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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
9 ]. c1 {7 _2 q2 W) F# u3 v# k- Z' Eglobals[
5 W* K& j- E& w/ H" z6 { m2 [xmax1 F3 G! C) K2 Z2 W$ Y7 n. P
ymax9 I! n- Q3 Y0 R% U5 F( s
global-reputation-list
3 G! b6 C. g8 z$ E2 p7 g8 u7 \# \/ ]0 |
;;每一个turtle的全局声誉都存在此LIST中
6 f6 _, n+ H6 m, \ ]$ ^ u6 }( H0 ^credibility-list
- E% E5 o% g; B) o* O1 r' {+ h; F;;每一个turtle的评价可信度
3 F" D3 G6 a. j3 Ghonest-service3 t4 Y6 Q8 R/ p& S* |& Z
unhonest-service* |% w8 V- }7 C4 \* M" j. u
oscillation
$ h1 ^4 B& O# D F0 A. ?rand-dynamic0 c- Q& r1 k$ F$ U7 H
]' [# P7 S/ k! k
[& v' [( c! lturtles-own[( a h- J9 R+ }* U3 z' B& ~/ M) A0 k
trade-record-all
$ Z4 j, B6 t$ b5 b;;a list of lists,由trade-record-one组成
: e( C% b) ]3 Jtrade-record-one
: k; k& _# o3 z: b. h;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录& e0 O1 j' C! M# q p, A% S2 q6 j! a
# ^+ I! T9 S: g. t( Q" v& m4 }
;;[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 y5 u0 Y8 c8 z$ z. k$ `
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]
$ u- b4 \- G3 pcredibility-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
@8 q% {+ [. r; Q4 m; Mneighbor-total
* l8 h& e# r# ?;;记录该turtle的邻居节点的数目
: e0 _( T4 B8 t( P/ Etrade-time
# g6 I& r8 u/ s5 m" Z;;当前发生交易的turtle的交易时间- b- o( t/ [' |3 _2 a
appraise-give
5 q0 T' O5 P! T! H6 j' p;;当前发生交易时给出的评价2 x& c9 H, p. F% S9 c) c. y
appraise-receive
- F$ r. z2 H* W- o9 C;;当前发生交易时收到的评价
" ]0 D9 l. @8 o9 Z: S3 u1 Y) j3 b6 l/ N7 lappraise-time
( U+ z' [- B0 };;当前发生交易时的评价时间9 b& S+ K, ]+ U3 v9 N$ K
local-reputation-now;;此次交易后相对于对方turtle的局部声誉/ {0 m0 H" E* E) j; O2 I
trade-times-total
7 o/ j' E* S, X; N, T5 @;;与当前turtle的交易总次数- q& s0 z( j8 u
trade-money-total0 G6 Q- h, `, s; _' }
;;与当前turtle的交易总金额
H, ~& l$ M1 C+ q2 @6 w4 Qlocal-reputation/ F) Q3 x2 ^' t. K. v5 F7 \
global-reputation: L0 [7 E U. T2 N! O
credibility- k: u5 `9 ?, o" I8 c
;;评价可信度,每次交易后都需要更新
6 L+ z# w- B0 O" z1 P+ \1 `* i! Ucredibility-all
5 u) Z2 Z5 B/ g7 o;;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
& P8 {; H0 c6 ~2 X
' j. }" M7 M' _( y7 H# W! 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
; K. |% O3 \6 v: H7 ?( Ecredibility-one L+ V8 ]- h* V% ~0 Z
;;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 Q ?' R# w( h; l4 {global-proportion
: q' p: r$ N2 c7 mcustomer
) _$ X8 q+ N) wcustomer-no
, l! ^; B7 n. S, Ntrust-ok
$ S$ P& t0 T4 g+ z6 M7 M& Gtrade-record-one-len;;trade-record-one的长度3 P) _) n- b2 `2 i5 W- _7 @4 n
]
; `: z: a9 v% @% v- D3 ?
+ C9 l8 ] F5 F: w9 |( X6 I;;setup procedure r. H7 ^0 A7 R
* G2 n. e$ |& Q( M0 Yto setup
3 t% R9 g) o7 B; A* h' P0 z, D% N4 u+ l5 ]) Y d5 J" R
ca- h* C% f1 ~1 ~, z: }8 m7 V
% g2 H6 v) m% G; g1 _4 W3 C
initialize-settings
& W! K, V" }( u; \
$ u9 o* u) B% G8 ?$ Bcrt people [setup-turtles]
$ j# _# {! C# Q6 G6 u- t
0 g& i6 Z7 a7 N, h- Mreset-timer
; W' I7 J( X9 o( V, p/ t* M9 {9 m, [6 U/ L) ~3 t& o! V
poll-class
0 e8 X! N+ m- Q% b1 X& a; {
4 x1 C8 z( z& Asetup-plots
: _. o5 u' F1 g' v; E, M, Z& h4 T- B
do-plots \! G3 M/ V; w; t i) U/ c$ }* P, U
end4 h8 @, H6 O3 S. U7 D% j: x( c
6 C z5 U/ Z3 m: y. a4 }
to initialize-settings
: A q; `+ \* g- j! U
% w7 Y$ i+ j( x4 fset global-reputation-list []8 h, f0 b' H6 G4 B( T
" j: m$ b4 Y ]. u! b5 u
set credibility-list n-values people [0.5]
* ?7 v% C6 D1 [
) U# k, N3 }, _/ a6 q/ qset honest-service 0
8 n' N3 |0 a+ a7 a: `1 [4 y
( ~3 A, r6 Y. `" L5 d" [: ~4 wset unhonest-service 0
c2 _' h& q4 N, {2 V1 r* q0 Z7 ?; g- X9 }/ w% N5 B
set oscillation 09 v) k3 h! Y" {0 \
# u/ f* y& J8 i' v3 z( kset rand-dynamic 0
6 o3 G6 T* R3 B. yend
- A2 V9 X& c' t! m0 N
8 t2 {" M. f$ N" R1 w5 f& ^( k) nto setup-turtles . q {7 X1 n: [! x( h
set shape "person"
$ G( V5 u9 b0 h% X& J, S Rsetxy random-xcor random-ycor
. S: @% b! ~, q7 }set trade-record-one []
$ F8 l+ G. B" U/ y
# E- |+ j0 Q% M: Lset trade-record-all n-values people [(list (? + 1) 0 0)]
1 y4 {8 g9 T( F, M4 p- C: h* I" y9 _! L, x1 y/ \& p
set trade-record-current []
) m% b0 t, d5 Uset credibility-receive []2 {3 ~# Z% a9 x% ?: m! |
set local-reputation 0.5
/ C$ X( E# o+ k5 |. zset neighbor-total 0
' M: K" ?! g* c3 L" j9 x0 N! wset trade-times-total 0
7 `( p8 V# }7 Y9 mset trade-money-total 0
1 y0 ?! j0 p9 S! q0 a: n' {set customer nobody$ m3 |4 Z7 B; P4 e& n
set credibility-all n-values people [creat-credibility]9 L" u* y n& [1 z: w
set credibility n-values people [-1]
2 U5 ~! ?6 w. u9 Oget-color& H0 N* m& \" h
( |1 j+ B0 b2 Dend
) w+ y, B' P% U% g, K9 k# `6 p+ e4 ?
to-report creat-credibility
. p9 e7 {/ U; Creport n-values people [0.5]
& B3 P' I1 S- g9 c( cend( F$ j8 t5 S' K; w8 j& V
& b7 m. G% |' S3 x# J
to setup-plots: F8 B. }5 B& ?4 f0 I) z& C! I
7 J" y/ n( _" y3 N3 B {set xmax 30$ @% `0 U) @9 \8 i+ p9 q5 W
. t$ g; Q* v! C. d- f
set ymax 1.0
, w# S) Y% v1 _' k! ~, h6 B2 Q) x( u) S
4 D# x* Z9 n" }6 kclear-all-plots8 Q7 X5 t: Z1 ^" l0 P8 K" E; }
: f2 o7 N" l6 c9 a+ g) `" u
setup-plot10 X7 K: r3 W$ D9 _1 I4 S
- }5 s8 B; I$ B) ~% u1 [( Msetup-plot2& m3 a# e2 Y; j b
% o v! {2 ~) Q! k4 d/ g# isetup-plot3% A; c) e# I A# e1 F, B1 R" R
end
9 S& r% P" n( P) K. }( @9 N8 k) l q0 v- s% z: ?) F
;;run time procedures" O& g; q" l6 G; S
], O5 j) \% ]9 D' n7 Oto go: ~. J& G$ {, Y; V5 w% L
, [2 y% T. T6 o/ ?/ D
ask turtles [do-business]
! y' ]5 `4 R" x: hend& w; z" e$ }$ t$ V3 |: M- g- d
$ z& ?! V4 B& Rto do-business 4 s T, _: ?! B) R) Y4 H
: J; H. N: q1 Q e# H, a
, L" m$ Z0 _4 p0 x, T* i* qrt random 3604 I/ d G8 u5 X2 R& J
6 r. s/ W4 V( n+ E) L M! s
fd 1
- p3 I# R: }. L, v
: O* S6 }! ?4 t6 Yifelse(other turtles-here != nobody)[
# \- F( e+ W" v- N# U" J5 ]) S2 u' a- i, D$ E( |' v
set customer one-of other turtles-here* N0 h# Y1 K8 s% `
' z. {4 v* e# Q' J% B- V" g6 y1 Y
;; set [customer] of customer myself4 v2 @# j& D1 f& h* I
- b/ I/ ?: H* ]set [trade-record-one] of self item (([who] of customer) - 1)+ A3 d, J$ G: y5 D' Z% u. J
[trade-record-all]of self
$ U0 q0 y% _+ O5 f;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self6 |9 J+ `/ A4 Q" u' Y; ?- N2 K! x
5 h- \# A$ h1 d ~2 w9 U9 ~5 @set [trade-record-one] of customer item (([who] of self) - 1) i2 A: G( d" k. m
[trade-record-all]of customer/ i, x* v8 [$ X
n) M6 ~) p3 D5 H- e: bset [trade-record-one-len] of self length [trade-record-one] of self2 x3 e* e, i4 l) @1 ~
* Y) c4 T3 o! o2 n. t) R: ~
set trade-record-current( list (timer) (random money-upper-limit))' q: {7 P1 g9 n% @% U- q4 z. u* r
- t; F6 R. j8 `' k/ T4 s. cask self [do-trust]$ C( Z. D- G& U, M5 G
;;先求i对j的信任度( a. l5 W" z; C/ @
: J: g! |% v5 Cif ([trust-ok] of self)
$ y `8 Y) J: h) U* i;;根据i对j的信任度来决定是否与j进行交易[
% t5 r0 r3 H& ]; w. gask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
$ n7 N! Y6 V) q$ [: |' \0 n- f2 ]) ]. e& ` M# h
[
# M7 M# j# \0 A& Z: I; T
# x8 K* h0 G* K' J; E6 fdo-trade
( ], t6 K6 B* n- k2 m
9 h0 f, Q x$ qupdate-credibility-ijl
/ k# J# p2 O8 G. m- B- T, M; `. o; W1 r4 N4 C. @
update-credibility-list y- O) U4 l! d
+ l0 I' V/ v( U5 L# Q- D$ Q
0 b2 U# l9 L, u4 m0 ^; ?update-global-reputation-list0 W4 P. v: B4 J. s6 c0 K: \
& w% j1 S/ I- w$ npoll-class
) @+ ?. E' Q6 n9 V0 b6 y% b) Z% A: S4 i6 D8 ]8 m
get-color j& L& M2 Y( A, v9 ^3 O( u
7 D2 V/ e/ P3 @6 s0 E]]5 g( y) r+ m& y& e- C. b
$ H! X3 n8 D# N% v;;如果所得的信任度满足条件,则进行交易
8 D3 S9 ]/ t& f2 k2 R1 Y
9 }# p3 [# e( W8 K h& J! S; O3 i* R[1 k4 z4 E) J4 p% i, C
, L$ b7 E* J- `8 W) nrt random 360
! z9 O7 b! I" s4 M! Z- \4 @4 j5 r7 l5 L" T4 d, X" ?
fd 1
! i+ `& c' ?2 V, q, U; j( E" e# E" D) u c8 ~9 G
]0 S/ E: n) h1 V8 Q- l- ?/ U
" r1 f! j& ^+ n- U8 G6 m
end3 Y8 ]. h3 K5 q. R; w( ]! I
! ^* g4 P/ p" N1 n5 G' O; I
to do-trust & m6 ?. J* }0 l. d
set trust-ok False3 i2 ^( d" _' c# y5 [ u' X1 C
7 ~9 N V j7 b% B8 L7 ~ l/ C$ I
9 ~2 T/ @5 [3 E; H: F$ ]$ Rlet max-trade-times 0
. c. ]$ D9 q# d5 z/ g+ lforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
w, v6 c% b. z2 J/ T9 ~let max-trade-money 00 N3 ~& T3 _9 {8 k, c/ E
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]$ B3 `* c. t8 L( C8 b- e: l0 s! B
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))9 o% v/ t- n2 Q, U! f% z
, n! e: C+ P v' ~- E$ v ^/ B. i
, J! J$ F6 @' O; Bget-global-proportion
+ K2 d/ w0 d: ]5 I8 Slet trust-value2 T3 x B" s( F! v
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)
2 J& s/ S# A. b8 kif(trust-value > trade-trust-value)# C4 |4 P) I0 S g4 {
[set trust-ok true]6 b" y3 p0 {3 A
end
* [. p- t0 z7 u- @5 Q$ J& d: }2 ?* S
to get-global-proportion; q/ c& r x& m2 F7 C5 T; F
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
9 [5 @0 L& Y. t) U' w$ V[set global-proportion 0]* e: x9 l1 ^: j* M) j
[let i 04 Q: }6 [* }3 a! \# o5 C
let sum-money 0) P) j, H' Q% z0 G5 d! H
while[ i < people]1 ~" x5 [9 J0 `) k
[" M/ ]0 f5 g' e$ A5 e9 U
if( length (item i
% H9 g% n' g4 I( Z[trade-record-all] of customer) > 3 )
! F" Z# Z+ f4 G- v/ @& a[
8 Z& }# @ ^- T3 uset sum-money (sum-money + item 2(item i [trade-record-all] of myself))* l% U) C" w9 q7 l, s
]/ g4 b& @) I4 V6 q
]5 h p% Y, A" A! M
let j 0/ }) m1 `, Q4 N& q
let note 0
4 E6 x3 _ q5 e- Zwhile[ j < people]
* f6 V4 W4 y* |5 i( z[, v4 a" Y% ~: E; K
if( length (item i
" s, c$ D( |7 V$ ^- O2 \[trade-record-all] of customer) > 3 )
3 E6 n. [. ~/ Y, |' q[4 C/ i! I! Q$ S- n( _) S
ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
: M G4 \7 c, t2 K' d3 G0 y5 q[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]2 R8 c; v" I2 ` s* a4 Q% E
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
3 E0 @0 z1 E0 i5 ~# U* w]* u' {( o E+ M% [. x" u+ k
]; U+ V6 k& X M. s3 n
set global-proportion note
3 g! j3 e4 t* D/ }. I]
, k; S% B4 n: B9 D0 kend4 E' e3 Z! E/ `2 Z! c
, o' L8 I' @, r' S, ~) ]
to do-trade
5 M y7 C/ k: V y;;这个过程实际上是给双方作出评价的过程' _7 p# }7 u- G: V* x
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价) s" t& m1 q5 h9 l y5 J
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价" b, h3 O u+ F# [" y: t( ]
set trade-record-current lput(timer) trade-record-current
- K6 {$ y7 q* g I9 W" J;;评价时间* B, E# R; v( o7 M2 C
ask myself [9 @( [+ y6 _0 t9 q7 T
update-local-reputation2 E T4 M. M$ P. w; ~ E0 D
set trade-record-current lput([local-reputation] of myself) trade-record-current
3 I' z6 f3 m9 O]
7 B# g3 Q6 m( a- s4 Cset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself8 J6 [9 W$ |8 w8 v
;;将此次交易的记录加入到trade-record-one中8 ?/ L2 P) T* N& I
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
# ]2 F6 O( v5 h. _; T7 l G" V5 ~) s% O0 Wlet note (item 2 trade-record-current )5 K# M8 M4 m! V
set trade-record-current/ d9 s- A$ w* |8 v- P
(replace-item 2 trade-record-current (item 3 trade-record-current))
, O+ H, m! p& z1 b6 _4 Vset trade-record-current
% i2 F+ _4 h; H5 o" O(replace-item 3 trade-record-current note)
: o, I0 H7 k9 Q4 N; R
" X- e) Y. ^2 [% `
% A' m- s5 C: {" W9 Lask customer [- D& y% ^* @0 ^' u
update-local-reputation
- T y/ m2 Y( Y4 Lset trade-record-current
2 J& n" G* y; Z8 a/ _/ M/ j$ F(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) ! R, ?8 a9 j: c9 q/ X K
]6 |0 {( P; ]7 n4 c9 A
8 @! a4 y& u& a: z1 D% q: p
- [( N6 h( C! f% I& M# [; lset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer; h. k/ C0 @' u, Y1 J: P
/ s. U" y$ U+ o3 F& P; {set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer)); j# j1 _; M6 s. f! A: c, U7 ^
;;将此次交易的记录加入到customer的trade-record-all中2 x' T) |8 g7 w+ h n- z% y
end# ^: C/ d6 S" p8 U. z- M8 C3 n3 _' x
# v" {4 a" X* E, n1 v
to update-local-reputation
% }. X. M4 j4 A5 [2 ]set [trade-record-one-len] of myself length [trade-record-one] of myself
" S6 @8 E% a; L L6 h) v% ]- Q! ]) _7 Y. E( `: R
2 u; L1 K r' G' E1 l `* R% W
;;if [trade-record-one-len] of myself > 3
4 s2 a1 u j) U( ~- A# W: R9 eupdate-neighbor-total3 B/ B- f0 c7 [
;;更新邻居节点的数目,在此进行
" b* y( D \0 Slet i 3
* o7 e% _& T/ u/ dlet sum-time 0
/ Y l( ]- A. B6 Vwhile[i < [trade-record-one-len] of myself]
3 `" D7 z8 p& m! A8 y[
# O7 g; Q& ~. y: \& Y* f s; }0 yset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )) q! r c; C7 h+ d
set i% X ~0 |1 n8 L
( i + 1); e$ q# q; o) Q) V' N
]1 n) |6 Y: d0 P4 z' D; R
let j 3/ }" `/ R7 V8 w1 ?4 p1 ?, P' s
let sum-money 0
}! i5 c i6 Jwhile[j < [trade-record-one-len] of myself] O# k. g) q! I9 @- ~ Y, K
[
/ u9 X" a3 z1 G) [( F( Lset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time). }* h) m6 M5 _7 r) m% Z5 u0 k
set j( E8 A9 N5 y- ]
( j + 1)
$ G, K u" M" P, o) y2 v7 d1 J]
& U: u+ f# f# A! I+ D" clet k 3
) P0 j9 o) b+ O9 V6 s8 Vlet power 0
/ ^) E1 c! {/ u3 ]) `, g+ P8 ]let local 0
2 z+ F E* S/ N$ F4 g8 Kwhile [k <[trade-record-one-len] of myself]
7 k; }9 s5 ~/ y: y8 [$ k[
8 g: Z3 U1 T4 G; d2 R7 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)
, M" L/ i8 T1 C. Mset k (k + 1)
5 x" z2 [7 N4 k) i& \6 m+ n# F]& H# a4 G% U' \& t
set [local-reputation] of myself (local)
6 H+ M! J, z' Oend" }& E$ u1 i. }- [2 z; c, s1 i
7 y; D0 b( }6 J- f
to update-neighbor-total @; ]6 v2 P% x. L( w9 d
& f8 P1 }- s6 U# R; U
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ], m; e. j, ]1 s0 a) P0 ?; v
* c; W3 O- b: A3 }* R, d9 @
" R: z- U) j( O6 \/ [# hend
. H+ ]% ^, I" s1 x) S" ?" E1 p5 x9 D6 C8 O* Y) R! u
to update-credibility-ijl 7 B. X% B5 T; z0 u
# w9 h9 q' `, K+ j5 ^* f
;;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。7 Z3 S8 N( p, e1 Z* K% |9 ]( a8 ^
let l 0
( r$ L5 b; g3 n5 T) Q# z2 Swhile[ l < people ]
2 E1 @6 M' w! u& k5 r0 j7 b. 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. k! {& l. |/ U; I; \ W) {2 e
[' E- a( q9 a7 E$ E
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)
$ {, @3 m0 ]7 {7 E7 f3 U" [if (trade-record-one-j-l-len > 3)2 r% Z1 f u0 r/ ^% U) g
[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. u3 H- h" B% v! }; P
let i 3
3 Y/ Z( Z& j2 C4 z9 x: Xlet sum-time 06 O% _$ q6 }8 R5 W
while[i < trade-record-one-len]# c) N. `) i% n. ~/ F3 f9 X( n
[
) _! m, O( C( m' I% \2 Bset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
9 ]3 J) ?; j! m/ e. }" Oset i6 W3 a/ d; X9 @0 `/ S- Z
( i + 1)0 v$ p7 A, {: J5 l: H4 F! v
]
9 a \0 N. F4 E ?9 jlet credibility-i-j-l 07 U) h7 a( P' Q% e6 |: G
;;i评价(j对jl的评价)- [# I8 n' |. ?0 f2 P. o. W
let j 39 t: x3 l( b+ p s
let k 4
/ W! ? ~* V9 Z/ I/ D `) Kwhile[j < trade-record-one-len], O8 y/ n* S1 o9 ^ H
[' o0 I; T; \9 r0 M8 ?
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
. d6 } z. {/ g1 h" q" w$ lset 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)) h7 {6 w. s( `- S3 f
set j# g8 s+ @; k0 C6 y" z
( j + 1)
" ]" i% l- F, H8 a$ R]
" m0 j; ]9 W+ |% Kset [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 ))
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2 j" u ^" w9 e1 r. Z x. O
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
5 l ?# C! E9 t" q; n;;及时更新i对l的评价质量的评价/ d* x) X/ H: v: m! n
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
/ \+ P: f' {, U, I3 p% i fset l (l + 1)
3 ~4 ~; r) ]$ ?$ N( T( ~]
) L2 {4 i; V6 H" eend
: m. o- L2 u3 t: ?7 Z! `, p& P$ J0 r/ @' L. d/ f5 T l( `
to update-credibility-list
6 Z3 {/ _! r3 Z6 D, z, k+ Ylet i 0& \1 S" D5 H- S/ ]) w
while[i < people]
" v; k/ N5 y' z2 @5 V8 l J[1 ]8 H! o _# ^% G
let j 0, Z/ h, C2 E" N* r- Q8 W' }
let note 0- r, Y/ w6 c. @
let k 0! g$ X* C2 `$ R2 q! f
;;计作出过评价的邻居节点的数目/ }) t; _. z0 r( j0 R0 y9 l
while[j < people]
& h/ w( W) v. v; h[
2 ]2 v5 ]- s0 e# z# ^5 pif (item j( [credibility] of turtle (i + 1)) != -1)
9 ]. d; Y0 `, h/ d0 Z;;判断是否给本turtle的评价质量做出过评价的节点' Z! d/ `! R. W% f
[set note (note + item j ([credibility]of turtle (i + 1)))! i0 S& Z7 o1 q& F+ ?
;;*(exp (-(people - 2)))/(people - 2))]
0 y$ I' b; c+ z. ]8 aset k (k + 1)% }* \- K# ` \
]% C2 K! B$ c/ L8 d4 [) F/ D8 N
set j (j + 1)6 `2 G/ \3 [, W* X# W. Y3 e) L) {
]: K; U' D4 K' y x
set note (note *(exp (- (1 / k)))/ k)7 {3 u8 i3 v4 x9 P
set credibility-list (replace-item i credibility-list note). t8 P t( M& E9 O4 z" @5 _; e
set i (i + 1)
+ l' k+ {2 U3 _% K, `2 o* C]
) t3 x/ m. B, Q6 K/ k/ F" [& p3 }end
+ Y9 Z9 @+ w! r; ` j9 o5 ^* X8 D1 H" g/ W: E. ~9 ~1 I
to update-global-reputation-list
1 k3 S7 M4 l" S; D p$ vlet j 08 F7 V/ K+ t1 k# Q, [. M
while[j < people]
0 {/ V% m9 G9 w* ~[( b( A9 @- h2 X2 I* Z: P
let new 09 c/ n/ m! F2 s
;;暂存新的一个全局声誉5 a9 g* f% ]% n; o( N
let i 0& i* w+ T+ g0 {* O% Y( z
let sum-money 0
$ @" ^1 Q/ Y% F: M+ z2 ulet credibility-money 0! h$ j$ z; |' y% v' m
while [i < people]* ]- ]% b' [+ J' B3 O+ g, n7 ]
[* `( i6 ?% P N$ a- M
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))9 m* |% m) j g9 w7 W- {* H/ ]
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))" I0 c* ^. Q5 g
set i (i + 1)3 i l0 [2 P$ L
]2 F9 J$ A/ Q |# T' K
let k 0
$ m! Z* A) J* p( e) ]let new1 08 p9 S/ n. {- v' H, O+ ]6 C/ h7 r M
while [k < people]
7 x( ]* {7 }8 z8 r[1 v: j- R8 b1 c3 [; F4 D: \
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), g1 `1 d, \# W0 Q- I8 c# t* D; ?
set k (k + 1)- ?4 I9 h: u+ C( o3 w# n
]6 |+ t$ v B7 r$ z, |! Y
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 9 L* z5 [' m5 ?' b
set global-reputation-list (replace-item j global-reputation-list new)
& n5 g" l; W Z) K( H" _9 W5 [+ Zset j (j + 1)
) o7 c; ^7 d+ x. H n! u]4 i) u! H# t# A$ Y% D
end
7 I& d0 R8 A4 w q/ g0 X0 ^/ ]8 s1 h
- W8 |' u& I* t( ?4 {$ C; T' \5 S# x& S' ]" S
! E3 ~7 C' W; W J0 G6 Jto get-color
: y% C2 j% Z' L1 G$ ?3 i/ X4 J, r8 I& W/ G/ c, W4 b. O: d
set color blue
4 C- y; u8 e8 s. J: B0 _end& |. l" B) n; x6 q2 o6 ^8 }. K; f! z
0 c7 Y' I/ W8 v- } z; \8 u
to poll-class( [# L+ \ u( B
end2 d/ V2 Y9 W# N, Y1 ?* V: S
5 E$ L7 K& p, j
to setup-plot14 O+ u' c, h2 C( O8 G3 T
; M4 }) o% f9 G7 {set-current-plot "Trends-of-Local-reputation"5 _% P3 w3 V1 D- ?6 q
% n4 F/ K7 F0 S/ _& m2 D
set-plot-x-range 0 xmax
* Z" H% l) f6 D5 H& N' w
p7 {3 U4 r7 h4 G; a* r. j, h7 [2 D& W- x" nset-plot-y-range 0.0 ymax
9 [- x" D" |# e5 Qend
/ W8 d" Q6 s2 Z# q/ O: b4 s. I
4 g1 N0 E5 z, U4 A! k6 ato setup-plot2
' y: I. n. y3 u0 @ H3 u0 g* \. J8 I/ N* N: H. f* Y
set-current-plot "Trends-of-global-reputation"
, J& G$ x) \1 c0 W# S) x# ~3 @2 b% G% s4 ^' W" g `# ]
set-plot-x-range 0 xmax
+ B& @8 r' |: w7 h8 z0 \# Z. v$ m9 o' C: R
set-plot-y-range 0.0 ymax8 Q9 {; Y7 l! |) ]# a4 R! a
end P; K- u' I7 n6 Q6 a
/ z9 E2 {. @" e8 g( Dto setup-plot3
7 l t& A* ]3 C' X9 G, c0 G& Q7 E% W, k5 u2 c7 |9 {
set-current-plot "Trends-of-credibility"6 T( G/ A7 Z9 M) E' B0 s/ p$ z
1 k0 b2 _1 t3 s
set-plot-x-range 0 xmax
$ u' W1 \# ^- V4 }* \% m
: d7 G' X( _5 b7 Eset-plot-y-range 0.0 ymax
3 Z% p6 }- h8 u) A- J$ Nend
/ F$ v3 A& O# N. F+ ], ]8 N* j/ E2 m# T. w1 R
to do-plots
* U! b4 R+ Q9 u2 C! a! Z% V4 a( I7 m7 Oset-current-plot "Trends-of-Local-reputation"
# \5 U' }1 S( C9 V R: K) R8 ^. U% y9 Cset-current-plot-pen "Honest service"
' Z1 m9 c" m) i3 qend- c" e0 n7 }7 _' f ]
9 S7 U) X. u( d+ m[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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