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We report a bio-inspired framework for training a neural network throughreinforcement learning to induce high level functions within the network. Basedon the interpretation that animals have gained their cognitive functions suchas object recognition - without ever being specifically trained for - as aresult of maximizing their fitness to the environment, we place our agent in anenvironment where developing certain functions may facilitate decision making.The experimental results show that high level functions, such as imageclassification and hidden variable estimation, can be naturally andsimultaneously induced without any pre-training or specifying them.

Inducing Functions through Reinforcement Learning without Task Specification