设为首页收藏本站

最大的系统仿真与系统优化公益交流社区

 找回密码
 注册

QQ登录

只需一步,快速开始

查看: 17715|回复: 10

[交流] 关于turtle的使用问题

  [复制链接]
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:- R# Z% ]6 Z2 Y; x& ~. P) P3 [9 j
to do-business " l; A4 h/ a: F. k3 v( S) N
rt random 360+ D; H- w8 T/ k. q' |
fd 19 ?4 r  y% `1 G, c# [+ k- I
ifelse(other turtles-here != nobody)[
7 Q) L3 N1 |$ O( [7 g7 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.
' Q: c- D- B. q6 q   set [trade-record-one] of self item (([who] of customer) - 1)  [trade-record-all]of self    4 y% k. X! U& ]- u" E7 R* F
   set [trade-record-one] of customer item (([who] of self) - 1)  [trade-record-all]of customer% T' I8 m" C. G% y
   set [trade-record-one-len] of self length [trade-record-one] of self$ G1 |: v0 p$ o
   set trade-record-current( list (timer) (random money-upper-limit))# C; N5 f3 a# w0 O

' \* i) G! M  V3 S* c0 X" _问题的提示如下:
3 d2 N6 z6 p8 J+ i- i% s- ^+ p4 @0 a( F
error while turtle 50 running OF in procedure DO-BUSINESS
! c- g4 L* e9 x; I" Q  w" E  called by procedure GO
6 M+ m; S! V6 J4 R5 r# MOF expected input to be a turtle agentset or turtle but got NOBODY instead.
2 @% m: f. t2 U- w/ K2 {$ f9 r9 [
(halted running of go)( D. a* R* u5 ]% j; O1 L! m
: {" @, h# I. x* y
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~~1 E: `" X" Y) v: e2 B& y
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.

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x

评分

参与人数 1仿真币 +30 +2 收起 理由
booblu + 30 + 2

查看全部评分

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
, v; S4 ]' v3 A4 wglobals[
' e5 A6 u. t0 S! \8 ^xmax" t  x# W/ k- `# |% z; s" e3 k# j' ]5 C
ymax( c$ l% _5 m, k* K0 P5 Z% ^
global-reputation-list
2 A6 w, @* F# U& z) a. L; v
* o, L+ _3 g+ y0 e;;
每一个turtle的全局声誉都存在此LIST
* O  J$ Q& p. [: S' Bcredibility-list2 w& H' s( [, }
;;
每一个turtle的评价可信度
6 a; w+ y' M7 U! \/ I& ^" W0 dhonest-service! Z. P9 b4 ]. j. r. {
unhonest-service. m- x1 x2 U! a% i) ^: f4 A" m
oscillation
4 u6 T8 V, q3 E( l, X- Crand-dynamic
# F. _) W5 i* s+ X" g$ m]6 r# R( \# w% o4 ^1 Z0 P
+ `% {  j4 j! J, {& E$ w
turtles-own[
7 a4 u" O; O8 u+ qtrade-record-all
; w8 g! b' c! q3 Q/ n;;a list of lists,
trade-record-one组成
# r5 g: r/ ~, Y4 i7 n* s/ @  `trade-record-one
2 ]! P' P3 C( m( n% l3 P2 _;;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' H& {7 ^# V) R+ P
3 p6 Q- d1 Y" X1 e# j
;;[
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]]# {) w4 X, q; P% p+ A, p
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]
* Q$ ]0 Y! h* F4 O3 Rcredibility-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list9 N8 i. L& o: p7 Y+ P# S/ \4 v
neighbor-total
9 B% ~1 N6 U% L;;
记录该turtle的邻居节点的数目' Y7 G! c3 f1 |* v$ L5 Q
trade-time: F5 {7 a. F9 [/ b5 d
;;
当前发生交易的turtle的交易时间
/ P* |/ ?& Y# R" l) h; }appraise-give8 c& ~; C0 R2 R/ {7 i! Z
;;
当前发生交易时给出的评价
. H0 Z+ z$ O& P! y. t0 aappraise-receive
  ^" k. s, A7 ~6 g& q6 P- B;;
当前发生交易时收到的评价
% D/ I) V/ Q2 N# sappraise-time! C; x2 h1 n/ n* W/ a: K
;;
当前发生交易时的评价时间
+ i: E$ N( X/ F6 x# U; ?local-reputation-now;;此次交易后相对于对方turtle的局部声誉# `# E  Z3 |% r* i8 V! T9 z! Z) y
trade-times-total
: S' A0 h3 M6 J" h$ q;;
与当前turtle的交易总次数
9 s9 _4 E3 w# `trade-money-total) X, j4 Q: {9 _' ]; B" A
;;
与当前turtle的交易总金额
8 R& x% ]" w9 ^3 L( F* c6 A+ blocal-reputation5 P: v  y6 F* d9 W& Z! f' J
global-reputation
1 [# ~& W* w% y0 v: n1 Pcredibility
( a( b( |" D( D/ D9 H;;
评价可信度,每次交易后都需要更新$ K0 ]. b  R/ ^3 ?' _
credibility-all! Z( L: G5 U9 s7 U6 s% K
;;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+ y6 n( G4 s" \$ a0 D3 t, `6 `  z0 w
" a3 Q& N! R. I
;;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
, P( A- D: [5 t' J6 Ucredibility-one4 ~, v; [$ ^9 p: G( `# n( x6 {
;;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
) x" l2 \- u$ }( w8 S  V& j$ \global-proportion
6 n4 B; K) c$ a  lcustomer
2 j3 Q3 W6 u! Lcustomer-no
8 ^1 n. t) A( F: ftrust-ok" f; \+ z' P& G- d7 k
trade-record-one-len;;trade-record-one的长度
( |- V$ v, L- X+ L]
7 `( m! g! Z/ P' \) l9 R/ u2 @# q  i. ?( P7 G. U5 S
;;setup procedure
) L8 ^$ o  M% q/ v; _/ u% p" }/ U1 F0 c2 I7 i0 Y7 L
to setup
2 x5 y- ~2 H5 J3 S1 Q* i
$ `; W. H% G, y2 _6 ]ca

3 z9 [! |! U0 ^" I- P" q- K) ^' o% N6 [( Q; A3 {8 b7 p
initialize-settings
* I6 I: B$ ^& b

# h; t6 E5 j) h$ u0 ~" Y( Z$ \. Pcrt people [setup-turtles]
1 {! e  M  R  Z
, B* o4 ]; J+ @, M# n2 U5 c* h
reset-timer

8 U; O/ I$ ~3 m- m2 C
8 f- C% w* M3 o" v' u6 e- upoll-class
% E7 ?  ]/ Q; p2 I

& W- l7 k' n7 T5 `2 p; [' [7 isetup-plots
. s+ Z/ i+ w- K3 F" J9 n0 A
( n0 D) |1 V! ]1 J3 L/ P, m
do-plots

5 j; I* H* T/ p8 ~9 Hend7 l2 s$ b/ d  D% G- d6 I5 w
9 ?+ u( ^# y; }4 F9 j# T1 u$ A9 e2 Q
to initialize-settings
- b' u- c3 b, e3 H6 O- E4 q
/ j$ _6 f% x- A4 V* k: o" X) m' r: Y/ r8 wset global-reputation-list []

: R- x$ P' I% S4 a$ ~2 M2 ^3 W! D
set credibility-list n-values people [0.5]

9 t; [2 q: `- j9 M; X, l. U& ~+ v3 m$ w
set honest-service 0
1 Z6 e2 K1 w: M) l# ?- i# J

/ k$ c5 A6 Z- N3 @6 Z* f! {3 m" X2 Tset unhonest-service 0

& W1 T3 Q7 E: Z- w+ p  j2 I- v6 B: x
6 n* c4 X2 Z5 e; {6 @5 |  Q0 Oset oscillation 0
% U; a0 e; N  Q5 ~

) Z( [; }: w5 aset rand-dynamic 0

1 p8 t+ E: W/ g, e. W! D- Hend4 [7 y+ g% T) x0 ?  b' Z. R
  M$ N' p/ L' {3 h
to setup-turtles & y2 p/ h+ k  z6 V, J8 z
set shape "person"
  L( l7 G- ~% U. q7 ^setxy random-xcor random-ycor
0 b" ~  n3 f' ~. f3 ~  X1 w% N2 oset trade-record-one []* u# E+ H5 K5 J" z9 @, z

! q! k; X- u  ?  D* mset trade-record-all n-values people [(list (? + 1) 0 0)]
# W7 o. c8 d; R9 V- }( {

3 Z7 T4 t( E  L% }. Bset trade-record-current []2 q8 y2 a, s5 q$ F! a
set credibility-receive []0 B" Q8 H$ |+ [+ \/ U9 v
set local-reputation 0.5
1 {1 T/ u& j# [( u( lset neighbor-total 0
! C6 [1 Q/ m' q7 S2 Y( fset trade-times-total 0
/ `( D, n; S/ g/ i8 _. sset trade-money-total 0, H6 H& e8 i0 K! {) V8 T
set customer nobody. [  e9 e: i7 q0 N( a
set credibility-all n-values people [creat-credibility]0 j4 x/ w" Q# {, p
set credibility n-values people [-1]8 G8 Q8 S6 }- m6 A' ]" k
get-color; T  ^% H/ g; l: q: L9 n
% e3 P( i- e* W! T
end# J8 m5 c& N  q( Q: k9 D
3 \+ h4 j' S+ W9 H* W
to-report creat-credibility
! r' \, ~; N* areport n-values people [0.5]2 ~1 I  i  T9 k# l  B' ?& I% ]
end
! C+ X! \/ v9 b* C8 p- h5 ?- q$ ]/ S7 L5 {2 K2 f3 G
to setup-plots) q8 W, F. ]5 ~4 Q5 M( G
- w6 G9 _7 d( q4 v+ Z* F) a
set xmax 30
! c2 ~" i% i% U9 C/ ^0 i

9 h! A+ T; t" x, zset ymax 1.0

0 }$ h5 H8 x9 z1 R* {2 y6 k0 L5 ^0 E0 g" [4 N+ ^
clear-all-plots
/ `" `4 _7 u% {
: z* V+ \1 ]$ I. I( `
setup-plot1

$ i4 f6 N, @% l9 ^2 E8 b" f5 v9 P/ p# a: J: X9 p# J; ^
setup-plot2

" X2 z5 Y) \8 |8 Z
6 w1 L& X, t( K4 g% d2 ~setup-plot3
* }/ j: p' j; Y( R) f5 y0 D! U+ ?
end
7 I% E4 L4 K2 C
. Z& Z3 x1 f* T8 `9 l;;run time procedures5 y% p  ~7 \2 h& O; w/ n9 T1 J9 }
/ X  h& ~& Y8 ]
to go. h9 y1 w9 `. Q) ]3 F! V" N  E) I% }4 @
- j# R6 _8 s% H. o" D4 z* R
ask turtles [do-business]

% u% o/ @, q6 c2 k2 m0 Uend! O0 g# Y5 ]# r: @; y

, {  d8 o; o; V2 _to do-business
- J( i1 D* r, D: @& N5 t8 K

. o6 d5 Y7 Z. m  G
  F. ^+ i  d# a. Lrt random 360
% b' A# G2 U1 u9 [- K
9 p; x; v% n9 t4 W% A1 B
fd 1

* A: X/ y# |1 K3 f' F( Y$ P+ o) ], {& |
ifelse(other turtles-here != nobody)[
+ I- R, W$ W3 _8 q$ D7 j- p
) ?. {( u$ a& t) o- J9 z1 w4 Z
set customer one-of other turtles-here
; U- W" D+ C. m8 B

& C$ @+ {& h6 X* ~;; set [customer] of customer myself
8 b, P/ n+ U2 J* c. W
0 s; a9 L0 k6 r0 E
set [trade-record-one] of self item (([who] of customer) - 1)2 a4 F; a, A$ Y9 o0 r* u
[trade-record-all]of self* I( r1 \7 u8 F6 c0 _# k
;;filter [item 0 (? ) = [who] of customer] [trade-record-all] of self
: V3 B+ [+ y3 W$ @  _0 O
2 \& m! ^! h( A2 @! B0 ~
set [trade-record-one] of customer item (([who] of self) - 1); ]  ^/ T$ u0 I3 a
[trade-record-all]of customer

# ?" x7 V% Y, M! v5 ~* D) Q2 s& r- S, K8 K4 q  Y
set [trade-record-one-len] of self length [trade-record-one] of self
! f) c; K0 @1 j! I$ W; W
% G6 p; s7 q+ v- ?
set trade-record-current( list (timer) (random money-upper-limit))
; k: O9 [! D# g$ R6 a' ]# M" S

3 ~, Z: t0 h/ s' y2 V; _- x8 T8 lask self [do-trust]6 v( G  a7 u% W9 U$ z) C" i
;;
先求ij的信任度
# i7 |; U+ H4 D& V" y5 P7 y! U# W5 a2 a. _: D7 k
if ([trust-ok] of self)9 x( ~. @. G0 Y2 Y
;;
根据ij的信任度来决定是否与j进行交易[" s( s1 d( x4 _( U% D
ask customer [do-trust] if ([trust-ok] of customer);;
这里可能会用到myself
2 ?$ R: }( A# n% b9 ~- g: ?% E! G& `- w  w5 u3 z
[

; ?  z% g% H5 Z6 K* P
: a. J( l- v2 z& C/ i3 Hdo-trade

! F* M* u+ s! q! D1 {4 d" `9 n( X, c8 y( Z
update-credibility-ijl
( s, e, A) a+ ^/ d* K9 O

" d9 i6 T8 N' c( e* Wupdate-credibility-list! \4 ?& R8 J2 o1 G8 x4 s* ?
* F+ Y* y0 h7 a6 |# C* w6 f
6 C3 ~- w+ W+ g* e" _; p/ {" e
update-global-reputation-list

4 h% l9 B8 ~/ q5 v# w0 F$ H' ]/ j5 ^% J" q$ a7 A- V6 @
poll-class
' o8 ]/ H/ |( W) {
4 O, [7 w/ K& C4 R% c, e
get-color
, l; u- N! Z7 ]7 v- V

; p# l) G6 H4 c' z" _2 x]]
3 N( \: p3 L( |3 L8 `4 g; D+ R$ }' a* O8 w- q# [
;;
如果所得的信任度满足条件,则进行交易& d; K( G- S9 V
8 X5 f' F% y' M2 F. s# J; C3 c) X: s8 a
[
1 Z! p" c) t- _$ N6 ~* h: M6 i
2 K4 \  Z4 w7 R# r- [& T  f: x# D& V
rt random 360
  J) F! W; r8 M6 z' a7 ?" R0 ]
3 r8 e9 P3 `+ a% N
fd 1

3 J! M* E3 t7 l3 t4 H. f& F2 c) x
- c. J" a9 L7 Y: T5 i- Y]

& N: f# i- K. ~( Z( Q: i! A# L& T! V
8 X+ l9 K! b" S1 B: ?end
1 }5 o4 ^# s) j, r. ]2 N. s

* E* T3 s4 w: m  Z) `; Xto do-trust
- @" |5 j3 O7 G" H& g- |set trust-ok False/ V, h/ K3 R0 B; x/ V5 K

2 T% J$ H$ {- V  q% m
6 a4 a: C' F  u  F* d- r* p
let max-trade-times 0" k  K) d% z) O" y" G. T; b) i: J+ e
foreach [trade-record-all] of customer [if item 1 (?) > max-trade-times [set max-trade-times item 1 (?)]]* K5 o; C5 `$ K$ A
let max-trade-money 0( l. |) d' P4 ]1 y- w0 Z. t. [7 C
foreach [trade-record-all] of customer [if item 2 (?) > max-trade-times [set max-trade-times item 2 (?)]]0 h3 \( g- t. ~4 L0 N
let local-proportion sqrt((item 1 [trade-record-one] of myself * item 2 [trade-record-one] of myself) /( max-trade-times * max-trade-money))
- n+ k+ c! y* o8 [3 g9 C9 N8 [
) \* E+ @. D( C/ U1 m
! ]* b$ f" j* A% m) L2 J. I# C
get-global-proportion% Y3 v4 I5 ^; ~$ I7 Q
let trust-value% @' Y* y8 m( D+ `8 @0 _$ G6 j
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)

& c: {) W3 c4 @if(trust-value > trade-trust-value)
' X  z& ]7 H8 C% j; ]! t/ n[set trust-ok true]1 H+ x. M* G+ l$ D4 Y
end
$ D5 ?$ q& \% o3 z" r
3 ^9 }7 G5 }' pto get-global-proportion
9 t/ E: o7 f% H5 K/ u, b% J/ O7 Eifelse([neighbor-total]of customer = 1) and (trade-record-one-len > 3)  x1 f- U: x4 m9 q9 X' o
[set global-proportion 0]
" c$ u# @7 I5 @; u[let i 0
0 N8 x" |3 O% blet sum-money 0" l4 o# H& f4 \- D& y2 f. }$ |/ a$ A
while[ i < people]
' E4 v! y+ |0 ~2 ^- m6 @  k1 U[
9 q! Y& [/ P. ~0 {; T; }7 O- @/ xif( length (item i5 H7 J+ x5 V6 [2 ]
[trade-record-all] of customer) > 3 )
( I! b% a# D' N/ ?% ]8 ^$ j
[
  T2 N  R1 W% Z9 c6 k+ ~: P% u: jset sum-money (sum-money + item 2(item i [trade-record-all] of myself))( V9 ~7 [, b* r6 b; \4 ~
]
7 b# P: b. o# i: O1 Q* r]
( n. G: X/ J5 h8 I5 }5 f  Dlet j 08 G5 x/ E2 F0 K9 E% F7 l
let note 0/ I+ y( T( N; c
while[ j < people]
0 z8 x! F# }) ]/ N[
0 ^- K/ a! Z/ N# e; r, i! L: [if( length (item i
4 ?- I. R. B1 z4 j/ ^: _  z[trade-record-all] of customer) > 3 )
' a5 ]9 `: O; N0 H+ ~
[
# |* {/ H- t" [% \, }6 ]$ y( n7 ]ifelse(item ([who]of myself - 1) [credibility] of turtle j != -1)
8 i& A* Y' m+ }4 G3 B: `+ l[set note (note + (item ([who]of myself - 1) [credibility] of turtle j )* item 2(item i [trade-record-all] of myself)/ sum-money)]# _! o! w- X7 l; l+ Z
[set note (note + (item (j - 1) credibility-list) * item 2(item i [trade-record-all] of myself)/ sum-money)]4 p+ l7 Q4 X7 T4 N
]  m, m7 D* X4 k% j$ S8 o
]6 p& z2 D6 R3 n
set global-proportion note
" J: Z0 E0 C# ?]/ K+ l5 ?8 U; |2 b9 z3 g% s
end1 Z+ E; A4 V& K9 r! \

. A2 ^% g" n8 H7 @2 ]( U: R1 zto do-trade
( u0 G  H! [# n: [;;
这个过程实际上是给双方作出评价的过程
% f" m0 [' z9 ^% Zset trade-record-current lput( random-float 1) trade-record-current ;;turtle 得到的评价
( u9 T9 o8 v/ f9 rset trade-record-current lput( random-float 1) trade-record-current ;;turtle 给出的评价' q/ @4 l% R9 B' P3 k1 T. M
set trade-record-current lput(timer) trade-record-current
; t+ b7 }8 f% E) {;;
评价时间" T8 ?2 r& k2 k. X
ask myself [
& G7 E: s5 s1 e& @! U9 Nupdate-local-reputation4 P4 t$ M4 o1 h& z, _3 q1 T
set trade-record-current lput([local-reputation] of myself) trade-record-current) W" P- K' ]8 F! y! R5 I
]
) v# p$ ?2 q/ B. ?6 }* @: qset [trade-record-one] of myself lput(trade-record-current) [trade-record-one] of myself
, ]3 L9 U  X" L8 m" M- x;;
将此次交易的记录加入到trade-record-one
3 `# B9 d+ J' f: Eset [trade-record-all] of myself (replace-item ([who] of customer - 1 ) [trade-record-all] of myself [trade-record-one]of myself)1 j& @4 F# `! ~+ X3 D
let note (item 2 trade-record-current )+ k! |3 s& v7 J9 m. O
set trade-record-current
$ p6 E( A/ h! Z+ w(replace-item 2 trade-record-current (item 3 trade-record-current))
6 }4 ], ]+ t' }( z
set trade-record-current
$ s; b# l  P9 m# u5 ]8 _(replace-item 3 trade-record-current note)
: {# c9 V* q/ }: V, `* A4 u% ~3 l: B, E% F) G
: x9 g) K1 e$ }; s1 U
ask customer [
- t# L+ u6 C! Eupdate-local-reputation
9 f( L, D2 }- S5 ^set trade-record-current
4 c: s+ S8 D+ e(replace-item 4 trade-record-current ([[local-reputation] of myself]of customer))
: X( m6 C$ o, G9 d- z5 @( E
]
8 i1 a# T1 }/ b: y5 U7 o. b: ?8 D; F9 W" W& O' [/ a; a; X  I9 l! C

1 a! g- i7 r! oset [trade-record-one] of customer lput(trade-record-current) [trade-record-one] of customer
% I4 ?- c) B% x' j( f$ o

- }# n7 ^* E' [6 j7 e$ Tset [trade-record-all] of customer (replace-item ([who] of myself - 1) ([trade-record-all] of customer)([trade-record-one] of customer))
9 Z* s: N  S# k+ d;;
将此次交易的记录加入到customertrade-record-all
- z2 t2 V1 C$ {; o: T! ^6 r+ Nend/ Z6 F9 e- E2 b5 l5 y! T- W. i, d# X: l' J

7 s5 |/ u, `9 K8 `to update-local-reputation2 V" Y) ^. k# g4 f, m2 H: l* N
set [trade-record-one-len] of myself length [trade-record-one] of myself; H& a7 Y9 g; F- }. {& I0 V
% d( R& K8 [0 t) e) a7 o
0 ~5 K& |7 l7 P( B
;;if [trade-record-one-len] of myself > 3
2 [( A: Y2 ^( Z0 j0 X# R
update-neighbor-total+ D+ u! F* _( d; e) y' h( t9 c
;;
更新邻居节点的数目,在此进行
5 g7 ^+ [3 u6 [& z& n8 Qlet i 3
: P* ?0 r7 Q) W2 slet sum-time 0$ g& O0 ^. z. e# Z1 A
while[i < [trade-record-one-len] of myself]
& i: Y+ }% e; |) m* G; f& z! b1 u! y[2 @! R1 A. V  c; x6 \
set sum-time ( sum-time + item 0(item i [trade-record-one] of myself) )
$ i+ S+ D$ O4 h' ]set i
. x# P# D2 G9 E( i + 1)

) J1 _% d! n  ^9 u]
- k1 |6 D! K/ H' K1 D! Jlet j 35 K7 J+ [- l3 @' V6 A4 C) y
let sum-money 07 W/ N, l& T$ P+ |; o' j% i6 a' W
while[j < [trade-record-one-len] of myself]6 y/ d' Q8 S, ~( ?7 w8 f& c. ~
[# I& g3 s4 z! d2 n; |+ B' 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)
/ {- a6 t9 Y. S; @) X+ ]6 hset j/ H. V5 ?/ R0 A+ o
( j + 1)

8 b2 l8 e& o) k]
) p, C- |/ N* X7 V0 q# Y6 {! S3 Flet k 3* k; ^, {- P" s; b2 ]5 S5 S
let power 0
8 z/ P( |, C' R3 V) g9 clet local 05 ^. f6 p4 m5 C6 M$ C& h
while [k <[trade-record-one-len] of myself]
  r/ |; s2 x6 Q8 x[- ~# W8 {4 {+ R5 F, u0 l' u4 h% X
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)   l' O# g  ]5 {* K8 l) E/ H/ y4 z
set k (k + 1)) A( r$ C6 ^/ s  p
]9 e& V* @, F8 ]( w& v/ U
set [local-reputation] of myself (local)5 O5 t5 L; }! \0 j, W
end
: I0 d4 a. G6 ?% w6 W& b- f3 a' R6 U& }/ I6 J8 N3 {8 k/ T/ T
to update-neighbor-total
- g9 r: s8 ^" _' Z
4 y) \% f3 ]! G  N7 }- a% G* x$ Tif([trade-record-one-len] of myself = 3) [set neighbor-total (neighbor-total + 1) ]- P- o% i7 Y' H

: B2 u  T: K- `0 g

: u2 S- M3 t  s& y' u" {# @, R8 qend
9 o8 W- o7 j2 n* b+ [4 [  U! D* T" K! r
to update-credibility-ijl
9 j5 W; X9 v# P( i) L& y. t' A! i9 [5 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。# T+ O) K4 V) |) \( U- k
let l 0
. S" G9 P! _1 \8 x! Owhile[ l < people ]- |% U% a  B; a8 q& k6 _
;;
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
$ N  R+ R8 f4 ]* k, t, M+ y[
) {+ n4 O' I5 |! E! N1 }let trade-record-one-j-l-len length item l ([trade-record-all] of customer)4 Z# x, [9 ^1 t" d, e
if (trade-record-one-j-l-len > 3)
/ r# W% [. {# e" h+ l7 Q8 Q: X[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* K9 g; _0 v5 l* H! O' N
let i 3
: Q6 q! D* N. ^0 p: n" hlet sum-time 05 I1 X; P. R( N: z3 p
while[i < trade-record-one-len]
/ L9 @/ D* ]0 v5 c' N9 q[
! O4 C+ M! {, L5 M: qset sum-time ( sum-time + item 4(item i [trade-record-one] of myself) )8 A* [% f) [0 K
set i
4 r. @8 J5 F, N) @1 I2 R# k( i + 1)
4 `. I8 u9 X+ v
]
+ Z1 V7 g- D4 k. e; y: u& R$ Mlet credibility-i-j-l 0: H% z2 T& D# z; J7 T
;;i
评价(jjl的评价)7 x+ E8 E+ o7 {, a, E8 J- z7 E
let j 3$ p6 S3 N) Q: d7 j4 Q" r/ U( d' w+ k/ k" z
let k 4
4 C/ b6 [! a4 I6 b* x# ewhile[j < trade-record-one-len]3 u' L0 ?) ?' j
[
/ @& f0 T! K: Iwhile [((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, M  A( R, R' t
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)
+ K0 o, ]" v1 v8 Iset j
2 Q7 Y7 ]5 K: z  K/ G' r7 Z( j + 1)

1 o# X0 n: g8 a8 p, H]
- F& c8 a+ ^' e/ L3 N# Xset [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 ))# ]# a4 v- j6 b! i6 W7 s

! O0 q3 [% [* ?$ e" x* M
% y: c" I# `5 l! P( n) Z+ G
let note ((sum (item ([who] of myself - 1)([credibility-all] of turtle l)) - 1 ) / (people - 2))
; B5 [' D% ]; q2 Q' m; U;;
及时更新il的评价质量的评价
: |8 g# L9 F2 Q% F) i, f. N  sset [credibility] of turtle l (replace-item ([who] of myself - 1)[credibility] of turtle l note) ]
. F' G" l* ]( g3 Y% S( n2 d  b0 C3 ~3 Hset l (l + 1)
* x1 J' E" r" ^* K1 f0 C" R0 g4 C]8 x- h5 S; C8 ]
end
7 [& S2 S# C: M7 P9 z7 B
; f2 J# ^5 H1 v4 }7 e& ~to update-credibility-list) o; w0 v0 T) W8 X5 O8 u
let i 0
: n. @/ W- C: W9 s6 Dwhile[i < people]  ?6 b' m' K) c8 @* b' s
[3 a% L) y7 p9 |
let j 0
$ x1 }% P( R( Y) X: Flet note 0/ u) K" N! Z0 l, R& `6 l
let k 09 m5 m+ P! L5 K8 M
;;
计作出过评价的邻居节点的数目4 b0 Z2 Q' j5 S% E& e
while[j < people]. A) z& B5 O0 U& R4 [3 T0 t/ e
[
: C8 p; V1 `9 u/ u* r' o5 E8 Sif (item j( [credibility] of turtle (i + 1)) != -1)
; H" e% |1 Z) j2 f;;
判断是否给本turtle的评价质量做出过评价的节点
, p* @9 q# o4 Z4 g[set note (note + item j ([credibility]of turtle (i + 1)))
2 f, f0 ?  ^& R0 Y, [: z3 X2 T;;*(exp (-(people - 2)))/(people - 2))]

( S7 _2 ~# M: g2 m. s, x: aset k (k + 1)
9 M+ s" Y" P. y4 C: j: F5 f4 d) G  @]* M  c' Z2 Z6 z5 m; l0 |
set j (j + 1)
' |9 d' }1 ^& ^% t( []6 z8 B+ W2 M2 I. ]+ N& o
set note (note *(exp (- (1 / k)))/ k)* t0 `4 a/ z- |6 O  E/ r) k3 }/ ^
set credibility-list (replace-item i credibility-list note)
7 q$ e4 S9 W6 Fset i (i + 1)
4 j2 {0 F0 ~6 N/ g& n7 {& w]
+ s+ }* S9 \# a7 e! u8 [$ Kend
8 j: J8 I4 S1 b3 y1 ?8 Y  M" H
3 @5 w3 \3 Q. Q) ]5 H) z$ ]to update-global-reputation-list
) H* |8 g" `& p: \9 h! ulet j 08 h  X# i' c* T3 k
while[j < people]
$ C+ L' H0 F( a' y[
* O: @& Z# m9 ^) flet new 0( W* R% h# l4 z1 X8 u( i
;;
暂存新的一个全局声誉
8 i" h9 V3 k7 P9 [$ R# ]$ u1 alet i 05 g0 G& q% }- T( z7 q3 F. G6 [/ N
let sum-money 0
! c( }# e- i& H6 ]' [9 ?7 r( i1 Alet credibility-money 00 N- U! a3 h3 c' E- B$ T$ o: `
while [i < people]' X$ `* j3 ^, K1 b& w  A
[, N: ^2 C- i  f8 h
set sum-money (sum-money + item 2(item i [trade-record-all] of turtle (j + 1)))$ s& ?% o5 w; |; m; U7 U8 v
set credibility-money (credibility-money + (item 2(item i[trade-record-all] of turtle (j + 1))) * (item j credibility-list))5 p8 F9 V9 t+ i& T8 t4 m
set i (i + 1)
+ u4 J( e: d: X" l3 n]
& l: W  U6 X! H3 clet k 08 c; W  x  l! `" l& }; R
let new1 0
( c2 g+ H) E7 A) P/ t' ?& Swhile [k < people]- Z9 D+ M. v( Z, G( @
[
8 s  H% ~" [2 k6 i& T8 Nset 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)2 x- ?( B6 [" V- L( f& d1 l; F
set k (k + 1)
5 L: b7 ~9 R; p- f) a% a]
/ W/ P7 N5 \& p" }set new ((exp( -(1 /(sum-money * [neighbor-total] of turtle (j + 1))))) * new1) + d( U  |  e* \4 f& n
set global-reputation-list (replace-item j global-reputation-list new)8 }# O# n5 x) G
set j (j + 1)4 g4 ~- S# j$ S9 A1 z8 s8 n% H7 p
]% ~6 A4 j2 D9 _
end  @% n2 I& Z1 m8 P3 Z

. z( `0 l3 F5 b8 }( m
; Q9 r; G2 z4 \9 M6 [: c8 n/ k4 X* V. Y
to get-color# {: I' B8 T6 ?, y- P
2 G& |4 G% P) D3 I% `2 r
set color blue

- V' q  l! E. B) `end# F' M1 E9 Q4 A# I/ D
9 r8 Z# n3 v, B, h# [7 y2 r4 ^/ N
to poll-class2 ?: M; y4 i- P3 Q! J
end' M/ u0 Z7 R1 d8 ~7 L4 @
. b0 {5 ?0 r5 s& m
to setup-plot13 z% h8 n& m% W7 G3 }3 j7 b

2 ^- Z, o2 N/ X# B, _7 ^4 Bset-current-plot "Trends-of-Local-reputation"

# L, W7 ?- y/ d! A4 I
; ^2 l1 ]' a1 x+ u3 ?7 b6 Iset-plot-x-range 0 xmax

1 h) Z! H3 Y6 ^/ U0 J" @# f6 n  r  A9 c1 u/ M: U
set-plot-y-range 0.0 ymax

8 h: ?) Z" S; @end
, r7 G$ l8 F( H2 m" |+ X: {: i7 t
6 u! ]/ M) W3 t! Pto setup-plot2
) P  N/ G- ^  X, i( r9 Z# y& C; u' z
set-current-plot "Trends-of-global-reputation"

$ }8 G# }0 g& n  \/ S: H4 d
6 h! B; f5 q8 K# t7 l' dset-plot-x-range 0 xmax
& q! M3 Z' a1 f/ q3 \

9 G2 \8 G7 h6 o5 Uset-plot-y-range 0.0 ymax

) c& v( b6 I7 Z- _" ^2 s. _/ r3 v& Cend
0 G  D7 U6 g7 M9 G5 r6 T& T# W$ g4 R& e" ]; I
to setup-plot3
7 k! q7 k' g  m- b9 h+ i. q
! v' Y: l  [2 o  n; ?set-current-plot "Trends-of-credibility"

$ B+ D- y* {6 \- ^5 X2 t- g% {  p1 T) O4 s
set-plot-x-range 0 xmax

: @, }2 ?9 ?& H' _' W, T& s9 @( i
/ w7 X  C. n! aset-plot-y-range 0.0 ymax

; \# d7 f3 M. ]) ]7 w5 E& Jend( l4 Z7 T) ^& p! Z3 ?5 f+ }
% A1 w( E' z3 J  ]) Z' S& W
to do-plots
1 D# m& }# [. S6 F* V" pset-current-plot "Trends-of-Local-reputation"
$ }3 T: g1 q$ v1 W, dset-current-plot-pen "Honest service"
: E, H* ^7 [9 K/ gend
2 B# v8 Q. u+ j9 k& l& o& t7 _* s# n; L& F7 a
[ 本帖最后由 Taliesin 于 2008-3-19 12:45 编辑 ]

本帖子中包含更多资源

您需要 登录 才可以下载或查看,没有帐号?注册

x
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.
3 i: S8 E9 X6 r& m* w! c) l, ~$ ?0 r$ `$ H1 t4 y
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?
您需要登录后才可以回帖 登录 | 注册

本版积分规则

QQ|Archiver|手机版|SimulWay 道于仿真   

GMT+8, 2026-8-21 23:18 , Processed in 0.018763 second(s), 18 queries .

Powered by Discuz! X3.4 Licensed

© 2001-2017 Comsenz Inc.

快速回复 返回顶部 返回列表