S( ~$ m3 G: e0 Q2 L* Y6 W
;;更新邻居节点的数目,在此进行2 F9 {& u0 q) \
let i 3
+ f8 t9 Z7 ]. T: }% x# Ylet sum-time 0
8 v" `% t2 J: a) a9 d" iwhile[i < [trade-record-one-len] of myself]) l/ P, U* y1 N B' A2 h
[
0 t% d( o- h. pset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )7 f( J0 ]/ P5 b6 @5 f3 }+ R
set i$ w% S: W5 H( I5 X; t
( i + 1)5 G1 ?# e* Y$ U0 |( f. `! j
]
/ K2 h* N6 W5 Q4 @! ]5 V$ mlet j 3
+ S' I. }/ D8 c" k6 d( Qlet sum-money 04 _+ g* h; i% I& C" u
while[j < [trade-record-one-len] of myself]' Y& ^, N2 c4 N0 g0 D1 ?
[
( ?! {6 R2 R4 g3 u0 d1 ?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)
- Z+ k% l2 s6 X2 e# b, h, Kset j. q+ y* H8 s1 x
( j + 1)/ N1 V: V6 f* x' @
]9 z) j" r" r$ s/ d
let k 37 r% ?/ f* m: D6 \! C Q% ~8 V
let power 01 K( j/ f# g/ t/ v0 L! k' Y/ G2 {. b
let local 0
: Z! C V( Q4 U% Y, ^- r7 `while [k <[trade-record-one-len] of myself] l3 t8 F4 F' Y- Z9 R
[
" V" |, ?$ i. }2 [) Q- l, Wset 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)
% I$ l6 x0 D$ u* ^6 D+ qset k (k + 1)/ Z9 \9 o1 I ?
]4 ^( M6 X& [/ C$ ?4 J
set [local-reputation] of myself (local) D& M9 T& J5 M% w( b+ C, e
end5 {; y( L, M5 K1 H& G6 Y" `, F
" ~2 k) @) w! H8 G: t5 `1 Mto update-neighbor-total, }% O0 l" `4 W8 H$ t* Z3 E
$ Z) y9 h7 J0 ]8 | S1 q, Vif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]: f$ N" E6 [8 ]+ I, L- j
8 F% b) D0 R- H; J1 ~4 r; O
6 ^- H, i2 r( ~5 f+ dend# ~6 @1 q4 Q* j4 y
* ]2 I+ O- B( e
to update-credibility-ijl
8 A0 l0 K" ~* u+ a: I5 @) n+ q3 }- R/ f& {0 l# H$ |$ K) V: }
;;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。
4 W% b0 h, G: q" B, y+ E8 j; hlet l 0
1 V! G9 u! |1 a P7 awhile[ l < people ]
2 s8 {- g) D! v; r0 [: h( I;;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# |/ |3 Y% a3 v9 }* Q$ d1 i
[
+ }9 A* u- M6 L0 s% p0 elet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
% o/ [2 b5 f2 z( I9 rif (trade-record-one-j-l-len > 3)
. a( ?- T. \3 @+ U+ E! F7 L[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
r9 G( _* t1 @8 ]( olet i 3 K _) q8 e w& S$ t
let sum-time 0
8 j5 \ }% T" c" nwhile[i < trade-record-one-len]
6 [7 g* K* r% Y[
- z/ {' a# g) }& J! Iset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
% w ^+ C$ l3 F5 Wset i
8 u* h# Y1 }( w% j, L& `1 W; T( i + 1)
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) I) k" V* s! U& m: z1 j" elet credibility-i-j-l 0
5 {* _! u7 {4 p/ P& G;;i评价(j对jl的评价)8 }" w2 F' E: P; I, u) N
let j 3
/ P$ z5 b2 W5 x, C6 hlet k 4# w4 _# ?% n! Y4 | s2 Y# I- {
while[j < trade-record-one-len]
5 L( V! {, n! J; }) V3 |[3 E+ _7 |0 S q1 r9 b% b
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) p6 A; r- X9 K+ V
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)
% |, ~2 I5 J. ^' g- U( Zset j: @2 G/ S5 {' \, `
( j + 1) {. h+ {& E, ^
]
8 o( H. R& G9 g% N; iset [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 )), H, }* h7 l! a
0 ]/ r& _ m5 \# ]/ F3 z
- U7 O5 T0 u( V v/ z" c
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))4 {: G7 [: k- Z* a) p# l$ b
;;及时更新i对l的评价质量的评价3 Q& S2 H+ w$ n! [2 N
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]# C6 n6 X) [0 S+ |
set l (l + 1)
! e+ T9 [, { ^" K" q, c" M* r# W- i]
& `0 f5 r5 ~% y, |end
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8 h7 h& [8 F1 Yto update-credibility-list# M2 T% d- x9 K Y
let i 0* K1 Y; P/ E: _* j
while[i < people]; H, H# s. C' @. t& k' r9 t1 h
[
$ v; g+ ^/ K6 p2 ulet j 08 E+ ^7 t! D! T
let note 0
% ?8 b$ i/ m3 L% X( l ?let k 0 h) r4 p7 A, {5 n3 I
;;计作出过评价的邻居节点的数目, R5 b; O; T+ q
while[j < people]* y% |, z& O. J) O3 x$ @. @/ S) N
[
/ Y! a' @: H( w9 P; ]! fif (item j( [credibility] of turtle (i + 1)) != -1)
8 W/ ^' M8 M& i- ^/ I8 ^;;判断是否给本turtle的评价质量做出过评价的节点
8 D U* ~; p# R+ h" ]( G8 f0 G; \[set note (note + item j ([credibility]of turtle (i + 1)))
. M. J/ ^' }) p/ d$ d: e;;*(exp (-(people - 2)))/(people - 2))]2 D2 F# {, S( v6 H
set k (k + 1)* W' D& j a: e7 D* |$ {* L
]
9 ~: O+ r: M8 k/ c9 ~set j (j + 1)4 \0 D1 [# m% T$ W/ h7 M
]
7 r6 N) F; } N9 x ^7 Jset note (note *(exp (- (1 / k)))/ k)' R5 `2 @/ b7 Q( x; s$ C
set credibility-list (replace-item i credibility-list note)* v; ]& r- ~3 Q
set i (i + 1)2 V- [; h# x! R
]
3 v8 k; A/ t6 }0 Y6 X6 ?$ Tend$ m, G4 F6 B; W, B" z4 k/ f
; m& w4 g! l' X- W6 L
to update-global-reputation-list; r! r7 V; ?2 o/ l
let j 03 L; M" m0 Y3 x8 X* q# w' M0 K
while[j < people]
# g5 c# E) o0 J) h+ |[ x% w5 ^. ?7 T$ a- [
let new 07 Z! p1 f0 F2 a
;;暂存新的一个全局声誉
1 h& p- b E3 {& F* n! rlet i 0
+ t& j$ h- C4 a5 T0 qlet sum-money 0! u. X6 g. W' G9 X: j% R, {, H
let credibility-money 04 H* U/ Y; a: B
while [i < people]
6 [3 W6 [- ?1 V& m[
2 E* ~4 D- {, T* F( x/ \( ?set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
; U/ \0 ~' f$ I3 \3 S0 O% _set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))- m. S; {9 |5 |5 V
set i (i + 1)" H4 l8 a0 ^+ K
]
6 g. N; F: c! x4 n& _let k 02 h" c, M* _% F; c/ g
let new1 02 c& {6 i* d0 Z
while [k < people]
0 J- [4 X$ s6 _7 T[
% ^3 R& M) _) c$ k" x* lset new1 (new1 + (item k credibility-list)* item 2(item k [trade-record-all] of turtle (j + 1))* (item 5 (last (item k [trade-record-all] of turtle(j + 1)))) / credibility-money)
/ I( V1 F, H& n1 p! h9 N, q0 F% Cset k (k + 1)
' W4 [1 @. V" B, M9 V$ O: }]
/ R$ _" M! S6 ^( @1 {6 ]3 Fset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 3 |' d) U$ z- v" I
set global-reputation-list (replace-item j global-reputation-list new)
1 P9 E3 ]- C% b; H& I' o |; iset j (j + 1); B4 F) H5 A+ z0 u0 i
]
9 w8 {5 z0 f, z* d% j% Y' Hend
8 v3 ]+ F+ C3 r- r+ U& t3 F6 j( R* s6 T6 K- ?7 l$ {4 J8 `
: y, g( \) j" @& y: C' o* z( @+ S
& i8 E, q9 b- l+ o U# lto get-color6 M6 x+ z2 i( V
# `$ Q4 T' b6 |set color blue3 M4 j. a8 V4 k! d9 m8 v
end
( g$ N+ w$ R. S, V! j' a
3 h8 R8 U1 m+ E7 h% R* nto poll-class4 U) F6 D3 O- F3 j
end R8 c3 \ K* J9 m) k f
2 |, \2 u: Z N# o( L; n% T: k Kto setup-plot1
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set-current-plot "Trends-of-Local-reputation"1 o* d/ ~7 Z* c* B; D8 q' i- K) M( `
$ {$ d( q( i/ A% m9 Q) E
set-plot-x-range 0 xmax1 Y9 ?0 ^* j8 X- Z) ]
/ l! d( T( `. @( y1 P0 w
set-plot-y-range 0.0 ymax4 D, u7 n! \: t+ ~
end! M$ m5 S @$ H/ T& R) ] ^
3 x/ F F, m' z, m5 ^' k* V: ?to setup-plot2
8 [- a/ W. D+ Q8 y7 Z% h8 v I
' `- C( n1 C/ v' Gset-current-plot "Trends-of-global-reputation"! Y2 S, y& M* e
) X8 l' B* }+ ~9 S8 {set-plot-x-range 0 xmax0 ?( d% B1 u4 _7 X+ k. G/ m; i
3 v$ W) G9 b! @
set-plot-y-range 0.0 ymax
1 [0 k# n( k. T; S3 |end' [0 L& {8 t" e/ p h" v
& Q+ S. d/ C% `
to setup-plot3+ n8 i8 v. ^, a3 q9 Y0 c6 I4 J- Z% l
! h0 ?3 o) @/ |9 V% \, {0 U7 ~
set-current-plot "Trends-of-credibility"
& ]+ t8 B' ?0 k1 W% @
5 N; V1 n( J2 m6 I+ C, O: rset-plot-x-range 0 xmax2 P2 C- S t7 K! G- F
7 {7 t& r# @3 L' g L% xset-plot-y-range 0.0 ymax
1 P: c$ j4 V, w7 Send
- z# }% N# _ Q6 z8 l0 l; j5 [4 A K! g
to do-plots
6 Q7 k- Z: r9 Fset-current-plot "Trends-of-Local-reputation"
& w, P F# @: ~- x: k8 Dset-current-plot-pen "Honest service"
6 d9 u* z; O4 q6 G/ K. h5 `# fend) Q5 d+ Q* c* @+ Y) }, j2 ?2 C
- N1 G/ k7 b6 s[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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