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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* f4 L8 Z: U4 d) ]) S! Z
globals[% x f* W7 R5 ^" `2 F) g. K
xmax& e4 p* }) T( u- h" V( \% y2 N$ a
ymax0 r. o2 c! H; m% Y
global-reputation-list
1 C, @( e0 ?) V6 K0 R
7 q9 }0 j* c& g {# T! {# U;;每一个turtle的全局声誉都存在此LIST中7 p d. _5 L( A* w3 @
credibility-list
3 v. g( K; J" L4 X7 C;;每一个turtle的评价可信度
- Q8 Y7 \- R7 {. F" lhonest-service5 }$ Y4 K- N# A) k- N% Y8 h1 i) g
unhonest-service, M+ a: C+ w7 D5 X
oscillation
1 }# C+ K( Y! q: mrand-dynamic- k0 ~/ l9 E2 K o
] m! i2 x: s9 Y
# n; ?2 y3 T6 S5 I! Vturtles-own[
% \" \% I. z* o$ A) a8 [trade-record-all( C; n. S L/ Q2 G, q; c5 Z( i
;;a list of lists,由trade-record-one组成' y9 R6 [- S4 s; h2 P- y# G
trade-record-one1 e+ u6 p# d {/ r0 i
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录6 N Q) U" K8 [3 x* x
5 H0 y9 O' l3 e$ E5 X2 Q+ j;;[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]]
. e" S# X, a9 h; A) p# Jtrade-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]
! b. C, s; I: q# k0 ecredibility-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
& o% a8 R1 s3 i+ g9 Nneighbor-total6 N9 X( z2 s; E
;;记录该turtle的邻居节点的数目% K) N! `3 u+ T
trade-time# I& ?, ?+ F2 H& O/ y
;;当前发生交易的turtle的交易时间' a) E' A; z2 o( \/ f
appraise-give- ]1 ^* K- j; X, h, G: a0 k3 L" v
;;当前发生交易时给出的评价! ]7 t) N7 ~( ~8 `. U; _
appraise-receive2 W0 Q# m {1 r! F+ n
;;当前发生交易时收到的评价
: e4 X5 l; [: @% M+ G# H) I# V( ]appraise-time
$ w( A5 R) H$ M8 v3 s;;当前发生交易时的评价时间
/ T" _% j1 O wlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉
; O$ v6 H& R8 I% Strade-times-total
' T. L, J6 t! Y. n;;与当前turtle的交易总次数
7 y+ a% r& P9 y7 q1 ktrade-money-total5 G& G/ \1 l: S# W) i
;;与当前turtle的交易总金额# \2 p* C) Y" Y: T0 t
local-reputation
- g" K3 @- N- q- [# A' Xglobal-reputation7 v/ o3 ?1 b. t5 h* u- @) i" O
credibility
/ o4 t3 _' f2 P/ ^: e;;评价可信度,每次交易后都需要更新! ~- F/ U6 P1 B* C2 _+ y+ l. V
credibility-all5 w+ Q) k5 l# Y2 W Z4 _
;;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) Y( z# q7 F/ q) [5 c" S
" x4 B, 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
, ?9 x" Z$ o# E) y- s. gcredibility-one9 V: y# p2 w( w5 u" ~# B
;;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- G, H) P1 ~2 A$ \2 y
global-proportion
9 _ v" _- p* M0 `/ lcustomer( U& Z7 L0 x3 h5 T" n% z% L$ D' M
customer-no
5 f0 G: Q! M1 g1 w3 J! X2 ztrust-ok
; k: v. M2 I; k7 q2 t& l5 Itrade-record-one-len;;trade-record-one的长度, M# k6 H7 Z5 o0 P4 Z
]& e" ~/ K1 e# n0 V9 A! y: H# o4 u
) `+ h6 G. j; P
;;setup procedure
! X) v" y/ b, } d3 }' t# N/ k2 d7 r- e* ~* l9 ~
to setup
% M4 \6 r! u6 ?. A! t/ u9 M7 C% @0 d3 O! v& p/ A: B
ca% T8 B4 D2 }& V: Y3 ~! d
/ U0 Q! @3 u% H* s) E* u! ~4 @
initialize-settings
) |* ~6 S3 p" z Z9 l
- a) b1 ?& `6 i/ G+ N6 d% kcrt people [setup-turtles]
5 z2 n6 J1 h/ w! T; F, C- r
& r4 I, J5 K0 zreset-timer$ `, [& f! J9 |2 y7 x
5 H5 v- y) Y: Upoll-class
0 ?1 [ f2 g- [
! h: ~' ~/ u& h0 X* ]$ M/ d- Esetup-plots0 O) H8 t$ v, @# `4 `' p+ @2 V
3 s: x- _- J6 g8 r6 e% i
do-plots% q$ v X( K# W( z {9 h
end5 e2 a0 S3 j& v( n+ M; N5 m! x
/ H. K# n5 @: O2 Fto initialize-settings: ? O1 q7 T _; ~1 O
$ T, G9 s. m% \* k, x- b! Sset global-reputation-list []3 x! _$ S( Z0 y$ _0 h) W$ q
2 b; p) ^6 `. N0 D7 Aset credibility-list n-values people [0.5]# W; W2 c" \2 _4 q9 ^; e3 H
# k. s3 V% y, E1 Z# cset honest-service 0! v$ F$ V8 \( b+ a* z) a" @3 F
8 u, a# S- A9 L3 e6 x, X9 l. {
set unhonest-service 09 F3 }! y; x, ^9 D) P
+ w/ @1 L6 v8 E o5 C) a6 mset oscillation 0
9 ~5 V! k% y4 b& s, h5 {, {5 d
. ]; `6 j' h( M1 ]& a+ tset rand-dynamic 0, {1 s5 N$ O V4 A( W
end2 W$ U' _1 _/ G2 R
4 d5 h# A3 h6 X- Vto setup-turtles + n7 d ^* ?/ s& \
set shape "person"
6 L' l7 u6 M% Z* Csetxy random-xcor random-ycor/ k: A! b3 |& x% G5 J9 Q" W, e
set trade-record-one []
) H% e( e+ U7 v5 S* X) a6 J0 n m" I w4 W' J& G1 H: Y% L
set trade-record-all n-values people [(list (? + 1) 0 0)] . T3 M0 x }8 o; Z4 w" B; a# m
2 h- C, Y; b+ z- k+ S
set trade-record-current []" \1 H. Y. H+ e, y9 R
set credibility-receive []7 P+ I' ]! p3 @! \ Q5 S: m, I
set local-reputation 0.58 H7 M6 F+ B& T# u* p
set neighbor-total 0
7 k5 T6 `% D' Yset trade-times-total 0
6 Z- O( B* e0 W# S: Z% fset trade-money-total 0! ~4 ^5 @) f# x5 u8 L$ @5 e
set customer nobody
0 S6 r/ X0 d8 J0 q3 U8 Z3 C Uset credibility-all n-values people [creat-credibility]7 M5 H% z; K3 ~/ ]% k, T$ ?% S
set credibility n-values people [-1]
/ y: a3 m& W8 {8 Bget-color
! y" M# B0 S+ d( N; ^0 c0 Z0 t& }* S- u6 [3 U9 c5 [
end
( X, }6 k: R* m" E! f
+ w [- a0 D7 Lto-report creat-credibility+ b, z0 R$ X# e" _
report n-values people [0.5]
3 M2 M7 {! {7 |/ O! ^* G3 ~' d9 [end% l- L! b% p. S$ l2 E. C/ H* ^. d" G
' k3 @- X, ^6 ]. `6 s4 U- v
to setup-plots
- M+ ~8 Y7 h/ s* q# ^8 L( B8 j" |" F {2 t' i$ Y
set xmax 303 g: M, \$ x6 Z
7 f0 g3 F& l/ q( tset ymax 1.0- L+ h G, r- T. y5 z9 F: X# W
- X1 J7 m/ q. @/ E& _- Z# _* @, F
clear-all-plots
; b t) g( z0 f& E
0 C; o7 i5 r {setup-plot1
* P0 v8 b- a7 h- L- u
' H5 k4 P( F/ @ }setup-plot2
# H5 B1 w! y8 L2 S# p) x/ p% Q+ H) W5 m# a4 q! T/ B8 o' T0 u/ C. l
setup-plot38 }: l1 u) H' u# v2 _5 ^
end
7 V2 w6 ^0 P# C. }, b, u$ ~# x: c8 ^9 \; n; r2 n6 b
;;run time procedures
" u7 Z/ R7 `6 t5 R, B x) G2 T9 z$ i
to go9 W! v7 X- _! c4 a1 }
, r& X! H* n2 u4 g2 b& Rask turtles [do-business]
2 N5 r/ d7 Z% e' J; U4 _end! z% U) C1 G8 \; }- A2 \+ J
. I: s$ @& x. ?$ N2 O& v4 b4 c) ~$ Uto do-business
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2 s! V, S& v& h7 B9 q, P
1 Q9 N4 _& P6 {# F' D- } drt random 360
$ X* ~* F) D8 y/ _- G' A; v+ N: @- m6 }& e. D
fd 1; ]( `6 j: y9 h0 X
" Q# c$ h* Y }9 _! U0 q
ifelse(other turtles-here != nobody)[, H, [3 u( w2 X0 @. v2 C: M
% B9 P, D: p+ i' R) u, b
set customer one-of other turtles-here
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;; set [customer] of customer myself, n& n* T4 `- S1 S/ B6 R; g
) @6 ?6 @* ]7 x" {. f0 f% V
set [trade-record-one] of self item (([who] of customer) - 1)9 u. T5 @. f# `5 H# J4 g" }
[trade-record-all]of self
$ v. L: `2 R" h! b( o. e;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
! ^! x( H; m9 \! H4 R. W
2 b' a K4 d% z e9 D0 Zset [trade-record-one] of customer item (([who] of self) - 1)5 `$ C0 N' K1 B" L+ v$ ?
[trade-record-all]of customer. m) z8 k1 T" f7 Q* i* V7 T
+ H+ c, i. {9 E9 R9 Y! V
set [trade-record-one-len] of self length [trade-record-one] of self! E: j: a+ x" i4 J; F8 g; B
4 D. N1 \- j3 Z, K! ^3 F" s
set trade-record-current( list (timer) (random money-upper-limit)). [, G/ D! C6 i }1 w
% ?) X4 h, x2 A/ a Z
ask self [do-trust]
2 a) n- `* j, o8 w0 _- v( D2 _;;先求i对j的信任度
# R7 U2 ?" x! f
8 p( }7 j0 s2 G7 {4 O; Cif ([trust-ok] of self)
4 U+ x" z% V* `;;根据i对j的信任度来决定是否与j进行交易[) W! O% t4 ~% m; \" L3 C
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself9 `, G G5 J! F% v: _
! \5 J- w$ k" P; X$ _[7 ?; Y: N$ `6 ?0 W
" G4 D. p+ J" [- l; ~. b! k
do-trade3 H. n/ m5 y& }: _* s6 h6 ]0 G9 D- I" g
+ I ~& k' F9 Q' r
update-credibility-ijl
* K. S2 Z9 z' D8 w" J* |5 W$ Z ?9 r. H0 M
update-credibility-list! H) p H7 r' ^% ?% F+ x
& Y4 ?* Z0 Y+ t- k9 A& Z
& }, t- e! S1 v0 v7 H, Bupdate-global-reputation-list
$ P y q# V% E1 s/ T- n& J" y' v% M- w5 ~7 X
poll-class7 B4 A1 H }2 w* L3 l
1 l5 D6 \+ B, b/ z
get-color5 d# H9 h6 L& X1 o& d$ k, W8 m% l/ `3 M( E
' _0 ?( D+ r7 [% f! |% M2 L]]
2 U3 z& j0 L0 ~) r- \1 r8 A2 i4 d% ]/ C* k/ }
;;如果所得的信任度满足条件,则进行交易
/ [4 o) I! o& X8 @$ a0 p* R6 t# ]2 |
[, J. X c+ [' g1 W7 K% _0 `
& G; }7 q3 J8 l, s; h
rt random 3608 Q$ l" c1 u3 H
) \ [/ N' n) ]4 c& b
fd 17 k# f* D6 b5 K8 Q7 h5 H7 t- t4 U
( l. R* B0 o+ D2 A, O4 P+ X; E- c]
2 c4 T: ~& ~+ p+ I+ o* L# l7 l
end0 p1 r; |% [" D* W# w
; \1 n9 V5 [" Wto do-trust ) L6 l% i7 x& _5 v( ~
set trust-ok False
: T, f! A( y5 f8 V9 i
/ ?7 R$ |$ A, y& ^8 J% C
. D) F% l# q2 J4 L/ elet max-trade-times 0
/ u- j* D' R4 c q6 L9 X6 Jforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
% `% v; ?4 ]) t# alet max-trade-money 0
" m- Z i8 w: P5 u8 x$ Yforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]0 b; J1 q6 c* B7 H# D0 j3 A
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
4 ~% e0 L% ?- D3 z' Q6 H# C: O7 B8 ]: j( |
7 z& V, h7 \6 p3 m/ B. r
get-global-proportion5 b3 }+ Y' q, I; G1 T
let trust-value
2 h; g1 @! v: h8 S# i6 ?! \7 j- Ulocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)1 \2 p) m, y# V& F
if(trust-value > trade-trust-value)
u" V* {2 y/ m8 n& W[set trust-ok true]) Q( R/ _3 s! ~6 ~+ e" l2 F
end
8 a I4 k" c) [; M% P! b4 D
* [: `" T3 L" v3 _to get-global-proportion
0 ]2 B& f" [+ g9 K8 \ P6 yifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3), r% T5 `6 s2 g8 x2 ~" G& E/ H6 e0 j
[set global-proportion 0]
9 c- T; d$ A1 g9 v) ][let i 0( v3 m1 H. D3 C& l, j# E* L; w5 e5 P
let sum-money 0
3 h2 W! c/ e( w7 twhile[ i < people]
0 A( ~/ s+ P2 C3 q[
4 u+ y# P \4 O0 E" Hif( length (item i7 O9 K6 a9 E- A9 A/ n( o+ @
[trade-record-all] of customer) > 3 )
$ n' ?$ A5 @. J( R[6 y3 h6 g; C* P' Q
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
6 c$ S4 h, g" |: z! i8 p4 I]7 v4 R% m! x4 j$ W
]7 }( I& P+ h# z7 J
let j 0
* M, D4 g- W- d, nlet note 0
. |! z5 W0 o4 D/ t. q6 m; H* Q; xwhile[ j < people]. ?7 j: T! j. u: u, Y/ W: f3 I
[
0 w% U% T4 N2 fif( length (item i
5 c$ c& r, M: p2 V8 L# R" m[trade-record-all] of customer) > 3 )
& F3 X3 ?; [) K0 W, w) _[
* R" l* j! ^5 Oifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
- a6 l# ^* v( a: G[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]+ H$ P0 N+ X z: S% a7 r; ?
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]/ X: k- V" V# b& q
]7 M6 S3 C N7 e# `% a" S" F
]: G# m' h' Q+ j0 h! @0 h
set global-proportion note
- j: @: g- ]+ H: N+ C2 X]
- r) n9 _. z7 W# y2 e, @3 Cend2 Y/ I8 ~( g. u" u
/ N1 W* z) A! R( P& ito do-trade
+ b, b. i$ M# o1 N8 _;;这个过程实际上是给双方作出评价的过程
- w( V6 I& w+ p) I6 q, oset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价! Z* g* U) D6 i/ c2 A
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
5 J$ _' n7 F" `' mset trade-record-current lput(timer) trade-record-current- Y4 v# t+ A+ S5 [. z; W; g
;;评价时间! {8 k/ y& K) x+ l4 o6 ]! H8 `' j4 w
ask myself [
+ n. v, ]/ S0 e9 Tupdate-local-reputation. x: X: Q/ q& X# A2 H* R1 h/ \. A2 v
set trade-record-current lput([local-reputation] of myself) trade-record-current4 M) H3 n0 b* z( G9 K* Y9 s
]
, |" G. {! ?2 @- Z3 |8 z$ m2 _, nset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
9 d& T3 b; k' r7 E" O0 x;;将此次交易的记录加入到trade-record-one中" n5 L; A( o( e( ? u
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
3 M6 C5 @! k0 nlet note (item 2 trade-record-current )4 A+ a( A* V' _: T }! r- S5 W
set trade-record-current
: g- S# `1 J# q) ~, I2 ~(replace-item 2 trade-record-current (item 3 trade-record-current))6 K) Z% r7 A9 r; d5 Y0 v8 j$ s8 F8 \
set trade-record-current) P7 R2 e, q, e5 t
(replace-item 3 trade-record-current note)( U4 g1 |( f1 d9 R% t" L
4 \) H; V- V% j+ Z
q# C# l& J" c; q2 v1 b1 d+ Q
ask customer [
4 G! y& C+ M, fupdate-local-reputation( _: n! c; ^# T" F
set trade-record-current
) h% a1 I3 f2 p( v+ N! E; \(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer)) . J) ~# y7 |) P$ a; g5 b
]
0 p- Q5 ?& G" O5 b/ |+ P
! U ? L: Z1 I7 n( k5 Y
! ?9 U ~, X) u0 k5 L; rset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer3 c9 t# _# @* P) N$ S" u
9 v" M# y( E! ^" ]# S
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
+ k' f, S9 Q R2 r6 d6 u v# j;;将此次交易的记录加入到customer的trade-record-all中% y) b& [8 d9 ]5 l& }; Y" I
end
% ^, g& U; j6 _* z# G) K8 E8 F( R! e( X. c" n* y- f
to update-local-reputation4 H# ^# ?( D+ A% m9 u0 S* ?. G
set [trade-record-one-len] of myself length [trade-record-one] of myself+ e5 Q% h" c: u; t3 C/ \
! ?4 a7 n( S) K0 x+ b) u$ M+ e
5 t% u' Q" x' H; l;;if [trade-record-one-len] of myself > 3 - J; }$ v$ L5 m5 v/ z1 D* f
update-neighbor-total; V0 d2 l( J2 T" S f- u) r
;;更新邻居节点的数目,在此进行- Y _+ V" w& V e4 ?) L
let i 3
8 [$ L3 q( H3 S0 C% V( Elet sum-time 0
& S. i9 m" T2 j& }+ ?while[i < [trade-record-one-len] of myself]
, c' ?9 O+ m# i- V" u+ b[4 n+ U2 p! H+ u ?& `
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )/ G; x: |+ T/ a% M
set i
% d- @1 _2 b( i- o3 d6 b( i + 1); c, h- o+ N! Q6 _# l3 W" S
]7 H# @& k/ x7 W$ {$ d# T. v& B
let j 3- s& _, P' ~) I2 R: z
let sum-money 0
: L g' J& a( W+ ~# Ewhile[j < [trade-record-one-len] of myself]
0 u9 U$ ]5 q! h+ z1 |[
& q. p: W, L8 _2 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)& j# }- M/ V0 s. Y2 c* X- X% N
set j
0 v1 n W& r6 }$ {4 d- V2 E" i( j + 1)
' ?2 \ W1 Z9 H/ r( e S) z]% E- g' i3 ?8 k
let k 3. E1 I+ i0 Q, k" l! T
let power 0) v# i- Y. Q! Y8 w5 `% `
let local 0
8 o5 D n' o3 T' f# o: wwhile [k <[trade-record-one-len] of myself]
$ m4 _ {" V6 ?/ G3 F[) `, Q& g" g5 \$ [
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)
) c5 j* c, n. ]0 I0 s# ?set k (k + 1)
& V( |8 [6 e6 H$ R- {* H& b' h/ i]( E7 n9 q9 s$ _1 D- h: c; }
set [local-reputation] of myself (local)
5 @; u2 p$ A! E% R4 @/ B+ `$ Tend
W. I* K6 D! R0 w: ]1 Q& J; q5 j. z( h9 F/ r) A
to update-neighbor-total/ E4 {( k; c& F3 z/ C5 ^3 j8 Y
* Q9 r3 @) q( `if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
# z: ?( Q' x7 o2 F2 D9 P8 C' u# E! E# Q0 L# t6 ?
; T4 C3 V/ B# r3 Yend
$ ~, p/ e1 @% u' c# S5 t% f9 ^$ p* L+ N3 O
to update-credibility-ijl
! {" d1 d: t9 J) k* q0 G; M: k) g5 c! S- P7 ~# G
;;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。% O7 n) }$ z9 O$ d4 u
let l 0
: X3 T( R. S: F" X! Lwhile[ l < people ]/ k& ?+ l; h9 v" d+ K o0 O5 b2 |
;;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' ~: l4 T# w6 f; d% t
[" r) w$ b0 e; ]# A
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)6 y8 \) `% _* \
if (trade-record-one-j-l-len > 3)
' h7 g! {0 t# X q% K[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
6 ?7 \+ x, W. a/ n% y }! Z5 alet i 3
t3 h# ]$ E$ _0 {) I4 f' vlet sum-time 0
9 a1 S }: m8 `8 J! Y" n% z h8 swhile[i < trade-record-one-len]
8 _0 ^! B% Q$ J1 Q! Z* Z[
, m* Q6 f+ p. Mset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) ). `5 a' O: @+ a$ K$ Y) D; r* W
set i
0 l- R* J5 V9 e; x9 U( i + 1)
1 b2 r4 R- g9 d1 J]+ b" W. G9 z1 Z% x v
let credibility-i-j-l 0/ ~ u1 d/ z I* e; ]# U
;;i评价(j对jl的评价)& L4 w: v; x/ d) L
let j 3' n; Z4 H1 v/ V3 n) d
let k 4+ V- g! u$ x# e+ X% e
while[j < trade-record-one-len]% a9 S" Z8 x' s8 ^6 G
[
( g9 N7 a6 x9 E8 Zwhile [((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, o. R) W7 d: p
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)- ]# Z& _; v+ E. s) X% e. E
set j' F- c F; s6 [9 i, S6 g( `
( j + 1)
$ T- }2 {# _4 S6 B- J8 w' c! s]
. d' K7 y" w) J. o5 Q9 \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 ))+ I* B& A# t8 _. R- F6 S: B
# X5 f* `% ]& k: k. e: }2 G
: |; i! Z6 t/ [7 flet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2)); P. m [9 k7 ^7 l% v
;;及时更新i对l的评价质量的评价
0 i/ T& n$ ~" t/ ?0 Nset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ], f4 l4 X3 \7 q% Z$ `3 Z
set l (l + 1)0 f, H" q R1 ~) w
]
7 l1 E# n- k& U* ~) f# ^end
# ^/ t& P8 w% H3 x2 z& O8 T
; s7 r" F6 x0 w+ [- |( j$ xto update-credibility-list
' F/ }# \" l: \3 z5 m$ F8 n% ?let i 0; U& x2 K1 p9 m" W1 q6 \: T
while[i < people]
6 |8 B, V; F! f# \9 o' d" z[
8 w( a; _, W( p- n3 H* Flet j 0
; z! o8 [2 i) z7 p3 T: j$ ilet note 0' B% b3 M$ o+ l, H5 t, s% G/ f. i
let k 0
. {' \0 Y. E/ x6 u6 S% ^0 I;;计作出过评价的邻居节点的数目- m2 g7 B, `9 D# z
while[j < people]' W4 C z; l- x# y8 e
[+ l, t$ T" z8 C7 T. [" H
if (item j( [credibility] of turtle (i + 1)) != -1)% V$ j8 Z2 T8 ?. B5 A( q/ s2 r
;;判断是否给本turtle的评价质量做出过评价的节点" h; ~0 B& d: a D7 W$ a; ]8 X
[set note (note + item j ([credibility]of turtle (i + 1)))! E8 y/ `6 k) m N3 A
;;*(exp (-(people - 2)))/(people - 2))]
' J$ `# k4 U: S, d: Wset k (k + 1): |% c+ a9 f; n
]
9 P6 v6 S) r' B& f$ X4 pset j (j + 1)2 \1 a+ A' {: X
]
4 V, S1 `4 P' Tset note (note *(exp (- (1 / k)))/ k)
8 f- }, B# @! X( g& T+ @( E$ bset credibility-list (replace-item i credibility-list note)* a* ^5 \- k! O- f' y. J' V/ m
set i (i + 1)
" q8 H' l/ j# g, c+ R]
" j# F; b+ ~! a9 R2 oend
; K0 G3 L% z, `, ~7 B: o0 F) r
M# _; \9 y: F; Nto update-global-reputation-list y; L1 |8 l6 ~
let j 0" Z4 |/ y* B! S) _4 h
while[j < people]
$ I" c8 h, }/ H: r[
" K8 f- O+ Y9 F) F: I; a* k- w, J% Qlet new 0
% Q5 P$ l5 k# n$ a;;暂存新的一个全局声誉
, ]. y8 }- |! m# |- plet i 0' L2 T# e4 n; b- H; d i l
let sum-money 0: f8 h6 h8 p# u/ c, G9 c
let credibility-money 0$ F4 G6 \, ~ [9 Z5 D& c" r
while [i < people]
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set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
% C7 C* J" y# J- T0 X& Y3 Uset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
# S: ^# A# I: X* Aset i (i + 1)
, ?2 r- m6 V4 Y]
! V" P, t6 B; d5 W7 `let k 0
: Q( ]# o$ N; v+ {; j. alet new1 03 m3 n1 Y. n- N* e
while [k < people]4 k( z. d8 h5 r+ x2 K3 M
[! q# X' D1 u0 m, B- s0 {
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)
# d' N: u; |# ]set k (k + 1)" g- J" G D0 a1 W* ]; Q0 W8 p
]) J W8 H: D& \& ]; I2 l
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 0 j% Y5 d3 M: o: d
set global-reputation-list (replace-item j global-reputation-list new)9 {8 I5 W5 R( t0 x& j
set j (j + 1)
3 }9 c# @" z& }]& P4 i2 l8 r' \
end
% d. J# y1 A/ h) K9 v# O& Z% [
$ Z6 I& S3 X% T! c D8 m* Q, t1 P) E
: W: s8 ?$ o8 Mto get-color
% k5 S' }3 J, m `' |' L$ ~. s k5 A2 @& C: I5 f
set color blue1 n% N: k/ B. I; E! B, |
end' h* V6 i7 X3 D L
2 V6 V$ e, c! z T+ } T: Nto poll-class
' K/ [9 Z* O8 H1 yend- e3 }/ \7 L$ t6 ?, Z4 s* K0 |+ i( |
# a8 B# b/ ^! z
to setup-plot1
' O: y* s' @3 _8 T" f/ Z) A
6 o7 o6 O. h5 V% {2 i/ Y. F8 mset-current-plot "Trends-of-Local-reputation"/ N& ~1 V5 s4 l
+ S7 t' f7 @0 ^* m$ Uset-plot-x-range 0 xmax* A) I. h0 \4 u8 O) ~ g& O t
" ]+ @- O$ k# k1 {
set-plot-y-range 0.0 ymax( r: ^- U, q6 W7 ~* x
end4 B7 n) @( h) c; Y: Y9 }2 Z
" q3 D! b `+ i6 P
to setup-plot22 A2 t) i) p; n" `! E
7 _) m; u# q! o+ N( b+ \! e$ J! I
set-current-plot "Trends-of-global-reputation"
' S% V* `, @; V' }* e8 s: j* @9 A
; O& c2 x+ w) C6 q: oset-plot-x-range 0 xmax* N) |7 v: o2 ^$ n f
$ r" w& \7 y) x$ W# @( D
set-plot-y-range 0.0 ymax
, H" {( B( M# w4 b. v9 xend
* m n$ c5 F4 w5 ^$ c" U8 X% K# C4 d& J4 H" k5 N4 x" E9 F
to setup-plot3) q+ j8 N6 Z0 a. y5 M; W
5 m2 j3 B$ Z5 V8 C$ W1 p: |set-current-plot "Trends-of-credibility"
/ h" p2 X3 N! w: m' a" l
5 q' b5 ~5 l! H& b1 _1 o$ E# Rset-plot-x-range 0 xmax
$ O9 }: j( O' k; R& j
# z' t: v* f- g3 n' P9 d5 ?* `2 F0 {set-plot-y-range 0.0 ymax1 z: J3 n5 _; _4 d) n
end' m4 Z5 z$ _9 R0 [
8 } f- ^! K$ v6 n. p* [, Q- Hto do-plots
4 |1 ]8 l( b* P, [1 F) xset-current-plot "Trends-of-Local-reputation"
& f5 H3 n# P& Y$ A' _" tset-current-plot-pen "Honest service"" ^# x8 [! s( @; I
end
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" e7 v1 h! u- D; q9 T[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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