Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Single display groupware: a model for co-present collaboration
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Solve customers' problems: interactive evolution for tinkering with computer animation
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Interactive Evolution for Simulated Natural Evolution
AE '95 Selected Papers from the European conference on Artificial Evolution
Picbreeder: evolving pictures collaboratively online
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Picbreeder: A case study in collaborative evolutionary exploration of design space
Evolutionary Computation
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Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power of the genetic algorithm (GA). Here, we articulate a framework for an extension of IEC into collaborative interactive evolution, in which multiple users guide the evolutionary process. In doing so, we introduce the ability for users to combine their efforts for the purpose of evolving effective solutions to problems. This necessarily gives rise to the possibility of conflict between users. We draw on the salient features of the GA to resolve these conflicts and lay the foundation for this new paradigm to be used as a tool for conflict resolution in complex group-wise human-computer interaction tasks.