CFP: Special Session on Coevolution at IEEE Computational Intelligence and Games - Computational Intelligence and Co-evolution

Message from discussion CFP: Special Session on Coevolution at IEEE Computational Intelligence and Games
MIME-Version: 1.0
Date: Tue, 1 Jul 2008 16:34:22 -0700 (PDT)
In-Reply-To: <22503774-f0e3-492e-9bcd-68effeb4f458@a32g2000prf.googlegroups.com>
References: <22503774-f0e3-492e-9bcd-68effeb4f458@a32g2000prf.googlegroups.com>
User-Agent: G2/1.0
Message-ID: <a390ae42-378a-4195-94b2-bcc1f0458393@p25g2000pri.googlegroups.com>
Subject: Re: CFP: Special Session on Coevolution at IEEE Computational 
	Intelligence and Games
From: phi <PhilipHings...@gmail.com>
To: Computational Intelligence and Co-evolution <coevolve@googlegroups.com>
Content-Type: text/plain; charset=ISO-8859-1
Content-Transfer-Encoding: quoted-printable

Just a note to let you all know the deadline for papers has been
extended to August 15.

On Jun 25, 2:45=A0pm, phi <PhilipHings...@gmail.com> wrote:
> Coevolution in Games (http://www.csse.uwa.edu.au/cig08/specialSessions.ht=
ml
> )
>
> A Special Session at IEEE Symposium on Computational Intelligence and
> Games
> Perth, Australia
> 15-18 December, 2008
>
> Special Session Chairs: Julian Togelius, Alan Blair and Philip
> Hingston
> Contact: julian.togelius AT gmail.com
>
> Submission deadline: 15 July 2008
> ( see the call for papers athttp://www.csse.uwa.edu.au/cig08/cfp.html
> )
>
> Description:
>
> In coevolution, the fitness of a solution is determined not (only) by
> a fixed fitness function, but also by the other solution(s) being
> evaluated. Thus, coevolution has the potential to overcome several
> problems with static fitness functions, paving the way for more open-
> ended evolution. However, several phenomena common to coevolutionary
> algorithms are at present poorly understood, including cycling and
> loss of gradient. Further understanding of such phenomena would
> facilitate more widespread use of coevolutionary algorithms.
>
> This special session seeks to bring together research that uses
> coevolutionary algorithms to learn to play games, uses games to
> investigate coevolution, or uses coevolution as a basis for game
> design. Due to their adversarial nature, often involving interaction
> of multiple agents, games are uniquely suited to be combined with
> coevolution. We invite both theoretical and applied work in the
> intersection of coevolution and games, including but not limited to
> the following topics:
>
> Competitive coevolution
> Cooperative coevolution
> Multiple populations in coevolution
> Coevolution with diverse representations
> Theory of coevolution
> Preventing cycling and loss of gradient
> Coevolution-based game design
> Self-play and coevolutionary-like reinforcement learning
> Relative versus absolute fitness metrics
>
> About the organisers:
>
> Julian Togelius is a researcher at the Dalle Molle Institute for
> Artificial Intelligence (IDSIA) in Lugano, Switzerland. His research
> interests include evolving game-playing agents, modelling player
> behaviour, and evolving interesting game content, mainly using
> evolutionary and coevolutionary techniques. He also co-organizes the
> well-attended Simulated Car Racing Competitions for the IEEE CIG and
> CEC conferences.
>
> Philip Hingston is an associate professor of computer science at Edith
> Cowan University in Perth. His research interests are in the theory
> and application of artificial intelligence and computational
> intelligence. He has a particular interest in evolutionary computation
> as a tool for design, and in computer games. He is chair of the IEEE
> CIS Task Force on co-evolution. More information can be found on his
> home page at:http://www.scis.ecu.edu.au/Staff/staffinfo.aspx?staffid=3Dph=
ingsto.
>
> Alan Blair is Chair of the IEEE CIS Task Force on Co-evolution and
> Games. His research interests include robot navigation, image and
> language processing as well as co-evolutionary learning for
> Backgammon, Tron, IPD, simulated hockey and language games. His