Learning to shepherd an unknown flock , while maintaining apparent flock autonomy
نویسنده
چکیده
Shepherding in flocking models has been done since Craig Reynolds invented flocking using local interaction rules [4]. Since then most shepherding flocking models came with two agents: a herd-able agent and a shepherd. These agent were made for each other in the sense that they exert nice and realistic behavior when used together. In this thesis a method will be devised that is able to shepherd a wide range of flocks. Part of this method is that shepherds will have to learn how to shepherd a new flock. An extra restriction to this problem will be that the result should look natural. Learning to shepherd an unknown flock, while maintaining apparent flock autonomy 1/72
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