EVOLUTIONARY COMPUTATION

                           Paper Review Form


MS #:   EC-PA-9609-0213
Title:  Evolutionary Induction of Sparse Neural Programs	
Author: Byoung-Tak Zhang, Peter Ohm, Heinz Muhlenbein
Reviewer Number:  1

Please comment on the aspects of the manuscript listed below, as well as
any additional relevant topics.

> GOALS AND CONTRIBUTIONS.  Does the author clearly state the research
> goals of the work?  Does the paper clearly indicate what the
> contributions are?

> PRESENTATION.  Is the paper well-organized and well-written?  Does it
> use standard terminology?  Does the paper describe the method(s) in
> sufficient details for readers to replicate the work?  Does it clearly
> explain the representation and algorithms used?  Does the paper include
> enough examples?

> EVALUATION.  Does the author carefully evaluate the approach?  Does the
> paper include systematic experiments, a careful theoretical analysis, or
> give evidence of generality?

> DISCUSSION.  Does the paper discuss relevant earlier work, noting
> similarities, differences and progress?  Does it discuss the limitations
> of the approach as well as its advantages?  Does it consider the
> implication of the work and outline directions for future work?

> GENERAL.  Does the paper make a significant, technically sound
> contribution to the field of Evolutionary Computation?

> SPECIFIC TO SPECIAL ISSUE:  Does the paper address an issue in the 
> domain of the special issue (see the call for papers at
> http://www.ai.mit.edu/people/unamay/ec-cfp.html)? In particular, does 
> the paper confront a challenging, important problem central to evolutionary
> program induction?