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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, T9 k {* d3 _0 ?
globals[4 D+ ~' j+ S" U) S/ ^/ q, V5 {
xmax
$ L! e- V: t6 M7 ?ymax
7 v! e2 k" Z- gglobal-reputation-list) C- I0 z7 b+ C2 h, [+ Q0 r
& x! A1 ], k1 g8 l0 `5 K
;;每一个turtle的全局声誉都存在此LIST中5 h4 R4 J6 n! V8 z
credibility-list& _5 F% ^: }% i6 y9 @" h# R
;;每一个turtle的评价可信度- x. I' Q: T+ t0 X1 I* Q8 G
honest-service
- ^6 E+ K# A- b9 O s. G9 A& a; G$ Sunhonest-service2 x8 p* X- W1 a" t# E3 P4 r
oscillation4 {4 O: D1 A9 \2 ~+ p- C) N7 m3 `
rand-dynamic' H4 Z1 s" r' }, D7 P) Q0 _* J) P
]! v" a$ L+ T; c4 A
* A: k( Y% Y4 T% W0 j+ y
turtles-own[ u1 d- ^5 S. H% p0 z* B3 w
trade-record-all1 |+ y! l! Y3 R& a: _7 k, q. y
;;a list of lists,由trade-record-one组成- I. O7 k I! z
trade-record-one3 T( d7 `; s, z Y- s# T
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
+ y0 W! ]3 l: L9 M9 `( u/ }# l! U7 X4 a# E# A
;;[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]]
9 v( z: \1 j/ u ~) J1 T7 Strade-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]
- v- a" e: [# a/ ~5 v% jcredibility-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
, a+ N4 |: y# _) B3 M$ ~neighbor-total
) l% n# C% B: }3 Q: X+ I; A;;记录该turtle的邻居节点的数目
( e% O& c: }( B6 D% Htrade-time& O. F0 h1 D; Y& y- ]5 m
;;当前发生交易的turtle的交易时间/ R" i% Q0 X; R6 M1 I
appraise-give
. Y3 T) k6 k/ }: P;;当前发生交易时给出的评价+ y* x9 P. b0 \! D( o; L3 A8 k
appraise-receive
" y6 F4 n. Y% t- m" {;;当前发生交易时收到的评价
7 `- R4 t1 `* J: e7 e7 t5 nappraise-time
1 l! J( U% t" ^( ]/ `6 B5 w;;当前发生交易时的评价时间
& a% {. [# Q1 c8 W* p6 ylocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
H& J& r/ E) r: Q$ g" ttrade-times-total
& d. n1 f. p) H& c0 g4 h: H;;与当前turtle的交易总次数
7 a5 A6 o$ j4 n }trade-money-total
3 @, X. ?7 \7 Z+ O+ L0 m;;与当前turtle的交易总金额
! c9 z& o0 o( m, R$ \local-reputation4 h/ ?: T6 S3 b6 W/ A4 f$ f% ?
global-reputation
7 P- Z, v) e4 G, V2 T- |% Qcredibility
6 j/ \; t( e5 M: z2 U! T. T7 N% a1 c6 J& [;;评价可信度,每次交易后都需要更新* F! k. m: t @ F6 S' Z2 Q' t
credibility-all/ ~2 J1 k: d. `+ u C. ?, }9 R& E
;;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
9 k- E5 }( q* w0 P+ c
* O: Z3 E4 P- 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0.5
, ~# l0 p% ]: Gcredibility-one
4 B' R5 H' c' {, w6 [ c' G;;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9 K/ J5 L# ]& u
global-proportion
. v) N' m3 t% e$ v1 ]customer8 W( I5 q, K0 I( f
customer-no: W: t) l0 P7 T) Q! ^9 m- w0 N8 q- d
trust-ok: |5 ?& q* c' t. p
trade-record-one-len;;trade-record-one的长度
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5 G( Y- o3 R4 a' W: z0 q/ f5 [; \7 O9 M2 U1 [! H
;;setup procedure1 N2 I/ q$ g4 W& K, l
& c: S! u( B3 r
to setup; q( F$ a! m ~
3 I( Q0 g: r# z! H6 |ca
Z& P2 x1 R9 h2 \+ T- U6 k
. E# Y9 D, P) U1 `initialize-settings
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crt people [setup-turtles]
$ [8 L, R8 K; B" @, r$ `! B0 O% ^! o* K( n
reset-timer3 s" t* x: n% t \
3 H! ^) [. U; m2 X! Opoll-class
5 V. @; u6 P& a+ D$ Y$ d: h# t& z2 M
* q! A, K7 h* ksetup-plots
: u! {4 }; F) N# X) m, r9 E
* ~$ T X7 Y" m7 y4 i Cdo-plots
* R: h# q7 m# p+ _! f) h; @end
7 r3 o0 k# u# [! R: b+ u' l; Q2 r/ ]' l0 h" Y$ f( S
to initialize-settings
7 U! L: u$ U4 q; m" N
9 g! f& I1 T/ z0 |6 cset global-reputation-list []: a2 A& C/ b- [% s, x2 ~
k% [- ^3 a7 s7 }! T/ h& [set credibility-list n-values people [0.5]
5 {% B' M4 |1 }9 T5 a% y# o9 `" P6 D% H! i) Z9 Y
set honest-service 0
% ]8 N1 f& W ~! C
' q+ r+ ?& M( M9 L; W3 r* hset unhonest-service 0( L- ?+ Q! }" i4 }
7 h& i9 ^, F* C6 B3 y/ f8 b; tset oscillation 0
- _! v6 [% J3 _/ G; A. g3 n
% ?- ~9 `9 l; \! V+ B. r8 Jset rand-dynamic 0: ^ \/ V$ m. B' w& L" ^
end2 c' H, k0 I }+ ]- ?3 o
2 o8 S+ p* G( Q6 N f
to setup-turtles
; j* |4 h0 p! }( [set shape "person" z# l% q! Q8 [+ G; }
setxy random-xcor random-ycor. D. R6 q( O( } ]! J: |
set trade-record-one []
1 u# h" a( c' |2 |2 ?* g5 u8 [( z4 I8 N. B2 v# G1 n
set trade-record-all n-values people [(list (? + 1) 0 0)] ' S# J( A+ K9 ^: r3 R0 z
6 W% N n' Q: U' F( ?
set trade-record-current []
* S3 O# `9 {( p+ p7 |' C0 }; Zset credibility-receive []1 S5 d( t% C3 m& @ L, S4 o
set local-reputation 0.5
/ H/ i2 S: |& a* kset neighbor-total 0
7 p+ _1 O# D# ~" z( l) iset trade-times-total 04 \% P# x0 C- S4 i, b( G% N; O+ j
set trade-money-total 0
9 s$ h! r. _2 o4 {0 [8 S! U) L+ fset customer nobody
8 Z* M. L8 [2 a8 ?3 c# M$ Dset credibility-all n-values people [creat-credibility]
$ [3 O6 l# L2 v/ A8 ^set credibility n-values people [-1]
7 @" C, p: v9 h8 X! G+ u; s' qget-color7 N) }7 s- R4 s9 s( @7 ~
! K# t; X s; l2 J# f: u6 {, f
end7 [7 r% t; F/ E# H# Z
2 y: e; A+ _: w* d
to-report creat-credibility
. s3 y+ Z# ?" x A4 freport n-values people [0.5]
( i2 E1 ~& b- tend
- ^( D6 }- W* k% U3 L0 i g8 A) F
. w ^7 c3 l7 Dto setup-plots! K; ~& V, g' P0 b5 `
0 o) F2 u; w' Z# P$ ~set xmax 30
6 u" T6 B; ^ j& L- W/ I2 C& D2 O7 V; N' A6 [& l. j
set ymax 1.0& x7 t# Z5 O1 _
* b9 w. d* q- Kclear-all-plots* a8 i5 [' I1 d* }
4 E4 }7 _0 r/ Y" K6 }8 Ysetup-plot1
& {0 x4 v$ _, j& \2 ?9 a- s, m9 w
. w6 h" C' H- w/ Xsetup-plot2! i! d+ S% g9 \9 E; Z
. H/ q1 o( G: L, ~# u- {6 w
setup-plot3
3 O% j& g3 d* J D Z+ f" fend
2 D* c* P5 Z( G( \) l1 J/ w7 C: [- v! s) [, n" y7 C& t! K
;;run time procedures1 d) `) c6 L, X/ W, v) X' @
. o* I! d A- K: r2 ]: G/ N
to go
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ask turtles [do-business]
) _$ O" M# k3 C1 g! i/ Yend1 s9 O- ~2 q% J! Y6 ]
: P$ a% e- X0 S W- G8 U$ B
to do-business 9 K+ ]! P0 A' n; K7 C! y x% q' f
9 e. f# b. E @! Q/ m' Y
& N" p- K6 d, i, N6 {rt random 360# e! H5 a: B4 M
, H) J7 b1 }: m1 D h* J8 y4 ]fd 1( _+ _3 ?1 E! x; L
. x* w4 u5 w( }; e8 O6 zifelse(other turtles-here != nobody)[ v, r4 P7 r1 l7 W
# l/ ~; v6 A- ?1 ^4 E ?! A5 o8 v- fset customer one-of other turtles-here1 @0 R. x; H& e# a3 Z
3 m t7 T) [# D- R- G2 l+ A
;; set [customer] of customer myself+ a t7 q' `& F( {5 f+ c2 `
* i: V+ t5 A3 s5 A) \0 f
set [trade-record-one] of self item (([who] of customer) - 1)
# ? u4 K$ ^& P$ u[trade-record-all]of self% a5 e0 @# i: ?
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
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2 w& A0 {! t/ pset [trade-record-one] of customer item (([who] of self) - 1): G: D/ C& s& u; L( k
[trade-record-all]of customer) t% k, ]/ p f6 f; {0 h
& G( g# J& T/ p# P
set [trade-record-one-len] of self length [trade-record-one] of self
0 j+ Y2 U6 Z D! J% K7 Q% |7 l+ X! o5 ^& H! Z. N! Z* l" ?/ }
set trade-record-current( list (timer) (random money-upper-limit))# K- K3 m- O1 X- c7 j8 u
' e2 Q: n' [" mask self [do-trust]! m6 }" A0 F0 p+ }; [4 X! I, k, E1 n
;;先求i对j的信任度# h5 F3 S. R. W1 R9 w4 L
* d; f7 N' U9 ]$ w: h4 N( R
if ([trust-ok] of self)
r3 v- t( J7 X4 Y;;根据i对j的信任度来决定是否与j进行交易[/ u7 T0 |7 ]. X# w# z4 `
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
# |1 x/ S3 h* t- ]" [# P, u; q3 F0 A
5 f+ w' w, M5 n- s& z[2 A+ Y, ~2 @- d2 N! E
# H( h9 Q. `# L% c2 Odo-trade
2 \9 w" u: Y& o
4 t- Y+ d- { J6 c a' cupdate-credibility-ijl
" m/ V/ B! t' P4 l& W+ h& R* H( k( B, P
update-credibility-list
" l0 h1 Z: Y1 B7 D& O0 ^ c) X: b) G, I
+ S- {( S# W/ Y4 R8 x! E+ W- A
update-global-reputation-list
+ a1 o3 S8 u% S6 V0 ~- W7 P/ N Q* \# ^: h( B( o
poll-class
1 v8 g X+ P, S9 ~/ [$ _- ~4 U) m1 L( b
get-color$ D8 ^& Y% L8 j2 Q
@# [! g+ H1 Z0 i% @4 A3 n+ _
]], y8 T. ]0 Q# B
4 |" {3 \+ ^; D
;;如果所得的信任度满足条件,则进行交易
# B2 P; `$ h* U- u4 i4 [
0 d3 e, W' H" \ e2 r[
6 i1 [% I! ?2 I' s" s( z
9 a7 v0 n$ Z* @& Z% A% v0 s4 ~rt random 3607 z" p1 h5 Y4 Z9 i! N
) m9 X! w; k3 t$ {0 ?. Rfd 1
- O9 G* N) E- }1 A8 o2 d5 H2 g+ j7 r3 v$ X7 S
]
, f6 o1 V* N. j. _$ F
& o8 [+ {/ s( t; k; K+ `end
" Z+ i' w4 U1 m A4 S; r% N: z3 T5 i( x
to do-trust 4 G. m5 x2 e* j- K+ W# M
set trust-ok False
/ c% M5 A( k% j0 e) [
. ?. Y y/ P9 G. m" O- K
* `& ]1 p# o, e# S- C$ clet max-trade-times 0- M+ H; N( R* ^5 d0 [- b
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
) l' U5 S* I4 Z9 e2 glet max-trade-money 0! c- F/ W% r3 {& s6 }
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]3 ]" K2 B# T. I8 M0 }& ]& ~4 i' [, q
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
1 Q5 W! u! `3 Y1 `5 C" N M) g, J' D4 j
0 v* c$ v* E/ y6 }
get-global-proportion6 C& @$ E* g8 b" a; _
let trust-value. o* y3 [6 ]/ G: O# V0 p1 U. X* O
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)
: N5 ?2 O( _( V4 ]/ s: @if(trust-value > trade-trust-value) D- X J8 q! m8 m/ {
[set trust-ok true] P3 u/ j: V; c; A& {. J
end0 l0 k) D: Z0 U+ m7 m. O
3 p0 E$ L) g) p% d$ `! E: h5 X
to get-global-proportion) U: L1 i7 W0 G$ d2 Y9 M4 b" z
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)/ t3 b8 `! T4 Z* b, G
[set global-proportion 0]
% ] d. D: V" \[let i 0 `! m; u( |/ \, B" B) s. X
let sum-money 0
8 f; h9 Q0 d9 ~5 R$ Mwhile[ i < people]$ P d X# Z; f& X
[ ?4 J3 u8 n+ I3 T. J
if( length (item i
# @5 i& [3 L1 i! M5 R[trade-record-all] of customer) > 3 )
2 m) G, e3 s0 D b/ ?: [: m[
, ~% Z1 s8 b. B' lset sum-money (sum-money + item 2(item i [trade-record-all] of myself))% H4 d' i- ^9 T% D
]0 x0 N5 x6 X5 y" ^9 _9 B1 p, P" E
] y* ~. c3 a6 Q; r U
let j 0
8 N t0 q2 h) |0 w llet note 0
. Q5 b3 H4 ^9 k5 c% H% xwhile[ j < people]; Y6 T, |# a- ^- y7 j' v
[
0 L- C+ g% x/ T0 s) z: aif( length (item i! G4 o( w! l1 u) p$ c
[trade-record-all] of customer) > 3 )3 G! y7 d; P2 h8 z# P
[
% [$ ^: ]% e' M% @/ ?& pifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)* k) r* [8 v x) Z' L9 f* h
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]8 A5 p/ r' }2 g2 B# |7 r, Z/ I
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]; N* j# S8 T6 z
]" o# s8 s; o0 y- f! k
]
1 R$ r" ^4 s" x+ Wset global-proportion note
2 \+ e4 J" c- j]8 R+ w3 O" y- A& F/ I
end
5 s/ ?' ]3 T: y9 a% g3 j
$ i6 d5 Y: s1 |- W8 _1 z% rto do-trade
! X, q5 J$ _& `$ z' {;;这个过程实际上是给双方作出评价的过程! f, F$ ^8 ^5 }8 A0 U
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
8 ^2 }/ N# h9 Nset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
" C% D( g8 |+ b# d7 Gset trade-record-current lput(timer) trade-record-current
) b& E3 q2 T' K1 f;;评价时间5 w# `+ Y" P% g. z9 N$ s+ g4 i& \
ask myself [
" y2 P; J7 ?' r% ~. b! M: Aupdate-local-reputation7 }- w1 S2 d. i( P
set trade-record-current lput([local-reputation] of myself) trade-record-current
* _3 G4 x \4 O- N* E]8 V8 u6 z( A: }" |- I( y8 B- m
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
( i* W% [) y8 x7 i6 l;;将此次交易的记录加入到trade-record-one中) _/ k# l7 f, J: ]+ Y' x' C9 ]% h
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
3 M0 B2 s$ k9 `# t( u) |let note (item 2 trade-record-current )
3 C! {7 s+ [9 ]set trade-record-current
% r# T& J: |2 H8 m: y# K3 u3 h) C(replace-item 2 trade-record-current (item 3 trade-record-current))9 c5 k& d9 Q1 _8 b. b
set trade-record-current! Z* a2 y8 D7 }, a
(replace-item 3 trade-record-current note)
: V& U1 P5 f5 }( I
/ s# B( _7 x' h# w, Z ^6 Z2 p/ I4 u
ask customer [
* L6 x* b. }- b) m: K* V x, U. vupdate-local-reputation& o2 z; g5 X a$ B. x
set trade-record-current
4 l$ p9 ^$ p' E" g+ d(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
. i3 x, }9 x# J4 Y8 i# q7 k]
% ]. w/ f% A' s% \
! ]9 f2 @( E9 ?9 X8 H- D
# }$ ?5 b* f! s9 @1 m1 f& W$ }set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer: f- ~$ y1 `7 R! V" [" j
( t4 v8 I( R* t; `
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ c0 Q$ @( |* Q;;将此次交易的记录加入到customer的trade-record-all中/ t5 Z5 F% ^ q
end& s Q6 H( a- ?8 `" _& O. t* Y0 G
8 a6 r0 A8 ?/ E( c; }& Hto update-local-reputation
9 ?+ ?: f6 b- \& Tset [trade-record-one-len] of myself length [trade-record-one] of myself. E- y. w0 E1 w
, Z! {& u; {, o7 G' Z+ r" b! }: @. h3 n9 z) w" ]
;;if [trade-record-one-len] of myself > 3 0 C4 B9 @$ _# w, G8 t
update-neighbor-total$ h1 E9 ^2 {' X7 k* W
;;更新邻居节点的数目,在此进行1 a4 D1 @3 ~; n, {( ]& O/ f
let i 3
% a- E5 n1 {: W y! jlet sum-time 0
@2 Y1 Y9 {6 j7 m& J* {" Hwhile[i < [trade-record-one-len] of myself]) k' O3 x$ y5 L0 |
[7 Z" g, G6 y; G5 i8 {5 _
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
7 I) W2 e& G; V) tset i, L7 k n. s3 N
( i + 1)
+ s$ U4 u* m3 f5 O0 f9 h]
* I+ ^! s' j2 s& r# o) G1 v0 \let j 39 K+ r5 w/ ]9 e+ q
let sum-money 0
5 X" n5 q l6 y, T" S0 W6 Iwhile[j < [trade-record-one-len] of myself]
, Y( S4 ]% O g: H* _4 ?7 _[1 _7 D$ r# m/ \/ e* M
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)
3 k7 U9 Z1 F @/ Z8 K6 `set j
. k, {' h* ]. h( {6 k' E3 E( j + 1)
" t' i c& d+ Q% P$ I]5 T* y M# c% h. e' r6 f* Z: Y
let k 39 P2 D: E- X3 ?2 T4 @
let power 0+ M) B1 H7 c2 `' K: O Y" J
let local 0- b+ R+ f" `6 Q) ^* L
while [k <[trade-record-one-len] of myself]& J/ s9 C, M- B/ e2 F
[
- Q( G# R6 W0 U1 J0 nset 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)
# c% o2 Y. p: O2 a6 }set k (k + 1)$ |8 U% b$ x0 t, B/ o( a+ ]/ g
]" c1 L+ R* b2 S3 a/ h6 R$ Y
set [local-reputation] of myself (local)$ ]% i7 i6 C7 t+ F9 f+ ~$ Y
end3 v8 y+ P4 ~, h
8 D4 U. d0 q6 B2 m2 ~to update-neighbor-total
' T% _& ^, t+ N( a: l) s+ r0 B$ \* o. L
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
) i. L! {- U) G3 V; c6 s h; b) q4 f6 ?8 `% r& |/ T/ ~2 ^, \
1 C5 K/ u) Z+ x; |$ ^end
$ m" A0 _. o( E& B5 V1 V3 k% @/ F% o0 M j% d6 M" u7 k6 q7 v
to update-credibility-ijl
+ Z6 i0 v6 W, j* ^3 |- s- k
. u- ]5 m( z. O- M5 `;;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。
0 c7 x8 ?6 N6 Q Q& @$ k$ Hlet l 0! ?9 M E- M( x' _9 J- Q- f
while[ l < people ]/ c9 E2 s+ C; Z+ [# D+ _
;;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/ \$ G: I" u( C4 k [( _
[
; m$ B/ r5 c3 y8 klet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
T8 q+ O3 z3 M# @- R# s! x+ }* sif (trade-record-one-j-l-len > 3)' Q0 F8 f2 m8 K% ]. 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: S; {+ z( ]- s g) J {8 \( z
let i 3+ L9 P0 Y, p! \# u$ S7 V
let sum-time 0
$ n& ~, @- G# I$ U" U( wwhile[i < trade-record-one-len]; |( W5 U! J: ^
[. e' ^2 `% Q' b6 w. ^; t* o
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )- Q5 o# E4 I* n, G! e
set i
, z( x" |( N, s6 A3 x' M) a" B( i + 1), L! T8 b2 c9 j; }: o
]
: R! W) ?0 ]) g( p6 R* ]let credibility-i-j-l 0
0 b. f. B# s6 A% d; e1 L;;i评价(j对jl的评价); p" r, z1 Y* ~9 w# }
let j 35 ] h; v6 H& ^
let k 4
0 @9 V! [' }4 ~5 D- W9 gwhile[j < trade-record-one-len]
5 {9 }5 j8 ]3 v+ J9 V6 o[6 k% ~/ x* t: m% h0 q1 a! m8 F
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
' B+ @7 N2 m0 |% ~0 X2 mset 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)
/ H; ?6 r3 c7 {4 @. X. d$ Bset j) M! f& k0 m2 y4 s
( j + 1)/ U" P$ V, n1 L& ^
]
$ L' m' @, p x( {% ^- J( b, Bset [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 ))0 {. j( b7 W' U8 {7 \
- v4 L6 L, `3 d1 Q! J, a7 ~# n
6 w5 o: A' Q2 P8 H( D
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
- r: K* x5 b6 O+ X;;及时更新i对l的评价质量的评价
/ x2 N6 A9 O) ~% J+ Fset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
% S' t* X b6 [2 \6 d% v; d" ?set l (l + 1)( k2 U' f$ z) q& L I, P+ d9 X
]8 h/ `' G7 F- J5 [! h& f" g
end
$ p5 k2 y0 {" Y* F, T! L
- I# D% `6 Y* i! xto update-credibility-list
# s4 b8 X* R& W1 j5 f% L. d; Slet i 01 U, Z S6 F3 M% f$ x# c( Q$ |
while[i < people]
- Q8 F, d6 H- p& p/ I$ O[
* i% e8 d. x' E; Tlet j 0: U& S- h( i+ W% Q) O' a( ~
let note 0, Y" {$ M4 @: b+ D; U
let k 0
; {) R- v' ]' t, v' }& r- |1 F; z;;计作出过评价的邻居节点的数目
& ?, W) f- ]+ N3 I. }; E% ?2 }while[j < people]2 e. }, B8 ]% v, J. p
[
* U' l1 v T+ T' B- Y8 B. Tif (item j( [credibility] of turtle (i + 1)) != -1)
( E+ n+ b( w* N;;判断是否给本turtle的评价质量做出过评价的节点
6 c: e# G2 }. Q. J6 P4 z[set note (note + item j ([credibility]of turtle (i + 1)))
' N$ _) B3 P1 S;;*(exp (-(people - 2)))/(people - 2))]& X6 V% `. n1 o5 e6 I) `8 p) D
set k (k + 1)
" x( K( O- J% P]
, E6 [$ w+ c* `0 A$ v& sset j (j + 1)/ i6 J+ r y* t0 b7 n1 g
]
# v; v3 `; I- h* z2 U6 V7 ^set note (note *(exp (- (1 / k)))/ k)
' m1 }# ?/ x1 `6 Gset credibility-list (replace-item i credibility-list note)
/ h* S2 Z+ _6 K/ P; P; D5 \set i (i + 1)
+ P7 _( Y" h- y# [( ~4 ^: }]0 b' I3 P" Z+ c8 V2 N( c
end- Q4 e6 W6 k7 y& D6 z; r( F9 a
3 m3 M7 x% o5 B
to update-global-reputation-list3 H, ?. u @$ \
let j 0
6 Y/ k: d3 e! Awhile[j < people]
8 U+ I+ @& c: [! {' Z6 c3 Q& g[
( k' ~( ^1 c8 T4 o( j- x( E7 _+ w, slet new 00 D7 ?8 O( Y* x- I. t/ o
;;暂存新的一个全局声誉
7 F% y+ b6 c$ |% `3 P1 \0 rlet i 0, [9 R" s) p7 i3 V
let sum-money 0
' j1 q# X2 t5 R# Blet credibility-money 0! b5 l2 b7 Y1 Q
while [i < people]
6 D- j* s, s' Z3 Z' U; w[ x+ n! W* D9 U% \
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
4 d. E7 V% a3 y9 v# _set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
! W/ N2 F2 M jset i (i + 1)
( [9 ~1 @; w$ p. `. |6 i9 n]
9 D2 N X8 E- R% E" |9 jlet k 0
( O9 |+ S1 B4 D) `* V" E9 Vlet new1 0
/ ~. L, T7 T. z# V' C- y% n9 P- swhile [k < people]
* m2 x" V5 B: v+ J& |[
; r" K D8 M( r& I% V' u' Uset 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)
& O3 H& j( A2 F1 j% |8 zset k (k + 1)
0 d5 O/ e. a: R& U* W]& Z; C- P* d5 A3 I' B+ ]( G9 A) ^
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
& f2 s; P4 r' p8 ]5 |set global-reputation-list (replace-item j global-reputation-list new)9 Z/ ^: i1 x! o) W, P6 v
set j (j + 1)
2 H/ a/ ^. v, C6 r]
) `) L# x) ^, k' Hend# R( x4 A/ |2 g
) ~, ?/ f0 M. P- k) E8 p* }' z' _% W$ V1 V2 f* c, s7 f: ^( @
/ b$ _* o/ z1 u- K$ u
to get-color
1 B$ x; U% U' X% Y( E9 Q. h) x3 ?2 S5 G+ `
set color blue
6 W( K% q/ y& c. J! y8 Y8 qend w8 W0 T& O+ |) k
: u( c8 }6 w* f2 F6 eto poll-class! \. |) L4 H, u' L3 n3 R
end
8 [$ x# j2 c& Y7 [# H% o9 P2 T- G$ [2 F$ f
to setup-plot18 E# l6 Q! c4 C: z
% N G: T3 J" j2 t6 ]set-current-plot "Trends-of-Local-reputation": u7 I/ l( S* q" e0 }
9 s* P3 h7 P1 {! f2 g
set-plot-x-range 0 xmax
9 F1 ]; Y0 d8 i+ C8 i
: k4 y9 P5 E2 ^& vset-plot-y-range 0.0 ymax/ i- ]0 `" q e( R3 d3 O
end: W1 v L* ^8 o# X: q
/ \( P% s, z( J. ^( Kto setup-plot2+ L9 r* f# q: J/ t# Z
% P+ M3 ?8 k& j* lset-current-plot "Trends-of-global-reputation"
( Z @( R+ ~6 w' u! { o# A: p: g6 X/ C, e
set-plot-x-range 0 xmax8 e8 j' O% a6 E( s8 q
, p) o2 u+ m c4 s! T1 b9 @
set-plot-y-range 0.0 ymax: ]5 \4 m; w6 _4 W7 q( ~! b
end
1 [6 |* _6 a6 O6 m5 C: l3 m' C. J3 V, g2 k
to setup-plot3* z. j+ p& H$ F1 m* d
3 f$ _3 @' `$ K8 ^( k- ^0 b
set-current-plot "Trends-of-credibility"
! f( B1 n4 L( A# J
" R$ ^) I2 A' m Qset-plot-x-range 0 xmax
8 ^2 D! I/ h( c% z
8 _6 ^' d# ?8 G1 p+ Eset-plot-y-range 0.0 ymax
/ g! E. J5 h' K5 x3 {/ Uend( v9 i `8 |* l+ x4 [" t- G6 H
* k; n8 }$ G1 J' [0 h! ^
to do-plots1 r3 u3 d# u2 b5 K% K* J- {: W
set-current-plot "Trends-of-Local-reputation"
) ?$ B7 p Z9 o$ J y1 @* Zset-current-plot-pen "Honest service"
3 O% S' K- r/ a% b9 |0 w$ s! ~end" G3 A) J" i ]( h& S
+ l2 ^# J1 e* V! v+ i, m
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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