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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
1 Z' T& G. ~8 rglobals[/ I" C6 h( A5 `9 {3 f% l
xmax
3 v7 Z& j# O: }- [# jymax
& x% }3 s% `9 g9 i' ?( xglobal-reputation-list
, J2 i/ ?% N* f# T1 s& y+ S) g& g2 t2 w: E
;;每一个turtle的全局声誉都存在此LIST中, u+ Y& a# o: u2 Z4 P3 T
credibility-list
8 L" D( U l$ Q7 X: U1 h j$ l;;每一个turtle的评价可信度
& i" I+ j8 u- h7 F5 B( V+ \3 i! t& Shonest-service
7 Z! \: r( K8 j( w- C9 Cunhonest-service
; X3 S8 B. z) b, T$ s+ zoscillation( s; j2 J; m% U% u+ r, s$ e8 j
rand-dynamic
0 \2 p }( O) F* J3 c]
; D4 J& ? \7 v
M# O+ h) I3 k) _3 ?$ Nturtles-own[; o2 e! x* i$ {& {# W
trade-record-all" p6 z @1 Q" k' L1 j& Q8 X
;;a list of lists,由trade-record-one组成
$ ^# B* ]4 J5 @: rtrade-record-one
! B$ B7 \; L" s7 P;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录
; c4 q6 ~; m) Z y% H# |3 n/ D; r6 {. {
;;[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]]( |/ Q" S2 G$ f- i' E* x* C' e/ \
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]( f8 B( V W& o# b4 D) z/ g8 H& N
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
# F: z: N' q. z; Y) j6 eneighbor-total
, c! ]3 B! d! E- n7 {0 H;;记录该turtle的邻居节点的数目
6 V q/ [; C6 r6 K! g# O0 ftrade-time
1 H% y6 j. F' W! _$ A;;当前发生交易的turtle的交易时间
( ]. Y6 K! |1 d$ D( X. `4 Z! z) Oappraise-give
- l! j* Y7 C. z+ {$ h;;当前发生交易时给出的评价
& ]( A. T1 t* ~; Q; Lappraise-receive; I$ i7 [; i; V* `' B. U7 Y
;;当前发生交易时收到的评价
# I, x' z5 c$ c1 j0 ~5 E! aappraise-time. l, r6 | A; X$ B3 _$ J% \
;;当前发生交易时的评价时间' X# Z& ?+ I( c. H4 y
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
$ L% E. p" ?7 d3 k itrade-times-total
, Z. Q3 l, L+ b- \8 ];;与当前turtle的交易总次数
/ Y* U6 @. f& I( Z* Q! |$ Xtrade-money-total
8 w4 V. Y `$ F$ G;;与当前turtle的交易总金额
( g, l( D9 r; p, }# f Clocal-reputation# l/ @( p# f8 L: s! e0 K5 [
global-reputation. M+ x/ ~3 r; H! K+ ~+ K
credibility
# c0 l. s4 Y6 N5 R; x* A;;评价可信度,每次交易后都需要更新 }2 I# x, I- |$ B+ k1 {: N
credibility-all1 \. p" F5 a, r3 @
;;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+ H# _0 Y( N, K/ D5 o; T5 |% X0 N6 H
+ ]; e4 \( D+ 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/ ?, {% I6 P1 h" U$ G$ ?' [
credibility-one1 F# L- K" t" R4 E% `2 \
;;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- L% i4 w' H Z7 `& M# x$ }: L( ]
global-proportion
* Q. J9 N# ~4 y+ J) V1 T8 g' ncustomer
, }# M2 R5 r/ @3 Scustomer-no
! { u! P* e" K/ o1 Ttrust-ok
+ P; T( [8 T4 i& Ltrade-record-one-len;;trade-record-one的长度
5 U, g+ Q$ v9 |+ P% {' W]# Z- P+ @5 W7 a% f7 v* r/ w2 U" \ \% w* t
6 H% m4 t# s: Y& Y& s0 W" V( d# H
;;setup procedure
4 H+ i5 ? E5 F& d3 S1 u3 J) ~3 y7 v2 g% U- P3 H
to setup
: c; j5 f9 y5 b" b
8 H5 l9 T4 h8 U- mca
* x$ M5 M W1 t$ M' s- W; ?* `- Q! U$ |% n$ u; q
initialize-settings
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crt people [setup-turtles]
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reset-timer
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poll-class
0 o3 H3 k4 m+ P) ?4 y- A# u; Z5 T1 x; D# s
setup-plots
+ J/ P1 K: c9 {2 g" L" M$ B0 p4 f& V) r3 u( i1 ^, H
do-plots# ?2 j, A9 ?) |: V0 f' }5 ?
end
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# R Y1 y- f& k: ]; Sto initialize-settings/ t( t# O8 U; h
# [ o! g0 m, I. W z8 ~set global-reputation-list []
3 s5 Q9 `9 v3 D/ R& q
- r1 ? z' I8 N/ ~) ^7 Sset credibility-list n-values people [0.5]( R# | j/ c, Y& k1 Z3 ]- E" S! L
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set honest-service 0
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set unhonest-service 0/ n* Z) V# }3 s8 A
8 [" M0 ~( Y7 a5 G: a( A+ e7 ]8 Qset oscillation 0
; P4 R/ S1 }0 [9 z6 B7 w- \" E. S/ ~/ s8 m
set rand-dynamic 0
`, _' Z. q2 `9 rend
* p8 \9 `: L2 p8 {
+ k# g) Z6 G8 [8 H. G4 t+ D0 V6 fto setup-turtles $ h" n5 }1 U, p x/ s
set shape "person"' B6 ^- f4 T" u. j2 `
setxy random-xcor random-ycor; a: D3 W7 t; x$ b' A
set trade-record-one [] }4 `# Y$ b9 z9 d7 \/ f
/ _& Z7 M& r+ |set trade-record-all n-values people [(list (? + 1) 0 0)] & m. V4 ], m) N6 r% T \( m9 w
/ o* ]- C" T) v) f& m1 ~
set trade-record-current []" c; m/ w2 |+ U' `8 x
set credibility-receive []( e9 t8 V8 p4 K: |) l+ I
set local-reputation 0.50 T+ w# X; ?: y* f* T* G. Q
set neighbor-total 09 T" o9 K6 j; f5 H- u/ w
set trade-times-total 0
7 a2 `; s2 ?+ |5 n- x- wset trade-money-total 0
$ r9 E! v% l% Q4 Q* Wset customer nobody, O, y: c- H2 P2 [: n8 g
set credibility-all n-values people [creat-credibility]5 k2 p. n, ]. E6 X9 o3 L$ q/ u
set credibility n-values people [-1]) U% \- h% m9 X- }) }
get-color: g& T% @+ C5 C4 k. V
1 ^. e5 b+ N* E- { y- b5 o' S; Uend
1 k2 I2 w! z* V9 u& Q+ a4 p6 O8 p ~4 h
to-report creat-credibility3 \! F5 s \2 \6 \
report n-values people [0.5] I- A+ [( ~2 X) X3 Q
end4 F% _& C, \3 O
9 `2 m( F y0 o7 ~to setup-plots
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2 N `' Z+ o8 q* L9 K( F( M6 ^set xmax 30
9 l2 _$ I1 T- J Z6 o; [' h
3 e1 @ ~! _& ~/ B' Nset ymax 1.0
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clear-all-plots8 p1 X, R! ?! k/ b) ?6 F! a
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setup-plot1
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setup-plot2% I. u! \- {3 ?1 G
6 G7 T) G# C# l. m, F
setup-plot3
; z' d2 K. o( @; Nend
6 I( `8 |8 X7 |) E+ Z
& D ^. H) h3 n4 g9 k;;run time procedures& K! _( d5 W+ i$ [- E
7 [. s% V( n1 s; C& ]- \to go A0 a$ H. f. W- U# V2 y w
& g# [3 d% W/ I: W: h) d# l. h
ask turtles [do-business]
' |! Y2 Y8 S" d) Fend
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to do-business
b1 @2 F' P8 a: q3 `9 c" m$ X; R+ w. k; [) r
( k& u; {" z" r7 c/ B) |rt random 360
% w1 c8 |: X8 d; k$ G* L* B$ C A. j3 u
fd 1/ H( u5 |1 ?6 ]" Q7 I3 \" K
; ~' t8 S+ B) ^( x6 K: i
ifelse(other turtles-here != nobody)[6 h% E. k, a5 Q, ]
" ~, w7 l7 O2 P2 u! Y/ Z. o/ L
set customer one-of other turtles-here6 b. B5 P: y0 B" H& e* I7 I$ r
) @2 U' T- @$ H0 s0 x6 F( O;; set [customer] of customer myself
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V: L! R7 n' h# W7 L9 Kset [trade-record-one] of self item (([who] of customer) - 1)6 P& c4 T) Q; N" k. Q& w
[trade-record-all]of self
- _/ l P* b2 ? Y4 R/ M;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self% o) d. J) e3 o p, E" i
3 [! P& K& e9 L- \% W
set [trade-record-one] of customer item (([who] of self) - 1)( p4 u* O$ w' y6 H+ Q' ~' {
[trade-record-all]of customer+ C. x' x, b5 N) t! U, E3 ^0 D7 g {
. N8 \0 ]' i. C% eset [trade-record-one-len] of self length [trade-record-one] of self
/ o" Z- l6 a" i- C
# O; ]$ ~( j9 A8 Y7 Lset trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]
8 B) M* F% P0 E;;先求i对j的信任度
: _$ s7 S+ ]; ?6 e3 z& k: W
* R) a# h0 X. @& ^if ([trust-ok] of self)3 x, I. G$ k; S; H. p
;;根据i对j的信任度来决定是否与j进行交易[4 w+ X' q2 E4 K: f1 ^; w9 W
ask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[
. {0 c/ w+ f+ f% K0 s% h8 E& {1 X2 {# p6 k5 R8 b
do-trade
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update-credibility-ijl
7 i& w! x- }2 q0 T: X( O3 @! V8 x$ ]9 @
update-credibility-list) Y# L" D3 }7 e [9 I
8 |( W' [: s4 O, _
8 l4 G A! C2 G) G4 y7 yupdate-global-reputation-list. C9 l- Q- g0 |( p6 J
8 M8 F4 o. a' d9 r
poll-class. w' n* b/ E8 t
$ n7 g1 t5 i. y% D9 N! D) J1 Sget-color( O2 ~; m! q7 h; k
5 v& X, l8 P; c9 Q, {1 @6 b- I]]
( L* P9 R, K6 `# h4 ^' D, j
" X& ?' C y1 f6 M9 y;;如果所得的信任度满足条件,则进行交易
+ ?5 O& H- r9 Z6 t8 c6 R# z5 b6 s. u2 X$ }. j
[2 \9 \7 Z8 s& j$ C2 W) w6 I! X
) f8 j( e0 s$ u. h" k; ?/ k/ zrt random 360
4 f& K$ s/ l0 H, o9 H+ s) K U, T3 N: D0 Y
fd 1. g- x2 ?5 v9 S: f9 V
2 Q) L- x3 I4 t
]
2 k( s6 O7 W0 q- m; A
& {$ K7 \' H! c) fend
+ g4 V' d. \; Y1 G; e+ N
9 r+ A$ Z2 I% G: L5 B, Hto do-trust
& O& b6 E1 b6 T8 j7 i: Uset trust-ok False* Z" v8 E; A8 @& |8 [6 w
" H0 p5 ]0 T' e' c0 c5 F
/ O4 _3 N# r2 Q; f( I1 o' w7 qlet max-trade-times 0: P6 B- k# d( M
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
' w2 D$ S7 c9 D8 _. z+ E! N3 Glet max-trade-money 0
8 f$ m. v# [! p. N" l# C& ~6 nforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
* E- o* F Y9 y& p' plet local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))7 T; ]' P+ z5 ~& L
: R% t# l! Y: X/ k/ C
! B9 u- a+ y, M4 D: z o6 n- e
get-global-proportion& F4 Y1 R; j7 w. r4 Y
let trust-value0 f8 G7 @5 N) W% z
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)
$ E+ L7 f7 T. W) A9 Cif(trust-value > trade-trust-value)
4 ?" A7 ~# l% Q# m9 V; c[set trust-ok true]' u1 a0 V2 r# E7 k7 O
end
/ C5 Z: G3 F. \3 b
5 w6 S' Y2 [7 n: I0 Ato get-global-proportion! k- s. ?4 v! R3 N/ T* m
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)$ o8 m3 C' N& ?& n( ~) ~; P
[set global-proportion 0]
9 P( J2 t; b9 M2 k4 t2 [[let i 0; j% d! g$ j7 h% z2 u6 b
let sum-money 0/ c2 V( L2 N. E+ n$ n: c' l- i* r
while[ i < people]
& u% c5 u2 I, Y# |" o0 G2 K) s4 C[
# q, e5 ~' Y+ v+ |& Iif( length (item i
% r/ d9 X6 X, I[trade-record-all] of customer) > 3 ). l6 `6 a8 R) [1 S
[
* t) s# ]; q6 ]+ U8 O8 a% N9 pset sum-money (sum-money + item 2(item i [trade-record-all] of myself))
$ r8 c7 X! s; s0 }, C" c1 U3 ?+ []0 G8 N% m8 G c( E
]
; B# k6 J$ W3 {: j0 K- q. n( d3 t2 @let j 0
$ _% T8 a. T% g' o. ulet note 0: L4 H) B# d' ]0 Y
while[ j < people]# u/ y4 U1 Q2 K- z/ _ N
[
) X' v' q) d* }; `* M# l" yif( length (item i4 O' W* F; v3 L0 z, i+ A4 h
[trade-record-all] of customer) > 3 ) G% Z& a+ z8 g* Z. m7 z" Y* r
[
$ W( {* k( h( d' F z3 ?7 rifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
9 i8 h) Q) v7 G+ K[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]9 C$ V6 P+ ~' x/ s. F% |$ S
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
9 ~- A; P' a+ r q]
: k% W0 G2 I5 e' m+ X- H% q) l]
% Z( d# {- {9 C- @+ B/ Kset global-proportion note
1 g" v3 O& z. B& o: T/ p, t]
& J9 b. g( o) nend1 K) F1 Z2 c3 D
: k+ k) s+ `% X$ d, ^5 ~
to do-trade
9 s0 j: O+ _* H* l2 C# [' t9 l;;这个过程实际上是给双方作出评价的过程% Z- v- s8 J$ `# Z6 B
set trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
4 X+ _7 z' w6 v( o% s2 Qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价" T/ o: M% j/ n1 t7 z
set trade-record-current lput(timer) trade-record-current) I+ P& W2 O! E8 H8 u1 Z
;;评价时间5 G3 \' w3 ?7 ~
ask myself [
6 R9 v; V: I7 t7 X( Mupdate-local-reputation
3 x% B' s( q8 d% kset trade-record-current lput([local-reputation] of myself) trade-record-current) `$ k2 u+ ?( n( P# I4 d, O
]
2 d& I3 [' G3 j/ Aset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
( w! B! j8 D) k! P1 j;;将此次交易的记录加入到trade-record-one中
' x% O! z6 }) x. kset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# p# W# h5 _9 j7 D
let note (item 2 trade-record-current )& l) @2 d) `, A) a" J/ b0 [# s% k
set trade-record-current; m5 w2 m0 X. U4 g
(replace-item 2 trade-record-current (item 3 trade-record-current))- z' F" ?4 R& M/ I& m) Y$ L
set trade-record-current" T# O( C0 [$ t) y8 h5 \+ q1 e
(replace-item 3 trade-record-current note)% _5 l/ Q5 |$ v9 r# V
) Q2 N" B' y. O& c
: J* J% ?3 {3 E$ d
ask customer [, `% v: t9 o. @& g6 S R) a/ H* x
update-local-reputation) z( \" U& A5 k. q* y: \
set trade-record-current5 p" J- O6 M" b+ b6 T
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
' `. X& z6 I, V/ b9 j' t( {]
8 ~- r. B3 P6 w9 A- J3 \; x j0 s% a2 ]* o
3 _! v, j) x- r8 a% T, d
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer p r$ o2 L7 g9 P4 w! H" ~* k
0 q+ X4 C4 z: Y
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))% U0 w3 D" B q6 P' z, M; `
;;将此次交易的记录加入到customer的trade-record-all中9 ^ V, B {2 b6 S' v% U+ o: f
end
/ L$ U/ U l: x& W$ i) i: m3 a( V; g8 M) H3 R1 E
to update-local-reputation
$ W7 A1 L+ a% d5 q, d) Vset [trade-record-one-len] of myself length [trade-record-one] of myself
$ [6 B# t, x8 B/ v5 f$ p9 e3 {) G/ s
* `. k3 z1 g. d: Q8 j9 N: d! T0 B
;;if [trade-record-one-len] of myself > 3 , x2 `1 f5 b- G7 J9 H
update-neighbor-total
/ \- Z6 ?/ p# K( O;;更新邻居节点的数目,在此进行6 p' A! d* I; u% z O1 h3 N- a
let i 3; a6 M5 \. v- }1 a l
let sum-time 0$ d+ y: |9 V! B8 y& e6 L! ^- P
while[i < [trade-record-one-len] of myself]- w% K( Y" L( Y* x- _! U4 l7 }+ V
[
+ m O/ P# E# s8 E1 rset sum-time ( sum-time + item 0(item i [trade-record-one] of myself) ), @" e; m B2 Z* k$ g# g( C. i+ R
set i8 O. H9 r' n! z! V. l$ `% |
( i + 1)
9 d5 K, K6 z$ e! f$ U) o8 T]) P& ^/ u5 @4 Y3 ]% M1 _1 N! Y
let j 3
- F# `6 e% z4 h+ T! h9 j3 N% Flet sum-money 0, |: g! G5 {7 V B4 B( s- M0 z& _
while[j < [trade-record-one-len] of myself]6 g# p6 |- Q. {) P. T* O
[
/ [, z' Z* z0 Sset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)6 X8 B0 k5 q; H' ~" w* v+ `
set j
, o$ Y1 ]3 {2 w% u. `+ y# H( j + 1)
: W, u* z6 ~* e]( F# z9 T( @/ O
let k 3
5 G) W# Q* v5 e0 v! ~( g' {5 llet power 0
7 x/ ~( @. G/ x+ _$ Y, wlet local 0
8 `$ d4 J: Y2 }! Zwhile [k <[trade-record-one-len] of myself]
8 {2 q/ F$ b4 A! ]4 P8 _$ G6 t[
$ N* F4 Y, D7 c0 \+ Q3 U; tset 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)
- Q9 e1 J% R% R, Sset k (k + 1)( u" ~9 [& M' F1 I* k0 F- h
]6 w3 m$ e; L! A8 f, Y
set [local-reputation] of myself (local)
, v! j/ n7 }3 v5 E* {1 yend& I4 Q+ P5 O0 [0 s* N6 f& O: F* u
; n3 [3 d1 Z6 h; v" r6 |to update-neighbor-total* d9 {! ^: v5 W$ K$ v/ \; k
5 p7 ?( s( H0 t0 }; u/ A% K3 X: A! Gif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
+ Y6 r% U% G5 A. A9 k; }0 k1 @2 s$ z/ U0 o5 O* ` o3 D
" w; b- U$ S" x" L8 F1 }
end9 J6 ` X/ Q# f F( I8 Z
y' R% d; |) d# o6 `' L
to update-credibility-ijl ' y& m# S- Y" F0 u Z9 y2 x$ G
5 F% S* ^9 `: d0 `& C;;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。
* A$ K- j) r |4 ?let l 03 Z$ |& q% w, I' F
while[ l < people ], J7 m q. a6 m6 c* E4 D& G
;;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" R0 j& Y3 j1 j3 p0 u# I' i
[3 l0 c* p$ b% L \: D: N8 ?5 P% D
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)) F! c, I% n' o; X0 L6 U
if (trade-record-one-j-l-len > 3)
0 Y9 |* {% {3 @3 J[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
% E4 `$ k. I+ |: a3 j2 N( Qlet i 3: T# i8 j+ ^& U
let sum-time 0
+ o9 @$ v4 |' {+ t4 [9 Z) lwhile[i < trade-record-one-len]
* u! c% `# J4 i9 T& C4 u# R[
9 i- b, `9 V9 `. iset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
2 H1 S' ]5 w7 @6 sset i+ O4 N# b/ ^ N( |
( i + 1)0 J: N; [3 c- E; t6 G% B
]$ i6 o2 V2 D6 j9 F
let credibility-i-j-l 0
; t$ A4 F5 o' V! {1 T5 r6 j6 c;;i评价(j对jl的评价)
0 m$ ?$ p0 N& \1 _let j 33 m q6 g% p! s: \+ l
let k 4
0 V* b, R# ~: r0 a7 F" t# C. Ywhile[j < trade-record-one-len]
, B; }+ w6 K& H0 D2 W3 r[
4 S4 r0 s6 d8 o2 ^7 owhile [((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
# G+ V& _& e3 Bset 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)
6 m2 o% o, y* k' b$ Z6 ?, S5 Z) uset j
& u. U- t0 J+ B) }; V- B% F( j + 1)! B3 x, J0 l3 u% P2 x
]9 [* r/ X2 {7 _$ {0 t1 n3 n& w
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 ))# u( i2 D9 z5 y" m( ~( X
a( i0 B5 c8 Z2 W6 _4 {" @" N! a ^8 w" z/ k9 m" }9 P( W
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
l! R& ~+ r: [0 m. L' G% H;;及时更新i对l的评价质量的评价
! t2 f; v" S3 _* [% g' H3 [$ Xset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]. V' ^8 h1 ?$ V8 w
set l (l + 1)
# m1 C+ t) U: D( C2 k$ o. b]
7 i% r4 s. s3 p4 Mend
( ~& W* v2 X1 k' J# c* c: U/ o2 V; G; s( C/ f% J
to update-credibility-list
. c! ^$ }2 o( w! k* ~& m5 T- B7 _let i 0
9 v% i. X9 s' fwhile[i < people]# F6 F0 M5 D9 B) I+ ]' @5 Y
[' M+ O% H7 S0 X, z
let j 06 _" S3 L: K* x* w9 q
let note 0+ ~& X8 S; K0 _$ s3 O# E5 v
let k 08 l" C/ z: M# ?4 T. ]0 I
;;计作出过评价的邻居节点的数目2 \; S% @/ `, X \2 R4 x( }
while[j < people]
4 q! k" z% J9 v4 K3 j/ z2 O[
& @# v, U' s0 K; M: N& j7 `if (item j( [credibility] of turtle (i + 1)) != -1)9 y* h/ s$ z8 N+ _
;;判断是否给本turtle的评价质量做出过评价的节点
; m/ I' l2 H x; x2 \! T[set note (note + item j ([credibility]of turtle (i + 1)))' R5 C) j. \9 m; O. x
;;*(exp (-(people - 2)))/(people - 2))]3 W: t- a4 y9 C
set k (k + 1)7 g. z5 s4 U5 g! {' W$ N
]& }5 ~" {" I, n l
set j (j + 1)
/ O# y, A. }2 O" u' T- A; k5 M]) z0 {% w8 V6 N6 a0 a8 ^/ _( @
set note (note *(exp (- (1 / k)))/ k) z0 i5 M$ p& }" _9 ?5 {+ |
set credibility-list (replace-item i credibility-list note)! m: [6 V& O6 i+ T2 O& T% W
set i (i + 1)' {( }# Y+ |6 [8 [/ x
]
7 ?: [! y. ^; D* [- x# T0 A/ Aend
' _+ f- @) m) r$ ~3 z
/ q0 W& o4 ^* N9 s# T- _, C- N" Bto update-global-reputation-list
; ]/ U; z. ^% e. alet j 0
: k Y! o P9 Swhile[j < people]0 q/ Y& T( ?) o, e4 s
[
5 O( T+ M R. g# a6 u5 [7 q& N; vlet new 03 ^) B6 z" D* k/ _, Z. w
;;暂存新的一个全局声誉
: t# J$ ~/ T u3 tlet i 04 o; V1 H5 Y) r1 o! |- m
let sum-money 0
* ~1 @/ @- ?& b% v3 f) g) I Wlet credibility-money 0# b4 S. h8 a$ ~- Z
while [i < people]
* R2 U7 `0 R! w) O3 H2 f% n[' I6 e3 R! v5 d" r( m; O
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
" V2 B, g: q% s/ vset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
( i5 Q- b2 t, @0 a6 H& c1 E' Pset i (i + 1)
- k4 i; K3 ~' p9 H( i# e]
0 v9 _ C0 Z1 w) O% ^2 D }let k 0% @8 f6 P3 V+ Y \( d5 |
let new1 0
, q' ]& H# {3 y1 l2 _) swhile [k < people]' d1 F/ Z1 v' h0 R
[% S" I1 E2 U3 L S' H
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)
1 o( F2 `$ W, Q5 t3 u& ~5 N2 |" F; Z+ `8 ~set k (k + 1)
& S3 ~/ ~; b b- @( C- o]
- M; W3 x/ x2 ]# C! q9 yset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
/ Q% v7 n1 g5 J, T/ {# Jset global-reputation-list (replace-item j global-reputation-list new)) T# } K0 [% y* {. v, o# g: Z# m
set j (j + 1)/ f/ s9 F) S7 M* _' P
]9 d/ p& F( @9 j z) q; ~
end
0 Q5 c6 s% h. R3 I0 I
/ o9 i& A: T) ~; j6 _2 Q/ Z
2 b Y, f% P; f L* l$ J# C) n. P" u T( i' {) V X
to get-color- k9 c% [* w! B( @
7 Y i3 X$ t) ?/ e ?
set color blue
, F. n+ d4 x/ h9 |- v5 `& cend
" H* v' t4 K% M/ v; j$ u$ W% k c1 D
to poll-class+ v7 B2 o9 H% j. Y$ j/ v2 d) P% r
end
1 x* j0 q! ^* V" S# @3 y8 p1 q+ @( h: t+ O
to setup-plot1
; l- K2 Q, A8 J8 G9 M6 O: i, x! e$ U6 z
set-current-plot "Trends-of-Local-reputation"
2 H8 {4 R0 ?/ R. v. Z( m4 Y5 U4 Z# p; _3 F- J' s# s7 k
set-plot-x-range 0 xmax, z( D- u% p+ C) W
4 y( J7 S' |% n2 d+ `* V
set-plot-y-range 0.0 ymax
$ D- d; @* C1 \" E( f* g& U& _0 Iend
/ Z" f5 X/ \9 d& R
) @8 r7 ]- s1 A% y+ {2 D, E: dto setup-plot2
0 g9 F3 E" |# e. S# {, J Z
6 C, h7 I1 s) }set-current-plot "Trends-of-global-reputation"
6 J. H" D& D+ n0 G9 `: B# }! K l6 t/ e6 L+ A& h
set-plot-x-range 0 xmax
. p2 _: g4 x% E7 z. C O. [
6 Z) Q' ]. v0 `0 Yset-plot-y-range 0.0 ymax
) [% [& a; C; P- O; t+ t7 X, jend
1 Y2 o& D" Y5 z5 y
/ ^& j2 ?: v# ~# Cto setup-plot3
% N* R, _' s+ X
0 O% P& J4 p- Qset-current-plot "Trends-of-credibility"
! T5 ^3 Y2 b$ _0 F9 h9 p+ A( }4 K3 |8 z
set-plot-x-range 0 xmax
/ t9 p1 l% @8 v+ Y
' q# I8 o& F. N: [( W$ ~set-plot-y-range 0.0 ymax. j: K5 Q& u+ W' F. F
end, Y) o1 b$ G7 k" v
4 a7 |1 e# v3 i: r1 M6 M' yto do-plots
3 V# s4 s l, lset-current-plot "Trends-of-Local-reputation"
& c/ z6 Q( R0 f1 } H; o% _set-current-plot-pen "Honest service"5 P. }# L# Q8 q, ~$ r+ @2 ^
end% \0 X6 ?2 p! k. m- u
; O! j! s+ Q& R! ?) y[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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