Symbolic representation and connectionist have various advantages, but they have inevitable disadvantages: frame problem, frame grounding, and difficulty in measuring similarity between objects. Especially, computing similarity is quite important in induction and learning. Thus, we suggest a memory model as well as memory update rules, and the memory model is based on Gädenfors’ the conceptual spaces compensating the problems of classical knowledge representations. The memory model is tested in a simulation environment with a mission that two heterogeneous robots equipped with different sensors search chemical weapons in an indoor environment.
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