On Aug 1, 2011, at 3:29 PM, Sean Luke wrote: Hi Rinde. ECJ's only core grammar-guided system is its GE package at present. Bob Orchard also did a CGP implementation which you can get in the contrib folder or off the ECJ website. Beyond that, you're gonna be on your own. I should mention that GE is far and away the most popular such technique. Sean On Aug 1, 2011, at 5:15 AM, Rinde van Lon wrote: > Hi everyone, > > I'm using the Grammatical Evolution (GE) package in ECJ (ec.gp.ge.*) > to evolve the control structure of an agent in a multi-agent system. > This approach seems to be working fairly well. However, my choice > for using GE was rather arbitrary and I would like to compare my > current implementation using GE to other GGGP (Grammar Guided GP) > solutions. > > The reason that I want to conduct this comparison is because I'm in > doubt if GE is the best representation for my problem. For example, > in  GE is outperformed by GP on the Santa Fe Ant Trail problem. > Because the Santa Fe Ant Trail problem is in the agent domain, I > suspect that GP might be better for my agent problem as well. > > There are two GGGP representations which I would like to use in my > implementation, and therefore in ECJ. One is 'plain' grammar guided > GP and the other is tree adjoining grammars (TAG). According to , > one of the benefits of using TAGs is: "The TAG transformation > permits local dependencies in the genotype space to map to long- > distance dependencies in the intermediate phenotype space in a > controlled way, corresponding to the structure of the grammar." > > In short my questions are: > • Does the above reasoning for researching other grammar based GP > representations make sense, or am I missing the point (or some > recent literature)? > • Are there other GGGP implementations in ECJ besides GE, such as > plain GGGP and TAG? If not, why? > If other GGGP implementations do not exist, I'm thinking of > developing them as extensions to ECJ in the future. > > 1. OʼNeill, M. and Ryan, C. Grammatical Evolution. Evolutionary > Computation 5, 4 (2001), 349-358. > 2. McKay, R.I., Hoai, N.X., Whigham, P.A., Shan, Y., and O’Neill, > M. Grammar-based Genetic Programming: a survey. Genetic Programming > and Evolvable Machines 11, 3-4 (2010), 365-396. > > Best regards, > Rinde van Lon > > Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm for > more information.