作者: Bart Baddeley , Paul Graham , Andrew Philippides , Philip Husbands
DOI: 10.1007/978-3-642-25489-5_8
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摘要: It is known that ants learn long visually-guided routes through complex terrain. However, the mechanisms by which visual information first learnt and then used to control a route direction are not well understood. In this paper we investigate whether simple approach, involving scanning environment moving in appears most familiar, can provide model of visually guided learning ants. The specific embodiment an ant's system means movement viewing tightly coupled, familiar view specifies thus make. We show feasibility our approach as ant-like acquisition non-trivial simulated firstly using complete set views experienced during secondly approximation distribution these views.