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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# z3 p, h3 p7 i: l: O' h
globals[" w& c" M. q g7 H* f6 M# B8 B
xmax2 D* Q S8 R6 i. Q- g* }4 ^
ymax
6 s/ q# l0 T) j) k% U: L* Pglobal-reputation-list
) ~0 Z- B$ m1 X9 [4 t1 r
% i7 F( q. v/ i; o/ _;;每一个turtle的全局声誉都存在此LIST中
5 M. w+ I# D6 ]) U% }+ Scredibility-list
' B' y! F) z. K5 W6 H;;每一个turtle的评价可信度
5 x2 { `2 D( L& D) ~2 ghonest-service) }( O+ [8 R# \/ N! N
unhonest-service# k5 W' {! F1 ^9 E- F
oscillation9 j1 t$ L' w2 f' B, O1 s
rand-dynamic& b# I" z4 | r+ r8 C- F: {
]
4 x( [. v* G+ D- X; ~* E& E
6 T. ] H6 |% i$ Z; N: pturtles-own[
6 P- N% V+ T9 W( q: j/ _+ n- h' }trade-record-all& l) j2 M& p" I, R3 Q
;;a list of lists,由trade-record-one组成
2 B2 W% j5 }4 H; h3 {) Ptrade-record-one N, L2 i% C9 P# ]/ X
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
8 ?- d' Z' c" ]9 h& @2 W" W
! E, s! N6 Q8 C; I;;[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]]
3 Y6 K1 a0 F6 m1 [, V$ r+ i4 qtrade-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]( q+ M: R' h0 @6 M
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: y# ] s ^7 ?2 j7 B
neighbor-total$ X c3 ]4 {5 M
;;记录该turtle的邻居节点的数目/ {: D0 I& n" _' E$ g" T' ]0 d w
trade-time
- F, _; ^; w/ M! [! y;;当前发生交易的turtle的交易时间: s0 N; ]* i0 d' Z. Y0 z
appraise-give
; \5 m3 S5 e9 E5 L0 {; C;;当前发生交易时给出的评价
7 ]% o& a% G! E9 K) q- N G" bappraise-receive
- X4 i N* n# D: z) y4 o$ `2 @;;当前发生交易时收到的评价7 x2 R( @; m8 R0 X; b
appraise-time
& s4 j4 a* B4 y4 T;;当前发生交易时的评价时间! I R. S* I6 z8 j2 w9 B3 e: p( l
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
. |$ p8 ~8 r# j/ S" J6 ?trade-times-total. M# R0 |- _) p9 ~/ G; T, X
;;与当前turtle的交易总次数
& Y% a( X6 s/ [$ K! ]! Btrade-money-total
: p- r% o7 M+ [: A; ^;;与当前turtle的交易总金额- i \1 f' m0 ?8 k
local-reputation
$ q4 K4 Y: S4 t% d* ~2 eglobal-reputation
* J A1 I, k s% W5 R( s' x) \0 d) ~credibility
2 b) `$ D* F3 @5 e* P;;评价可信度,每次交易后都需要更新 _1 J& E, x1 \1 T) P
credibility-all
+ T" ], f0 {& i9 |8 d, U& k;;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
2 y7 R7 O9 g$ g% Z4 X4 {% n. z0 w! J4 y
* M) E) E* F2 N;;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/ r8 F: p% S# H/ p0 v# J! ]
credibility-one% }7 J3 K- R/ j8 f' l8 p
;;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
- V8 N; ^* X/ t. Tglobal-proportion
( n1 y0 a0 J* G' Y* m+ U8 Y3 zcustomer" j' Q0 ~' x# a) i; E9 {
customer-no
1 I8 [9 n1 a; e# n2 ~2 `trust-ok
+ k6 g/ y) o( }, f4 F$ {trade-record-one-len;;trade-record-one的长度7 L" c2 k1 I/ X5 U
]
$ A8 G% B2 d3 G) l2 w6 Y3 A; @+ I! H, M# t- e# P. `0 U
;;setup procedure
7 ^1 a2 X; G: { |
) Z! U9 H. |1 p1 g8 E0 ~& c: hto setup
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ca
1 y8 c( a, k0 K; _" z0 e# U0 o- j+ ^+ M# A8 _5 _
initialize-settings
$ T7 R; m5 a/ u" [. A
+ c$ o- S! G0 R* }1 }* r, w* Vcrt people [setup-turtles]8 b5 p9 V) I! K- z7 Q# _
$ j" m& \ I( C% Xreset-timer3 j7 H B: B# a; p; u
a: r- v9 M+ j4 A3 w1 O" c7 mpoll-class
& l: I' g0 Y, _$ E: } o4 i0 g! Z; E) l
setup-plots
( ~2 G" O, o9 s6 r& s) F' w) C+ j# d3 Y1 l% u# t5 F
do-plots$ z9 E* W5 Y! Q4 _
end9 {* U. x0 l; E* `. ?( I3 ~& b3 i: K
N: f2 T$ U; S" a% g
to initialize-settings
* ]' v; n9 X/ c. |, P* v. j1 z8 v7 a2 r8 e$ L0 D
set global-reputation-list []
3 x/ }1 E. _1 _8 H
6 c! J: }9 \* A, C) K$ Pset credibility-list n-values people [0.5]* z! O$ e$ X4 |; S" Y7 {
4 N* f1 w, Y( w' G7 F1 g) qset honest-service 0
$ C/ j; K9 s' n/ W# d
5 _2 {' [1 w# o9 Bset unhonest-service 0
1 w5 t* r' p, L% _# f/ v' j4 @
: T8 b" H4 @3 U. ~& }; p2 hset oscillation 09 p& I# D) r8 g7 o
7 a( u9 b$ j/ s$ h# s& Z0 p' L
set rand-dynamic 09 C' l4 J; F0 x+ D* Y; j9 ~
end2 B2 z$ {+ n) G5 |4 a- W
4 v- h* p/ A, P t+ p- v! X3 X
to setup-turtles ' [* f/ N' I$ t' Z4 Z$ m7 P
set shape "person"7 h( ^/ i* h, W1 M
setxy random-xcor random-ycor
2 k8 [9 c, p5 F# ^$ ]" ^set trade-record-one []( [. _# [5 C2 {. A
! B3 i0 O- s$ I( R
set trade-record-all n-values people [(list (? + 1) 0 0)] . v/ M. p0 D0 l) k, H7 U7 M
6 d- i4 q" o& O" Y- Y# Y
set trade-record-current [], Z9 }, b! c6 k
set credibility-receive []
6 e. \6 ^+ j& t3 n9 Z! b8 tset local-reputation 0.5
' @* \4 }$ n6 c% v6 Kset neighbor-total 0( I3 B. {9 Y" M( H- c
set trade-times-total 0
2 _2 ]! j; o7 M" T' Hset trade-money-total 02 Q1 ?' T0 x8 W2 n( _6 s
set customer nobody
" @/ X* `! e' W$ W* l! q- w: X8 U" Lset credibility-all n-values people [creat-credibility]" |1 J0 W, V: R/ t' m
set credibility n-values people [-1]
3 i, s2 `5 b: l; r% L! B9 A3 X4 Rget-color
4 s( L6 X% O! Z
! K a1 M' _ zend- v& ?" b$ ?! s8 A, |* Y2 I6 D
. T. @$ A/ ^1 r1 Mto-report creat-credibility% x1 y( Z0 ^# e9 n
report n-values people [0.5]
& T* h, D. U+ M8 _! G0 `end
& h; B0 E( |( X2 Y# p8 D& @7 E
to setup-plots5 ^* g( s/ D# t
7 @8 |9 t) Q- a$ W- n* t% Fset xmax 30
* w9 V3 d+ E- E: B( Q$ y H# ]5 Q$ T; h) B8 L) U
set ymax 1.05 f6 l: R) r% L" Q4 h- V4 V: G: w8 q
7 R2 h* L1 ]% _/ V iclear-all-plots% z: g' R8 [2 ?9 H+ p& [
j8 p( b* U! ], qsetup-plot1
" i6 E+ d; e# n9 F6 z4 x3 n, x% ~9 T- z5 t4 s
setup-plot2 e% d2 S. ~+ O X3 j; t# ]1 d
4 ^0 R( q$ i, _0 ~% j) l2 v! v4 F, n/ Ssetup-plot3+ r2 I1 y# p8 o+ `6 L% ]; E7 I
end
$ [6 y) S6 z6 ]% u; P4 }, E5 m0 q$ K4 G5 L& q* P* b
;;run time procedures! [& u' Z& {' N2 U1 Z! x
- u! z" g0 f# s5 E/ S
to go
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ask turtles [do-business]; j! W. ~ h1 H4 U7 r/ r
end
7 S6 a9 m! s9 ^ |7 u+ C* x9 T
3 C+ { t4 I6 S* ]4 y6 vto do-business
* j. S; H- P0 ~# ]6 y" I2 f% _) a [* B! C2 W1 f
8 I0 L2 v1 V6 P7 \7 l* X/ n+ W# i1 S0 o
rt random 360
" q" O' W+ _2 T- {0 S5 a/ F% Z. R, y% f+ ]% h* {! j! g# c
fd 1
k! U7 i! W" H( t# B8 a
) a Z. I" d0 o% Gifelse(other turtles-here != nobody)[
( j( C' F3 e }3 {1 H3 Q6 p$ ^5 {& [# m- e' f
set customer one-of other turtles-here
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4 c( S* \& e; t# ?/ H+ U( K;; set [customer] of customer myself3 b2 G7 M2 l- A* H& W* Q0 q
5 y [0 \/ f& P0 E' b1 l, yset [trade-record-one] of self item (([who] of customer) - 1)
* o, g; j0 C% M& _[trade-record-all]of self1 |! W* i! i/ \, Y& t: a/ X
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
* F7 {; v% S& }1 e
4 @3 N( E4 Q/ jset [trade-record-one] of customer item (([who] of self) - 1)/ m$ \2 B/ x0 F: ]2 \& x
[trade-record-all]of customer# I+ N+ R/ \( q- K" o; `
5 }9 D) H! T* ~& j% a! mset [trade-record-one-len] of self length [trade-record-one] of self
4 _; C7 |& S; i5 R/ N8 p: \( Y6 s
5 C1 b/ Z) H; g1 c3 B1 V6 rset trade-record-current( list (timer) (random money-upper-limit))& N- X5 n& v- [; l- F/ {: T1 v
. K% j, o5 s% }( v8 jask self [do-trust]
* B2 Z6 P! q2 R;;先求i对j的信任度4 h( Q6 u" ?# }- b
" J5 X' X7 ?+ i4 w- b
if ([trust-ok] of self)9 U/ c! G) |! `/ q0 R! Q0 G
;;根据i对j的信任度来决定是否与j进行交易[6 F/ w+ @( C/ I+ O8 e! f# r' Z
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
* a' U D2 i$ ~+ h
: f: w8 {. W! C# a' r[! @1 Q! H* l5 w9 l" z
; T- @8 I: R) t+ n4 `, p' z
do-trade, L; ?( ]. ]$ o5 O5 g1 l, [
z8 O( b8 s+ I5 Xupdate-credibility-ijl( q7 t" H+ l d C: `1 y1 S/ t
V8 J) l# U1 G, R( b0 cupdate-credibility-list
" z# W3 h6 F& J! A5 R Z t
2 j! M# w' T- G8 m- \/ m* ? x7 S+ H+ m0 M
update-global-reputation-list
# C. p5 P. b/ S3 R- y' j" M* m$ }2 d1 M# H
poll-class- F# b9 ~) c7 v, T7 d0 y8 k
* a4 E0 Q4 i, D: g
get-color( I4 ^* r3 [; J2 n; v! O3 d$ {
% p/ {7 F8 t! d' n d]]% U' h4 j1 h9 Q& h' H7 r) m
# F1 u6 ^0 D+ J; @# W( I, g
;;如果所得的信任度满足条件,则进行交易
" @; D! A& A& q
& o5 @8 i l5 |2 y0 u* x3 z[9 ]: c! V: v! S4 Q' b8 \5 U
% U6 ~; F( J/ N ^2 N: lrt random 360
U8 Q% G: p5 D0 e. r H5 F. G
9 S9 y0 ]3 M5 K' \fd 1
1 h0 h4 M) O) o6 I/ U3 Q e' b( T. m# B+ Y0 C: [8 p
]) w$ n- a4 f, r
( y( L* ^5 [. x# v3 {end
, C( @- i- M0 Z. Z$ f2 [% P3 l. I3 U! V" ~1 g
to do-trust
c# m3 N) C: r- E$ W w) @6 j- Dset trust-ok False
9 f6 j% W, P3 _7 M# R/ b, u% t6 S( d8 Y+ E, u0 |0 l
3 y! m$ q0 {0 R4 M2 ?* R9 c
let max-trade-times 0
8 \) p9 V" o" n H! _foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]- i+ e/ i" b+ U0 I# I, q) d9 g
let max-trade-money 0
3 d7 E$ _6 D6 Aforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
4 D0 f3 `# r5 @& c, p( klet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))' O) J3 Z# S3 d9 b L$ L2 P
$ o8 |4 P+ W5 B! ~1 k! n' N$ \
, K* j$ |/ m; r7 Jget-global-proportion
. S( e3 {1 U/ ` ]. ylet trust-value
4 k" C& N" E4 x2 J1 S4 x) nlocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
8 ?; h/ ]2 u6 R+ ~/ x. pif(trust-value > trade-trust-value)/ G. E R% @ A, u4 `0 y6 m
[set trust-ok true] U( k$ \4 }4 S6 D' h ^
end
7 o" ` g% o, D( m) H
$ M4 _# ~+ l) \9 H3 {9 _- m; Dto get-global-proportion
, ]- Y" J3 I, t5 |! ~5 E% G/ Eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
" G g6 e% ^2 F* H% T# b) N[set global-proportion 0]! f. G6 j1 j& U% Q" b$ F1 l5 L' B
[let i 0" V- w' y- Q9 [7 O4 o
let sum-money 0
0 d( d0 \0 B& T) A& `- }8 a- wwhile[ i < people]
; t: K* o* e j* _0 m# W$ D[: a" @4 ]# e) a6 `
if( length (item i+ H) f: n! ?1 }. H' @, R
[trade-record-all] of customer) > 3 )
& U: u/ ]; U- j2 v" u[
( v; s9 n2 }% E( f X. v/ ~2 |" g, Pset sum-money (sum-money + item 2(item i [trade-record-all] of myself))2 I4 W2 Q9 r0 c/ Q6 e7 G0 K% s1 [; V
]1 |/ p: M8 K2 `
]
" N0 H; ?1 X2 b! ]( M# slet j 0' s% n" V5 b n! J# i: d3 `
let note 0# G2 y9 n1 g! j6 q, K- q
while[ j < people]* H" t3 T4 b" M! G
[' Y# u4 V7 f0 Y9 W* }! Y/ ~
if( length (item i7 a' l! U8 P. v4 p6 Q: y
[trade-record-all] of customer) > 3 )
{7 s* U" _: V. e4 {5 N[
9 k0 |3 u6 [+ g( [ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
9 G$ u3 Q. L: R[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
# m* q: ~; E1 J[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
0 E/ T0 K" P7 N. t]) O3 {. _) b( b" {( U7 y
]7 i+ \, n. V# i
set global-proportion note! j# F3 E% \ ^
]: d4 W: k" _: S6 O2 t+ O& E. w
end I5 c$ M! T0 q: i
$ J; t' V; b D( M; _+ T; s
to do-trade5 q" S9 Z) U4 f" G' ~" v _! G* b
;;这个过程实际上是给双方作出评价的过程
5 `+ X& z2 ~' g& m! G/ x, ], E, [set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价( T6 H6 ~" V. Z7 {2 Y7 `6 W6 X
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价1 q1 f- y! s7 ~: ?: H) s2 a, J, w( k
set trade-record-current lput(timer) trade-record-current
% d- `. w+ a2 d0 y; k5 Y;;评价时间
a7 b" N/ S! E# q Oask myself [! f' q* i2 y2 n: l
update-local-reputation8 M2 k# v# [. k$ D; `: b
set trade-record-current lput([local-reputation] of myself) trade-record-current
) f7 r" b9 }2 k+ g5 R! y# B# F0 \, ]]
% t5 t* Q7 u0 {( {- x! v" Bset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
4 A# ]) j( B' X" ^8 v( s" B;;将此次交易的记录加入到trade-record-one中
8 g1 a$ F, F$ M& ?& E( nset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself), W$ v" Q( n2 I& E3 ?
let note (item 2 trade-record-current )1 V: D, L0 d' @
set trade-record-current# w- l" q2 x& K' U% S1 S8 w- k
(replace-item 2 trade-record-current (item 3 trade-record-current))
8 H: l& q# v/ [- q. eset trade-record-current
4 O u1 @% W) c+ {' C(replace-item 3 trade-record-current note)
! ~) d+ `1 k8 V1 `8 i) W- X) F S
% J; d; a% J3 Y. C9 d6 r
ask customer [3 |% [* \) P1 f+ o
update-local-reputation+ \2 m6 M2 V, U. K# ~
set trade-record-current L% u6 u! P3 Y# i& t* C
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) * i x7 S! r) f
]
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- z& O$ Y; B8 t
! T/ l3 w& d+ M( n2 Oset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer, f& g7 m8 y: H# F
1 ] D! ~4 P" w6 p
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
1 g9 q" Q& E6 f9 b8 n6 z;;将此次交易的记录加入到customer的trade-record-all中
; h2 d, R2 t4 Fend
) `* @' s6 W3 V- p
) s6 r. G. C {to update-local-reputation
. Y- {# `$ ~3 Tset [trade-record-one-len] of myself length [trade-record-one] of myself
5 Z8 A& {* }, G. B; s4 d5 F6 B
% y9 E$ \& p* \/ V1 v/ ?: i1 [
* n! _& F1 d0 O) z; E: O* U: Q;;if [trade-record-one-len] of myself > 3
% h4 d& k9 m; @# I8 @5 nupdate-neighbor-total" e0 `4 ~+ }& G H6 g
;;更新邻居节点的数目,在此进行
$ X. }+ o, [7 u% U& J3 Olet i 3
! I; r, l/ n9 u& m5 H$ wlet sum-time 0
+ l& E- q$ o& b. B* T& Bwhile[i < [trade-record-one-len] of myself]1 y) i: w% Y3 c( K9 k2 U% K7 x$ k# B
[. D2 H( |5 s4 J
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ g' m0 u; C3 vset i
5 m9 T- c+ q" s- b- w, t5 W( i + 1)9 C# d( ?* @6 }3 m
]- _6 P* U2 k% O+ y
let j 3
1 W! e4 z0 k9 c) h& v9 ilet sum-money 0
- ^! a4 I( W* H& ?" rwhile[j < [trade-record-one-len] of myself]
! x S- l, g) X1 k6 G[) u: R0 l. t/ A$ ^/ X
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)) |/ E+ [* e/ L
set j* l+ |! a5 T" n! @1 ]1 w' F7 ]
( j + 1)
( M& H+ ?! }' S0 m4 K6 r3 z]! @6 [9 |# g t, |; ]! @; m
let k 3
2 n; `$ M8 |3 j5 m9 c2 G$ z2 D9 ]let power 0- q6 h8 k) `8 G, _' B4 P7 y0 K
let local 0
: J. z5 d/ d; l8 l Q1 O5 ]/ xwhile [k <[trade-record-one-len] of myself]/ f$ O) B. d+ y
[% X) B, H# p$ ]
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) 7 c. n. l: C/ C% ]$ s- f( I
set k (k + 1)
& X/ t+ M3 _) O6 V]
. b6 T& G3 L5 d/ J# lset [local-reputation] of myself (local)1 S% \' X+ m$ ~$ R+ n' p
end2 X. f3 c4 w- x a( i2 _
$ k9 q l) H9 u$ ]1 b/ n' G
to update-neighbor-total* R: ^1 t( a# V
; X) R0 m: i5 Cif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
* p+ Y# G7 F4 ~4 C z- |/ H6 m- h" G; x4 w3 J/ }9 m {4 Q
: r. G5 B% S4 m" W5 ?, ^. Aend, b3 z0 \* V( {2 Q1 e
& w4 z/ D$ i8 W. T; ^* I
to update-credibility-ijl 2 ~& n+ P+ f: u( y/ h
5 E) G4 Q' b. L;;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。; \1 Y: f; i: H# u- h: j
let l 00 `% y/ {4 u7 I" T
while[ l < people ]+ m5 G# W) h% k( T# ^& V
;;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
i% b7 `6 C3 `- Q" _2 q& N, ~! |[
! x1 T( O; ^$ D# }let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
/ g0 Z$ Y2 X; Z* C Eif (trade-record-one-j-l-len > 3)5 x% d8 _( p. A
[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-one2 Y- Q5 I I' V+ T0 a1 E
let i 33 u' `" p/ N$ y2 F
let sum-time 0
* u1 G1 g! w2 z. N) bwhile[i < trade-record-one-len]" f/ m7 @/ S: d- Q3 J* S5 P
[4 g" A# {% ^ U: R4 a" G; F
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
2 f7 s% S# ?% n: t/ C! Lset i5 T' }2 q, r# c0 b! V$ O
( i + 1)4 B0 {$ C( k1 l0 \3 C# A1 r1 r
]
6 C" x( E; X3 Q% g: @, Plet credibility-i-j-l 0
P/ p9 d) }8 \8 f: ~$ ];;i评价(j对jl的评价)
+ B, B, D8 p# llet j 3
' Y/ [$ m4 b7 T2 {, Klet k 4
5 v2 |6 r% E) w+ g) k( R& Iwhile[j < trade-record-one-len], H' |' g2 y0 {! x
[ K- Y8 ~' }# X+ _# b0 @0 \
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
( P, u# K: m Z+ [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)
N( H' v7 [9 C) Xset j. ^0 j2 X' m' M0 g/ H- f/ x1 c, L0 k
( j + 1)# L, s: V2 n; ~
]
% o6 n- J" X |& A! B0 _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 )): o# Z2 G$ S5 m% z5 s
" y% X" o/ q- J: [6 _1 @+ v0 s+ }: `2 h+ g: r4 J5 @
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); y# U- f3 K( g: [; X
;;及时更新i对l的评价质量的评价6 y- N. g( l$ Q% {* k) h
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
& b# R8 t0 A# v4 I+ L7 p8 T7 @6 ^set l (l + 1)' z7 I% U/ B9 w4 T0 e
], W& [* U& m9 b. g, I
end
& I* v: T0 m" P; ?* T: t, H1 Z% a8 c- u0 u2 p0 i
to update-credibility-list
" B/ k& z" S& U$ l+ \6 Z+ @) f2 `let i 0
; O% z" @, D7 r; t0 Z4 |while[i < people]2 S q1 Z& b% A3 U7 A. \$ c) @
[
* g- r$ E% f/ e; _; \9 J' ?let j 0' C+ T# X( d: ?5 S8 V- D8 ~
let note 02 C% s$ |3 M9 e& `9 b+ V4 p
let k 0
3 x+ Z3 {8 I& |- R& K/ e( ~;;计作出过评价的邻居节点的数目
; G6 f( J, r* Y% z0 Pwhile[j < people]
" t* ]# K3 }3 g2 F2 ^3 ~* y W[4 I1 r; G5 K% `4 X
if (item j( [credibility] of turtle (i + 1)) != -1)3 R9 A$ l" Q! K! J3 X7 v- H3 M
;;判断是否给本turtle的评价质量做出过评价的节点
2 m P5 s* R/ B[set note (note + item j ([credibility]of turtle (i + 1)))0 c- s. Y; {6 r: y: s
;;*(exp (-(people - 2)))/(people - 2))]
, b2 p- q/ x% J2 `set k (k + 1)! W6 P& H! T& m* P; c/ K' Q
]* C+ `! \- p7 _: B3 E
set j (j + 1). M0 G# |" U+ o+ {
]4 f8 B) f" I. f& s. L+ ~
set note (note *(exp (- (1 / k)))/ k)
& r3 _8 n: O: wset credibility-list (replace-item i credibility-list note)
# P% I6 }5 [; V v" T& uset i (i + 1)
5 w6 J$ H+ u/ []
, G- N2 H" K" m6 ~7 L/ _end
M0 l1 l' D* J$ i# b5 {* Q8 q$ X1 Y- p) v5 a' D9 @( w
to update-global-reputation-list( [# o% x+ h) ~% X! H6 S
let j 0: n1 w5 T/ u" Y+ r3 Z
while[j < people]$ ]1 f" U$ }& G8 `# |2 M
[/ D! T) l$ A+ C2 S9 V6 {$ T7 |
let new 0+ q9 M: ~; j% L+ [$ s) w- ]
;;暂存新的一个全局声誉
- O7 i* g7 i. Z. A W/ ` g9 c% l6 rlet i 0
' V7 N6 r! x' G) r% n+ {let sum-money 0
: n" v# I2 \4 T6 r0 [let credibility-money 0
! `4 \! H: [1 \* s2 [6 _while [i < people]
' h1 T& H2 ~5 [; ~3 M) p[
( x+ C) { [4 I# x$ ^. k0 `set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
! s# c) N" L; D" Y" |2 w$ Tset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))2 \% w% F6 B% i
set i (i + 1)
1 T/ ^1 _6 {0 e) e, j% q; Z- g% G) v]( U, T5 ]: ^" y" ^ M- L' d" d
let k 0
' I. k: j+ D4 b5 L4 Mlet new1 0
9 f6 }1 l9 H% ^; P- pwhile [k < people]7 `& x) I: J( Q9 z- A
[% v! y# i+ z$ p8 @
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)9 T- y+ E5 f! E) o3 T* c3 E& u
set k (k + 1)
; y3 ~% X' t& y7 u]
2 c" v' C& ]' Zset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) / p" D3 ^5 t3 j0 Z
set global-reputation-list (replace-item j global-reputation-list new)' D) ^; k9 O- q# U
set j (j + 1)
8 @. J" g2 V+ S]
, I/ ~1 R9 v! d. g4 Vend% f2 Z. K% y8 Y
3 O z- A" {9 | r$ x1 t- D
7 R* @* ]# c% _# L) y b
7 {3 a0 w# N& d/ l( t) ^; s2 \to get-color4 y; s' |6 z& K- I
7 x4 e+ t6 F2 N/ T" D; Iset color blue6 u% A, |* _# a$ h; ~, K
end
; _! W0 P$ _! m! d+ N
; H8 c5 w6 e0 l( `7 q! Mto poll-class: n$ I9 u8 r9 Q; i) H1 t
end
6 Q3 y6 ?, O8 {: ]" v& Z) K
W, s3 C% s' O; a }to setup-plot1
% o1 H, w! i* N2 `' t7 O8 _
: A+ }4 @$ ^& f% Dset-current-plot "Trends-of-Local-reputation"
5 h. \# Z+ h# J2 D' z, F$ @) X+ {$ s: D
set-plot-x-range 0 xmax
# A! c1 _( _' P; E8 v3 P
7 G+ X+ s, L. h6 w( r& ~0 }! c' nset-plot-y-range 0.0 ymax
# R ^1 E! X. q1 n8 Nend1 f D8 B4 d% a/ G- T9 C4 h
7 h1 O, ^$ ~# ^; a3 i+ t
to setup-plot2$ y \, \7 ~8 P: P* @
) s5 _, u& N1 B3 H+ J* vset-current-plot "Trends-of-global-reputation"& d9 B, ~# ]. v$ I0 }( V
4 ~$ k/ {! [9 W# j% d8 z. X0 [! v9 dset-plot-x-range 0 xmax- ~, y8 |' X7 g+ \" i! T
( z& M1 ] F+ `1 Z$ h' c8 W3 f+ f
set-plot-y-range 0.0 ymax0 \/ F u. a" _) j1 p6 ^
end
$ l& @% K. H0 y% A
% v, H3 V- ]% A* S" U% D; S% V7 v* gto setup-plot3
4 `) k0 C9 G, s+ M$ ~6 H3 ?- W) |
set-current-plot "Trends-of-credibility"( v8 m K' T" d
, G) O/ {: d: T* j% r: gset-plot-x-range 0 xmax! ]0 C& d8 O3 z$ Q; C; f8 |
0 X. I$ f% i+ F3 U: f) |$ @! h
set-plot-y-range 0.0 ymax0 v |0 A: v8 x$ b) a0 B; v
end
! F2 y0 f3 T9 M' j) J! A9 _$ \4 V# K# K4 H9 ^. y
to do-plots- O4 f7 y% F7 y
set-current-plot "Trends-of-Local-reputation"6 X% b) a+ y8 C1 ~/ {+ d5 _+ ~
set-current-plot-pen "Honest service"6 y3 p: B# S3 G1 i3 ~
end
, E; T/ Y4 H6 ?' \' z# b" x% t* E; q- K" E5 K+ L
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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