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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:
, a; U( {$ b. n: c* c# `to do-business
" c& `6 Z2 Z6 N9 `1 P; L( ~+ n! w rt random 360
9 S4 e: ]! C) g2 N8 B3 z; J fd 1
3 C3 y6 _+ v5 g7 t1 D ifelse(other turtles-here != nobody)[
/ D# g0 x2 R' {7 z! A' ?. o  s$ v1 J   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.2 w) M- L! Z( \
   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    * J* m  j# I% _! l
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer
6 U# a) B" t% C/ v( [% n   set [trade-record-one-len] of self length [trade-record-one] of self
: v" i+ Q1 O' g9 A# n3 p# m5 j   set trade-record-current( list (timer) (random money-upper-limit))! W8 a3 m: D; K# v, n5 H3 L

8 |$ r1 \/ L) h' }5 T* `问题的提示如下:
% \# w6 T* a; V% X# K. ?
# ^* N2 Q' M6 {: ~; gerror while turtle 50 running OF in procedure DO-BUSINESS+ p, z/ w+ ]5 Y- N$ E
  called by procedure GO
6 W7 D5 U! a$ \( F6 a1 TOF expected input to be a turtle agentset or turtle but got NOBODY instead.
: B6 S0 f' U6 t7 n
(halted running of go)/ e1 ~! @& ^, `+ p+ w% z# V% v; f( r

4 h7 i6 S. L6 {; C, K% F( J- s8 S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~~2 n$ r2 _: l! F& O/ S
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
3 G+ X0 G- N! N& J' w/ ^globals[
5 X# q8 {& g6 bxmax2 Z0 N7 `8 g, \% ~
ymax
# n- n* x3 M! S. I3 T  i* Bglobal-reputation-list
; f1 S5 J4 \% J0 V9 F" L
5 _. N* g- |' U; P;;
每一个turtle的全局声誉都存在此LIST7 S7 u" k; A# m0 E
credibility-list
5 s" M7 `: R' s. o;;
每一个turtle的评价可信度
# j& Z  M, T3 `- w, S! f; Dhonest-service' s! U8 {# [% ~- K' n0 I
unhonest-service5 ]2 K+ h4 N4 E/ c0 H% @
oscillation
, J% V7 \* d& D1 Erand-dynamic
2 z4 O8 }  ?. k# c]
1 \+ O: I0 t& ^% f: w' d& X9 {# B- ~9 l" P1 O) B
turtles-own[! B9 U1 }' B$ |6 v' M7 p) w
trade-record-all
0 m* u  @2 A8 B5 y! C;;a list of lists,
trade-record-one组成+ D, `- [! ^; ]& r, v7 l2 v) e
trade-record-one
& v" i/ P- g: M. B;;list,trade-record-all
中的一个list,作为暂存用,记录两个turtles的交易记录, X! T/ J; [( l- h( s! `

/ I6 w0 B. v; ]* [1 A8 h5 r* 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]]
9 E6 R3 ~  J7 c9 h  }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]: i9 s! e4 u) a) n% 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list
5 D# N- Z* q# t% |7 x  o4 _neighbor-total
+ D7 F2 w. B7 V2 s. C1 m;;
记录该turtle的邻居节点的数目
5 a" e! p% d) W  D7 g1 A8 y( etrade-time2 X) f$ E" d5 n" ~- P8 Y# N; K
;;
当前发生交易的turtle的交易时间
) D$ @8 Z% Q7 ~2 m+ [1 w4 _appraise-give! x4 h6 X9 m0 O8 f: C
;;
当前发生交易时给出的评价
, v) o3 s/ g) ~7 F) Y8 Kappraise-receive; [/ L  \- P3 {6 y3 ^
;;
当前发生交易时收到的评价
- x+ g; s0 F9 C$ N& x7 \  X, ?; `2 lappraise-time
  i1 U% U* {, T2 f5 d, D( U;;
当前发生交易时的评价时间, l/ ?: W0 b* E& q, G) a; |
local-reputation-now;;此次交易后相对于对方turtle的局部声誉# Y! P3 h3 B) _9 l
trade-times-total
3 k0 F, z* C+ W2 }4 \( y;;
与当前turtle的交易总次数* V- l, V4 z* Y/ F$ `. d' L
trade-money-total
, h- ~9 e( t- {, {6 G;;
与当前turtle的交易总金额: s- M" U, n2 F
local-reputation' Z2 g* s8 d' t
global-reputation) p& o: @/ ?1 J/ T6 {8 V: o" p9 S
credibility
' w; y& u! D2 s- {/ `;;
评价可信度,每次交易后都需要更新' J1 q; {$ d' E
credibility-all1 t+ k" O( t6 X7 O# z4 }! o
;;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
5 l* R: T* h  E+ y- G6 u2 {# t1 d4 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/ }5 I# O3 r1 d* o( ?# K* C0 g  v
credibility-one
3 c" q8 B" z  t' E! A;;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, U4 O& J5 @8 g3 @2 i9 g  n) W
global-proportion
5 h0 R: V; o( T- Dcustomer/ |+ B5 X6 W; G) I
customer-no
, g7 |; m9 f" H' T1 Atrust-ok
- ]: K6 `* L' _trade-record-one-len;;trade-record-one的长度
. Y  r5 p/ ?% K9 f. A]
. e6 \7 p  f; X" o5 O: d
2 ~4 P- j" |" j5 E) t" m, [+ @;;setup procedure
# R9 m4 f( [' p* c3 {& f4 h6 ~2 r' b. i
to setup6 [1 W; t- f, B1 A5 d$ R7 R0 n0 I

% j( d$ e" `/ Z& qca

9 A+ ?* Q3 {" w' a5 K6 n
1 Y/ ^; }% O5 C- \8 z. }' Yinitialize-settings
& r% A7 D2 _& |! {9 A$ V; K
; s% V6 X, M' R' M# k
crt people [setup-turtles]
& M9 P+ R2 D; u- a( ~  D
+ Y) ^. Q8 j( L6 F: a
reset-timer
9 o# L5 B, D: `) T$ Z3 g1 |5 `
: |8 z& s9 y# ~
poll-class
+ M6 o* w8 ~( Q& J! w) @
+ K( M  x" K$ y3 ?* E; S* I3 U0 X
setup-plots
1 Q- ?" G3 b9 t' D

; i9 n6 f+ e: r+ G2 gdo-plots
6 A( X0 D: V( z7 i2 d# `/ J4 f6 Q
end
; p' E" s( k; d+ F# k8 l! R/ Y$ S# M. o) `, s& v
to initialize-settings
* l+ ^, I$ {2 g( i- }
" L4 ^( `( z" m; h! q7 E! Aset global-reputation-list []

; c6 w7 T. y, l$ A+ k1 w8 y+ Q0 i% G* Y' D& [! |4 z( x
set credibility-list n-values people [0.5]
5 W: l. V9 h7 X* }- A  d* M' G" ~- p
8 e% w- m- \7 p- a6 q
set honest-service 0
  G+ l! m: K3 G  D  ]( x  U

# B/ P6 w. T9 p( O& u9 E$ Xset unhonest-service 0

% O, ~- E9 R- I3 g8 l" Y6 A: |$ \2 k" L! F
set oscillation 0
: [5 h9 s4 g/ Z. [$ j  }( s2 }4 U

7 w1 T. j8 q9 o! o# S( tset rand-dynamic 0

. O/ E' ]) e' B! \end
! f( c& z0 l% m# l- B& D
! D2 W% t8 v1 Xto setup-turtles   Z/ q( c4 z- ~! _, J
set shape "person"6 k# s& t$ V1 \5 x4 N
setxy random-xcor random-ycor
. F) E% c' y  F4 \set trade-record-one []
/ a8 y2 e0 v0 T

+ i% u& x4 \1 J( lset trade-record-all n-values people [(list (? + 1) 0 0)]
+ v: Z3 ^; ]/ N4 x& G5 _& B- f6 m

$ u9 d2 j- J; o( t) Iset trade-record-current []
) x/ R) E6 N! e: W% C6 ?set credibility-receive []5 u7 S! e$ C) x
set local-reputation 0.5! C# @1 }4 s5 V8 J* P' D
set neighbor-total 0
) c- X$ Q8 v# x$ E; Vset trade-times-total 0" J! V/ ^9 _( J# T  z
set trade-money-total 0
  C( s1 [& V: d  r# Z$ R! tset customer nobody  B) Z( h1 {5 H3 O6 r' B" l
set credibility-all n-values people [creat-credibility]
3 E7 k$ B) Y/ d3 i6 A2 yset credibility n-values people [-1]0 Y! L: R- X9 B, W7 t- C
get-color$ a  E8 t% B- E+ R

8 r, j& D- s7 C- q" F0 T1 Xend
4 n1 x4 ]9 p1 g, L  ^$ f# i& z3 S0 T
2 t. [2 d+ U; r, D/ k5 `* cto-report creat-credibility" l+ _+ g  D$ g6 ~9 R
report n-values people [0.5]
1 T6 B" N( d7 I- J, o, T% ~end. B/ \" J4 o# ^, h& I* M& e3 R) V5 f
. ^) Y1 m; a# h+ v' Q) o. _
to setup-plots4 t7 s; @% r' W+ g
5 X$ r& S0 C7 G
set xmax 30

8 y& X( v, B$ ]4 C: @8 ^) X/ I; G' n1 p! D8 G1 ~! y
set ymax 1.0
8 l7 }. [/ O" V  |' c" B9 `* f

& o, ^! P+ q+ i+ a5 w1 bclear-all-plots

: B7 }  H+ G1 S! S: l. I9 i, o1 U+ Z" a6 J
setup-plot1
' a' K$ `& i$ }  U* n+ Y8 g  T# e4 X
" G' a6 X# l: g. u/ d0 G5 {
setup-plot2
# q9 q. O6 q1 j& m

6 A; y; D: `* I" {setup-plot3
' x5 C" V5 P) Q% ?5 y& L- E
end
, M: W! @! y/ B6 T: ~4 Z: k' n  x: V  W* g; E% p0 G
;;run time procedures& M, D- g" E  t. b
' u7 f5 r3 j) w) u4 U% v. O0 ^
to go
+ r$ y9 {# m. Z+ h4 N6 O' }: R  ~8 H" _
/ ^" H$ r. D  X8 M$ t0 mask turtles [do-business]
) h/ v$ k& r1 R9 \( `' K' M0 P
end
$ q5 q5 [4 c+ |' N4 Z; C  `8 m- z1 V
to do-business
, t  H* I4 ]2 d  M* c1 P; O8 J- }. j( v
6 l0 @* {' \# |* v( E
: G, F  C, O  p3 k$ q
rt random 360
$ B7 u- V6 j" F' ?& S* d* E; T( V
2 L9 O; x5 T6 m
fd 1

* o$ I$ ]0 q, z- J. x: H% J' O0 x0 t; v4 g( z6 ^1 x# d" v
ifelse(other turtles-here != nobody)[

/ |, v1 i4 T# x5 H! V
! r2 L" Y, c: ?4 O3 Y$ xset customer one-of other turtles-here

/ {, s% ^8 `# g8 K/ g8 e! u$ ]/ ?  ]: ^" Y7 x* N
;; set [customer] of customer myself
9 ~- ?5 V0 a9 `% o: d, H3 W. L  l) ?

. S2 O3 n2 M0 f! p( p6 p0 fset [trade-record-one] of self item (([who] of customer) - 1)$ A7 j% l: ~9 G0 F- d8 d
[trade-record-all]of self! n* c: d$ \$ F. W( _( V& C
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
6 i' d8 }1 X( [  O$ n" n

% \7 g2 t: z5 Z5 l  h+ X$ E2 ~. Tset [trade-record-one] of customer item (([who] of self) - 1)  E4 X7 }# h3 V' a4 h
[trade-record-all]of customer

, h  y/ s; D2 c9 \: z- r# r; f; y: p' y6 E+ t* ]5 l* L8 i
set [trade-record-one-len] of self length [trade-record-one] of self

  M2 z! H# C" P5 D
, c! ~  m: N5 N5 v( v" K# gset trade-record-current( list (timer) (random money-upper-limit))

! H' {3 i8 v3 N% m- I1 B% W0 A  t; R8 Y9 M  A. M" x& H2 \( s
ask self [do-trust]
: z5 A( J( J) k# r/ c;;
先求ij的信任度9 B! O! a' _% Y- X& X0 W* r

# ?: a. U$ ^0 i+ p. aif ([trust-ok] of self)
( V# m$ k1 j$ g% M/ x;;
根据ij的信任度来决定是否与j进行交易[
1 M2 N: _3 R+ Zask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
3 q- S5 G7 U# |0 M9 ?4 M& q' E) z$ C& D8 L9 A3 R/ G  d0 l
[
/ p" t: S0 q9 k& u: A* h0 E
1 ?4 R# o8 e& i4 M) a! o
do-trade
% [4 p3 ?$ I6 N3 L

, L; i( V1 r. L* Z, J1 eupdate-credibility-ijl

5 {. U: F7 _: x3 x3 z/ W8 _
6 ?# w; J  T: |# C: e3 Uupdate-credibility-list" m8 y( [9 j3 S2 c% A2 Y! |
7 F0 e5 {- A7 k4 c% m

" q: U, x- C* e: ]$ Z3 wupdate-global-reputation-list
' c, [5 v2 M1 d  k) Y/ v

( l8 w2 F& x- {1 ^6 q& t  Upoll-class

, Z: t# ?$ I# J, N% S$ i8 B/ `* X' [, ]* z
get-color
- o( `5 h; z1 d9 N7 O

) q; w3 X; ~8 f; T1 V' c]]* k# f1 H6 \1 r0 y6 ^  I$ |0 h" I3 ]
+ S' f+ L) n( G$ r& H
;;
如果所得的信任度满足条件,则进行交易; ~6 d6 z" r* h) a; n: x$ f+ z- f, Y

* ^4 i3 e2 z# I/ a; t[

) s+ p$ d1 X" f9 a8 X+ v" b  J# A& h! r- o
rt random 360
( D+ g( u2 K+ e2 y' {$ m

( }- O& p6 j& Nfd 1

/ q5 X6 }9 K" ]% f
& O& q/ A/ @3 V0 S" h" O]
% I2 F0 o; A7 ~6 k

* U, C& h$ y3 Q& V$ aend
+ |+ ^7 x4 H6 ]9 G% B' a3 l
' {* C8 {! l; A" h' n. I% ^
to do-trust " P9 R2 ^  `) }, t7 m1 b1 A
set trust-ok False  a& ?  D% R+ ?. W  c1 G

3 @# h( o. s( ?1 e

  t6 A$ Y4 o2 f# t+ g2 r4 E7 V0 E/ ?1 Tlet max-trade-times 0
! E  a; v8 o* c0 {2 \foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]
1 T" K+ |) n( m: q' ~$ |+ Ilet max-trade-money 08 o7 c, K! J6 R8 S1 K
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]], n" V' V* M& z) @; ]
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))9 ]- a9 |( y8 Z# ]) i

- k- p: J5 X4 B7 O# y* |

/ G& n1 _+ K* A" q8 ~, p1 k2 C# \get-global-proportion
. U7 j3 n& x8 ]+ U& _' Clet trust-value
% A2 M# `$ l# ?. a/ O" C5 plocal-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 p4 q4 s" L2 C3 L
if(trust-value > trade-trust-value)
) N  B3 r3 K8 W& Z( C& N[set trust-ok true]
# t1 d# c8 f+ gend; z( [# ?8 f5 V: @% Q( H$ z

) x% q. T& V  ~$ R1 i0 o9 a+ m3 Kto get-global-proportion, g- M- e+ s$ r- |# m, P8 ^( f
ifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)  {2 j  G" H" e2 U
[set global-proportion 0]$ W$ x$ s" A$ @$ }
[let i 0; i- ~2 T& x# l- X" u2 c4 r
let sum-money 0
# E6 s) K+ a4 |, O) G$ Fwhile[ i < people]
/ I, Q7 O5 ]3 n' l( K& I3 Z" a[
+ U: F$ [+ q5 r" a5 P6 Jif( length (item i
5 s$ m9 [/ H9 |* a[trade-record-all] of customer) > 3 )
& F# g, R$ h2 S4 P2 q* e
[
0 V; q& X% ]. V- E$ N% _set sum-money (sum-money + item 2(item i [trade-record-all] of myself))
: X. p- }" G' Q5 x# [) [8 r7 U]/ }* f" r9 A; P& G
]
2 A$ u/ e0 |9 ~- B4 U* Y; Klet j 0
& [2 ?- ]5 I2 xlet note 0
, x2 A( M: h! _3 k. |* [1 _while[ j < people]
' i5 V' Y  m! K* \/ o8 h[
1 V0 \- r2 D3 E, T% N; hif( length (item i
4 ]: s+ Q6 x( d# W/ ^' l[trade-record-all] of customer) > 3 )
8 i, {3 C0 n; \4 z4 q: s
[
# H4 V3 ?* k2 o8 O! y7 W, Sifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
5 D, s% Y' c) p[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]
2 d# u5 G5 ^) R4 c9 u4 r2 w* z5 z. s2 l[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]* f3 M7 h1 Q8 @: V( z& y, i3 ?
]; B4 s+ i# i  s4 k# Y% T
]( c. y7 a7 o# m. D. Y" ~
set global-proportion note
, k8 M, P( q) ~7 J' }) q! s]
* @  {0 P1 B8 O, k. Z! \end
4 O- [9 Z3 T$ E" V9 ?/ Y9 x, J5 O0 T7 N& \2 L& E6 D8 a
to do-trade) E: |) u% M& u3 U
;;
这个过程实际上是给双方作出评价的过程3 D: R" p5 \4 K8 P  U) N1 q
set trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
7 @' B9 x* c& C3 M9 M3 Bset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价; S- T: T9 n( q! x. Q
set trade-record-current lput(timer) trade-record-current
% ^. I6 `( }) X8 b+ A7 ?5 p3 o;;
评价时间5 v( J/ S  U% ]0 s
ask myself [
5 `# d2 A% M* Pupdate-local-reputation
1 y. F' ?4 j% ]# D, _, p5 u. fset trade-record-current lput([local-reputation] of myself) trade-record-current* }& t  l' s: \0 k, i
]
/ o1 }7 A& l' ^& \" H, S( t2 k  Rset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
+ A( G( x$ v' ~9 x;;
将此次交易的记录加入到trade-record-one- x5 G, [4 v3 U$ X  `
set [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)
' f) Y* z* _6 h& i, \& F9 x/ j+ Dlet note (item 2 trade-record-current )
8 K- j7 R7 y! X1 G) D8 Z( I% Wset trade-record-current
4 X$ I4 [/ c* I$ C) ^# W(replace-item 2 trade-record-current (item 3 trade-record-current))

- g1 u/ f" P8 S  A, H7 uset trade-record-current
' d: b' o. |4 X! ~; Z(replace-item 3 trade-record-current note)
; q- O0 {7 j6 w7 G/ p8 r( E, ?& c- K8 Q- M' [

, F7 v& ?3 T& N+ Mask customer [
& t* i- v& E" x2 x/ f! Lupdate-local-reputation
* L* C$ `* H3 [, k: [) C( T2 hset trade-record-current2 I# Z6 W( Y* c
(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
" D' y# \: k, a( p
]0 |$ I: K# t6 E$ C

3 r0 `9 H; U6 m& l

% _4 T9 B0 u. w7 Oset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
7 d5 r+ k; q1 }$ C6 s
$ m9 H+ [: E  s/ ]% ]
set [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
8 J% [; U) h2 n: f% k) W. L;;
将此次交易的记录加入到customertrade-record-all+ r. x+ s9 ]% s, D3 @$ m
end$ f9 }; O2 \, ]5 o

' V$ [0 \1 ?2 J6 P; H7 m4 {to update-local-reputation
) W6 B: }* ~$ U+ Z7 p7 T+ d5 pset [trade-record-one-len] of myself length [trade-record-one] of myself
/ c$ N( h  G3 _8 P6 P, B
1 S7 V7 U/ m, I5 V0 a$ ^+ p+ {+ k* y( R
;;if [trade-record-one-len] of myself > 3
/ m. x7 f% k1 s7 i& R% {. m" z1 p3 p5 ?
update-neighbor-total3 A# E% l5 h  L+ n, v
;;
更新邻居节点的数目,在此进行1 u% V# p& [: R9 ]/ w  Z6 Z! e
let i 3
/ ?$ P* d, p' Clet sum-time 0
$ v( ~0 }. H, t( J2 qwhile[i < [trade-record-one-len] of myself], d; X4 `  ]/ M; E0 F9 X
[3 u  C( \1 w, U7 Z+ h4 z
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
9 Q9 C) }" ?" o' j9 m+ H* d: [set i- O2 X( k( W! ^! {) c/ [/ x
( i + 1)
& E8 |( @% [9 p( h4 ~
]: C$ x% A4 r8 A' Z) ^: V
let j 3
. D/ Z6 V, I) P. ~' r) @: \let sum-money 0
; W% A3 w1 G/ R$ u- W# \while[j < [trade-record-one-len] of myself]
- O# I* e( ~" b+ C) q[
" O! x7 b1 ]7 Iset sum-money ( sum-money + (item 1(item j [trade-record-one] of myself)) * (item 0(item j [trade-record-one] of myself) ) / sum-time)/ Y% b+ k  t6 v5 L7 I" N; V* V- V
set j* u2 {8 l) S6 ^# O3 |! B
( j + 1)
. [6 _* @7 c0 E5 x0 T9 p
]+ ^# U* D. X0 P$ {/ B
let k 3
1 s8 P% \- R* b/ D3 E4 u7 h% Tlet power 0
0 b9 u4 z2 v  T$ w0 K( }let local 06 r+ r/ i$ t1 Z0 D/ S/ T0 i+ k
while [k <[trade-record-one-len] of myself]  e  l6 \4 l* d& m3 W5 S) _0 H
[
1 G- Z! F% L0 X' t# Vset 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) 1 Y6 q/ O! u1 ?% s0 v! K
set k (k + 1)
& v; m4 F9 C, i]
! p2 l$ S! u- [; t% ^' s7 i+ Iset [local-reputation] of myself (local)6 j- f. E2 h! T9 E
end
& k  x3 W! S5 a% U7 |! i* P1 Q1 Z9 _! @3 U# y( w! A) ]/ }0 a
to update-neighbor-total
+ f$ e$ n0 z: y$ h
6 m' p3 C, D2 \& O+ Y  @8 Lif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]" y) p' k2 R( N" i6 Z3 k0 W$ f& \
5 M; R0 ^9 v+ c1 d: m6 a
( E4 C4 w& D" \- J( k3 Q
end7 A; |) j" N+ P
; `' P3 g. G$ ~
to update-credibility-ijl 7 e" M# R( e! s) B- T
2 X/ I7 D2 @/ b; A
;;
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。4 N3 N! C2 N% |0 ~. y
let l 0/ ~# [7 ?+ h$ {4 t0 p
while[ l < people ]
2 k- H0 w& f; p9 j; |- N. Z# T;;
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+ s, B# J+ m0 }: w
[
5 V0 n5 q4 O+ Z7 t3 B7 Dlet trade-record-one-j-l-len length item l ([trade-record-all] of customer). l& d: c" Q0 m/ c% Y8 `" m( r/ \
if (trade-record-one-j-l-len > 3), h! w( t% P# j* u* I6 l0 z2 A
[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( ^3 \3 b" T) |& F# }! B
let i 35 t5 L" c& c0 g3 K1 M/ W
let sum-time 03 O  C  U6 w* U% A0 ^5 {& O
while[i < trade-record-one-len]; c5 B; ]' Y8 U. Z7 ]; T0 V; A
[' v- ^! {) @1 Y# F2 p7 |; L
set sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )+ Y8 C6 i, \# j
set i- M0 F6 S0 A8 }9 [
( i + 1)

0 q: Q8 n- ^0 p3 w* ?5 A]6 K2 I2 H# @8 Q7 O3 N5 Y
let credibility-i-j-l 0
. `% X+ n. q4 z8 M5 q% l1 Q;;i
评价(jjl的评价)' ?$ J, s. K" W" R. p
let j 34 C+ X; ~1 e  O$ q2 V: j" V
let k 41 o$ R( ~4 A/ p2 I' D
while[j < trade-record-one-len]
/ s$ F# n* d* B% S+ B[: v* O" g8 ~: q2 G$ j2 {+ ~
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% f. B& g3 \& {+ v" e6 i7 I' h1 ?
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)
+ P8 b: f; h# Eset j/ v2 b% t$ [, Q2 W3 x6 Q' `
( j + 1)

. H+ ?/ b+ w1 r& {9 ~]
  h. @/ x& u0 G/ }( C- ^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 ))
6 @4 C2 |, s. L, V1 |
, ^* ~7 r! I. B, r1 D. K4 n
" z8 D$ T) t& Y3 }
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
6 w' N$ C; K8 O' H;;
及时更新il的评价质量的评价
/ F8 n% k; r- Uset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
: L  o1 u8 S7 _. `$ Aset l (l + 1)2 k9 [( l3 X6 T$ w- b: e% D: u
]/ [0 {5 k% S4 J9 L
end
) c3 Z/ ?  [0 R' O5 G& D8 n; v+ T* W( E: a9 u9 ]* h5 R
to update-credibility-list
* O' x; ~6 h6 w3 I, u4 c8 w6 t  Ilet i 0
4 N# b1 F$ m; W6 xwhile[i < people]- e  P4 G. Z" r, ?8 {  j
[3 l6 V/ N4 t, W8 F1 n- K; J
let j 0" H4 |& }1 M- R' D- ^
let note 0! ^4 o" m9 x* g4 |1 ^. \& H3 |
let k 0
' M& A, K2 C' h; @;;
计作出过评价的邻居节点的数目
7 N" g4 c9 T( L; |0 G0 K( ]& j' c3 Jwhile[j < people]6 Q, z5 b9 ^) ?0 m  t9 o; n
[
% A! r3 _' A  u; g# Q# eif (item j( [credibility] of turtle (i + 1)) != -1)
4 c4 i* M7 R" h, w;;
判断是否给本turtle的评价质量做出过评价的节点7 R4 M( ?: S0 w
[set note (note + item j ([credibility]of turtle (i + 1)))
8 S& V% B. o. U1 \6 b- d" {% y8 N;;*(exp (-(people - 2)))/(people - 2))]

* \) i) ^1 O3 @6 w0 y* C$ p! fset k (k + 1)
% M- H( g- m7 R]
4 P7 i( C3 h8 N& Y7 e: K& bset j (j + 1)$ V8 z; _  i) E! j& R+ i$ s8 g+ V
]) }$ R0 M  A' |  `# k. d0 l6 ^& p
set note (note *(exp (- (1 / k)))/ k)5 N0 k5 D4 t$ x/ k' A, A- P
set credibility-list (replace-item i credibility-list note)7 h, ^5 g1 X5 U6 g7 u$ W
set i (i + 1)
' I) L) k/ ?7 D$ O0 Y0 p$ }]' N4 [& E* c' q& b& B
end
/ Y( i) O4 U& G. F& J9 ]
# Q& {4 }# T& v/ [! vto update-global-reputation-list/ i# w4 h9 h% R4 _3 j( y* A% ~
let j 0) y  _& c) H% ~0 I
while[j < people]; ]7 [& r5 M0 g. `& |, B# a: C" [/ Z
[
' b$ C( a* R; |# Slet new 0% ]* ~& |" @8 y, P& ^$ M
;;
暂存新的一个全局声誉0 n4 M" v( H2 Z& w" n, K
let i 0
/ S1 v! v; n* C9 v+ Rlet sum-money 0
9 w7 ]" T. H$ r9 wlet credibility-money 06 s3 t$ ?9 ?' W! N+ A9 S
while [i < people]6 y7 x6 e4 W7 J/ B! u
[2 D  c' R% I/ _! q6 w
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))( `# K6 Y- r: v
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))4 Z- |3 l3 m' V  n: D" K$ b
set i (i + 1)
5 M# b( C& {' f4 |3 _5 L6 ]% v]$ y; H# Y8 G4 F$ v# k( ]$ f
let k 0* W7 L# J, a( S. U/ H; A3 X( [8 b
let new1 0$ U0 w# V3 x6 B+ [, ^% w1 X
while [k < people]8 C. W7 E9 F( E+ i
[' I5 j# Q( f* M+ z5 O6 I' l' b
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)
, ?7 z6 p2 E4 ^! C5 U( uset k (k + 1)
& ?6 }! [9 p) o; ]: c5 Z5 }% D]) J  O0 G. D: ?2 ]* F, ^8 Q) n
set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) , r" C. d/ U) Y( L
set global-reputation-list (replace-item j global-reputation-list new)
8 [- K. Z, w. w+ s" {3 |set j (j + 1); S8 Z/ M2 e+ i* k" n; q1 v
]2 q6 P$ l: E3 z' [3 z
end# X4 x! N, X/ o1 L2 @: i- Q, x

- Q9 H" l& X. _' u5 z: `! h  B% F) B: k. Y

+ N' U3 U; M1 ^6 z9 {& n7 x7 gto get-color
1 z7 n" }! O' C# O9 b
4 P$ r  E# D: s- s9 T2 V) ?: ^set color blue

9 q6 W0 ]  C6 @7 Q6 t4 F! zend# R  \' N% V! u' _
6 b7 s9 c5 w, q3 z! t, W
to poll-class
& W9 \4 E7 x5 oend5 m& T; V' w& B, v  z
. l: E% M0 i5 _& Y  \0 Q8 x) L
to setup-plot18 z, P9 m/ f$ D* y9 Q* a1 M8 b7 X8 F9 P

- @! \. q- K% ^+ I9 c. Nset-current-plot "Trends-of-Local-reputation"
; m- }" x/ v1 h. A& g- \9 S7 Q, U* z

2 T+ P4 V; }0 P* Dset-plot-x-range 0 xmax

$ B4 H9 `- z' |! t6 ^8 b* ^
5 A  m; I& P4 iset-plot-y-range 0.0 ymax

( \" C- r3 p. u. _- N3 Yend
9 b3 ~6 k) u2 w: b
" L  n0 M% A- n. ^to setup-plot2
6 E& H% j' d  C1 K
1 E) h( [' x# ?5 ?. vset-current-plot "Trends-of-global-reputation"
  ]& s+ X9 N) s" I0 n4 c) w' J

1 ]; @( w, H' I  lset-plot-x-range 0 xmax
' c& I1 p( I1 |$ ?$ m! a' }
7 @3 j1 q1 H; ^
set-plot-y-range 0.0 ymax
+ k& s5 j! ^& o; V
end
$ t* `& O  [5 r+ @" B6 J: p6 f" Y. X! d& ]4 z% H4 c% w
to setup-plot3
! L2 P* m* `4 B' c& O5 P0 x& J
6 \$ n. c8 Z2 ]2 Xset-current-plot "Trends-of-credibility"

- E5 Y6 J7 l" K+ ?# ^1 G; Y( d; o5 W0 y. Y* w2 a; o  m
set-plot-x-range 0 xmax
, j$ c4 t. c0 I' M6 b' c

/ l& A7 V5 G* C$ {+ V  N) Hset-plot-y-range 0.0 ymax

& H+ i. \5 g& c2 L+ w4 p, Send8 c$ @# k  r: G) A- P6 A0 Q

0 g8 T) S: w, J/ x" |5 Rto do-plots) v6 w" D! |8 f$ _( B
set-current-plot "Trends-of-Local-reputation"
  `  }8 E3 W' f8 `( `set-current-plot-pen "Honest service"6 B2 w7 f2 R9 S' t3 B  }
end
! H% b& {- W( y  W& X6 C; D0 C; ]$ E" Y) [# T
[ 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.% z# q1 J2 f  B
9 Y9 o6 F# z& C7 G' e% [& o
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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