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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
6 ]7 H# N& ^ Tglobals[* A9 P% X! q- a* H) l7 K& e2 k
xmax0 i! d: O& W4 H& F: w9 p
ymax
/ m: W5 V) x1 W6 |$ Uglobal-reputation-list
" h5 `: @9 X* n& w# G3 J
4 n4 k- ]8 B" R8 {: @3 ^;;每一个turtle的全局声誉都存在此LIST中
1 v% K3 [1 U7 a# }credibility-list: x) ^; B7 T8 E- k) n% F
;;每一个turtle的评价可信度) }6 N" Q+ M% ~* U
honest-service' m! F0 u1 _' `8 s
unhonest-service% y, m2 v. N7 H2 q1 W2 ~4 \& e
oscillation
; L. r. V3 o# E0 R1 Y% @# Trand-dynamic
- ]* @6 G4 Y k+ y# |2 ~/ V* x5 ^3 ]]% q8 f2 `" v0 }2 z; a" @( X
0 i" M7 R) k" V
turtles-own[* n- H8 _: W y3 ]' |1 [& g5 @$ n
trade-record-all# C8 `; S; o0 b6 t: c L, s
;;a list of lists,由trade-record-one组成
2 A) ]# c& g# s \8 Ktrade-record-one
& n' S# u. ^$ f;;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 h) T7 C8 a9 d* P
! ~ h7 k0 R1 a, H
;;[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]]; N: q4 g& n. R# Y
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]- e- \3 f; c: k2 ^0 m4 d( k
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list5 @8 U: r3 S0 z- g' I) B$ X
neighbor-total/ a$ W# J) f5 f2 m& |1 w
;;记录该turtle的邻居节点的数目
+ p4 _: D& [4 Htrade-time% {- G; ~1 n. f/ Y9 O: S
;;当前发生交易的turtle的交易时间! A8 `4 v1 ], E8 [) j
appraise-give# Y4 w' W# k, U3 V$ }
;;当前发生交易时给出的评价; ?; v! Z2 P; |
appraise-receive5 u$ A) E }, `) K
;;当前发生交易时收到的评价; O3 |. W7 E% ]1 Z% V7 x
appraise-time
' U2 H) Q4 n2 e( `7 q5 k;;当前发生交易时的评价时间9 Y' |" O5 o( Y
local-reputation-now;;此次交易后相对于对方turtle的局部声誉0 e, i7 U, W+ M) X- L7 o, q
trade-times-total
& F4 ^- x# B* O% i;;与当前turtle的交易总次数
$ {8 L$ ^8 _% e# i( V8 E# T! W7 ftrade-money-total L- A* t( f0 z% }
;;与当前turtle的交易总金额
4 Z5 @8 z5 J$ R) ~0 ?8 Y9 Vlocal-reputation1 ~7 I) y! d% U# T" E
global-reputation
# i% G$ e7 z1 x% q/ ^7 Scredibility3 X$ L4 Q2 I, X' c
;;评价可信度,每次交易后都需要更新
0 b; p' z! P9 x0 \% ?( bcredibility-all. ~/ k- [) N8 j. F$ a
;;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
% u r' J/ g4 O# k( Y7 b6 d7 ?/ x
2 V& l! b4 N. g3 p! p' P! `; };;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. w" Q4 O7 p9 r" ~, n+ l- R; H- m0 u( y
credibility-one
- t3 K1 b; L* Y;;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
- {( K9 @8 _5 V" J" mglobal-proportion# `" I) D' V6 H1 f' k# ]4 t
customer
- k. e3 Y4 |# g0 Pcustomer-no& W `# |+ ^3 d) ]0 s8 N) W4 X
trust-ok& K0 t, `" ?8 _2 U* k+ p) x0 G
trade-record-one-len;;trade-record-one的长度
0 f8 A; K! u1 K' e+ r* c: J]
. n0 }: F% P/ f7 ~7 l e4 N4 x- b" J R. V. A3 j
;;setup procedure$ D+ n# S Z2 q: E5 d3 \
0 M s) v1 i1 w+ g( Hto setup" _7 ]. _2 u# e! E
# E% C0 f- Z/ Z C
ca) a% t6 P; b. ^- O. J9 T% v7 q
* `4 G6 w- f6 T4 w
initialize-settings
! n* p( A: U H8 `5 w/ Z3 H; S4 }; v e, s& f# `+ b) @- G; M8 V$ C3 h
crt people [setup-turtles]2 R8 W2 v* M3 s' y& O f7 W
& h" C/ `7 K( V- p ?
reset-timer" g* j* @6 k; o. E: e6 \
4 _8 D2 u y: x
poll-class) e+ ^ b! L6 q7 n- w
! O5 b# {1 \! w3 _
setup-plots- q/ h: t, p& m0 A9 P. S3 _* @4 h, y
* f5 q8 n3 z) k
do-plots; l, i9 P7 `" h
end V( v, e) e2 |2 D
4 R/ {& {$ A0 `) p0 K4 _/ ?to initialize-settings
. A: |3 H) O3 y% k
- Q5 y6 S5 S) u$ P3 mset global-reputation-list []: U3 d' |9 O: w
8 j: K# J: d. D. t! d3 ^+ vset credibility-list n-values people [0.5]1 c4 m' R" A/ X" c
/ @. @/ d4 b0 k
set honest-service 0$ g- r- r; ? p2 \+ I, ?: b& b
' j6 Y ~+ k) q. F' |: c9 [
set unhonest-service 0. }; J8 s% b7 C( [
* Q( `5 U+ O* b7 V* a% \set oscillation 0
! t6 m6 [: O& I3 `, f* ^# ?! H( L& x+ i4 t& U
set rand-dynamic 0
) ^9 ^/ R" U3 t3 l5 @4 L, Pend% x; K5 t! |! q9 f
+ R7 _ R* g6 M5 Y9 p/ ito setup-turtles 1 q+ {* w& p3 S% ^$ \' j, C
set shape "person"$ h- c% I4 `; L* f; |
setxy random-xcor random-ycor, o$ c& S% Z: t6 M" Y' ~
set trade-record-one []3 m6 v3 \- ^/ _' ^6 h
% G( V$ v% @5 A I( |set trade-record-all n-values people [(list (? + 1) 0 0)]
- N% [+ N0 l0 Q: c3 H9 |
. v4 k u7 h( W7 L" d4 _7 Kset trade-record-current []
7 ^! t# X( O6 o6 L2 ~7 C% bset credibility-receive []& u: `% o0 Y, A- b3 X" q2 q
set local-reputation 0.5* t, c1 O7 n* x+ y$ h2 f* ?
set neighbor-total 06 P0 y+ U4 i/ j: n. ]/ ^
set trade-times-total 0
3 X9 y+ R d/ a( v' z4 {* cset trade-money-total 0
% f. N! Z& l8 F. rset customer nobody
9 @0 d4 w, C' @/ q+ }; tset credibility-all n-values people [creat-credibility]
+ R; M4 N) G( q$ U! K2 Mset credibility n-values people [-1]
5 t" K, A& n; F$ q7 yget-color
7 E$ ~) J. \0 {, D+ \9 T
7 k$ g5 t3 h f2 Vend; B. c0 Z: s9 `' t
) }5 j V0 {7 r* {& lto-report creat-credibility2 z. O9 t+ S$ a5 I0 u8 u* w3 i1 H% M
report n-values people [0.5]
; b! f' x7 J- ^end1 s9 x$ W# B- T7 u6 X f5 R" z& W
; B. f- K& d) Ito setup-plots+ r6 d( F4 j, w8 o3 |- V
5 O; H7 i& h$ p" s
set xmax 30
4 l0 ?# j' Z( V: Q5 C* b$ V; E
9 i7 k1 X! U0 p/ H9 gset ymax 1.0
G! Y% G9 ?9 w! L' ?9 s6 t6 N1 { m' ?1 t7 P- [# Q( F& o1 \7 ?
clear-all-plots
D3 Z6 B- G- z5 {2 C9 d9 z4 a+ C
setup-plot1; c- L& U6 `2 |: Y2 u5 `
7 W# @. S- _! [
setup-plot28 V% o" g$ `3 q
. F' f/ v+ `' {* ]setup-plot3
5 D3 k8 k1 L, P* I( U/ O+ ?end" F# t% R+ }8 O
/ J# U: e( Z, \ Q- r;;run time procedures* [4 G% N( e4 |! ]9 Z
, Y" Y3 e3 X# Wto go7 ~. u, h& f& e# {3 v% y8 M; }) y
" b- s: @% `, x
ask turtles [do-business]
3 s5 S/ v& A5 Y3 n. rend% i- J" v! }. W$ f/ k! o/ w% R3 y
]$ y1 a* p" H
to do-business
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7 k( @- B8 ^% A z+ M' F5 X: |" `4 ?; H/ @/ X; d) b5 E9 ^. d' K' N
rt random 360
1 @% V- S1 [: p$ S* i
6 s# I: F: K6 O- m, Dfd 1
# l% r1 r7 H, k- |" Z& K
' x# H6 ?+ `! n4 t- o2 J7 p# A2 Lifelse(other turtles-here != nobody)[
1 o, u7 v1 n8 p3 C5 t! T% o7 d
+ Z x z7 `% _ v% `1 Pset customer one-of other turtles-here
2 R" Y' p0 D, M6 w n2 {( I3 s& N3 o, {( T, Y, O
;; set [customer] of customer myself( f' Z9 b+ _5 h% M& G/ Y* k* N/ G
! T" a2 ~0 D# u) F6 h+ ]set [trade-record-one] of self item (([who] of customer) - 1)0 P8 l$ B1 j0 ?& G& z' m6 _3 x2 C" W
[trade-record-all]of self
, d* Q# ~: z$ u o, r2 e;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self1 ?% s( L8 \/ w
2 i( c6 S+ r& g! L! C' _
set [trade-record-one] of customer item (([who] of self) - 1), f, [0 V% K2 N! `
[trade-record-all]of customer) D5 G y8 d- w% s6 s& v
% d, T! |& z. h% o( O, u
set [trade-record-one-len] of self length [trade-record-one] of self* h( `8 x0 V" K1 g0 p
2 n2 R( Y3 r+ H' x* a0 g8 [7 yset trade-record-current( list (timer) (random money-upper-limit))
5 M5 n% K( R% E- P( z8 c
- s0 U! F* t; n, U( A/ Pask self [do-trust]$ G1 }" r7 P" a) z1 v J l, h+ ~
;;先求i对j的信任度
) S& G% _* M1 X3 q( ^2 ^! V9 c1 S( i* Q, s) _4 X
if ([trust-ok] of self)
1 `+ I8 s: k( d; {+ |;;根据i对j的信任度来决定是否与j进行交易[: K7 N% U) w1 R' z
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself C8 l- F; a* ? J3 e8 |2 N2 E7 c
7 W& K6 T: ~ [0 ~5 e[2 A% g; n4 a, `- B4 D; F4 v. I8 O
3 V+ [$ P$ ^# }7 l' D; [5 a
do-trade
4 C! G/ @( w9 M3 M: R* z- V3 v" x& e; w
update-credibility-ijl
, g$ N1 C9 @4 C" p% g- A
4 P2 w0 h5 e; z3 ^& G! @* p3 Hupdate-credibility-list
& T8 ^( B$ O* b7 r6 U4 c2 y3 g$ ^
9 Q& N9 Q3 i. H
8 g' e/ q6 M# O' gupdate-global-reputation-list
8 }% F: {$ v8 l% F P% W; G6 u, o N5 l8 t
poll-class% n$ F+ s. e- m' E# R
+ t# r8 H. z3 \get-color
) [) x0 X6 \9 [! `& g" r
) V7 c% o# p$ X* c% Y2 }]]! g0 j1 `% T9 n' \) g0 S
1 h+ ?" H7 [" H+ u* f0 A1 y! G
;;如果所得的信任度满足条件,则进行交易
5 o6 z- \& d) O/ s# E0 B
- E0 i3 Z$ Q& [+ \; ][- ~9 O8 F- ?4 H+ W' c
' l, x D6 \8 w' q x: o" N: b
rt random 360
1 E; M4 f' w) y- u+ k/ f( [5 D+ [+ J4 a; k
fd 1
! ^+ Y# v! c% h2 G* F2 @! p+ S
8 g- f: I( l$ L p]( q/ e0 g5 e3 L
* d+ F; d& {6 t" yend
! X2 o$ D" J7 p& D' n1 i
! R' k" o A. r4 ?! \6 P/ dto do-trust
9 _4 Z6 E, b% k6 C9 m8 ?5 rset trust-ok False' w* C5 f; @" s4 f+ j
1 }9 A4 Z, U5 D6 O: J
( d- W8 e; K( ^let max-trade-times 0
- w# U. R+ F: A7 Hforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]2 A! w- C- J7 Y
let max-trade-money 0
$ G7 V* d8 v% s& @foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
8 X" t5 Z. e2 j6 x5 o' b: q: blet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
9 U$ q3 D% H6 h0 s0 U
: M q! R: g; X. c6 `; t# Y$ {) |9 u- K. ?0 L# d& S; u
get-global-proportion" A& |8 } h! }! V* H& N
let trust-value
. Q! G/ m9 `' f* w6 O5 clocal-proportion * (item 5 (last (item ([who] of customer - 1) [trade-record-all] of customer))) + global-proportion *(item ([who] of customer - 1) global-reputation-list)
! r& g3 `* Z5 X8 Y6 ?if(trust-value > trade-trust-value)* \( [+ L3 L+ |$ K0 K7 c: n3 a% J; h
[set trust-ok true]) `; k m$ [5 T, O5 F) r4 e. n
end3 V. Z1 e% q) V& ^
% z" b+ }5 t) U0 Z* B4 C1 ?: Q
to get-global-proportion
* Q7 x" i0 _# T# @# q! @2 wifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)4 }% O( X: a' r
[set global-proportion 0]) \- F8 ?7 v6 ^) z6 I3 @/ s- J) q( U
[let i 06 f4 z/ t: V4 v' A; g1 M
let sum-money 0
, G6 r. [: k! |while[ i < people]3 j# W/ D1 e& ?8 u! }6 m
[! k& {" g6 `' c. ~, G
if( length (item i. E6 x% t7 m, o& S5 H
[trade-record-all] of customer) > 3 )" p2 @( D# \* E
[( m7 S ~0 q) A, R
set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
% l4 w* a! i; m) V]+ m, [4 I" [; E) ~! V
]
- j: \9 ?1 [8 m! B4 E, c$ ^let j 09 t% p0 h1 R; t4 G0 H' H
let note 0) ~2 f+ ~3 l9 F6 U! x3 C
while[ j < people]5 d* F: _- D* s
[
; ]/ z' q9 B a% u7 A: ?if( length (item i
& h: J1 r- a: M; L b[trade-record-all] of customer) > 3 )
" B+ v# S9 s3 t. X7 v" A$ ^[
* \% h \# Q( G" s0 S; z, Xifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)+ g( x% O5 z) z
[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
: l8 S, n9 R g0 b5 D1 e6 J[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]) M! U" o& t4 Q, B# c- u8 q0 c
]4 W) |, t3 r$ ?* N
]$ ^" P& Z& l2 e8 O
set global-proportion note
1 U% x! |# `$ {: |]8 u$ i& t2 _( X+ `. }
end" n+ j0 ]/ {) Q% i# U. l5 V. F
6 q& r1 y1 t! ?' v' ]( P6 J ~
to do-trade
* Z. V' ^8 n! u+ |3 K1 E5 f+ M' ?;;这个过程实际上是给双方作出评价的过程
; z( {" ]* @- E. V7 d' Aset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价 H: l, [/ V5 J: T0 ?
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
) f3 k! |/ e( p; p( X$ f- g# tset trade-record-current lput(timer) trade-record-current
/ Z0 n+ a+ a4 G1 t' l! T7 R0 S;;评价时间
; ^$ r* A4 z0 e& `% {ask myself [; n/ B. ]3 e( q5 Z4 L4 [
update-local-reputation
+ z5 n. ^% y- _6 G3 K0 Xset trade-record-current lput([local-reputation] of myself) trade-record-current
, @3 G( S/ ^5 w. F+ S7 }7 Q$ u n]
( J* @; c8 j6 s' S9 aset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
5 `+ Q; G$ t; w9 u! q; g;;将此次交易的记录加入到trade-record-one中
( _7 `" H8 T, c3 z1 y7 H8 Xset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)- `& I( i7 i& \
let note (item 2 trade-record-current )
9 [$ T1 i5 L8 M, u. q oset trade-record-current
$ R* t* F3 t+ ], x& M(replace-item 2 trade-record-current (item 3 trade-record-current))
- l9 e6 Z& l. ~' c1 O+ z9 `set trade-record-current
9 U3 J, e2 q& ~' ^& R' W/ n& k4 A7 f0 @(replace-item 3 trade-record-current note)% v3 |2 g+ j4 ^
- [# _ ?' `8 y. o! _0 l2 E- B6 A: o. ~
ask customer [$ m& k: }3 v( {
update-local-reputation7 l' I1 s) W) m- [$ J
set trade-record-current
# N& s7 G5 z% f* D(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
2 i2 s/ R4 z$ s5 z], p+ @9 I: i7 `) S0 O' p% v
# T) V5 l& r0 V, a; \' e$ @
F" m0 v, `4 kset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
: Q5 L; w. l5 q2 g0 A4 E, V+ _* Z/ ~3 y1 z/ l" B+ N
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))% g( T4 m: ^0 e) }, Q) v* n: E
;;将此次交易的记录加入到customer的trade-record-all中8 I: \6 T2 u: ?: ]4 }
end
% S2 Y3 v/ R' G3 j+ O: V+ N: y4 Z) b* }! g
to update-local-reputation% `1 F. S6 x- r O. n
set [trade-record-one-len] of myself length [trade-record-one] of myself
7 e; K0 }' ?5 t9 a# e( j$ l2 u e- y1 c
% O0 J, f0 |. o; C2 t: ]# _/ u;;if [trade-record-one-len] of myself > 3
8 |+ }' C, {, e! k" b" l( _update-neighbor-total$ B. C3 T: Y/ ^* G. z' N. t
;;更新邻居节点的数目,在此进行9 M6 K2 {' F. q! E
let i 31 S# c/ |% r Z# r2 d; G q- f# J+ L, n
let sum-time 0/ P% u6 z( @1 D/ p
while[i < [trade-record-one-len] of myself]8 H0 t0 U) d" F' [5 J
[
6 p6 @ L. Z0 L0 f& }' Hset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
. ~0 Q. h+ L! s% J$ V0 k) Z/ ^9 xset i
! g6 [% @6 i5 i) y( i + 1)3 i; l- s) Z. n+ F
]
. G' I( L1 W1 R' p7 W/ o+ Flet j 3
$ H9 h9 D. R* Olet sum-money 0
, A6 v1 N% c- w1 q1 u+ T0 @, Z4 awhile[j < [trade-record-one-len] of myself]
( \- u G) ^! f[
, E% x& O/ k& xset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)0 t/ C# V- |& b2 B
set j
) d# b4 }! _, `; I; |, M5 @( G' `( j + 1)
; @ N" r" n- A8 P/ G$ d. h0 }]1 l+ J5 y& }: C! A
let k 3
# |8 M0 O/ [5 z7 E* ^ Dlet power 0) ~. D/ e4 Z V* w1 Z# f& L
let local 0
+ h" t+ T$ }5 v# P9 ~* Mwhile [k <[trade-record-one-len] of myself]
0 Y; e( Q5 `) M8 E[/ f) [0 l y/ n+ J: B
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)
) c3 I0 z) V, V- O7 Vset k (k + 1)
3 y5 R/ `/ l& @! h]) y8 P6 G7 D. v7 Z: Q9 ]
set [local-reputation] of myself (local)
5 [% [& }- H7 m1 m- G, t0 vend( `: y. m) X% G! ]5 R: Y/ I0 ^6 H
9 m. ]9 z2 t1 L E6 |! nto update-neighbor-total' H% M4 B" O+ U5 [
3 P& F' W. U" @) lif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]5 y) @% a2 p1 y
. P8 j7 O6 P. I6 }7 Z9 o# B9 z- a+ A$ U) B* c* [1 c
end
7 Q# l6 v2 @- I7 [+ h) A' `! @/ V3 c+ z4 C4 C5 K9 C, {
to update-credibility-ijl
: @- [7 Y# ~, R1 a! E, [" u
' }; N& n5 _* U( C/ W% V;;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。
" m0 N" A; w# o2 o7 q4 h& V% K6 Vlet l 0
2 c7 x- z0 z4 P& [# j# Uwhile[ l < people ]
# s( s) A4 z. W. Z;;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. e6 @3 T, M" J- F6 o
[) K3 {* q0 y' g& q! e+ ^
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)* Z# T5 r% o( T* F# `
if (trade-record-one-j-l-len > 3)
/ A; G9 \) z K/ A W[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-one8 v, _0 [1 F: r* g; t, @) x8 d
let i 3
& p! I, A6 [4 u* P8 J( i3 e) |let sum-time 0
% j4 K: O0 v5 K- o& r4 R) hwhile[i < trade-record-one-len]
( r% {3 J a1 B' }[
6 z7 I/ O6 [5 I; y3 X' @# Wset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )" E- E0 S; r9 P0 y4 n0 z
set i0 ~5 i* k+ t* c3 `8 R
( i + 1)9 T/ O4 ]& O5 {4 |1 B
]2 \4 _* h. B+ u" W- ~ G2 _- g7 Y# [
let credibility-i-j-l 0. g9 ?% \, Y! n+ {
;;i评价(j对jl的评价)5 ^3 J& d: z0 U, ?/ i: q) i( q* ^
let j 3
# D/ e3 W( h& f4 `$ Wlet k 4
- y! u0 M5 Z9 m- {4 K, Q! Y+ M: i( `) H) hwhile[j < trade-record-one-len]" R* E$ ~9 b j3 y) ^
[
- ?; [8 T* n- Q, L+ ywhile [((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1 ~- Z/ d8 z1 m2 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). v9 d# ^1 Q6 [* {( u0 ]8 J+ C
set j
, E& L4 s& X- S% j3 f N' z( j + 1)3 y$ x' |4 ~# I( ]& W. w
]
6 x( H" d [9 p! n$ [& {4 dset [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 ))" k( o* a' w7 M& W4 g( Z, f8 K+ I' L
& S2 D1 B* o2 Y/ \: K( B4 j
/ D( s: g' v0 o. O0 ], q' U, P8 Hlet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))0 J% F% i+ u* ~- p" T
;;及时更新i对l的评价质量的评价
5 f9 [& Q6 r% _8 Z G4 L% O1 ^set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]" e L8 k% v( R. n5 F
set l (l + 1), c/ d# x0 l- I% @* N$ ]5 \
]
8 S! W5 ^% s8 ?# @8 N; y% z2 w* fend- p" J6 K* a5 J, t A( S
5 u, ?2 ~- m7 z- Yto update-credibility-list3 O: P+ D* n$ n5 m7 \7 c
let i 09 }+ \) e0 k5 O0 ~
while[i < people]
1 x ?$ J8 c/ E[3 u5 j' F1 r% b2 S
let j 0
9 ~3 e6 o: q: ~let note 0
) I3 ^- y l" klet k 02 ?. u& u; v% @& @0 F6 L" p0 A* A
;;计作出过评价的邻居节点的数目
9 p# _1 y% ~4 _ J. k. Dwhile[j < people]
. J5 F; P R9 r/ m2 F[+ y/ S: K0 D# Q7 Y3 x' q) H
if (item j( [credibility] of turtle (i + 1)) != -1)' h5 p6 J, }" t* ^0 T0 ^
;;判断是否给本turtle的评价质量做出过评价的节点* i/ H6 v. Z; W, Z$ k n! z9 T$ W/ n
[set note (note + item j ([credibility]of turtle (i + 1)))
' ?( X. S" Z; f5 K( z;;*(exp (-(people - 2)))/(people - 2))]
. U* G2 H' l3 d% sset k (k + 1)
# J; `4 O( K/ ?6 [, b- ~2 W]
! ?" s/ ^. Z1 l2 k+ hset j (j + 1)# {' @/ l( t0 K8 ]! J7 T7 p
]
& U7 ` ]- I+ Y4 D8 Hset note (note *(exp (- (1 / k)))/ k)2 [0 z4 m$ @1 q
set credibility-list (replace-item i credibility-list note)/ U4 h1 S! N Y; a
set i (i + 1)' ]4 ~8 U. }5 t) e
]2 S$ t. c# U J$ R9 P U
end6 e: z6 w+ F* U
# d3 S) @; u# d
to update-global-reputation-list2 G, _" K _4 R. u8 H
let j 0
; d6 I" s& p5 l2 Nwhile[j < people]$ }$ B) S; I8 H3 ^, T
[8 v1 \; P' \9 c+ i" s# V n+ e
let new 00 ~' `, U& j" R( n6 [
;;暂存新的一个全局声誉
+ x# s3 A7 \, k( @1 Glet i 02 O$ v6 s5 j6 X' d( ]- H
let sum-money 0: O6 C" y8 w; @( D* }$ U
let credibility-money 09 |8 P, M- b" j" f# K8 w3 r! `! i
while [i < people]
5 c$ k) B2 S* b, O* X[7 {/ V) E. M" D0 {0 _; g7 d( v
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
8 f) ?8 e2 `3 Z- S- Rset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))$ `# f; g7 g' `$ ]; u1 ^1 h+ K
set i (i + 1)! q) V$ y8 n; s+ `6 k: _
]% \, N$ S& ]- g
let k 0- g' C2 f q0 v; N& _
let new1 07 G+ B3 r0 y! a* d5 J) M& g
while [k < people]7 _* D! ?8 ~. I" V6 _) D: l
[
- n& Y0 H6 P6 g% C; M e9 a; p) Jset 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)0 U' z+ W: v! y4 C- ]7 K
set k (k + 1)
( N- T1 l0 C. H]5 k) j7 z7 }1 T9 J& M) g) _0 C o
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
7 ]! x& [ _& D L) Dset global-reputation-list (replace-item j global-reputation-list new)
1 R H5 M% r; xset j (j + 1)
# g5 c3 D! G2 i% z" u]4 _9 _% L) h$ W- J1 c( }
end
2 ?2 h5 c9 S2 Y3 W5 k& x4 V* Z% Z6 k" \! [
E1 R& T9 q; f/ ]+ Q
! B8 z! @. H7 T& U" I( M
to get-color4 v8 D) w/ Y% _, S
% [+ |' J+ a7 n; `
set color blue j! p" i3 i& D) v( f. V
end$ X+ m/ s) g$ o2 }8 `0 j! I
0 q- j D# t. u% a) S
to poll-class2 M# f+ h. U+ x# \' q5 z$ F
end8 q& y% r' a- h; |4 p
$ D' f- K1 b6 [' A9 ]1 }4 P2 Q
to setup-plot1- D! |1 W5 z8 h5 k0 k" U
' Y/ b' }4 E# e+ K5 `
set-current-plot "Trends-of-Local-reputation"
; G) ~8 r7 ^" v/ O
4 ~9 c( @, d; M6 Zset-plot-x-range 0 xmax; L3 ?; [2 Z8 }6 g j
: V9 }. A: A" l( v, U0 f' H
set-plot-y-range 0.0 ymax# ~6 C& [ U5 x, I7 y, B
end7 i1 W/ q2 |( L- `
9 h9 ?: a' d5 z t3 ~7 M Kto setup-plot2( }' w3 b$ k: U. I: T1 q7 S
% |( I0 m. r- c( z0 a
set-current-plot "Trends-of-global-reputation"9 R' X$ W" d8 h5 c' n. x
' t$ Z0 E' O2 l4 M) Nset-plot-x-range 0 xmax
" h- E! Z* S* G$ f' D0 p2 X' w: R$ M6 D/ i/ ?( q3 H8 d K9 s3 a
set-plot-y-range 0.0 ymax& ]; w% s/ }7 O1 k; J& C/ B
end6 ` u9 J. _, F) W) @0 M
) E: `% f6 Q7 e8 @! N" m; ^: Ito setup-plot3& I7 Q! p6 J" H( n
: ^" w3 b% V6 k0 n. D7 R/ |set-current-plot "Trends-of-credibility"
# o" e* W8 J# A; F8 u& f% a: F5 W0 P V6 l7 d: E; x; Q v3 z
set-plot-x-range 0 xmax
- {) b; E+ k2 ? E; \
W" d K/ ^* l8 x/ ]5 q1 Eset-plot-y-range 0.0 ymax6 p) l+ [: y9 v1 }
end
: ?: z" \7 {& u( u0 B+ {; J A
: y4 m# ?6 `+ J. fto do-plots" V$ V! `, Y/ U+ Y% H
set-current-plot "Trends-of-Local-reputation"; U! E+ r: A" [+ {4 j0 R3 n
set-current-plot-pen "Honest service"3 C+ b. F/ T2 s
end
2 `, v! I5 }! G8 D t( v/ t+ i v; t+ {- `+ Y$ p% Z8 B: t
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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