Preface

G Mitchell A. Potter and R. Paul Wiegand

One major motivation behind the Coevolutionary Coadaptive Systems symposium is to begin the process of bringing together researchers who have historically focused on different, yet fundamentally related AI search techniques. In that sense, we hope to construct a technique-oriented workshop to discuss overlapping concepts and shared challenges in systems that involve multiple interacting elements that are learned concurrently in relationship to one another. We came to the idea of creating an explicitly cross-technique topic by observation: Previous domain-oriented workshops, such as last year’s AAAI Fall Symposium on Artificial Multiagent Learning brought together researchers from what appear to be fairly disparate disciplines in AI to focus shared class of problems. In contrast, this symposium seeks to bring people together over the commonalities in the techniques themselves.


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