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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
, g. g4 }0 o5 q& Y8 l. Cglobals[6 q1 F Q: |- U* z$ i! q
xmax
# c9 c! }; V% [9 P2 K8 @ymax
* v3 S+ U- D3 j% Kglobal-reputation-list/ ]" E( b- T/ `( Y; I+ f
. H P# \8 ~2 X$ {;;每一个turtle的全局声誉都存在此LIST中
; ?; }( i7 t& K5 y' Wcredibility-list
0 z% u% m! q6 f2 q. `;;每一个turtle的评价可信度
* z, [( e) T$ F1 uhonest-service
# o! d6 p5 [6 q. F" r$ C5 Sunhonest-service
; W9 D- Q0 z" R8 \oscillation2 \/ w9 X/ I* A# h, N8 U1 [
rand-dynamic. X! }. B) T2 G
]4 j1 n$ u0 G. b) `
~* {; }; E) H1 h. N& Bturtles-own[
% `" Q n" @6 \; }trade-record-all5 |" L9 J2 ?& d! t6 ^! q
;;a list of lists,由trade-record-one组成
! k9 ?! w+ B! V! ] ?% mtrade-record-one7 A7 }& C. r* H$ v
;;list,trade-record-all 中的一个list,作为暂存用,记录两个turtles的交易记录 H. P9 c6 F1 ~" Q1 X1 G" l5 M3 W
: t- G2 _6 k) _; L& v1 P Z
;;[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]]$ Y4 k- ^5 [! \+ P$ w+ T
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]
1 _8 n- R0 M) F2 d0 hcredibility-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
. {( h2 G; w1 cneighbor-total
( s* y: L4 E1 B9 B) W& m;;记录该turtle的邻居节点的数目7 Y2 q, K4 L: h$ _6 }( t
trade-time% X# s7 N0 O6 f4 K* v5 |3 y
;;当前发生交易的turtle的交易时间; c, n+ |( h& E o5 H% a
appraise-give! O4 J5 S4 c4 _2 \; m
;;当前发生交易时给出的评价
$ R [+ A* J. f( F2 o. fappraise-receive! M6 d1 g3 \6 a- w" g0 m
;;当前发生交易时收到的评价$ B7 D& @7 H4 f
appraise-time0 z+ K; w! S) ]" e L# u' f4 `
;;当前发生交易时的评价时间
% L* `8 t0 j) i1 k0 W* t/ qlocal-reputation-now;;此次交易后相对于对方turtle的局部声誉" F) ~* Y. G# ?/ K. A, P
trade-times-total/ `0 D& N0 n, w- S. e& J- z
;;与当前turtle的交易总次数
9 m- B) I A" T2 Rtrade-money-total
/ F* t9 Y$ ?8 ~* m0 g L* l; e3 u;;与当前turtle的交易总金额5 m, @& `* w) h3 y; @
local-reputation* X. [0 b4 T. V* G0 B; y* s2 j4 ]1 N
global-reputation8 r) i* c$ q. T, w$ r
credibility
5 l( Q- @$ k- S;;评价可信度,每次交易后都需要更新( X. u* S2 T, ]# K, k
credibility-all
) H# ]8 E# y7 A! {; V4 c, w;;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' i1 E2 z# g9 C
, q- S) s; f5 R& Y;;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
' m4 B. Q$ k, o( Jcredibility-one/ F( L* U1 f3 l. b8 Z7 K
;;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
" I4 V* X- {4 ~4 b( W( a/ ]global-proportion
) m# N5 R/ Q* rcustomer
W3 U. g% u# V# g- V7 X% x- U3 O7 qcustomer-no8 p7 m, J6 ^0 l
trust-ok
. p2 z# U/ m+ E( q+ Ytrade-record-one-len;;trade-record-one的长度
7 Z2 B0 u. P) x; s* `' U1 e]
* a- M3 K9 K! \( w* x# y5 ~; w; t) b! ?/ Q2 j
;;setup procedure
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* E3 e" v/ C5 M1 O( K: P1 ?1 Z# ~to setup' b- c1 o. U1 y7 g4 B
5 W( E* Y5 q4 E& zca% Z1 ^0 h8 j% [) H5 W
9 Z( E6 \* N6 h5 s+ R
initialize-settings- w- g/ b" {* U' d# |
: A* _( s: e m) C+ A8 K* ]: L" O
crt people [setup-turtles]
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% P' U+ c9 W2 \reset-timer
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poll-class/ ~* Z- Y1 _- K- [6 q. g
4 k9 [+ d9 m( M. u% fsetup-plots9 m9 {; ?5 l) m. }& \0 W
6 O' |- F; h6 O! b2 L( @% l
do-plots4 W5 F, z6 L" y' u6 G8 g
end
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to initialize-settings8 h# K7 r+ W+ C- Z* h) M
* R" D1 e: U# R+ Rset global-reputation-list [] o% v3 B2 q7 C: _7 y# C
, j3 ?3 h1 h9 K" H7 v, Y" ]set credibility-list n-values people [0.5]5 w+ m7 \! v3 M$ W
$ ]3 w& Q) v! ?$ @" a' M
set honest-service 0# M% q: w+ [; o
) K3 A' N- W5 b! H7 Iset unhonest-service 0
2 I) e2 ?; h4 e3 \( E9 e$ f
/ Z1 ?: q( R5 cset oscillation 02 D0 W" Q2 w' r' V3 F* ]
, X- o0 h5 H3 w3 y) Qset rand-dynamic 0, _' j/ c: k. a3 `" O" v
end8 e$ \! \7 E$ B, N: r& k4 P, B8 Q
4 G* u: H' {% ]* Z; ]to setup-turtles
& \6 z% d% V% i* oset shape "person") [- f7 ^$ ]9 B6 A- s, T
setxy random-xcor random-ycor
" o3 H1 G! q4 |; ^' `set trade-record-one [] e' y! _- N9 V2 s7 j8 Q2 S7 x
% `# y' Q# M( e9 ?0 q% W
set trade-record-all n-values people [(list (? + 1) 0 0)]
, U2 g5 w# X1 S+ U5 g& `* C1 R! v, d% x$ \+ Z! _* O% B
set trade-record-current []
; c! r t+ G( Wset credibility-receive []
- U3 Y0 G: p1 y! Vset local-reputation 0.5
1 i' x' D& n8 p# cset neighbor-total 0
9 C3 s# c; x0 z/ s$ j4 g: qset trade-times-total 0. g$ w* f5 _: x
set trade-money-total 09 h" B. i9 j3 L5 z. F9 u& c* \3 K
set customer nobody
# v; Q/ k! G' i1 n. y# Eset credibility-all n-values people [creat-credibility]
1 z5 E2 z, K5 i$ [& H' tset credibility n-values people [-1]
?8 T* f* i5 E! s8 M: Dget-color! J2 y. ~3 k8 S# i
$ ]3 f5 @1 Z9 \4 l) z- dend
~/ `5 N# }+ a0 {* M; Q- e" f/ \3 ~9 \* V) k! m& U
to-report creat-credibility
$ Q5 d# V' S, r Nreport n-values people [0.5]
6 @7 X+ k9 S) n- H. Iend
0 b# M' W! Q1 z1 m2 B. N, v. R; [9 n1 P' d, y& H' t2 T
to setup-plots0 l/ z5 w' A. H/ k" ~5 t
( h! X0 G4 g6 ^& s ^set xmax 30
7 |! ^3 Q. d; x/ a
0 J+ ?& V1 f. F \+ c" Pset ymax 1.0; j! z o- L& c$ z6 `) o
2 G# W1 J' n7 _% ]! }6 iclear-all-plots+ K# M/ F1 s$ @& t$ N) t: a, a
5 p4 N) T+ g4 z0 l" O2 B1 r8 q
setup-plot1
8 j/ R5 K( n! ]: L
& G- i& l0 I. Z9 h( m0 O7 xsetup-plot2
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setup-plot3
0 n0 I- Y2 m6 xend
: @: G4 K/ ?# N# }8 T
8 Y: {2 b+ |5 B3 O# l0 X;;run time procedures
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to go
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' v ?8 c4 ?# y+ mask turtles [do-business]* N2 r" ^) c9 m( ~5 {% u
end( G) F; c* O- h _9 i$ u; K
0 ~! e; y. @. O% ?* [$ \to do-business 2 i: H$ _: ?: K
: N6 k- g2 w, O3 x$ ]; y
& C5 f% u0 A* A
rt random 3602 i) t7 V9 w* r) H
7 y1 A5 H) t% x# }: j
fd 18 N5 q6 L- e; [! u6 |6 }2 F( X
" \7 T- u% e3 ]ifelse(other turtles-here != nobody)[ O q- q, G3 ?* X
. [1 Z4 Y2 y! E5 c% ^3 @! Wset customer one-of other turtles-here, B6 T# ]+ c" c6 z, s( D/ u3 Z
4 v7 S p+ r! E, };; set [customer] of customer myself
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set [trade-record-one] of self item (([who] of customer) - 1)
# b, b3 K! z! H# ~& F, I9 x[trade-record-all]of self* m9 K$ h# ^, X
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
! K# D$ r, | ^# b. A
% C, t) M5 o M' v2 {! Fset [trade-record-one] of customer item (([who] of self) - 1)
: Q4 E0 b) _( |" I2 Q( s[trade-record-all]of customer! @3 ~4 K' _( H9 u
8 i* n+ |6 J5 Q& x
set [trade-record-one-len] of self length [trade-record-one] of self
" z" `9 V I7 y$ V, d/ r! }+ z5 m+ R& Z. m
set trade-record-current( list (timer) (random money-upper-limit))
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ask self [do-trust]. N5 T7 B# W1 R; c3 M. t
;;先求i对j的信任度2 j* c5 v* z5 e
# d# {7 e/ U1 a f# ?; h0 H
if ([trust-ok] of self)6 d; U! m* R2 e/ i {) E4 o# Z
;;根据i对j的信任度来决定是否与j进行交易[
. p) g. F' O- }+ eask customer [do-trust] if ([trust-ok] of customer);;这里可能会用到myself
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[* }6 G# X1 P* Q
7 V/ y# d( c( x/ H/ p; c
do-trade2 a1 Z2 L9 K7 _' d
9 r6 g1 ]" I" R$ oupdate-credibility-ijl
0 {1 G7 C* x. j7 a r
; c8 o9 i* {+ G: N5 T- \& Supdate-credibility-list
8 r3 R0 C4 P. P x% s& m) D8 X* U* A" E( H
; `. k5 ~- z) x# Oupdate-global-reputation-list
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poll-class
; R; {1 n: D0 _ E% t$ q
. z: w- e2 B8 E5 @; R; d nget-color, ~9 ?( T$ f( b4 B8 O
* q6 B+ \- t. n9 f2 p# u, R
]]1 b+ q% S/ y) a7 X& R/ {; Y
, q7 T2 ^ n* ]2 Z3 C# |, |;;如果所得的信任度满足条件,则进行交易
, ^/ N) h" `) N3 F2 M! ?/ V
+ w. p: J. h4 K) q _' o' V7 o; i[. A: p, c) [9 Y6 |& v- p$ g
5 Z! E! h- t6 @$ \ X. S5 b, S& Krt random 360' `' N9 C8 v3 K8 v! Z
. i( Y' W7 M/ |/ E4 t! \! h5 {2 B
fd 1
5 Y. Z6 ^' I/ n$ q1 W
?/ W; S' J/ |6 \+ a, v]
0 X# A; u b' k
( P+ m2 S O. Jend3 ?5 F: J0 N5 R8 q- j
5 p6 |" m b+ B9 u8 J
to do-trust / B2 v. H; w# M: R/ A6 g! j7 j* t
set trust-ok False
3 D! K$ S S6 {6 ]0 k$ J# g* U; ^' T3 H# w5 w, v
5 ?$ ]$ o; ?4 V7 I6 V
let max-trade-times 0
+ R3 g+ ^* u" C+ r/ xforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]* ?7 D& H' o3 w/ I
let max-trade-money 0
5 U2 b, S* x- W) n2 lforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]( q) ?; ^3 g/ c r
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
, x! ^7 y0 S( T
+ x7 @! @! c# h# U% E& d% U: p m& [* C) l" E: M; N) Z
get-global-proportion
8 N8 D) Z; @7 W/ clet trust-value" ?, }( w# V/ h1 H# [, s4 P
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): V+ Q' |3 A" [. f
if(trust-value > trade-trust-value)1 f' ~+ U( G8 U! S8 w5 Y
[set trust-ok true]
7 {% S- l' x. z- ]! \4 c- y5 v( Uend
# i5 C. L4 [4 q$ \
! }4 @. a! U% {2 e; z$ l; J' l/ ?to get-global-proportion7 n( _4 G' K# A* s7 M
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)8 u) G8 N: h0 \# e X' j
[set global-proportion 0]
2 D/ ?' S# q$ Z, C; f9 W4 C[let i 0
4 I! ~8 O- L3 S- \0 Tlet sum-money 08 n$ T% g( z" T) o1 }
while[ i < people]( v. A; l! Z7 w9 y+ Q9 u
[
& c, Q7 y% W3 }) s# M4 G6 V* i" kif( length (item i6 t" H# A4 R7 i3 z' y S) Q& d
[trade-record-all] of customer) > 3 )$ P; V& M/ E; V7 u: ^ B) n8 x
[
8 t+ {: t! `! E6 g7 t' Tset sum-money (sum-money + item 2(item i [trade-record-all] of myself))% z& A7 t- u6 l5 c2 l( v
]$ g8 j2 D% x4 w. g6 x
]3 Y/ ?# v- N) R7 }4 |
let j 0: p7 Q0 V( y0 X$ u/ k1 }. P, i5 n
let note 0# O l3 ~% G4 o+ d6 z
while[ j < people]. K) d* y: M! X {
[- ?' B I8 R- @6 }' u, g/ u# W
if( length (item i" Y+ r% n: _& G
[trade-record-all] of customer) > 3 )$ F& ~! I% D5 f5 |8 y q& B- u
[
9 N! P2 J+ ^, Kifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
7 u4 @- Q! ?% R& j3 x[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
. k p( m, h4 [& y[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]
2 p8 t4 }0 _: n: l4 e: O]2 y5 V- F, X0 L/ M5 E# O* c5 L
]6 \* v2 @$ R/ O' q. @, i2 @
set global-proportion note6 M% F& Y/ ], K! @3 B3 R
]8 S! L/ a! f* {
end4 d6 B2 ?9 M1 ^ c; \+ z
7 a9 J- Z( j$ v6 \8 y0 {. y8 \
to do-trade
- a# X3 L6 D" _: @2 i7 l/ i9 N% S;;这个过程实际上是给双方作出评价的过程
/ t8 F7 U- U* [9 h1 K2 h3 qset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 得到的评价
* o' f7 L! w$ w, C7 bset trade-record-current lput( random-float 1) trade-record-current ;;本turtle 给出的评价
0 W; M: ]. p! q3 I& i7 dset trade-record-current lput(timer) trade-record-current; _! P. h, d: r7 v7 K% Q6 ~
;;评价时间
) f6 s7 }& x" f* k5 C4 xask myself [# @. Y8 c* L6 o- L9 p, d( v
update-local-reputation
m: W2 @0 g, @ M' v/ k4 nset trade-record-current lput([local-reputation] of myself) trade-record-current
) t1 T# P* {' @* c5 ?]
+ l. Z- k( i$ r5 ^set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself; n2 J) \/ Q1 r; j6 o: D
;;将此次交易的记录加入到trade-record-one中
5 ~/ Y5 D8 o. h. ?, V( nset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)# L& }" ?" J4 M# }+ x3 x: z+ p7 e1 l
let note (item 2 trade-record-current )
3 U% [- I& f7 t bset trade-record-current
6 ~% }2 f$ Y# M' V" O5 ^9 S(replace-item 2 trade-record-current (item 3 trade-record-current)): W6 t0 H; [2 g0 g/ f4 m9 x
set trade-record-current
4 ]0 d! ~9 m2 Y& l' J" n9 x(replace-item 3 trade-record-current note)
6 u" ?! x8 h3 j) x2 d) r- `9 k- G" t; H% p% ~
) T0 J" P, c- t+ R
ask customer [4 A1 H: E- ?7 E0 B A% F
update-local-reputation6 Q- V1 M8 X- A F; S S2 @9 {$ y B
set trade-record-current
* t: {0 j: c: R8 [+ H5 v2 [(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
7 Q& ? p- Q; H8 m% ~2 `]5 ?4 ~8 P+ ^; I$ m/ y; D2 k
! ]& t* }( p3 J
} a j4 n* L1 F' Z# C- [: ^6 Xset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
$ x: F. u, Z; k
) L3 Q# O$ _3 L3 M7 aset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))& K+ S4 L/ g% a+ A
;;将此次交易的记录加入到customer的trade-record-all中
) W# ?* e0 Y% Gend; x/ s1 u" X$ K5 r, w9 o
9 N ?+ t# U% ~6 [
to update-local-reputation
B2 Y1 G5 H7 ~# @% M% dset [trade-record-one-len] of myself length [trade-record-one] of myself; _5 i% b& @6 c+ U4 g0 z4 q$ _+ H
% t/ |9 a) z' c+ p9 o- A V B+ w
7 [5 Q5 r$ Y( J. C0 q;;if [trade-record-one-len] of myself > 3 ) T* T! k, X6 U3 F
update-neighbor-total
^7 a- x( X+ ?* @( M9 r;;更新邻居节点的数目,在此进行
4 P5 q" [" G# U! B/ |let i 3
, H- G' [, A* I; h! Vlet sum-time 0# X+ t' y9 ~( F
while[i < [trade-record-one-len] of myself]9 x) N- _, e5 G% l! q
[% f- W" y: ?# `; o6 ]
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )( u1 p. I, ]7 p6 l% K' e0 U0 S
set i
+ l3 m" h8 M; Y4 B2 E0 R; \( i + 1)
6 ?: X, ~: s0 P( m9 Q# I]' }; ]6 _+ |/ Q5 V1 k
let j 3% f+ d( l- q" s3 l
let sum-money 0
' P, R, ~ w: L- T1 T: w) |while[j < [trade-record-one-len] of myself]
. s) A4 Z* d! e7 B7 q$ @[
" E7 h5 R% F, s) q$ i* 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)
# M8 ~' u1 J/ Y, L8 S: dset j
6 n" z, d" j; C( j + 1)
6 p+ K( C9 F: R+ n/ F; [' P8 A5 e]) f7 N4 y$ E3 J* v' |5 O N
let k 3; p2 C% e" `9 s) `7 P0 w# i) ^
let power 05 S/ s7 k ~4 q- [0 z" p
let local 0/ j7 a) d7 ^" `5 R
while [k <[trade-record-one-len] of myself]
: o1 D J% O5 n* R[
) z2 q. R9 ?- u* q7 n9 i, R$ n7 k' mset 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) 3 ^( O5 q8 `+ `) F5 M* W/ I* Q. g
set k (k + 1)% L( Y( m5 Q2 p2 C/ r7 X. W$ [
]9 f: L. [$ n, ~) u
set [local-reputation] of myself (local)& d- A% W% B6 u. _' @0 r! e
end
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to update-neighbor-total
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if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
$ ~% ?3 S% ?8 y5 H K$ J. X* x# r' T4 ]7 H4 a2 x% Y
) ~7 f4 M( d& i( l0 Lend
0 ^) B z3 {6 q' j9 Z! v! Z: m3 z0 N+ d% A: H
to update-credibility-ijl # x# _' O# [6 \: Q
* K8 ^% |# P3 [' b! D3 v0 _;;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。6 I+ V/ S- |' \$ w* X) ?; B
let l 0! G1 x( R+ ?( O" M/ |5 @, w6 J( ~1 O
while[ l < people ]
( G2 p `$ M- o' 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
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let trade-record-one-j-l-len length item l ([trade-record-all] of customer)" ^) S6 O7 V1 U& H3 v, E
if (trade-record-one-j-l-len > 3)! h1 L/ B3 d3 X; o$ J1 }' s
[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' s+ n0 W+ {+ C! b) Q
let i 3
# ^5 h# U* ^7 d2 H% s* P; V5 x' ?let sum-time 0" `- O3 Z9 ?: h4 k, @: Y
while[i < trade-record-one-len]4 N" B% U" W# n+ d) m
[1 e D7 T0 v: c! c) {) ~& u: ]
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
( _4 \0 u& h2 n) ^3 j0 t. rset i! Q- ]5 _4 p, r( b+ n& }" d' v
( i + 1)
! u: J: X8 {$ U G]" { f0 H; x4 U0 H6 U7 z
let credibility-i-j-l 0
' B0 Z; o* h! \7 s5 c5 t;;i评价(j对jl的评价)7 M0 o, p; X* p0 x
let j 31 f2 H! Q j% o% f
let k 40 W0 O) [2 m' e2 w
while[j < trade-record-one-len]
7 ] S, s) t2 G, f( K1 ~, a[
8 B: B% K) ^0 g) o9 wwhile [((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& L; u; ]2 @ ^& W* Y3 M$ I9 \' \
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)( v8 F" F; E! o$ w
set j, [; k; g9 w5 I1 U* L: C
( j + 1)
; g7 m5 h" s$ Y# L]
& n$ {8 q" _% H+ S9 ]9 W, M. i! Mset [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 ))$ e4 |6 q% G8 U/ k" n0 @
: ^# E/ h( ~' \7 o8 Q
7 n: Z- Z) L0 _( M0 W/ d( u
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
% n3 y: W+ F U. G;;及时更新i对l的评价质量的评价( q* c& L- u# D W; Q8 o
set [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
' d% h1 ~; u$ Gset l (l + 1)
/ e$ B6 W3 A- X]
8 y5 x; H$ `8 mend7 x5 O9 A, x$ B6 d0 g4 o, R
9 C8 I/ p' T& x2 l$ y8 K1 c dto update-credibility-list8 y3 m* ~) B) v
let i 0- M, H' q. P5 k% k4 a
while[i < people]& c1 s- {* }) A. f7 K* B5 \
[8 K% |* e; B$ M/ v) o+ f& k
let j 0. S" W; L1 h4 S$ M B
let note 0
1 {: g9 ?0 p8 @let k 0
3 g$ ?0 f! N9 \ I% [4 U( };;计作出过评价的邻居节点的数目" c- e' Q! b1 G5 T
while[j < people]
) U9 q7 j. f0 z6 ?[
# Z: O# `0 c( eif (item j( [credibility] of turtle (i + 1)) != -1) D8 L1 [" P u$ t: O9 ?8 N8 ^; j
;;判断是否给本turtle的评价质量做出过评价的节点 C% b+ o- o* {# a
[set note (note + item j ([credibility]of turtle (i + 1))): N7 b2 K1 `* r
;;*(exp (-(people - 2)))/(people - 2))]& E' r& q8 r. [% _8 v3 a5 a
set k (k + 1)* J3 G* Z% A" E- L1 i
]
5 a* Z5 H2 e, q" X, K$ Q) ^set j (j + 1)+ ^9 Z+ z/ N S. b2 d, d! f3 f
]* H9 t) d: [* x& Y# x
set note (note *(exp (- (1 / k)))/ k). `* e7 c2 S/ Q
set credibility-list (replace-item i credibility-list note); f- a. ^5 P1 W; u/ v
set i (i + 1)5 p9 t0 o4 D+ a2 K$ y4 q' d1 V8 x
]1 L; S: i, r6 n( I: \
end
8 Q% D0 t3 H0 [, ?/ L6 ^" Q) A, ? K7 s; a( P
to update-global-reputation-list2 O/ K& f9 i6 o9 x% a( g& n' Z
let j 0! T4 @5 D3 ~" T2 Z1 v a1 Y5 }
while[j < people]
" Q4 L# S1 r7 C[
- w; t/ M5 G/ v! w5 s( _let new 0
5 y) z7 \( Z! d6 \;;暂存新的一个全局声誉
# @' r3 | x) u' {5 J3 o# glet i 09 Y6 K9 r" Q4 v% \
let sum-money 0! ? |& a) A: b# a. r8 t
let credibility-money 0( _$ f4 v( f. S" Z: \* ^
while [i < people]. h% H/ c1 X+ Z# \0 p
[
, z( E$ q2 C& n) Q0 k6 w4 |; r' iset sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))
% [+ O! l& n6 S8 g8 a' wset credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))) z# n4 r9 q, O; Y- {& {
set i (i + 1)
: ?, ~# D" f ?% G) l' T]" u0 m, h( `0 Q/ Y) h
let k 0' Y$ M6 A2 E; x1 z% y
let new1 0" \. @( d! \+ P3 s3 k1 Z
while [k < people]/ o) ?0 c, `( G! e; j7 j
[, X: T5 F% z: p; w# }7 ?
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)
. x! v b+ _$ Fset k (k + 1)
2 ?( |0 S, y" O8 f1 V]: K, L: U7 U5 S$ n" j. P' _ u
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1)
( `3 j6 O% y$ T3 z& L2 ~set global-reputation-list (replace-item j global-reputation-list new)# o6 v: ]0 P7 _* }4 n
set j (j + 1)$ A9 u# S* g8 P' r) O3 h
]5 G1 T1 T% S4 y }% P8 w/ V" G J
end
m. h# A! f4 F2 d7 ~
3 Y9 D1 G: d s4 I. g. ?
3 O1 ^( Q/ F) |0 v$ f6 L$ f9 |7 ^+ N
to get-color
+ ^: @! ~. s( q& X8 k* l5 j7 ^5 m1 X& m% S8 _+ A I, b* p8 y
set color blue% w! Q# H$ d& G0 ]
end f/ j$ l6 y2 Y
+ a& o$ k. }3 y; B/ L V" [2 `
to poll-class/ \' R2 ~7 [1 Y& K9 g
end+ q/ j+ J' F- n& t
; A6 t, t9 m8 P/ a$ ?* i
to setup-plot12 \# b |; }1 g# \9 J. U9 ?3 {6 l
$ i) U* \7 `9 tset-current-plot "Trends-of-Local-reputation"
% R* D, V; r, q& f+ ?& p# N
! Z% }! I, ^2 oset-plot-x-range 0 xmax' U; r; c5 |5 J( o2 Z; c1 {& I
1 }8 S3 [0 ?6 V
set-plot-y-range 0.0 ymax
! J X" B2 U: xend* Y4 {" p" ~$ N' q: l8 v
- m4 n/ a& D' D9 W: x2 m! {, nto setup-plot2
' q/ O: L) k6 F1 {0 e' V; n0 J! h
set-current-plot "Trends-of-global-reputation"7 ~ D8 M. n4 I$ U, D0 E0 C
. X ]( s* ?2 Q$ ^
set-plot-x-range 0 xmax
, r. ]6 D4 B8 u/ `& z$ w3 v- t& G0 [7 M, `4 L# Y8 _ `
set-plot-y-range 0.0 ymax
1 o7 a6 C# f/ O6 x0 Z: I: Jend- C+ c9 t7 u4 P6 ?% v
8 g, y6 p' D: B# J. W8 b
to setup-plot3
# ~3 t, j$ x" z; }5 H( z Y) C; w9 E( a+ n; e L1 k: w
set-current-plot "Trends-of-credibility"0 H0 q3 _/ D) P, C& X: B
* O9 r4 S3 ^: } O; r9 K
set-plot-x-range 0 xmax
6 |* a4 F4 N0 b; i1 k( f4 o9 U- e3 z' T M
set-plot-y-range 0.0 ymax
, S$ w. }) p7 A( u# uend
7 }9 l& G: z9 ~1 a @8 t" z
/ e. h* l3 ]: y6 Y8 X1 cto do-plots
/ M+ j; s; |' n4 sset-current-plot "Trends-of-Local-reputation"7 H0 Q) K- u9 f* [/ A4 U# Z9 X
set-current-plot-pen "Honest service"
! t! |4 q+ f3 g) Z. {# Iend
2 a K5 z- u: ]/ p. f2 A
0 N6 C, J: G# F" ][ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ] |
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