Epilogue
Abstract
This chapters offers a perspective on the overall field of learning and reasoning, with emphasis on the scheme of life-long learning. The modeling of the environment by the unified notion of constraint is advocated especially for conquering the symbolic representations that are useful to carry out high level inference. The epilogue stresses the importance of assigning a purpose to the agents and of prospecting an artificial world which emphasizes their social interactions. It is claimed that the power of deep learning can be dramatically amplified when the agents live in a truly interactive environment. The importance of lively interactive learning protocols has opened the debate on the role of the benchmarks ...
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