Machine Learning to Machine Reasoning

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Learning and Reasoning are two essential abilities associated with intelligence. As humans we see a scene, we hear a sentence and we just know what they mean. We can learn and we can take decisions based on reasoning. Bringing this capability to machine is a challenging task. The efforts have been in achieving the same in the computing society.

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There are many challenges to be overcome in achieving this task and make machine a better learner. One frequently mentioned problem is the scarcity of labeled data. Machine learning is made of up of several trainable modules. Little attention has been paid to describe how to assemble various trainable modules in order to address particular task.

Reasoning can be defined with two components.
One is algebra and another composition rules. Every model has to be defined with set of algebraic operations that can operate on the model. Then there are…

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