WCCI '94 (1st World Conference on Computational Intelligence) $BJs9p(B

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Written as plain text: 94-7-?.
Rewritten by HTML: 95-10-31, Updated: 95-10-31.

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1994 $BG/(B 6 $B7n(B 26 $BF|(B $B!A(B 7 $B7n(B 2 $BF|$K(B Walt Disney World Dolphin Hotel (Orlando, Florida, USA) $B$K$*$$$F(B WCCI '94 $B$rD09V$7$?!%(BWCCI $B$O(B Fuzz-IEEE (International Confernce on Fuzzy Systems), ICEC (International Conference on Evolutionary Computation) $B$*$h$S(B ICNN (International Conference on Neural Networks) $B$H$$$&(B 3 $B$D$N3X2q$r$"$o(B $B$;$?$b$N$G$"$j!$:#2s$,Bh(B 1 $B2s$G$"$k(B ($B1. WCCI '94 $B$N35MW(B

Tutorials, 18 $B7o(B (6/26 $B$*$h$S(B 6/29)

$B:#2s$O(B tutorial $B$OD09V$7$J$+$C$?!%(B

Public Lectures, 3 $B7o(B

3 $B7o$9$Y$F$rD09V$7$?!%(B

Plenary Talks, 10 $B7o(B

10 $B7o$N$&$A$D$.$N(B 6 $B7o$rD09V$7$?!%(B

Concurrent Minisymposia, $BH/I=(B 30 $B7o(B

6/27 $B$+$i(B 7/1 $B$^$G$NKhF|(B 11:30(IP(B12:20 $B$N$"$$$@$K!$(B3 $B$D$N%H%i%C%/$K(B $B$o$+$l$F$R$i$+$l$?!%$D$.$N(B 6 $B7o$rD09V$7$?!%(B

FUZZ-IEEE $B0lHL%;%C%7%g%s(B

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ICEC $B0lHL%;%C%7%g%s(B

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ICNN $B0lHL%;%C%7%g%s(B

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6/28 $B$K$O(B WCCI $BA4BN$N(B reception, 6/26, 6/27, 6/29 $B$K$O$=$l$>$l(B FUZZ-IEEE, ICEC, ICNN $B$N(B reception $B$,$R$i$+$l$?$,!$$3$N$&$AJs9pl$G(B journals $B$d%K%e!<%m$N%7%_%e%l!<%?$J$I$NE8<($,$"$C$?!%(B

2. $BCmL\$9$Y$-H/I=(B

$B0J2[Public Lecture] Lofti Zadeh: Fuzzy Logic: Issues, Contentions and Perspectives (6/26 18:15-19:15). Zadeh $B$O(B Fuzzy $B$N;OAD$G$"$j!$:G6a$G$O8EE5E*$J(B Fuzzy $BM}O@$K$H$I(B $B$^$i$J$$(B Soft Computing $B$H$$$&$b$N$rDs>'$7$F$$$k!%$3$N9V1i$K$*(B $B$$$F$O(B Fuzzy $BM}O@$K$*$$$F0U?^$7!$(BSoft Computing $B$K$*$$$FpJs=hM}!W$K4X$9$k4pK\E*$J$+$s(B $B$,$($r>R2p$7$F$$$k!%$=$N0lIt$r$3$3$K5-=R$9$k$H!$(BSoft Computing $B$H$OHs7A<0E*$+$D@53N$G$O$J$$$,!$$3$l$Oe$K!V$+$?$$!W(B($B@53N$G$?$7$+$J(B) $BCN<1$r2>Dj$9$k$H>pJs=hM}$O$&$^$/$$$+$J$$(B ($B9b2A$K$D$/(B) $B$Hl$H$OBPm(E*$G$"$k!%:G6a$K$J$C$FpJs=hM}$,(B $B5^B.$K$?$A$"$,$C$F$$$k$H(B Zadeh $B$O$$$&$,!$$=$NM}M3$O$3$N$h$&$J$d(B $B$o$i$+$$>pJs=hM}K!$,Ia5Z$7$F$-$?$+$i$@$H$$$&!%$o$l$o$l$,$3$N$h(B $B$&$JN)>l$K$?$D$Y$-$+$I$&$+$O$Y$D$H$7$F!$$3$l$O(B Real World Computing $B$K4X$9$k$R$H$D$N=EMW$JE/3X$@$HJs9p[Plenary Talk] Lawrence Fogel, Ph. D.: Evolutionary Programming in Perspective. Evolutionary Programming $B$NNr;K$d$+$s$,$($+$?$J$I$K$D$$$F$N9V(B $B1i$@$,!$$=$N>\:Y$JFbMF$O$H$b$+$/!$(BFogel $B$,!V%N%$%:$O$h$$$b$N(B $B$@!W$H$$$C$F$$$?$3$H$K6&46$7$?!%(B
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[Plenary Talk] Toshio Fukuda: Fuzzy-Neuro-GA Based Intelligent Robotics.

$B$=$l$>$lMxE@$H7gE@$r$b$D(B Fuzzy, Neuro, GA $B$r$&$^$/$/$_$"$o$;$?(B $B%m%\%C%H$r>R2p$7!$CN@-(B (computational intelligence) $B$O$3$N$h$&$J(B $B$5$^$6$^$J5;=Q$N$/$_$"$o$;$N$J$+$+$i$&$^$l$F$/$k$H[Mini Symposium 6/27] Bernard Manderick: How to Improve GA-Performance for Combinatorial Optimization Problems by Analyzing Their Fitness Landscape. GA $B$K$h$k:GE,2=$N@-G=$r$"$2$k$?$a$K(B fitness landscape $B$NE}7WE*(B $B$J2r@O$r$D$+$&J}K!$rDs0F$7$F$$$k!%$3$l$O0dEA%*%Z%l!<%?(B ($B$NE,(B $BMQ$K$h$C$F$($i$l$kE,1~EY4X?tCMNs(B (?)) $B$N<+8JAj4X$K$b$H$E$/J}(B $BK!$G$"$k!%Js9pCCM $B$K$*$1$k%7%9%F%`$N$U$k$^$$$r$7$i$Y$k(B $B$?$a$K$=$N7W;;2aDx$K$*$1$k6I=jCa=xEY$N<+8JAj4X$r7W;;$7$?$,!$(B $B$=$3$+$iL@3N$J7kO@$r$_$A$S$-$+$M$F$$$k!%$3$NH/I=$O8&5f$r$9(B $B$9$a$k$?$a$N%R%s%H$K$J$k$N$G$O$J$$$+$H$+$s$,$($i$l$k!%(B

[Mini Symposium 6/28] Hiroaki Kitano: Beyond AI Winter: The Double Helix of AI and Alife.

$B$3$N9V1i$NFbMF$O!$H/I=^5-G09V1i(B $B$J$I$H$+$J$j=EJ#$7$F$$$k!%8=:_$O(B AI $B$NE_$N;~Be$@$,!$H/I=o$JLdBj$r$H$/(B $B$K$O(B AI $B$d(B ALife $B$,I,MW$G$"$j!$$3$l$i$N8&5f$r$9$9$a$FE_$N;~Be(B $B$r$N$j$3$($h$&$H$$$&[Mini Symposium 6/30] Gerald Tesauro: Why does TD-Gammon Learn So Well. $BH/I=$N$$$/$D(B $B$+$NH/I=$K$*$$$F$b$-$+$l$?$,!$%N%$%:(B (= $B%i%s%@%`$5(B) $B$r$H$j$$$l(B $B$?7W;;$r8&5f$7$F$$$kJs9p[Fuzz-IEEE $B0lHL(B] Ruttkay, Zs.: Fuzzy Constraint Satisfaction $B$3$NH/I=$OD09V$G$-$J$+$C$?$,!$Js9po$N@)Ls=]E*$JHO0O$K$H$I$^$C$F$$$k!%Js9pCCM $B$K$*$$$F$O$3$N$h$&$J(B fuzzy $B$J@)Ls=@\E*$KI=8=$G$-$k$H$H$b$K2r$/$3$H$,$G$-$k$N$G!$$3$NO@J8(B $B$*$h$S$=$l$,;2>H$7$F$$$kB>$NO@J8$H4X78$E$1$k$3$H$K$h$C$F!$(B $B$^$H$^$C$?8&5f$H$9$k$3$H$,$G$-$k$H$+$s$,$($i$l$k!%(B

[ICEC $B0lHL(B] Tamaki, H., et al.: A Comparison Study of Genetic Codings for the Traveling Salesman Problem & Bui, T., and Moon, B.: A New Genetic Approach for the Traveling Salesman Problem

$B$3$l$i$NH/I=$O(B GA $B$K$b$H$E$/J}K!$K$h$C$F(B TSP ($B=d2s%;!<%k%9%^(B $B%sLdBj(B) $B$N$h$$6a;w2r$r$b$H$a$k$3$H$K@.8y$7$F$$$k!%$3$l$i$NJ}(B $BK!$O$9$G$KC1$J$k(B GA $B$G$O$J$/!$6I=jC5:w$dB>$N$$$/$D$+$N5;K!(B $B$r(B GA $B$H$/$_$"$o$;$?$b$N$G$"$j!$$3$N@.8y$,(B GA $B$K$h$k$b$N$G$"(B $B$k$+$I$&$+$O$&$?$,$o$7$$$HJs9p[ICEC $B0lHL(B] Mikami, S., and Kakazu, Y.: Genetic Reinforcement Learning for Cooperative Traffic Signal Control $B$3$N8&5f$G$O!$(BGA $B$r$D$+$C$?6/2=3X=,$K$h$C$F8rDL?.9f@)8f$r:G(B $BE,2=$7$h$&$H$7$F$$$k!%$3$NJ}K!$N6=L#$V$+$$E@$H$7$F6I=jE*$J(B $B>pJs$@$1$GBg0hE*$J:GE,2=$r$7$h$&$H$7$F$$$k$3$H$,$"$2$i$l$k!%(B $B$=$NE@$K$D$$$F$OF|K\5!3#3X2qBh(B 71 $B2sDL>oAm2q$K$*$$$F$*$J$8Cx(B $B[ICEC $B%]%9%?!<(B] Nakano, K., et al.: An Approach to Evolutional System ... To be supplied ...

[ICEC $B%]%9%?!<(B] Jacquelin, et al.: Pattern Fed Objects: A New Approach for Textured Image Segmentation

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[ICEC $B%]%9%?!<(B] Wada, K., et al.: Evolutionary System: Structures and Functions

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[ICNN $B0lHL(B] Special Invited Session: Nonlinear PCA Neural Networks,
Karhunen, J.: Optimization Criteria and Nonlinear PCA Neural Networks,
Sudjanttos, A., and Hassoun, M.: Nonlinear Hebbian Rule: A Statistical Interpretation,
Xu, L.: Theories for Unsupervised Learning: PCA and its Nonlinear Extensions, and
Palmieri, F.: Hebbian Learning and Self-Associatin in Nonlinear Neural Networks.

$B$3$l$i$NH/I=$O(B Oja $B$K$h$k(B ($B@~7A$N(B) $B[ICNN $B0lHL(B] Usami, Y.: Solving Traveling Salesman Problem by Real Space Renormalization Technique $B$3$NH/I=$OD09V$G$-$J$+$C$?$,=EMW$H$+$s$,$($i$l$k$N$GJs9p$9(B $B$k!%(B
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Y. Kanada (Send comments to kanada@trc.rwcp.or.jp)