Yeap and Jefferies  show how a description of each local space is computed and by realising how these local spaces are connected, a cognitive map of one's environment will emerge. However, roboticists have shown that it is difficult to compute such a map with precise metric information. In this paper, we show some preliminary ideas as to how a qualitative map could be constructed out of local spaces. The trick is to devolve each representation to make it less precise and then slowly learn more about each space so that it later becomes unique. INTRODUCTION Much of the earlier work on qualitative representations of space are concerned with providing a suitable calculus for representing and reasoning with spatial entities. Examples of such work include: [2-6]. In this study, we are concerned with how a qualitative representation of space is derived from what is perceived and how such a representation can later become a useful cognitive map. Humans' immediate perceptio..
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