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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, L+ G4 f8 S+ z/ u. N/ l# ]
globals[: E4 ^) Z4 s L m
xmax3 z+ {6 e. p, k1 t& y' j# c
ymax
" a1 T1 l `+ V' ?$ r. Eglobal-reputation-list
+ g8 [, w7 \0 s8 W4 a: S/ y: @) Q. K& f' E* t8 W
;;每一个turtle的全局声誉都存在此LIST中
- B7 Z$ W6 M5 z4 o3 S( i) {credibility-list3 T& e- e2 z- D, x, f$ ~
;;每一个turtle的评价可信度4 y) f+ H* z8 U& k
honest-service& \: d3 ?& z& d# P
unhonest-service
% k& [( Y: Y+ P) q+ h ~oscillation
$ a4 j/ F* O& ~ F) ^$ `9 srand-dynamic
; c# }3 w8 L/ d# l]
2 x# k: d$ N; E: v! O" j2 `
& h6 Y& ~, N, K8 {" y+ W( Iturtles-own[
# r( ]& }8 O, `& Ttrade-record-all
. o( `$ |1 J0 }- T! x5 {/ b; _;;a list of lists,由trade-record-one组成% K/ a( [5 ^( \' T! M
trade-record-one
; ]: [/ O% e2 W0 Z9 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
+ H3 A/ N/ @6 m) O- A' V# S# A6 X0 u+ Y
;;[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]]. V' `, {- X6 M: j0 b5 s$ C$ ~
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]4 j; h+ c3 d1 v
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. m, B) [- Q. O; P( h+ v
neighbor-total
) r" _7 V0 z# r7 k( b5 _; \;;记录该turtle的邻居节点的数目9 d+ h& |% u: Z9 F
trade-time; K8 u' u v4 P* y/ c/ S, c
;;当前发生交易的turtle的交易时间
( U% N0 y. w6 K, m' oappraise-give" k1 B: H4 `+ o, M2 d7 ^+ f; W
;;当前发生交易时给出的评价
& G# e* u# \- Tappraise-receive" t4 h6 q9 l$ b+ b
;;当前发生交易时收到的评价) E T5 i& X3 b& @6 e
appraise-time
) k9 f8 p1 ^5 i; w$ I1 e;;当前发生交易时的评价时间+ G' e; \( S# J; q+ F# |4 x
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
* K1 }) H0 p7 U5 |, Dtrade-times-total4 q, [7 j. s( H8 G! ?
;;与当前turtle的交易总次数
, @9 A D! {4 @ U% Ztrade-money-total
9 r& e, U9 \- v/ v' M) M;;与当前turtle的交易总金额* q3 g6 s8 l0 v" m
local-reputation8 Y4 H8 T! k- g- A- L b
global-reputation
' E# m% j- E# d3 Y" s0 ^credibility
' c l$ A( \% P+ l; X, I;;评价可信度,每次交易后都需要更新4 K; i8 J" c6 d ?3 [$ P
credibility-all
9 l6 Z" Q! k/ S$ l2 M: m7 |;;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
6 e0 Z( r. T" i( V! h+ X8 t- M0 O6 P& |& G
;;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& E" d) a8 x8 V3 b+ e: \
credibility-one- e. y4 N6 o0 a) A7 ?- Z6 E1 v3 s2 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
& z; G+ |; [) V% ~! Tglobal-proportion
4 R0 U1 i* i8 l9 N8 R; `customer0 }+ x3 M) I {6 x2 q% T& ?
customer-no
8 r& u( G5 d7 u8 i6 Z) w9 ]1 btrust-ok6 m+ h: d$ z( j6 H) b. y3 @0 S
trade-record-one-len;;trade-record-one的长度
6 w! g }+ P2 }+ O]! T7 X$ Z( r5 b. t2 z
9 I7 s4 @' a! J" L+ R+ C2 y
;;setup procedure x9 Y [2 a4 k* l- X8 s; Y
2 Z3 t( q" t" T+ ?) Gto setup
# R0 j$ x5 ?5 T9 ^6 F8 M2 M5 L
0 b3 l& r( i# U# s8 l) c |9 X2 o" q8 @8 Kca
% O7 ~5 ^+ O* H5 y) |' V8 P
^, _ E* `2 L1 a Cinitialize-settings( V- [: j1 V* h9 S$ J
" k/ E0 Q7 O2 E# Dcrt people [setup-turtles]! c+ m2 L0 P2 n I
, j' k# J n3 [- j3 i
reset-timer* g/ u" q7 c6 {. O
3 K# _* R( _, i! [5 j: L2 l6 q' x
poll-class
" j( p; b& ~5 X8 x: m, o5 [# z! w
setup-plots
) H2 Q/ t/ ?, {8 H) S) g
3 g m0 X5 [6 X- c1 Xdo-plots
0 W3 k! }5 h/ a2 H. Send
# G& O% D4 z9 c
1 x8 Q. @2 N( K3 ~7 T, g. h2 _to initialize-settings
8 u7 Z8 c% T" ?. r; q4 }: L! A
5 F9 m V4 k+ F% `set global-reputation-list []# m$ O3 q% F& q: | d
, Z$ n [# {; a: m
set credibility-list n-values people [0.5]- }+ R6 d; d- O% o7 z' d3 m# B
: @2 S ~+ P6 C
set honest-service 0
9 z- f- ^% v/ s3 i9 f: p% A$ t4 Z
set unhonest-service 0
8 v( p: i, l% {$ c5 A! b4 G* P1 n: a8 C/ f% [+ t
set oscillation 0- G! L: y f' h1 d8 n
_' T, |) l: S l4 {; K% aset rand-dynamic 02 L) z0 m+ V/ o
end
. G2 E2 ~0 b8 v2 j; a9 V/ ?
$ J8 i' ^# K; f! p+ Zto setup-turtles / @4 N) W" R ~. X. S8 `" I
set shape "person"
; ~4 Q! {4 o% @, j$ }1 Psetxy random-xcor random-ycor$ u' k; `2 M: E
set trade-record-one []7 k8 w+ Y1 N4 g9 _7 Q7 D/ O" g8 Y M
' L: n5 l: s/ z8 h; w3 ~$ \9 \
set trade-record-all n-values people [(list (? + 1) 0 0)] $ l% K& n* _; U' I* n
3 y2 A5 }' V/ B6 C2 x* o) H+ ^
set trade-record-current []
! @! e3 r9 ]5 n( Q. i: I% Sset credibility-receive []3 P% p2 Y+ F4 W1 a1 y
set local-reputation 0.5
4 Y8 H0 q2 }6 {5 x x! zset neighbor-total 0
0 d1 t7 [1 Z, a9 |+ y, Pset trade-times-total 09 _; g7 B) }7 _7 U
set trade-money-total 0
; o) m5 G/ i# o/ L& W2 `" Yset customer nobody3 P8 h: \! X2 h
set credibility-all n-values people [creat-credibility]4 i7 T0 r1 k5 P- j7 |# G3 h
set credibility n-values people [-1]0 p+ ^9 Z7 [" E* Q% P8 V4 A9 f
get-color6 z1 C- K d) F% | J. k
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end; u2 Y8 b8 B# a _* s
+ @' X# [' }0 f
to-report creat-credibility+ b. B7 ~0 z: B- L. }# Z6 b8 c! n
report n-values people [0.5]
- @- u1 r( M2 X6 ^end+ w, z& E! K& F8 s' L
0 {* e) `* g+ g& g
to setup-plots
$ X4 L7 P/ D' K" d
2 v o4 R/ O f$ f: C' s3 Kset xmax 30
* G X) c5 L7 R- U; x& a. M$ Q
U+ H2 _7 j" i1 L) ^set ymax 1.0
4 L" J# i3 T: V* ]
9 x, f1 @; n$ l/ Tclear-all-plots$ E. e9 M" f/ R' H8 S c9 M4 D
- y3 @/ ]$ Q% a2 [. Usetup-plot1
! ^6 V* l, w; `1 N$ F. G6 C$ Q4 v2 k
- D% h& b* p6 `# X" w$ asetup-plot2
2 j6 D1 Y% _1 k4 x$ e
9 D8 }% m6 X! usetup-plot3# y+ G1 }. z3 r+ h' ~
end
/ \+ ^3 J" B/ `2 T& t: g( c) w9 {! L4 `" `' S
;;run time procedures
# h0 L# O4 s% x! H: F5 e9 G/ ^, O+ }
; y* d" d$ |1 I6 Z: cto go; t( l- `" o: M5 O) w
; ]. P& z7 y" e9 x: g: u) Lask turtles [do-business]
( _4 A- }5 K3 {( {; X& rend
) V* a. M& w& v( j1 g: T' s: e3 G: m
to do-business
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, Q2 y, R6 H% A7 p4 f) _! Q1 N
rt random 360
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* Y% k9 J8 _0 ?- ^/ Gfd 1' o$ ?( b+ e) L8 W( s9 N
8 L6 C8 D9 g) L; U. J1 ~
ifelse(other turtles-here != nobody)[" g( J9 W/ v$ W+ T* r4 ?0 }
: C ?/ u1 e0 |) Wset customer one-of other turtles-here
4 Y+ J5 V+ [+ O
& h* r. M5 Z% A* s/ y |! v& e;; set [customer] of customer myself
; ~9 P( E* w5 [6 m5 `3 R2 H/ z9 z8 g5 P9 z
set [trade-record-one] of self item (([who] of customer) - 1)' s" H' S1 N- q! w$ L; O6 z8 d' n6 ~
[trade-record-all]of self
5 l$ c/ d1 u) W- U& c% M) N;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self& D* W/ l( Q9 ]/ J) H* [0 v6 U. {( J
: K0 S3 P+ X/ \. Q
set [trade-record-one] of customer item (([who] of self) - 1)9 H, c% y6 F; S/ ?
[trade-record-all]of customer
P; Z8 j- a% y2 u. W/ {4 i% R
. u9 D5 z! a; U6 Y% yset [trade-record-one-len] of self length [trade-record-one] of self
9 W) F' @6 `9 j7 |7 W# f# ]$ p! M. s: \. }0 t
set trade-record-current( list (timer) (random money-upper-limit))/ ?5 i9 ] }- ]- E4 y
; a/ a2 m, K4 Z6 K& [+ p" n1 T
ask self [do-trust]& K! Z. }- L+ E4 Q! ~0 R
;;先求i对j的信任度% J/ ]- }; l7 E5 J
7 F8 N9 g s+ l: y1 u, Y* p/ iif ([trust-ok] of self)
5 Y9 O9 u2 }' \/ P& ?5 S9 k;;根据i对j的信任度来决定是否与j进行交易[" C" G7 a2 y8 m. u
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
# u, r' C( \0 o' D$ q6 C, C$ L9 S+ V5 F' g
[, m, I: j, `* ^5 S# J
u4 ]. e, l0 `! c
do-trade& j1 h1 [$ T. _( U! V* r2 V( B6 e
# j4 c8 {# [' Y
update-credibility-ijl
7 q: W$ ^' x' V6 q6 O$ n
/ ^& R7 V n+ K) j) T* eupdate-credibility-list
& h% U+ L" E3 Q3 L
+ c: z3 f4 \( N. F0 n& g& \
) a5 g& D/ F/ r. zupdate-global-reputation-list* M4 C! k1 L+ S5 [# i# x* ^
* E; U4 W1 N; \9 y, Kpoll-class
+ x3 J5 o" L, ~& ~* m" P
# F) K$ M0 }& O( q8 Tget-color$ z) b+ R1 }8 f0 g( n3 [
- u% w2 q# A5 j; w" N0 M
]]
& d8 {. Z, C1 s" A; o+ n& G# t% s( ~
;;如果所得的信任度满足条件,则进行交易8 K* I6 z- f( s( ~
% Q& z( i$ B! |# y4 v' ?[. g9 g/ k% F/ s7 F- {
% n( N. P0 D$ V1 v
rt random 360
) A/ k3 c8 p1 b' D: P ?
; e; b% I8 h& Q, mfd 1* y. _# v4 M# s9 \
, Y4 Q5 q% P4 D
]
0 c1 I6 c" d" p. w- n
% L1 c& G p& W. zend
) a% S9 G6 {1 V0 K0 P* I! m$ z( R( [* d2 ]% {7 k
to do-trust : ?! l+ p' A7 W, x" G; D
set trust-ok False
, l1 I2 a" Q) D" g# n6 y; K+ _8 m0 P0 ]# T2 o& q7 Z: \: R! N* b
: H. p* n7 ^: O2 g3 p! k
let max-trade-times 0
1 {* Q' X4 o' D' B2 pforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
6 ? S* W2 \ a' Xlet max-trade-money 0
/ m2 G2 d8 r- u7 S9 z1 c7 Oforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]+ ?9 @( A: X! N& v6 [/ E
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))( T* v- W( H: x) `6 v
5 W P- E; [* Q3 {- \+ O6 l
' p4 P- h7 S1 s2 j7 k1 yget-global-proportion
2 Z; Y6 R6 p8 c6 ^: j9 [ F9 E9 clet trust-value
5 R% a7 u* S0 b4 c4 i. l' E* 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)
8 z S# @6 L( l3 J6 d. d: _3 }if(trust-value > trade-trust-value). h, Z7 W0 S0 D! F- C7 k
[set trust-ok true]
: X- U% l: w' gend' P/ H% C9 `: W' |3 L4 k
4 A$ t$ T. A! _9 X' ^7 C0 P+ c
to get-global-proportion# r! u! a9 k8 ?" p. U$ w4 U8 X, f
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)3 `% ^& D. ]% a- j1 B
[set global-proportion 0]
5 E/ j0 t A& x/ }$ ? V[let i 0* a: s5 K3 b _3 \- o- _7 I0 b6 c& A
let sum-money 0
2 y5 s3 c1 x+ Mwhile[ i < people]
0 B" v9 t9 O3 s: x[
# D% a# A1 R% s* P6 A2 W& uif( length (item i
9 w. @, v; k3 ]4 v3 g[trade-record-all] of customer) > 3 )
) `$ P4 L2 t" l# A$ n[6 U) {+ M9 ?3 H8 q8 G: y* ]
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))# F" x& q& t2 R2 z. D" x' e/ u
]
K& M# v+ T; x% D9 v]
. t( Y, f# f; l, H; Mlet j 0# Q% |+ M( j. h5 ^0 z1 Y, v
let note 0
0 ]! C* T- W9 I* K# Q& Awhile[ j < people]
; Q" V6 m' q# e5 E% e i; J) k. \, a[" P( @3 X5 C6 Q- H
if( length (item i
& c$ W& w) T4 x% ]1 h9 t[trade-record-all] of customer) > 3 ): g$ m. U1 @$ a
[
1 C) c" ]( F0 |! J. J, o7 Y, h: T- kifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)( X& B' z9 v* O/ L V
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
+ I+ g$ p# Q* w[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
! b, U; m X" O5 b& _]
( d) Q2 d0 m. S( _8 J q3 t. b]( k& r; v5 o1 ?* ?5 X c
set global-proportion note+ D3 X) E- g. L/ U, ~+ R/ [8 @+ n
]7 g1 [* p# {/ C! Y+ b+ D
end* ?( X' X8 f `5 e
$ ]- W+ A( l1 v- B5 Tto do-trade
% c3 `+ w2 D* G- u1 H/ c- V: ^;;这个过程实际上是给双方作出评价的过程% A1 o6 j. n# N% i z
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价" x6 c8 O* c3 A0 F
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价( }" h8 O! g7 b5 h, j) x
set trade-record-current lput(timer) trade-record-current% L; Y2 W+ Y' l5 W- A5 c3 z7 ~
;;评价时间
, ^ Q( Z; j/ F3 \7 l$ kask myself [
; r' T9 B4 l) x/ qupdate-local-reputation% `: S% t4 k) @
set trade-record-current lput([local-reputation] of myself) trade-record-current7 V! _5 q) b" v$ t5 l
]- Z) @$ S3 Z( |) x5 Q
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself( d2 }5 R6 y( w/ L- O- Z
;;将此次交易的记录加入到trade-record-one中! j |3 z8 f" i H0 D) K
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
% Z/ @7 j" h4 N* J: qlet note (item 2 trade-record-current ), W/ ?0 _5 s3 J
set trade-record-current+ |5 C5 [: z4 W
(replace-item 2 trade-record-current (item 3 trade-record-current))
$ T* @3 O+ I/ P; N& G6 bset trade-record-current
8 g$ E y4 k7 m6 j(replace-item 3 trade-record-current note)8 H9 r3 Z6 z) C2 |
) z) q" \0 i7 C; S( r, }% g D* d" D) ]' N
ask customer [
7 v0 J+ H$ E2 _) X, D. o( _update-local-reputation E- ~) f: b. v2 I7 k7 t1 \" @
set trade-record-current- W4 S! l3 v) S# D: K+ H/ P
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
& r' \& V( x+ B]" \1 b- S _' Y# p" ]9 |
+ G5 x) }1 {- j" X+ \/ \7 O, A4 N/ Q- G- h
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer |- r3 } r: N* S1 f: ?' L
- A! i2 w1 @2 o- j4 d" g3 x
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))5 ^$ L2 x: O7 K1 j
;;将此次交易的记录加入到customer的trade-record-all中
! P. @* Z# [+ G6 l/ aend# e, |; g& j1 S# q3 `% @, Y
2 C6 S' I' N8 `8 z4 e. N
to update-local-reputation* T, ]) }9 b" A& m2 b" J
set [trade-record-one-len] of myself length [trade-record-one] of myself
& t% B5 n9 i" {6 }. O( `8 h/ m$ R0 [9 K% I- K
1 [: n5 f- T4 b N) a;;if [trade-record-one-len] of myself > 3
/ I5 A$ I7 P% {0 _+ Q) h6 S* ]update-neighbor-total' y |' M; i7 Q2 J7 Z1 z, _ V
;;更新邻居节点的数目,在此进行1 q1 }$ l4 T* C9 a+ P
let i 3$ E5 ^+ `! n( a8 o1 k
let sum-time 0' v5 \( d" H/ w9 K: P& y7 p
while[i < [trade-record-one-len] of myself]5 {! }1 L! n# e/ J Y1 M `
[
5 Z: m. k, w' H" K; b# ^- Hset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 q# ^; a) U/ G# j } J$ x- U& G$ D
set i4 z. _, I$ X: G$ k! Z. _
( i + 1)) k0 V2 r7 W) r( L1 F7 f! N
]
2 F; t. u [) V% s" f. h* W* Dlet j 3
8 b- G. W6 x! u! O/ glet sum-money 0# {# p4 M3 r) |. }0 m
while[j < [trade-record-one-len] of myself]
! v! a, B4 c \# {' q! j[
1 r4 h |, K" I3 [5 `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) a% J/ m$ ~2 z' h- j$ X% d
set j
- t" e- O" n% q0 e+ o) s( j + 1)
) Z, N6 ?! N0 S* F: \* J) M& ^8 O]
. a+ a" U" \" U3 D8 F* q3 C) |let k 3
$ A( P7 |7 G1 @# G: T# r$ f) g1 H$ Clet power 0
% J/ I+ _2 V+ C7 V$ olet local 0
3 r/ E8 \6 j6 N) Awhile [k <[trade-record-one-len] of myself]
8 O4 ~. V) m0 A" z[ {( k0 f9 v: r) `% n7 L
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)
. C# P0 |5 y# dset k (k + 1)" h& B3 \. C3 g
]
, ?* D: b* ?* H; r/ y$ Bset [local-reputation] of myself (local)# _0 a6 w- S7 @. O
end
% A5 g" t# ?$ B# E1 C4 Z9 n1 ^9 ^ s
to update-neighbor-total: p8 K5 S+ A5 U j" i5 A
* c8 ?2 D0 o) Pif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
6 Y: a6 e4 r/ z& B9 f
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# p! @6 |" p) y
to update-credibility-ijl 5 p1 m9 d) y# o2 p/ {
3 K. x" W3 ?3 R2 `;;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。
3 g9 n# d4 Z; r: q0 m4 elet l 0) s& A+ c. P# L/ V; d0 _: m% y
while[ l < people ]
* a# n& w* k; [8 c# I6 c6 j' U;;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% _/ d W0 b# w c
[
' n2 K2 q/ j h' q! v" F. L. flet trade-record-one-j-l-len length item l ([trade-record-all] of customer)
- e' r, T( q3 Y/ V" b$ K* Bif (trade-record-one-j-l-len > 3)' K1 b& j3 Z% i' u, r8 i- D; }! d
[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
8 ^" [. b$ L9 q) U' V% Q* N+ slet i 3
0 O1 {9 g( C! a/ C3 r$ b( Klet sum-time 0
8 Z+ o2 {) E+ I0 k* e& l! l' J swhile[i < trade-record-one-len]5 {/ u1 P6 K1 u; X3 b
[
8 w9 e/ M4 Q1 w+ t3 [8 m, xset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
* O. g2 m- o) eset i
+ b2 B- t5 t' F- p: f1 }( i + 1)8 y; a/ k }1 U+ s6 [6 Z0 S" r# ?1 k
]+ @/ i' l# z. z: G# X" N
let credibility-i-j-l 01 h' D0 u, g1 J
;;i评价(j对jl的评价)
* Q% o: ]+ M0 c* [# B* u5 |let j 3
/ j" o# E) M# D- }; k. Klet k 4: [8 u7 L# C7 P6 V/ P+ @+ R
while[j < trade-record-one-len]
6 K4 T8 |; s; {( s; j[
# k4 `' c2 F+ i3 L" C1 U; ewhile [((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
! e5 g( x. y3 H! sset 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)
0 D1 |5 y. C% B9 v! Q. j$ Eset j# v6 X, M% F1 Q3 l
( j + 1)" C/ r2 P+ Y) M1 Q# z2 z
]
9 ?3 Q5 a+ l0 U: D% K' |* Cset [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 ))! X0 G. c% U5 z
. F7 S1 k/ M1 | `
6 ^ d4 j `; H# C) W! \3 olet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))' I1 \" ?. |( H! g
;;及时更新i对l的评价质量的评价$ l3 }& _9 i! ~6 i
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]6 c* s% y) s6 @
set l (l + 1)
" F9 \- ^+ C. P3 L! {1 []
) b2 \' p. F2 `3 I! d& qend
; ~3 K: s6 A9 B3 R
- D7 ?& M. g5 kto update-credibility-list
- v' |& _7 E0 m% o; @# E" `let i 0
8 C/ w1 V" ` k& w+ zwhile[i < people]2 W1 r. Q" t1 f: u2 k; s
[
4 g, W: F3 n6 _, |let j 0% ?' O) {: c! @) S2 n6 X( T! w
let note 0
: c6 ^% I0 e: T9 C' Z3 z6 q5 |' Ulet k 0
7 P) e( C r2 J$ ]+ ] C;;计作出过评价的邻居节点的数目
4 ]" P) Q! C/ i3 a2 B& qwhile[j < people]
. E: [- W# y2 E% g3 j[: ] O/ H3 M& l w
if (item j( [credibility] of turtle (i + 1)) != -1)1 {& U) {4 A4 D! I
;;判断是否给本turtle的评价质量做出过评价的节点
7 e X1 G3 K, }! a[set note (note + item j ([credibility]of turtle (i + 1)))) |, v# p( R4 @( Z, k+ ]3 a$ x
;;*(exp (-(people - 2)))/(people - 2))]) \1 z* x9 J$ V* g3 W+ J# b. j
set k (k + 1)4 D: q' w9 C0 Z. n+ V
]& d( o% m* C2 Q+ b
set j (j + 1)
* w. `3 @4 z! y% R# k* b$ P]
" |; W$ p w% N" _: z' s# nset note (note *(exp (- (1 / k)))/ k), @% ?8 N( w7 u/ K
set credibility-list (replace-item i credibility-list note): D+ x: t, t# \' l: A" g8 S
set i (i + 1)2 |3 ^7 h$ Z- G" G
]
) w+ e1 E, y. G/ Send
/ f* u$ Z, S, n. x9 G7 q9 |
+ S& A6 U1 n& k) c$ I; Jto update-global-reputation-list
+ ^) x1 Q' y& O) C0 j# k& I( p) _let j 0& l7 [1 e% L9 k0 D
while[j < people]8 [7 l" J0 ?6 p4 t% c H2 w
[& ^* P% q$ f T/ [4 [( `3 F5 j
let new 0- ]0 B/ h$ l2 O. \
;;暂存新的一个全局声誉- J- M1 Z; o8 u
let i 06 x% }2 ^8 B q6 @( }3 D, z8 F
let sum-money 0
6 `1 Y. |! s/ [6 O1 S( Clet credibility-money 0
2 _- M! l, i/ Bwhile [i < people]' Y3 n% ~; K+ L6 a0 S0 O* T4 [' S
[
: _4 L, M6 r3 ^8 e4 T+ U) I) p4 }) rset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))& q1 |/ |' N; p' \( d
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
+ i; M3 h7 U1 H5 S1 M" _, aset i (i + 1)
1 E3 P& e" N. A) X' E0 X4 t]
4 b4 d( Y& B a @0 @7 N& U3 glet k 0$ L8 k, ]" |( p7 i' ~3 f0 X$ O* v( z
let new1 0. a7 M: c! \9 r: }0 g( U( @
while [k < people]
2 ?% E# }; m- C+ ?3 w[* H. G0 s* G& |8 P& A4 O0 O
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)+ e+ S; t Q3 H& x
set k (k + 1), p: N1 _( n- g7 [: C1 n
]# t; C/ C! {+ b
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
- b- V( V# W- E% \0 @9 @set global-reputation-list (replace-item j global-reputation-list new): D1 v3 X( ^0 ?- s! q
set j (j + 1)" p- ?% G9 d, s- b: N. ^
]
Q( h7 B# C( rend
; q# I! @) m* g6 D. [+ H( e6 T0 O9 N9 M! |
( L1 s. n$ _8 Y b, n( G! T1 e- S1 T3 z( L
to get-color
1 X6 C" F# k% b; T3 @" a
. g, N, r. U0 n' N* b1 Xset color blue
: A9 P, P1 B @0 r/ T0 dend3 D N: _$ ~0 E. q
0 `1 A. m' H2 \8 H" gto poll-class
' M/ ^; J( x) n5 Y: v* }% w$ O! Yend! O7 Z- K5 H& s3 E5 O
" A) p+ R$ o, g' R( U6 Wto setup-plot1$ t+ U3 @9 ]) w# X5 K' o
4 s! S+ e: \8 z( K9 v
set-current-plot "Trends-of-Local-reputation"
6 a5 z2 C. \' G c8 e% Z( s9 h" t% |# F& Q
set-plot-x-range 0 xmax {9 e7 O# Y$ Y
+ \- n* a) P" c6 a; Eset-plot-y-range 0.0 ymax4 W* w% M- ]& K
end
" t" x4 T6 X+ L" n, x" u0 a2 H5 @7 b; R0 y8 i
to setup-plot28 A, i- s4 w; s2 T8 d v; P
) y1 m& j o) a' e0 i
set-current-plot "Trends-of-global-reputation"7 M# j" p' p8 Q0 b1 G
8 ~( C$ V4 h v' p/ W
set-plot-x-range 0 xmax1 l1 ^2 v& S$ p, O& g
+ a; y2 _7 y6 u0 X' e8 f
set-plot-y-range 0.0 ymax
8 w, N, e' O$ ^end
. d C& Z. P/ M3 C$ {! `& O3 h9 |0 o* X: W, `8 I
to setup-plot3- C, C2 A. ~! ~$ R2 i8 V
: x1 @0 B( A/ v' xset-current-plot "Trends-of-credibility"9 @1 w5 `9 u, w% V8 N
& |# e8 N1 M7 ` B' B
set-plot-x-range 0 xmax: q+ v7 `6 G3 k' c; Y' w
+ e* e4 w* ^7 _# X. U. a* E7 |set-plot-y-range 0.0 ymax" D* b. ^ T/ a8 v
end
- P8 p2 f, N) e7 |0 G: V
9 s* k \& G1 j/ \7 Ito do-plots3 ~$ N0 W9 L1 U+ M
set-current-plot "Trends-of-Local-reputation"0 B. s% O0 n; ~- @3 M
set-current-plot-pen "Honest service"
3 C; r" N3 g5 p5 X+ Z' n% Zend
$ V9 @5 ^% u: n! O, o
l# `- }. w2 e y& O. j N[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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