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[交流] 关于turtle的使用问题

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发表于 2008-3-14 16:14:39 | 显示全部楼层 |阅读模式
我将customer设为 turtles-own,初始值赋为-1,为的是当turtle遇到同伴时就将其中的一个turtle认为自己的customer,然后进行交易,如下:& l' g; {( ]  I8 Q" ?3 ?  ^5 k
to do-business
$ M+ m3 L% @3 g2 M- S rt random 360
) \. U0 l4 Q% q- M2 J* }5 c fd 1
5 x# @6 L; o' v) Q  f# l ifelse(other turtles-here != nobody)[
0 f! k0 F, J5 k% _% V; T   set customer one-of other turtles-here ;;这样一来,customer不代表了一个turtle吗?但在运行时出现了问题.1 l+ G( j  ^* e% X% R
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    ( j  m9 }: q$ Z1 w
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer/ e+ J" p; \9 }( f0 e! \
   set [trade-record-one-len] of self length [trade-record-one] of self% _3 \& |8 k6 p" ?  Q1 |+ y* B' C
   set trade-record-current( list (timer) (random money-upper-limit))7 I( J& b, P3 h- l. z$ J  b, S

/ O3 m* T- }4 F问题的提示如下:0 S8 A* s& a( R4 b, O4 Z! M; C

  e0 b% A6 o1 uerror while turtle 50 running OF in procedure DO-BUSINESS
. C! m) j, T2 s. `. e+ f) y  called by procedure GO) y  u  e7 B# J6 u/ K' M- ~9 o+ @
OF expected input to be a turtle agentset or turtle but got NOBODY instead.
/ ^$ N; E5 H% h" q: r( Y5 R8 I3 s
(halted running of go)+ ~* a1 U* Z& j1 r' V: a

: |3 @+ c( m- {$ g9 X; b2 [这是为什么呢?我看到一些netlogo中自带的例子也是用这种方法来找turtle的同伴的啊?期待高手解答~~
0 @7 Q" o/ s, e另外,我用([who] of customer)来获取turtle的编号的方法对的吗?如  set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    中.

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发表于 2008-3-17 17:34:20 | 显示全部楼层

资料不全

你把你的所有程序传上来我看一下,估计不是大问题。(南京大学)
 楼主| 发表于 2008-3-18 13:10:54 | 显示全部楼层
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7 I" a' M) M; a9 B: C$ u1 s3 y
globals[) }# S. ^  \$ A, [* m6 _
xmax
* G, z( p! Z. }6 c! N7 Gymax6 g5 Y4 }* w9 }/ f& F7 h' x
global-reputation-list2 j6 [' ~$ V7 K+ B7 N

* N2 C" i* b0 k: \0 [! u* Q8 H;;
每一个turtle的全局声誉都存在此LIST
4 j* B# ~6 D: H) }( Xcredibility-list, I- A0 _+ B/ N9 r* m- l# D
;;
每一个turtle的评价可信度
. U9 n2 y. i. g  G( W: shonest-service
, E- K5 G5 a  V9 ~unhonest-service
  G* |4 _* y& g9 @oscillation
. E) {9 t  R  O, krand-dynamic% Y3 s1 G" l* v, K" u6 b; D/ O
]9 F4 F% k: ?6 ], v+ n& J5 \% E' G

% |2 P  y0 I) O* O1 q" I; L" Zturtles-own[
0 A5 l( p8 v4 q. a. Z( Ztrade-record-all) N5 J' {6 x6 _' P: B
;;a list of lists,
trade-record-one组成  I2 d  l) M7 C4 y* o" I1 r: C9 i6 F
trade-record-one& t) r& L5 S! A5 L7 B/ J5 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
; S5 c% T7 B2 R
$ R% h( ]: x3 v1 _6 H% }8 D* w;;[
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]]
+ E4 c4 M" f: z: Ytrade-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]5 f+ }, w' \6 s/ M4 ~; \3 Y
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
2 M: j$ a  F  t% x: E/ U4 z9 rneighbor-total
9 Z  z3 w+ I# j/ T;;
记录该turtle的邻居节点的数目
! t9 A8 C6 r% Z6 S$ I6 v& A' Ctrade-time( `- i  h, P2 o# N
;;
当前发生交易的turtle的交易时间
5 g) g! e" c2 w# v0 V. Cappraise-give7 G. d3 t2 Q: f) P* }, H6 ~, Q  I  H
;;
当前发生交易时给出的评价, r4 }' A3 }7 S9 d
appraise-receive) C- J2 [( e9 a4 d
;;
当前发生交易时收到的评价
4 l# K7 y4 r8 e3 eappraise-time- N6 F8 v- J1 n/ e
;;
当前发生交易时的评价时间  P# }' `5 w# E, V$ k' A0 q, {5 E
local-reputation-now;;此次交易后相对于对方turtle的局部声誉
* q* P2 U( H4 w% n5 L7 Q4 x' otrade-times-total
6 Y. v+ d% E9 d. y;;
与当前turtle的交易总次数
$ j$ W2 L% Q+ u; p. H; X& `trade-money-total
/ g& c) L% E0 ]# \& @6 c5 A4 C7 I" @;;
与当前turtle的交易总金额
" k  `' u: ~0 T# p2 O& v8 Nlocal-reputation: [2 R3 `7 A4 P, P) q( ^3 z
global-reputation
/ V% E0 L4 M8 T* D5 G2 j+ Lcredibility
. e( l+ X% D0 n1 T7 b) n;;
评价可信度,每次交易后都需要更新
8 ~( X0 f6 @* F2 a" n0 hcredibility-all/ S- o. T0 X; v* v* `& K6 q
;;a list of lists,
credibility-one组成。[[1j的评价质量的评价][2j的评价质量的评价]……[ij的评价质量的评价]……],其中一共有people项,根据
7 r: v+ l8 R: N% v+ @% o! t" v3 D5 y3 o, h6 n
;;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0.59 k  x& v- v: k: V# v8 `/ |
credibility-one
; u7 b6 Y( i1 _3 K. ]; ^, v. N& Y;;a list [i
j1的评价的质量评价,ij2的评价的质量评价……],其中一共有people
, j5 a0 t0 t- U8 Dglobal-proportion) O" |4 x7 R8 A4 ]" E. e
customer6 ~# L" E: X: q9 l5 D
customer-no
# I9 _. i4 l4 o( G1 H4 V2 y& Mtrust-ok- M: X' L$ c" j; G) l0 p
trade-record-one-len;;trade-record-one的长度3 F) }9 V9 \4 f9 R# j
]& `  D# l2 z# s8 }# e& T% i% [$ k
" @% W7 e/ h( W- H% L3 s
;;setup procedure: V! @/ O5 F7 |; e. a4 |# p

& I% V  f6 |) [; {1 z) |$ Oto setup% \; a4 @: }3 @7 e- r- J0 D. W

# l9 a, N: v) ]) A4 ?9 cca
& p% G" r) _% B/ a8 @6 p5 n8 }

6 A5 `6 K: a5 ]* Y' vinitialize-settings
5 K; v& z5 e2 d* l  P$ S& a" v& F
% b# w5 h) x( s2 i
crt people [setup-turtles]

- V& m5 J2 z! Q
. j# x; [# A0 k2 v# P( \) O; yreset-timer

- l3 g0 C* q6 z- b' O, j% p. n) J9 i6 e0 n! H+ H: K% r
poll-class

" p2 Q& \7 G& ?! ^- C0 X' O: u' k. {0 R6 w/ V7 T" |! S
setup-plots
# }( P+ A0 h  U2 X" Y

0 q/ D  m) a, ^, F* u4 E- }do-plots

) y6 P7 |% t, B! k+ Hend; I9 @( p6 [1 l7 `% o
9 [* U% p0 B) p0 y
to initialize-settings
% T/ @- S; W9 d% E; a  o! u" N+ `  T; x2 e
set global-reputation-list []

" z  B% h; p( ^% R* F9 U8 w& Z+ |3 t% I% A, a7 G& `; o
set credibility-list n-values people [0.5]

2 M" }' l& f) i: m7 x' S3 A8 W* Z+ _4 D: P1 ]
set honest-service 0

# G- y! ?, Z) T$ I( l: ~
: s: G( u8 u4 Z4 _: Vset unhonest-service 0

$ ^7 R* B1 \" ]0 h( T
  E7 g! Z  h  n; gset oscillation 0
  \# o/ Z/ l9 _9 O% n) K

; z6 o+ r) s8 s$ o( Cset rand-dynamic 0
1 B8 q3 l0 z- v9 p$ B& I
end
5 o) o$ {+ W, p; S# _
& J! ^6 F' v( b$ hto setup-turtles
& j  L2 w3 R0 {1 qset shape "person"6 h3 L% Z& w# M6 y: M
setxy random-xcor random-ycor& o) |5 x6 \$ a
set trade-record-one []
) s4 P6 q! l2 n; Y2 J1 @- |9 ?
3 x5 M# ]4 r$ q
set trade-record-all n-values people [(list (? + 1) 0 0)] / }& [' G* E7 z8 }4 m6 e# J$ t

* m) Q' ?6 I9 s4 Q  J, P3 W- {set trade-record-current []7 h; T  y" T+ L. r* z
set credibility-receive []
6 ]  |/ \5 O- oset local-reputation 0.5% G. |5 p- }, K: `1 ~4 Y
set neighbor-total 0
! O% F3 [  ^# n0 b5 L0 i0 [set trade-times-total 0: i# w' A2 j: l- K; R$ x
set trade-money-total 0
9 U' y8 [0 p- tset customer nobody
3 S& O8 b( ]5 X  x$ n+ Z0 A+ Cset credibility-all n-values people [creat-credibility]! F' C; W: D" h5 U/ R& k
set credibility n-values people [-1]: _" X9 X- I$ U  K$ H6 \
get-color
5 k* q: c2 f( v6 Z/ Y6 h/ s
$ M1 z" K. ~. v8 Y+ O1 y7 ?1 Z. V# g
end. u/ ^6 G1 g  Y
/ s* X& a# R8 c; ^" H6 N
to-report creat-credibility3 T" u- d  G  H2 u
report n-values people [0.5]
+ ~. M0 r/ W4 F. E0 l" [4 I( p' _end; w) S' [! T; `  ?9 S0 g& N' l

0 ~# K" B2 u( v2 W  ^& G; {to setup-plots
4 @8 O* ^. N+ x, @! f9 ]! m2 L+ {: ^' B
set xmax 30

# Z9 @" K8 r! Q3 a, R* H: i- o. i. @- {$ E/ a
set ymax 1.0
- q& N% H* w/ V# J% E$ [2 f1 N

2 u2 x; O& F, z/ q- x8 ]/ Jclear-all-plots

. m" y# x5 n* p; i$ c% [' X* l8 _; I  W) X. w% Z7 x
setup-plot1
6 o& B0 ]) X* p
8 N, X4 }; N; }9 ^' K
setup-plot2
4 g$ J7 B4 W& x9 b  Z

+ o! m! K5 ^" d6 R% H4 m% g- usetup-plot3
$ y) ?8 A$ `% [+ E7 a0 n
end& n$ f. {& R- T1 B% E4 S) E! Y, Q; J$ b
% j- @, U/ O" {- h' V1 t0 T- X
;;run time procedures. ~; L: W. c% s2 `& j6 a
. L( j6 G& {7 A0 @' f- o
to go! t: p0 i1 Y  u) [. U  D

2 O% [; R& ]. c' Z2 |& Y. q3 d: m" Aask turtles [do-business]
6 W! x9 O7 D& L$ ?* k1 Q
end
! ^( a& V/ S9 v  k- U% U
6 m, e3 L9 S5 S5 n( M! ito do-business 2 j! @$ e7 `. b& H& `  ^
! F  ~0 `" e+ g! @* I* l

2 x, E0 ]. p0 L1 a5 W( J; Ort random 360

+ A2 r; \6 f9 [3 k! K
* ?( p& U( {. P8 |3 vfd 1
. }, i& D) P1 U+ j% x2 G' n

3 v2 p6 p; D7 a; V. Fifelse(other turtles-here != nobody)[
+ i/ V+ j; Y- n& i6 t% e: M

" q' ?4 ]7 x, M0 p! u* R" nset customer one-of other turtles-here
: ]! t9 L7 g% _# N9 ?7 `! h

8 r' c0 F+ c0 k; n  D;; set [customer] of customer myself

" U! c& h; P8 x, c( m1 }8 ?
. N  \# y( H# F$ H. S+ Kset [trade-record-one] of self item (([who] of customer) - 1)1 _$ l" d8 I8 Y
[trade-record-all]of self
1 |" E! D; R+ J) y;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
7 }+ i* M! O4 i

7 L# p/ R+ S! X2 Fset [trade-record-one] of customer item (([who] of self) - 1)( K# N: E3 @+ M# h8 y6 |
[trade-record-all]of customer
; d1 x7 i$ d. n' M& f: w+ i( h9 y

+ l! ?7 N: k$ a* E& |) b" C" h0 iset [trade-record-one-len] of self length [trade-record-one] of self

* w* G5 y4 g* q; E9 x3 I/ t! f2 t4 Y- I4 a# G" b9 J
set trade-record-current( list (timer) (random money-upper-limit))

) Z5 {( o' G" {7 L: J
3 r3 W& M2 y7 m/ Zask self [do-trust]
. @) A- B! E) Q) h;;
先求ij的信任度3 b2 x+ I+ K9 ?8 i( Q/ t. u  z
& t3 k7 W+ U0 |% \6 ?
if ([trust-ok] of self)% {2 }/ G7 x& [- U$ r: V0 E, B- a
;;
根据ij的信任度来决定是否与j进行交易[
5 Y0 z, p# x: H: f% q; f! w  _ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
5 v0 `% Y( l1 c& ~
  _. V4 k/ I' I# Y; B, A8 p[
. y$ e- P0 E  ~+ C1 a7 H) a) e: b

3 J. v7 p! ?5 M: r: _3 Wdo-trade

9 b% J, l1 G! k0 E
6 g* e! y% s: V9 J, L1 ~update-credibility-ijl

1 i) U0 [- \! C3 z: X: g; T$ m4 W7 g: D/ u+ U
update-credibility-list7 j7 f6 s" g; l% a2 w" ^

& j: N; p! ~/ D4 \5 V) A5 O; F5 ~  r! i- T9 a1 c7 @0 b, I7 Z
update-global-reputation-list
2 |4 u) W; Y- h# J% L. V

6 S( @7 j, s1 v1 G! Fpoll-class

; m$ G  v& c1 ^  ^4 `$ M5 f3 `; R& e- N/ D9 R  _" Z$ ?% c) F7 k9 n9 ]) J8 u
get-color
" @6 w4 d8 D. y% o  e0 L5 U# d

3 k; l' \: s* f$ @  E]]
( c1 H- u, a0 ^6 f3 ~. U. e2 {3 w! K! o  y$ ?  Q3 o# n& H% s- N8 b
;;
如果所得的信任度满足条件,则进行交易: D. _! x/ e% w
  o/ J, F5 [* J+ Y( E
[

9 n% ^0 k) \- T5 k; q! g
- i, |. ]" f7 H! }rt random 360
6 {; d. ]$ j- f+ `! k

' W; [/ q1 f! d8 w& M. f& nfd 1
  [8 Z- ^6 w3 C$ ]7 c8 T' R
% H1 m8 z9 g# m( o
]

8 z5 P2 k: G2 C( K7 x8 o; P8 D# B$ K2 a& g" c/ v7 U2 p& t$ h
end
& \% Y; w: x+ c$ W9 f5 z

( A# j' m: S0 Z' Y6 ]+ {to do-trust * H+ }) H& ]) v2 v$ s
set trust-ok False
& @7 I/ A4 x+ q. ~  A
3 G, z9 s  ]0 Q' a
; s1 i0 j# p; i- Q
let max-trade-times 0
( Q3 D- e' d# w4 p: Fforeach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
' f; H* o/ [1 R$ Flet max-trade-money 0
1 {* H- L$ ]" L+ H. `  Gforeach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]
# m1 Q9 W, P* x6 A1 w% L7 H( {let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))2 p" D( k! O% @6 q. a8 ]

* o# k: m/ N  l9 p! C
: ^3 h9 ^8 _; U+ L! ?6 x
get-global-proportion7 P. m& W2 e/ U
let trust-value8 K& J# J  o# \1 o
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)
1 S# E# d: A- q' h% F& H8 x$ u! M
if(trust-value > trade-trust-value)
( L9 F6 K. p* Z: [7 x2 A& D[set trust-ok true]$ Q# R! f. r; Z' H& i) }8 o/ ?
end
  x( o6 ?) ]2 Z8 O- V
5 {8 v; C0 v2 m* U( Nto get-global-proportion
  ~7 e9 [1 a. H: S% `, ?6 r. Oifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)
: I8 p8 ^+ b. K7 `% K[set global-proportion 0]
$ h9 i1 L6 W1 A[let i 0
8 B) D: g2 |. w; l) j) flet sum-money 04 S9 m  y- i" y, V  k5 x
while[ i < people]
; B* D0 o% u# N# X8 U4 K6 ][& I- K# U1 r1 T: h% s2 {
if( length (item i+ q/ A( K) V0 z. R
[trade-record-all] of customer) > 3 )
% `( m5 y. Y; \" V( q  ^
[
, a: i( d! \; l' b- u/ V1 S# Fset sum-money (sum-money + item 2(item i [trade-record-all] of myself))( S) k- q) G  L/ ~& f
]2 s8 \6 E1 o$ U% b. z$ ^9 Y/ d
]
0 G# _+ h$ H: _let j 0
* K" P' x- R7 K, T, Y' Elet note 0
; _1 P/ C8 A% T$ C9 _- dwhile[ j < people]4 G( [9 h0 Q, I0 o& @
[& V. V1 C! @' x+ C9 y( x' W
if( length (item i
4 H* g, d0 }$ r( i[trade-record-all] of customer) > 3 )
7 h; a/ v8 ?4 J1 i  D2 }! ^6 ~
[
7 g( j9 k! q- m; v4 S4 L) w; wifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
* b% Q7 T% V$ b9 \[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]6 Y/ F* f1 |6 I+ r/ i% l/ M, z
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]: r2 x4 ]% ]" h% t5 S; R( p
]
9 J/ N+ e/ P% A* \7 i' D$ T]* r8 ?0 N  T7 d# `- h+ ~0 j
set global-proportion note
' h6 Z$ x& q0 u]' l1 B' G8 L& r- X6 `
end
% N# K/ w" U7 S0 K% {9 a# v/ P8 @; n6 {0 g+ `: k8 V0 ?
to do-trade
( ~# ^; w. V' |5 q, A* h; g;;
这个过程实际上是给双方作出评价的过程$ X& N) Y6 v1 w( ]
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
6 F! c+ h; g% w9 v$ l( _set trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价# n- `3 i4 t1 ~# y2 D
set trade-record-current lput(timer) trade-record-current
& K- N7 I7 Q4 q& d( |;;
评价时间8 M% P' D# o, _- S/ O3 @
ask myself [
' T. @$ w% Y( ^+ }2 {, E8 }update-local-reputation
, t% O3 g. ~% F* o" {set trade-record-current lput([local-reputation] of myself) trade-record-current" {: _7 y( b5 U" N  l0 _* h
]# B  S5 e' V' n7 ]
set [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself; i9 S! T$ Y+ t' R' W9 r
;;
将此次交易的记录加入到trade-record-one; W' |: c' q9 D/ ^
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself). B! O7 F2 y# F; x9 {
let note (item 2 trade-record-current )
5 `0 g, E" r1 k; U3 I1 R9 s2 D9 o0 zset trade-record-current% N$ ~0 j* K0 w
(replace-item 2 trade-record-current (item 3 trade-record-current))

+ L: k* ]% U9 r& r& B. Vset trade-record-current
, Y3 j; Q; S' Y0 b(replace-item 3 trade-record-current note)% A0 Z* s% y  _" v: P

( z2 A- L1 p3 X+ l, I4 h+ v

+ A8 n, f7 J9 m7 O* r, n3 ^ask customer [4 b1 }2 r: s7 f% m1 ~
update-local-reputation) N$ u' K2 K5 m: Y- r% m
set trade-record-current  `" k6 T/ N% f. \2 w+ }5 r# ?/ u
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))

# f3 E0 L1 N* L7 @9 L]" W8 q+ R3 R. T0 A+ Z
- i1 T7 J" `& O9 u! u) T6 {: u
7 v7 `& ~% U4 N# p6 C' t& v
set [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer0 K2 Z$ S* _2 f& _- u9 Q* ~  g
. H( q, X  N1 x# a) Q
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))( u% Y. s' L2 F  h2 D) M
;;
将此次交易的记录加入到customertrade-record-all4 P& R& v  A  I( P, `. S: P; d
end
& f8 _5 a' G9 d. x: V# r7 C6 a5 f6 R6 |4 i: l
to update-local-reputation5 b0 E% Y4 f, C9 M
set [trade-record-one-len] of myself length [trade-record-one] of myself/ S' Y9 m3 k! e
* X. ?( F* T3 X7 G

5 E  u8 m, L( [, _;;if [trade-record-one-len] of myself > 3
, [1 j/ C$ I" I4 g8 B
update-neighbor-total5 @/ H- H7 t) ?( O* ]# P) h$ ]: F% e
;;
更新邻居节点的数目,在此进行- u; Z2 a/ J9 ]0 O+ v
let i 3' W& h, ~! r! E2 O
let sum-time 0
; G6 p8 E2 y0 `0 G+ Awhile[i < [trade-record-one-len] of myself]1 x  S# d' ]. V: |; T- M6 W! W7 R1 J
[: W  v$ k; J1 ?
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )2 n  V6 g7 P( d$ P  _& A! D
set i
* T1 ^4 p' a4 }, S! Q. X- k( i + 1)

& H; c3 j1 T. a6 j/ N]: L6 K# ~& N. D  ?* ]1 R
let j 3
; e2 r, l/ Q. T- U' ^let sum-money 0
3 l! d5 H/ Z7 w) n, S* {+ [# Bwhile[j < [trade-record-one-len] of myself]
/ F8 ^0 }" o+ J! v8 {! k5 |% X[* v4 ]' }2 F6 \8 t
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)
2 K: N) N$ e4 O5 m2 n9 [9 b" }# [set j
0 ?+ C3 o+ C6 \2 T' k! @- ^3 m( j + 1)
  E# {9 V6 k& G0 z1 c$ j! f1 i
]2 N2 r# g) [0 C: b
let k 3' H5 I( f' c  d( u/ Z9 j5 s
let power 0
2 {: i; b9 J% Q* W% i" Elet local 0! z0 h" m9 q! u3 b! N0 K
while [k <[trade-record-one-len] of myself]: x$ O* d* t8 X" |5 H
[
6 X; m: P  `, [& d5 Q* M& f& Yset 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) 0 j4 t0 f( i  a2 I1 g6 h
set k (k + 1)+ q/ X3 b8 i) O0 n) W
]4 g) e+ T8 b# M7 a
set [local-reputation] of myself (local): `/ P; _2 M+ N6 d1 |6 s$ N3 m
end
# \4 e8 Z; K4 X0 _3 o5 m5 q$ H, e$ P0 R; ~- d, ~4 C
to update-neighbor-total
& A; j; W1 O: k% B6 ^5 h, H& Y; @, E3 {. B' ^7 J- V
if([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]
. o, {! W7 m# j/ _" n3 d, ~# C% {+ P3 N7 `0 S

; [& t- \9 H/ a6 _" o9 _end" H3 Y3 h& r0 J) ~2 y

- H# G9 B5 ?! i! _4 `' l1 x* z* [" lto update-credibility-ijl
0 B* {! M( p. |
* X5 W+ E4 w4 F  B3 S) w;;
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。% \" f# ?/ }$ {* q4 ]
let l 01 m0 q# {3 z" J( k5 Z/ _6 U
while[ l < people ]6 v! L" P$ I' Z5 A1 o
;;
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
# L/ Q/ U! n& \# [2 ?' H2 x[# N/ \2 n5 Q0 O8 W; n0 B7 Y) Q. d4 g
let trade-record-one-j-l-len length item l ([trade-record-all] of customer)! v  i/ o0 j: `9 g7 |& A
if (trade-record-one-j-l-len > 3)
) ?3 D+ J7 A7 n8 _0 ?6 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ltrade-record-one* A6 I; j* w$ O* l' ?( w& [$ V! `
let i 3
3 E0 i, v% F0 S8 }9 A( \let sum-time 0
/ J( H. T7 y7 A  x: q. Iwhile[i < trade-record-one-len]0 s, ~. P4 M, P9 o
[
- o+ c7 j. ^" N' e+ _! i7 U5 oset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )
3 I/ L" M8 e% X% V  Cset i, h/ \0 w, d6 `) p
( i + 1)

/ H; r  c0 H! i]3 j) ]4 o. p- a  d) E! t: Z4 v3 Q
let credibility-i-j-l 0/ }3 w) \. j$ d- j7 N
;;i
评价(jjl的评价)
" T! U0 ^7 M+ z7 S. q, V5 blet j 35 _+ A0 p' b5 j4 p3 E& W
let k 48 n* k5 A  g3 L; S, L5 a
while[j < trade-record-one-len]6 R1 K( }/ w  b, X' q; s8 s7 e, A
[
3 m& K# c# `: @+ G" Y7 `while [((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ik次给l评价的这一时刻,l相对于j的局部声誉. p4 I% y( K* W9 M
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)4 X! P  F* k9 \, l6 R5 _$ Q
set j
. b6 a: @2 B. x* [$ b( j + 1)

- [8 R8 f( X; H+ ~, _+ f* B. O+ I0 j]
* L/ m/ J9 ^6 Z) v& m* d4 I) ^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 ))
( ^! X2 X) g' |3 F8 F3 n6 G9 u$ o! X2 l5 l3 Z" C

$ W5 I3 `; ~) @9 a6 Olet note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
* Y% D7 s/ |9 H, U. s: V$ q;;
及时更新il的评价质量的评价
. N: o" a4 w& x- T' e: Lset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
( h& D% ~+ N6 A" P/ W9 c( Jset l (l + 1)
+ a/ R1 k$ S( r* w/ ^$ K" _]
* P  t; |9 o4 Z* Q/ F9 yend
, [: n; u/ m  y. c3 Z
( i" P' n8 u1 ~0 n5 Z# Pto update-credibility-list
9 R, O8 V# Q; |, s0 N, `  Flet i 0  z7 l& n6 `/ {! L5 p4 c7 c( X
while[i < people]/ E" a8 e3 R8 E* \
[
6 T: d. e( G! y; I  g8 y% ]2 Ilet j 03 z2 N2 j; {# k6 j: Q) {( l
let note 0
& y* s- T6 z  o5 C' X9 T/ Ilet k 0
! g3 ?1 s( U) J;;
计作出过评价的邻居节点的数目2 N2 m* d/ \9 ]5 ?# E
while[j < people]
- F! a& V: B9 W- _: f( K/ L  x[; C# W1 H0 W% I* f0 f" ~) F
if (item j( [credibility] of turtle (i + 1)) != -1)
( k& U9 u' T, O;;
判断是否给本turtle的评价质量做出过评价的节点
% b# v# N3 e% w2 W[set note (note + item j ([credibility]of turtle (i + 1))); g5 n; M: `: B6 q7 W8 m7 x
;;*(exp (-(people - 2)))/(people - 2))]
% ^( Q7 \+ A! l$ f: h- z9 q
set k (k + 1)
4 n# J, e4 k: ^, j/ K1 g0 J) G% [! p9 Z], d2 D. b  h4 E, Q
set j (j + 1)) R3 R  c* O  I& `
]1 J( N4 Y: n/ f; B6 [( T- z1 z+ S$ A
set note (note *(exp (- (1 / k)))/ k)
1 U; i6 w4 {7 M% J- Bset credibility-list (replace-item i credibility-list note)
7 J; a, r  ~1 e7 R' iset i (i + 1)& q; l/ K! c) F& _4 \' p4 p; g
]
$ U7 {2 b( R8 s6 `- @& X! z! Z. H) wend& e8 C& _! _  T" I* W% d, F$ c

5 ~! b/ A- C/ y3 G/ _( y8 z! Q) Pto update-global-reputation-list$ ?: J9 ]' m" u5 E% Q
let j 0$ z, Y% o1 F$ t) j6 X
while[j < people]% P  W. j, b' O1 s* t, z* L6 D
[
6 [, N/ c; H% H& v0 G1 q  ~, a0 m8 \let new 0
3 q4 \9 W. P: d( U;;
暂存新的一个全局声誉
( C& U5 n3 M$ w+ Rlet i 0
$ {& b$ @6 J$ d" a" q7 Ilet sum-money 0
/ d# ^8 J% M& v. d7 ^let credibility-money 0
% ^. `; ]/ ], l( o' g" u2 p& Dwhile [i < people]/ I( @. Y, q) Y
[& G0 @: k9 [) T' t$ W% }- C- T% K& d
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))- ]! l3 S3 [' P1 V, {! i5 B
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))
) t1 F. q* R4 j1 Y" @! F! Qset i (i + 1)
6 Z5 f& z# O* D2 B6 O' ?; L$ ?]5 N7 h6 s4 T; U4 k: y  D7 I
let k 09 U, O1 y# d& h3 g' J
let new1 0
' J" t. b7 b4 x  r5 P9 P/ }6 ywhile [k < people]
  h% F% {1 W; h8 l6 e$ M[
: ?0 b# g* J8 E$ b: bset 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)
" A& _2 u' F, H2 \! [) {2 ~5 jset k (k + 1)
; N9 Q6 k1 l4 i  W]
9 |6 j8 u1 J( l5 ~! m! R/ Dset new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) 0 A7 q8 J% L+ l& s- i
set global-reputation-list (replace-item j global-reputation-list new)
0 g4 n1 w) `! j! K* zset j (j + 1)$ M& J) P# Q" v2 e9 I( S
]
" r3 F& X  k7 Z  v8 _end
' ?* o' `' S4 C# q$ K4 W0 U
' n, j6 Y& F( \& y8 a% s* Y  b
- v! K3 p( x$ B5 k" U, x. B6 Y& I
  c+ E6 ~$ f" I4 `1 rto get-color
  I$ `. u5 R" o& P5 P" @  P( ^) B* l& ~. V
set color blue
5 @- d- y" ~# I: O9 ^, C
end
5 P3 w2 p: {, t5 j  v( |* T4 T) c8 |/ [" {. c( p$ g' Z/ K: F
to poll-class
. q2 G9 c- s) f+ V: ]  K9 Xend
, _. B6 W' O/ ~" l' `; w7 I3 t, u
to setup-plot14 g% t5 V. F* [3 |" U+ O- O

7 S5 D( ~( A0 H6 y. T7 _: s4 tset-current-plot "Trends-of-Local-reputation"
% r8 k) n* y3 N" f! W

" Z* I: i" w( E  Y! t2 S" Bset-plot-x-range 0 xmax

$ V, G2 J/ r! W  K4 w: Z- U* f
' f' o. ?" S' zset-plot-y-range 0.0 ymax

! P! J% n0 r8 X4 _1 X, }end
' e9 Q! N1 s  ]1 I4 _" ]/ d2 [% S
- j3 o0 O8 a0 Ito setup-plot2
! S% [" |" K! c2 M
, G1 a  f4 j, c; n; \% }set-current-plot "Trends-of-global-reputation"

6 ~, B2 S, o7 c7 W. W0 z. I1 c/ E' ?6 c
set-plot-x-range 0 xmax
9 w( }" x9 [6 C: G, i3 @
# K4 ?3 e7 E; Y7 q6 @& J5 w9 F
set-plot-y-range 0.0 ymax

) i, a4 {1 o+ |4 ]9 j4 \end
1 [+ o4 z4 }# T4 Z3 W; d+ ^  f
# N% o1 l: X- R( ^1 Y8 O3 Rto setup-plot3  u* [& q5 V" S  S+ C8 {% @
6 ~7 `( y8 n! b& N. g8 s5 z, }
set-current-plot "Trends-of-credibility"

0 h. \1 F, I* y- A. q: J1 t% v( Z8 U, {. t" c9 z
set-plot-x-range 0 xmax
& g) e+ p  Q9 H' R) h7 j$ P2 K

$ G! }" `/ m* ]3 R  k2 {set-plot-y-range 0.0 ymax
  m! t8 W; G; e& e* c# K. p& w
end
4 j. m+ v4 o- w- e  K3 V4 b0 D# ?1 f# @: D0 y
to do-plots( X2 }: X* {% h
set-current-plot "Trends-of-Local-reputation"+ G/ N: [2 w9 [) H  A  t- ~% E
set-current-plot-pen "Honest service"
+ P8 S) w! d: B. ~" x9 [1 Rend
+ M1 h' k. S5 z& ]" t8 ]1 i# i6 l1 X9 M( G: |3 l( t" l* h
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

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发表于 2008-3-19 11:33:07 | 显示全部楼层

有点困难

没想到挺复杂的,我去问问师兄们,不知道你是自己建构的模型还是其它模型的改进,我试了一下好像setup都有问题,别着急啊,呵呵 。
发表于 2008-3-19 11:34:29 | 显示全部楼层

还有啊

发表于 2008-3-19 11:35:59 | 显示全部楼层

还有啊

能不能传nlogo附件上来,一个一个敲太累了,好长的程序啊。
 楼主| 发表于 2008-3-19 12:47:57 | 显示全部楼层
嘻嘻,不好意思啊,现在把附件加上了./ |  b7 U+ k* c6 B4 n
0 A1 @3 h9 h$ x1 p8 i" R& K
这是我自己编的,估计有不少错误,对netlogo了解不是很深,请多指教,谢谢!
发表于 2008-3-22 16:55:16 | 显示全部楼层

程序公式

我问了一下,只是从程序角度来分析,是跑不起来的。如果参照你建的模型(公式),可能会有帮助,我的邮箱是wjcpcahu@126.com.方便的话,看看能不能进一步探讨。
发表于 2008-5-19 18:02:44 | 显示全部楼层

运行不了

提示custom无值,这是怎么回事?
发表于 2011-4-10 14:42:01 | 显示全部楼层
好高深
发表于 2011-11-7 11:36:13 | 显示全部楼层
为什么大部分的帖子的交流都止步于2008年,从08年到现在好像已经很长时间没有更新过了啊,为什么呢?
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